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Mapping burdens and inequalities of polycystic ovary syndrome in young females across 953 locations 1990–2040 with deep learning forecasts

2026-04-17Artigo científico Acesso aberto
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dc.contributor.authorWu, Yaling
dc.contributor.authorCai, Wenxiang
dc.contributor.authorChen, Mao
dc.contributor.authorLuo, Susu
dc.contributor.authorNorman, Robert J.
dc.contributor.authorKhomami, Mahnaz Bahri
dc.contributor.authorMoran, Lisa
dc.contributor.authorZhang, Heping
dc.contributor.authorSamarasinghe, Suhaniya N.S.
dc.contributor.authorRawaf, Salman
dc.contributor.authorEhrmann, Davd A.
dc.contributor.authorPan, Liming
dc.contributor.authorDing, Kexin
dc.contributor.authorMa, Shuxian
dc.contributor.authorZheng, Lili
dc.contributor.authorShao, Xian
dc.contributor.authorZuo, You
dc.contributor.authorHuang, Baozhen
dc.contributor.authorLi, Fei
dc.contributor.authorXue, Mingyang
dc.contributor.authorShang, Tongrui
dc.contributor.authorCai, Guangyao
dc.contributor.authorChen, Yuanyuan
dc.contributor.authorWang, Ying
dc.contributor.authorLu, Yutong
dc.contributor.authorWang, Dong
dc.contributor.authorWan, Yuanyuan
dc.contributor.authorWu, Ningning
dc.contributor.authorLin, Ciqing
dc.contributor.authorPan, Wei
dc.contributor.authorZhang, Rui
dc.contributor.authorYao, Tingting
dc.contributor.authorXiong, Yiming
dc.contributor.authorChen, Kai
dc.contributor.authorZhao, Jianli
dc.contributor.authorLi, Shunrong
dc.contributor.authorZhu, Liling
dc.contributor.authorTan, Luyuan
dc.contributor.authorZeng, Yinduo
dc.contributor.authorZeng, You
dc.contributor.authorSzarpak, Lukasz
dc.contributor.authorHamdy, Nadia M.
dc.contributor.authorZhong, Claire Chenwen
dc.contributor.authorYuan, Fa
dc.contributor.authorChu, Yihang
dc.contributor.authorJia, Xiao
dc.contributor.authorWu, Peng
dc.contributor.authorWei, Linjiang
dc.contributor.authorYe, Yanfang
dc.contributor.authorConde, João
dc.contributor.authorWu, Zimeng
dc.contributor.authorZhang, Jinjin
dc.contributor.authorTang, Yamei
dc.contributor.authorYe, Pengpeng
dc.contributor.authorYang, Dongzi
dc.contributor.authorWang, Shixuan
dc.contributor.authorMajeed, Azeem
dc.contributor.authorTeede, Helena
dc.contributor.authorJin, Wenyi
dc.contributor.authorLin, Queran
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
dc.contributor.institutionCentre for Toxicogenomics and Human Health (ToxOmics)
dc.contributor.pblElsevier
dc.date.accessioned2026-04-15T13:55:02Z
dc.date.available2026-04-15T13:55:02Z
dc.date.issued2026-04-17
dc.descriptionPublisher Copyright: © 2026 The Author(s)
dc.description.abstractPolycystic ovary syndrome (PCOS) is the most common reproductive endocrine disorder impacting the health of young female populations. Using harmonized estimates from 953 locations, we assessed temporal trends, geographic inequalities, and forecasts of PCOS among individuals aged 10–24 years from 1990 to 2040. Between 1990 and 2021, global prevalence and disability burden increased by more than 30%, with the highest burden observed among those aged 20–24 years. Substantial geographic heterogeneity was identified, with particularly high prevalence in Europe and East Asia. While high-income regions carried the greatest absolute burden, low- and middle-income regions showed the fastest growth, accompanied by widening socio-economic inequalities. Forecasting analyses suggest that PCOS burden in young populations will continue to rise through 2040. These findings characterize the evolving global landscape of PCOS, providing evidence to support targeted public health surveillance and prevention strategies for adolescent and young adult populations.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent10675654
dc.identifier.doi10.1016/j.isci.2026.115116
dc.identifier.issn2589-0042
dc.identifier.otherPURE: 160337259
dc.identifier.otherPURE UUID: cb3d06de-d64f-4342-a4aa-f591fc33cffa
dc.identifier.otherScopus: 105034666275
dc.identifier.urihttp://hdl.handle.net/10362/202246
dc.identifier.urlhttps://www.scopus.com/pages/publications/105034666275
dc.language.isoeng
dc.peerreviewedyes
dc.subjecthealth sciences
dc.subjectmedicine
dc.subjectpublic health
dc.subjectreproductive medicine
dc.subjectGeneral
dc.subjectSDG 3 - Good Health and Well-being
dc.titleMapping burdens and inequalities of polycystic ovary syndrome in young females across 953 locations 1990–2040 with deep learning forecastsen
dc.typejournal article
degois.publication.issue4
degois.publication.titleISCIENCE
degois.publication.volume29
dspace.entity.typePublication
rcaap.rightsopenAccess

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