Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2024 Jun 12;14:13495. doi: 10.1038/s41598-024-63166-w

Effects of weight loss intervention on anxiety, depression and quality of life in women with severe obesity and polycystic ovary syndrome

Josefin Kataoka 1,2, Marie Olsson 3, Eva Lindgren 3, Ingrid Larsson 4,5, Johanna Schmidt 6, Anna Benrick 1,7, Elisabet Stener-Victorin 3,
PMCID: PMC11169487  PMID: 38866860

Abstract

Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women that is associated with an increased risk of anxiety and depression and with a lower health-related quality of life (HRQoL). PCOS is closely associated with obesity, which per se can lead to symptoms of anxiety and depression and lower HRQoL. The first-line treatment for PCOS is weight loss through lifestyle intervention, which has been shown to improve all symptoms of the syndrome. The aim of this study was to investigate symptoms of anxiety and depression and HRQoL in women with severe obesity (BMI ≥ 35) with and without PCOS, and to evaluate the effect of a one-year structured weight loss intervention. A total of 246 women with severe obesity (PCOS n = 63, non-PCOS n = 183) were included. The comprehensive psychopathological rating scale self-rating scale for affective symptoms (CPRS-S-A) and the short form-36 (SF-36) were used to assess symptoms of anxiety and depression and HRQoL. In total 72 women of the 246 women with severe obesity completed a one-year weight loss programme and were followed up and compared with baseline data. In women with severe obesity, there were no differences in symptoms of anxiety and depression and HRQoL between women with and without PCOS at baseline. Clinically relevant anxiety symptoms were present in 71.3% (PCOS) and 65.6% (non-PCOS), and depression symptoms were present in 56.4% (PCOS) and 52.2% (non-PCOS). Significant weight loss improved physical HRQoL in all women, but reduced symptoms of anxiety and depression only in women without PCOS. There were no differences when comparing the changes between the groups. Women with severe obesity are severely affected by symptoms of anxiety and depression, independent of PCOS. Weight loss improved symptoms of anxiety and depression in women without PCOS, but there were no differences between groups in change from baseline to follow-up.

Trial registration number: Clinical trial.gov: NCT01319162, March 18, 2011. Date of registration and enrolment of the first subject September 2011.

Keywords: Polycystic ovary syndrome, Severe obesity, Health-related quality of life, Anxiety, Depression, Weight loss

Subject terms: Psychology, Human behaviour, Endocrine reproductive disorders

Introduction

Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women of reproductive age in which the main feature of the syndrome is hyperandrogenism. Clinical features associated with PCOS are hirsutism, oligo- or anovulation and polycystic ovarian morphology. Associated comorbidities with PCOS include infertility, type 2 diabetes and cardiovascular disease1,2. It is known that women with PCOS, regardless of BMI, have more symptoms of anxiety and depression and lower health-related quality of life (HRQoL) than women without the syndrome38. Overweight or obesity is present in the majority of women with PCOS, and exacerbates all symptoms of the syndrome9. According to genetic studies, obesity is considered causal for PCOS10,11. Obesity in itself is associated with anxiety and depression and lower HRQoL12,13, with a correlation found between increasing BMI and reduced HRQoL and symptoms of anxiety and depression5,14,15. The main treatment for PCOS is weight loss through lifestyle modification, which has been shown to improve all symptoms1517. There are many studies on women with PCOS with BMI < 35, but there few studies on PCOS in women with severe obesity (BMI ≥ 35).

The primary aim of this study was to determine in women with severe obesity; whether women with PCOS have more symptoms of anxiety and depression and lower HRQoL than women without PCOS, and to examine the effect of a one-year structured weight loss intervention on HRQoL and symptoms of anxiety and depression. The second aim was to determine how symptoms of anxiety and depression and HRQoL differ across BMI categories, using data from previous studies conducted by the lab that included women with a wide range of BMI1821.

Participants and methods

Data from four studies conducted in Sweden have been used for this study1821. All patients received oral and written information about the study and signed an informed consent allowing their data to be used in research.

The main study (Study 1)18, was a prospective clinical study, including women with severe obesity (BMI ≥ 35), referred for weight reduction to the obesity unit at Sahlgrenska University Hospital between 2011 and 2016. Participants in the main study were screened for PCOS using the National Institutes of Health (NIH)-criteria 22,were assessed with measurements of body composition, blood sampling for hormone analyses, and answered questionnaires. All women in the main study started a 12-month structured weight loss intervention including a very low-energy diet, as described below. After 12 months, baseline measurements were assessed in those who completed the intervention.

Three further studies (Study 2–4)1921 included women in different BMI-categories, aged 18–38 years, recruited from the community between 2005 and 2013, where participants were screened for PCOS with the Rotterdam-criteria23.

Data collection

Data was collected at baseline in Study 1–4, and at twelve months in Study 1.

Anthropometry and biochemistry

The studies collected body weight and height data, blood samples for analyses of testosterone (T) and sex hormone binding globulin (SHBG), retrospective self-reported menstrual data, and assessment of hirsutism with the Ferriman-Gallwey (FG)-score. Blood samples were analysed at the ISO-accredited laboratory (ISO 15,189:2012, ISO 22,870:2016) at Sahlgrenska University Hospital, Gothenburg, Sweden. Testosterone was measured with electrochemiluminiscent immunoassay with competitive analysis (ECLIA) (COBAS 8000 Roche Diagnostics Scandinavia AB, Sweden). The coefficient of variation (CV) was 6% at 2.0 nmol/L. The lower detection limit was 0.4 nmol/L. BMI was calculated using weight in kilos, divided with squared height in meters. Free testosterone (fT) was calculated using total testosterone and SHBG assuming a fixed albumin concentration of 4.3 g/liter24

Questionnaires

To assess symptoms of anxiety and depression the Comprehensive Psychopathological Rating Scale Self-rating Scale for affective symptoms (CPRS-S-A) was used. It is a well established questionnaire used in research and clinical practice for defining symptoms of anxiety and depression and to evaluate treatment25. The questionnaire contains 19 domains designed to measure symptoms of depression, anxiety, and obsessive–compulsive syndrome, where sensitivity to the latter is lower and therefore not used in this study. From CPRS-S-A, the subscales Brief Scale for Anxiety-self-rating (BSA-S) and Montgomery Åsberg Depression Rating Scale- self-rating (MADRS-S) are extracted and measure symptoms of anxiety (BSA-S) and depression (MADRS-S)25,26. These scales consist of nine domains each, of which two are present in both scales. All domains are rated on a six-point scale where 0 represents absence of symptoms, 2 represents a potentially pathological deviation, 4 represents a pathological condition, and 6 represents an extremely pathological condition. Domain ratings are summed to obtain a score with a maximum of 54 for each scale. To evaluate clinically relevant symptoms of anxiety and depression, a cut-off score ≥ 11 in each scale was used, a value which has been shown to discriminate health from disease2729.

