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Comorbidities in Women with Polycystic Ovary Syndrome: A Sibling Study
Stockholm University, Faculty of Social Sciences, Department of Public Health Sciences. Lund University, Sweden.
Stockholm University, Faculty of Social Sciences, Department of Public Health Sciences.ORCID iD: 0000-0002-7034-1922
Stockholm University, Faculty of Social Sciences, Department of Public Health Sciences.ORCID iD: 0000-0001-8866-7608
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Number of Authors: 62024 (English)In: BMC Women's Health, E-ISSN 1472-6874, Vol. 24, article id 221Article in journal (Refereed) Published
Abstract [en]

Background Polycystic ovary syndrome (PCOS) has previously been associated with several comorbidities that may have shared genetic, epigenetic, developmental or environmental origins. PCOS may be influenced by prenatal androgen excess, poor intrauterine or childhood environmental factors, childhood obesity and learned health risk behaviors. We analyzed the association between PCOS and several relevant comorbidities while adjusting for early-life biological and socioeconomic conditions, also investigating the extent to which the association is affected by familial risk factors.

Methods This total-population register-based cohort study included 333,999 full sisters, born between 1962 and 1980. PCOS and comorbidity diagnoses were measured at age 17-45 years through national hospital register data from 1997 to 2011, and complemented with information on the study subjects´ early-life and social characteristics. In the main analysis, sister fixed effects (FE) models were used to control for all time-invariant factors that are shared among sisters, thereby testing whether the association between PCOS and examined comorbidities is influenced by unobserved familial environmental, social or genetic factors.

Results Three thousand five hundred seventy women in the Sister sample were diagnosed with PCOS, of whom 14% had obesity, 8% had depression, 7% had anxiety and 4% experienced sleeping, sexual and eating disorders (SSE). Having PCOS increased the odds of obesity nearly 6-fold (adjusted OR (aOR): 5.9 [95% CI:5.4-6.5]). This association was attenuated in models accounting for unobserved characteristics shared between full sisters, but remained considerable in size (Sister FE: aOR: 4.5 [95% CI: 3.6-5.6]). For depression (Sister FE: aOR: 1.4 [95% CI: 1.2-1.8]) and anxiety (Sister FE: aOR: 1.5 [95% CI: 1.2-1.8), there was a small decrease in the aORs when controlling for factors shared between sisters. Being diagnosed with SSE disorders yielded a 2.4 aOR (95% CI:2.0-2.6) when controlling for a comprehensive set of individual-level confounders, which only decreased slightly when controlling for factors at the family level such as shared genes or parenting style. Accounting for differences between sisters in observed early-life circumstances influenced the estimated associations marginally.

Conclusion Having been diagnosed with PCOS is associated with a markedly increased risk of obesity and sleeping, sexual and eating disorders, also after accounting for factors shared between sisters and early-life conditions.

Place, publisher, year, edition, pages
2024. Vol. 24, article id 221
Keywords [en]
Polycystic ovary syndrome, Comorbidity, Sibling fixed effect
National Category
Public Health, Global Health and Social Medicine
Identifiers
URN: urn:nbn:se:su:diva-228886DOI: 10.1186/s12905-024-03028-9ISI: 001197785600002PubMedID: 38580996Scopus ID: 2-s2.0-85190332321OAI: oai:DiVA.org:su-228886DiVA, id: diva2:1856101
Available from: 2024-05-06 Created: 2024-05-06 Last updated: 2025-02-20Bibliographically approved
In thesis
1. Follicular fallacies or where should we begin?: Polycystic ovary syndrome from a life course perspective
Open this publication in new window or tab >>Follicular fallacies or where should we begin?: Polycystic ovary syndrome from a life course perspective
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Polycystic ovary syndrome (PCOS) is among the most common endocrine disorder in women of reproductive age, and is associated with several burdensome comorbidities. Around half of women with PCOS are either unaware of their condition or only become diagnosed a considerable time after symptoms initially manifest. PCOS presents significant challenges for both healthcare professionals and the women affected by the condition. Due to its multifaceted nature, there is currently no straightforward treatment available, and this has been the status quo for decades. Further investigation is needed to understand the etiology of PCOS and how PCOS contributes to socioeconomic and health inequalities. 

