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Gao Q, Qian X, Zhang J, Zhang F, Xu X. Body image disturbances in women of childbearing age with polycystic ovary syndrome: a cross-sectional study. BMC Womens Health 2025; 25:186. [PMID: 40241131 PMCID: PMC12001658 DOI: 10.1186/s12905-025-03693-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 03/25/2025] [Indexed: 04/18/2025] Open
Abstract
DISIGN This is a cross-sectional study. OBJECTIVES This study aimed to identify the risk factors associated with body image disturbances in patients with polycystic ovary syndrome (PCOS). METHODS This study included married women diagnosed with PCOS who required fertility assistance. Participants were recruited from the reproductive centers of three tertiary hospitals in Jiangsu Province between December 2022-June 2023. We collected 333 patient data through an online questionnaire, body image was assessed by the Chinese version of Body Image Disturbance Questionnaire (BIDQ). The demographic information and clinical data of patients were collected. At the same time, the relevant information of sleep quality, personality traits, intimate relationship, family care and psychological resilience of the patients were collected through various scales. Univariate analysis and a generalized linear model were employed to analyze the factors affecting body image disturbances in women with PCOS. RESULTS This cross-sectional study included 333 women of childbearing age with PCOS. Univariate analysis revealed that body image was associated with factors such as the body mass index (BMI), occupation, menstrual disturbances, a family history of PCOS, hair loss, acne, hirsutism, scores on the Family Apgar Index, psychological resilience levels, sleep quality, intimate relationship, and personality traits. The generalized linear model demonstrated that occupation, BMI, hair loss, acne, hirsutism, intimate relationship, family care, and psychological resilience were independent risk factors for body image issues. CONCLUSION The influencing factors of body image disturbance in patients with polycystic ovary syndrome of childbearing age come from many aspects, including occupation, acne, hair loss, hirsutism, BMI, intimate relationship, family care and psychological resilience. Consequently, medical professionals in obstetrics and gynecology should recognize the body image concerns of women with PCOS and implement specific interventions to support these women during their childbearing years.
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Affiliation(s)
- Qian Gao
- Department of Nursing, Affiliated Hospital of Nantong University, Nantong, Jiangsu, 226001, China
- School of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, 226001, China
| | - Xuan Qian
- Department of Nursing, Affiliated Hospital of Nantong University, Nantong, Jiangsu, 226001, China
| | - Jie Zhang
- Medical School of Nantong University, Nantong, Jiangsu, China
| | - Feng Zhang
- School of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, 226001, China.
| | - Xujuan Xu
- Department of Nursing, Affiliated Hospital of Nantong University, Nantong, Jiangsu, 226001, China.
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Pesonen E, Nurkkala M, Ollila MM, Hurskainen E, Morin-Papunen LC, Jämsä T, Korpelainen R, Niemelä M, Piltonen TT. Women with polycystic ovary syndrome are at risk of emotional and uncontrolled eating at midlife: a population-based cohort study. Fertil Steril 2025; 123:383-393. [PMID: 39349119 DOI: 10.1016/j.fertnstert.2024.09.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 09/19/2024] [Accepted: 09/20/2024] [Indexed: 10/02/2024]
Abstract