HRQoL is a quantitative score used to describe a persons health status, including physical and mental health. Here we used the short form-36 (SF-36) which is a validated questionnaire, widely used in research and clinical practice30. It was developed to assess a persons perception of how their health has affected their physical, mental, and social functioning over the past four weeks. The SF-36 is divided into eight domains and each domain is scored from 0 to 100, with 0 being the worst possible health quality, and 100 being the best possible health quality. Two summary scores are obtained:

the sum for the physical component (PCS) and the sum for the mental component (MCS) score, which we refer to as physical and mental HRQoL respectively.

Intervention

The women in Study 1 began a 12-month structured weight loss intervention with a very low energy diet (VLED). The first 12 weeks consisted of a liquid diet of 450–800 kcal/day, followed by the reintroduction of solid foods according to a pre-calculated plan. During the intervention, all participants had regular meetings with nurses and dietitians who monitored wellbeing and weight and provided support and advice on dietary adherence. The details of the intervention have been described previously18. There was no planned psychological follow-up for the participants. However, all participants had an appointment with a doctor who could refer those who needed psychological help to appropriate care.

Statistical analyses

SPSS 27.0 was used for statistical analyses. All data is presented as mean ± standard deviation (SD). The Mann–Whitney U-test was used to compare women with and without PCOS at baseline. Adjustment for age or BMI was calculated with ANCOVA. The Wilcoxon signed-rank test was used to analyze within-group changes from baseline to post intervention. In women with severe obesity, the Chi-2 test was used to compare rates of clinically relevant symptoms of anxiety and depression. Correlation analyses were made using Spearman’s rank correlation test. P < 0.05 was considered significant.

Ethical approval and consent to participate

The included studies were performed in accordance with the Declaration of Helsinki. Ethical approval for the four studies included was received from the Ethics Committee, University of Gothenburg, Gothenburg, Sweden with the DNR-number 106-11, 679-08, 520-11 and 307-05, respectively. All participants gave their oral and written informed consent to participate in the study.

Results

Study 1: women with severe obesity

Baseline

In total, 246 women with severe obesity were included (PCOS n = 63, non-PCOS n = 183). Mean BMI was 39.9 ± 4.7 (PCOS) and 39.6 ± 4.7 (non-PCOS). Compared to women without PCOS, women with PCOS were younger (PCOS 33.0 ± 8.3 and non-PCOS 37.9 ± 8.2), and therefore all analyses were adjusted for age. Women with PCOS had higher circulating free testosterone and fasting insulin, more hirsutism as measured with a higher Ferriman-Gallwey score, and lower circulating SHBG18. There were no differences in symptoms of anxiety and depression between women with and without PCOS (Table 1). At baseline, clinically relevant anxiety symptoms (BSA-S score ≥ 11) were present in 71.3% of women with PCOS and 65.5% of women without PCOS, with no differences between groups (p = 0.256). Clinically relevant symptoms of depression (MADRS-S score ≥ 11) were present in 56.4% of women with PCOS and 52.2% of women without PCOS, with no differences between groups (p = 0.464). Moreover, there were no differences in the physical component (PCS) or the mental component (MCS) score of the SF-36 when comparing women with and without PCOS (Table 2).

Table 1.

Symptoms of anxiety and depression in women with severe obesity (BMI ≥ 35) with and without PCOS at baseline.

PCOS n = 63 Non-PCOS n = 183 P-value P-value adjusted for age
 BSA-S sum total 17.5 ± 8.3 16.8 ± 9.3 0.559 0.826
1. Feelings of unease 2.3 ± 1.5 2.1 ± 1.6 0.214 0.505
2. Irritability and anger 2.2 ± 1.6 2.1 ± 1.5 0.345 0.458
3. Sleep 2.5 ± 1.6 2.2 ± 1.6 0.209 0.126
4. Concern for health 1.7 ± 1.6 1.8 ± 1.7 0.750 0.359
5. Worry over trifles 2.1 ± 1.5 2.0 ± 1.8 0.823 0.732
6. Phobias 1.6 ± 1.6 1.6 ± 1.7 0.750 0.531
7. Physical discomfort 2.1 ± 1.6 2.0 ± 1.6 0.321 0.591
8. Aches and pains/Muscular tension 2.5 ± 1.5 2.7 ± 1.7 0.529 0.951
9. Panic attacks 0.5 ± 1.1 0.5 ± 1.1 0.637 0.737
 MADRS-S sum total 14.7 ± 8.9 13.8 ± 9.1 0.531 0.597
1. Mood 1.3 ± 1.6 1.1 ± 1.3 0.645 0.386
2. Feelings of unease 2.3 ± 1.5 2.1 ± 1.6 0.214 0.505
3. Sleep 2.5 ± 1.6 2.2 ± 1.6 0.209 0.126
4. Appetite 0.7 ± 1.4 0.6 ± 1.2 0.933 0.764
5. Ability to concentrate 1.7 ± 1.4 1.7 ± 1.7 0.612 0.844
6. Initiative 1.7 ± 1.6 1.8 ± 1.7 0.765 0.843
7. Emotional involvement 1.2 ± 1.2 1.2 ± 1.2 0.649 0.812
8. Pessimism 2.5 ± 1.5 2.4 ± 1.6 0.622 0.560
9. Zest for life 0.8 ± 1.3 0.7 ± 1.2 0.877 0.986

Values are presented as means ± SD. P-value is calculated using Mann–Whitney U-test and p-value adjusted for age is calculated with ANCOVA. P < 0.05 was considered statistically significant. Statically significant P-values and summary scores on depression and anxiety are presented in bold.

