Skip to main content
Frontiers in Public Health logoLink to Frontiers in Public Health
. 2025 Jul 1;13:1555029. doi: 10.3389/fpubh.2025.1555029

Aerobic exercise strategies for anxiety and depression among children and adolescents: a systematic review and meta-analysis

Huishan Song 1,*, Sheng Ge 2, Yuhe Wang 3, Linghua Ran 1, Hongyan Zhang 4
PMCID: PMC12261993  PMID: 40666146

Abstract

Objective

This study aimed to investigate the effects of exercise intensity, frequency, session duration, and intervention period in aerobic exercise programs on alleviating depression and anxiety symptoms among children and adolescents. The objective of this study is to develop suitable aerobic exercise plans for these individuals.

Methods

All articles published between the database inception year and November 2024 were obtained from PubMed, Scopus, and Web of Science. A meta-analysis was conducted using RevMan 5.4.

Results

The analysis included data from 19 randomized controlled trials involving 2,093 children and adolescents. The findings indicated that aerobic exercise significantly improved anxiety (standardized mean difference [SMD] = −0.32, 95% CI: −0.60, −0.03; p < 0.00001) and depression (SMD = −0.64, 95% CI: −0.94, −0.33, p < 0.00001). For anxiety symptoms, sessions lasting 60–75 min showed significant effects (SMD = −1.65, 95% CI: −3.25, −0.06, p < 0.00001); a frequency of 3–4 sessions/week was most effective (SMD = −0.42, 95% CI: −0.74, −0.10, p = 0.001); and interventions exceeding 12 weeks showed significant improvements (SMD = −0.51, 95% CI: −0.89, −0.14, p = 0.002). For depression symptoms, sessions lasting 60–75 min produced significant effects (SMD = −0.78, 95% CI: −1.24, −0.33, p = 0.001); a frequency of 3–4 sessions/week yielded optimal outcomes (SMD = −0.78, 95% CI: −1.09, −0.46, p < 0.00001); and a shorter duration of 5–8 weeks showed significant improvements (SMD = −1.22, 95% CI: −1.79, −0.65, p < 0.0001).

Conclusion

For managing anxiety symptoms in children and adolescents, we recommend a high-intensity exercise regimen (60–89% VO2 max, 60–75 min/session, 3–4 sessions/week) with an optimal intervention duration of over 12 weeks. For managing depression symptoms, we propose a moderate-to-high-intensity exercise protocol (40–89% VO2 max) with the same session duration and frequency, but with a shorter optimal intervention duration of 5–8 weeks.

Keywords: aerobic exercise (AE), anxiety, depression, children, adolescents

1. Introduction

Aerobic exercise has been identified as a promising non-pharmacological therapy for managing anxiety and depression; however, specific intervention strategies remain unclear. An alarming surge in the prevalence of anxiety and depression among children and adolescents has emerged as a pressing public health concern, with detrimental effects on physical, mental, and social environments (1, 2). Statistics indicate that by the age of 18, approximately 20% of adolescents may experience episodes of depression or anxiety. These disorders often exhibit chronic and recurrent characteristics, with comorbidity rates ranging from 10 to 50% (3). Research has revealed that several factors contribute to the rise in these mental health issues, including rising pressure in academic performance, the influence of social media, and the overall complexity of modern life (4, 5). Moreover, anxiety and depression can lead to physical ailments, such as sleep disorders, obesity, and chronic fatigue, which in turn exacerbate the mental health challenges faced by adolescents (6).

Numerous scholarly studies have meticulously examined the multifaceted advantages of aerobic exercise in adolescents, including its role in fortifying the heart, enhancing bone and muscle health, and mitigating the risk of mental disorders (7, 8). By improving cardiorespiratory fitness, individuals can not only boost their physical performance but also potentially enhance their mental resilience and emotional well-being. This highlights the critical role of cardiorespiratory fitness in the context of exercise to combat anxiety and depression. Moreover, as a key aspect of physical activity, aerobic exercise has been suggested as an effective approach to tackle physical manifestations and mental health challenges, serving as a valuable adjunctive therapy for anxiety and depression (9). For instance, a meta-analysis conducted by Larun et al. synthesized data from multiple randomized controlled trials (1). They found that exercise interventions significantly reduced the symptoms of anxiety and depression in adolescents aged 12–18 years. The effect sizes were moderate to large, indicating a substantial beneficial impact. Another longitudinal study by Werner-Seidler et al. assessed a cohort of children aged 8–13 years (3). The researchers observed that those who participated in regular school-based physical activity programs had lower levels of anxiety and depression symptoms over a 2-year period compared to their sedentary counterparts. Therefore, implementing comprehensive programs that promote regular physical activity can play a pivotal role in cultivating healthier and more balanced lifestyles among youth, ultimately leading to long-term improvements in both mental health and overall life satisfaction.

Although numerous studies have explored the impact of exercise on health, there are still significant gaps in understanding the optimal parameters for aerobic training, especially in specific populations, such as children and adolescents. The optimal levels of intensity, frequency, session duration, and intervention period of exercise have yet to be established. Our research systematically explores these key parameters and aims to fill a critical gap in the current academic literature. Consequently, the central research inquiry is to assess the effectiveness of the intensity, frequency, session length, and intervention period of the aerobic exercise program in alleviating the symptoms of depression and anxiety, thereby providing a theoretical foundation for creating individualized aerobic training regimens for children and adolescents.

2. Materials and methods

2.1. Search strategy

This systematic review adhered to the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines for reporting meta-analyses. This study was also pre-registered in the international database of prospectively registered systematic reviews in health and social care (10) (PROSPERO CRD42024618219).

We conducted a search across three electronic databases, namely PubMed, Scopus, and Web of Science, to identify relevant articles published between the database’s inception year and November 2024. The terms utilized for electronic searches included (adolescent OR teenager OR children OR student) AND (sport OR “aerobic exercise” OR “aerobic training”) AND (depressive OR depression OR anxiety OR “mental health” OR “emotional symptom” OR anxious). Supplementary File S1 outlines the particular search tactics for the three electronic databases. In addition, we manually searched the reference lists of the relevant systematic reviews to identify more eligible studies.

2.2. Selection criteria

The title and abstract of the article were scrutinized by two authors (H. S. Song and S. GE), with a final evaluation and decision made by a third author (L. H. RAN).

Research studies were included if they met the following criteria: (1) involved children and adolescents aged 6–19 years; (2) examined the effects of aerobic exercise; (3) included a control group (such as usual care, health education, or no treatment); (4) assessed outcomes related to anxiety and depression; and (5) were designed as clinical randomized controlled trials (RCTs).