OBJECTIVE To investigate eating behavior domains-emotional, uncontrolled, and cognitive restraint eating-in women with polycystic ovary syndrome (PCOS) with different PCOS phenotypes and women without PCOS at midlife. DESIGN A prospective cohort study. Eating behavior domains were assessed at age of 46 years. Predictors of eating behaviors were evaluated using variables collected at ages of 31 and 46 years. SUBJECTS Women identified as having PCOS (n = 251) at age of 31 years using the updated Rotterdam criteria were compared with women without any PCOS criteria (n = 935). The PCOS population comprised women with the classic A+B-phenotype (hyperandrogenism and oligomenorrhea, with or without elevated antimüllerian hormone, n = 60), C-phenotype (hyperandrogenism and elevated antimüllerian hormone, n = 84), and D-phenotype (oligomenorrhea and elevated antimüllerian hormone, n = 86). EXPOSURE Not applicable. MAIN OUTCOME MEASURES Revised Three-Factor Eating Questionnaire-18 scores for eating behavior domains. RESULTS Compared with women without PCOS, women with PCOS exhibited higher scores for emotional (33.1 ± 27.8 vs. 39.0 ± 29.9) and uncontrolled eating (26.7 ± 18.2 vs. 30.7 ± 19.4) but no difference in cognitive restraint (46.6 ± 18.6 vs. 45.9 ± 18.5) at age of 46 years. Emotional and uncontrolled eating scores were higher in the A+B-phenotype compared with women without PCOS, whereas uncontrolled eating scores in the C-phenotype were higher than in women without PCOS and the D-phenotype. At age of 46 years, the perception of overweight was an independent predictor of emotional eating among women with PCOS (B = 11.96 [95% confidence interval {CI}: 2.81-20.29]), whereas a history of weight loss attempts was a predictor of uncontrolled eating (B = 6.06 [95% CI: 1.05-10.83]). Among women with PCOS, higher psychological distress at age of 31 years was a significant risk factor for scoring in the highest quartile of emotional (adjusted odds ratio [aOR]: 2.85 [95% CI: 1.19-6.85]) and uncontrolled eating (aOR: 4.37 [95% CI: 1.77-10.80]) at age of 46 years. CONCLUSION Women with PCOS at midlife showed a high tendency for unfavorable eating behaviors. Our findings emphasize the need for sensitivity in weight management counseling and addressing psychological distress to prevent unfavorable eating in this population.
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Affiliation(s)
- Emilia Pesonen
- Department of Obstetrics and Gynecology, Research Unit of Clinical Medicine, University of Oulu and Oulu University Hospital, Oulu, Finland; Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Marjukka Nurkkala
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland; Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., Oulu, Finland; Research Unit of Population Health, University of Oulu, Oulu, Finland
| | - Meri-Maija Ollila
- Department of Obstetrics and Gynecology, Research Unit of Clinical Medicine, University of Oulu and Oulu University Hospital, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Elisa Hurskainen
- Department of Obstetrics and Gynecology, Research Unit of Clinical Medicine, University of Oulu and Oulu University Hospital, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Laure C Morin-Papunen
- Department of Obstetrics and Gynecology, Research Unit of Clinical Medicine, University of Oulu and Oulu University Hospital, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Timo Jämsä
- Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Raija Korpelainen
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland; Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., Oulu, Finland; Research Unit of Population Health, University of Oulu, Oulu, Finland
| | - Maisa Niemelä
- Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland; Centre for Wireless Communications, University of Oulu, Oulu, Finland
| | - Terhi T Piltonen
- Department of Obstetrics and Gynecology, Research Unit of Clinical Medicine, University of Oulu and Oulu University Hospital, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.