Abbreviations: BMI, Body Mass Index; MADRS-S, Montgomery Åsberg Depression Rating Scale-self-rating; BSA-S, Brief Scale for Anxiety-self-rating.

Subscales BSA-S for anxiety and MADRS-S for depression, score range 0–54 where 0 represents the absence of symptoms.

Table 2.

Health Related Quality of Life (HRQoL) was assessed with SF-36 in women with severe obesity (BMI ≥ 35) with and without PCOS at baseline.

PCOS n = 63 Non-PCOS n = 183 P-value P-value adjusted for age
Physical function 67.9 ± 20.6 65.6 ± 22.9 0.568 0.984
Role physical 59.5 ± 40.8 56.3 ± 38.4 0.594 0.868
Bodily pain 50.2 ± 22.7 51.6 ± 27.2 0.998 0.376
General health 43.1 ± 21.4 46.8 ± 22.4 0.301 0.124
Vitality 36.0 ± 22.6 34.4 ± 21.4 0.678 0.937
Social functioning 64.8 ± 26.7 61.7 ± 26.2 0.302 0.480
Role emotional 53.6 ± 40.3 59.4 ± 43.8 0.358 0.372
Mental health 56.1 ± 22.0 58.4 ± 21.1 0.576 0.520
Physical component score (PCS) 40.3 ± 9.3 39.2 ± 11.1 0.457 0.891
Mental component score (MCS) 36.4 ± 14.2 37.7 ± 12.7 0.537 0.646

Values are presented as means ± SD. P-value is calculated using Mann–Whitney U-test and p-value adjusted for age is calculated with ANCOVA. P < 0.05 was considered statistically significant. Summary domains are present in bold. Abbreviations: BMI, Body Mass Index; SF-36, Short form -36.

Score range 0–100 (low to high HRQoL).

After 12-months intervention

At 12 months, 73 women remained for follow-up (PCOS n = 16, non-PCOS n = 57). Comparing those who dropped out of the study with those who completed the study, there were no differences regarding symptoms of anxiety (p = 0.601) and depression (p = 0.590) or mental (p = 0.404) and physical (p = 0.600) quality of life. Women with and without PCOS lost weight (PCOS: 105.3 ± 13.8 kg to 92.9 ± 14.8 P = 0.001, non-PCOS 111.7 ± 15.3 kg to 98.2 ± 15.2 kg P < 0.001) and decreased in BMI (PCOS: 38.6 ± 2.3 to 33.7 ± 4.0 p = 0.001, non-PCOS: 39.6 ± 4.3 to 35.0 ± 5.4 p < 0.001). Mean weight loss after 12 months was approximately 12% in both groups. Women without PCOS had decreased free testosterone and increased SHBG, whereas women with PCOS did not change18. Women with PCOS improved in the emotional involvement domain of CPRS-S-A, but not in the total scores of symptoms of anxiety (BSA-S) and depression (MADRS-S) (Table 3). Women without PCOS improved in both total scores of symptoms of anxiety (BSA-S), and total scores of symptoms of depression (MADRS-S) (Table 3).

Table 3.

Symptoms of anxiety and depression in women with severe obesity (BMI ≥ 35) with and without PCOS before and after weight reduction program.

PCOS n = 16 non-PCOS n = 57
Before After P-value Before After P-value P- change
 BSA-S sum total 14.9 ± 8.4 14.4 ± 9.1 0.887 17.7 ± 9.6 13.7 ± 9.1  < 0.001 0.095
1. Feelings of unease 2.4 ± 1.9 2.3 ± 2.0 0.753 2.2 ± 1.6 1.5 ± 1.5 0.001
2. Irritability and anger 1.7 ± 1.3 1.9 ± 1.3 0.435 2.0 ± 1.5 1.8 ± 1.6 0.362
3. Sleep 2.6 ± 1.4 2.0 ± 1.5 0.250 2.3 ± 1.5 2.0 ± 1.6 0.156
4. Concern for health 1.2 ± 1.7 1.1 ± 1.1 0.809 2.0 ± 1.9 1.3 ± 1.4 0.014
5. Worry over trifles 1.6 ± 1.7 1.8 ± 2.1 0.554 2.1 ± 1.8 1.6 ± 1.4 0.024
6. Phobias 1.6 ± 2.0 1.2 ± 1.6 0.230 1.5 ± 1.6 1.2 ± 1.7 0.235
7. Physical discomfort 1.6 ± 1.6 2.0 ± 1.8 0.167 2.2 ± 1.6 1.7 ± 1.8 0.030
8. Aches and pains, muscular tension 2.1 ± 1.3 1.9 ± 1.7 0.721 2.9 ± 1.7 2.2 ± 1.9 0.001
9. Panic attacks 0.3 ± 0.7 0.3 ± 0.9 0.785 0.5 ± 1.2 0.5 ± 1.1 0.776
 MADRS-S sum total 12.9 ± 9.2 11.1 ± 8.3 0.163 15.0 ± 9.4 10.4 ± 8.2  < 0.001 0.371
1. Mood 0.8 ± 0.9 0.5 ± 0.9 0.482 1.2 ± 1.4 0.7 ± 1.1 0.003
2. Feelings of unease 2.4 ± 1.9 2.3 ± 2.0 0.753 2.2 ± 1.6 1.5 ± 1.5 0.001
3. Sleep 2.6 ± 1.4 2.0 ± 1.5 0.250 2.3 ± 1.5 2.0 ± 1.6 0.156
4. Appetite 0.5 ± 1.2 0.6 ± 1.3 0.492 0.8 ± 1.4 0.4 ± 0.8 0.019
5. Ability to concentrate 1.3 ± 1.5 1.6 ± 1.9 0.399 1.9 ± 1.7 1.4 ± 1.4 0.021
6. Initiative 1.7 ± 1.4 1.1 ± 1.0 0.067 1.9 ± 1.6 1.2 ± 1.4 0.001
7. Emotional involvement 1.1 ± 1.2 0.6 ± 0.9 0.013 1.3 ± 1.3 1.0 ± 1.1 0.105
8. Pessimism 2.0 ± 1.4 1.9 ± 1.9 0.690 2.6 ± 1.6 1.8 ± 1.5 0.001
9. Zest for life 0.6 ± 1.1 0.5 ± 1.0 0.414 0.8 ± 1.2 0.5 ± 0.9 0.096

Values are presented as means ± SD. P-value is calculated on values before and after weight reduction program in groups using Wilcoxon signed ranks test. P < 0.05 was considered statistically significant. P-change is comparing change (delta value) between groups and calculated using Mann–Whitney-U test. Statistically significant P-values and summary score on depression and anxiety are presented in bold.

