{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T21:32:03Z","timestamp":1792704723656,"version":"4.5.0"},"reference-count":40,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T00:00:00Z","timestamp":1716163200000},"content-version":"unspecified","delay-in-days":140,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Epidemiol Psychiatr Sci"],"published-print":{"date-parts":[[2024]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"S2045796024000295_sec1a\">\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>Caused by multiple risk factors, heavy burden of major depressive disorder (MDD) poses serious challenges to public health worldwide over the past 30 years. Yet the burden and attributable risk factors of MDD were not systematically known. We aimed to reveal the long-term spatio-temporal trends in the burden and attributable risk factors of MDD at global, regional and national levels during 1990\u20132019.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S2045796024000295_sec2b\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We obtained MDD and attributable risk factors data from Global Burden of Disease Study 2019. We used joinpoint regression model to assess the temporal trend in MDD burden, and age\u2013period\u2013cohort model to measure the effects of age, period and birth cohort on MDD incidence rate. We utilized population attributable fractions (PAFs) to estimate the specific proportions of MDD burden attributed to given risk factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S2045796024000295_sec3c\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>During 1990\u20132019, the global number of MDD incident cases, prevalent cases and disability-adjusted life years (DALYs) increased by 59.10%, 59.57% and 58.57%, respectively. Whereas the global age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR) and age-standardized DALYs rate (ASDR) of MDD decreased during 1990\u20132019. The ASIR, ASPR and ASDR in women were 1.62, 1.62 and 1.60 times as that in men in 2019, respectively. The highest age-specific incidence, prevalence and DALYs rate occurred at the age of 60\u201364 in women, and at the age of 75\u201384 in men, but the maximum increasing trends in these age-specific rates occurred at the age of 5\u20139. Population living during 2000\u20132004 had higher risk of MDD. MDD burden varied by socio-demographic index (SDI), regions and nations. In 2019, low-SDI region, Central sub-Saharan Africa and Uganda had the highest ASIR, ASPR and ASDR. The global PAFs of intimate partner violence (IPV), childhood sexual abuse (CSA) and bullying victimization (BV) were 8.43%, 5.46% and 4.86% in 2019, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S2045796024000295_sec4d\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Over the past 30 years, the global ASIR, ASPR and ASDR of MDD had decreased trends, while the burden of MDD was still serious, and multiple disparities in MDD burden remarkably existed. Women, elderly and populations living during 2000\u20132004 and in low-SDI regions, had more severe burden of MDD. Children were more susceptible to MDD. Up to 18.75% of global MDD burden would be eliminated through early preventing against IPV, CSA and BV. Tailored strategies-and-measures in different regions and demographic groups based on findings in this studywould be urgently needed to eliminate the impacts of modifiable risk factors on MDD, and then mitigate the burden of MDD.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1017\/s2045796024000295","type":"journal-article","created":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T00:21:46Z","timestamp":1716164506000},"source":"Crossref","is-referenced-by-count":54,"title":["The long-term spatio-temporal trends in burden and attributable risk factors of major depressive disorder at global, regional and national levels during 1990\u20132019: a systematic analysis for GBD 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