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Yang CH, Lv JJ, Kong XM, Chu F, Li ZB, Lu W, Li XY. Global, regional and national burdens of depression in adolescents and young adults aged 10-24 years, from 1990 to 2019: findings from the 2019 Global Burden of Disease study. Br J Psychiatry 2024; 225:311-320. [PMID: 38660761 DOI: 10.1192/bjp.2024.69] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
BACKGROUND Depression is a significant mental health concern affecting the overall well-being of adolescents and young adults. Recently, the prevalence of depression has increased among young people. Nonetheless, there is little research delving into the longitudinal epidemiology of adolescent depression over time. AIMS To investigate the longitudinal epidemiology of depression among adolescents and young adults aged 10-24 years. METHOD Our research focused on young people (aged 10-24 years) with depression, using data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019. We explored the age-standardised prevalence, incidence and disability-adjusted life-years (DALYs) of depression in different groups, including various regions, ages, genders and sociodemographic indices, from 1990 to 2019. RESULTS The prevalence, incidence and DALYs of depression in young people increased globally between 1990 and 2019. Regionally, higher-income regions like High-Income North America and Australasia recorded rising age-standardised prevalence and incidence rates, whereas low- or middle-income regions mostly saw reductions. Nationally, countries such as Greenland, the USA and Palestine reported the highest age-standardised prevalence and incidence rates in 2019, whereas Qatar witnessed the largest growth over time. The burden disproportionately affected females across age groups and world regions. The most prominent age effect on incidence and prevalence rates was in those aged 20-24 years. The depression burden showed an unfavourable trend in younger cohorts born after 1980, with females reporting a higher cohort risk than males. CONCLUSIONS Between 1990 and 2019, the general pattern of depression among adolescents varied according to age, gender, time period and generational cohort, across regions and nations.
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Affiliation(s)
- Cheng-Hao Yang
- Department of Vascular Surgery, Shanghai Putuo People's Hospital, School of Medicine, Tongji University, China
| | - Jia-Jie Lv
- Department of Vascular Surgery, Shanghai Putuo People's Hospital, School of Medicine, Tongji University, China; and Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, China
| | - Xiang-Meng Kong
- Department of Cardiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China
| | - Feng Chu
- Department of Vascular Surgery, Shanghai Putuo People's Hospital, School of Medicine, Tongji University, China
| | - Zhi-Bin Li
- Department of Clinical Psychology, Shanghai Putuo People's Hospital, School of Medicine, Tongji University, China
| | - Wei Lu
- Department of Clinical Psychology, Shanghai Putuo People's Hospital, School of Medicine, Tongji University, China
| | - Xin-Yu Li
- Department of Vascular Surgery, Shanghai Putuo People's Hospital, School of Medicine, Tongji University, China; and Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, China
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Xu Y, Li R, Hu C, He Y, Zhang X, Jin L. Global, regional, and national incidence trends of depressive disorder, 1990-2019: An age-period-cohort analysis based on the Global Burden of Disease 2019 study. Gen Hosp Psychiatry 2024; 88:51-60. [PMID: 38508076 DOI: 10.1016/j.genhosppsych.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 03/12/2024] [Accepted: 03/13/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Depressive disorder is a severe global public health problem. It is crucial to evaluate the global incidence trends of depressive disorder. METHODS The incidence data were drawn from the Global Burden of Disease Study (GBD) 2019. Estimates were presented by global and sociodemographic index (SDI) quintiles, and the age-period-cohort (APC) model was used to estimate the incidence trends. RESULTS APC analysis indicated a decline in depressive disorder incidence globally (net drift = -0.24%, 95%CI: -0.29, -0.18), except for an increase in SDI regions (net drift = 0.07, 95%CI:0, 0.14). In high SDI regions, depressive disorder incidence increased among the younger and declined among the elder population, whereas the opposite trend was observed in middle and low-middle SDI regions. The depressive disorder incidence increased significantly among people aged 15 to 24 years after adjusting for age effects, decreased since 2000 after adjusting for period effects and increased rapidly in the birth cohort after 1990 in high SDI by adjusting for cohort effects. CONCLUSION Globally, there was a declining trend of depressive disorder incidence in 1990-2019. Specifically, the incidence was declining globally in younger populations, while increasing in older populations. However, this trend differed depending on the SDI of the region.
