Mapping the global, regional and national burden of bipolar disorder from 1990 to 2019: trend analysis on the Global Burden of Disease Study 2019

人口学 入射(几何) 流行病学 疾病负担 医学 队列 疾病负担 人口 双相情感障碍 队列研究 代群效应 儿科 环境卫生 精神科 内科学 光学 物理 社会学 认知
作者
Jianbo Lai,Shuting Li,Wei Chen,Jun Chen,Yiru Fang,Peige Song,Shaohua Hu
出处
期刊:British Journal of Psychiatry [Cambridge University Press]
卷期号:224 (2): 36-46 被引量:17
标识
DOI:10.1192/bjp.2023.127
摘要

Background Data on trends in the epidemiological burden of bipolar disorder are scarce. Aims To provide an overview of trends in bipolar disorder burden from 1990 to 2019. Method Revisiting the Global Burden of Disease Study 2019, we analysed the number of cases, calculated the age-standardised rate (per 100 000 population) and estimated annual percentage change (EAPC) of incidence, prevalence and years lived with disability (YLDs) for bipolar disorder from 1990 to 2019. The independent effects of age, period and cohort were estimated by the age–period–cohort modelling. Results Globally, the bipolar disorder-related prevalent cases, incident cases and number of YLDs all increased from 1990 to 2019. Regionally, the World Health Organization Region of the Americas accounted for the highest estimated YLD number and rate, with the highest age-standardised prevalence rate in 1990 and 2019 and highest EAPC of prevalence. By sociodemographic index (SDI) quintiles, all five SDI regions saw an increase in estimated incident cases. Nationally, New Zealand reported the highest age-standardised rate of incidence, prevalence and YLDs in 1990 and 2019. The most prominent age effect on incidence rate was in those aged 15–19 years. Decreased effects of period on incidence, prevalence and YLD rates was observed overall and in females, not in males. The incidence, prevalence and YLD rates showed an unfavourable trend in the younger cohorts born after 1990, with males reporting a higher cohort risk than females. Conclusions From 1990 to 2019, the overall trend of bipolar disorder burden presents regional and national variations and differs by age, sex, period and cohort.
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