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. 2024 Nov 13;12(22):2263. doi: 10.3390/healthcare12222263

The Effect of Lifestyle Interventions on Anxiety, Depression and Stress: A Systematic Review and Meta-Analysis of Randomized Clinical Trials

Sohrab Amiri 1, Nailah Mahmood 2, Syed Fahad Javaid 3,*, Moien AB Khan 4,*
Editor: John H Foster
PMCID: PMC11594078  PMID: 39595461

Abstract

Background/Objectives: Depression, anxiety, and stress are common mental health issues that affect individuals worldwide. This systematic review and meta-analysis examined the effectiveness of various lifestyle interventions including physical activity, dietary changes, and sleep hygiene in reducing the symptoms of depression, anxiety, and stress. Using stress as an outcome and conducting detailed subgroup analyses, this study provides novel insights into the differential effects of lifestyle interventions across diverse populations. Methods: Five databases were systematically searched: PubMed, Web of Science, Scopus, Cochrane Library, and Google Scholar, for gray literature searches. Keywords were used to search each database. The search period was from the conception of the databases until August 2023 and was conducted in English. For each analysis, Hedges’ g was reported with a 95% confidence interval (CI) based on the random-effects method. Subgroups were analyzed and heterogeneity and publication bias were examined. Results: Ninety-six randomized clinical trial studies were included in this meta-analysis. Lifestyle interventions reduced depression (Hedges g −0.21, 95% confidence interval −0.26, −0.15; p < 0.001; I2 = 56.57), anxiety (Hedges g −0.24, 95% confidence interval −0.32, −0.15; p < 0.001; I2 = 59.25), and stress (−0.34, −0.11; p < 0.001; I2 = 61.40). Conclusions: Lifestyle interventions offer a more accessible and cost-effective alternative to traditional treatments and provide targeted benefits for different psychological symptoms.

Keywords: lifestyle, anxiety, depression, stress, mental disorders, systematic review, meta-analysis

1. Introduction

Mental disorders are among the conditions that place a high burden on healthcare [1] and remain among the primary causes of disease burden worldwide. However, there is no evidence of a decrease in this burden compared to previous decades [2]. Depression and anxiety are two categories of common mental disorders with a significant health burden [2]. In 2021, the Global Burden of Disease Study indicated that depression and anxiety are leading causes of disability, and both are among the 25 leading causes of disability worldwide [2,3]. The global prevalence of depressive disorders in 2019 was equal to 3440.1 per 100,000, and the prevalence rates for men and women were 2713.3 and 4158.4 per 100,000, respectively [2]. In addition, the prevalence of anxiety disorders is 3379.5/100,000, and the prevalence rates for men and women are 2859.8 and 4694.75 per 100,000, respectively [2]. The COVID-19 pandemic has affected public health as well as social structures, contributing to a significant increase in stress levels and further exacerbating mental health challenges worldwide [4,5].

According to a World Health Organization (WHO) report published in 2022, one out of every eight people worldwide live with a mental illness [6]. Thus, globally, 970 million people live with a mental disorder, of which depression and anxiety are the most common [7]. Several factors are associated with the prevalence of depression, anxiety disorders, and stress, including personality traits [8], financial status [9], biological factors [10], parental factors [11], and chronic diseases [12]. Additionally, a class of factors that can affect depression, anxiety, and stress is related to lifestyle, including physical activity [13,14,15,16,17], dietary patterns [18,19], sleep problems [20,21], smoking [22,23], and body mass index [24,25,26].

Lifestyle refers to “the characteristics of inhabitants of a region in special time and place” [27]. Interventions based on a healthy lifestyle have improved physical and mental health, with several studies exhibiting their effectiveness in cases of type 2 diabetes [28,29], obesity [30,31], cardiovascular risk [32], reducing cancer risk [33], obstructive sleep apnea [34], preventing weight gain [35], and mental health [36]. Considering the role of lifestyle interventions in improving health status, studies have investigated their effects in improving mental health and issues related to it [37,38].

A healthy lifestyle effectively reduces depression and anxiety [39,40]. A comprehensive review of studies conducted on the effectiveness of lifestyle interventions for common mental disorders, including depression and anxiety, indicated that there is extensive research available on this field, based on which, review and meta-analysis studies have also been conducted [39,40,41,42,43,44,45,46]. Specifically, for depression, results indicate that Cohen’s effect size ranges from −0.18 to −0.95 [40,41,43] while, for anxiety symptoms, Cohen’s effect size has been reported at −0.19 [39]. Although these reviews and meta-analyses offer valuable insights, they have revealed critical gaps. Most studies have focused on depression and anxiety; however, psychological stress, which is a distinct mental health condition, has not been thoroughly explored [47]. Although the effectiveness of lifestyle interventions may vary across different patient populations, few studies have analyzed the outcomes based on these differences. Given that depression and anxiety are more prevalent among women, the specific impact of lifestyle interventions on these disorders in women has been understudied [48]. Furthermore, various scales have been used to measure depression, anxiety, and stress; however, the potential impact of these differences in measurement tools on study outcomes has not been sufficiently addressed in previous meta-analyses. Recognizing these gaps, this systematic review and meta-analysis aimed to evaluate the effects of lifestyle interventions on depression, anxiety, and stress. Additional objectives include analyzing the influence of these interventions across different population subgroups, specifically among women, and investigating how measurement scales may affect the results.

2. Methods

2.1. Inclusion and Exclusion Criteria

  1. The population studied in this research were under lifestyle interventions.

  2. Eligible studies must have a lifestyle intervention group and a control group.

  3. The outcomes examined in these studies were depression, anxiety, and stress.

  4. Randomized clinical trials were eligible. Non-randomized clinical trials, quasi-experimental, and cluster randomized clinical trials were not eligible. Quasi-experimental studies were excluded because of the likelihood of confounding variables affecting the internal validity. Furthermore, studies presenting mixed or combined results were omitted to maintain uniformity in the outcome metrics for depression, anxiety, and stress. It was not possible to calculate the exact effect size, because the studies did not report the number of clusters, intra-class correlation was not reported in cluster randomized control trials, and it was not possible to estimate the effect size correctly [49,50], nor pre-post designs.

  5. Studies that studied mixed multiple outcomes were not eligible.

  6. For some studies. several reports were published and, in these cases, only the study with the best quality was included in the meta-analysis, excluding the rest.

2.2. Information Sources

Five databases were systematically searched to retrieve eligible articles: PubMed, Web of Science, Scopus, the Cochrane Library, and Google Scholar. Google Scholar was specifically used to identify gray literature. A set of keywords were used to search each database. In addition, all references for previous review studies in this regard were also searched by one of the authors. The search period was demarcated from the beginning of database formation. The search was conducted in English until August 2023.

2.3. Search Strategy

The review protocol has been registered with PROSPERO under the identifier CRD42023390131. Since the data used in this review were gathered from publicly accessible databases and online searches, ethics committee approval and informed consent were not required necessary. The study selection process is illustrated in Figure 1. A syntax of keywords is shown in Appendix A.

Figure 1.

Figure 1

Flowchart diagram of screening studies included in this meta-analysis [51]. * Consider, if feasible to do so, reporting the number of records identified from each database or register searched (rather than the total number across all databases/registers). ** If automation tools were used, indicate how m7 any records were excluded by a human and how many were excluded by automation tools.

2.4. Selection Process

Eligible studies were screened and selected as follows. First, each author screened the collection of studies compiled from five databases based on the inclusion and exclusion criteria. Then, the work was divided into eligible articles, where each author reviewed a set of articles. This process was performed independently. Disagreements were resolved by discussing the final articles.

2.5. Data Collection Process

All eligible articles were divided among the authors so that each of them could extract the necessary data. After extracting data from each study, all extracted data were checked again. If the study data were insufficient, one of the authors contacted the other to obtain the necessary information.

2.6. Data Items

The intervention variable used in the present study consisted of interventions based on lifestyle. For an intervention to be considered as “lifestyle” oriented, at least two components from, the total lifestyle items had to be included. The outcomes of the study were depression, anxiety, and stress. Depression and anxiety are common mental health disorders. Instruments to measure depression, anxiety, and stress were used in this study. All scales used are listed in Table 1.

2.7. Study Risk of Bias Assessment

Following PRISMA guidelines, we used the Cochrane Collaboration’s risk of bias tool to evaluate the quality of the included studies [51]. The tool includes five dimensions of quality assessment: selection bias, performance bias, detection bias, attrition bias, and reporting bias. Bias was evaluated by judging each element from the five key domains. Each element was classified as having high, low, or unclear risk of bias. In this qualitative evaluation, the authors entered independently, and then qualitative evaluations were integrated through a discussion of disagreements. Overall, the quality was sufficient to support robust conclusions, with most studies meeting acceptable quality standards. A detailed summary of the risk of bias for each study is provided in Table 1, which aids in interpreting the reliability and generalizability of the meta-analysis findings.

2.8. Effect Measures

The effect size used in this study was the standardized mean difference, which was reported in the form of Hedges’ g effect size and 95% confidence interval (CI). Means, standard deviations, and sample sizes were used for each intervention and control group. In cases where these statistics were not reported, the sample size and p value were used.

2.9. Synthesis Methods

To calculate the effect size, the mean, standard deviation, and sample size of the intervention and treatment groups were extracted in the post-test. In some studies, instead of standard deviation, standard error or confidence interval was reported, and the Cochrane Handbook procedures were used to convert these into standard deviations [52]. Some studies used the mean change or mean difference or other tests to check for differences between the intervention and control groups. In this case, existing procedures were used to calculate the effect size, which included the use of sample size, p value, and direction, the details of which are mentioned in the guide [53]. Some studies have reported multiple dependent outcomes, which were transformed using existing procedures using Comprehensive meta-analysis-Version 3.3 software [53,54]. The effect size used in this study was Hedges’ g, and the 95% confidence interval was classified as follows: 0.20 (low), −0.50 (medium), 0.80 (large) [55]. For each analysis, Hedges’ g was reported with a 95% confidence interval (CI) based on the random-effects method. Hedges’ g was used because it considers the sample size, and the studies included in this meta-analysis had different sample sizes [56]. Based on the goals of this study, the following analyses were conducted. The effects of lifestyle interventions on depression, anxiety, and stress were analyzed separately. For each of these analyses, several subgroups were created based on the type of population and scale used to measure depression, anxiety, stress, and sex. Heterogeneity in the studies included in the meta-analysis and publication bias were also examined. These tests were used for the heterogeneity Q test and I2 [57,58]. An interpretation of I2 is as follows: may not be important, moderate, substantial, and considerable [59]. For publication bias, these tests used funnel plots [60,61], Egger’s test [62,63], and Trim and fill [64]. Comprehensive meta-analysis-3 software was used in this study [53].

3. Results and Discussion

3.1. Screened Studies

The studies were screened based on the flowchart shown in Figure 1. After identifying duplicate studies, ineligible studies and other studies that did not meet the inclusion criteria were excluded. Finally, 97 clinical trial studies [65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160] were included in this meta-analysis.

Table 1.

Studies included in meta-analysis.

