Does risky behaviour matter for self-reported health status? Evidence from Ghana’s adult population

Purpose This study aims to evaluate the effects of risky behaviour on self-reported health status among the adult population in Ghana. Design/methodology/approach The study uses data from the Ghana Socioeconomic Panel Survey, a nationally representative dataset. Current research focuses on the Ghanaian adult population aged 18 years and above. The study used the endogenous treatment effect for ordered outcomes to address the endogeneity problem and self-selection bias related to risky behaviour decisions. Findings The results show that risky behaviour decreases the likelihood of reporting good health by 16.3% while increasing the probability that an individual will report unhealthy/somewhat unhealthy and somewhat healthy by 5% and 11.3%, respectively. These findings reveal that risky behaviour worsens the health status of smokers and drinkers, leading to poor health. The findings show that women and rural inhabitants are more negatively impacted by risky behaviour than men are, and urban residents in terms of self-reported good health status. The sensitivity analysis suggests that individuals self-perceived that drinking alcohol is worse for their health than smoking is. Originality/value The research contributes fresh empirical evidence to the somewhat limited body of work that explores the effects of risky behaviour on self-reported health, using nationally representative data from Ghana. Also, the study uses the endogenous treatment effect for ordered outcomes to address endogeneity concerns and self-selection bias involving risk behaviour decisions.

Authors

Institutions

Publication Details

Journal
Drugs Habits and Social Policy
Published
2025-03-08
DOI
https://doi.org/10.1108/dhs-05-2024-0022
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does risky behaviour matter for self-reported health status? Evidence from Ghana’s adult population

Jacob Nunoo, Samuel Sekyi, Ewurama D.A. Owusu
Drugs Habits and Social Policy
Health disparities and outcomes
article

Does risky behaviour matter for self-reported health status? Evidence from Ghana’s adult population

Jacob Nunoo, Samuel Sekyi, Ewurama D.A. Owusu
article en

Abstract

Purpose This study aims to evaluate the effects of risky behaviour on self-reported health status among the adult population in Ghana. Design/methodology/approach The study uses data from the Ghana Socioeconomic Panel Survey, a nationally representative dataset. Current research focuses on the Ghanaian adult population aged 18 years and above. The study used the endogenous treatment effect for ordered outcomes to address the endogeneity problem and self-selection bias related to risky behaviour decisions. Findings The results show that risky behaviour decreases the likelihood of reporting good health by 16.3% while increasing the probability that an individual will report unhealthy/somewhat unhealthy and somewhat healthy by 5% and 11.3%, respectively. These findings reveal that risky behaviour worsens the health status of smokers and drinkers, leading to poor health. The findings show that women and rural inhabitants are more negatively impacted by risky behaviour than men are, and urban residents in terms of self-reported good health status. The sensitivity analysis suggests that individuals self-perceived that drinking alcohol is worse for their health than smoking is. Originality/value The research contributes fresh empirical evidence to the somewhat limited body of work that explores the effects of risky behaviour on self-reported health, using nationally representative data from Ghana. Also, the study uses the endogenous treatment effect for ordered outcomes to address endogeneity concerns and self-selection bias involving risk behaviour decisions.

Drugs Habits and Social PolicyVol. 26(2)
University of Cape Coast (GH), Kumasi Technical University (GH), Kwame Nkrumah University of Science and Technology (GH), Ghana Center for Democratic Development (GH)
Openalex Percentile: Top 94%
Health disparities and outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.