PSYCHIATRY / CLINICAL RESEARCH
The burden of depression among women of childbearing age globally from 1990 to 2019
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1
Department of Intensive Care Unit, Beilun District People’s Hospital, Ningbo, Zhejiang, China
2
Department of Gynecology, Beilun District People’s Hospital, Ningbo, Zhejiang, China
3
Precision Medicine Research Center, Beilun District People’s Hospital, Ningbo, Zhejiang, China
4
Beilun District People’s Hospital, Ningbo, Zhejiang, China
Submission date: 2024-10-19
Final revision date: 2025-06-27
Acceptance date: 2025-07-13
Online publication date: 2025-08-23
Corresponding author
Jiali Xu
Beilun District
People’s Hospital
Ningbo 315800, China
KEYWORDS
TOPICS
ABSTRACT
Introduction:
We aimed to estimate the incidence of depression among women of childbearing age between 1990 and 2019 in terms of age, sex, country, and Socio-Demographic Index (SDI).
Material and methods:
This study analyzed trends in age-standardized incidence rates (ASIR) and disability-adjusted life years (DALYs) using data from the Global Burden of Disease Study. We calculated the estimated annual percentage change (EAPC) and its corresponding 95% confidence interval (CI).
Results:
From 1990 to 2019, the ASIR (per 100,000) and age-standardized DALY rate (per 100,000) of depression in women of childbearing age showed a decreasing trend, with EAPC values of –0.53 and –0.44, respectively. Singapore’s ASIR and Cuba’s age-standardized DALY rate had the lowest EAPC (–2.24 and –2.11). Among the 21 geographical regions, the ASIR and DALY in Central Latin America had the highest EAPC (EAPC of 0.74 and 0.66, respectively), while East Asia had the lowest EAPC (–1.79 and –1.45, respectively). When looking at the changes in ASIR and age-standardized DALY rates from a national perspective, Mexico, Spain, and Germany had the largest increases in ASIR and age-standardized DALY rates. The EAPCs of depression ASIR in women of childbearing age were 1.55, 1.46, and 1.17, respectively, and the EAPCs of depression age-standardized DALY rates in women of childbearing age were 1.40, 1.29, and 1.01, respectively.
Conclusions:
From 1990 to 2019, there was a consistent downward trend in the burden of depression in women of childbearing age globally. However, certain countries and regions such as Central Latin America (including Mexico) experienced an upward trend in ASIR and age-standardized DALY rates.
REFERENCES (37)
1.
Stein C, Stein C, Fat DM, et al. Global Burden of Disease 2000: Version 2, Methods and Results. Global Program on Evidence for Health Policy Discussion Paper 50. 2010.
2.
GBD 2019 Mental Disorders Collaborators. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry 2022; 9: 137-50.
3.
Rihmer Z, Rihmer A. Depression and suicide - the role of underlying bipolarity. Psychiatr Hung 2019; 34: 359-68.
4.
Berardelli I, Serafini G, Cortese N, Fiaschè F, O’Connor RC, Pompili M. The involvement of hypothalamus-pituitary-adrenal (HPA) axis in suicide risk. Brain Sci 2020; 10: 653.
5.
Sun Q, Li G, Zhao F, et al. Role of estrogen in treatment of female depression. Aging 2024; 16: 3021-42.
6.
Hyde JS, Mezulis AH. Gender differences in depression: biological, affective, cognitive, and sociocultural factors. Harv Rev Psychiatry 2020; 28: 4-13.
7.
Kuehner C. Why is depression more common among women than among men? Lancet Psychiatry 2017; 4: 146-58.
8.
Schlax J, Jünger C, Beutel ME, et al. Income and education predict elevated depressive symptoms in the general population: results from the Gutenberg health study. BMC Public Health 2019;19: 430.
9.
Kosidou K, Dalman C, Lundberg M, Hallqvist J, Isacsson G, Magnusson C. Socioeconomic status and risk of psychological distress and depression in the Stockholm Public Health Cohort: a population-based study. J Affect Disord 2011; 134: 160-7.
10.
Kennedy SH, Ceniti AK. Unpacking major depressive disorder: from classification to treatment selection. Can J Psychiatry 2018; 63: 308-13.
11.
Ferrari AJ, Charlson FJ, Norman RE, et al. The epidemiological modelling of major depressive disorder: application for the Global Burden of Disease Study 2010. PLoS One 2013; 8: e69637.