Author and Year Country Follow-Up Population Age Sex
% Women
Sample Size Lifestyle Intervention Definition Mental Disorders Mental Disorders Scoring Measure Quality Dimensions Results
N (Mean, Standard Deviation)
Selection Bias Performance Bias Detection Bias Attrition Bias Reporting Bias
Random Sequence
Generation
Allocation Concealment
Anderson 2015 [66] Australia 3-month Breast cancer 45–60 Women 51 Pink Women’s Wellness Program 1-Depression
2-Anxiety
Higher scorer indicating more mental problemss 1-Greene
Climacteric Scale
Low Unclear High High Low Unclear Depression
Intervention
26 (4.1 ± 2.1)
Control
25 (4.3 ± 3.6)
Anxiety
Intervention
26 (4.9 ± 3.5)
Control
25 (4.5 ± 2.8)
Azami 2018 [67] Iran 3-month
6-month
Type
2 Diabetes
≥18 65.5% women 142 Nurse-led diabetes self-management 1-Depression Higher scorer indicating more mental problemss 1-Center for Epidemiologic Studies Depression Scale Low Low High Low Low Unclear 3-month
Intervention
71 (11.98 ± 4.97)
Control
71 (12.84 ± 4.61)
6-month
Intervention
71 (11.95 ± 5.03)
Control
71 (12.91 ± 4.5)
Brennan 2012 [68] Australia 6-month Overweight/Obese 11–19 54% women 63 Cognitive Behavioural Lifestyle 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problemss 1-Depression anxiety and stress scale Low Unclear Unclear Low Low Unclear Depression
Intervention
40 (7.9 ± 9.6)
Control
21 (4.2 ± 5.9)
Anxiety
Intervention
40 (7.0 ± 7.4)
Control
21 (6.8 ± 6.0)
Stress
Intervention
40 (9.9 ± 10.2)
Control
21 (7.7 ± 7.3)
Bringmann 2022 [69] Germany 1-month
2-month
6-month
Mild to moderate depression 49.1 ± 11.1 in intervention
51.0 ± 12.7 in control
77.8% women 54 Meditation-Based Lifestyle Modification 1-Depression
2-Stress
Higher scorer indicating more mental problemss 1-Beck Depression Inventory
2-Perceived Stress Scale-10
Low Low Low Low Low Unclear Depression
1-month
Intervention
27 (16.81 ± 10.65)
Control
27 (20.89 ± 8.14)
2-month
Intervention
27 (13.59 ± 10.63)
Control
27 (21.59 ± 9.67)
6-month
Depression
Intervention
27 (13.68 ± 10.36)
Control
27 (20.80 ± 10.95)
Stress
2-month
Intervention
27 (20.11 ± 5.34)
Control
27 (27.15 ± 4.58)
6-month
Intervention
27 (20.54 ± 5.64)
Control
27 (25.85 ± 6.59)
Brown 2001 [70] USA 8-week Mild to moderate depression 19–78 Women 104 Multi-Modal Intervention 1-Depression Higher scorer indicating more mental problems 1-Center for Epidemiologic Studies Depression Scale High Low Unclear Unclear Low Unclear Depression
Intervention
53 (10.4 ± 7.3)
Control
51 (16.7 ± 10.4)
Casañas 2012 [72] Spain 3-month
6-month
9-month
Major depression ≥20 89.2% women 231 Psycho-educational 1-Depression Higher scorer indicating more mental problems 1-Beck Depression Inventory Low Low High High Low Unclear 3-month
Intervention
119 (15.42 ± 7.53)
Control
112 (17.54 ± 7.18)
6-month
119 (15.37 ± 8.74)
Control
112 (16.51 ± 7.60)
9-month
119 (15.09 ± 8.62)
Control
112 (16.35 ± 7.84)
Cezaretto 2012 [73] Brazil 9-month Type 2
diabetes
18–79 67.8% women 177 Intensive interdisciplinary
intervention
1-Depression Higher scorer indicating more mental problems 1-Beck Depression Inventory Unclear Unclear Unclear Unclear High Unclear Intervention
75 (8.4 ± 7.7)
Control
60 (5.2 ± 5.1)
Chang 2018 [74] Korea 3-month Older Adults with major depressive disorder 77.8 ± 6.6 87.1% women 93 Multi-Domain Lifestyle Modification 1-Depression Higher scorer indicating more mental problems 1-Geriatric
Depression Scale (GDS)-Short Form
Low Low Unclear Low Low Unclear Intervention
47 (7.5 ± 4.1)
Control
46 (10.2 ± 3.6)
Charandabi 2017 [75] Iran 2-month spouses of pregnant women 31.9 ± 5.3 Men 126 Life Style Based Education 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Edinburgh Postnatal Depression Scale
2-Spielberger’s State-Trait Anxiety Inventory
Low Low High Low Low Unclear Depression
Intervention
62 (2.7 ± 3.4)
Control
63 (4.3 ± 3.8)
State anxiety
Intervention
62 (30.1 ± 7.7)
Control
63 (35.8 ± 10.5)
Trait anxiety
Intervention
62 (30.7 ± 7.6)
Control
63 (35.8 ± 9.7)
Chiang 2019 [76] Taiwan 3-month Metabolic Syndrome ≥40 Women 68 Lifestyle
modification combined with motivational counseling
1-Depression Higher scorer indicating more mental problems 1-Beck Depression Inventory Low Low Unclear Low Unclear Unclear Intervention
34 (3.8 ± 1.5)
Control
34 (9.1 ± 6.9)
Clark 2012 [77] USA 6-month Older people 60–95 65.9% women 360 Lifestyle intervention (Well Elderly Lifestyle) 1-Depression Higher scorer indicating more mental problems 1-Center for Epidemiologic Studies Depression Scale Low Unclear Low Low Low Unclear Intervention
186 (12.47 ± 9.68)
Control
173 (13.53 ± 11.17)
Croker 2012 [78] UK 6-month Obese 10.3 ± 1.6 69.4% women 63 family-based behavioral treatment 1-Depression Higher scorer indicating more mental problems 1-Children’s Depression Inventory Low High High Low Unclear Unclear Intervention
33 (49.24 ± 6.91)
Control
30 (48.13 ± 6.97)
Desplan 2014 [79] France 1-month obstructive sleep apnea 35–70 Unknown 22 lifestyle intervention 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Unclear High Unclear Unclean Unclean Unclean Depression
Intervention
11 (4.7 ± 2.6)
Control
11 (8.3 ± 3.6)
Anxiety
Intervention
11 (7.1 ± 3.7)
Control
11 (10.4 ± 3.8)
Devi 2014 [80] UK 6-week Angina Population 66.27 (8.35) in intervention
66.20 (10.06) in control
25.5% women 94 Activate Your Heart 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Low Low High High Low Unclean Depression
Intervention
37 (2.00 ± 2.00)
Control
42 (2.00 ± 4.25)
Anxiety
Intervention
36 (4.14 ± 3.50)
Control
39 (4.87 ± 3.73)
Dodd 2016 [81] Australia 28-week
36-week
4-month
overweight or obese 29.4 (5.4) for intervention
29.6 (5.4) for control
Women 2142 lifestyle intervention 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Edinburgh Postnatal Depression Scale-10
2-Spielberger’s State-Trait Anxiety Inventory
Low Low Unclear Unclear Unclear Unclear Depression
28-week
Intervention
976 (6.28 ± 4.53)
Control
957 (6.12 ± 4.75)
36-week
Intervention
976 (5.83 ± 4.58)
Control
957 (5.63 ± 4.72)
4-month
Intervention
976 (5.34 ± 4.51)
Control
957 (5.02 ± 4.30)
Anxiety
28-week
Intervention
976 (10.56 ± 3.56)
Control
957 (10.48 ± 3.66)
36-week
Intervention
976 (10.64 ± 3.62)
Control
957 (10.41 ± 3.56)
4-month
Intervention
976 (10.18 ± 3.64)
Control
957 (10.14 ± 3.50)
Forsyth 2015 [82] Australia 3-month patients with depression and anxiety 18–84 Both (%Women is unknown) 63 lifestyle intervention 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Depression anxiety and stress scale High High Unclear Unclear High Unclear Depression
Intervention
32 (6.0 ± 6.2)
Control
31 (5.9 ± 3.5)
Anxiety
Intervention
32 (3.5 ± 3.3)
Control
31 (3.7 ± 3.5)
Stress
Intervention
32 (6.7 ± 5.1)
Control
31 (8.0 ± 4.8)
Furuya 2015 [83] Brazil 6-month Patients following percutaneous
coronary intervention
≥18 43.3% women 60 educational programme 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Unclear Low Low Low Unclear Unclear Depression
Intervention
30 (5.1 ± 4.4)
Control
30 (7.6 ± 4.1)
Anxiety
Intervention
30 (5.4 ± 4.8)
Control
30 (4.7 ± 3.5)
Garcia 2023 [84] Spain 2-month
6-month
12-month
treatment-resistant depression ≥18 69.2% women 65 lifestyle modification program 1-Depression Higher scorer indicating more mental problems 1-Beck Depression Inventory-II Low Low Unclear Unclear Low Unclear 2-month
Intervention
34 (17.34 ± 10.8)
Control
31 (24.87 ± 14.2)
6-month
Intervention
34 (16.85 ± 13.3)
Control
31 (23.17 ± 17.3)
12-month
Intervention
34 (19.87 ± 15.9)
Control
31 (23.33 ± 15.3)
Giallo 2014 [85] Australia 2-week
6-week
Postpartum >18 Women 98 psychoeducational intervention 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Depression anxiety and stress scale Low Unclear Low Unclear Low Unclear 2-week
Depression
Intervention
39 (3.07 ± 4.05)
Control
59 (5.24 ± 7.01)
Anxiety
Intervention
39 (1.80 ± 3.03)
Control
59 (2.86 ± 3.96)
Stress
Intervention
39 (10.00 ± 6.18)
Control
59 (11.87 ± 9.33)
6-week
Depression
Intervention
39 (3.85 ± 4.09)
Control
59 (4.64 ± 5.23)
Anxiety
Intervention
39 (1.95 ± 3.20)
Control
59 (2.34 ± 3.49)
Stress
Intervention
39 (9.95 ± 7.41)
Control
59 (10.88 ± 9.12)
Glasgow 2006 [86] USA 2-month Type 2 diabetes 61.5 ± 11.3 50% women 301 lifestyle intervention 1-Depression Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
Unclear Unclear Unclear Unclear Low Unclear Intervention
147 (5.5 ± 5)
Control
152 (5.5 ± 5.3)
Guo 2021 [87] China 3-month
6-month
Gestational Diabetes Mellitus ≥18 Women 320 Intensive Lifestyle Modification 1-Stress Higher scorer indicating more mental problems 1-perceived stress scale Low Low High Low Low Unclear 3-month
Intervention
160 (24.22 ± 7.93)
Control
160 (24.53 ± 6.72)
6-month
Intervention
160 (24.18 ± 7.33)
Control
160 (24.60 ± 5.47)
Han 2020 [88] Hong Kong 15-week major depressive disorder 47.06 (9.54) in intervention
45.44 (8.25) in control
Both (%Women is unknown) 33 Dejian mind-body intervention 1-Depression Higher scorer indicating more mental problems 1-Hamilton Psychiatric Rating Scale
for Depression (HRSD)
2-Beck Depression Inventory
Low Low Low Low Unclear Unclear HRSD
Intervention
17 (6.50 ± 4.31)
Control
16 (9.75 ± 4.16))
BDI
Intervention
17 (17.94 ± 12.70)
Control
16 (24.79 ± 14.91))
Heutink 2012 [89] The Netherlands Post-intervention
3-month
spinal cord injury ≥18 30.06% women 61 Multidisciplinary
cognitive behavioral program
1-Anxiety Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Unclear Unclear Unclear Unclear Low Unclear Post-intervention
Intervention
31 (5.6 ± 3.6)
Control
30 (5.7 ± 3.4)
3-month
Intervention
31 (5.9 ± 3.6)
Control
30 (5.6 ± 3.6)
Hilmarsdóttir 2021 [90] Iceland 6-month type 2 diabetes mellitus 25–70 63.3% women 30 Sidekick Health smartphone app 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Unclear Low High Low Unclear Unclear Depression
Intervention
15 (3.3 ± 3.0)
Control
15 (4.2 ± 4.6)
Anxiety
Intervention
15 (4.1 ± 3.8)
Control
15 (5.5 ± 4.7)
Holt 2019 [91] UK 3-month
12-month
Schizophrenia ≥18 49% women 412 structured education lifestyle program 1-Depression Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
Low High High Low Unclear Unclear 3-month
Intervention
178 (10.3 ± 6.3)
Control
180 (10.1 ± 7.1)
12-month
Intervention
167 (9.9 ± 7.0)
Control
173 (9.6 ± 6.6)
Hwang 2019 [92] Korea 4-week nurses employed Unspecified 94.6% women 56 Stress-Management Program 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
2-Generalized Anxiety Disorder-7
3-Perceived Stress Scale-10
Unclear Unclear Unclear Unclear Unclear Unclear Depression *
Intervention
26 (6.46 ± 4.99)
Control
30 (6.93 ± 4.98)
Anxiety
Intervention
26 (4.23 ± 4.38)
Control
30 (5.40 ± 4.38)
Stress
Intervention
26 (18.50 ± 3.56)
Control
30 (19.16 ± 3.56)
Ihle-Hansen 2014 [93] Norway 12-month Stroke 72.6 (11.2 in intervention
70.6 (13.6) in control
46.7% women 195 multifactorial risk factor intervention program 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Unclear Unclear Low Low Low Unclear Depression
Intervention
98 (2.91 ± 2.63)
Control
97 (3.49 ± 3.02)
Anxiety
Intervention
97 (3.10 ± 2.83)
Control
97 (3.95 ± 3.50)
Imayama 2011 [94] USA 12-month overweight/obese
postmenopausal women
50–75 Women 204 diet and/or exercise interventions 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Brief Symptom Inventory-18
2-Perceived Stress Scale
Low Unclear Unclear Low Low Unclear Depression
Intervention
117 (46.2 ± 8.2)
Control
87 (48.4 ± 9.6)
Anxiety
Intervention
117 (43.5 ± 6.4)
Control
87 (45.3 ± 8.7)
Stress
Intervention
117 (2.66 ± 2.27)
Control
87 (3.89 ± 2.75)
Inouye 2014 [95] USA 6-month at risk for diabetes ≥30 Both %Women is unknown 40 Lifestyle Intervention 1-Depression Higher scorer indicating more mental problems 1- Center for Epidemiologic Studies Depression Scale Unclear Unclear Unclear Unclear Unclear Unclear Intervention
22 (12.21 ± 10.97)
Control
18 (13.52 ± 11.28)
Ip 2021 [96] China 6-week
12-week
moderate to severe depression ≥18 83.9% women 31 group-based lifestyle medicine 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
2-Depression anxiety and stress scale
Low Low High Low Low Unclear 6-week
PHQ-9-depression
Intervention
16 (7.4 ± 2.3)
Control
15 (9.5 ± 3.7)
DASS—Depression
Intervention
16 (7.0 ± 3.7)
Control
15 (12.9 ± 7.8)
Anxiety
Intervention
16 (4.3 ± 2.5)
Control
15 (11.1 ± 8.0)
Stress
Intervention
16 (13.5 ± 7.7)
Control
15 (17.1 ± 9.6)
12-week
PHQ-9-depression
Intervention
16 (7.5 ± 3.6)
Control
15 (10.2 ± 3.8)
DASS—Depression
Intervention
16 (9.5 ± 7.8)
Control
15 (13.3 ± 9.0)
Anxiety
Intervention
16 (6.5 ± 2.8)
Control
15 (10.7 ± 7.3)
Stress
Intervention
16 (11.5 ± 6.9)
Control
15 (16.9 ± 9.6)
Jonsdottir 2015 [99] Iceland 6-month obstructive pulmonary
disease
45–65 54% women 100 self-management programme 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Low Unclear Low Unclear Low Unclear Depression
Intervention
46 (3.28 ± 3.30)
Control
49 (3.92 ± 3.28)
Anxiety
Intervention
48 (6.60 ± 4.26)
Control
52 (7.25 ± 3.61)
Kelly 2020 [100] Australia 12-week
16-week
consumers
of a community mental health service
18–65 58% women 43 peer delivered healthy lifestyle intervention 1-Depression Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
Low Low Unclear Low Unclear Unclear 12-week
Intervention
13 (11.62 ± 6.55)
Control
14 (12.79 ± 7.54)
16-week
Intervention
16 (10.50 ± 6.13)
Control
16 (11.94 ± 6.12)
Kieffer 2013 [101] USA Unknown Pregnant ≥18 Women 275 Healthy Lifestyle Intervention 1-Depression Higher scorer indicating more mental problems 1-Center for Epidemiologic Studies Depression Scale Low Low Unclear Low Low Unclear Intervention
138 (11.24 ± 7.98)
Control
137 (12.71 ± 7.84)
Kim 2011 [102] Korea 12-week Breast Cancer 26–69 Women 45 Matched Exercise and Diet 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Unclear Unclear Unclear Unclear Low Unclear Depression
Intervention
23 (3.32 ± 2.58)
Control
22 (5.85 ± 3.65)
Anxiety
Intervention
23 (3.97 ± 2.30)
Control
22 (5.46 ± 2.76)
Koch 2021 [103] Germany 12-week
24-week
48-week
Ulcerative
Colitis
18–74 Unknown 97 Lifestyle Modification 1-Depression
2-Anxiety
2-Stress
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
1-perceived stress scale
Low Unclear Unclear Unclear Low Unclear Depression
12-week
Intervention
47 (4.74 ± 3.39)
Control
50 (5.81 ± 3.91)
24-week
Intervention
47 (5.57 ± 3.52)
Control
50 (6.18 ± 3.59)
48-week
Intervention
47 (4.45 ± 3.46)
Control
50 (4.74 ± 3.36)
Anxiety
12-week
Intervention
47 (6.67 ± 3.84)
Control
50 (7.45 ± 3.55)
24-week
Intervention
47 (7.61 ± 4.26)
Control
50 (7.55 ± 3.48)
48-week
Intervention
47 (6.46 ± 3.98)
Control
50 (6.55 ± 3.20)
Stress
12-week
Intervention
47 (14.00 ± 6.38)
Control
50 (18.59 ± 6.89)
24-week
Intervention
47 (15.76 ± 6.44)
Control
50 (18.47 ± 6.29)
48-week
Intervention
47 (13.75 ± 7.20)
Control
50 (16.05 ± 6.80)
Kwon 2015 [105] Korea 4-week Community Dwelling ≥65 59.5% women 93 Wheel of Wellness counseling intervention 1-Depression Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
Low Low High Unclear Unclear Unclear Intervention
43 (4.51 ± 4.59)
Control
46 (5.02 ± 5.47)
Lee 2015 [106] Korea 6-month obstructive pulmonary
disease
40–80 8.6% women 151 nurse-led problem-solving therapy 1-Depression Higher scorer indicating more mental problems 1- Center for Epidemiologic Studies Depression Scale Unclear Unclear Unclear Unclear High Unclear Intervention
78 (15.9 ± 8.0)
Control
73 (17.2 ± 8.0)
Leemrijse 2016 [107] the Netherlands 6-month patients
with recent coronary event
18–80 19% women 374 Hartcoach 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Low Unclear Low Unclear Low Unclear Depression
Intervention
145 (3.31 ± 3.71)
Control
167 (3.83 ± 3.64)
Anxiety
Intervention
145 (3.95 ± 3.59)
Control
167 (4.88 ± 4.00)
Lund 2012 [108] Norway 9-month stroke survivors 75 (7.2 in intervention
79 (6.5) in control
51.2% women 204 lifestyle course 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Low Low Unclear Low Unclear Unclear Depression
Intervention
39 (3.4 ± 2.7)
Control
47 (4.2 ± 3.4)
Anxiety
Intervention
39 (3.1 ± 3.4)
Control
47 (4.4 ± 4.0)
María Nápoles 2020 [109] USA 3-month
6-month
breast cancer survivors 28–88 Women 153 stress
management intervention
1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
2-Brief Symptom Inventory scales
3-Perceived Stress Scale
Low Low Unclear Low Low Unclear Depression
3-month
Intervention
76 (6.81 ± 5.31)
Control
77 (6.97 ± 5.12)
6-month
Intervention
76 (6.96 ± 5.62)
Control
77 (6.44 ± 5.15)
Anxiety
3-month
Intervention
76 (0.63 ± 0.61)
Control
77 (0.65 ± 0.70)
6-month
Intervention
76 (0.52 ± 0.53)
Control
77 (0.70 ± 0.64)
Stress
3-month
Intervention
76 (14.45 ± 6.63)
Control
77 (14.08 ± 7.35)
6-month
Intervention
76 (14.70 ± 6.14)
Control
77 (15.14 ± 6.28)
Martín 2014 [110] Spain 6-month Fibromyalgia 50.12 ± 9.07 93.5% women 110 Interdisciplinary PSYMEPHY
Treatment
1-Anxiety Higher scorer indicating more mental problems 1-Fibromyalgia Impact Questionnaire Low Unclear Unclear Unclear Unclear Unclear Intervention
54 (13.41 ± 4.31)
Control
56 (12.75 ± 4.55)
Mayer-Davis 2018 [111] USA 18-month Type 1 diabetes 13–16 38.8% women 99 Flexible Lifestyles for Youth 1-Depression Higher scorer indicating more mental problems 1- Center for Epidemiologic Studies Depression Scale Low Low Unclear High Low Unclear Intervention
118 (6∙63 ± 7∙12)
Control
123 (8∙46 ± 7∙08)
Mensorio 2019 [112] Spain 3-month Obesity and hypertension 18–65 Unknown 106 Living Better 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Depression anxiety and stress scale Low Unclean Unclear Unclear Low Unclear Depression
Intervention
43 (2.88 ± 3.6)
Control
48 (2.79 ± 3.5)
Anxiety
Intervention
43 (1.73 ± 2.6)
Control
48 (3.04 ± 3.4)
Stress
Intervention
43 (3.40 ± 2.9)
Control
48 (5.20 ± 4.1)
Michalsen 2005 [113] Germany 12-month Coronary
Artery Disease
59.4 ± 8 8.6 22.8% Women 101 lifestyle modification program 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Beck
Depression Inventory
2-Spielberger
State-Trait Anger Expression Inventory
3-Cohen Perceived Stress Scale
Low Low Unclear Unclear Low Unclear Depression
Intervention
48 (6.4 ± 4.2)
Control
53 (7.6 ± 4.7)
State anxiety
Intervention
48 (36.5 ± 8.8)
Control
53 (36.2 ± 7.6)
Trait anxiety
Intervention
48 (35.7 ± 8.3)
Control
53 (37.5 ± 10.0)
Stress
Intervention
48 (19.1 ± 7.6)
Control
53 (21.7 ± 7.7)
Moncrieft 2016 [144] USA 6-month
12-month
Type 2 Diabetes 18–70 71.2% women 111 Lifestyle Modification 1-Depression Higher scorer indicating more mental problems 1-Beck Depression Inventory-II Low Low Unclean Low Low Unclear 6-month
Intervention
42 (10.75 ± 7.76)
Control
48 (16.09 ± 9.15)
12-month
Intervention
41 (9.85 ± 8.86)
Control
46 (16.00 ± 10.80)
Moore 2011 [158] Australia 6-month At risk of type 2 diabetes 61.3 ± 11.1 59% women 307 group-based
lifestyle intervention
1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Depression anxiety and stress scale High Unclean Unclean Unclean Unclean Unclean Depression
Intervention
167 (5.32 ± 7.03)
Control
85 (4.87 ± 6.78)
Anxiety
Intervention
167 (4.57 ± 5.84)
Control
85 (3.56 ± 4.31)
Morales-Fernández 2021 [159] Spain 3-month
6-month
9-month
non-malignant pain 45–61 percentile 67.7% women 279 nurse-led intervention 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
2-Generalized Anxiety Disorder Scale
