Reproductive endocrinology

Depression, Anxiety, and Risk of Metabolic Syndrome in Women With Polycystic Ovary Syndrome: A Longitudinal Study

J Clin Endocrinol MetabPublished Retrospective cohort study

Main finding · Developing MetSynResult — go to the resultAdjusted hazard ratio 1.45 95% CI 1.02–2.06

Authors' conclusion

Patients with PCOS and depression and/or anxiety have a high risk of developing MetSyn, with a stronger association between depression and MetSyn. Our findings highlight the urgent need for guideline-directed screening for depression and anxiety at time of diagnosis of PCOS as well as screening at subsequent visits to facilitate risk stratification for metabolic monitoring and early intervention in this high-risk group.

Study context

Population
Patients with hyperandrogenic PCOS with at least 2 evaluations for metabolic syndrome (MetSyn) ≥3 years apart, tertiary care ambulatory practice, 2008–2022
Participants
321 patients
Exposure
History of depression and/or anxiety vs none
Outcome
Risk of developing metabolic syndrome (MetSyn)
Follow-up
Median 7 years
Methodological detailslongitudinal, tertiary care ambulatory practice
  • Longitudinal
  • Tertiary care ambulatory practice

Main finding

Developing MetSyn · during the study period

Adjusted hazard ratio

1.45

95% CI 1.02–2.06

P = 0.04

By group

Depression and/or anxiety

75.3 cases per 100 person-years

Without

47.6 cases per 100 person-years

Depression and/or anxietyvs Without
aHR 1.45 (95% CI 1.02–2.06); P = 0.04

As reported in the abstract

Observational data: associations, not effects.

Further findings

Developing MetSyn: depression

Association primarily driven by depression, aHR
1.56 (95% CI 1.10-2.20, P = .01)

History of depression and/or anxiety at first visit

Proportion with history of depression and/or anxiety; a third prescribed antidepressants or anxiolytics
33.0%

Original publication

Depression, Anxiety, and Risk of Metabolic Syndrome in Women With Polycystic Ovary Syndrome: A Longitudinal Study. J Clin Endocrinol Metab. Published 13 April 2024. doi:10.1210/clinem/dgae256

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.