Research studies were excluded if they met any of the following criteria: (1) a repeated publication, (2) lack of a control group, (3) omission of the entire text, or (4) absence of data or unclear reporting of data for analysis.

2.3. Data extraction and subgroup analysis

Information was gathered from the selected research studies, which encompassed elements including the primary author’s name, publication year, size of the sample, participant information (age and numbers), intervention design (both experimental and control groups), treatment specifics (intensity, frequency, session duration, and intervention period), and outcome measures. Literature screening was performed by two researchers (H. S. Song and Y. H. Wang), and the results of the two screenings were compared. In case of disagreement, a third researcher (L. H. Ran) decided on inclusion of the studies.

In terms of subgroup analyses, we conducted two distinct subgroup analyses for anxiety and depression outcomes according to the intensity, frequency, session duration, and intervention period of the exercise intervention in the experimental group. The aim of this study is to establish the best fitness regimen for children and adolescents who suffer from anxiety and depression.

2.4. Risk of bias and quality assessment

We evaluated the potential for bias in each of the included studies using the guidelines detailed in the Cochrane Handbook and applying the PEDro scale (11). The evaluation of quality encompassed the development of random sequences, methods to conceal allocation, blinding of both researchers and participants, masking of study findings, etc. For every requirement that was satisfied, one point was awarded. The evaluation scale extended from 0 to 10, where ratings of 9 to 10 signified outstanding quality, scores between 6 and 8 represented good quality, ratings of 4 to 5 indicated acceptable quality, and any score below 4 denoted subpar quality (12). Additionally, risk was assessed according to the following criteria: unclear, low, and high. Two researchers (H. S. Song and H. Y. Zhang) independently evaluated the quality of the literature and then cross-checked it with a third researcher (L. H. Ran) to determine the risk level in ambiguous literature.

2.5. Statistical analysis

The software RevMan 5.4 for Windows was used to conduct the meta-analyses. Standardized mean differences (SMD) were selected as helpful indicators, and the variance was presented as a 95% confidence interval (CI). If there was no discernible difference according to the heterogeneity test, a fixed-effects model was used. Otherwise, a random-effects model was used. Heterogeneity was evaluated using the I2 statistic. Heterogeneity was considered high when I2 was greater than 75%. In-depth subgroup analyses were performed according to various comparison types. We conducted a sensitivity assessment by individually excluding each study to assess the robustness of the findings. Additionally, we assessed publication bias by visually examining funnel plots and employing statistical methods, provided that a minimum of 10 research projects were incorporated into the meta-analysis in accordance with the guidelines set by the Cochrane Collaboration.

3. Results

3.1. Search and screening outcomes

The selection process is shown in Figure 1. Studies were identified through searches of PubMed, Scopus, and Web of Science. A total of 1874 records were retrieved. Inclusion and exclusion criteria were applied to screen titles and abstracts, resulting in the exclusion of 1,772 studies that did not meet eligibility requirements. Full texts of the remaining 102 studies were assessed, and 19 studies were ultimately included in the meta-analysis.

Figure 1.

Flowchart titled "Identification of studies via databases and registers." It follows four stages: Identification, Screening, Eligibility, and Inclusion. Initially, 1,874 studies were identified. After removing 922 duplicates, 952 records were screened, excluding 850 based on title and abstract. From 102 reports sought for retrieval, none were not retrieved. Eligibility assessment left 19 studies included, excluding others due to reasons such as not being RCTs or ineligible design.

Flowchart based on PRISMA standards.

3.2. Research characteristics

Table 1 summarizes the characteristics of the 19 studies (13–31), detailing publication dates, sample sizes, and demographics of the populations examined by age. It also includes the design of treatment interventions concerning mode, intensity, duration, and frequency, along with information about the control groups and the outcome measures assessed. This analysis encompassed findings from 19 randomized controlled trials involving 2093 children and adolescents. The 19 studies were broadly categorized into aerobic exercises of different types based on their exercise content. Each exercise session varied in length from 15 to 75 min, and the intervention period ranged from 5 to 24 weeks. Additionally, the frequency of exercise interventions varied from 1 to 7 times per week. The measured outcomes mainly consisted of depression and anxiety. The specifics of this study are shown in Table 1.

Table 1.

The character of included studies.

