William Douthitt, Jessica H Murray, Shauna L Stahlman
{"title":"Ovarian dysfunction and polycystic ovary syndrome in the U.S. military active component, 2014-2023.","authors":"William Douthitt, Jessica H Murray, Shauna L Stahlman","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>This retrospective cohort study examined ovarian dysfunction diagnosis incidence among female active component service members in the U.S. military from 2014 to 2023 using medical encounter data from the Defense Medical Surveillance System. Ovarian dysfunction diagnosis incidence gradually increased during this period, driven almost entirely by polycystic ovary syndrome (PCOS), of which the incidence increased from 32.0 cases per 10,000 person-years in 2014 to 60.3 cases per 10,000 person-years in 2023. Increases occurred among all demographic subcategories. This study also assessed independent association between ovarian dysfunction and socio-demographic and medical covariates, including COVID-19 infection and vaccination status. History of obesity had the strongest association with PCOS incidence, with an adjusted incident rate ratio (aIRR) of 2.5 and 95% confidence interval (CI) of 2.3-2.6. COVID-19 infection was modestly associated with PCOS incidence (aIRR 1.2; 95% CI, 1.1-1.3). COVID-19 vaccination status was not independently associated with increased PCOS incidence. A potential contributing factor of increased PCOS diagnosis incidence is that recent updates to the diagnostic criteria enabled more clinical and telehealth diagnoses. The increased incidence may also reflect the increasing rate of obesity and other related health burdens in the U.S. military. Incidence of diagnosis of ovarian dysfunction, driven almost entirely by PCOS, increased steadily among female active component service members from 2014 to 2023. This increase in incidence was observed in all demographic subgroups and had the strongest independent association with pre-existing obesity.</p>","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"32 1","pages":"11-17"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11844305/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MSMR","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
This retrospective cohort study examined ovarian dysfunction diagnosis incidence among female active component service members in the U.S. military from 2014 to 2023 using medical encounter data from the Defense Medical Surveillance System. Ovarian dysfunction diagnosis incidence gradually increased during this period, driven almost entirely by polycystic ovary syndrome (PCOS), of which the incidence increased from 32.0 cases per 10,000 person-years in 2014 to 60.3 cases per 10,000 person-years in 2023. Increases occurred among all demographic subcategories. This study also assessed independent association between ovarian dysfunction and socio-demographic and medical covariates, including COVID-19 infection and vaccination status. History of obesity had the strongest association with PCOS incidence, with an adjusted incident rate ratio (aIRR) of 2.5 and 95% confidence interval (CI) of 2.3-2.6. COVID-19 infection was modestly associated with PCOS incidence (aIRR 1.2; 95% CI, 1.1-1.3). COVID-19 vaccination status was not independently associated with increased PCOS incidence. A potential contributing factor of increased PCOS diagnosis incidence is that recent updates to the diagnostic criteria enabled more clinical and telehealth diagnoses. The increased incidence may also reflect the increasing rate of obesity and other related health burdens in the U.S. military. Incidence of diagnosis of ovarian dysfunction, driven almost entirely by PCOS, increased steadily among female active component service members from 2014 to 2023. This increase in incidence was observed in all demographic subgroups and had the strongest independent association with pre-existing obesity.