Low Low High Low Low Unclear Depression
3-month
Intervention
174 (10.06 ± 5)
Control
105 (11.31 ± 6.19)
6-month
Intervention
174 (10.16 ± 5.11)
Control
105 (11.61 ± 5.81)
9-month
Intervention
174 (10.43 ± 5.29)
Control
105 (12.66 ± 5.99)
Anxiety
3-month
Intervention
174 (8.43 ± 4.76)
Control
105 (9.1 ± 5.31)
6-month
Intervention
174 (7.72 ± 4.73)
Control
105 (8.95 ± 4.92)
9-month
Intervention
174 (7.51 ± 4.77)
Control
105 (9.16 ± 4.7)
Moseley 2009 [115] Australia Post-Program
6-week
Adolescent 15.6 ± 0.6 66.7% women 81 School-Based Intervention 1-Depression Higher scorer indicating more mental problems 1-Depression anxiety and stress scale Unclear Unclear Unclear Unclear Unclear Unclear Post-Program
Intervention
21 (10.0 ± 7.7)
Control
12 (14.2 ± 11.8))
6-week
Intervention
17 (12.9 ± 7.3)
Control
13 (13.9 ± 10.7)
Mountain 2017 [116] UK 6-month
24-month
older
adults
≥65 68.05% women 262 occupation-based lifestyle intervention 1-Depression Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
Low Low High Low Low Unclear 6-month
Intervention
133 (3.8 ± 4.2)
Control
122 (3.4 ± 4.3)
24-month
Intervention
122 (3.8 ± 4.6)
Control
114 (4.0 ± 4.8)
Murawski 2019 [117] Australia 3-month
6-month
Adults with insufficient physical activity/poor sleep quality 18−55 80% women 160 physical activity and sleep quality 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Depression anxiety and stress scale Low Low Unclear Unclear Low Unclear Depression
3-month
Intervention
59 (10.6 ± 7.62)
Control
65 (12.6 ± 7.97)
6-month
Intervention
34 (10.9 ± 8.01)
Control
53 (13.3 ± 9.49)
Anxiety
3-month
Intervention
59 (6.4 ± 3.65)
Control
65 (7.5 ± 5.04)
6-month
Intervention
34 (5.9 ± 3.54)
Control
53 (8.9 ± 4.70)
Stress
3-month
Intervention
59 (13.6 ± 4.20)
Control
65 (15.4 ± 4.97)
6-month
Intervention
34 (13.0 ± 5.75)
Control
53 (16.3 ± 5.24)
Nie 2019 [118] China 3-month
6-month
9-month
12-month
coronary artery disease 18–80 27.5% women 284 lifestyle improving program 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Low Low High Low Low Unclear Depression
3-month
Intervention
142 (9.85 ± 2.48)
Control
142 (9.71 ± 2.94)
6-month
Intervention
142 (9.44 ± 2.84)
Control
142 (9.48 ± 3.06)
9-month
Intervention
142 (8.57 ± 2.81)
Control
142 (9.13 ± 3.22)
12-month
Intervention
142 (8.21 ± 3.03)
Control
142 (9.08 ± 3.30)
Anxiety
3-month
Intervention
142 (9.37 ± 2.74)
Control
142 (9.63 ± 2.38)
6-month
Intervention
142 (8.82 ± 2.51)
Control
142 (9.21 ± 2.52)
9-month
Intervention
142 (8.26 ± 2.24)
Control
142 (8.93 ± 2.36)
12-month
Intervention
142 (7.80 ± 2.38)
Control
142 (8.88 ± 2.37)
O’Neill 2015 [119] UK 6-month prostate cancer 69.7 ± 6.8 in intervention
69.9 ± 7.0 in control
Men 94 diet and physical activity 1-Stress Higher scorer indicating more mental problems 1-Perceived Stress Scale Low Low Unclean High Low Unclear Intervention
47 (10.5 ± 6.9)
Control
47 (11.2 ± 10.2)
O’Reilly 2016 [120] Australia 12-month Gestational Diabetes ≥18 Women 573 group-based lifestyle modification 1-Depression
Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
Low Unclear Unclear Unclear Low Unclear Intervention
284 (4.41 ± 4.38)
Control
289 (4.39 ± 4.25)
Phelan 2014 [121] USA 6-month
12-month
pregnancy >18 Women 401 behavioral intervention 1-Depression
2-Stress
Higher scorer indicating more mental problems 1-Edinburgh Postnatal Depression Scale
2-Perceived Stress Scale
Low Unclear Low Low Low Unclear Depression
6-month
Intervention
128 (5.1 ± 4.2)
Control
133 (4.4 ± 3.6)
12-month
Intervention
128 (5.6 ± 4.2)
Control
133 (4.9 ± 4.1)
Stress
6-month
Intervention
128 (8.3 ± 3.0)
Control
133 (7.8 ± 2.9)
12-month
Intervention
128 (8.4 ± 2.8)
Control
133 (8.1 ± 2.9)
Psarraki 2021 [122] Greece Unknown major depressive disorder 18–65 83.9% women 69 Pythagorean Self-Awareness 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Depression anxiety and stress scale
2-Beck Depression Inventory
Low Unclear High High Unclear Unclear Depression
Intervention
30 (13.31 ± 9.71)
Control
32 (18.41 ± 12.66)
Anxiety
Intervention
30 (14.77 ± 11.07)
Control
32 (15.19 ± 12.59)
Stress
Intervention
30 (14.89 ± 9.69)
Control
32 (19.40 ± 10.08)
BDI
Intervention
30 (14.70 ± 9.77)
Control
32 (22.28 ± 13.45)
Sacco 2009 [123] USA 6-month type 2 diabetes 18–65 Both %Women is unknown 62 regular telephone intervention 1-Depression Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
High Unclear Unclear Unclean Low Unclear Intervention
31 (14.74 ± 5.96)
Control
31 (16.87 ± 7.39)
Sanaati 2017 [124] Iran 8-week Pregnancy 27.5 (4.9) in intervention
27.7 (4.9) in control
Women 125 lifestyle-based education 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Edinburgh Postnatal Depression Scale
2-Spielberger State-Trait Anxiety Inventory
Low Low High Low Low Unclear Depression
Intervention
62 (4.6 ± 3.5)
Control
63 (7.5 ± 3.7)
State anxiety
Intervention
62 (34.4 ± 6.4)
Control
63 (39.1 ± 9.2)
Trait anxiety
Intervention
62 (33.4 ± 7.1)
Control
63 (39.0 ± 8.3)
Saxton 2014 [125] UK 6-month breast cancer 55.8 (10.0) in intervention
55.3 (8.8) in control
Women 85 pragmatic lifestyle intervention 1-Depression
2-Stress
Higher scorer indicating more mental problems 1-Beck Depression Inventory
2-Perceived Stress Scale
Low Low Unclear Low Low Unclear Depression
Intervention
44 (5.1 ± 4.9)
Control
41 (7.9 ± 6.0)
Stress
Intervention
44 (18.2 ± 7.7)
Control
41 (19.5 ± 6.8)
Sebregts 2005 [126] the Netherlands Post-intervention
9-month
acute myocardial infarction or coronary artery bypass grafting 55.6 [8.0 in intervention
55.2 [9.7] in control
Both %Women is unknown 184 hort behavior modification program 1-Depression Higher scorer indicating more mental problems 1-Beck Depression Inventory Unclean Low Low Unclear Low Unclear Post-intervention
Intervention
83 (7.7 ± 6.0)
Control
75 (5.8 ± 4.9)
9-month
Intervention
83 (6.9 ± 4.8)
Control
75 (5.8 ± 5.1)
Serrano Ripoll 2015 [127] Spain 6-month
12-month
Primary
Care patients
IQR 40–61 82%women 273 Lifestyle change recommendations 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Beck Depression Inventory
2-Spielberger State-Trait Anxiety Inventory
Unclear Low Low Low Low Unclear Depression
6-month
Intervention
106 (18.2 ± 9.98)
Control
120 (16.6 ± 12.57)
12-month
Intervention
95 (17.3 ± 9.44)
Control
99 (16.1 ± 11.42)
Anxiety
6-month
Intervention
106 (70.9 ± 25.47)
Control
120 (62.3 ± 27.10)
12-month
Intervention
95 (67.8 ± 20.88)
Control
99 (61.0 ± 29.95)
Sheean 2021 [128] USA 12-week metastatic breast cancer ≥18 Women 35 lifestyle intervention 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
2-Perceived Stress Scale
Low Low Unclear Low Unclear Unclear Depression
Intervention
17 (3.2 ± 3.1)
Control
18 (3.4 ± 3.6)
Anxiety
Intervention
17 (5.8 ± 3.9)
Control
18 (4.6 ± 5.1)
Stress
Intervention
17 (14.0 ± 6.2)
Control
18 (12.3 ± 9.4)
Sorensen 1999 [129] Norway Unknown elevated
risk factors for cardiovascular disease
41–50 Both %Women is unknown 219 exercise and diet 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-General Health Questionnaire
2- Symptom
Check List-90 (SCL-90)
Unclear Unclear Unclear Unclear Unclear Unclear Depression
Intervention
67 (2.0 ± 1.7)
Control
43 (2.7 ± 2.9)
Anxiety
Intervention
67 (4.8 ± 5.2)
Control
43 (7.5 ± 6.8)
Speyer 2016 [130] Denmark Unknown Schizophreni/abdominal obesity 38.6 ± 12.4 56.1 women 428 lifestyle coaching 1-Stress Higher scorer indicating more mental problems 2-Perceived Stress Scale Low Low Low Low Low Unclear Intervention
138 (26.8 ± 7.8)
Control
148 (25.5 ± 7.4)
Sylvia 2019 [131] USA 20-week bipolar disorder 18–65 65.8% women 38 Nutrition exercise
wellness treatment
1-Depression Higher scorer indicating more mental problems 1-Montgomery Asberg Depression
Rating Scale
2-Clinical Global Impression Scale
Unclear Unclear Unclear Low Low Unclear CGI
Intervention
19 (2.3 ± 0.9)
Control
19 (2.4 ± 1.0)
MADRS
Intervention
19 (8.1 ± 6.7)
Control
19 (9.6 ± 8.2)
Takeda 2020 [132] Japan 7-month Elderly 77.03 (8.08 in intervention
75.51 (6.55) in control
88.2% women 127 lifestyle development program 1-Depression Higher scorer indicating more mental problems 1–15-item Geriatric
Depression Scale
Unclear Unclear Unclear Unclear Unclear Unclear Intervention
60 (4.20 ± 2.93)
Control
67 (4.64 ± 3.61)
Toobert 2007 [133] USA 6-month
12-month
24-month
type 2
diabetes
61.1 (8.0) in intervention
60.7 (7.8) in control
Women 279 Mediterranean lifestyle program 1-Depression
2-Stress
Higher scorer indicating more mental problems 1-Center for Epidemiologic Studies Depression Scale
2-Perceived Stress Scale
Unclear Unclear Unclear Unclear Low Unclear Depression
6-month
Intervention
163 (13 ± 11)
Control
116 (15 ± 12)
12-month
Intervention
163 (15 ± 11)
Control
116 (14 ± 9)
24-month
Intervention
163 (12 ± 11)
Control
116 (14 ± 10)
Stress
6-month
Intervention
163 (2.5 ± 0.62)
Control
116 (2.6 ± 0.59)
12-month
Intervention
163 (2.6 ± 0.66)
Control
116 (2.6 ± 0.58)
24-month
Intervention
163 (2.4 ± 0.64)
Control
116 (2.6 ± 0.61)
Tousman 2011 [134] USA 2-month Asthma 51.4 (14.7) in intervention
55.0 (10.0)
68.9% women 45 behavior modification procedure 1-Depression Higher scorer indicating more mental problems 1-Geriatric Depression Scale Unclear Unclear Unclear Unclear Unclear Unclear Intervention
21 (1.8 ± 2.1)
Control
24 (1.9 ± 2.1)
Trento 2020 [135] Italy 4-year type 2
diabetes
62.6 ± 7.5 in intervention ± 9.1 in control 36% women 50 Self-management education 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Unclean Low High High Low Unclear Depression
Intervention
24 (4.5 ± 3.86)
Control
25 (3.44 ± 2.95)
Anxiety
Intervention
24 (4.83 ± 3.25)
Control
25 (5.28 ± 3.45)
Tsai 2021 [136] Taiwan 2-week at-risk mental state 20–35 55.4% women 92 Health-Awareness-Strengthening Lifestyle 1-Anxiety Higher scorer indicating more mental problems 1-State and Trait Anxiety Inventory Low Unclear Unclear Unclear Low Unclear State Anxiety
Intervention
46 (42.5 ± 7.7)
Control
46 (47.7 ± 9.5)
Trait Anxiety
Intervention
46 (52.0 ± 7.0)
Control
46 (56.0 ± 7.0)
Ural 2021 [137] Turkey 6-week gestational diabetes mellitus ≥18 Women 88 health-promoting lifestyle education 1-Depression Higher scorer indicating more mental problems 1-Center for Epidemiologic Studies Depression Scale High High Unclear Unclear Unclear Unclear Intervention
46 (14.93 ± 9.39)
Control
42 (15.74 ± 8.54)
Van Dammen 2019 [138] the Netherlands 5-year Obesity and
infertility
18–39 Women 577 lifestyle intervention 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
2-Perceived Stress Scale-10
Unclear Unclear Unclear Unclear Unclear Unclear Depression
Intervention
84 (7.7 ± 3.66)
Control
94 (7.7 ± 2.90)
Anxiety
Intervention
84 (8.0 ± 3.66)
Control
94 (8.2 ± 2.90)
Stress
Intervention
52 (14.4 ± 6.48)
Control
63 (13.7 ± 4.76)
van der Wulp 2012 [139] the Netherlands 3-month
6-month
type 2
diabetes
Unknown 45.4% women 119 peer-led self-management 1-Depression Higher scorer indicating more mental problems 1-Center for Epidemiologic Studies Depression Scale Unclear Unclear Unclear Unclear Low Unclear 3-month
Intervention
59 (10.60 ± 8.03)
Control
60 (11.20 ± 8.52)
6-month
Intervention
59 (8.64 ± 8.56)
Control
60 (12.07 ± 9.55)
Wang 2014 [140] USA 4-month
12-month
type 2 diabetes ≥18 76.6 women 252 Diabetes Self-Management 1-Depression Higher scorer indicating more mental problems 1-Center for Epidemiologic Studies Depression Scale Low Low Unclear Low Unclear Unclear 4-month
Intervention
117 (17.5 ± 13.0)
Control
112 (21.8 ± 12.4)
12-month
Intervention
109 (18.5 ± 13.0)
Control
107 (22.6 ± 13.4)
Wang 2017 [141] China 1-month
3-month
Metabolic syndrome 24–78 50.9% women 173 lifestyle intervention program 1-Depression Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Low Low Unclear Low Low Unclear 1-month
Intervention
86 (3.23 ± 2.71)
Control
87 (3.94 ± 3.49)
3-month
Intervention
86 (2.13 ± 2.06)
Control
87 (3.43 ± 2.96)
Williams 2018 [142] Australia 26-week Low Back Pain 56.7 ± 13.4 59.1% women 159 Healthy Lifestyle Intervention 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Depression anxiety and stress scale Low Low Unclear Low Low Low Depression
Intervention
43 (13.1 ± 11.2)
Control
61 (11.9 ± 11.1)
Anxiety
Intervention
43 (9.8 ± 8.3)
Control
61 (9.4 ± 9.0)
Stress
Intervention
43 (14.3 ± 10.7)
Control
61 (13.8 ± 11.1)
Wong 2021 [143] China 9-week moderate level of depressive symptoms 32.9 ± 12.5 84.8% women 79 Lifestyle Medicine 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
2-General Anxiety Disorder
Low Unclear High Unclean Unclear Unclear Depression
Intervention
39 (8.8 ± 3.8)
Control
40 (11.6 ± 4.7)
Anxiety
Intervention
39 (7.8 ± 3.2)
Control
40 (11.5 ± 4.6)
Sample size and p value
Advocat 2016 [65] Australia 6-month Parkinson’s disease 18–75 57.9% women 48 Mindfulness-based lifestyle 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Depression anxiety and stress scale Low Low Low Low High Unclear Depression
Intervention
23
Control
25
p = 0.54
Anxiety
Intervention
23
Control
25
p = 0.38
Stress
Intervention
23
Control
25
p = 0.04
Brown 2006 [71] UK 6-week Serious mental illness 18–65 85.7% women 17 health promotion sessions 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Unclear Low Unclear Low Low Unclear Depression
Intervention
7
Control
10
p = 0.080
Anxiety
Intervention
7
Control
10
p = 0.190
Gallagher 2014 [144] Australia 16-week overweight with
heart disease and diabetes
63.2 ± 8.69 40% women 147 Group-based lifestyle intervention 1-Depression
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Low Unclear Unclear Unclear Low Unclear Intervention
75
Control
58
p = 0.014
Gaudel 2021 [145] Nepal 1-month coronary artery disease >18 24.1% women 224 lifestyle-related risk factor modification intervention 1-Stress Higher scorer indicating more mental problems 1-Perceived Stress Scale-10 Low Unclear High Unclear Unclear Unclear Intervention
98
Control
98
p = 0.000
Goracci 2016 [146] Italy 12-month Recurrent depression >18 80% women 160 lifestyle intervention 1-Depression Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
Unclear Unclear Unclear Unclear Low Unclear Intervention
81
Control
79
p = 0.29
Islam 2013 [97] USA 6-month at
risk for diabetes
18–75 64.3% women 35 Healthy Lifestyles 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
2-Generalized Anxiety Disorder Scale
Unclear Unclear Unclear Unclear Unclear Unclear Depression
Intervention
21
Control
14
p = 0.43
Anxiety
Intervention
21
Control
14
p = 0.15
Jiskoot 2020 [147] The Netherlands 12-month Polycystic Ovary Syndrome 18–38 Women 120 lifestyle intervention 1-Depression Higher scorer indicating more mental problems 1-Beck Depression Inventory-II Low Unclear Unclear Unclear Low Unclear Intervention
60
Control
60
p = 0.045
Jørstad 2016 [99] the
Netherlands
12-month Acute
coronary syndrome
18–80 22.5% women 120 nurse-coordinated prevention
programme
1-Depression Higher scorer indicating more mental problems 1-Beck Depression Inventory-II Low Unclear Unclear Unclear Unclear Unclear Intervention
54
Control
66
p = 0.03
Kokka 2019 [104] Greece 8-week Intimate Partner
Violence
18–70 Women 60 stress
management program
1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Depression anxiety and stress scale Low Unclean High High Low Low Depression
Intervention
30
Control
30
p = 0.000
Anxiety
Intervention
30
Control
30
p = 0.000
Stress
Intervention
30
Control
30
p = 0.000
Lorig 2009 [148] USA 6-month type 2 diabetes 24–93 Both %Women is unknown 294 Peer-Led Diabetes Self-management 1-Depression Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
Low Unclean High Unclean Low Unclear Intervention
161
Control
133
p = 0.000
Lovell 2014 [149] UK 6-month
12-month
psychosis 16–35 40% women 105 Healthy Living
Intervention
1-Depression Higher scorer indicating more mental problems 1-Calgary Depression Scale. Low Unclean High Low Low Unclear 6-month
Intervention
46
Control
39
p = 0.98
12-month
Intervention
48
Control
42
p = 0.65
Mitchell 2014 [160] UK 6-month chronic obstructive pulmonary
disease
69 ± 8.0 in intervention
69 ± 10.1 in control
45.1% women 184 self-management programme 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Low Low High Low Low Unclear Depression
Intervention
89
Control
95
p = 0.27
Anxiety
Intervention
89
Control
95
p = 0.04
Pelekasis 2016 [150] Greece 8-week Breast
Cancer
18–75 Women 61 stress management 1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Depression anxiety and stress scale Low Unclear Unclear Unclear Low Unclear Depression
Intervention
25
Control
28
p = 0.01
Anxiety
Intervention
25
Control
28
p = 0.005
Stress
Intervention
25
Control
28
p = 0.002
Przybylko 2021 [151] Australia and New Zealand 12-week
24-week
General population 46.97 ± 14.5 69.9% women 320 Online
interdisciplinary intervention
1-Depression
2-Anxiety
3-Stress
Higher scorer indicating more mental problems 1-Depression anxiety and stress scale Low Unclean High High Low Unclear Depression
12-week
Intervention
159
Control
162
p = 0.002
24-week
Intervention
159
Control
162
p = 0.005
Anxiety
12-week
Intervention
159
Control
162
p = 0.000
24-week
Intervention
159
Control
162
p = 0.035
Stress
12-week
Intervention
159
Control
162
p = 0.001
24-week
Intervention
159
Control
162
p = 0.000
Rosal 2005 [152] USA 3-month
6-month
type 2 diabetes 45–82 80% women 25 Diabetes Self-Management 1-Depression Higher scorer indicating more mental problems 1- Center for Epidemiologic Studies Depression Scale Unclear Unclear Unclear Unclear Unclear Unclear 3-month
Intervention
15
Control
10
p < 0.05
6-month
Intervention
15
Control
10
p = 0.01
Ruusunen 2012 [153] Finland Unknown overweight or obese/glucose tolerance 40–64 57.9% women 140 lifestyle intervention 1-Depression Higher scorer indicating more mental problems 1-Beck Depression Inventory Unclear Unclear Unclear Unclear Unclear Unclear Intervention
69
Control
71
p = 0.965
Samuel-hodge 2017 [154] USA 20-week overweight or
obesity and type 2 diabetes
21–75 81% women 108 Lifestyle Support 1-Depression Higher scorer indicating more mental problems 1-Patient Health
Questionnaire
Unclear Unclear High Low Unclear Unclear Intervention
34
Control
16
p = 0.01
Skrinar 2005 [155] USA 12-week Serious Psychiatric
Disabilities
18–55 Unknown 20 healthy lifestyle 1-Depression
2-Anxiety
Higher scorer indicating more mental problems Symptom
Check List-90 (SCL-90)
Unclear Unclear Unclear Unclear Unclear Unclear Depression
Intervention
9
Control
11
p = 0.09
Anxiety
Intervention
9
Control
11
p = 0.59
Surkan 2012 [156] USA Unknown Postpartum 18–44 Women 403 Health Promotion Intervention 1-Depression Higher scorer indicating more mental problems 1- Center for Epidemiologic Studies Depression Scale Unclear Unclear Unclear Unclear Low Unclear Intervention
203
Control
200
p = 0.046
Ye 2016 [157] China 2-month
6-month
12-month
Breast cancer Unknown Women 204 mentor-based program 1-Depression
2-Anxiety
Higher scorer indicating more mental problems 1-Hospital
anxiety and depression scale
Unclear Unclear Unclear Unclear Unclear Unclear Depression
2-month
Intervention
99
Control
101
p = 0.0019
6-month
Intervention
95
Control
92
p = 0.000
12-month
Intervention
90
Control
81
p = 0.000
Anxiety
2-month
Intervention
100
Control
102
p = 0.0485
6-month
Intervention
96
Control
91
p = 0.000
12-month
Intervention
91
Control
79
p = 0.000

