biostudies-literatureZhu Tstartup found of Zhejiang A & F Universitye45215https://www.ebi.ac.uk/biostudies/studies/S-EPMC12558287biostudies-literatureUnknown104(43)As a severe public health issue, depressive disorders (DD) have caused an increasing burden of disease. The global status of women's DD is underestimated, particularly the burden on women of child-bearing age (WCBA). We aim to investigate the pattern and trend of DD among WCBA from 1990 to 2021. We retrieved data from the Global Burden of Disease Study 2021 on the incidence, prevalence, and disability-adjusted life years (DALYs) in 204 countries and territories from 1990 to 2021. And we calculated the average annual percentage changes in age-standardized incidence rates, age-standardized prevalence rates, and DALYs rates, stratified by age and socio-demographic index (SDI), to quantify temporal trends. Additionally, a Bayesian age-period-cohort model was employed to project age-standardizeMedicineGlobal, regional, and national burden and temporal trends of depressive disorders in women of child-bearing age, 1990 to 2021: A worldwide analysis.PMC12558287No.203402007101Fan YShen YYe XZhu TJin KfalseGlobal, regional, and national burden and temporal trends of depressive disorders in women of child-bearing age, 1990 to 2021: A worldwide analysis.As a severe public health issue, depressive disorders (DD) have caused an increasing burden of disease. The global status of women's DD is underestimated, particularly the burden on women of child-bearing age (WCBA). We aim to investigate the pattern and trend of DD among WCBA from 1990 to 2021. We retrieved data from the Global Burden of Disease Study 2021 on the incidence, prevalence, and disability-adjusted life years (DALYs) in 204 countries and territories from 1990 to 2021. And we calculated the average annual percentage changes in age-standardized incidence rates, age-standardized prevalence rates, and DALYs rates, stratified by age and socio-demographic index (SDI), to quantify temporal trends. Additionally, a Bayesian age-period-cohort model was employed to project age-standardize2025-01-01T00:00:00Z2025 Oct2026-06-05T05:23:12.977Z2026-06-04T03:06:27.25ZS-EPMC125582874113722510.1097/MD.0000000000045215