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Pesonen E, Farrahi V, Brakenridge CJ, Ollila MM, Morin-Papunen LC, Nurkkala M, Jämsä T, Korpelainen R, Moran LJ, Piltonen TT, Niemelä M. 24-hour movement behaviours and cardiometabolic markers in women with polycystic ovary syndrome (PCOS): a compositional data analysis. Hum Reprod 2024; 39:2830-2847. [PMID: 39366675 PMCID: PMC11629989 DOI: 10.1093/humrep/deae232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 09/02/2024] [Indexed: 10/06/2024] Open
Abstract
STUDY QUESTION Are 24-h movement composition and time reallocations between the movement behaviours (moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), sedentary behaviour (SB), and sleep) differentially associated with cardiometabolic markers in women with polycystic ovary syndrome (PCOS) relative to women without PCOS? SUMMARY ANSWER There was no difference in 24-h movement composition between the groups, although among women without PCOS, reducing SB time while increasing either MVPA or LPA time was associated with beneficial differences in cardiometabolic markers, whereas in women with PCOS beneficial differences were observed only when SB time was replaced with MVPA. WHAT IS KNOWN ALREADY Women with PCOS display lower levels of physical activity, higher sedentary time, and less total sleep than women without the syndrome. Exercise interventions among women with PCOS have shown improvements in body composition and insulin sensitivity, while the findings regarding blood pressure, insulin resistance, and lipid profiles are contradictory. STUDY DESIGN, SIZE, DURATION This study was part of a prospective, general population-based Northern Finland Birth Cohort 1966 (NFBC1966) (n = 5889 women). At the 31-year and 46-year follow-up, data collection was performed through postal and clinical examinations, including fasting blood samples and anthropometric measurements. Accelerometer data collection of 14 days (n = 2602 women) and a 2-h oral glucose tolerance test (n = 2780 women) were performed at the 46-year follow-up. Participants were identified as women with or without PCOS at age 31 (n = 1883), and the final study population included those who provided valid accelerometer data at age 46 (n = 857). PARTICIPANTS/MATERIALS, SETTING, METHODS Women with PCOS (n = 192) were identified based on the 2023 International Evidence-based Guideline, while those who exhibited no PCOS features were considered women without PCOS (controls; n = 665). Accelerometer-measured MVPA, LPA, and SB were combined with self-reported sleep to obtain 24-h compositions. Multivariable regression analysis based on compositional data analysis and isotemporal reallocations were performed to investigate the associations between 24-h movement composition and cardiometabolic markers. Isotemporal reallocations were expressed as differences (%Δ) from the sample's mean. MAIN RESULTS AND THE ROLE OF CHANCE There was no difference in overall 24-h movement composition between women with PCOS and controls in midlife. The 24-h movement composition was associated with waist circumference, triglycerides, fasting serum insulin, and Homeostatic Model Assessment-insulin resistance (HOMA-IR) in both controls and women with PCOS. Reallocating 15 min from SB to MVPA was associated with favourable differences in cardiometabolic markers in both controls (%Δ range from -1.7 to -4.9) and women with PCOS (%Δ range from -1.9 to -8.6). Reallocating 15 min from SB to LPA was also associated with favourable differences in cardiometabolic markers among controls (%Δ range from -0.5 to -1.6) but not among women with PCOS. LIMITATIONS, REASONS FOR CAUTION The substitution technique used in this study is theoretical, which can be considered as a limitation. Other limitations of this study are the use of self-reported sleeping time and the difference in the group sample sizes. WIDER IMPLICATIONS OF THE FINDINGS These findings suggest that women with PCOS should be targeted with interventions involving physical activity of at least moderate intensity to improve their cardiometabolic health and underline the importance of developing tailored activity guidelines for women with PCOS. STUDY FUNDING/COMPETING INTEREST(S) This study was funded by the Jenny and Antti Wihuri Foundation, Sigrid Juselius Foundation, Novo Nordisk (NNF21OC0070372), Research Council of Finland (315921/2018, 321763/2019, 6GESS 336449), Ministry of Education and Culture of Finland (OKM/54/626/2019, OKM/85/626/2019, OKM/1096/626/2020, OKM/20/626/2022, OKM/76/626/2022, and OKM/68/626/2023), and Roche Diagnostics International Ltd. L.J.M. is supported by a Veski Fellowship. M.Nu. has received funding from Fibrobesity-project, a strategic profiling project at the University of Oulu, which is supported by Research Council of Finland (Profi6 336449). NFBC1966 follow-ups received financial support from University of Oulu (Grant no. 65354, 24000692), Oulu University Hospital (Grant no. 2/97, 8/97, 24301140), Ministry of Health and Social Affairs (Grant no. 23/251/97, 160/97, 190/97), National Institute for Health and Welfare, Helsinki (Grant no. 54121), Regional Institute of Occupational Health, Oulu, Finland (Grant no. 50621, 54231), and ERDF European Regional Development Fund (Grant no. 539/2010 A31592). T.T.P. declares consulting fees from Gedeon Richter, Organon, Astellas, Roche; speaker's fees from Gedeon Richter, Exeltis, Roche, Stragen, Merck, Organon; and travel support from Gedeon Richter. The remaining authors declare no conflicts of interest. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- E Pesonen
- Research Unit of Clinical Medicine, Department of Obstetrics and Gynecology, Oulu University Hospital, University of Oulu, Oulu, Finland
- Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - V Farrahi
- Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Institute for Sport and Sport Science, TU Dortmund University, Dortmund, Germany
| | - C J Brakenridge
- Centre for Urban Transitions, Swinburne University of Technology, Melbourne, VIC, Australia
- Active Life Lab, South-Eastern Finland University of Applied Sciences, Mikkeli, Finland
| | - M M Ollila
- Research Unit of Clinical Medicine, Department of Obstetrics and Gynecology, Oulu University Hospital, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - L C Morin-Papunen
- Research Unit of Clinical Medicine, Department of Obstetrics and Gynecology, Oulu University Hospital, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - M Nurkkala
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
- Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr, Oulu, Finland
- Research Unit of Population Health, University of Oulu, Oulu, Finland
| | - T Jämsä
- Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - R Korpelainen
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
- Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr, Oulu, Finland
- Research Unit of Population Health, University of Oulu, Oulu, Finland
| | - L J Moran
- Monash Centre for Health Research and Implementation, Monash University, Melbourne, VIC, Australia
| | - T T Piltonen
- Research Unit of Clinical Medicine, Department of Obstetrics and Gynecology, Oulu University Hospital, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - M Niemelä
- Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Centre for Wireless Communications, University of Oulu, Oulu, Finland
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Cooney LG, Gyorfi K, Sanneh A, Bui LM, Mousa A, Tay CT, Teede H, Stener-Victorin E, Brennan L. Increased Prevalence of Binge Eating Disorder and Bulimia Nervosa in Women With Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis. J Clin Endocrinol Metab 2024; 109:3293-3305. [PMID: 39115340 DOI: 10.1210/clinem/dgae462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Indexed: 11/19/2024]
Abstract
CONTEXT Polycystic ovary syndrome (PCOS) is associated with disordered eating/eating disorders, but prior meta-analyses are limited by small numbers. OBJECTIVE To inform the 2023 International PCOS Guideline, we performed a systematic review and meta-analysis evaluating the prevalence of disordered eating/eating disorders among women with and without PCOS. METHODS Ovid MEDLINE, EMBASE, PsycInfo, and All EMB were searched from inception through February 1, 2024, for studies that compared prevalences of eating disordered/disordered eating in adolescent or adult women. Random effects meta-analyses were used to estimate the pooled odds ratios (OR) or standardized mean differences (SMD) of outcomes in women with PCOS compared to controls. Methodological quality was assessed by the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) system, and included studies were assessed for risk of bias. RESULTS Of 1352 articles identified, 20 were included, with a total of 28 922 women with PCOS and 258 619 controls. Individuals with PCOS had higher odds of any eating disorder (OR: 1.53 [1.29, 1.82], 8 studies), which persisted in studies where PCOS was diagnosed by Rotterdam criteria (OR: 2.88 [1.55, 5.34], 4 studies). Odds of bulimia nervosa, binge eating disorder, and disordered eating, but not anorexia nervosa, were increased in PCOS. Mean disordered eating scores were higher in PCOS (SMD: 0.52 [0.28, 0.77], 13 studies), including when stratified by normal and higher weight body mass index. Most included studies were of moderate quality, with no evidence of publication bias. CONCLUSION Our study informs the 2023 PCOS Guideline recommendations for consideration of the risk of disordered eating/ eating disorders in care of women with PCOS, regardless of weight, especially during providing lifestyle counseling.