* calculated by author(s).

3.2. Quality Assessment of Studies

A qualitative evaluation of the eligible studies was conducted, based on the results of the qualitative evaluation listed in Table 1.

3.3. Lifestyle Intervention and Depression

A meta-analysis of 89 randomized clinical trials of lifestyle interventions on depression indicated that lifestyle interventions lead to a reduction in depression, according to which Hedges’s g was equal to −0.21 with 95% confidence interval −0.26, −0.15 (Z = −7.12; p < 0.001; I2 = 56.57) (not shown in the figure).

3.4. Sub-Group Analysis for Lifestyle Intervention and Depression

Table 2 shows the results of the meta-analysis of lifestyle interventions for depression across different populations. In the cancer population, lifestyle interventions led to a reduction in depression (Hedges’s g = −0.34; 95% CI −0.59, −0.08 [Z = −2.54; p = 0.011; I2 = 56.23%]). In the depressed population, lifestyle interventions led to a reduction in depression [Hedges’ g = −0.44; 95% CI −0.62, −0.26; Z = −4.82; p < 0.001; I2 = 40.46%). In the diabetes/at-risk diabetes population, lifestyle interventions led to a reduction in depression [Hedges’ g = −0.15; 95% CI −0.27, −0.03 (Z = −2.43; p = 0.015; I2 = 56.51%). In the heart-related disease population, lifestyle interventions led to a reduction in depression (Hedges’s g = −0.19; 95% CI −0.34, −0.04 [Z = −2.44; p = 0.015; I2 = 39.52%]). In the metabolic syndrome population, lifestyle interventions led to a reduction in depression [Hedges’ g = −0.74; 95% CI −1.27, −0.21 (Z = −2.44; p = 0.006; I2 = 69.66%). In obstructive pulmonary disease, older adults, and the overweight/obese population, lifestyle interventions did not affect depression significantly.

Table 2.

Lifestyle intervention on depression based on diseases.

Number of Studies Disease Hedges’s g Lower Limit Upper Limit Z Value p I 2
7 Cancer −0.34 −0.59 −0.08 −2.54 0.011 56.23%
10 Depression −0.44 −0.62 −0.26 −4.82 0.000 40.46%
18 Diabetes/at risk of diabetes −0.15 −0.27 −0.03 −2.43 0.015 56.51%
8 Heart-related disease −0.19 −0.34 −0.04 −2.44 0.015 39.52%
6 Other mental disorders −0.01 −0.17 0.15 −0.11 0.914 0%
2 Metabolic syndrome −0.74 −1.27 −0.21 −2.76 0.006 69.66%
3 obstructive pulmonary
disease
−0.14 −0.33 0.05 −1.44 0.151 0%
4 Older adults −0.09 −0.23 0.05 −1.27 0.204 0%
4 Overweight/obesity 0.03 −0.19 0.24 0.25 0.802 53.18

Figure 2 shows the meta-analysis of lifestyle interventions on depression in women. In this case, lifestyle interventions led to a reduction in depression (Hedges’s g = −0.27; 95% CI −0.39, −0.14; Z = −4.17; p < 0.001; I2 = 75.25%). Owing to the insufficient number of studies, a similar meta-analysis for the male population could not be procured.

Figure 2.

Figure 2

Forest plot for lifestyle intervention on depression in women [66,70,76,81,85,94,101,102,104,109,120,121,124,125,128,133,137,138,147,150,156,157].

Table 3 shows the meta-analysis of lifestyle interventions on depression based on depression scales. Lifestyle interventions on depression in the Beck Depression Inventory (BDI) indicated a reduction in depression post-intervention [Hedges’ g = −0.26; 95% CI −0.45, −0.07; Z = −2.62; p = 0.009; I2 = 73.07%). Lifestyle interventions on depression in the Center for Epidemiologic Studies Depression Scale (CES-D) showed that lifestyle interventions led to a reduction in depression [Hedges’ g = −0.23; 95% CI −0.32, −0.14 (Z = −4.97; p < 0.001; I2 = 49.69%). Lifestyle interventions on depression in the Hospital Anxiety and Depression Scale (HADS) showed that lifestyle interventions led to a reduction in depression [Hedges’ g = −0.25; 95% CI −0.35, −0.14; Z = −4.62; p < 0.001; I2 = 30.95%). Lifestyle interventions on depression in the Patient Health Questionnaire (PHQ) showed that lifestyle interventions led to a reduction in depression [Hedges’s g = −0.16; 95% CI −0.28, −0.05 (Z = −2.76; p = 0.006; I2 = 49.46%).

Table 3.

Lifestyle intervention on depression based on depression scales.

Number of Studies Scale Hedges’s g Lower Limit Upper Limit Z Value p I 2
15 Beck Depression Inventory −0.26 −0.45 −0.07 −2.62 0.009 73.07%
12 Center for Epidemiologic Studies Depression Scale −0.23 −0.32 −0.14 −4.97 0.000 12.53%
14 Depression anxiety and stress scale −0.15 −0.31 0.02 −1.76 0.078 49.69
4 Edinburgh Postnatal Depression Scale −0.23 −0.58 0.13 −1.23 0.217 89.06%
3 Geriatric Depression Scale −0.31 −0.71 0.10 −1.49 0.136 60.71%
19 Hospital
anxiety and depression scale
−0.25 −0.35 −0.14 −4.62 0.000 30.95%
16 Patient Health
Questionnaire
−0.16 −0.28 −0.05 −2.76 0.006 49.46%

3.5. Lifestyle Intervention and Anxiety

A meta-analysis of 47 randomized clinical trials of lifestyle interventions on anxiety showed that lifestyle interventions led to a reduction in anxiety, according to which Hedges’s g was equal to −0.24 with a 95% confidence interval of −0.32, −0.15 (Z = −5.54; p < 0.001; I2 = 59.25) (Figure 3).

Figure 3.

Figure 3

Forest plot of lifestyle intervention on anxiety [65,66,68,71,75,79,80,81,82,83,85,89,90,92,94,96,97,98,102,103,104,107,108,109,110,112,113,117,118,122,124,127,128,129,135,136,138,142,143,150,151,155,157,158,159,160].

3.6. Sub-Group Analysis Lifestyle Intervention and Anxiety

Figure 4 shows the meta-analysis of lifestyle interventions for anxiety based on different populations. Lifestyle interventions on anxiety in the cancer population showed that they led to a reduction in anxiety (Hedges’s g = −0.32; 95% CI −0.58, −0.06; Z = −2.42; p = 0.015; I2 = 47.10%). Lifestyle interventions for anxiety in the heart-related disease population showed that lifestyle interventions led to a reduction in anxiety [Hedges’s g = −0.26; 95% CI −0.43, −0.10; Z = −3.17; p = 0.002; I2 = 30.52%]. Lifestyle interventions on anxiety in other mental disorder populations showed that they led to a reduction in anxiety (Hedges’s g = −0.35; 95% CI −0.64, −0.07; Z = −2.46; p = 0.014; I2 = 0%). Lifestyle interventions on anxiety in the stroke population reduced anxiety (Hedges’s g = −0.29; 95% CI −0.52, −0.06; Z = −2.42; p = 0.015; I2 = 0%). Lifestyle interventions for anxiety in depressed, diabetic, overweight/obese, and obstructive pulmonary disease populations showed that their effects on anxiety were not significant.

Figure 4.

Figure 4

Forest plot for lifestyle intervention on anxiety based on diseases [66,68,71,80,81,82,83,90,93,94,96,97,98,102,107,108,109,113,118,122,128,129,135,136,143,150,155,157,158,160].

Figure 5 shows the meta-analysis of lifestyle interventions for anxiety among women. Lifestyle interventions for anxiety in women led to reduced anxiety (Hedges’ g = −0.29; 95% CI −0.47, −0.10; Z = −3.04; p = 0.002; I2 = 72.86%). Owing to the insufficient number of studies, a similar meta-analysis for the male population could not be accomplished.

Figure 5.

Figure 5

Forest plot for lifestyle intervention on anxiety in women [66,81,85,94,102,104,109,124,128,138,150,157].

Figure 6 shows a meta-analysis of lifestyle interventions for anxiety based on anxiety scales. Lifestyle interventions on anxiety in the Brief Symptom Inventory (BSI) showed that lifestyle interventions led to a reduction in anxiety (Hedges’s g = −0.27; 95% CI −0.48, −0.06; Z = −2.52; p = 0.012; I2 = 0%). Lifestyle interventions for anxiety in the DASS showed a reduction in anxiety [Hedges’ g = −0.23; 95% CI −0.42, −0.05 (Z = −2.46; p = 0.014; I2 = 59.86%). Lifestyle interventions on anxiety in Generalized anxiety disorder (GAD) showed a reduction in anxiety (Hedges’s g = −0.47; 95% CI −0.76, −0.18; Z = −3.15; p = 0.000; I2 = 43.36%). Lifestyle interventions for anxiety in the HADS showed a reduction in anxiety (Hedges’ g = −0.25; 95% CI −0.34, −0.15; Z = −5.13; p = 0.001; I2 = 8.37%). Lifestyle interventions on anxiety in the SCL−90 showed a reduction in anxiety (Hedges’s g = −0.42; 95% CI −0.77, −0.07; Z = −2.34; p = 0.019; I2 = 0%). Lifestyle interventions for anxiety were not significant in the STAI group.

Figure 6.

Figure 6

Forest plot for lifestyle intervention on anxiety based on anxiety scales [65,68,71,75,79,80,81,82,83,85,89,90,92,93,94,97,98,102,103,104,107,108,109,112,117,118,122,127,128,129,135,136,138,143,150,155,157,158,159,160].

3.7. Lifestyle Intervention and Stress

A meta-analysis of 27 randomized clinical trials of lifestyle interventions on stress showed a reduction in stress, according to which Hedges’ g was equal to −0.22 with a 95% confidence interval −0.34, −0.11 (Z = −3.80; p < 0.001; I2 = 61.40) (Figure 7).

Figure 7.

Figure 7

Forest plot for lifestyle intervention on stress [65,68,69,82,85,87,92,94,96,103,104,109,112,113,117,119,121,122,125,128,130,133,142,145,150,151,161].

Figure 8 shows a meta-analysis of lifestyle interventions on stress based on different populations. Lifestyle interventions for stress in depressed populations showed a reduction in stress [Hedges’ g = −0.63; 95% CI −0.96, −0.31; Z = −3.79; p < 0.001; I2 = 0%). Lifestyle interventions for stress in the heart-related disease population showed a reduction in stress [Hedges’s g = −0.41; 95% CI −0.64, −0.18; Z = −3.50; p < 0.001; I2 = 0%). Lifestyle interventions for stress in cancer, diabetes, and overweight/obese populations showed that the effects of lifestyle interventions on stress were not significant.

Figure 8.

Figure 8

Forest plot for lifestyle intervention on stress based on diseases [68,69,82,94,96,113,119,122,125,128,133,145,150].

Figure 9 shows a meta-analysis of lifestyle interventions for stress in women. Lifestyle interventions on stress in women showed a reduction in stress [Hedges’ g = −0.20; 95% CI −0.37, −0.03 (Z = −2.25; p = 0.024; I2 = 64.27%). Owing to the insufficient number of studies, a similar meta-analysis on the male population could not be performed.

Figure 9.

Figure 9

Forest plot for lifestyle intervention on stress in women [85,87,94,103,109,121,125,128,133,138,150].

Figure 10 shows the meta-analysis of lifestyle interventions for stress based on the stress scales. Lifestyle interventions for stress in the DASS showed a reduction in stress [Hedges’ g = −0.31; 95% CI −0.51, −0.10; Z = −2.96 2; p = 0.003; I2 = 59.42%). Lifestyle interventions on stress in the Perceived Stress Scale (PSS) showed a reduction in stress (Hedges’ g = −0.17; 95% CI −0.31, −0.03; Z = −2.45; p = 0.014; I2 = 60.77%]).

Figure 10.

Figure 10

Forest plot for lifestyle intervention on stress based on stress scales [65,68,69,82,85,87,94,96,103,109,112,113,117,119,121,122,125,128,130,133,138,142,144,145,147,150,151].

3.8. Publication Bias and Heterogeneity

In a meta-analysis of lifestyle interventions on depression, the Q test showed 202.62 (d.f. 88; p < 0.001), and I2 was 56.57%, and showed moderate heterogeneity [59]. The funnel plot in Figure 11 showed that there is a publication bias. Egger’s test indicated p < 0.001 and showed publication bias. The trim-and-fill imputed 14 studies, and the adjusted Hedges’ g was equal to −0.14 with 95% confidence intervals −0.20, −0.08 [64].

Figure 11.

Figure 11

Funnel plot for lifestyle intervention and depression.

In a meta-analysis of lifestyle interventions on anxiety, the Q test showed 112.89 (d.f 47; p < 0.001), and I2 was 59.25%, and showed moderate heterogeneity [59]. The funnel plot in Figure 12 indicates the publication bias. Egger’s test was p = 0.002 and showed publication bias; the trim-and-fill imputed four studies, and Hedges’ g was equal to −0.20 with a 95% confidence interval of −0.29, −0.12 [64].

Figure 12.

Figure 12

Funnel plot for lifestyle intervention and anxiety.

In a meta-analysis of lifestyle interventions on stress, the Q test showed 67.27 (d.f 26; p < 0.001), and I2 was 61.40%, and showed substantial heterogeneity [59]. The funnel plot in Figure 13 shows no publication bias. The Egger’s test scored p = 0.139 and did not show publication bias; the trim-and-fill test [64] did not impute any study.

Figure 13.

Figure 13

Funnel plot for lifestyle intervention and stress.

4. Discussion

This systematic review and meta-analysis investigated the effects of lifestyle interventions on depression, anxiety, and stress in randomized clinical trials. This study included 96 eligible clinical trials to address research gaps noted in previous meta-analyses.

The results showed that lifestyle interventions led to improvements in depression, anxiety, and stress levels. This means that as people adopt a healthy lifestyle, their mental health improves. The finding related to the effect of lifestyle intervention on depression and anxiety is consistent with studies that have shown this effect [39,40], with the difference that the scope of the current study was much wider, and it was also methodologically strong because previous meta-analysis studies sometimes included clinical trials without a control group, or they combined an individual randomized clinical trial with a cluster. They also used non-parametric statistics, which can reduce the accuracy of the results, and all these factors can lead to weakness. A previous meta-analysis also showed a large effect size for the effect of lifestyle interventions on anxiety; however, that study was limited by the small number of studies included in the meta-analysis and the study population of overweight and obese women [161]. Unlike these previous analyses, our study systematically reviewed and meta-analyzed the impact of stress, which is a novel contribution to this field.

Our findings revealed that lifestyle interventions significantly reduced stress, with pronounced effects in individuals with depression, heart disease, and in women. The considerable role of stress in overall health has driven researchers to explore stress reduction methods over the past decade [162,163,164]. The results showed that lifestyle changes, such as exercise, diet, and improved sleep quality, can effectively reduce stress by lowering cortisol and increasing endorphin levels. Furthermore, the findings suggest that psychological factors, such as increased mindfulness and interoceptive awareness, may mediate these benefits [162,165]. Furthermore, stress and sleep quality are interrelated, and each affects the other in a bidirectional manner [166,167]. Moreover, sleep quality affects stress, and is also affected by stress, forming a vicious loop [168]. Similarly, while a healthy diet seems to reduce stress levels, higher levels of stress have been found to negatively impact diet quality [169]. In such cases, where a causes b, but also b causes a, it is important to target elements of the cycle that can be easier to break, which in such cases may be lifestyle changes rather than stress reductions. Additionally, among the three variables explored in this study (stress, depression, and anxiety), the effect size for lifestyle interventions was the highest for stress, suggesting a more pronounced effect. This further indicates the significance of the findings presented in this study, as stress has a direct impact on human health and influences epigenetic regulation [170]. Despite these negative effects, greater public awareness is required to highlight these direct links [171].

While previous reviews analyzing lifestyle interventions and depression have reported small and moderate effect sizes [43,172], the current review adds to the literature by confirming a modest effect size. In the current study, the effect of lifestyle interventions on depression was significant for individuals with depression, heart-related diseases, diabetes/at-risk diabetes, cancer, and metabolic syndrome, and for women. Interventions, such as healthy eating, increased physical activity, and exercise, have been found to have positive effects. A recent systematic review concluded that even low amounts of physical activity in a week can reduce the risk of developing depression by up to 18% compared to no activity [173].

Interventions based on a healthy lifestyle can affect mental health and reduce depression, anxiety, and stress through several mechanisms. One mechanism for the impact of lifestyle interventions on depression, anxiety, and stress involves neural mechanisms [174]. Physiological factors mediating the effects of physical activity and depression have been well studied, with findings that the effects of physical activity (as a lifestyle component) and antidepressant drugs on the relief of depression can occur through common neuro-molecular mechanisms [175,176] by increasing serotonin and norepinephrine, regulating the hypothalamus–pituitary–adrenal axis, and reducing systemic inflammatory signaling [177,178,179,180]. For anxiety and stress relief, studies have also shown similar neural mechanisms [181,182,183]. which helps reduce anxiety and stress. Healthy nutrition is another lifestyle mechanism that improves mental health [184]. For example, eating foods rich in carbohydrates can lead to diabetes and obesity [185] and. as studies have widely shown, obesity and diabetes are two important risk factors for depression, anxiety, and stress and lead to the deterioration of mental health [24,25,186,187,188,189]. Physiological mediating factors have also been explored to understand the role of a healthy diet in depression and overall affect, with some indications that the microbiome–gut–brain axis may be at its heart [187].

