Evidence map›Paper›PMID 42826316›Full record

ArticleMedicine2026

Non-HIV sexually transmitted infections among women of childbearing age: A population-based analysis of GBD 2021 trends, inequalities, and projections.

Zhen An, Liangchen You, Xinlei Guan, Yuhong Wang, Mengdie Zhang, Bin Li

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhen AnDepartment of Obstetrics, First People's Hospital of Xinxiang, Xinxiang, Henan, China.ORCID 0009-0000-0554-534
Liangchen YouDepartment of Orthopedic Surgery, The Fifth Clinical College of Henan Medical University, Xinxiang, Henan, China.
Xinlei GuanDepartment of Gynecology, First Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Yuhong WangDepartment of Obstetrics, First Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Mengdie ZhangMedical Genetic and Prenatal Diagnosis Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Bin LiDepartment of Orthopedic Surgery, First People's Hospital of Xinxiang, Xinxiang, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-HIV sexually transmitted infections (STIs) among women of childbearing age (WCBA) are a major cause of severe long-term reproductive health sequelae. However, a comprehensive analysis of the spatiotemporal trends, health inequalities, and future predictions of the disease burden specific to this population, based on global data, is still lacking. This study conducted a secondary analysis based on the Global Burden of Disease 2021 data to systematically estimate the burden of non-HIV STIs among WCBA globally from 1990 to 2021. We integrated multiple analytical approaches, including Joinpoint regression analysis, health inequality assessment (involving Sociodemographic Index [SDI] correlation and concentration index analysis), and predictive modeling, to comprehensively reveal the spatiotemporal evolution, inequalities, and future trends of the disease burden. Globally, the incidence and prevalence of non-HIV STIs showed fluctuating, nonlinear temporal patterns over the past 3 decades, while disability-adjusted life years (DALYs) displayed no sustained long-term decline. Trichomoniasis and chlamydial infection were the most significant contributors to the overall burden. The distribution of the disease burden revealed substantial geographical inequalities, with DALYs showing a strong negative correlation with SDI (R = -0.59, P < .001). Low-SDI regions, such as Western sub-Saharan Africa, bore the highest burden, whereas Western Europe had the lowest. Health inequality assessment indicated that although inequalities related to DALYs modestly improved, incidence-based inequalities intensified. Under a projection scenario based on historical age-period-cohort patterns, global incidence and DALY rates are projected to increase, exceeding 14,000 cases and 40 DALYs per 100,000 population by 2050, respectively. The burden of non-HIV STIs among WCBA remains persistent and unequally distributed globally. Model-based projections suggest that this burden may increase if historical patterns continue. New infections are increasingly concentrated among socioeconomically disadvantaged groups. These findings support targeted and equity-oriented prevention strategies to reduce disease burden and promote health equity.

Indexed as

Global Burden of DiseaseSexually Transmitted DiseasesAdolescentAdultDisability-Adjusted Life YearsFemaleGlobal HealthHumansIncidencePrevalenceSocioeconomic Disparities in HealthSocioeconomic FactorsYoung AdultepidemiologyGlobal Burden of Disease 2021non-HIV STIsWCBA

Identifiers

PMID42826316
PMCPMC13633026

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.