Abbreviations: BMI, Body Mass Index; BSA-S, Brief Scale for Anxiety-self-rating, MADRS-S, Montgomery Åsberg Depression Rating Scale-self-rating.

Women with and without PCOS improved in the physical function domain of SF-36 and in the computed summary score for PCS, but not in the computed summary score for MCS (Table 4).

Table 4.

Health Related Quality of Life (HRQoL) was assessed with SF-36 in women with severe obesity (BMI ≥ 35) with and without PCOS before and after weight reduction program.

PCOS n = 16 Non-PCOS n = 57 P-value change
Before After P-value Before After P-value
Physical function 65.0 ± 23.4 84.7 ± 19.2 0.001 65.2 ± 21.7 76.0 ± 21.4  < 0.001
Role physical 73.4 ± 34.7 70.3 ± 39.0 0.810 51.8 ± 39.2 68.9 ± 38.35 0.012
Bodily pain 54.9 ± 24.5 66.3 ± 29.6 0.156 48.1 ± 28.2 61.9 ± 30.2 0.001
General health 52.9 ± 16.5 64.4 ± 24.9 0.052 44.7 ± 22.7 59.5 ± 21.5  < 0.001
Vitality 38.4 ± 24.7 45.9 ± 28.4 0.208 33.7 ± 18.3 48.5 ± 23.1  < 0.001
Social functioning 77.3 ± 22.0 74.2 ± 26.0 0.569 58.6 ± 26.8 71.2 ± 24.3 0.004
Role emotional 58.3 ± 41.3 52.1 ± 48.6 0.679 61.7 ± 37.5 70.2 ± 44.0 0.161
Mental health 62.3 ± 18.6 63.5 ± 21.3 0.655 55.9 ± 20.1 66.6 ± 18.1  < 0.001
Physical component score (PCS) 41.5 ± 8.5 49.6 ± 8.8 0.011 38.7 ± 12.0 44.5 ± 10.9 0.001 0.439
Mental component score (MCS) 39.9 ± 13.9 38.1 ± 14.5 0.605 37.4 ± 12.2 41.3 ± 12.7 0.074 0.215

Values are presented as means ± SD. P-value is calculated on values before and after weight reduction program in groups using Wilcoxon signed ranks test. P < 0.05 was considered statistically significant. P-change is comparing change (delta value) between groups and calculated using Mann–Whitney-U test. Statistically significant P-values and summary domains are presented in bold.

Abbreviations: BMI, Body Mass Index; SF-36, Short form-36.

Score range 0–100 (low to high HRQoL).

Study 1–4: women in a wide range of BMI-groups

Using the combined data (n = 407) from women with severe obesity (Study 1), with three earlier studies (Study 2–4)1921, HRQoL and symptoms of anxiety and depression were determined in women with and without PCOS (PCOS n = 179, non-PCOS n = 228) with BMI ranging from 18.2 to 58.7 kg/m2.

Women with PCOS with normal weight and overweight had more symptoms of depression and lower MCS compared to women without PCOS, and women with normal weight and PCOS had more symptoms of anxiety compared to women without PCOS (Fig. 1A-C). In women with obesity and severe obesity, there were no differences between groups regarding symptoms of anxiety and depression, or MSC (Fig. 1A-B). Of note, in women with obesity, those without PCOS had a lower PCS (Fig. 1D).

Figure 1.

Figure 1

A-D Symptoms of (A) anxiety and (B) depression and (C) physical and (D) mental HRQoL in women with and without PCOS in different weight categories. Values are presented as mean ± SD. P-value is calculated using Mann–Whitney U-test and p-value adjusted for age and BMI is calculated with ANCOVA. P < 0.05 was considered statistically significant.

Correlation analyses were performed including all women, independent of PCOS diagnosis, with BMI < 30 and BMI ≥ 30 separated. In women with BMI < 30, FG-score was positively associated with symptoms of anxiety (rs = 0.366, p < 0.01) and depression (rs = 0.326, p < 0.01), and negatively associated with PCS (rs = − 0.207, p < 0.05) and MCS (rs = − 0.452, p < 0.01). Insulin was positively correlated to anxiety (rs =0.222, p<0.05) and depression (r = 0.220, p < 0.05) and negatively correlated with PCS (rs =-0.326, p < 0.01).

In women with BMI ≥ 30 there was a negative association between symptoms of anxiety and depression and free testosterone (rs = − 0.131 and rs = -0.144, p < 0.05), a positive correlation between symptoms of anxiety and depression and insulin (rs = 0.127 and rs = 0.116, p < 0.05), and a negative correlation between FG score and MCS (rs = − 0.124, p < 0.05).

In women with PCOS and BMI < 30 free testosterone was positively correlated to MCS (rs = 0.282, p < 0.01, and insulin was negatively correlated to PCS (− 0.311, p < 0.05).

Discussion

Women with PCOS report more symptoms of anxiety and depression and a lower HRQoL than women without PCOS. Previous studies have found an association between increasing BMI and a lower HRQoL and more symptoms of anxiety and depression in women with PCOS5,14,31.

We found that women with PCOS with had more symptoms of anxiety and depression compared to women without PCOS, only for those with normal weight and overweight, with no differences for women with obesity or severe obesity. The lack of difference in the latter BMI groups is likely due to the fact that obesity per se affects HRQoL and symptoms of anxiety and depression. The results from this part of the study confirm and extend the findings of previous studies indicating symptoms of anxiety and depression and lower HRQoL are more common in normal-weight and overweight women with PCOS than in women without PCOS36. This contrasts with a meta-analysis in which women with PCOS had more symptoms of anxiety and depression and lower HRQoL than controls after adjustment for BMI5. The finding is however consistent with a recent study in women with severe obesity, in which women with and without PCOS did not differ in HRQoL32.

