The investigators recruited 83 women diagnosed with polycystic ovary syndrome from the gynecology clinic of the Gonabad referral hospital and from private gynecology practices, alongside 88 healthy controls, during 2025. Participants were selected through convenience sampling, and each completed a structured demographic and social determinants of health checklist as well as three validated instruments: the Health Literacy Questionnaire, the Multidimensional Scale of Perceived Social Support, and the Household Food Insecurity Access Scale. Statistical analysis was performed in R version 4.6.1, with the significance threshold set at p less than 0.05. The two groups were demographically comparable in age, averaging roughly 27 years in the syndrome group and 28 years among controls, which allowed the researchers to focus on social and clinical contrasts rather than age effects.

The descriptive findings alone were striking. Women with the syndrome had grown up in poorer households, were more likely to be renting their current homes, and lived in dwellings with fewer rooms than the comparison group, differences that were statistically significant across the board. Intriguingly, the syndrome group rated their neighborhoods as having better green space and better safety, an apparent paradox the authors address through the multivariate analysis. Body mass index was significantly higher among affected women, and the smoking gap was dramatic: 41.0 percent of women with the syndrome reported smoking, compared with just 11.4 percent of controls, a nearly fourfold difference that reached high statistical significance with a p value below 0.001.

Family history painted a consistent picture of inherited and shared metabolic vulnerability. Women with the syndrome were significantly more likely to report relatives with polycystic ovary syndrome itself, with diabetes, and with hyperlipidemia, all differences surviving statistical testing. Health literacy scores were also higher in the syndrome group, plausibly because a chronic diagnosis prompts patients to seek out medical information. Food insecurity, measured by the Household Food Insecurity Access Scale, was actually lower in the affected group, and perceived social support did not differ between the two cohorts, suggesting that the social gradients in this condition operate through specific channels rather than through generalized deprivation.

When the team moved from simple comparisons to multivariate logistic regression, the independent risk factors crystallized. Lacking access to green space carried an odds ratio of 12.80 for having the syndrome, the largest effect in the model, followed closely by living in an unsafe neighborhood at an odds ratio of 12.31. A positive family history of the syndrome raised the odds nearly sevenfold at 6.89, smoking raised them 5.62-fold, familial hyperlipidemia 3.66-fold, and each additional parity increased the odds by 1.76 times. These estimates were adjusted for one another, meaning each factor contributed information the others could not explain away.

Equally notable were the protective associations. Women who described their childhood economic status as moderate had 80 percent lower odds of the syndrome than the reference group, with an odds ratio of 0.20, and those who described it as low had odds of just 0.11. Being married was also associated with reduced odds, at 0.23. The authors interpret the childhood economics finding with caution: in this Iranian setting, lower-income households may involve higher physical activity levels, different dietary patterns, or earlier life exposures that alter metabolic trajectories, and the cross-sectional design cannot establish direction. Nonetheless, the finding challenges the assumption that disadvantage always tracks with higher disease burden, and it underscores how context-specific the social epidemiology of endocrine disorders can be.

Mechanistically, the connections between these social factors and ovarian endocrine dysfunction are biologically plausible. Chronic stress from living in unsafe neighborhoods sustains sympathetic nervous system and hypothalamic-pituitary-adrenal activation, which can disturb gonadotropin secretion and ovarian steroidogenesis. Smoking delivers both oxidative stress and endocrine disruption, with nicotine and combustion byproducts implicated in altered androgen metabolism and impaired follicular development. Hyperlipidemia within families points to shared genetic and dietary determinants of insulin resistance, the metabolic hub around which much of polycystic ovary syndrome pathology revolves. Green space, meanwhile, has been repeatedly linked in environmental health research to lower stress, better air quality and higher physical activity, each of which can modulate insulin sensitivity and, in turn, ovarian function.

The renaming of the condition to polyendocrine metabolic ovarian syndrome, adopted recently by expert consensus, reflects exactly this broadened understanding: the syndrome is no longer viewed as a purely ovarian disorder but as a systemic endocrine-metabolic condition with reproductive consequences. The present study extends that reframing in a social direction, situating the syndrome within the same determinants-of-health framework long applied to cardiovascular disease and diabetes. If neighborhood safety and green access carry odds ratios comparable to those of established familial risk factors, the authors argue, then clinicians and policymakers may need to consider environmental interventions alongside conventional medical management.

Several limitations temper the findings, and the authors acknowledge them. The case-control design identifies associations, not causes, and the temporal ordering between social exposures and disease onset cannot be confirmed. Convenience sampling from a single city and its surrounding clinics limits generalizability, and the modest sample size of 171 women yields the wide confidence intervals typical of small multivariate models. Self-reported smoking, family history and neighborhood perceptions are also vulnerable to recall and reporting bias, and residual confounding by unmeasured variables, from dietary composition to polycystic ovary morphology criteria used in diagnosis, remains possible. The study was funded by Gonabad University of Medical Sciences under grant 1678 and approved by that institution’s ethics committee under code IR.GMU.REC.1402.167, with informed consent obtained from all participants.

Even with those caveats, the study is among the first to quantify how a constellation of social determinants, from childhood poverty to tree-lined streets, tracks with one of the most common endocrine disorders of reproductive-age women, which affects an estimated one in ten worldwide. The message resonating through the data is that reproductive endocrinology cannot be practiced in isolation from sociology. A woman’s odds of developing this syndrome appear to be written not only in her genome but in the safety of her streets, the smoke she inhales, the children she has borne and the economic circumstances of her childhood. For researchers, the findings open a clear agenda: longitudinal cohorts that can disentangle whether unsafe neighborhoods and scarce green space truly help cause ovarian endocrine dysfunction, and whether environmental improvements could shift those odds. For the millions of women living with the condition, the research affirms that its roots may reach well beyond the ovary.

Subject of Research: Association between social determinants of health and polycystic ovary syndrome risk in a case-control study of reproductive-age women

Article Title: Association of social determinants of health with polycystic ovary syndrome: evidence from a case-control study

Article References: Dashti, S., Kosari, M., Mahmoudian, A., Eghbalian, M., Seyedeh, N., & Bahri, N. (2026). Association of social determinants of health with polycystic ovary syndrome: evidence from a case-control study. Journal of Ovarian Research. https://doi.org/10.1186/s13048-026-02263-y

Image Credits: AI Generated

DOI: 10.1186/s13048-026-02263-y

Keywords: polycystic ovary syndrome, PCOS, social determinants of health, smoking, neighborhood safety, green space, hyperlipidemia, health literacy, food insecurity, case-control study, reproductive endocrinology, Iran