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Lifestyle treatment in women with polycystic ovary syndrome: predictors of weight loss and dropout

BACKGROUND: Polycystic ovary syndrome (PCOS) affects 5%–10% of women in their reproductive years. Most women with PCOS struggle with obesity during their entire life. Knowing which determinants contribute to a successful lifestyle change is important to optimize treatment options for women with PCOS...

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Autores principales: Jiskoot, Geranne, Dietz de Loos, Alexandra, Timman, Reinier, Beerthuizen, Annemerle, Laven, Joop, Busschbach, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304828/
https://www.ncbi.nlm.nih.gov/pubmed/35652323
http://dx.doi.org/10.1002/brb3.2621
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author Jiskoot, Geranne
Dietz de Loos, Alexandra
Timman, Reinier
Beerthuizen, Annemerle
Laven, Joop
Busschbach, Jan
author_facet Jiskoot, Geranne
Dietz de Loos, Alexandra
Timman, Reinier
Beerthuizen, Annemerle
Laven, Joop
Busschbach, Jan
author_sort Jiskoot, Geranne
collection PubMed
description BACKGROUND: Polycystic ovary syndrome (PCOS) affects 5%–10% of women in their reproductive years. Most women with PCOS struggle with obesity during their entire life. Knowing which determinants contribute to a successful lifestyle change is important to optimize treatment options for women with PCOS. OBJECTIVE: This analysis of secondary outcome measures aimed to determine factors of ≥5% weight loss and dropout in all arms of the study and separately in the lifestyle intervention (LI) and control (care as usual [CAU]) groups. STUDY DESIGN: Women diagnosed with PCOS (N = 183) and a Body Mass Index (BMI) above 25 kg/m(2) were included. Participants were assigned to (1) 20 lifestyle sessions involving cognitive behavioral therapy (CBT), (2) 20 lifestyle sessions involving CBT with additional short message service (SMS), or (3) to control (CAU). A generalized linear regression was performed to identify determinants of ≥5% weight loss. Logistic regression was performed to identify determinants of dropout. All models were corrected by including baseline weight as a covariate. RESULTS: LI (OR 4.906, p = .001) was associated with ≥5% weight loss, while higher depression scores (OR 0.549, p = .013) had a negative association. Restraint eating was a positive factor for ≥5% weight loss in LI but a negative in CAU. Higher baseline weight (OR 1.033, p = .006), LI with SMS (OR 4.424, p = .002), and higher levels of androstenedione (OR 1.167, p = .026) were associated with dropout. CONCLUSIONS: Depression and eating behavior were associated with ≥5% weight loss. Women with PCOS should be screened for depression and eating behavior before a LI.
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spelling pubmed-93048282022-07-26 Lifestyle treatment in women with polycystic ovary syndrome: predictors of weight loss and dropout Jiskoot, Geranne Dietz de Loos, Alexandra Timman, Reinier Beerthuizen, Annemerle Laven, Joop Busschbach, Jan Brain Behav Original Articles BACKGROUND: Polycystic ovary syndrome (PCOS) affects 5%–10% of women in their reproductive years. Most women with PCOS struggle with obesity during their entire life. Knowing which determinants contribute to a successful lifestyle change is important to optimize treatment options for women with PCOS. OBJECTIVE: This analysis of secondary outcome measures aimed to determine factors of ≥5% weight loss and dropout in all arms of the study and separately in the lifestyle intervention (LI) and control (care as usual [CAU]) groups. STUDY DESIGN: Women diagnosed with PCOS (N = 183) and a Body Mass Index (BMI) above 25 kg/m(2) were included. Participants were assigned to (1) 20 lifestyle sessions involving cognitive behavioral therapy (CBT), (2) 20 lifestyle sessions involving CBT with additional short message service (SMS), or (3) to control (CAU). A generalized linear regression was performed to identify determinants of ≥5% weight loss. Logistic regression was performed to identify determinants of dropout. All models were corrected by including baseline weight as a covariate. RESULTS: LI (OR 4.906, p = .001) was associated with ≥5% weight loss, while higher depression scores (OR 0.549, p = .013) had a negative association. Restraint eating was a positive factor for ≥5% weight loss in LI but a negative in CAU. Higher baseline weight (OR 1.033, p = .006), LI with SMS (OR 4.424, p = .002), and higher levels of androstenedione (OR 1.167, p = .026) were associated with dropout. CONCLUSIONS: Depression and eating behavior were associated with ≥5% weight loss. Women with PCOS should be screened for depression and eating behavior before a LI. John Wiley and Sons Inc. 2022-06-02 /pmc/articles/PMC9304828/ /pubmed/35652323 http://dx.doi.org/10.1002/brb3.2621 Text en © 2022 The Authors. Brain and Behavior published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Jiskoot, Geranne
Dietz de Loos, Alexandra
Timman, Reinier
Beerthuizen, Annemerle
Laven, Joop
Busschbach, Jan
Lifestyle treatment in women with polycystic ovary syndrome: predictors of weight loss and dropout
title Lifestyle treatment in women with polycystic ovary syndrome: predictors of weight loss and dropout
title_full Lifestyle treatment in women with polycystic ovary syndrome: predictors of weight loss and dropout
title_fullStr Lifestyle treatment in women with polycystic ovary syndrome: predictors of weight loss and dropout
title_full_unstemmed Lifestyle treatment in women with polycystic ovary syndrome: predictors of weight loss and dropout
title_short Lifestyle treatment in women with polycystic ovary syndrome: predictors of weight loss and dropout
title_sort lifestyle treatment in women with polycystic ovary syndrome: predictors of weight loss and dropout
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304828/
https://www.ncbi.nlm.nih.gov/pubmed/35652323
http://dx.doi.org/10.1002/brb3.2621
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