In all women with normal weight and overweight, independent of PCOS-diagnosis, FG-score was associated with symptoms of anxiety and depression, whereas in all women with obesity and severe obesity, free testosterone was negatively associated with symptoms of anxiety and depression. Similar findings have been reported, where more depressive symptoms in women with PCOS correlated to lower levels of fT33,34. Further, insulin was positively correlated to symptoms of anxiety and depression regardless of BMI. Previous studies have reported that neuropsychiatric issues such as anxiety and depressive behavior are common factors in patients with metabolic disease35, and that insulin is correlated to depressive symptoms36. This has also been shown in women with PCOS37, but the exact mechanism is not fully understood. The amygdala is a region in the brain that regulates emotional memory, anxiety, and cognitive function38. Since insulin was positively associated with symptoms of anxiety and depression, we hypothesize that insulin resistance can have effects in the amygdala. Moreover, brain insulin resistance has been shown to alter dopamine turnover and induce anxiety- and depressive-like behaviors in mice39. Insulin-sensitizing medications have been used in psychiatric practice to treat weight gain and other metabolic side effects that accompany the use of some antidepressant SSRI drugs40. Interestingly, recent studies show that metformin and glitazones can cause improvement in mental health4042.

An important finding of this study is that women with severe obesity are strongly affected by symptoms of anxiety and depression. In women with severe obesity, regardless of PCOS diagnosis, the mean anxiety score was 17–18, and mean depression score was 14–15, which is higher than the mean score in the general population. In the general population, mean anxiety score is around 4 and the mean depression score is around 327,29.

The majority of women with severe obesity in the present study had clinically relevant symptoms of anxiety and depression symptoms with a score in BSA-S or MADRS-S of 11 or more27,29. Women with severe obesity, regardless of PCOS diagnosis, had mean physical and mental HRQoL scores in the range of 35–40, which is lower than those in the general Swedish female population, who have mean scores of around 5046. These results are consistent with previous findings showing that obesity per se is associated with symptoms of anxiety and depression and impaired HRQoL12,13.

The structured weight loss intervention resulted in an average weight loss of about 12% in women with severe obesity both with and without PCOS18, with no difference between groups. This is a larger weight loss than the 5–10% in previous studies that have been shown to alleviate the symptoms of PCOS47. In women with PCOS and severe obesity, there were no improvements in symptoms of anxiety and depression after the intervention, which contradicts the results of previous studies14,48. Of note, symptoms of anxiety and depression improved only in women without PCOS. All women improved in physical but not mental HRQoL, although women without PCOS improved in several domains. These findings are in contrast to previous studies on women with obesity and PCOS, in which weight loss led to improvement in several domains of the SF-3615,49. However, a more recent study of HRQoL in women with severe obesity showed no difference in improvement between women with and without PCOS after weight loss50.

The mechanisms of psychiatric symptoms in women with severe obesity without PCOS appear to be strongly related to obesity, so that weight loss is more favorable for these women. It is possible that in women with PCOS and severe obesity, a weight loss of about 12% is not enough to see an impact on mental HRQoL and symptoms of anxiety and depression. Another possibility is that multiple factors contribute to symptoms of anxiety and depression and lower HRQoL in women with PCOS and that additional treatment is needed to alleviate these symptoms and improve mental HRQoL. A recent randomized controlled trial investigating cognitive behavioural therapy in women with PCOS, showed both a reduction in symptoms of anxiety and depression and an improvement in HRQoL after treatment51. One important explanation why no improvements were observed in the women PCOS is the high proportion of dropouts in the women with PCOS.

Indeed, a limitation of this study is the high drop-out rate from the weight reduction program. Of the 246 women who started the program, only 73 remained until the follow-up examination. Therefore, caution is needed when interpreting the results of the intervention. The lack of improvement in women with PCOS may be due to the fact that only 16 women remained in this group at follow-up. Although the dropout rate was high compared to previous weight loss studies52, the dropouts did not differ in symptoms of anxiety and depression and HRQoL from those who adhered to the intervention. A further limitation is that women with severe obesity were recruited from an obesity center referred for weight loss support and could therefore be more affected by their obesity in terms of comorbidities. One particular strength of this study over previous work is the inclusion of women with PCOS in BMI-categories ranging from normal weight to severe obesity.

As recommended by the International PCOS guideline and Androgen Excess and PCOS Society in 2023, all women with PCOS should be screened for anxiety and depression53. The recommended treatment for women with severe obesity and PCOS is lifestyle changes leading to sustainable weight loss to improve physical HRQoL. However, a greater weight loss than the recommended 5–10%47,54 may be needed for women with PCOS and severe obesity to alleviate symptoms of anxiety and depression and to improve their mental HRQoL. Additional treatment for these symptoms should be considered.

Conclusions

In women with severe obesity, symptoms of anxiety, depression and HRQoL do not differ between women with and without PCOS. It is noteworthy that a high proportion of women with severe obesity suffer from clinically relevant anxiety and depression symptoms regardless of PCOS-status. After significant and similar weight loss in both groups, only women without PCOS improved in symptoms of anxiety and depression.

Abbreviations

PCOS

Polycystic ovary syndrome

HRQoL

Health related quality of life

BMI

Body mass index

NIH

National institutes of health

T

Testosterone

SHBG

Sex hormone binding globulin

FG-score

Ferriman–Gallwey-score

ECLIA

Electrochemiluminiscent immunoassay with competitive analysis

CPRS-S-A

Comprehensive Psychopathological Rating Scale (CPRS) Self-rating Scale for affective symptoms

fT

Free testosterone

BSA-S

Brief scale for anxiet-self-rating

MADRS-S

Montgomery Åsberg Depression Rating Scale-self-rating

PCS

Physical component summary score

MCS

Mental component summary score

VLED

Very low energy diet

SPSS

Statistical package for the social sciences

SD

Standard deviation

ANCOVA

Analysis of co-variance

Author contributions

J.K., I.L., J.S., E.S.V. contributed to the conception and design of the work. J.K., M.O., E.L., E.S.V. contributed to the acquisition and analysis and interpretation of data. J.K., M.O., I.L., J.S., A.B., E.S.V. contributed to drafting and revising of he manuscript. All authors read and approved the final manuscript and agreed to be personally accountable for their contributions.

