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

Geranne Jiskoot; Alexandra Dietz de Loos; Reinier Timman; Annemerle Beerthuizen; Joop Laven; Jan Busschbach

doi:10.1002/brb3.2621

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

Geranne Jiskoot^*, Alexandra Dietz de Loos, Reinier Timman, Annemerle Beerthuizen, Joop Laven, Jan Busschbach

^*Corresponding author for this work

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Abstract

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/m² 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.

Original language	English
Article number	e2621
Journal	Brain and Behavior
Volume	12
Issue number	7
Early online date	2 Jun 2022
DOIs	https://doi.org/10.1002/brb3.2621
Publication status	Published - Jul 2022

Bibliographical note

Funding Information:
The study was supported by an institutional grant for a PhD position. Funding information

Funding Information:
Geranne Jiskoot, Alexandra Dietz de Loos, Reinier Timman, Annemerle Beerthuizen, Jan Busschbach have nothing to declare. Joop Laven has received unrestricted research grants from Ansh Labs, Ferring and Roche Diagnostics. He received consultancy fees from the following companies: Ansh Labs, Ferring, Roche Diagnostics, and Titus Healthcare.

Publisher Copyright:
© 2022 The Authors. Brain and Behavior published by Wiley Periodicals LLC.

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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Lifestyle treatment in women with polycystic ovary syndrome predictors of weight loss and dropoutFinal published version, 264 KBLicence: CC BY

Cite this

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title = "Lifestyle treatment in women with polycystic ovary syndrome: predictors of weight loss and dropout",

abstract = "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/m2 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.",

author = "Geranne Jiskoot and {Dietz de Loos}, Alexandra and Reinier Timman and Annemerle Beerthuizen and Joop Laven and Jan Busschbach",

note = "Funding Information: The study was supported by an institutional grant for a PhD position. Funding information Funding Information: Geranne Jiskoot, Alexandra Dietz de Loos, Reinier Timman, Annemerle Beerthuizen, Jan Busschbach have nothing to declare. Joop Laven has received unrestricted research grants from Ansh Labs, Ferring and Roche Diagnostics. He received consultancy fees from the following companies: Ansh Labs, Ferring, Roche Diagnostics, and Titus Healthcare. Publisher Copyright: {\textcopyright} 2022 The Authors. Brain and Behavior published by Wiley Periodicals LLC.",

year = "2022",

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doi = "10.1002/brb3.2621",

language = "English",

volume = "12",

journal = "Brain and Behavior",

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T1 - Lifestyle treatment in women with polycystic ovary syndrome

T2 - predictors of weight loss and dropout

AU - Jiskoot, Geranne

AU - Dietz de Loos, Alexandra

AU - Timman, Reinier

AU - Beerthuizen, Annemerle

AU - Laven, Joop

AU - Busschbach, Jan

N1 - Funding Information: The study was supported by an institutional grant for a PhD position. Funding information Funding Information: Geranne Jiskoot, Alexandra Dietz de Loos, Reinier Timman, Annemerle Beerthuizen, Jan Busschbach have nothing to declare. Joop Laven has received unrestricted research grants from Ansh Labs, Ferring and Roche Diagnostics. He received consultancy fees from the following companies: Ansh Labs, Ferring, Roche Diagnostics, and Titus Healthcare. Publisher Copyright: © 2022 The Authors. Brain and Behavior published by Wiley Periodicals LLC.

PY - 2022/7

Y1 - 2022/7

N2 - 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/m2 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.

AB - 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/m2 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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DO - 10.1002/brb3.2621

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JO - Brain and Behavior

JF - Brain and Behavior

SN - 2157-9032

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

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