This PhD thesis aims to generate new knowledge on intergenerational and early life drivers of PCOS, while contributing to a better understanding of the mechanisms that generate social inequalities in PCOS. The four individual studies are based on register data for large population samples of Swedish women born between 1962 and 1995. 

Study I investigated associations of intergenerational and early life factors with PCOS. Maternal PCOS diagnosis, maternal diabetes mellitus, maternal obesity and heavy maternal smoking (10+ cigarettes/day) were strongly associated with PCOS among offspring. Additionally, lower (<7) one-minute Apgar score and post-term birth were associated with diagnosis of PCOS.

Study II investigated associations between PCOS and several comorbidities, exploring the extent to which these associations are sensitive to familial confounding by exploiting variation between biological sisters. After controlling for some shared familial environmental, social, and genetic risk factors, the findings indicated that women with a PCOS diagnosis had a fourfold increase in the odds of being diagnosed with obesity, a 1.4-fold higher likelihood of experiencing depression or anxiety, and a twofold greater likelihood of developing sleep, sexual, or eating disorders compared to their sisters without PCOS.

Study III focused on labor market attachment trajectories of working age women diagnosed with PCOS. While the majority of women in the study sample entered the labor market with stable employment, those with PCOS were more likely to encounter negative labor market outcomes, such as exclusion from the labor market or prolonged sickness absence. 

Study IV aimed to quantify educational and income-related inequalities and their relation to PCOS diagnosis. Women with low socioeconomic position had highest risk for being diagnosed with PCOS even after controlling for confounding factors. A modifying effect of education on the association of income with PCOS was also observed. 

The findings of this thesis highlight the impact of intergenerational factors and early life conditions on the risk of developing PCOS later in life. In addition to its developmental origins, PCOS leads to disadvantaged labor market attachment trajectories later in life. The thesis also explores the link between a disadvantaged socioeconomic situation and PCOS.

The complexity of working with register data and diagnosed cases of PCOS lies in chronological delays and underdiagnosis. Women whose PCOS diagnosis is not captured by the registries or is only observed later than the onset of the disease may bias estimates obtained from register studies, which is a limitation. Screening for PCOS, particularly among women with risk factors such as obesity, or a family history of the condition, could help identify the disorder earlier. Early detection allows for timely interventions and could also reduce the risk of associated comorbidities such as obesity, type 2 diabetes, cardiovascular disease, and mental health disorders. Integrated care models are needed that address the full spectrum of PCOS-related health and social issues.

Place, publisher, year, edition, pages
Stockholm: Department of Public Health Sciences, Stockholm University, 2025. p. 71
Series
Stockholm Studies in Public Health Sciences, ISSN 2003-0061 ; 11
Keywords
polycystic ovary syndrome, maternal diabetes, maternal smoking, developmental origins of health, comorbidity, obesity, sibling fixed effects, labor market, sickness absence, sequence analysis, income inequality
National Category
Medical and Health Sciences Public Health, Global Health and Social Medicine
Research subject
Public Health Sciences
Identifiers
urn:nbn:se:su:diva-236711 (URN)978-91-8107-050-7 (ISBN)978-91-8107-051-4 (ISBN)
Public defence
2025-01-31, Albano, Auditorium 4, House 2, Floor 2, Albanovägen 18, Stockholm, 10:00 (English)
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Supervisors
Available from: 2025-01-08 Created: 2024-12-05 Last updated: 2025-02-20Bibliographically approved

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Boldis, Beata VivienGrünberger, IlonaCederström, Agneta

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