Funding

Open access funding provided by Karolinska Institute. The work was supported by the Swedish Medical Research Council (Project No. 2022-00550); Novo Nordisk Foundation (NNF19OC0056647 and NNF22OC0072904 ESV); Diabetes Foundation (DIA2021-633); Strategic Research Programme (SRP) in Diabetes at Karolinska Institutet; the Regional Agreement on Medical Training and Clinical Research between the Stockholm County Council and the Karolinska Institutet ALFMedN 20190079 (all ESV), Skaraborgsinstitutet, Adlerbertska Reseach Foundation AF2021-0105, KVVS 2021-525 and 2022-592 (all AB) and Göteborgs Läkaresällskap Research grant for PhD-student (GLS 961123) (JK).

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author upon reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Escobar-Morreale HF. Polycystic ovary syndrome: definition, aetiology, diagnosis and treatment. Nat. Rev. Endocrinol. 2018;14(5):270–284. doi: 10.1038/nrendo.2018.24. [DOI] [PubMed] [Google Scholar]
  • 2.Joham AE, Norman RJ, Stener-Victorin E, Legro RS, Franks S, Moran LJ, et al. Polycystic ovary syndrome. Diabetes. 2022;10(9):668–680. doi: 10.1016/S2213-8587(22)00163-2. [DOI] [PubMed] [Google Scholar]
  • 3.Li Y, Li Y, Yu Ng EH, Stener-Victorin E, Hou L, Wu T, et al. Polycystic ovary syndrome is associated with negatively variable impacts on domains of health-related quality of life: Evidence from a meta-analysis. Fertility Sterility. 2011;96(2):452–458. doi: 10.1016/j.fertnstert.2011.05.072. [DOI] [PubMed] [Google Scholar]
  • 4.Månsson M, Holte J, Landin-Wilhelmsen K, Dahlgren E, Johansson A, Landén M. Women with polycystic ovary syndrome are often depressed or anxious–a case control study. Psychoneuroendocrinology. 2008;33(8):1132–1138. doi: 10.1016/j.psyneuen.2008.06.003. [DOI] [PubMed] [Google Scholar]
  • 5.Cooney LG, Lee I, Sammel MD, Dokras A. High prevalence of moderate and severe depressive and anxiety symptoms in polycystic ovary syndrome: A systematic review and meta-analysis. Hum. Reprod. (Oxford, England) 2017;32(5):1075–1091. doi: 10.1093/humrep/dex044. [DOI] [PubMed] [Google Scholar]
  • 6.Cesta CE, Månsson M, Palm C, Lichtenstein P, Iliadou AN. Polycystic ovary syndrome and psychiatric disorders: Co-morbidity and heritability in a nationwide Swedish cohort. Psychoneuroendocrinology. 2016;73:196–203. doi: 10.1016/j.psyneuen.2016.08.005. [DOI] [PubMed] [Google Scholar]
  • 7.Damone AL, Joham AE, Loxton D, Earnest A, Teede HJ, Moran LJ. Depression, anxiety and perceived stress in women with and without PCOS: A community-based study. Psychol. Med. 2019;49(9):1510–1520. doi: 10.1017/S0033291718002076. [DOI] [PubMed] [Google Scholar]
  • 8.Hollinrake E, Abreu A, Maifeld M, Van Voorhis BJ, Dokras A. Increased risk of depressive disorders in women with polycystic ovary syndrome. Fertility Sterility. 2007;87(6):1369–1376. doi: 10.1016/j.fertnstert.2006.11.039. [DOI] [PubMed] [Google Scholar]
  • 9.Hoeger KM. Obesity and lifestyle management in polycystic ovary syndrome. Clin. Obstet. Gynecol. 2007;50(1):277–294. doi: 10.1097/GRF.0b013e31802f54c8. [DOI] [PubMed] [Google Scholar]
  • 10.Brower MA, Hai Y, Jones MR, Guo X, Chen YI, Rotter JI, et al. Bidirectional Mendelian randomization to explore the causal relationships between body mass index and polycystic ovary syndrome. Hum. Reprod. 2019;34(1):127–136. doi: 10.1093/humrep/dey343. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Zhao Y, Xu Y, Wang X, Xu L, Chen J, Gao C, et al. Body mass index and polycystic ovary syndrome: A 2-sample bidirectional mendelian randomization study. J. Clin. Endocrinol. Metab. 2020;105(6):1778–1784. doi: 10.1210/clinem/dgaa125. [DOI] [PubMed] [Google Scholar]
  • 12.Fontaine KR, Barofsky I. Obesity and health-related quality of life. Obes. Rev. Off. J. Int. Assoc. Stud. Obes. 2001;2(3):173–182. doi: 10.1046/j.1467-789x.2001.00032.x. [DOI] [PubMed] [Google Scholar]
  • 13.Rajan TM, Menon V. Psychiatric disorders and obesity: A review of association studies. J. Postgrad. Med. 2017;63(3):182–190. doi: 10.4103/jpgm.JPGM_712_16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Dokras A, Stener-Victorin E, Yildiz BO, Li R, Ottey S, Shah D, et al. Androgen excess- polycystic ovary syndrome society: Position statement on depression, anxiety, quality of life, and eating disorders in polycystic ovary syndrome. Fertility Sterility. 2018;109(5):888–899. doi: 10.1016/j.fertnstert.2018.01.038. [DOI] [PubMed] [Google Scholar]
  • 15.Dokras A, Sarwer DB, Allison KC, Milman L, Kris-Etherton PM, Kunselman AR, et al. Weight loss and lowering androgens predict improvements in health-related quality of life in women with PCOS. J. Clin. Endocrinol. Metab. 2016;101(8):2966–2974. doi: 10.1210/jc.2016-1896. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Moran LJ, Ko H, Misso M, Marsh K, Noakes M, Talbot M, et al. Dietary composition in the treatment of polycystic ovary syndrome: a systematic review to inform evidence-based guidelines. J. Acad. Nutr. Diet. 2013;113(4):520–545. doi: 10.1016/j.jand.2012.11.018. [DOI] [PubMed] [Google Scholar]
  • 17.Moran LJ, Pasquali R, Teede HJ, Hoeger KM, Norman RJ. Treatment of obesity in polycystic ovary syndrome: a position statement of the androgen excess and polycystic ovary syndrome society. Fertility Sterility. 2009;92(6):1966–1982. doi: 10.1016/j.fertnstert.2008.09.018. [DOI] [PubMed] [Google Scholar]