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Affiliation(s)
- Laura G Cooney
- Department of Obstetrics and Gynecology, University of Wisconsin, Madison, WI 54562, USA
| | - Kaley Gyorfi
- Department of Obstetrics and Gynecology, University of Wisconsin, Madison, WI 54562, USA
| | - Awa Sanneh
- Department of Obstetrics and Gynecology, University of Wisconsin, Madison, WI 54562, USA
| | - Leeann M Bui
- Department of Obstetrics and Gynecology, Santa Clara Valley Medical Center, Santa Clara, CA 95128, USA
| | - Aya Mousa
- Monash Centre for Health Research and Implementation, Monash University, Melbourne, 3800, Australia
| | - Chau Thien Tay
- Monash Centre for Health Research and Implementation, Monash University, Melbourne, 3800, Australia
- Endocrine and Diabetes Units, Monash Health, Cayton, 3168, Australia
| | - Helena Teede
- Monash Centre for Health Research and Implementation, Monash University, Melbourne, 3800, Australia
- Endocrine and Diabetes Units, Monash Health, Cayton, 3168, Australia
| | | | - Leah Brennan
- School of Psychology and Public Health, La Trobe University, Melbourne, 3086, Australia
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Kataoka J, Stener‐Victorin E, Schmidt J, Larsson I. A prospective 12-month structured weight loss intervention in women with severe obesity and polycystic ovary syndrome: Impact of weight loss on eating behaviors. Acta Obstet Gynecol Scand 2024; 103:1615-1624. [PMID: 38717931 PMCID: PMC11266713 DOI: 10.1111/aogs.14867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 04/18/2024] [Accepted: 04/19/2024] [Indexed: 07/25/2024]
Abstract
INTRODUCTION The knowledge regarding eating behavior and disorders in women with polycystic ovary syndrome (PCOS) and severe obesity is limited. This study aimed to assess eating behavior and lifestyle factors in women with severe obesity (BMI ≥35 kg/m2), with and without PCOS, and the effect of weight loss on these behaviors. MATERIAL AND METHODS A prospective clinical trial with participants screened for PCOS using National Institutes of Health criteria. Participants completed the Food Frequency Questionnaire, International Physical Activity Questionnaire, Three-Factor Eating Questionnaire, and Questionnaire of Eating and Weight Patterns-revised, and were evaluated regarding binge eating disorder using DSM-5 criteria before and after a 12-month weight loss intervention. CLINICALTRIALS gov: NCT01319162. RESULTS 246 women were included (PCOS n = 63, age 33.0 ± 8.4, BMI 39.9 ± 4.7; non-PCOS n = 183, age 37.7 ± 8.7, BMI 39.6 ± 4.3). Women with PCOS showed elevated baseline scores in cognitive restraint eating (50.0 [33.3-63.2]) compared to women without PCOS (38.9 [27.8-55.6]; p = 0.012). No differences were observed between groups in emotional and uncontrolled eating. In both groups, cognitive restraint eating was negatively correlated with energy intake (PCOS: r = -0.315, p < 0.05; non-PCOS: r = -0.214, p < 0.001), while uncontrolled eating displayed a positive correlation with energy intake (PCOS: r = 0.263, p = 0.05; non-PCOS: r = 0.402, p < 0.001). A positive correlation was found between emotional eating and energy intake only in women without PCOS (r = 0.400, p < 0.001). Baseline self-reported energy intake and physical activity did not differ between groups. At 12-month follow-up, women with PCOS reported reduced fat intake. Women without PCOS reported reduced energy intake, carbohydrates and sugar, increased protein, reduced scores for emotional and uncontrolled eating, and heightened scores for cognitive restraint eating. Comparing changes from baseline to follow-up, differences were found between groups in cognitive restraint, intake of fat, carbohydrates, and sugar. The mean weight loss was 12-14 kg, with no between-group difference (p = 0.616). CONCLUSIONS Women with severe obesity and PCOS showed elevated cognitive restraint eating behaviors compared to women without PCOS. Although significant weight loss was seen in both groups, alterations in eating behavior more favorable for weight loss were only seen in women without PCOS.
