Chukwuemeka N Okafor, Ducel Jean-Berluche, Jason Paltzer, Elizabeth Kwon, Nikolitsa Grigoropoulou, Tyler J VanderWeele, Byron R Johnson
{"title":"A cross-national analysis of demographic variation in self-rated mental health across 22 countries.","authors":"Chukwuemeka N Okafor, Ducel Jean-Berluche, Jason Paltzer, Elizabeth Kwon, Nikolitsa Grigoropoulou, Tyler J VanderWeele, Byron R Johnson","doi":"10.1038/s43856-025-01038-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Mental health is a critical aspect of overall well-being, encompassing not only the absence of mental disorders but also positive attributes such as stress management, and healthy relationships. Prior studies suggest that self-rated mental health varies across different cultures and sociodemographic characteristics. However, most studies on demographic variations in self-rated mental health have been conducted within specific countries or regions, leaving a gap in our understanding of how these factors influence mental health across different cultural contexts.</p><p><strong>Methods: </strong>To address this gap, we leveraged a dataset of over 200,000 individuals from 22 countries to examine the distribution of self-rated mental health among key demographic variables such as age, gender, marital status, employment, education, and religious service attendance.</p><p><strong>Results: </strong>Our findings reveal substantial country variations in self-rated mental health, measured as the mean score on a single-item Likert scale ranging from 0 (Poor) to 10 (Excellent). Participants in Tanzania, Kenya and Nigeria report the highest self-rated mental health scores, while those in Japan, Türkiye, and the United Kingdom report the lowest scores. Some demographic patterns - such as lower self-rated mental health among younger age groups and females, and higher self-rated mental health among those reporting regular religious service attendance - remain consistent across most countries. However, other patterns, such as the distribution of self-rated mental health by marital status, vary by country.</p><p><strong>Conclusions: </strong>These descriptive findings highlight the need for context-specific mental health strategies and call for future research to identify social and structural factors of self-rated mental health.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"5 1","pages":"320"},"PeriodicalIF":5.4000,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12313904/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s43856-025-01038-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Mental health is a critical aspect of overall well-being, encompassing not only the absence of mental disorders but also positive attributes such as stress management, and healthy relationships. Prior studies suggest that self-rated mental health varies across different cultures and sociodemographic characteristics. However, most studies on demographic variations in self-rated mental health have been conducted within specific countries or regions, leaving a gap in our understanding of how these factors influence mental health across different cultural contexts.
Methods: To address this gap, we leveraged a dataset of over 200,000 individuals from 22 countries to examine the distribution of self-rated mental health among key demographic variables such as age, gender, marital status, employment, education, and religious service attendance.
Results: Our findings reveal substantial country variations in self-rated mental health, measured as the mean score on a single-item Likert scale ranging from 0 (Poor) to 10 (Excellent). Participants in Tanzania, Kenya and Nigeria report the highest self-rated mental health scores, while those in Japan, Türkiye, and the United Kingdom report the lowest scores. Some demographic patterns - such as lower self-rated mental health among younger age groups and females, and higher self-rated mental health among those reporting regular religious service attendance - remain consistent across most countries. However, other patterns, such as the distribution of self-rated mental health by marital status, vary by country.
Conclusions: These descriptive findings highlight the need for context-specific mental health strategies and call for future research to identify social and structural factors of self-rated mental health.