No. Included studies Age Sample Size (T/C) Intervention Control group Outcome measure
Training movement Intensity Frequency;
duration
1 Bao 2015 (13) 14.74 ± 0.66 80/80 Tai Chi NR 60 min/time
5 times/week
12 months
No exercise Anxiety: PHCSCS
SP: SPPC
2 Dabidy 2011 (14) T:16.91 ± 1.03
C: 16.83 ± 0.82
12/12 Pool walking exercise 60–70% HRmax 15 min/time
3 times/week
6 weeks
No exercise Depression: Ham-D
3 Fidelix 2019 (15) T:14.64 ± 1.14
C: 14.64 ± 1.18
31/31 High intensity exercise 80–90%VO2 max 60 min/time
3 times/week
24 weeks
Routine exercises Anxiety: STAI
Depression: BDI;
SP: RSES
4 Goldfield 2015 (16) T: 15.5 ± 1.4
C: 15.6 ± 1.3
75/76 Treadmills, elliptical machines 65–85% HRmax 65 min/time
4times/week;
24 weeks
No exercise Anxiety: BRUMS-Tension;
Depression: BRUMS-Depression;
SP: GSW
5 Jelalian 2011 (17) 14.20 ± 0.93 45/44 Aerobic exercise NR 1 times/week
16 weeks
Peer enhanced adventure therapy Anxiety: SAS-A
SP: GSW;
BMI
6 Jeong 2005 (18) 16 20/20 Dancing NR 45 min/time
3 times/week
12 weeks
Routine exercises Anxiety: SCL-90
Depression: SCL-90
7 Luo 2021 (19) T: 13.83 ± 0.39
C: 13.96 ± 0.21
23/34 Aerobic exercise RPE:11–14 30 min/time
4times/week;
12 weeks
No exercise Anxiety: SAS
Depression: SDS
8 Melnyk 2009 (20) 15.5 ± 0.63 12/7 Kickball, walking NR 15–20 min/time
2–3 times/week
9 weeks
No exercise Anxiety: BDI-anxiety
Depression: BDI-depression
9 Nazari 2020 (21) T: 11.22 ± 1.9
C: 11.00 ± 2.67
20/20 Aerobic exercise 50–75% HRmax 60 min/time
3 times/week
16 weeks
No exercise Anxiety: RCMAS
10 Petty 2009 (22) AE(a): 9.3 ± 0.9
AE(b): 9.3 ± 1
C: 9.4 ± 1.2
AE(a)/C: 68/68
AE(b)/C: 70/68
AE(a): HIIT (low dose)
AE(b): HIIT (high dose)
160–175bmp 20–40 min /time
6 times/week;
13 ± 1.6 weeks
No exercise Depression: RCDS;
SP: GSW;
BMI
11 Philippot 2022 (23) T: 15.2 ± 1.5
C: 15.5 ± 1.77
20/20 Aerobic exercise 40–59% HRmax 60 min/time
4 times/week
5 weeks
Social relaxation activity Anxiety: HADS-A
Depression: HADS-D
12 Roh 2018 (24) T: 11.53 ± 0.64
C: 11.40 ± 0.63
15/15 Taekwondo NR 60 min/time
1 times/week
16 weeks
Baseline activity levels Anxiety: HADS-A
Depression: HADS-D
13 Romero 2020 (25) 10.02 ± 0.79 54/51 Specific exercises and pre-sport games NR 50 min/time
2 times/week;
20 weeks
No exercise Anxiety: CMAS-R;
Depression: RCDS
BMI
14 Roth 1987 (26) 18.9 ± 1.3 18/18 Aerobic exercise 90% HRmax 30 min/time
3 times/week;
11 weeks
No exercise Anxiety: STAI
Depression: BDI
15 Silva 2020 (27) 11–14 10/10 Swimming training NR 45 min/time
2 times/week;
8 week
Routine exercises Anxiety: BAI
Depression: CDI
16 Talakoub 2012 (28) 14–20 32/32 Aerobic exercise 50–70% HRmax 60 min/time
3 times/week;
6 week
No exercise Anxiety: SCL-90
Depression: SCL-90
17 Wagener 2012 (29) 14 ± 1.66 21/20 Group dance-based exergame exercise 75% HRmax 75 min/time
3 times/week;
10 weeks
Baseline activity levels BASC-2;
SP: PCS;
BMI
18 Weintraub 2008 (30) T: 9.50 ± 0.58
C: 10.34 ± 0.84
9/12 Soccer program NR 60 min/times
4 times/week
12 weeks
Health education Depression: CDI;
SP: RSES;
BMI
19 Williams 2019 (31) 9.7 ± 0.9 90/85 Vigorous aerobic activities and games NR 40 min /time;
7 times/week;
24 weeks
½ hr. of supervised homework Depression: CDI;
SP: GSW

AE, aerobic exercise; HIIT, high-intensity interval training; NR, not recorded; STAI, Spielberger State–Trait Anxiety Inventory; GSW, global self-worth; RCDS, Reynolds Child Depression Scale; SP, self perception; SPPC, self-perception profile for children; CMAS-R, Manifest Anxiety Scale in Children-Revised; PCS, Perceived Competence Scale; BASC-2, Behavior Assessment System for Children-2; PRS-A, Parent Rating Scales-Adolescent version; SRP-A, Adolescent Self-Report Scales; RSES, Rosenberg Self-esteem Scale; CDI, Children’s Depression Inventory; QOL, Quality of life score; PedsQL, Pediatric Quality of Life Inventory; PAES, Pediatric Anger Expression Scale; HLBS, Healthy Lifestyle Beliefs Scale; BDI, The Beck Depression Inventory; PEQ, Peer Experiences Questionnaire; SAS-A, Social Anxiety Scale for Adolescents; BRUMS, Brunell Mood Scale.

3.3. Study quality and publication bias

The overall quality of the enrolled publications was relatively high in the quality evaluation of the RCTs. Supplementary File S2 displays each study’s PEDro scores for quality evaluation. Figure 2 shows the specifics regarding the included studies’ risk of bias. The PEDro scores of most studies were > 6, and only two studies had a score of 5. The assessment of bias showed that a relatively small percentage of studies were at high risk, with the majority falling into the “unclear risk of bias” category. There were no notable biases in the general results of this study. The risk assessment was then entered separately into Review Manager (RevMan 5.4) for each trial, resulting in a risk-of-bias summary that was provided together with the meta-analysis findings. According to the funnel diagram, there was no evidence of publication bias among any of the treatment research projects, which included evaluations of anxiety (Figure 3) or depression (Figure 4).

Figure 2.

Bar and matrix charts depict the risk of bias across various studies. The bar chart shows percentages of low (green), unclear (yellow), and high (red) risks for different bias types. The matrix chart provides specific risk assessments for each study under the same categories using colored circles.

Evaluation of bias risk based on Cochrane collaboration guidelines.

Figure 3.

Funnel plot with the x-axis labeled "MD" (Mean Difference) and y-axis labeled "SE(MD)" (Standard Error of the Mean Difference). Data points are scattered, with dashed lines forming a funnel shape, indicating a symmetric distribution around the vertical axis.

Funnel plot of anxiety.

Figure 4.

Funnel plot showing the standard error (SE) of the mean difference (MD) on the y-axis and the MD on the x-axis. Data points are scattered, forming an approximately symmetrical distribution around the vertical line at zero MD, within blue dashed lines representing the funnel's borders.

Funnel plot of depression.

3.4. Outcomes

3.4.1. Anxiety

Figures 5–8 show a forest plot of a subgroup analysis of 19 studies based on different aerobic exercise treatments (intensity, frequency, session duration, and intervention period), using anxiety as the outcome for children and adolescents. The anxiety levels in the aerobic exercise training group were significantly lower than those in the control group when all exercise modes were considered (SMD = −0.32, 95% CI: −0.60 to −0.03, p < 0.00001, I2 = 77%).

Figure 5.

Forest plot showing meta-analysis results of studies comparing experimental and control groups under high and medium intensity conditions. Each study is represented by a green square with a horizontal line indicating the standard mean difference and 95% confidence interval. Subtotals and totals with black diamonds indicate overall effect sizes. High intensity shows a standardized mean difference of -0.62, medium intensity -0.19, and total -0.43, all favoring experimental groups. Heterogeneity and statistical significance are also mentioned.

Anxiety results for subgroup analysis based on exercise intensity.

Figure 8.