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Affiliation(s)
- Josefin Kataoka
- Institute of Neuroscience and Physiology, Department of Physiology, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of Obstetrics and GynaecologySahlgrenska University HospitalGothenburgSweden
| | | | - Johanna Schmidt
- Institute of Clinical Sciences, Sahlgrenska academyUniversity of GothenburgGothenburgSweden
- Göteborgs IVF‐klinikGothenburgSweden
| | - Ingrid Larsson
- Department of MedicineSahlgrenska University HospitalGothenburgSweden
- Institute of Medicine, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
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Lalonde-Bester S, Malik M, Masoumi R, Ng K, Sidhu S, Ghosh M, Vine D. Prevalence and Etiology of Eating Disorders in Polycystic Ovary Syndrome: A Scoping Review. Adv Nutr 2024; 15:100193. [PMID: 38408541 PMCID: PMC10973592 DOI: 10.1016/j.advnut.2024.100193] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 02/06/2024] [Accepted: 02/14/2024] [Indexed: 02/28/2024] Open
Abstract
Polycystic ovary syndrome (PCOS) is the most common endocrine-metabolic disorder affecting females across the lifespan. Eating disorders (EDs) are psychiatric conditions that may impact the development of PCOS and comorbidities including obesity, metabolic syndrome, and type 2 diabetes. The aim of this scoping review was to determine the prevalence of EDs and disordered eating, and to review the etiology of EDs in PCOS. The review was conducted using search terms addressing PCOS, EDs, and disordered eating in databases, including PubMed, Scopus, PsycINFO, and CINAHL. Structured interviews, self-administered questionnaires, chart review, or self-reported diagnosis were used to identify EDs in 38 studies included in the review. The prevalence of any ED in those with PCOS ranged from 0% to 62%. Those with PCOS were 3-6-fold more likely to have an ED and higher odds ratios (ORs) of an elevated ED score compared with controls. In those with PCOS, 30% had a higher OR of bulimia nervosa and binge ED was 3-fold higher compared with controls. Studies were limited on anorexia nervosa and other specified feeding or ED (such as night eating syndrome) and these were not reported to be higher in PCOS. To our knowledge, no studies reported on avoidant/restrictive food intake disorder, rumination disorder, or pica in PCOS. Studies showed strong associations between overweight, body dissatisfaction, and disordered eating in PCOS. The etiologic development of EDs in PCOS remains unclear; however, psychological, metabolic, hypothalamic, and genetic factors are implicated. The prevalence of any ED in PCOS varied because of the use of different diagnostic and screening tools. Screening of all individuals with PCOS for EDs is recommended and high-quality studies on the prevalence, pathogenesis of specific EDs, relationship to comorbidities, and effective interventions to treat ED in those with PCOS are needed.
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Affiliation(s)
- Sophie Lalonde-Bester
- Metabolic and Cardiovascular Disease Laboratory, University of Alberta, Edmonton, Alberta, Canada
| | - Mishal Malik
- Metabolic and Cardiovascular Disease Laboratory, University of Alberta, Edmonton, Alberta, Canada
| | - Reihaneh Masoumi
- Metabolic and Cardiovascular Disease Laboratory, University of Alberta, Edmonton, Alberta, Canada
| | - Katie Ng
- Metabolic and Cardiovascular Disease Laboratory, University of Alberta, Edmonton, Alberta, Canada
| | - Simran Sidhu
- Metabolic and Cardiovascular Disease Laboratory, University of Alberta, Edmonton, Alberta, Canada
| | - Mahua Ghosh
- Division of Endocrinology and Metabolism, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Donna Vine
- Metabolic and Cardiovascular Disease Laboratory, University of Alberta, Edmonton, Alberta, Canada.
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