Anxiety: Similar to the findings regarding stress and depression, this study also found that physical activity, nutrition, and psychoeducation improved anxiety. The association between lifestyle interventions and reduced anxiety was prominent among patients with cancer, heart-related diseases, mental disorders, and women. With regard to the effect of physical activity on anxiety and stress relief, studies have also shown similar neural mechanisms [170,171,172], which help reduce anxiety and stress, as reported above. A healthy diet can positively affect anxiety through various mechanisms. These include the role of antioxidants, omega-3 fatty acids, zinc, probiotics, magnesium, and selenium in reducing the symptoms of anxiety disorders (citation). In the case of insufficient antioxidants, for example, oxidative stress has been linked to anxiety through pathways such as alterations in neurotransmission and neuronal function (citation). Moreover, an unhealthy diet can cause depression and anxiety by increasing blood glucose and glycemic load. It has been shown in animal studies that this concentration of high dietary glycemic load “leads to a decrease in plasma glucose to concentrations that trigger the secretion of autonomic counter-regulatory hormones, such as cortisol, adrenaline, growth hormone, and glucagon” [173,174,179]. Therefore, the effectiveness of lifestyle interventions on mental health based on the intensity and type of lifestyle can differ. In the studies included in this meta-analysis, there were differences in the lifestyle methods used, which affected the results of each study. Compared to other mental health interventions, lifestyle-based interventions may not be effective alone in improving mental health problems. Moreover, the effects of lifestyle interventions may not be achieved quickly, and therefore, other treatments, such as psychological and medicinal, also need to be considered. The effectiveness of lifestyle interventions on mental health is known [190], but how the costs and other aspects of this type of intervention compared to other psychological and pharmaceutical treatments compares need comparative study in the future.

Another significant finding was the effect of lifestyle interventions on depression, anxiety, and stress in women, confirming improvements across all three mental health domains. This study also revealed that the effectiveness of lifestyle interventions varied according to the scales used for assessment, with some yielding more significant results than others. Furthermore, the outcomes differed according to the patient population. For instance, depression showed a greater improvement among patients with metabolic disorders, or depression and cancer, whereas anxiety improved the most among those with depression and heart disease. These findings advocate lifestyle interventions as a component of comprehensive mental health care and highlight the need for public education on the connection between lifestyle and mental well-being.

Strengths and Limitations

This study comprehensively reviewed common mental disorders, such as depression, anxiety, and stress, simultaneously in a systematic review and meta-analysis. In previous meta-analyses, different populations were not investigated. However, this distinction was made in this meta-analysis. This is because each population suffers from different diseases that can alter the effects of lifestyle interventions. Investigating gender differences was the study’s focus, and it was able to report results based on women separately; however, owing to the lack of studies, this review could not be performed for men. In addition, this study examined depression, anxiety, and stress based on different scales, which are the most important strengths of this meta-analysis. There are some limitations. These studies have primarily examined the effect of lifestyle interventions on depression and anxiety symptoms but not on depression and anxiety disorders, except for a few cases. Therefore, the generalization of the results to depression, anxiety, and stress disorders is limited. Each clinical trial on lifestyle has used different protocols and, although they have several commonalities, this heterogeneity might also impact the results. Variability in intervention types, such as the nature and intensity of lifestyle modifications, may affect the comparability of results across studies. Furthermore, the use of diverse measurement scales for mental health outcomes, although necessary for comprehensive analysis, introduces potential inconsistencies. Future studies could benefit from standardizing intervention protocols and measurement tools to enhance the comparability and robustness of their findings. Future studies should investigate the long-term impact of lifestyle interventions on mental health outcomes with an emphasis on their influence across broader demographic groups. Furthermore, analyzing subgroups, such as persons with diverse baseline mental health severities or differing socio-economic statuses, could provide more profound insights into the effectiveness and scalability of lifestyle interventions.

5. Conclusions

The findings showed the extent of the effectiveness of lifestyle-based interventions in improving mental health conditions, involving depression, anxiety, and stress. In addition, compared to other psychological and drug treatments, this type of intervention can be less expensive, healthier, and can be performed by more people. Therefore, considering and emphasizing these types of interventions can be highly beneficial and may have a long-term impact.

Appendix A

Table A1.

Keywords used for PubMed, Web of Science, Scopus, and the Cochrane Library and Scopus until August 2023.

Search Query
PubMed 34,025
#1 Lifestyle intervention [Text Word] OR Lifestyle modification [Text Word] OR Lifestyle training [Text Word] OR Life Style [Mesh] OR Life Style [Text Word] OR Healthy Lifestyle [Mesh] OR Healthy Lifestyle [Text Word] OR Lifestyle change [Text Word] OR lifestyle behaviors [Text Word] OR Healthy Lifestyle Behaviors [Text Word]
#2 Agoraphobia [Mesh] OR Agoraphobia [Text Word] OR Neurotic Disorders [Mesh] OR Neurotic Disorders [Text Word] OR Obsessive-Compulsive Disorder [Mesh] OR Obsessive-Compulsive Disorder [Text Word] OR Hoarding Disorder [Mesh] OR Hoarding Disorder [Text Word] OR Phobic Disorders [Mesh] OR Phobic Disorders [Text Word] OR Social Phobia [Mesh] OR Social Phobia [Text Word] OR generalized anxiety disorder [Mesh] OR generalized anxiety disorder [Text Word] OR post-traumatic stress disorder [Mesh] OR post-traumatic stress disorder [Text Word] OR phobia [Mesh] OR phobia [Text Word] OR specific phobia [Mesh] OR specific phobia [Text Word] OR Panic Disorder [Mesh] OR Panic Disorder [Text Word] OR Obsessive-Compulsive [Mesh] OR Obsessive-Compulsive [Text Word] OR Neurosis [Mesh] OR Neurosis [Text Word] OR Obsessive-Compulsive Neurosis [Mesh] OR Obsessive-Compulsive Neurosis [Text Word] OR GAD [Mesh] OR GAD [Text Word] OR PTSD [Mesh] OR PTSD [Text Word] OR fear [Mesh] OR fear [Text Word] OR Panic [Mesh] OR panic [Text Word] OR anxiety [Mesh] OR anxiety [Text Word] OR Post-Traumatic [Mesh] OR Post Traumatic [Text Word] OR mental disorders [Mesh] OR mental disorders [Text Word] OR Stress [Mesh] OR Stress [Text Word] OR psychiatric disorders [Mesh] OR psychiatric disorders [Text Word] OR Mental illness [Mesh] OR Mental illness [Text Word] OR Depression [Mesh] OR Depression [Text Word] OR Depressive Symptom [Text Word] OR Depressive Disorders [Mesh] OR Depressive Disorders [Text Word] OR Depressive Syndrome [Text Word] OR Depressive Disorder, Major [Mesh] OR Depressive Disorder, Major [Text Word] OR Mood Disorders [Mesh] OR Mood Disorders [Text Word] OR Affective Disorders [Text Word] OR Common mental disorders [Text Word] OR Stress Disorders [Mesh] OR Stress Disorders [Text Word] OR Acute Stress Disorder [Text Word] OR Stress [Text Word] OR Stress, Physiological [Mesh] OR Stress, Physiological [Text Word] OR tension [Text Word]
Final #1 AND #2
Scopus 24,470
#1 “Lifestyle intervention” OR “Lifestyle modification” OR “Lifestyle training” OR “Life Style” OR “Healthy Lifestyle” OR “Lifestyle change” OR “lifestyle behaviors” OR “Healthy Lifestyle Behaviors”
#2 “Agoraphobia” OR “Anxiety Separation” OR “Neurotic Disorders” OR “Obsessive-Compulsive Disorder” OR “Hoarding Disorder” OR “Phobic Disorders” OR “Social Phobia” OR “generalized anxiety disorder” OR “post-traumatic stress disorder” OR “phobia” OR “specific phobia” OR “Panic Disorder” OR “Obsessive-Compulsive” OR “Neurosis” OR “Obsessive-Compulsive Neurosis” OR “GAD” OR “PTSD” OR “fear” OR “panic” OR “anxiety” OR “Post-Traumatic” OR” mental disorders” OR “Stress” OR “psychiatric disorders” OR “Mental illness” OR “Depression” OR “Depressive Symptom” OR “Depressive Disorders” OR “Depressive Syndrome” OR “Depressive Disorder, Major” OR “Mood Disorders” OR “Affective Disorders” OR “ Common mental disorders” OR “Stress Disorders” OR “Acute Stress Disorder” OR “Stress” OR “Stress, Physiological” OR “Stress, Physiological” OR “Tension”
Final #1 AND #2
Web of Science 26,395
#1 TS = (Lifestyle intervention OR Lifestyle modification OR Lifestyle training OR Life Style OR Healthy Lifestyle OR Lifestyle change OR lifestyle behaviors OR Healthy Lifestyle Behaviors)
#2 TS = (Agoraphobia OR Anxiety Separation OR Neurotic Disorders OR Obsessive-Compulsive Disorder OR Hoarding Disorder OR Phobic Disorders OR Social Phobia OR generalized anxiety disorder OR post-traumatic stress disorder OR phobia OR specific phobia OR Panic Disorder OR Obsessive-Compulsive OR Neurosis OR Obsessive-Compulsive Neurosis OR GAD OR PTSD OR fear OR panic OR anxiety OR Post-Traumatic OR mental disorders OR Stress OR psychiatric disorders OR Mental illness OR Depression OR Depressive Symptom OR Depressive Disorders OR Depressive Syndrome OR Depressive Disorder, Major OR Mood Disorders OR Affective Disorders OR Common mental disorders OR Stress Disorders OR Acute Stress Disorder OR Stress OR Stress, Physiological OR Stress, Physiological OR Tension)
Final #1 AND #2
the Cochrane Library 5673
#1 Lifestyle intervention OR Lifestyle modification OR Lifestyle training OR Life Style OR Healthy Lifestyle OR Lifestyle change OR lifestyle behaviors OR Healthy Lifestyle Behaviors
#2 Agoraphobia OR Anxiety Separation OR Neurotic Disorders OR Obsessive-Compulsive Disorder OR Hoarding Disorder OR Phobic Disorders OR Social Phobia OR generalized anxiety disorder OR post-traumatic stress disorder OR phobia OR specific phobia OR Panic Disorder OR Obsessive-Compulsive OR Neurosis OR Obsessive-Compulsive Neurosis OR GAD OR PTSD OR fear OR panic OR anxiety OR Post-Traumatic OR mental disorders OR Stress OR psychiatric disorders OR Mental illness OR Depression OR Depressive Symptom OR Depressive Disorders OR Depressive Syndrome OR Depressive Disorder, Major OR Mood Disorders OR Affective Disorders OR Common mental disorders OR Stress Disorders OR Acute Stress Disorder OR Stress OR Stress, Physiological OR Stress, Physiological OR Tension
Final #1 AND #2

Author Contributions

Conceptualization, S.A. and M.A.K. methodology, S.A. and M.A.K. software, S.A. validation, S.A., N.M., S.F.J. and M.A.K.; formal analysis, S.A. investigation, S.A., N.M., S.F.J. and M.A.K.; resources, S.A., S.F.J. and M.A.K.; data curation, S.A., S.F.J. and M.A.K.; writing—original draft preparation, S.A., S.F.J. and M.A.K.; writing—review and editing, S.A., N.M., S.F.J. and M.A.K.; visualization, S.A. and M.A.K.; supervision S.A., S.F.J. and M.A.K.; project administration, S.A., N.M., S.F.J. and M.A.K.; funding acquisition, S.F.J. and M.A.K. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data sharing is not applicable. No new data were created or analyzed in this study.

Conflicts of Interest

The authors declare no conflicts of interest.

Funding Statement

This research received no external funding.

