Global Epidemiology and Burden of Schizophrenia: Findings From the Global Burden of Disease Study 2016

精神分裂症(面向对象编程) 疾病负担 流行病学 疾病负担 医学 疾病 人口学 潜在生命损失数年 流行 置信区间 老年学 精神科 环境卫生 人口 预期寿命 内科学 社会学
作者
Fiona J Charlson,Alize J Ferrari,Damian Santomauro,Sandra Diminic,Emily Stockings,James G. Scott,John J. McGrath,Harvey Whiteford
出处
期刊:Schizophrenia Bulletin [Oxford University Press]
卷期号:44 (6): 1195-1203 被引量:1170
标识
DOI:10.1093/schbul/sby058
摘要

The global burden of disease (GBD) studies have derived detailed and comparable epidemiological and burden of disease estimates for schizophrenia. We report GBD 2016 estimates of schizophrenia prevalence and burden of disease with disaggregation by age, sex, year, and for all countries. We conducted a systematic review to identify studies reporting the prevalence, incidence, remission, and/or excess mortality associated with schizophrenia. Reported estimates which met our inclusion criteria were entered into a Bayesian meta-regression tool used in GBD 2016 to derive prevalence for 20 age groups, 7 super-regions, 21 regions, and 195 countries and territories. Burden of disease estimates were derived for acute and residual states of schizophrenia by multiplying the age-, sex-, year-, and location-specific prevalence by 2 disability weights representative of the disability experienced during these states. The systematic review found a total of 129 individual data sources. The global age-standardized point prevalence of schizophrenia in 2016 was estimated to be 0.28% (95% uncertainty interval [UI]: 0.24–0.31). No sex differences were observed in prevalence. Age-standardized point prevalence rates did not vary widely across countries or regions. Globally, prevalent cases rose from 13.1 (95% UI: 11.6–14.8) million in 1990 to 20.9 (95% UI: 18.5–23.4) million cases in 2016. Schizophrenia contributes 13.4 (95% UI: 9.9–16.7) million years of life lived with disability to burden of disease globally. Although schizophrenia is a low prevalence disorder, the burden of disease is substantial. Our modeling suggests that significant population growth and aging has led to a large and increasing disease burden attributable to schizophrenia, particularly for middle income countries.
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