Forest plot showing studies comparing experimental and control groups over different time frames. Each study is listed with its mean, standard deviation, and weight. Subtotals and overall effects are provided for time frames: 5–8 weeks, 9–12 weeks, and more than 12 weeks. Heterogeneity and test for overall effect values are included. Standard mean differences with 95% confidence intervals indicate whether effects favor experimental or control groups.

Anxiety results for subgroup analysis based on exercise intervention period.

In the subgroup analysis of aerobic exercise intensity (Figure 5), 4 subjects conducted high-intensity training (60–89% of VO2 max), and 3 subjects conducted moderate-intensity training (40–59% of VO2 max). According to aerobic exercise intensity, the study participants who participated in interventions for high-intensity exercise had the best experimental effect (SMD = −0.62, 95% CI: −1.10 to −0.14, p = 0.01, I2 = 69%), whereas those who participated in medium-intensity aerobic exercise did not exhibit significant effects (SMD = −0.19, 95% CI: −0.48 to 0.10, p = 0.19, I2 = 0%).

Within the subgroup analysis of aerobic exercise regimen frequency (Figure 6), 4 studies (17, 24, 25, 27) reported aerobic exercise at 1–2 sessions per week, 10 studies (15–17, 19–21, 23, 26, 28, 29) at 3–4 sessions per week, and 1 study (13) at 5–7 sessions per week. In terms of anxiety results based on aerobic exercise frequency, the study group that engaged in interventions 3–4 times a week showed the best experimental effect (SMD = −0.42, 95% CI: −0.74 to −0.10, p = 0.001, I2 = 67%), whereas those engaged in interventions 1–2 times a week did not show significant effects (SMD = −0.23, 95% CI: −0.50 to 0.04, p = 0.36, I2 = 7%).

Figure 6.

Forest plot showing a meta-analysis of studies on exercise frequency and effect. Subgroups are divided into 1-2, 3-4, and 5-7 times per week. Standardized mean differences with confidence intervals are plotted for each study. Diamonds represent subgroup and overall effects. Results show a trend favoring experimental groups, especially in the 3-4 and 5-7 times per week subgroups. Heterogeneity and test statistics are provided.

Anxiety results for subgroup analysis based on exercise frequency.

In the subgroup analysis of aerobic exercise session duration (Figure 7), 3 studies (19, 20, 26) reported aerobic exercise at 15–30 min per session, 5 studies (18, 24, 25, 27, 31) at 45–50 min per session, and 7 studies (13, 15, 16, 21, 23, 28, 29) at 60–75 min per session. According to aerobic exercise session duration, the study participants who participated in interventions for 60–75 min had the best experimental effect (SMD = −1.65, 95% CI: −3.25 to −0.06, p < 0.00001, I2 = 87%), whereas those who participated for 15–30 min and 40–50 min did not exhibit significant effects (SMD = −0.48, 95% CI: −4.26 to 3.30, p = 0.79, I2 = 0%; SMD = −0.37, 95% CI: −0.77 to 0.03, p = 0.59, I2 = 0%).

Figure 7.

Forest plot depicting a meta-analysis of studies divided into three subgroups: 15-30 minutes, 40-50 minutes, and 60-75 minutes. Each study's mean, standard deviation, and weight are listed. Mean differences with 95% confidence intervals are shown, indicating overall effects. Diamonds represent subtotal effects for each subgroup, and the final diamond indicates total effect across all studies, showing a value of -0.71 [-1.42, -0.01], favoring the control. Heterogeneity statistics are provided for each subgroup and overall. Central axis labels are "Favors experimental" and "Favors control."

Anxiety results for subgroup analysis based on exercise session duration.

In the subgroup analysis of the aerobic exercise intervention period (Figure 8), 3 studies (23, 27, 28) indicated periods of 5–8 weeks, whereas 6 studies (13, 18–20, 24, 29) reported periods ranging from 9 to 12 weeks. Additionally, another 6 studies (15–17, 21, 24, 25) documented aerobic exercise lasting over 12 weeks. Regarding anxiety outcomes based on the intervention period of aerobic exercise, the study group that engaged in interventions for more than 12 weeks showed the best experimental effect (SMD = −0.51, 95% CI: −0.89 to −0.14, p = 0.002, I2 = 74%), whereas those groups with 5–8 weeks and 9–12 weeks did not show significant effects (SMD = −0.63, 95% CI: −1.30 to 0.03, p = 0.05, I2 = 67%; SMD = 0.11, 95% CI: −0.18 to 0.39, p = 0.19, I2 = 33%).

3.4.2. Depression

Figures 9–12 are forest plots showing the subgroup analysis of the 19 studies based on aerobic exercise therapies, with depression as the outcome in children and adolescents. The depressive outcomes in the aerobic exercise group were notably reduced when compared to the control group, considering that all forms of exercise were pooled together (SMD = −0.64, 95% CI: −0.94 to −0.33, p < 0.00001, I2 = 82%).

Figure 9.

Forest plot showing the standardized mean differences (SMD) in various studies comparing experimental and control groups under high and medium intensity conditions. High intensity results in a pooled SMD of -0.47, medium intensity of -1.02, and overall of -0.63. The plot illustrates study heterogeneity and confidence intervals, with high intensity studies clustered close to zero and medium intensity showing more variance. Significance favoring the experimental group is evident across the majority of studies.

Depression results of subgroup analysis based on exercise intensity.

Figure 12.

Forest plot showing the standardized mean differences for three subgroups: 5 to 8 weeks, 9 to 12 weeks, and more than 12 weeks. Each subgroup includes multiple studies with their means, standard deviations, and weights. The plot compares experimental and control groups, indicating a general favoring of the experimental group with a total effect size of -0.64. Subgroup analyses and heterogeneity are also reported.

Depression results of subgroup analysis based on exercise intervention period.

Among the subgroup analysis of aerobic exercise intensity (Figure 9), five studies conducted high-intensity training at 60–89% of VO2 max, and three studies conducted moderate-intensity training at 40–59% of VO2 max. Both high- and moderate-intensity aerobic exercise interventions demonstrated significant effects in alleviating depression symptoms. The high-intensity training group showed a substantial impact (SMD = −0.47, 95% CI: −0.67 to −0.28, p < 0.00001, I2 = 0%), indicating a strong association between high-intensity exercise and reduced depression symptoms. Similarly, the moderate-intensity aerobic exercise group also achieved significant results (SMD = −1.02, 95% CI: −1.35 to −0.68, p < 0.00001, I2 = 2%), suggesting that moderate-intensity exercise is also an effective approach for improving depressive conditions.

In terms of depression results based on aerobic exercise frequency (Figure 10), the study group that engaged in interventions 3–4 times a week showed the best experimental effect (SMD = −0.78, 95% CI: −1.09 to −0.46, p < 0.00001, I2 = 65%), followed by the experimental group with 5–7 times a week (SMD = −0.38, 95% CI: −0.73 to −0.04, p = 0.03, I2 = 70%). Additionally, those with 1–2 times a week did not show significant effects (SMD = −0.68, 95% CI: −2.11 to 0.76, p = 0.35, I2 = 92%).

Figure 10.

Forest plot displaying a meta-analysis of various studies comparing experimental and control groups on the effect of an intervention given 1-7 times a week. The plot shows standardized mean differences and confidence intervals for subgroups categorized by frequency: 1-2, 3-4, and 5-7 times per week. Each study provides data on means, standard deviations, sample sizes, weights, and effect sizes. The overall effect size is negative, indicating a favoring of the experimental group. Heterogeneity and test statistics are presented for each subgroup and overall.

Depression results of subgroup analysis based on exercise frequency.

According to aerobic exercise session duration (Figure 11), the study participants who participated in interventions for 60–75 min had the best experimental effect (SMD = −0.78, 95% CI: −1.24 to −0.33, p = 0.001, I2 = 75%), followed by the experimental group with 15–30 min (SMD = −0.65, 95% CI: −1.12 to −0.18, p = 0.007, I2 = 62%). Additionally, those who participated for 40–50 min did not exhibit significant effects (SMD = −0.50, 95% CI: −1.04 to 0.05, p = 0.08, I2 = 87%).

Figure 11.

Forest plot showing a meta-analysis of studies comparing experimental and control interventions across three time subgroups: 15-30 minutes, 40-50 minutes, and 60-75 minutes. Each study is presented with mean, standard deviation, total sample size, weight, and standard mean difference with 95% confidence intervals. Subtotals for each subgroup and overall effects are provided, indicating a favoring of experimental interventions overall. Heterogeneity statistics like Tau², Chi², and I² are included. Results show varying effects across subgroups with overall negative standard mean differences.

Depression results of subgroup analysis based on exercise session duration.

Regarding depression outcomes based on the intervention period of aerobic exercise (Figure 12), the study group that engaged in interventions of 5–8 weeks showed the best experimental effect (SMD = −1.22, 95% CI: −1.79 to −0.65, p < 0.0001, I2 = 55%), whereas those with more than 12 weeks did not show significant effects (SMD = −0.42, 95% CI: −0.90 to 0.06, p = 0.09).

3.5. Sensitivity analysis

To investigate the potential sources of heterogeneity, sensitivity analyses were conducted through the sequential exclusion of individual studies (Figure 13). Consistent with the primary analysis, the removal of any single study demonstrated a minimal influence on the pooled estimates, indicating the robustness of the combined effect values obtained in this research.

Figure 13.

Meta-analysis forest plot showing the effect sizes of various studies when each study is omitted in turn. The x-axis ranges from -1.03 to -0.28, and the y-axis lists studies by author and year, including Dabidy (2011), Fidelix (2019), among others. Circles represent effect estimates, while lines indicate confidence intervals.

Sensitivity analysis of the relationship between exercise and depression.

4. Discussion

The outcomes of this meta-analysis suggest that aerobic training can significantly improve anxiety and depression in children and adolescents, consistent with previous research findings (32–36). Neuroimaging studies demonstrate that regular aerobic exercise enhances prefrontal cortex volume and top-down emotional regulation in adolescents, which may mediate its positive effects on emotional adjustment (37). Aerobic exercise modulates physiological stress and the hypothalamic–pituitary–adrenal axis, potentially explaining its anxiolytic effects. It reduces hypothalamic neuropeptide expression and decreases sensitivity to stressors. Studies have shown that aerobic exercise suppresses CRH expression, thereby lowering ACTH production and mitigating stress responses (1, 38, 39). Additionally, research has found that oxidative stress may be a cause of anxiety, with elevated concentrations of pro-inflammatory cytokines in children and adolescents with anxiety (40). Exercise is linked to anti-inflammatory pathways and can either prevent or reduce the intensity of anxiety symptoms by regulating inflammatory and oxidative stress pathways (41, 42).

Aerobic exercise elevates fat-burning factors in children and adolescents while simultaneously lowering inflammation markers (43). This leads to an overall enhancement of physiological health, reduction in insulin resistance, decreased fat accumulation, and improved physical fitness (44, 45). Research consistently indicates that the hippocampus is crucial for managing stress levels, and individuals with depression tend to have a hippocampal volume that is approximately 5% smaller (9, 46, 47). Engaging in regular exercise has been linked to enhancements in cardiorespiratory fitness, which in turn correlates with an increase in the size of the hippocampus. Gujral’s study showed that 6 weeks of aerobic activity was adequate to boost hippocampal volume (37). Additionally, aerobic activity alters monoamine neurotransmitters, thereby increasing 5-HT and norepinephrine levels and lowering cortisol levels (48). These neurochemical changes help alleviate depression symptoms.

The intensity, session duration, frequency, and intervention period of aerobic exercise training may modulate its effects on depressive and anxiety symptoms. For anxiety, this study found that an aerobic exercise intervention at 60–89% of VO2 max, consisting of 60–75 min each session, 3–4 times a week for over 12 weeks, was most effective in improving children’s and adolescents’ anxiety. Clinical guidelines suggest three weekly aerobic sessions for depression symptom alleviation, a protocol strongly supported by our dose–response analysis showing maximal improvements at this frequency. Blumenthal’s research (46) also demonstrated that aerobic exercise exceeding 12 weeks was as effective as medication for alleviating anxiety symptoms. The American Academy of Pediatrics recommends a daily 60 min session of moderate-to-vigorous exercise to maintain both mental and physical well-being, aligning with our research findings (49). Notably, the subgroup analysis for anxiety within a 5–8 week period showed a non-significant effect, suggesting that within this shorter time frame, aerobic exercise may not have a significant impact on anxiety reduction. This finding is consistent with the hypothesis that anxiety requires long-term intervention to achieve significant improvement. Additionally, our study did not find significant effects of moderate-intensity (40–59% of VO2 max) exercise on anxiety. One factor could be the relatively small sample size of the moderate-intensity group, which may have limited the statistical power to detect significant effects. Another factor could be the specific characteristics of the study population, such as the baseline severity of anxiety symptoms, which may have influenced responsiveness to moderate-intensity exercise. Future research with larger sample sizes and more homogeneous populations is needed to further explore this relationship. For depression, our research found that moderate-to-high-intensity exercise (40–89% VO2 max), with each session lasting 60–75 min, conducted 3–4 times a week for 5–8 weeks, was the most effective in improving the depressive state of children and adolescents. Some studies have suggested that excessive exercise that leads to pain and injury may increase the risk of depression in children and adolescents (50, 51). For example, setting excessive exercise targets may cause additional stress and feelings of failure or exacerbate existing mental health symptoms in individuals with mental health disorders. This subgroup analysis shows that there is significant heterogeneity in the intervention effects of different exercise session durations, which may be attributed to the fact that studies adopting 15–30 min sessions often incorporated high-intensity exercises, where brief durations sufficed to trigger physiological changes conducive to mood regulation. Conversely, research with 60–75 min sessions predominantly featured lower-intensity, continuous aerobic activities. Additionally, some studies integrated warm-up and cool-down periods within specified durations, whereas others concentrated solely on core exercises, resulting in inconsistent effective exercise times and further complicating the assessment of intervention efficacy. Based on the findings of this research, not every aerobic exercise mode could improve all aspects of anxiety and depression performance in children and adolescents. Therefore, these outcomes highlight the need for exercise training programs to improve anxiety and depression in children and adolescents.

This study had some limitations. A notable concern was the variability in control group interventions across the included studies, which ranged from usual care and regular physical activity to no intervention. This diversity in control conditions introduced potential confounding factors, as different baseline activities and care models might have influenced the outcomes independently of aerobic exercise. Although all control groups lacked structured aerobic exercise programs, the heterogeneity in control interventions still complicated the direct comparison of the experimental group’s effectiveness, potentially affecting the internal validity of our findings. While we made adjustments for the heterogeneity among the studies when integrating their original findings, we remained unable to fully account for the variations present. In addition, the included studies exhibited variations in the types of exercise interventions, such as running, swimming, and cycling, and in the equipment used, such as treadmills and cycle ergometers. These factors were not uniformly controlled, potentially affecting the reliability and interpretability of the study results. In the future, objective criteria should be used to evaluate the indicators and minimize the risk of bias. In order to investigate potential modifiers of treatment effects, future research should record the study design and features in greater detail.

5. Conclusion

In conclusion, it is crucial to implement an optimal exercise intervention program to maximize the prevention or reduction of anxiety and depression among children and adolescents. The results indicate that aerobic exercise positively impacts anxiety and depression in youth. Additionally, for anxiety symptoms, we recommend a high-intensity exercise protocol (60–89% VO2 max, 60–75 min/session, 3–4 sessions/week), with an optimal intervention duration exceeding 12 weeks. For depression symptoms, we propose a moderate-to-high-intensity protocol (40–89% VO2 max, 60–75 min/session, 3–4 sessions/week) with a shorter optimal duration of 5–8 weeks.

Funding Statement

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Office of Philosophy and Social Sciences of Heilongjiang Province (Project No. 23TYC162) and the Philosophy and Social Science Prosperity Program of Harbin Normal University (Project No. 2023007).

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

HS: Data curation, Writing – original draft, Writing – review & editing. SG: Conceptualization, Methodology, Software, Writing – original draft. YW: Methodology, Writing – original draft. LR: Methodology, Writing – review & editing. HZ: Methodology, Writing – original draft.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2025.1555029/full#supplementary-material

Data_Sheet_1.docx (12.6KB, docx)
Data_Sheet_2.docx (20.7KB, docx)

References

  • 1.Larun L, Nordheim LV, Ekeland E, Hagen KB, Heian F. Exercise in prevention and treatment of anxiety and depression among children and young people. Cochrane Database Syst Rev. (2006) 3:Cd004691. doi: 10.1002/14651858.CD004691.pub2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Biddle SJ, Asare M. Physical activity and mental health in children and adolescents: a review of reviews. Br J Sports Med. (2011) 45:886–95. doi: 10.1136/bjsports-2011-090185, PMID: [DOI] [PubMed] [Google Scholar]
  • 3.Werner-Seidler A, Perry Y, Calear AL, Newby JM, Christensen H. School-based depression and anxiety prevention programs for young people: a systematic review and meta-analysis. Clin Psychol Rev. (2017) 51:30–47. doi: 10.1016/j.cpr.2016.10.005, PMID: [DOI] [PubMed] [Google Scholar]
  • 4.Alonzo R, Hussain J, Stranges S, Anderson KK. Interplay between social media use, sleep quality, and mental health in youth: a systematic review. Sleep Med Rev. (2021) 56:101414. doi: 10.1016/j.smrv.2020.101414, PMID: [DOI] [PubMed] [Google Scholar]
  • 5.Steare T, Gutiérrez Muñoz C, Sullivan A, Lewis G. The association between academic pressure and adolescent mental health problems: a systematic review. J Affect Disord. (2023) 339:302–17. doi: 10.1016/j.jad.2023.07.028, PMID: [DOI] [PubMed] [Google Scholar]
  • 6.Samji H, Wu J, Ladak A, Vossen C, Stewart E, Dove N, et al. Review: mental health impacts of the COVID-19 pandemic on children and youth – a systematic review. Child Adolesc Ment Health. (2022) 27:173–89. doi: 10.1111/camh.12501, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Chen T, Lin J, Lin Y, Xu L, Lu D, Li F, et al. Effects of aerobic exercise and resistance exercise on physical indexes and cardiovascular risk factors in obese and overweight school-age children: a systematic review and meta-analysis. PLoS One. (2021) 16:e0257150. doi: 10.1371/journal.pone.0257150, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Rodriguez-Ayllon M, Cadenas-Sánchez C, Estévez-López F, Muñoz NE, Mora-Gonzalez J, Migueles JH, et al. Role of physical activity and sedentary behavior in the mental health of preschoolers, children and adolescents: a systematic review and Meta-analysis. Sports Med. (2019) 49:1383–410. doi: 10.1007/s40279-019-01099-5, PMID: [DOI] [PubMed] [Google Scholar]
  • 9.Nasstasia, Baker A, Halpin S, Lewin T, Kelly B, Callister R. Exercising depression in young people: an exploration of symptom changes in response to exercise. J Sci Med Sport. (2015) 19:e55. doi: 10.1016/j.jsams.2015.12.508 [DOI] [Google Scholar]
  • 10.Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. (2021) 372:n71. doi: 10.1136/bmj.n71 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.de Morton NA. The PEDro scale is a valid measure of the methodological quality of clinical trials: a demographic study. Aust J Physiother. (2009) 55:129–33. doi: 10.1016/s0004-9514(09)70043-1, PMID: [DOI] [PubMed] [Google Scholar]
  • 12.Cumpston M, Li T, Page MJ, Chandler J, Welch VA, Higgins JP, et al. Updated guidance for trusted systematic reviews: a new edition of the Cochrane handbook for systematic reviews of interventions. Cochrane Database Syst Rev. (2019) 10:ED000142. doi: 10.1002/14651858.Ed000142, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Bao X, Jin K. The beneficial effect of tai chi on self-concept in adolescents. Int J Psychol. (2015) 50:101–5. doi: 10.1002/ijop.12066, PMID: [DOI] [PubMed] [Google Scholar]
  • 14.Dabidy Roshan V, Pourasghar M, Mohammadian Z. The efficacy of intermittent walking in water on the rate of MHPG sulfate and the severity of depression. Iran J Psychiatry Behav Sci. (2011) 5:26–31. [PMC free article] [PubMed] [Google Scholar]
  • 15.Fidelix Y, Lofrano-Prado MC, Fortes LS, Hill JO, Caldwell AE, Botero JP, et al. Aerobic training performed at Ventilatory threshold improves psychological outcomes in adolescents with obesity. J Phys Act Health. (2019) 16:851–6. doi: 10.1123/jpah.2018-0193, PMID: [DOI] [PubMed] [Google Scholar]
  • 16.Goldfield GS, Kenny GP, Alberga AS, Prud'homme D, Hadjiyannakis S, Gougeon R, et al. Effects of aerobic training, resistance training, or both on psychological health in adolescents with obesity: the HEARTY randomized controlled trial. J Consult Clin Psychol. (2015) 83:1123–35. doi: 10.1037/ccp0000038, PMID: [DOI] [PubMed] [Google Scholar]
  • 17.Jelalian E, Sato A, Hart CN. The effect of group-based weight control intervention on adolescent psychosocial outcomes: perceived peer rejection, social anxiety and self-concept. Child Health Care. (2011) 40:197–211. doi: 10.1080/02739615.2011.590391, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Jeong YJ, Hong SC, Lee MS, Park MC, Kim YK, Suh CM. Dance movement therapy improves emotional responses and modulates neurohormones in adolescents with mild depression. Int J Neurosci. (2005) 115:1711–20. doi: 10.1080/00207450590958574, PMID: [DOI] [PubMed] [Google Scholar]
  • 19.Luo L, Song N, Yang H, Huang J, Zhou L, Zhang L. Intervention effect of Long-term aerobic training on anxiety, depression, and sleep quality of middle school students with depression after COVID-19. Front Psych. (2021) 12:720833. doi: 10.3389/fpsyt.2021.720833, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Melnyk BM, Jacobson D, Kelly S, O'Haver J, Small L, Mays MZ. Improving the mental health, healthy lifestyle choices, and physical health of Hispanic adolescents: a randomized controlled pilot study. J Sch Health. (2009) 79:575–84. doi: 10.1111/j.1746-1561.2009.00451.x, PMID: [DOI] [PubMed] [Google Scholar]
  • 21.Nazari M, Shabani R, Dalili S. The effect of concurrent resistance-aerobic training on serum cortisol level, anxiety, and quality of life in pediatric type 1 diabetes. J Pediatr Endocrinol Metab. (2020) 33:599–604. doi: 10.1515/jpem-2019-0526, PMID: [DOI] [PubMed] [Google Scholar]
  • 22.Petty KH, Davis CL, Tkacz J, Young-Hyman D, Waller JL. Exercise effects on depressive symptoms and self-worth in overweight children: a randomized controlled trial. J Pediatr Psychol. (2009) 34:929–39. doi: 10.1093/jpepsy/jsp007, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Philippot A, Dubois V, Lambrechts K, Grogna D, Robert A, Jonckheer U, et al. Impact of physical exercise on depression and anxiety in adolescent inpatients: a randomized controlled trial. J Affect Disord. (2022) 301:145–53. doi: 10.1016/j.jad.2022.01.011, PMID: [DOI] [PubMed] [Google Scholar]
  • 24.Roh HT, Cho SY, So WY. Taekwondo training improves mood and sociability in children from multicultural families in South Korea: a randomized controlled pilot study. Int J Environ Res Public Health. (2018) 15:757. doi: 10.3390/ijerph15040757, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Romero-Pérez EM, González-Bernal JJ, Soto-Cámara R, González-Santos J, Tánori-Tapia JM, Rodríguez-Fernández P, et al. Influence of a physical exercise program in the anxiety and depression in children with obesity. Int J Environ Res Public Health. (2020) 17:4655. doi: 10.3390/ijerph17134655, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Roth DL, Holmes DS. Influence of aerobic exercise training and relaxation training on physical and psychologic health following stressful life events. Psychosom Med. (1987) 49:355–65. doi: 10.1097/00006842-198707000-00004, PMID: [DOI] [PubMed] [Google Scholar]
  • 27.Silva LAD, Doyenart R, Henrique Salvan P, Rodrigues W, Felipe Lopes J, Gomes K, et al. Swimming training improves mental health parameters, cognition and motor coordination in children with attention deficit hyperactivity disorder. Int J Environ Health Res. (2020) 30:584–92. doi: 10.1080/09603123.2019.1612041, PMID: [DOI] [PubMed] [Google Scholar]
  • 28.Talakoub S, Gorbani S, Hasanpour M, Zolaktaf V, Amini M. Impact of exercise on affective responses in female adolescents with type I diabetes. Iran J Nurs Midwifery Res. (2012) 17:434–9. [PMC free article] [PubMed] [Google Scholar]
  • 29.Wagener TL, Fedele DA, Mignogna MR, Hester CN, Gillaspy SR. Psychological effects of dance-based group exergaming in obese adolescents. Pediatr Obes. (2012) 7:e68–74. doi: 10.1111/j.2047-6310.2012.00065.x, PMID: [DOI] [PubMed] [Google Scholar]
  • 30.Weintraub DL, Tirumalai EC, Haydel KF, Fujimoto M, Fulton JE, Robinson TN. Team sports for overweight children: the Stanford sports to prevent obesity randomized trial (SPORT). Arch Pediatr Adolesc Med. (2008) 162:232–7. doi: 10.1001/archpediatrics.2007.43, PMID: [DOI] [PubMed] [Google Scholar]
  • 31.Williams CF, Bustamante EE, Waller JL, Davis CL. Exercise effects on quality of life, mood, and self-worth in overweight children: the SMART randomized controlled trial. Transl Behav Med. (2019) 9:451–9. doi: 10.1093/tbm/ibz015, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Feng B, Luo F, Chen Y, Zhao Y, Wang P, Bao R. Exploring the sports participation, muscle-strengthening exercise and active commuting with comorbidity of depression and anxiety among Chinese children and adolescents: a cross-sectional study. Front Psychol. (2024) 15:1338190. doi: 10.3389/fpsyg.2024.1338190, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Philippot A, Dubois V, Lambrechts K, Grogna D, Robert A, Jonckheer U, et al. Data on the impact of physical exercise treatment on depression and anxiety in a psychiatric hospital for adolescents. Data Brief. (2022) 42:108165. doi: 10.1016/j.dib.2022.108165, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Philippot A, Meerschaut A, Danneaux L, Smal G, Bleyenheuft Y, De Volder AG. Impact of physical exercise on symptoms of depression and anxiety in pre-adolescents: a pilot randomized trial. Front Psychol. (2019) 10:1820. doi: 10.3389/fpsyg.2019.01820, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Chen L, Liu Q, Xu F, Wang F, Luo S, An X, et al. Effect of physical activity on anxiety, depression and obesity index in children and adolescents with obesity: a meta-analysis. J Affect Disord. (2024) 354:275–85. doi: 10.1016/j.jad.2024.02.092, PMID: [DOI] [PubMed] [Google Scholar]
  • 36.Sampasa-Kanyinga H, Colman I, Goldfield GS, Janssen I, Wang JL, Podinic I, et al. Combinations of physical activity, sedentary time, and sleep duration and their associations with depressive symptoms and other mental health problems in children and adolescents: a systematic review. Int J Behav Nutr Phys Act. (2020) 17:72. doi: 10.1186/s12966-020-00976-x, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Herting MM, Chu X. Exercise, cognition, and the adolescent brain. Birth Defects Res. (2017) 109:1672–9. doi: 10.1002/bdr2.1178, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Crombie KM, O'Connor PJ. Exercise and anxiety. Curr Top Behav Neurosci. (2024) 67:199–222. doi: 10.1007/7854_2024_498 [DOI] [PubMed] [Google Scholar]
  • 39.Kandola A, Stubbs B. Exercise and anxiety. Adv Exp Med Biol. (2020) 1228:345–52. doi: 10.1007/978-981-15-1792-1_23, PMID: [DOI] [PubMed] [Google Scholar]
  • 40.Moylan S, Eyre HA, Maes M, Baune BT, Jacka FN, Berk M. Exercising the worry away: how inflammation, oxidative and nitrogen stress mediates the beneficial effect of physical activity on anxiety disorder symptoms and behaviours. Neurosci Biobehav Rev. (2013) 37:573–84. doi: 10.1016/j.neubiorev.2013.02.003, PMID: [DOI] [PubMed] [Google Scholar]
  • 41.Kuring JK, Mathias JL, Ward L, Tachas G. Inflammatory markers in persons with clinically-significant depression, anxiety or PTSD: a systematic review and meta-analysis. J Psychiatr Res. (2023) 168:279–92. doi: 10.1016/j.jpsychires.2023.10.009, PMID: [DOI] [PubMed] [Google Scholar]
  • 42.Parsons C, Roberts R, Mills NT. Review: inflammation and anxiety-based disorders in children and adolescents – a systematic review and meta-analysis. Child Adolesc Ment Health. (2021) 26:143–56. doi: 10.1111/camh.12434, PMID: [DOI] [PubMed] [Google Scholar]
  • 43.Alves JGB, Alves GV. Effects of physical activity on children's growth. J Pediatr. (2019) 95:72–8. doi: 10.1016/j.jped.2018.11.003, PMID: [DOI] [PubMed] [Google Scholar]
  • 44.Lee J. Influences of exercise interventions on overweight and obesity in children and adolescents. Public Health Nurs. (2021) 38:502–16. doi: 10.1111/phn.12862, PMID: [DOI] [PubMed] [Google Scholar]
  • 45.Fonseca-Junior SJ, Sá CG, Rodrigues PA, Oliveira AJ, Fernandes-Filho J. Physical exercise and morbid obesity: a systematic review. Arq Bras Cir Dig. (2013) 26:67–73. doi: 10.1590/s0102-67202013000600015 [DOI] [PubMed] [Google Scholar]
  • 46.Blumenthal JA, Babyak MA, Doraiswamy PM, Watkins L, Hoffman BM, Barbour KA, et al. Exercise and pharmacotherapy in the treatment of major depressive disorder. Psychosom Med. (2007) 69:587–96. doi: 10.1097/PSY.0b013e318148c19a, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Gujral S, Aizenstein H, Reynolds CF, 3rd, Butters MA, Erickson KI. Exercise effects on depression: possible neural mechanisms. Gen Hosp Psychiatry. (2017) 49:2–10. doi: 10.1016/j.genhosppsych.2017.04.012, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Nieuwenhuijsen K, Verbeek JH, Neumeyer-Gromen A, Verhoeven AC, Bültmann U, Faber B. Interventions to improve return to work in depressed people. Cochrane Database Syst Rev. (2020) 10:Cd006237. doi: 10.1002/14651858.CD006237.pub4, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Korczak DJ, Madigan S, Colasanto M. Children's physical activity and depression: a Meta-analysis. Pediatrics. (2017) 139:e20162266. doi: 10.1542/peds.2016-2266, PMID: [DOI] [PubMed] [Google Scholar]
  • 50.Smith AR, Fink EL, Anestis MD, Ribeiro JD, Gordon KH, Davis H, et al. Exercise caution: over-exercise is associated with suicidality among individuals with disordered eating. Psychiatry Res. (2013) 206:246–55. doi: 10.1016/j.psychres.2012.11.004, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Capron DW, Cougle JR, Ribeiro JD, Joiner TE, Schmidt NB. An interactive model of anxiety sensitivity relevant to suicide attempt history and future suicidal ideation. J Psychiatr Res. (2012) 46:174–80. doi: 10.1016/j.jpsychires.2011.10.009, PMID: [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.

Supplementary Materials

Data_Sheet_1.docx (12.6KB, docx)
Data_Sheet_2.docx (20.7KB, docx)

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.


Articles from Frontiers in Public Health are provided here courtesy of Frontiers Media SA

RESOURCES