Footnotes

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

References

  • 1.Santomauro D.F., Herrera A.M., Shadid J., Zheng P., Ashbaugh C., Pigott D.M., Abbafati C. Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. Lancet. 2021;398:1700–1712. doi: 10.1016/S0140-6736(21)02143-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.GBD 2019 Mental Disorders Collaborators Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry. 2022;9:137–150. doi: 10.1016/S2215-0366(21)00395-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.GBD 2019 Diseases and Injuries Collaborators Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396:1204–1222. doi: 10.1016/S0140-6736(20)30925-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Fang Y., Ji B., Liu Y., Zhang J., Liu Q., Ge Y., Xie Y., Liu C. The prevalence of psychological stress in student populations during the COVID-19 epidemic: A systematic review and meta-analysis. Sci. Rep. 2022;12:12118. doi: 10.1038/s41598-022-16328-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Kirkbride J.B., Anglin D.M., Colman I., Dykxhoorn J., Jones P.B., Patalay P., Pitman A., Soneson E., Steare T., Wright T., et al. The social determinants of mental health and disorder: Evidence, prevention and recommendations. World Psychiatry. 2024;23:58–90. doi: 10.1002/wps.21160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.WHO Mental Disorders. [(accessed on 8 June 2023)]. Available online: https://www.who.int/news-room/fact-sheets/detail/mental-disorders.
  • 7.GHDx—Institute of Health Metrics and Evaluation Global Health Data Exchange (GHDx) [(accessed on 14 May 2023)]. Available online: https://vizhub.healthdata.org/gbd-results.
  • 8.Matsudaira T., Kitamura T. Personality traits as risk factors of depression and anxiety among Japanese students. J. Clin. Psychol. 2006;62:97–109. doi: 10.1002/jclp.20215. [DOI] [PubMed] [Google Scholar]
  • 9.Samuelsson G., McCamish-Svensson C., Hagberg B., Sundstrom G., Dehlin O. Incidence and risk factors for depression and anxiety disorders: Results from a 34-year longitudinal Swedish cohort study. Aging Ment. Health. 2005;9:571–575. doi: 10.1080/13607860500193591. [DOI] [PubMed] [Google Scholar]
  • 10.Vink D., Aartsen M.J., Schoevers R.A. Risk factors for anxiety and depression in the elderly: A review. J. Affect. Disord. 2008;106:29–44. doi: 10.1016/j.jad.2007.06.005. [DOI] [PubMed] [Google Scholar]
  • 11.Yap M.B.H., Pilkington P.D., Ryan S.M., Jorm A.F. Parental factors associated with depression and anxiety in young people: A systematic review and meta-analysis. J. Affect. Disord. 2014;156:8–23. doi: 10.1016/j.jad.2013.11.007. [DOI] [PubMed] [Google Scholar]
  • 12.Huang C.Q., Dong B.R., Lu Z.C., Yue J.R., Liu Q.X. Chronic diseases and risk for depression in old age: A meta-analysis of published literature. Ageing Res. Rev. 2010;9:131–141. doi: 10.1016/j.arr.2009.05.005. [DOI] [PubMed] [Google Scholar]
  • 13.Rebar A.L., Stanton R., Geard D., Short C., Duncan M.J., Vandelanotte C. A meta-meta-analysis of the effect of physical activity on depression and anxiety in non-clinical adult populations. Health Psychol. Rev. 2015;9:366–378. doi: 10.1080/17437199.2015.1022901. [DOI] [PubMed] [Google Scholar]
  • 14.De Mello M.T., de Aquino Lemos V., Antunes H.K.M., Bittencourt L., Santos-Silva R., Tufik S. Relationship between physical activity and depression and anxiety symptoms: A population study. J. Affect. Disord. 2013;149:241–246. doi: 10.1016/j.jad.2013.01.035. [DOI] [PubMed] [Google Scholar]
  • 15.Martinsen E.W. Physical activity in the prevention and treatment of anxiety and depression. Nord. J. Psychiatry. 2008;62:25–29. doi: 10.1080/08039480802315640. [DOI] [PubMed] [Google Scholar]
  • 16.Dale L.P., Vanderloo L., Moore S., Faulkner G. Physical activity and depression, anxiety, and self-esteem in children and youth: An umbrella systematic review. Ment. Health Phys. Act. 2019;16:66–79. doi: 10.1016/j.mhpa.2018.12.001. [DOI] [Google Scholar]
  • 17.Erdogan Yuce G., Muz G. Effect of yoga-based physical activity on perceived stress, anxiety, and quality of life in young adults. Perspect. Psychiatr. Care. 2020;56:697–704. doi: 10.1111/ppc.12484. [DOI] [PubMed] [Google Scholar]
  • 18.Weng T.-T., Hao J.-H., Qian Q.-W., Cao H., Fu J.-L., Sun Y., Huang L., Tao F.-B. Is there any relationship between dietary patterns and depression and anxiety in Chinese adolescents? Public Health Nutr. 2011;15:673–682. doi: 10.1017/S1368980011003077. [DOI] [PubMed] [Google Scholar]
  • 19.Jacka F.N., Cherbuin N., Anstey K.J., Butterworth P. Dietary patterns and depressive symptoms over time: Examining the relationships with socioeconomic position, health behaviours and cardiovascular risk. PLoS ONE. 2014;9:e87657. doi: 10.1371/journal.pone.0087657. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Alfano C.A., Zakem A.H., Costa N.M., Taylor L.K., Weems C.F. Sleep problems and their relation to cognitive factors, anxiety, and depressive symptoms in children and adolescents. Depress. Anxiety. 2009;26:503–512. doi: 10.1002/da.20443. [DOI] [PubMed] [Google Scholar]
  • 21.Gregory A.M., Caspi A., Eley T.C., Moffitt T.E., O’Connor T.G., Poulton R. Prospective Longitudinal Associations Between Persistent Sleep Problems in Childhood and Anxiety and Depression Disorders in Adulthood. J. Abnorm. Child. Psychol. 2005;33:157–163. doi: 10.1007/s10802-005-1824-0. [DOI] [PubMed] [Google Scholar]
  • 22.Mykletun A., Overland S., Aaro L.E., Liabo H.M., Stewart R. Smoking in relation to anxiety and depression: Evidence from a large population survey: The HUNT study. Eur. Psychiatry. 2008;23:77–84. doi: 10.1016/j.eurpsy.2007.10.005. [DOI] [PubMed] [Google Scholar]
  • 23.Fluharty M., Taylor A.E., Grabski M., Munafò M.R. The association of cigarette smoking with depression and anxiety: A systematic review. Nicotine Tob. Res. 2016;19:3–13. doi: 10.1093/ntr/ntw140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Amiri S., Behnezhad S. Obesity and anxiety symptoms: A systematic review and meta-analysis. Neuropsychiatrie. 2019;33:72–89. doi: 10.1007/s40211-019-0302-9. [DOI] [PubMed] [Google Scholar]
  • 25.Luppino F.S., de Wit L.M., Bouvy P.F., Stijnen T., Cuijpers P., Penninx B.W.J.H., Zitman F.G. Overweight, obesity, and depression: A systematic review and meta-analysis of longitudinal studies. Arch. Gen. Psychiatry. 2010;67:220–229. doi: 10.1001/archgenpsychiatry.2010.2. [DOI] [PubMed] [Google Scholar]
  • 26.McCrea R.L., Berger Y.G., King M.B. Body mass index and common mental disorders: Exploring the shape of the association and its moderation by age, gender and education. Int. J. Obes. 2012;36:414–421. doi: 10.1038/ijo.2011.65. [DOI] [PubMed] [Google Scholar]
  • 27.Farhud D.D. Impact of Lifestyle on Health. Iran. J. Public. Health. 2015;44:1442–1444. [PMC free article] [PubMed] [Google Scholar]
  • 28.Chen L., Pei J.H., Kuang J., Chen H.M., Chen Z., Li Z.W., Yang H.Z. Effect of lifestyle intervention in patients with type 2 diabetes: A meta-analysis. Metab. Clin. Exp. 2015;64:338–347. doi: 10.1016/j.metabol.2014.10.018. [DOI] [PubMed] [Google Scholar]
  • 29.Johansen M.Y., MacDonald C.S., Hansen K.B., Karstoft K., Christensen R., Pedersen M., Hansen L.S., Zacho M., Wedell-Neergaard A.-S., Nielsen S.T., et al. Effect of an intensive lifestyle intervention on glycemic control in patients with type 2 diabetes: A randomized clinical trial. JAMA. 2017;318:637–646. doi: 10.1001/jama.2017.10169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Ho M., Garnett S.P., Baur L., Burrows T., Stewart L., Neve M., Collins C. Effectiveness of lifestyle interventions in child obesity: Systematic review with meta-analysis. Pediatrics. 2012;130:e1647–e1671. doi: 10.1542/peds.2012-1176. [DOI] [PubMed] [Google Scholar]
  • 31.Galani C., Schneider H. Prevention and treatment of obesity with lifestyle interventions: Review and meta-analysis. Int. J. Public. Health. 2007;52:348–359. doi: 10.1007/s00038-007-7015-8. [DOI] [PubMed] [Google Scholar]
  • 32.Saffi M.A., Polanczyk C.A., Rabelo-Silva E.R. Lifestyle interventions reduce cardiovascular risk in patients with coronary artery disease: A randomized clinical trial. Eur. J. Cardiovasc. Nurs. 2014;13:436–443. doi: 10.1177/1474515113505396. [DOI] [PubMed] [Google Scholar]
  • 33.Demark-Wahnefried W., Rock C.L., Patrick K., Byers T. Lifestyle interventions to reduce cancer risk and improve outcomes. Am. Fam. Physician. 2008;77:1573–1578. [PubMed] [Google Scholar]
  • 34.Araghi M.H., Chen Y.F., Jagielski A., Choudhury S., Banerjee D., Hussain S., Thomas G.N., Taheri S. Effectiveness of lifestyle interventions on obstructive sleep apnea (OSA): Systematic review and meta-analysis. Sleep. 2013;36:1553–1562. doi: 10.5665/sleep.3056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Hebden L., Chey T., Allman-Farinelli M. Lifestyle intervention for preventing weight gain in young adults: A systematic review and meta-analysis of RCTs. Obes. Rev. An. Off. J. Int. Assoc. Study Obes. 2012;13:692–710. doi: 10.1111/j.1467-789X.2012.00990.x. [DOI] [PubMed] [Google Scholar]
  • 36.Drew R.J., Morgan P.J., Pollock E.R., Young M.D. Impact of male-only lifestyle interventions on men’s mental health: A systematic review and meta-analysis. Obes. Rev. 2020;21:e13014. doi: 10.1111/obr.13014. [DOI] [PubMed] [Google Scholar]
  • 37.Coventry P.A., Bower P., Keyworth C., Kenning C., Knopp J., Garrett C., Hind D., Malpass A., Dickens C. The effect of complex interventions on depression and anxiety in chronic obstructive pulmonary disease: Systematic review and meta-analysis. PLoS ONE. 2013;8:e60532. doi: 10.1371/journal.pone.0060532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Cabassa L.J., Ezell J.M., Lewis-Fernandez R. Lifestyle interventions for adults with serious mental illness: A systematic literature review. Psychiatr. Serv. 2010;61:774–782. doi: 10.1176/ps.2010.61.8.774. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Wong V.W., Ho F.Y., Shi N.K., Sarris J., Ng C.H., Tam O.K. Lifestyle medicine for anxiety symptoms: A meta-analysis of randomized controlled trials. J. Affect. Disord. 2022;310:354–368. doi: 10.1016/j.jad.2022.04.151. [DOI] [PubMed] [Google Scholar]
  • 40.Wong V.W., Ho F.Y., Shi N.K., Sarris J., Chung K.F., Yeung W.F. Lifestyle medicine for depression: A meta-analysis of randomized controlled trials. J. Affect. Disord. 2021;284:203–216. doi: 10.1016/j.jad.2021.02.012. [DOI] [PubMed] [Google Scholar]
  • 41.Bruins J., Jorg F., Bruggeman R., Slooff C., Corpeleijn E., Pijnenborg M. The effects of lifestyle interventions on (long-term) weight management, cardiometabolic risk and depressive symptoms in people with psychotic disorders: A meta-analysis. PLoS ONE. 2014;9:e112276. doi: 10.1371/journal.pone.0112276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Castro A., Roca M., Ricci-Cabello I., Garcia-Toro M., Riera-Serra P., Coronado-Simsic V., Perez-Ara M.A., Gili M. Adherence to Lifestyle Interventions for Treatment of Adults with Depression: A Systematic Review and Meta-Analysis. Int. J. Environ. Res. Public. Health. 2021;18:13268. doi: 10.3390/ijerph182413268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Gomez-Gomez I., Bellon J.A., Resurreccion D.M., Cuijpers P., Moreno-Peral P., Rigabert A., Maderuelo-Fernandez J.A., Motrico E. Effectiveness of universal multiple-risk lifestyle interventions in reducing depressive symptoms: Systematic review and meta-analysis. Prev. Med. 2020;134:106067. doi: 10.1016/j.ypmed.2020.106067. [DOI] [PubMed] [Google Scholar]
  • 44.Cezaretto A., Ferreira S.R., Sharma S., Sadeghirad B., Kolahdooz F. Impact of lifestyle interventions on depressive symptoms in individuals at-risk of, or with, type 2 diabetes mellitus: A systematic review and meta-analysis of randomized controlled trials. Nutr. Metab. Cardiovasc. Dis. 2016;26:649–662. doi: 10.1016/j.numecd.2016.04.009. [DOI] [PubMed] [Google Scholar]
  • 45.Koomen L.E.M., van der Horst M.Z., Deenik J., Cahn W. Lifestyle interventions for people with a severe mental illness living in supported housing: A systematic review and meta-analysis. Front. Psychiatry. 2022;13:966029. doi: 10.3389/fpsyt.2022.966029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Pape L.M., Adriaanse M.C., Kol J., van Straten A., van Meijel B. Patient-reported outcomes of lifestyle interventions in patients with severe mental illness: A systematic review and meta-analysis. BMC Psychiatry. 2022;22:261. doi: 10.1186/s12888-022-03854-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Yao X., Xu X., Chan K.L., Chen S., Assink M., Gao S. Associations between psychological inflexibility and mental health problems during the COVID-19 pandemic: A three-level meta-analytic review. J. Affect. Disord. 2023;320:148–160. doi: 10.1016/j.jad.2022.09.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Farhane-Medina N.Z., Luque B., Tabernero C., Castillo-Mayén R. Factors associated with gender and sex differences in anxiety prevalence and comorbidity: A systematic review. Sci. Prog. Progress. 2022;105:00368504221135469. doi: 10.1177/00368504221135469. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Hedges L.V. Effect Sizes in Cluster-Randomized Designs. J. Educ. Behav. Stat. 2007;32:341–370. doi: 10.3102/1076998606298043. [DOI] [Google Scholar]
  • 50.Higgins J.P.T. Cochrane Handbook for Systematic Reviews of Interventions Version 5.0.1. The Cochrane Collaboration; London, UK: 2008. [Google Scholar]
  • 51.Higgins J.P., Altman D.G., Gøtzsche P.C., Jüni P., Moher D., Oxman A.D., Savović J., Schulz K.F., Weeks L., Sterne J.A.J.B. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928. doi: 10.1136/bmj.d5928. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Higgins J.P., Thomas J., Chandler J., Cumpston M., Li T., Page M.J., Welch V.A. Cochrane Handbook for Systematic Reviews of Interventions. John Wiley & Sons; New York, NJ, USA: 2019. [Google Scholar]
  • 53.Borenstein M., Hedges L., Higgins J., Rothstein H.J.E. Comprehensive Meta-Analysis Version 3.3.070. BioSTAT; Addison, TX, USA: 2014. Computer software. [Google Scholar]
  • 54.Borenstein M., Hedges L.V., Higgins J.P., Rothstein H.R. Introduction to Meta-Analysis. John Wiley & Sons; New York, NJ, USA: 2009. Multiple Outcomes or Time-Points Within a Study; pp. 225–238. [Google Scholar]
  • 55.Cohen J. Statistical Power Analysis for The Behavioral Sciences. Academic Press; Cambridge, MA, USA: 2013. [Google Scholar]
  • 56.Hedges L., Olkin I. Statistical Methods in Meta-Analysis. Volume 20 Academic Press; Cambridge, MA, USA: 1985. [Google Scholar]
  • 57.Higgins J.P., Thompson S.G. Quantifying heterogeneity in a meta-analysis. Stat. Med. 2002;21:1539–1558. doi: 10.1002/sim.1186. [DOI] [PubMed] [Google Scholar]
  • 58.Ioannidis J.P., Patsopoulos N.A., Evangelou E. Uncertainty in heterogeneity estimates in meta-analyses. BMJ. 2007;335:914–916. doi: 10.1136/bmj.39343.408449.80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Tarsilla M. Cochrane handbook for systematic reviews of interventions. J. Multidiscip. Eval. 2010;6:142–148. doi: 10.56645/jmde.v6i14.284. [DOI] [Google Scholar]
  • 60.Rothstein H.R., Sutton A.J., Borenstein M. Publication Bias in Meta-Analysis, Prevention, Assessment and Adjustments. John Wiley & Sons; New York, NJ, USA: 2005. pp. 1–7. [Google Scholar]
  • 61.Borenstein M., Hedges L.V., Higgins J.P., Rothstein H.R. Introduction to Meta-Analysis. John Wiley & Sons; New York, NJ, USA: 2011. [Google Scholar]
  • 62.Begg C.B., Mazumdar M.J.B. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50:1088–1101. doi: 10.2307/2533446. [DOI] [PubMed] [Google Scholar]
  • 63.Egger M., Smith G.D., Schneider M., Minder C.J.B. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–634. doi: 10.1136/bmj.315.7109.629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Duval S., Tweedie R. Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics. 2000;56:455–463. doi: 10.1111/j.0006-341X.2000.00455.x. [DOI] [PubMed] [Google Scholar]
  • 65.Advocat J., Enticott J., Vandenberg B., Hassed C., Hester J., Russell G. The effects of a mindfulness-based lifestyle program for adults with Parkinson’s disease: A mixed methods, wait list controlled randomised control study. BMC Neurol. 2016;16:166. doi: 10.1186/s12883-016-0685-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Anderson D.J., Seib C., McCarthy A.L., Yates P., Porter-Steele J., McGuire A., Young L. Facilitating lifestyle changes to manage menopausal symptoms in women with breast cancer: A randomized controlled pilot trial of The Pink Women’s Wellness Program. Menopause. 2015;22:937–945. doi: 10.1097/GME.0000000000000421. [DOI] [PubMed] [Google Scholar]
  • 67.Azami G., Soh K.L., Sazlina S.G., Salmiah M., Aazami S., Mozafari M., Taghinejad H. Effect of a nurse-led diabetes self-management education program on glycosylated hemoglobin among adults with type 2 diabetes. J. Diabetes Res. 2018;2018:4930157. doi: 10.1155/2018/4930157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Brennan L., Wilks R., Walkley J., Fraser S.F., Greenway K. Treatment acceptability and psychosocial outcomes of a randomised controlled trial of a cognitive behavioural lifestyle intervention for overweight and obese adolescents. Behav. Chang. 2012;29:36–62. doi: 10.1017/bec.2012.5. [DOI] [PubMed] [Google Scholar]
  • 69.Bringmann H.C., Michalsen A., Jeitler M., Kessler C.S., Brinkhaus B., Brunnhuber S., Sedlmeier P. Meditation-based lifestyle modification in mild to moderate depression—A randomized controlled trial. Depress. Anxiety. 2022;39:363–375. doi: 10.1002/da.23249. [DOI] [PubMed] [Google Scholar]
  • 70.Brown M.A., Goldstein-Shirley J., Robinson J., Casey S. The effects of a multi-modal intervention trial of light, exercise, and vitamins on women’s mood. Women Health. 2001;34:93–112. doi: 10.1300/J013v34n03_06. [DOI] [PubMed] [Google Scholar]
  • 71.Brown S., Chan K. A randomized controlled trial of a brief health promotion intervention in a population with serious mental illness. J. Ment. Health. 2006;15:543–549. doi: 10.1080/09638230600902609. [DOI] [Google Scholar]
  • 72.Casañas R., Catalan R., del Val J.L., Real J., Valero S., Casas M. Effectiveness of a psycho-educational group program for major depression in primary care: A randomized controlled trial. BMC Psychiatry. 2012;12:230. doi: 10.1186/1471-244X-12-230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Cezaretto A., Siqueira-Catania A., de Barros C.R., Salvador E.P., Ferreira S.R. Benefits on quality of life concomitant to metabolic improvement in intervention program for prevention of diabetes mellitus. Qual. Life Res. 2012;21:105–113. doi: 10.1007/s11136-011-9919-2. [DOI] [PubMed] [Google Scholar]