  • 18.Kataoka J, Larsson I, Björkman S, Eliasson B, Schmidt J, Stener-Victorin E. Prevalence of polycystic ovary syndrome in women with severe obesity-effects of a structured weight loss programme. Clin. Endocrinol. (Oxf). 2019;91(6):750–758. doi: 10.1111/cen.14098. [DOI] [PubMed] [Google Scholar]
  • 19.Jedel E, Waern M, Gustafson D, Landen M, Eriksson E, Holm G, et al. Anxiety and depression symptoms in women with polycystic ovary syndrome compared with controls matched for body mass index. Hum. Reprod. 2010;25(2):450–456. doi: 10.1093/humrep/dep384. [DOI] [PubMed] [Google Scholar]
  • 20.Benrick A, Kokosar M, Hu M, Larsson M, Maliqueo M, Marcondes RR, et al. Autonomic nervous system activation mediates the increase in whole-body glucose uptake in response to electroacupuncture. Faseb. 2017;31(8):3288–3297. doi: 10.1096/fj.201601381R. [DOI] [PubMed] [Google Scholar]
  • 21.Johansson J, Redman L, Veldhuis PP, Sazonova A, Labrie F, Holm G, et al. Acupuncture for ovulation induction in polycystic ovary syndrome: a randomized controlled trial. Am. J. Physiol. Endocrinol. Metab. 2013;304(9):E934–E943. doi: 10.1152/ajpendo.00039.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.DA Zawadzki JK. Diagnostic Criteria for Polycystic Ovary Syndrome: Towards a Rational Approach. In: Dunaif A, Givens JR, Haseltine FP, Merriam GR, editors. Polycystic Ovary Syndrome. Blackwell Scientific; 1992. pp. 377–384. [Google Scholar]
  • 23.Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertility and sterility. 2004;81(1):19–25. [DOI] [PubMed]
  • 24.Vermeulen A, Verdonck L, Kaufman JM. A critical evaluation of simple methods for the estimation of free testosterone in serum. J. Clin. Endocrinol. Metab. 1999;84(10):3666–3672. doi: 10.1210/jcem.84.10.6079. [DOI] [PubMed] [Google Scholar]
  • 25.Svanborg P, Asberg M. A new self-rating scale for depression and anxiety states based on the comprehensive psychopathological rating scale. Acta Psychiatr. Scand. 1994;89(1):21–28. doi: 10.1111/j.1600-0447.1994.tb01480.x. [DOI] [PubMed] [Google Scholar]
  • 26.Svanborg P, Asberg M. A comparison between the Beck depression inventory (BDI) and the self-rating version of the montgomery asberg depression rating scale (MADRS) J. Affect. Disord. 2001;64(2–3):203–216. doi: 10.1016/S0165-0327(00)00242-1. [DOI] [PubMed] [Google Scholar]
  • 27.Schulte-van Maaren YW, Giltay EJ, van Hemert AM, Zitman FG, de Waal MW, Carlier IV. Reference values for anxiety questionnaires: the Leiden routine outcome monitoring study. J. Affect. Disord. 2013;150(3):1008–1018. doi: 10.1016/j.jad.2013.05.031. [DOI] [PubMed] [Google Scholar]
  • 28.Lim SS, Hutchison SK, Van Ryswyk E, Norman RJ, Teede HJ, Moran LJ. Lifestyle changes in women with polycystic ovary syndrome. Cochrane Database Syst. Rev. 2019;3(3):CD007506. doi: 10.1002/14651858.CD007506.pub4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Schulte-van Maaren YW, Carlier IV, Zitman FG, van Hemert AM, de Waal MW, van der Does AJ, et al. Reference values for major depression questionnaires: the Leiden routine outcome monitoring study. J. Affect. Disord. 2013;149(1–3):342–349. doi: 10.1016/j.jad.2013.02.009. [DOI] [PubMed] [Google Scholar]
  • 30.Special issue. Translating functional health and well-being: International Quality of Life Assessment (IQOLA) Project Studies of the SF-36 Health Survey. Issue dedicated to Denis Bucquet. J Clin Epidemiol. 51. United States1998. p. 891–1214. [PubMed]
  • 31.Behboodi Moghadam Z, Fereidooni B, Saffari M, Montazeri A. Measures of health-related quality of life in PCOS women: A systematic review. Int. J. Womens Health. 2018;10:397–408. doi: 10.2147/IJWH.S165794. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Wang Z, Groen H, Cantineau AEP, van Elten TM, Karsten MDA, van Oers AM, et al. Dietary intake, eating behavior, physical activity, and quality of life in infertile women with PCOS and obesity compared with non-PCOS obese controls. Nutrients. 2021;13(10):3526. doi: 10.3390/nu13103526. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Jedel E, Gustafson D, Waern M, Sverrisdottir YB, Landén M, Janson PO, et al. Sex steroids, insulin sensitivity and sympathetic nerve activity in relation to affective symptoms in women with polycystic ovary syndrome. Psychoneuroendocrinology. 2011;36(10):1470–1479. doi: 10.1016/j.psyneuen.2011.04.001. [DOI] [PubMed] [Google Scholar]
  • 34.Weiner CL, Primeau M, Ehrmann DA. Androgens and mood dysfunction in women: Comparison of women with polycystic ovarian syndrome to healthy controls. Psychosom. Med. 2004;66(3):356–362. doi: 10.1097/01.psy.0000127871.46309.fe. [DOI] [PubMed] [Google Scholar]
  • 35.van Reedt Dortland AK, Giltay EJ, van Veen T, Zitman FG, Penninx BW. Metabolic syndrome abnormalities are associated with severity of anxiety and depression and with tricyclic antidepressant use. Acta Psychiatr. Scand. 2010;122(1):30–39. doi: 10.1111/j.1600-0447.2010.01565.x. [DOI] [PubMed] [Google Scholar]
