Management of Binge Eating Disorder in Polycystic Ovarian Syndrome using Different Modalities: A Randomised Controlled Trial

Introduction: Difficulty in losing weight is a major problem in binge eaters. It becomes catastrophic when it is concurrent with Polycystic Ovarian Syndrome (PCOS). Weight loss programs don’t benefit to cope with binge eating disorder and vice-versa; which is the most challenging component of weight management in PCOS females that manifest binge eating also. Aim: To develop a management strategy which can address binge eating and weight management in PCOS females. Materials and Methods: The present randomised, parallel group, active controlled trial was conducted from december 2021 to december 2022 in non-pregnant females of 18-45 years of age satisfying Rotterdam criteria of PCOS having BMI ≥18.5. Eating Disorder Diagnostic Scale (EDDS) was used as a screening tool. A total of 114 participants were randomised into two groups of 57 females each ,experimental group and control group control group (n=57). Experimental group performed aerobic exercises, resistance exercises, diet modifications and Rajyoga meditation while control group performed only diet modifications and Rajyoga meditation. Eligible and willing participants visiting Weight, height, waist circumference, hip circumference, Body-Mass Index (BMI), Waist-Hip Ratio (WHR), Eating Attitudes Test (EAT) score, Bulimic Investigatory Test, Edinburgh (BITE) severity score and BITE symptom score were assessed before start of intervention and after 12 weeks of intervention. Shapiro-Wilk test indicated data were nonnormally distributed. Within group analysis (pretest vs post-test) was performed using Wilcoxon signed-rank test. The between group differences were compared (experimental vs. control) using Mann-Whitney U test. IBM Statistical Package for Social Sciences (SPSS) Statistics 22.0 was used for analysis with p<0.05 statistically significant. Results: The mean ageof the participants was 26.35±4.97 years, mean weight was 73.53±16.73 kg, mean WHR 0.88±0.04 and mean BMI 28.81±5.90 kg/m2 Reduction in weight, BMI, waist circumference, EAT score, BITE severity score and BITE symptom score were statistically significant within both groups (pre-test and post-test, p<0.001) while reductions in hip circumference and WHR were statistically significant only in experimental group (pre-test and post-test, p<0.001). Conclusion: the present study results highlights the significant weight BMI binge eating symptoms in the intervention group. further researches can help the profeSsionalS in healthcare in treatment of pcos.

Authors

Publication Details

Journal
JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH
Published
2025-09-01
DOI
https://doi.org/10.7860/jcdr/2025/77704.21513
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Management of Binge Eating Disorder in Polycystic Ovarian Syndrome using Different Modalities: A Randomised Controlled Trial

P. Rastogi, Renuka Jakhar, Elina Dewanji Sen
JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH
Eating Disorders and Behaviors
article

Management of Binge Eating Disorder in Polycystic Ovarian Syndrome using Different Modalities: A Randomised Controlled Trial

P. Rastogi, Renuka Jakhar, Elina Dewanji Sen
article en

Abstract

Introduction: Difficulty in losing weight is a major problem in binge eaters. It becomes catastrophic when it is concurrent with Polycystic Ovarian Syndrome (PCOS). Weight loss programs don’t benefit to cope with binge eating disorder and vice-versa; which is the most challenging component of weight management in PCOS females that manifest binge eating also. Aim: To develop a management strategy which can address binge eating and weight management in PCOS females. Materials and Methods: The present randomised, parallel group, active controlled trial was conducted from december 2021 to december 2022 in non-pregnant females of 18-45 years of age satisfying Rotterdam criteria of PCOS having BMI ≥18.5. Eating Disorder Diagnostic Scale (EDDS) was used as a screening tool. A total of 114 participants were randomised into two groups of 57 females each ,experimental group and control group control group (n=57). Experimental group performed aerobic exercises, resistance exercises, diet modifications and Rajyoga meditation while control group performed only diet modifications and Rajyoga meditation. Eligible and willing participants visiting Weight, height, waist circumference, hip circumference, Body-Mass Index (BMI), Waist-Hip Ratio (WHR), Eating Attitudes Test (EAT) score, Bulimic Investigatory Test, Edinburgh (BITE) severity score and BITE symptom score were assessed before start of intervention and after 12 weeks of intervention. Shapiro-Wilk test indicated data were nonnormally distributed. Within group analysis (pretest vs post-test) was performed using Wilcoxon signed-rank test. The between group differences were compared (experimental vs. control) using Mann-Whitney U test. IBM Statistical Package for Social Sciences (SPSS) Statistics 22.0 was used for analysis with p<0.05 statistically significant. Results: The mean ageof the participants was 26.35±4.97 years, mean weight was 73.53±16.73 kg, mean WHR 0.88±0.04 and mean BMI 28.81±5.90 kg/m2 Reduction in weight, BMI, waist circumference, EAT score, BITE severity score and BITE symptom score were statistically significant within both groups (pre-test and post-test, p<0.001) while reductions in hip circumference and WHR were statistically significant only in experimental group (pre-test and post-test, p<0.001). Conclusion: the present study results highlights the significant weight BMI binge eating symptoms in the intervention group. further researches can help the profeSsionalS in healthcare in treatment of pcos.

JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH
Openalex Percentile: Top 67%
Eating Disorders and Behaviors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.