  • 74.Chang K.J., Hong C.H., Roh H.W., Lee K.S., Lee E.H., Kim J., Lim H.K., Son S.J. A 12-Week Multi-Domain Lifestyle Modification to Reduce Depressive Symptoms in Older Adults: A Preliminary Report. Psychiatry Investig. 2018;15:279–284. doi: 10.30773/pi.2017.08.10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Charandabi S.M.-A., Mirghafourvand M., Sanaati F. The effect of life style based education on the fathers’ anxiety and depression during pregnancy and postpartum periods: A randomized controlled trial. Community Ment. Health J. 2017;53:482–489. doi: 10.1007/s10597-017-0103-1. [DOI] [PubMed] [Google Scholar]
  • 76.Chiang L.C., Heitkemper M.M., Chiang S.L., Tzeng W.C., Lee M.S., Hung Y.J., Lin C.H. Motivational Counseling to Reduce Sedentary Behaviors and Depressive Symptoms and Improve Health-Related Quality of Life Among Women with Metabolic Syndrome. J. Cardiovasc. Nurs. 2019;34:327–335. doi: 10.1097/JCN.0000000000000573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Clark F., Jackson J., Carlson M., Chou C.-P., Cherry B.J., Jordan-Marsh M., Knight B.G., Mandel D., Blanchard J., Granger D.A. Effectiveness of a lifestyle intervention in promoting the well-being of independently living older people: Results of the Well Elderly 2 Randomised Controlled Trial. J. Epidemiol. Community Health. 2012;66:782–790. doi: 10.1136/jech.2009.099754. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Croker H., Viner R.M., Nicholls D., Haroun D., Chadwick P., Edwards C., Wells J.C., Wardle J. Family-based behavioural treatment of childhood obesity in a UK National Health Service setting: Randomized controlled trial. Int. J. Obes. 2012;36:16–26. doi: 10.1038/ijo.2011.182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Desplan M., Mercier J., Sabate M., Ninot G., Prefaut C., Dauvilliers Y. A comprehensive rehabilitation program improves disease severity in patients with obstructive sleep apnea syndrome: A pilot randomized controlled study. Sleep. Med. 2014;15:906–912. doi: 10.1016/j.sleep.2013.09.023. [DOI] [PubMed] [Google Scholar]
  • 80.Devi R., Powell J., Singh S. A web-based program improves physical activity outcomes in a primary care angina population: Randomized controlled trial. J. Med. Internet Res. 2014;16:e3340. doi: 10.2196/jmir.3340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Dodd J.M., Newman A., Moran L.J., Deussen A.R., Grivell R.M., Yelland L.N., Crowther C.A., McPhee A.J., Wittert G., Owens J.A. The effect of antenatal dietary and lifestyle advice for women who are overweight or obese on emotional well-being: The LIMIT randomized trial. Acta Obstet. Et. Gynecol. Scand. 2016;95:309–318. doi: 10.1111/aogs.12832. [DOI] [PubMed] [Google Scholar]
  • 82.Forsyth A., Deane F.P., Williams P. A lifestyle intervention for primary care patients with depression and anxiety: A randomised controlled trial. Psychiatry Res. 2015;230:537–544. doi: 10.1016/j.psychres.2015.10.001. [DOI] [PubMed] [Google Scholar]
  • 83.Furuya R.K., Arantes E.C., Dessotte C.A., Ciol M.A., Hoffman J.M., Schmidt A., Dantas R.A., Rossi L.A. A randomized controlled trial of an educational programme to improve self-care in Brazilian patients following percutaneous coronary intervention. J. Adv. Nurs. 2015;71:895–908. doi: 10.1111/jan.12568. [DOI] [PubMed] [Google Scholar]
  • 84.Garcia A., Yáñez A.M., Bennasar-Veny M., Navarro C., Salva J., Ibarra O., Gomez-Juanes R., Serrano-Ripoll M.J., Oliván B., Gili M. Efficacy of an adjuvant non-face-to-face multimodal lifestyle modification program for patients with treatment-resistant major depression: A randomized controlled trial. Psychiatry Res. 2023;319:114975. doi: 10.1016/j.psychres.2022.114975. [DOI] [PubMed] [Google Scholar]
  • 85.Giallo R., Cooklin A., Dunning M., Seymour M. The efficacy of an intervention for the management of postpartum fatigue. J. Obstet. Gynecol. Neonatal Nurs. 2014;43:598–613. doi: 10.1111/1552-6909.12489. [DOI] [PubMed] [Google Scholar]
  • 86.Glasgow R.E., Nutting P.A., Toobert D.J., King D.K., Strycker L.A., Jex M., O’Neill C., Whitesides H., Merenich J. Effects of a brief computer-assisted diabetes self-management intervention on dietary, biological and quality-of-life outcomes. Chronic Illn. 2006;2:27–38. doi: 10.1177/17423953060020011001. [DOI] [PubMed] [Google Scholar]
  • 87.Guo J., Long Q., Yang J.D., Lin Q., Wiley J., Chen J.L. The Efficacy of an Intensive Lifestyle Modification Program on Psychosocial Outcomes among Rural Women with Prior Gestational Diabetes Mellitus: Six Months Follow-Up of a Randomized Controlled Trial. Int. J. Environ. Res. Public. Health. 2021;18:1519. doi: 10.3390/ijerph18041519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Han Y.M.Y., Sze S.L., Wong Q.Y., Chan A.S. A mind-body lifestyle intervention enhances emotional control in patients with major depressive disorder: A randomized, controlled study. Cogn. Affect. Behav. Neurosci. 2020;20:1056–1069. doi: 10.3758/s13415-020-00819-z. [DOI] [PubMed] [Google Scholar]
  • 89.Heutink M., Post M.W.M., Bongers-Janssen H.M.H., Dijkstra C.A., Snoek G.J., Spijkerman D.C.M., Lindeman E. The CONECSI trial: Results of a randomized controlled trial of a multidisciplinary cognitive behavioral program for coping with chronic neuropathic pain after spinal cord injury. Pain. 2012;153:120–128. doi: 10.1016/j.pain.2011.09.029. [DOI] [PubMed] [Google Scholar]
  • 90.Hilmarsdottir E., Sigurethardottir A.K., Arnardottir R.H. A Digital Lifestyle Program in Outpatient Treatment of Type 2 Diabetes: A Randomized Controlled Study. J. Diabetes Sci. Technol. 2021;15:1134–1141. doi: 10.1177/1932296820942286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Holt R.I.G., Gossage-Worrall R., Hind D., Bradburn M.J., McCrone P., Morris T., Edwardson C., Barnard K., Carey M.E., Davies M.J., et al. Structured lifestyle education for people with schizophrenia, schizoaffective disorder and first-episode psychosis (STEPWISE): Randomised controlled trial. Br. J. Psychiatry. 2019;214:63–73. doi: 10.1192/bjp.2018.167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Hwang W.J., Jo H.H. Evaluation of the effectiveness of mobile app-based stress-management program: A randomized controlled trial. Int. J. Environ. Res. Public. Health. 2019;16:4270. doi: 10.3390/ijerph16214270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Ihle-Hansen H., Thommessen B., Fagerland M.W., Øksengård A.R., Wyller T.B., Engedal K., Fure B. Effect on anxiety and depression of a multifactorial risk factor intervention program after stroke and TIA: A randomized controlled trial. Aging Ment. Health. 2014;18:540–546. doi: 10.1080/13607863.2013.824406. [DOI] [PubMed] [Google Scholar]
  • 94.Imayama I., Alfano C.M., Kong A., Foster-Schubert K.E., Bain C.E., Xiao L., Duggan C., Wang C.Y., Campbell K.L., Blackburn G.L., et al. Dietary weight loss and exercise interventions effects on quality of life in overweight/obese postmenopausal women: A randomized controlled trial. Int. J. Behav. Nutr. Phys. Act. 2011;8:118. doi: 10.1186/1479-5868-8-118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Inouye J., Matsuura C., Li D.M., Castro R., Leake A. Lifestyle Intervention for Filipino Americans at Risk for Diabetes. J. Community Health Nurs. 2014;31:225–237. doi: 10.1080/07370016.2014.926674. [DOI] [PubMed] [Google Scholar]
  • 96.Ip A.K.-Y., Ho F.Y.-Y., Yeung W.-F., Chung K.-F., Ng C.H., Oliver G., Sarris J. Effects of a group-based lifestyle medicine for depression: A pilot randomized controlled trial. PLoS ONE. 2021;16:e0258059. doi: 10.1371/journal.pone.0258059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Islam N.S., Zanowiak J.M., Wyatt L.C., Chun K., Lee L., Kwon S.C., Trinh-Shevrin C. A randomized-controlled, pilot intervention on diabetes prevention and healthy lifestyles in the New York City Korean community. J. Community Health. 2013;38:1030–1041. doi: 10.1007/s10900-013-9711-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Jonsdottir H., Amundadottir O.R., Gudmundsson G., Halldorsdottir B.S., Hrafnkelsson B., Ingadottir T.S., Jonsdottir R., Jonsson J.S., Sigurjonsdottir E.D., Stefansdottir I.K. Effectiveness of a partnership-based self-management programme for patients with mild and moderate chronic obstructive pulmonary disease: A pragmatic randomized controlled trial. J. Adv. Nurs. 2015;71:2634–2649. doi: 10.1111/jan.12728. [DOI] [PubMed] [Google Scholar]
  • 99.Jørstad H.T., Minneboo M., Helmes H.J., Fagel N.D., Scholte Op Reimer W.J., Tijssen J.G., Peters R.J. Effects of a nurse-coordinated prevention programme on health-related quality of life and depression in patients with an acute coronary syndrome: Results from the RESPONSE randomised controlled trial. BMC Cardiovasc. Disord. 2016;16:144. doi: 10.1186/s12872-016-0321-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Kelly P.J., Baker A.L., Fagan N.L., Turner A., Deane F., McKetin R., Callister R., Collins C., Ingram I., Wolstencroft K., et al. Better Health Choices: Feasability and preliminary effectiveness of a peer delivered healthy lifestyle intervention in a community mental health setting. Addict. Behav. 2020;103:106249. doi: 10.1016/j.addbeh.2019.106249. [DOI] [PubMed] [Google Scholar]
  • 101.Kieffer E.C., Caldwell C.H., Welmerink D.B., Welch K.B., Sinco B.R., Guzman J.R. Effect of the healthy MOMs lifestyle intervention on reducing depressive symptoms among pregnant Latinas. Am. J. Community Psychol. 2013;51:76–89. doi: 10.1007/s10464-012-9523-9. [DOI] [PubMed] [Google Scholar]
  • 102.Kim S.H., Shin M.S., Lee H.S., Lee E.S., Ro J.S., Kang H.S., Kim S.W., Lee W.H., Kim H.S., Kim C.J., et al. Randomized pilot test of a simultaneous stage-matched exercise and diet intervention for breast cancer survivors. Oncol. Nurs. Forum. 2011;38:E97–E106. doi: 10.1188/11.ONF.E97-E106. [DOI] [PubMed] [Google Scholar]
  • 103.Koch A.K., Schols M., Haller H., Anheyer D., Cinar Z., Eilert R., Kofink K., Engler H., Elsenbruch S., Cramer H., et al. Comprehensive Lifestyle Modification Influences Medium-Term and Artificially Induced Stress in Ulcerative Colitis-A Sub-Study within a Randomized Controlled Trial Using the Trier Social Stress Test. J. Clin. Med. 2021;10:5070. doi: 10.3390/jcm10215070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Kokka A., Mikelatou M., Fouka G., Varvogli L., Chrousos G.P., Darviri C. Stress Management and Health Promotion in a Sample of Women with Intimate Partner Violence: A Randomized Controlled Trial. J. Interpers. Violence. 2019;34:2034–2055. doi: 10.1177/0886260516658759. [DOI] [PubMed] [Google Scholar]
  • 105.Kwon S.H. Wheel of Wellness Counseling in Community Dwelling, Korean Elders: A Randomized, Controlled Trial. J. Korean Acad. Nurs. 2015;45:459–468. doi: 10.4040/jkan.2015.45.3.459. [DOI] [PubMed] [Google Scholar]
  • 106.Lee H., Yoon J.Y., Lim Y., Jung H., Kim S., Yoo Y., Kim Y., Ahn J.J., Park H.K. The effect of nurse-led problem-solving therapy on coping, self-efficacy and depressive symptoms for patients with chronic obstructive pulmonary disease: A randomised controlled trial. Age Ageing. 2015;44:397–403. doi: 10.1093/ageing/afu201. [DOI] [PubMed] [Google Scholar]
  • 107.Leemrijse C.J., Peters R.J., von Birgelen C., van Dijk L., van Hal J.M., Kuijper A.F., Snaterse M., Veenhof C. The telephone lifestyle intervention ‘Hartcoach’ has modest impact on coronary risk factors: A randomised multicentre trial. Eur. J. Prev. Cardiol. 2016;23:1658–1668. doi: 10.1177/2047487316639681. [DOI] [PubMed] [Google Scholar]
  • 108.Lund A., Michelet M., Sandvik L., Wyller T., Sveen U. A lifestyle intervention as supplement to a physical activity programme in rehabilitation after stroke: A randomized controlled trial. Clin. Rehabil. 2012;26:502–512. doi: 10.1177/0269215511429473. [DOI] [PubMed] [Google Scholar]
  • 109.Nápoles A.M., Santoyo-Olsson J., Stewart A.L., Ortiz C., Samayoa C., Torres-Nguyen A., Palomino H., Coleman L., Urias A., Gonzalez N., et al. Nuevo Amanecer-II: Results of a randomized controlled trial of a community-based participatory, peer-delivered stress management intervention for rural Latina breast cancer survivors. Psychooncology. 2020;29:1802–1814. doi: 10.1002/pon.5481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Martín J., Torre F., Aguirre U., Gonzalez N., Padierna A., Matellanes B., Quintana J.M. Evaluation of the interdisciplinary PSYMEPHY treatment on patients with fibromyalgia: A randomized control trial. Pain. Med. 2014;15:682–691. doi: 10.1111/pme.12375. [DOI] [PubMed] [Google Scholar]
  • 111.Mayer-Davis E.J., Maahs D.M., Seid M., Crandell J., Bishop F.K., Driscoll K.A., Hunter C.M., Kichler J.C., Standiford D., Thomas J.M., et al. Efficacy of the Flexible Lifestyles Empowering Change intervention on metabolic and psychosocial outcomes in adolescents with type 1 diabetes (FLEX): A randomised controlled trial. Lancet Child. Adolesc. Health. 2018;2:635–646. doi: 10.1016/S2352-4642(18)30208-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Mensorio M.S., Cebolla-Marti A., Rodilla E., Palomar G., Lison J.F., Botella C., Fernandez-Aranda F., Jimenez-Murcia S., Banos R.M. Analysis of the efficacy of an internet-based self-administered intervention (“Living Better”) to promote healthy habits in a population with obesity and hypertension: An exploratory randomized controlled trial. Int. J. Med. Inf. Inform. 2019;124:13–23. doi: 10.1016/j.ijmedinf.2018.12.007. [DOI] [PubMed] [Google Scholar]
  • 113.Michalsen A., Grossman P., Lehmann N., Knoblauch N.T., Paul A., Moebus S., Budde T., Dobos G.J. Psychological and quality-of-life outcomes from a comprehensive stress reduction and lifestyle program in patients with coronary artery disease: Results of a randomized trial. Psychother. Psychosom. 2005;74:344–352. doi: 10.1159/000087781. [DOI] [PubMed] [Google Scholar]
  • 114.Moncrieft A.E., Llabre M.M., McCalla J.R., Gutt M., Mendez A.J., Gellman M.D., Goldberg R.B., Schneiderman N. Effects of a Multicomponent Life-Style Intervention on Weight, Glycemic Control, Depressive Symptoms, and Renal Function in Low-Income, Minority Patients with Type 2 Diabetes: Results of the Community Approach to Lifestyle Modification for Diabetes Randomized Controlled Trial. Psychosom. Med. 2016;78:851–860. doi: 10.1097/PSY.0000000000000348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Moseley L., Gradisar M. Evaluation of a school-based intervention for adolescent sleep problems. Sleep. 2009;32:334–341. doi: 10.1093/sleep/32.3.334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Mountain G., Windle G., Hind D., Walters S., Keertharuth A., Chatters R., Sprange K., Craig C., Cook S., Lee E., et al. A preventative lifestyle intervention for older adults (lifestyle matters): A randomised controlled trial. Age Ageing. 2017;46:627–634. doi: 10.1093/ageing/afx021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Murawski B., Plotnikoff R.C., Rayward A.T., Oldmeadow C., Vandelanotte C., Brown W.J., Duncan M.J. Efficacy of an m-Health Physical Activity and Sleep Health Intervention for Adults: A Randomized Waitlist-Controlled Trial. Am. J. Prev. Med. 2019;57:503–514. doi: 10.1016/j.amepre.2019.05.009. [DOI] [PubMed] [Google Scholar]
  • 118.Nie C., Li T., Guo X. Intensive Patients’ Education and Lifestyle Improving Program in CAD Patients. West. J. Nurs. Res. 2019;41:1254–1269. doi: 10.1177/0193945918810205. [DOI] [PubMed] [Google Scholar]
  • 119.O’Neill R.F., Haseen F., Murray L.J., O’Sullivan J.M., Cantwell M.M. A randomised controlled trial to evaluate the efficacy of a 6-month dietary and physical activity intervention for patients receiving androgen deprivation therapy for prostate cancer. J. Cancer Surviv. 2015;9:431–440. doi: 10.1007/s11764-014-0417-8. [DOI] [PubMed] [Google Scholar]
  • 120.O’Reilly S.L., Dunbar J.A., Versace V., Janus E., Best J.D., Carter R., Oats J.J., Skinner T., Ackland M., Phillips P.A., et al. Mothers after Gestational Diabetes in Australia (MAGDA): A Randomised Controlled Trial of a Postnatal Diabetes Prevention Program. PLoS Med. 2016;13:e1002092. doi: 10.1371/journal.pmed.1002092. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Phelan S., Phipps M.G., Abrams B., Darroch F., Grantham K., Schaffner A., Wing R.R. Does behavioral intervention in pregnancy reduce postpartum weight retention? Twelve-month outcomes of the Fit for Delivery randomized trial. Am. J. Clin. Nutr. 2014;99:302–311. doi: 10.3945/ajcn.113.070151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Psarraki E.E., Bacopoulou F., Panagoulias E., Michou M., Pelekasis P., Artemiadis A., Chrousos G.P., Darviri C. The effects of Pythagorean Self-Awareness Intervention on patients with major depressive disorder: A pilot randomized controlled trial. J. Psychiatr. Res. 2021;138:326–334. doi: 10.1016/j.jpsychires.2021.03.067. [DOI] [PubMed] [Google Scholar]
  • 123.Sacco W.P., Malone J.I., Morrison A.D., Friedman A., Wells K. Effect of a brief, regular telephone intervention by paraprofessionals for type 2 diabetes. J. Behav. Med. 2009;32:349–359. doi: 10.1007/s10865-009-9209-4. [DOI] [PubMed] [Google Scholar]
  • 124.Sanaati F., Mohammad-Alizadeh Charandabi S., Farrokh Eslamlo H., Mirghafourvand M., Alizadeh Sharajabad F. The effect of lifestyle-based education to women and their husbands on the anxiety and depression during pregnancy: A randomized controlled trial. J. Matern. Fetal Neonatal Med. 2017;30:870–876. doi: 10.1080/14767058.2016.1190821. [DOI] [PubMed] [Google Scholar]
  • 125.Saxton J.M., Scott E.J., Daley A.J., Woodroofe M., Mutrie N., Crank H., Powers H.J., Coleman R.E. Effects of an exercise and hypocaloric healthy eating intervention on indices of psychological health status, hypothalamic-pituitary-adrenal axis regulation and immune function after early-stage breast cancer: A randomised controlled trial. Breast Cancer Res. 2014;16:R39. doi: 10.1186/bcr3643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Sebregts E.H., Falger P.R., Appels A., Kester A.D., Bar F.W. Psychological effects of a short behavior modification program in patients with acute myocardial infarction or coronary artery bypass grafting. A randomized controlled trial. J. Psychosom. Res. 2005;58:417–424. doi: 10.1016/j.jpsychores.2004.02.021. [DOI] [PubMed] [Google Scholar]
  • 127.Serrano Ripoll M.J., Oliván-Blázquez B., Vicens-Pons E., Roca M., Gili M., Leiva A., García-Campayo J., Demarzo M.P., García-Toro M. Lifestyle change recommendations in major depression: Do they work? J. Affect. Disord. 2015;183:221–228. doi: 10.1016/j.jad.2015.04.059. [DOI] [PubMed] [Google Scholar]
  • 128.Sheean P., Matthews L., Visotcky A., Banerjee A., Moosreiner A., Kelley K., Chitambar C.R., Papanek P.E., Stolley M. Everyday Counts: A randomized pilot lifestyle intervention for women with metastatic breast cancer. Breast Cancer Res. Treat. 2021;187:729–741. doi: 10.1007/s10549-021-06163-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Sorensen M., Anderssen S., Hjerman I., Holme I., Ursin H. The effect of exercise and diet on mental health and quality of life in middle-aged individuals with elevated risk factors for cardiovascular disease. J. Sports Sci. 1999;17:369–377. doi: 10.1080/026404199365885. [DOI] [PubMed] [Google Scholar]
  • 130.Speyer H., Christian Brix Norgaard H., Birk M., Karlsen M., Storch Jakobsen A., Pedersen K., Hjorthoj C., Pisinger C., Gluud C., Mors O., et al. The CHANGE trial: No superiority of lifestyle coaching plus care coordination plus treatment as usual compared to treatment as usual alone in reducing risk of cardiovascular disease in adults with schizophrenia spectrum disorders and abdominal obesity. World Psychiatry. 2016;15:155–165. doi: 10.1002/wps.20318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Sylvia L.G., Pegg S.L., Dufour S.C., Janos J.A., Bernstein E.E., Chang W.C., Hall N.E., Ellard K.K., Nierenberg A.A., Deckersbach T. Pilot study of a lifestyle intervention for bipolar disorder: Nutrition exercise wellness treatment (NEW Tx) J. Affect. Disord. 2019;250:278–283. doi: 10.1016/j.jad.2019.03.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Takeda S., Fukushima H., Okamoto C., Kitawaki Y., Nakayama S. Effects of a lifestyle development program designed to reduce the risk factors for cognitive decline on the mental health of elderly individuals. Psychogeriatrics. 2020;20:480–486. doi: 10.1111/psyg.12538. [DOI] [PubMed] [Google Scholar]
  • 133.Toobert D.J., Glasgow R.E., Strycker L.A., Barrera M., Jr., Ritzwoller D.P., Weidner G. Long-term effects of the Mediterranean lifestyle program: A randomized clinical trial for postmenopausal women with type 2 diabetes. Int. J. Behav. Nutr. Phys. Act. 2007;4:1. doi: 10.1186/1479-5868-4-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Tousman S.A., Zeitz H., Bond D., Stewart D., Rackow R., Greer R., Hatfield S., Layman K., Ganjwala P. A randomized controlled behavioral trial of a new adult asthma self-management program. J. Asthma Allergy Educ. 2011;2:91–96. doi: 10.1177/2150129710395752. [DOI] [Google Scholar]
  • 135.Trento M., Fornengo P., Amione C., Salassa M., Barutta F., Gruden G., Mazzeo A., Merlo S., Chiesa M., Cavallo F. Self-management education may improve blood pressure in people with type 2 diabetes. A randomized controlled clinical trial. Nutr. Metab. Cardiovasc. Dis. 2020;30:1973–1979. doi: 10.1016/j.numecd.2020.06.023. [DOI] [PubMed] [Google Scholar]
  • 136.Tsai C.L., Lin Y.W., Hsu H.C., Lou M.L., Lane H.Y., Tu C.H., Ma W.F. Effects of the Health-Awareness-Strengthening Lifestyle Program in a Randomized Trial of Young Adults with an At-Risk Mental State. Int. J. Environ. Res. Public. Health. 2021;18:1959. doi: 10.3390/ijerph18041959. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Ural A., Kizilkaya Beji N. The effect of health-promoting lifestyle education program provided to women with gestational diabetes mellitus on maternal and neonatal health: A randomized controlled trial. Psychol. Health Med. 2021;26:657–670. doi: 10.1080/13548506.2020.1856390. [DOI] [PubMed] [Google Scholar]
  • 138.van Dammen L., Wekker V., de Rooij S.R., Mol B.W.J., Groen H., Hoek A., Roseboom T.J. The effects of a pre-conception lifestyle intervention in women with obesity and infertility on perceived stress, mood symptoms, sleep and quality of life. PLoS ONE. 2019;14:e0212914. doi: 10.1371/journal.pone.0212914. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Van der Wulp I., De Leeuw J.R.J., Gorter K.J., Rutten G. Effectiveness of peer-led self-management coaching for patients recently diagnosed with type 2 diabetes mellitus in primary care: A randomized controlled trial. Diabet. Med. 2012;29:e390–e397. doi: 10.1111/j.1464-5491.2012.03629.x. [DOI] [PubMed] [Google Scholar]
  • 140.Wang M.L., Lemon S.C., Whited M.C., Rosal M.C. Who benefits from diabetes self-management interventions? The influence of depression in the Latinos en Control trial. Ann. Behav. Med. 2014;48:256–264. doi: 10.1007/s12160-014-9606-y. [DOI] [PubMed] [Google Scholar]
  • 141.Wang Q., Chair S.Y., Wong E.M. The effects of a lifestyle intervention program on physical outcomes, depression, and quality of life in adults with metabolic syndrome: A randomized clinical trial. Int. J. Cardiol. 2017;230:461–467. doi: 10.1016/j.ijcard.2016.12.084. [DOI] [PubMed] [Google Scholar]
  • 142.Williams A., Wiggers J., O’Brien K.M., Wolfenden L., Yoong S.L., Hodder R.K., Lee H., Robson E.K., McAuley J.H., Haskins R. Effectiveness of a healthy lifestyle intervention for chronic low back pain: A randomised controlled trial. Pain. 2018;159:1137–1146. doi: 10.1097/j.pain.0000000000001198. [DOI] [PubMed] [Google Scholar]
  • 143.Wong V.W.-H., Ho F.Y.-Y., Shi N.-K., Tong J.T.-Y., Chung K.-F., Yeung W.-F., Ng C.H., Oliver G., Sarris J. Smartphone-delivered multicomponent lifestyle medicine intervention for depressive symptoms: A randomized controlled trial. J. Consult. Clin. Psychol. 2021;89:970. doi: 10.1037/ccp0000695. [DOI] [PubMed] [Google Scholar]
  • 144.Gallagher R., Zelestis E., Hollams D., Denney-Wilson E., Kirkness A. Impact of the Healthy Eating and Exercise Lifestyle Programme on depressive symptoms in overweight people with heart disease and diabetes. Eur. J. Prev. Cardiol. 2014;21:1117–1124. doi: 10.1177/2047487313486043. [DOI] [PubMed] [Google Scholar]
  • 145.Gaudel P., Neupane S., Koivisto A.-M., Kaunonen M., Rantanen A. Effects of a lifestyle-related risk factor modification intervention on lifestyle changes among patients with coronary artery disease in Nepal. Patient Educ. Couns. 2021;104:1406–1414. doi: 10.1016/j.pec.2020.11.030. [DOI] [PubMed] [Google Scholar]
  • 146.Goracci A., Rucci P., Forgione R.N., Campinoti G., Valdagno M., Casolaro I., Carretta E., Bolognesi S., Fagiolini A. Development, acceptability and efficacy of a standardized healthy lifestyle intervention in recurrent depression. J. Affect. Disord. 2016;196:20–31. doi: 10.1016/j.jad.2016.02.034. [DOI] [PubMed] [Google Scholar]
  • 147.Jiskoot G., Dietz de Loos A., Beerthuizen A., Timman R., Busschbach J., Laven J. Long-term effects of a three-component lifestyle intervention on emotional well-being in women with Polycystic Ovary Syndrome (PCOS): A secondary analysis of a randomized controlled trial. PLoS ONE. 2020;15:e0233876. doi: 10.1371/journal.pone.0233876. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Lorig K., Ritter P.L., Villa F.J., Armas J. Community-based peer-led diabetes self-management: A randomized trial. Diabetes Educ. 2009;35:641–651. doi: 10.1177/0145721709335006. [DOI] [PubMed] [Google Scholar]
  • 149.Lovell K., Wearden A., Bradshaw T., Tomenson B., Pedley R., Davies L.M., Husain N., Woodham A., Escott D., Swarbrick C.M., et al. An exploratory randomized controlled study of a healthy living intervention in early intervention services for psychosis: The INTERvention to encourage ACTivity, improve diet, and reduce weight gain (INTERACT) study. J. Clin. Psychiatry. 2014;75:498–505. doi: 10.4088/JCP.13m08503. [DOI] [PubMed] [Google Scholar]
  • 150.Pelekasis P., Zisi G., Koumarianou A., Marioli A., Chrousos G., Syrigos K., Darviri C. Forming a Stress Management and Health Promotion Program for Women Undergoing Chemotherapy for Breast Cancer: A Pilot Randomized Controlled Trial. Integr. Cancer Ther. 2016;15:165–174. doi: 10.1177/1534735415598225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Przybylko G., Morton D., Kent L., Morton J., Hinze J., Beamish P., Renfrew M. The effectiveness of an online interdisciplinary intervention for mental health promotion: A randomized controlled trial. BMC Psychol. 2021;9:77. doi: 10.1186/s40359-021-00577-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Rosal M.C., Olendzki B., Reed G.W., Gumieniak O., Scavron J., Ockene I. Diabetes self-management among low-income Spanish-speaking patients: A pilot study. Ann. Behav. Med. 2005;29:225–235. doi: 10.1207/s15324796abm2903_9. [DOI] [PubMed] [Google Scholar]
  • 153.Ruusunen A., Voutilainen S., Karhunen L., Lehto S.M., Tolmunen T., Keinänen-Kiukaanniemi S., Eriksson J., Tuomilehto J., Uusitupa M., Lindström J. How does lifestyle intervention affect depressive symptoms? Results from the Finnish Diabetes Prevention Study. Diabet. Med. 2012;29:e126–e132. doi: 10.1111/j.1464-5491.2012.03602.x. [DOI] [PubMed] [Google Scholar]
  • 154.Samuel-Hodge C.D., Holder-Cooper J.C., Gizlice Z., Davis G., Steele S.P., Keyserling T.C., Kumanyika S.K., Brantley P.J., Svetkey L.P. Family PArtners in Lifestyle Support (PALS): Family-based weight loss for African American adults with type 2 diabetes. Obesity. 2017;25:45–55. doi: 10.1002/oby.21700. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Skrinar G.S., Huxley N.A., Hutchinson D.S., Menninger E., Glew P. The role of a fitness intervention on people with serious psychiatric disabilities. Psychiatr. Rehabil. J. 2005;29:122–127. doi: 10.2975/29.2005.122.127. [DOI] [PubMed] [Google Scholar]
  • 156.Surkan P.J., Gottlieb B.R., McCormick M.C., Hunt A., Peterson K.E. Impact of a health promotion intervention on maternal depressive symptoms at 15 months postpartum. Matern. Child. Health J. 2012;16:139–148. doi: 10.1007/s10995-010-0729-x. [DOI] [PubMed] [Google Scholar]
  • 157.Ye Z.J., Liang M.Z., Qiu H.Z., Liu M.L., Hu G.Y., Zhu Y.F., Zeng Z., Zhao J.J., Quan X.M. Effect of a multidiscipline mentor-based program, Be Resilient to Breast Cancer (BRBC), on female breast cancer survivors in mainland China-A randomized, controlled, theoretically-derived intervention trial. Breast Cancer Res. Treat. 2016;158:509–522. doi: 10.1007/s10549-016-3881-1. [DOI] [PubMed] [Google Scholar]
  • 158.Moore S.M., Hardie E.A., Hackworth N.J., Critchley C.R., Kyrios M., Buzwell S.A., Crafti N.A. Can the onset of type 2 diabetes be delayed by a group-based lifestyle intervention? A randomised control trial. Psychol. Health. 2011;26:485–499. doi: 10.1080/08870440903548749. [DOI] [PubMed] [Google Scholar]
  • 159.Morales-Fernandez A., Jimenez-Martin J.M., Morales-Asencio J.M., Vergara-Romero M., Mora-Bandera A.M., Aranda-Gallardo M., Canca-Sanchez J.C. Impact of a nurse-led intervention on quality of life in patients with chronic non-malignant pain: An open randomized controlled trial. J. Adv. Nurs. 2021;77:255–265. doi: 10.1111/jan.14608. [DOI] [PubMed] [Google Scholar]
  • 160.Mitchell K.E., Johnson-Warrington V., Apps L.D., Bankart J., Sewell L., Williams J.E., Rees K., Jolly K., Steiner M., Morgan M., et al. A self-management programme for COPD: A randomised controlled trial. Eur. Respir. J. 2014;44:1538–1547. doi: 10.1183/09031936.00047814. [DOI] [PubMed] [Google Scholar]
  • 161.van Dammen L., Wekker V., de Rooij S.R., Groen H., Hoek A., Roseboom T.J. A systematic review and meta-analysis of lifestyle interventions in women of reproductive age with overweight or obesity: The effects on symptoms of depression and anxiety. Obes. Rev. An. Off. J. Int. Assoc. Study Obes. 2018;19:1679–1687. doi: 10.1111/obr.12752. [DOI] [PubMed] [Google Scholar]
  • 162.Yadav R.K., Magan D., Mehta N., Sharma R., Mahapatra S.C. Efficacy of a short-term yoga-based lifestyle intervention in reducing stress and inflammation: Preliminary results. J. Altern. Complement. Med. 2012;18:662–667. doi: 10.1089/acm.2011.0265. [DOI] [PubMed] [Google Scholar]
  • 163.Daubenmier J.J., Weidner G., Sumner M.D., Mendell N., Merritt-Worden T., Studley J., Ornish D. The contribution of changes in diet, exercise, and stress management to changes in coronary risk in women and men in the multisite cardiac lifestyle intervention program. Ann. Behav. Med. 2007;33:57–68. doi: 10.1207/s15324796abm3301_7. [DOI] [PubMed] [Google Scholar]
  • 164.Kivimäki M., Steptoe A. Effects of stress on the development and progression of cardiovascular disease. Nat. Rev. Cardiol. 2018;15:215–229. doi: 10.1038/nrcardio.2017.189. [DOI] [PubMed] [Google Scholar]
  • 165.Herbert C., Meixner F., Wiebking C., Gilg V. Regular Physical Activity, Short-Term Exercise, Mental Health, and Well-Being Among University Students: The Results of an Online and a Laboratory Study. Front. Psychol. 2020;11:509. doi: 10.3389/fpsyg.2020.00509. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166.Park C.L., Finkelstein-Fox L., Sacco S.J., Braun T.D., Lazar S. How does yoga reduce stress? A clinical trial testing psychological mechanisms. Stress. Health. 2021;37:116–126. doi: 10.1002/smi.2977. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167.Yap Y., Slavish D.C., Taylor D.J., Bei B., Wiley J.F. Bi-directional relations between stress and self-reported and actigraphy-assessed sleep: A daily intensive longitudinal study. Sleep. 2019;43:zsz250. doi: 10.1093/sleep/zsz250. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Lo Martire V., Caruso D., Palagini L., Zoccoli G., Bastianini S. Stress & sleep: A relationship lasting a lifetime. Neurosci. Biobehav. Rev. 2020;117:65–77. doi: 10.1016/j.neubiorev.2019.08.024. [DOI] [PubMed] [Google Scholar]
  • 169.De Vriendt T., Clays E., Huybrechts I., De Bourdeaudhuij I., Moreno L.A., Patterson E., Molnár D., Mesana M.I., Beghin L., Widhalm K., et al. European adolescents’ level of perceived stress is inversely related to their diet quality: The Healthy Lifestyle in Europe by Nutrition in Adolescence study. Br. J. Nutr. 2012;108:371–380. doi: 10.1017/S0007114511005708. [DOI] [PubMed] [Google Scholar]
  • 170.Madlung A., Comai L. The effect of stress on genome regulation and structure. Ann. Bot. 2004;94:481–495. doi: 10.1093/aob/mch172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171.Wezyk A.B., Arden-Close E., Turner-Cobb J.M. Ask a hundred people, you get a hundred definitions: A comparison of lay and expert understanding of stress and its associations with health. Stress. Health. 2024;40:e3328. doi: 10.1002/smi.3328. [DOI] [PubMed] [Google Scholar]
  • 172.Wang X., Arafa A., Liu K., Eshak E.S., Hu Y., Dong J.-Y. Combined healthy lifestyle and depressive symptoms: A meta-analysis of observational studies. Affective Disorders. 2021;289:144–150. doi: 10.1016/j.jad.2021.04.030. [DOI] [PubMed] [Google Scholar]
  • 173.Pearce M., Garcia L., Abbas A., Strain T., Schuch F.B., Golubic R., Kelly P., Khan S., Utukuri M., Laird Y., et al. Association Between Physical Activity and Risk of Depression: A Systematic Review and Meta-analysis. JAMA Psychiatry. 2022;79:550–559. doi: 10.1001/jamapsychiatry.2022.0609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 174.Gujral S., Aizenstein H., Reynolds C.F., III, Butters M.A., Erickson K.I. Exercise effects on depression: Possible neural mechanisms. Gen. General. Hosp. Psychiatry. 2017;49:2–10. doi: 10.1016/j.genhosppsych.2017.04.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175.Russo-Neustadt A.A., Beard R.C., Huang Y.M., Cotman C.W. Physical activity and antidepressant treatment potentiate the expression of specific brain-derived neurotrophic factor transcripts in the rat hippocampus. Neuroscience. 2000;101:305–312. doi: 10.1016/S0306-4522(00)00349-3. [DOI] [PubMed] [Google Scholar]
  • 176.Garza A.A., Ha T.G., Garcia C., Chen M.J., Russo-Neustadt A.A. Exercise, antidepressant treatment, and BDNF mRNA expression in the aging brain. Pharmacol. Biochem. Behav. 2004;77:209–220. doi: 10.1016/j.pbb.2003.10.020. [DOI] [PubMed] [Google Scholar]
  • 177.Lin T.W., Kuo Y.M. Exercise benefits brain function: The monoamine connection. Brain Sci. 2013;3:39–53. doi: 10.3390/brainsci3010039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178.Lopresti A.L., Hood S.D., Drummond P.D. A review of lifestyle factors that contribute to important pathways associated with major depression: Diet, sleep and exercise. J. Affect. Disord. 2013;148:12–27. doi: 10.1016/j.jad.2013.01.014. [DOI] [PubMed] [Google Scholar]
  • 179.Mathur N., Pedersen B.K. Exercise as a mean to control low-grade systemic inflammation. Mediat. Inflamm. 2008;2008:109502. doi: 10.1155/2008/109502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180.Ernst C., Olson A.K., Pinel J.P., Lam R.W., Christie B.R. Antidepressant effects of exercise: Evidence for an adult-neurogenesis hypothesis? J. Psychiatry Neurosci. JPN. 2006;31:84–92. [PMC free article] [PubMed] [Google Scholar]
  • 181.Salmon P. Effects of physical exercise on anxiety, depression, and sensitivity to stress: A unifying theory. Clin. Psychol. Rev. 2001;21:33–61. doi: 10.1016/S0272-7358(99)00032-X. [DOI] [PubMed] [Google Scholar]
  • 182.Droste S.K., Gesing A., Ulbricht S., Muller M.B., Linthorst A.C., Reul J.M. Effects of long-term voluntary exercise on the mouse hypothalamic-pituitary-adrenocortical axis. Endocrinology. 2003;144:3012–3023. doi: 10.1210/en.2003-0097. [DOI] [PubMed] [Google Scholar]
  • 183.Morgan J.A., Corrigan F., Baune B.T. Effects of physical exercise on central nervous system functions: A review of brain region specific adaptations. J. Mol. Psychiatry. 2015;3:3. doi: 10.1186/s40303-015-0010-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 184.Firth J., Gangwisch J.E., Borisini A., Wootton R.E., Mayer E.A. Food and mood: How do diet and nutrition affect mental wellbeing? BMJ. 2020;369:m2382. doi: 10.1136/bmj.m2382. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 185.Ludwig D.S. The glycemic index: Physiological mechanisms relating to obesity, diabetes, and cardiovascular disease. JAMA. 2002;287:2414–2423. doi: 10.1001/jama.287.18.2414. [DOI] [PubMed] [Google Scholar]
  • 186.Amiri S., Behnezhad S., Nadinlui K.B. Body Mass Index (BMI) and risk of depression in adults: A systematic review and meta-analysis of longitudinal studies. Obes. Med. 2018;12:1–12. doi: 10.1016/j.obmed.2018.10.001. [DOI] [Google Scholar]
  • 187.Carroll D., Phillips A.C., Der G. Body mass index, abdominal adiposity, obesity, and cardiovascular reactions to psychological stress in a large community sample. Psychosom. Med. 2008;70:653–660. doi: 10.1097/PSY.0b013e31817b9382. [DOI] [PubMed] [Google Scholar]
  • 188.Smith K.J., Beland M., Clyde M., Gariepy G., Page V., Badawi G., Rabasa-Lhoret R., Schmitz N. Association of diabetes with anxiety: A systematic review and meta-analysis. J. Psychosom. Res. 2013;74:89–99. doi: 10.1016/j.jpsychores.2012.11.013. [DOI] [PubMed] [Google Scholar]
  • 189.Rotella F., Mannucci E. Diabetes mellitus as a risk factor for depression. A meta-analysis of longitudinal studies. Diabetes Res. Clin. Pract. 2013;99:98–104. doi: 10.1016/j.diabres.2012.11.022. [DOI] [PubMed] [Google Scholar]
  • 190.Walburg F.S., van Meijel B., Hoekstra T., Kol J., Pape L.M., de Joode J.W., van Tulder M., Adriaanse M. Effectiveness of a Lifestyle Intervention for People with a Severe Mental Illness in Dutch Outpatient Mental Health Care: A Randomized Clinical Trial. JAMA Psychiatry. 2023;80:886–894. doi: 10.1001/jamapsychiatry.2023.1566. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data sharing is not applicable. No new data were created or analyzed in this study.


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