  • 36.Zou XH, Sun LH, Yang W, Li BJ, Cui RJ. Potential role of insulin on the pathogenesis of depression. Cell Prolif. 2020;53(5):e12806. doi: 10.1111/cpr.12806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Greenwood EA, Pasch LA, Cedars MI, Legro RS, Eisenberg E, Huddleston HG. Insulin resistance is associated with depression risk in polycystic ovary syndrome. Fertility Sterility. 2018;110(1):27–34. doi: 10.1016/j.fertnstert.2018.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Song J. Amygdala activity and amygdala-hippocampus connectivity: Metabolic diseases, dementia, and neuropsychiatric issues. Biomed. Pharmacother. 2023;162:114647. doi: 10.1016/j.biopha.2023.114647. [DOI] [PubMed] [Google Scholar]
  • 39.Kleinridders A, Cai W, Cappellucci L, Ghazarian A, Collins WR, Vienberg SG, et al. Insulin resistance in brain alters dopamine turnover and causes behavioral disorders. Proc. Natl. Acad. Sci. USA. 2015;112(11):3463–3468. doi: 10.1073/pnas.1500877112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Toba-Oluboka T, Vochosková K, Hajek T. Are the antidepressant effects of insulin-sensitizing medications related to improvements in metabolic markers? Transl. Psychiatry. 2022;12(1):469. doi: 10.1038/s41398-022-02234-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.AlHussain F, AlRuthia Y, Al-Mandeel H, Bellahwal A, Alharbi F, Almogbel Y, et al. Metformin improves the depression symptoms of women with polycystic ovary syndrome in a lifestyle modification program. Patient Prefer Adher. 2020;14:737–746. doi: 10.2147/PPA.S244273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Hahn S, Benson S, Elsenbruch S, Pleger K, Tan S, Mann K, et al. Metformin treatment of polycystic ovary syndrome improves health-related quality-of-life, emotional distress and sexuality. Hum. Reprod. 2006;21(7):1925–1934. doi: 10.1093/humrep/del069. [DOI] [PubMed] [Google Scholar]
  • 43.Duan X, Zhou M, Zhou G, Zhu Q, Li W. Effect of metformin on adiponectin in PCOS: A meta-analysis and a systematic review. Eur. J. Obstet. Gynecol. Reprod. Biol. 2021;267:61–67. doi: 10.1016/j.ejogrb.2021.10.022. [DOI] [PubMed] [Google Scholar]
  • 44.Kusminski CM, McTernan PG, Schraw T, Kos K, O'Hare JP, Ahima R, et al. Adiponectin complexes in human cerebrospinal fluid: distinct complex distribution from serum. Diabetologia. 2007;50(3):634–642. doi: 10.1007/s00125-006-0577-9. [DOI] [PubMed] [Google Scholar]
  • 45.Neumeier M, Weigert J, Buettner R, Wanninger J, Schäffler A, Müller AM, et al. Detection of adiponectin in cerebrospinal fluid in humans. Am. J. Physiol. Endocrinol. Metab. 2007;293(4):E965–E969. doi: 10.1152/ajpendo.00119.2007. [DOI] [PubMed] [Google Scholar]
  • 46.Sullivan M, Karlsson J, Taft C. SF-36 Hälsoenkät: Svensk Manual och tolkningsguide. 2:a upplagan (Swedish Manual and Interpretation Guide, 2nd Edition) ed: Gothenburg: Sahlgrenska University Hospital; 2002.
  • 47.Glueck CJ, Goldenberg N. Characteristics of obesity in polycystic ovary syndrome: Etiology, treatment, and genetics. Metab Clin. Experimental. 2019;92:108–120. doi: 10.1016/j.metabol.2018.11.002. [DOI] [PubMed] [Google Scholar]
  • 48.Gibson-Helm M, Teede H, Dunaif A, Dokras A. Delayed diagnosis and a lack of information associated with dissatisfaction in women with polycystic ovary syndrome. J. Clin. Endocrinol. Metab. 2017;102(2):604–612. doi: 10.1210/jc.2016-2963. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Thomson RL, Buckley JD, Lim SS, Noakes M, Clifton PM, Norman RJ, et al. Lifestyle management improves quality of life and depression in overweight and obese women with polycystic ovary syndrome. Fertility Sterility. 2010;94(5):1812–1816. doi: 10.1016/j.fertnstert.2009.11.001. [DOI] [PubMed] [Google Scholar]
  • 50.Wang Z, Groen H, Cantineau AEP, van Elten TM, Karsten MDA, van Oers AM, et al. Effectiveness of a 6-month lifestyle intervention on diet, physical activity, quality of life, and markers of cardiometabolic health in women with PCOS and obesity and non-PCOS obese controls: One size fits all? Nutrients. 2021;13(10):3425. doi: 10.3390/nu13103425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Majidzadeh S, Mirghafourvand M, Farvareshi M, Yavarikia P. The effect of cognitive behavioral therapy on depression and anxiety of women with polycystic ovary syndrome: a randomized controlled trial. BMC Psychiatry. 2023;23(1):332. doi: 10.1186/s12888-023-04814-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Leung AWY, Chan RSM, Sea MMM, Woo J. An overview of factors associated with adherence to lifestyle modification programs for weight management in adults. Int. J. Environ. Res. Public Health. 2017;14(8):922. doi: 10.3390/ijerph14080922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Teede HJ, Tay CT, Laven JJE, Dokras A, Moran LJ, Piltonen TT, et al. Recommendations from the 2023 international evidence-based guideline for the assessment and management of polycystic ovary syndrome. J. Clin. Endocrinol. Metab. 2023;108(10):2447–2469. doi: 10.1210/clinem/dgad463. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Ryan DH, Yockey SR. Weight loss and improvement in comorbidity: differences at 5%, 10%, 15%, and over. Curr. Obes. Rep. 2017;6(2):187–194. doi: 10.1007/s13679-017-0262-y. [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

The datasets used and/or analysed during the current study are available from the corresponding author upon reasonable request.


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES