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

Published online by Cambridge University Press:  11 December 2023

Jianbo Lai ,
Shuting Li ,
Chen Wei ,
Jun Chen ,
Yiru Fang Open the ORCID record for Yiru Fang [Opens in a new window] ,
Peige Song Open the ORCID record for Peige Song [Opens in a new window]  and
Shaohua Hu Open the ORCID record for Shaohua Hu [Opens in a new window]
Jianbo Lai
Affiliation:
Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Management of Mental Disorder in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China; Department of Neurobiology, NHC and CAMS Key Laboratory of Medical Neurobiology, School of Brain Science and Brian Medicine, Zhejiang University School of Medicine, Hangzhou, China; and Ministry of Education Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University School of Medicine, Hangzhou, China
Shuting Li
Affiliation:
School of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
Chen Wei
Affiliation:
Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
Jun Chen
Affiliation:
Department of Psychiatry & Affective Disorders Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China; and Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
Yiru Fang
Affiliation:
Department of Psychiatry & Affective Disorders Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China; and Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
Peige Song
Affiliation:
School of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
Shaohua Hu*
Affiliation:
Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Management of Mental Disorder in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China; Department of Neurobiology, NHC and CAMS Key Laboratory of Medical Neurobiology, School of Brain Science and Brian Medicine, Zhejiang University School of Medicine, Hangzhou, China; and Ministry of Education Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University School of Medicine, Hangzhou, China;
*
Correspondence: Shaohua Hu. Email: dorhushaohua@zju.edu.cn
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Abstract

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.

Keywords

Bipolar disorderburdenprevalenceincidencetrend analysis
Type
Original Article
Information
The British Journal of Psychiatry , Volume 224 , Issue 2 , February 2024 , pp. 36 - 46
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists

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Footnotes

*

Joint first authors.

**

Joint senior authors.

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