Caio B Casella,Antonis A Kousoulis,Brandon A Kohrt,Jason Bantjes,Christian Kieling,Pim Cuijpers,Sarah Kline,Konstantinos Kotsis,Guilherme V Polanczyk,Dan J Stein,Peter Szatmari,Kathleen R Merikangas,Zeina Mneimneh,Giovanni A Salum
{"title":"世界各地精神健康状况流行率方面的数据缺口:对具有国家代表性数据的回顾性分析。","authors":"Caio B Casella,Antonis A Kousoulis,Brandon A Kohrt,Jason Bantjes,Christian Kieling,Pim Cuijpers,Sarah Kline,Konstantinos Kotsis,Guilherme V Polanczyk,Dan J Stein,Peter Szatmari,Kathleen R Merikangas,Zeina Mneimneh,Giovanni A Salum","doi":"10.1016/s2214-109x(24)00563-1","DOIUrl":null,"url":null,"abstract":"BACKGROUND\r\nMental health conditions contribute substantially to the global burden of disease, affecting quality of life and leading to increased health-care expenses and mortality. Accurate data on the prevalence and correlates of these disorders are crucial for policy making, advocacy, and improving population health, but there are notable gaps in the available data on the magnitude of mental health difficulties around the world. This study aims to identify and quantify the data gaps on mental disorders across the lifespan in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021.\r\n\r\nMETHODS\r\nWe analysed the nationally representative data sources used by GBD 2021 on 11 mental health conditions, including neurodevelopmental disorders and neurodivergence, general psychiatric disorders, and substance-use disorders. Our analysis focused on the geographical origin of the data sources, the age groups and mental health conditions or neurodivergence covered, and temporal trends on the scientific production of data.\r\n\r\nFINDINGS\r\nGBD 2021 identified 1241 unique nationally representative data sources for mental health conditions since 1950. Neurodevelopmental disorders and neurodivergence had the least coverage, with less than 13% of countries having prevalence data. Low-income countries had the largest data gap, with no data on neurodevelopmental disorders and neurodivergence, only 29% with any data on general psychiatric disorders, and 21% with data on substance-use disorders. The African and Western Pacific regions had the largest data gaps, and children were the least covered demographic: almost 90% of countries did not have any data for children. Most data (70-80% across disorders) were obtained before 2010.\r\n\r\nINTERPRETATION\r\nSubstantial gaps in prevalence data persist globally, particularly in children and in low-income countries. Despite increased scientific production in the 2000s, most mental disorders remain under-represented. Coordinated global efforts are required to enhance mental health data collection and address these gaps.\r\n\r\nFUNDING\r\nCoordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil.","PeriodicalId":48783,"journal":{"name":"Lancet Global Health","volume":"42 1","pages":"e879-e887"},"PeriodicalIF":19.9000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data gaps in prevalence rates of mental health conditions around the world: a retrospective analysis of nationally representative data.\",\"authors\":\"Caio B Casella,Antonis A Kousoulis,Brandon A Kohrt,Jason Bantjes,Christian Kieling,Pim Cuijpers,Sarah Kline,Konstantinos Kotsis,Guilherme V Polanczyk,Dan J Stein,Peter Szatmari,Kathleen R Merikangas,Zeina Mneimneh,Giovanni A Salum\",\"doi\":\"10.1016/s2214-109x(24)00563-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND\\r\\nMental health conditions contribute substantially to the global burden of disease, affecting quality of life and leading to increased health-care expenses and mortality. Accurate data on the prevalence and correlates of these disorders are crucial for policy making, advocacy, and improving population health, but there are notable gaps in the available data on the magnitude of mental health difficulties around the world. This study aims to identify and quantify the data gaps on mental disorders across the lifespan in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021.\\r\\n\\r\\nMETHODS\\r\\nWe analysed the nationally representative data sources used by GBD 2021 on 11 mental health conditions, including neurodevelopmental disorders and neurodivergence, general psychiatric disorders, and substance-use disorders. Our analysis focused on the geographical origin of the data sources, the age groups and mental health conditions or neurodivergence covered, and temporal trends on the scientific production of data.\\r\\n\\r\\nFINDINGS\\r\\nGBD 2021 identified 1241 unique nationally representative data sources for mental health conditions since 1950. Neurodevelopmental disorders and neurodivergence had the least coverage, with less than 13% of countries having prevalence data. Low-income countries had the largest data gap, with no data on neurodevelopmental disorders and neurodivergence, only 29% with any data on general psychiatric disorders, and 21% with data on substance-use disorders. The African and Western Pacific regions had the largest data gaps, and children were the least covered demographic: almost 90% of countries did not have any data for children. 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Data gaps in prevalence rates of mental health conditions around the world: a retrospective analysis of nationally representative data.
BACKGROUND
Mental health conditions contribute substantially to the global burden of disease, affecting quality of life and leading to increased health-care expenses and mortality. Accurate data on the prevalence and correlates of these disorders are crucial for policy making, advocacy, and improving population health, but there are notable gaps in the available data on the magnitude of mental health difficulties around the world. This study aims to identify and quantify the data gaps on mental disorders across the lifespan in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021.
METHODS
We analysed the nationally representative data sources used by GBD 2021 on 11 mental health conditions, including neurodevelopmental disorders and neurodivergence, general psychiatric disorders, and substance-use disorders. Our analysis focused on the geographical origin of the data sources, the age groups and mental health conditions or neurodivergence covered, and temporal trends on the scientific production of data.
FINDINGS
GBD 2021 identified 1241 unique nationally representative data sources for mental health conditions since 1950. Neurodevelopmental disorders and neurodivergence had the least coverage, with less than 13% of countries having prevalence data. Low-income countries had the largest data gap, with no data on neurodevelopmental disorders and neurodivergence, only 29% with any data on general psychiatric disorders, and 21% with data on substance-use disorders. The African and Western Pacific regions had the largest data gaps, and children were the least covered demographic: almost 90% of countries did not have any data for children. Most data (70-80% across disorders) were obtained before 2010.
INTERPRETATION
Substantial gaps in prevalence data persist globally, particularly in children and in low-income countries. Despite increased scientific production in the 2000s, most mental disorders remain under-represented. Coordinated global efforts are required to enhance mental health data collection and address these gaps.
FUNDING
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil.
期刊介绍:
The Lancet Global Health is an online publication that releases monthly open access (subscription-free) issues.Each issue includes original research, commentary, and correspondence.In addition to this, the publication also provides regular blog posts.
The main focus of The Lancet Global Health is on disadvantaged populations, which can include both entire economic regions and marginalized groups within prosperous nations.The publication prefers to cover topics related to reproductive, maternal, neonatal, child, and adolescent health; infectious diseases (including neglected tropical diseases); non-communicable diseases; mental health; the global health workforce; health systems; surgery; and health policy.