Longitudinal weight gain in women identified With polycystic ovary syndrome: Results of an observational study in young women

Authors

  • Helena J. Teede,

    Corresponding author
    1. Diabetes Unit, Southern Health, Clayton, Victoria, Australia
    • Women's Public Health Research, Monash Applied Research Stream, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
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  • Anju E. Joham,

    1. Women's Public Health Research, Monash Applied Research Stream, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
    2. Diabetes Unit, Southern Health, Clayton, Victoria, Australia
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  • Eldho Paul,

    1. Women's Public Health Research, Monash Applied Research Stream, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
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  • Lisa J. Moran,

    1. Women's Public Health Research, Monash Applied Research Stream, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
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  • Deborah Loxton,

    1. Research Centre for Gender, Health and Ageing, University of Newcastle, Callaghan, New South Wales, Australia
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  • Damien Jolley,

    1. Women's Public Health Research, Monash Applied Research Stream, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
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  • Catherine Lombard

    1. Women's Public Health Research, Monash Applied Research Stream, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
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  • Disclosure: The authors declared no conflict of interest.

  • Funding agencies: This research was supported by the Australian Government Department of Health and Ageing.

  • Author Contributions: Helena J. Teede: Study concept and design, acquisition, analysis, and interpretation of data, drafting of the manuscript, critical revision of the manuscript for important intellectual content, obtaining funding, and supervision. Anju E. Joham: Analysis and interpretation of data, drafting of the manuscript, critical revision of the manuscript for important intellectual content, and obtaining funding. Eldho Paul: Study concept and design, analysis and interpretation of data, critical revision of the manuscript for important intellectual content, and statistical analysis. Lisa J. Moran: Study concept and design, analysis and interpretation of data, and critical revision of the manuscript for important intellectual content. Deborah Loxton: Study concept and design, acquisition, analysis, and interpretation of data, drafting of the manuscript, critical revision of the manuscript for important intellectual content, and obtaining funding. Damien Jolley: Study concept and design, analysis and interpretation of data, critical revision of the manuscript for important intellectual content, statistical analysis, and figures. Catherine Lombard: Study concept and design, analysis and interpretation of data, drafting of the manuscript, critical revision of the manuscript for important intellectual content, and supervision.

Correspondence: Helena J. Teede (helena.teede@monash.edu).

Abstract

Objective

Polycystic ovary syndrome (PCOS) affects 6-18% of women. The natural history of weight gain in women with PCOS has not been well described. Here we aimed to examine longitudinal weight gain in women with and without PCOS and to assess the association between obesity and PCOS prevalence.

Design and Methods

The observational study was set in the general community. Participants were women randomly selected from the national health insurance scheme (Medicare) database. Mailed survey data were collected by the Australian Longitudinal Study on Women's Health. Data from respondents to survey 4, aged 28-33 years (2006, n = 9,145) were analyzed. The main outcome measures were PCOS prevalence and body mass index (BMI).

Results

Self-reported PCOS prevalence was 5.8% (95% CI: 5.3%-6.4%). Women reporting PCOS had higher weight, mean BMI [2.5 kg/m2 (95% CI: 1.9-3.1)], and greater 10-year weight gain [2.6 kg (95% CI: 1.2-4.0)]. BMI was the strongest correlate of PCOS status with every BMI increment increasing the risk of reporting PCOS by 9.2% (95% CI: 6%-12%).

Conclusions

This community based observational study with longitudinal reporting of weight shows that weight, BMI, and 10-year weight gain were higher in PCOS. We report the novel finding that obesity and greater weight gain are significantly associated with PCOS status. Considering the prevalence, major health and economic burden of PCOS, the increasing weight gain in young women, and established benefits of weight loss, these results have major public health implications.

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