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Affiliation(s)
- Yan Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Runhong Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Chengxiang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Yue He
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Xinyao Zhang
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
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Gao P, Cao G, Liu J, Yang F, Liu M. Global, regional, and national trends in incidence of depression among women, 1990-2019: An analysis of the global burden of disease study. Psychiatry Res 2024; 331:115668. [PMID: 38101074 DOI: 10.1016/j.psychres.2023.115668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 08/30/2023] [Accepted: 12/05/2023] [Indexed: 12/17/2023]
Abstract
Depression is a common mental disorder and more women are affected by depression than men. In this study, we aimed to analyze the trends in the incidence of depression among women from 1990 to 2019 and their associations with sociodemographic and universal health coverage indices based on data from the Global Burden of Disease study 2019. It was observed that while the incidence rate of depression among women decreased by an average of 0.35% per year at the global level, the incidence rate increased at the regional level for the high sociodemographic index region by an average of 0.39% per year from 1990 to 2019. And the global downward trend in incidence rate from 1990 to 2019 was contributed by the downward trend from 2000 to 2009. In Spearman correlation analyzes at the level of country/territory, a negative correlation between the estimated annual percentage change in the incidence rate and the universal health coverage index was found (ρ=-0.15).
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Affiliation(s)
- Peng Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China, Address: No.38, Xueyuan Road, Haidian District, Beijing 100191, China
| | - Guiying Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China, Address: No.38, Xueyuan Road, Haidian District, Beijing 100191, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China, Address: No.38, Xueyuan Road, Haidian District, Beijing 100191, China; Institute for Global Health and Development, Peking University, Beijing, China, Address: No.5, Yiheyuan Road, Haidian District, Beijing 100871, China
| | - Fude Yang
- Beijing Huilongguan Hospital, Peking University Huilonguan Clinical Medical School, Beijing, China, Address: No.7 Huilongguan Nandian Road, Changping District, Beijing 100096, China.
| | - Min Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China, Address: No.38, Xueyuan Road, Haidian District, Beijing 100191, China.
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Li M, Gao W, Zhang Y, Luo Q, Xiang Y, Bao K, Zaki N. Secular trends in the incidence of major depressive disorder and dysthymia in China from 1990 to 2019. BMC Public Health 2023; 23:2162. [PMID: 37926849 PMCID: PMC10626640 DOI: 10.1186/s12889-023-17025-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 10/19/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND Depression is increasingly recognized as a worldwide serious, public health concern. A better understanding of depression is important for advancing its management and learning the difference between major depressive disorder (MDD) and dysthymia. Our aim is to conduct a concurrent analysis of the trends of both MDD and dysthymia in China. METHODS The data on depression from 1990 to 2019 were collected from the Global Burden of Disease Study 2019 (GBD 2019). To determine the average annual percent changes (AAPC) and relative risks (RRs), joinpoint regression and the age-period-cohort models were employed, respectively. RESULTS The incidence number of MDD and dysthymia continuously increased in China from 1990 to 2019, however, the age-standardized rates (ASR) had a decreasing trend in both men and women. The results from joinpoint regression showed that a declining trend was presented in young people (< 50 years) but an increased trend in the elderly (≥ 50 years) both in men and women, during 1990-2019. Age is the most influential factor for MDD and dysthymia. Age RRs for MDD incidence had an overall increasing trend with age. Period RR in MDD presented a U-shaped pattern, while Cohort RRs presented an inverted U-shaped pattern. On the other hand, RRs in dysthymia for period and cohort effects had no statistical significance, only the age effect presented an inverted U-shaped pattern. CONCLUSIONS The disparities in trends observed between MDD and dysthymia during the period of 1990-2019 indicated the significance of distinguishing between these two disorders. The age, period and cohort effects all had a greater impact on MDD than on dysthymia, and age effects presented different influential patterns in these two. To alleviate the burden of depressive disorders in China, proactive measures need to be implemented, with particular attention to the elderly population.
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Affiliation(s)
- Ming Li
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China
| | - Wenlong Gao
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China.
| | - Yuqi Zhang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China
| | - Qiuxia Luo
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China
| | - Yuanyuan Xiang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China
| | - Kai Bao
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China
| | - Noha Zaki
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China
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