12.
Collaborators. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396: 1204-22.
13.
GBD 2019 Diseases and Injuries Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392: 1789-858.
14.
GBD 2017 Mortality Collaborators. Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392: 1684-735.
15.
GBD 2019 Demographics Collaborators. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950-2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396: 1160-203.
16.
Ustün TB, Ayuso-Mateos JL, Chatterji S, Mathers C, Murray CJ. Global burden of depressive disorders in the year 2000. Br J Psychiatry 2004; 184: 386-92.
17.
Whiteford HA, Degenhardt L, Rehm J, et al. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet 2013; 382: 1575-86.
18.
GBD 2015 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388: 1545-602.
19.
Fekadu A, Demissie M, Birhane R, et al. Under detection of depression in primary care settings in low and middle-income countries: a systematic review and meta-analysis. Syst Rev 2022; 11: 21.
20.
Javed A, Lee C, Zakaria H, et al. Reducing the stigma of mental health disorders with a focus on low- and middle-income countries. Asian J Psychiatry 2021; 58: 102601.
21.
Castaldelli-Maia JM, Bhugra D. Analysis of global prevalence of mental and substance use disorders within countries: focus on sociodemographic characteristics and income levels. Int Rev Psychiatry 2022; 34: 6-15.
22.
Henking C, Reeves A, Chrisinger B. Global inequalities in mental health problems: understanding the predictors of lifetime prevalence, treatment utilisation and perceived helpfulness across 111 countries. Prev Med 2023; 177: 107769.
23.
Abdin E, Chong SA, Vaingankar JA, et al. Impact of mental disorders and chronic physical conditions on quality-adjusted life years in Singapore. Sci Rep 2020; 10: 2695.
24.
Lim GY, Tam WW, Lu Y, Ho CS, Zhang MW, Ho RC. Prevalence of depression in the community from 30 countries between 1994 and 2014. Sci Rep 2018; 8: 2861.
25.
Li J, Xu Z, Wang H, Li L, Zhu H. Geospatial analysis of spatial distribution, patterns, and relationships of health status in the belt and road initiative. Sci Rep 2024; 14: 204.
26.
Kimokoti RW, Hamer DH. Nutrition, health, and aging in sub-Saharan Africa. Nutr Rev 2008; 66: 611-23.
27.
Makuta I, O’Hare B. Quality of governance, public spending on health and health status in Sub Saharan Africa: a panel data regression analysis. BMC Public Health 2015; 15: 932.
28.
Hopcroft RL, Bradley DBJSF. The sex difference in depression across 29 countries. Social Forces 2007; 85: 1483-507.
29.
Haggag AK, Geser W, Ostermann H, Schusterschitz C. Relation of work family conflict and role quality on depressive symptoms in mothers. J Public Health 2012; 20: 661-71.
30.
Van de Velde S, Huijts T, Bracke P, Bambra C. Macro-level gender equality and depression in men and women in Europe. Sociol Health Illn 2013; 35: 682-98.
31.
Braund TA, Baker STE, Subotic-Kerry M, et al. Potential mental health-related harms associated with the universal screening of anxiety and depressive symptoms in Australian secondary schools. Child Adolesc Psychiatry Ment Health 2024; 18: 46.
32.
Eftekhari MB, Forouzan AS, Mirabzadeh A, et al. Mental health priorities in Iranian women: overview of social determinants of mental health. Iran J Psychiatry 2014; 9: 241-7.
33.
Rajkumar RP. The relationship between access to abortion and mental health in women of childbearing age: analyses of data from the global burden of disease studies. Cureus 2022; 14: e31433.
34.
Cao F, Li DP, Wu GC, et al. Global, regional and national temporal trends in prevalence for musculoskeletal disorders in women of childbearing age, 1990–2019: an age-period-cohort analysis based on the Global Burden of Disease Study 2019. Ann Rheum Dis 2024; 83: 121-32.
35.
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.
36.
Zhang Y, Jia X, Yang Y, Sun N, Shi S, Wang W. Change in the global burden of depression from 1990-2019 and its prediction for 2030. J Psychiatr Res 2024; 178: 16-22.
37.
Huynh TB, Oddo VM, Trejo B, et al. Association between informal employment and depressive symptoms in 11 cities in Latin America. SSM Popul Health 2022; 18: 101101.