Integrated DHS-GBD dataset for mental health research in Sub-Saharan Africa (2016-2022)

Abstract

This dataset contains harmonised Demographic and Health Surveys (DHS) socioeconomic indicators linked with Global Burden of Disease (GBD) 2021 estimates for mental health outcomes across 10 Sub-Saharan African countries (Cameroon, Ethiopia, Ghana, Kenya, Madagascar, Nigeria, Rwanda, Sierra Leone, South Africa, United Republic of Tanzania) for the period 2016-2022. The dataset includes: · GBD outcome variables: YLDs (Years Lived with Disability) and DALYs (Disability-Adjusted Life Years) for depressive disorders, anxiety disorders, and mental disorders combined · GBD uncertainty intervals (upper and lower bounds) from 1,000 posterior draws · DHS-derived socioeconomic predictors: wealth index (standardised), urban proportion, employment rate, secondary education proportion, and sample size The dataset has 372 rows and 23 columns. Each row represents a unique combination of country, year, sex, cause, and measure. All personally identifiable information has been removed. This dataset is used in: 1. Paper A: "Quantifying Spurious Precision in Integrated Global Health Estimates: A GATHER-Informed Framework for Uncertainty Propagation" (BMC Medical Research Methodology) 2. Paper B: "Socioeconomic and Demographic Correlates of Depressive and Anxiety Disorders in Sub-Saharan Africa" (BMC Public Health) 3. PhD Thesis “Cross National Epidemiological Analysis and Predictive Modelling of Mental Health Burden Using Demographic and Health Surveys and Global Burden of Disease Data: A GATHER-Compliant Modelling Study” Nasarawa State University Keffi, Nigeria Data sources: · DHS Program (https://dhsprogram.com): data used with permission · GBD Study (https://ghdx.healthdata.org): data used under terms of use For questions: effiongneffiong@gmail.com