Document Type : Research articles


1 Department of Public Health, Bam University of Medical Sciences, Bam, Iran

2 Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran

3 Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran

4 Social Determinants of Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

5 Department of Public Health, School of Medicine, Dezful University of Medical Sciences, Dezful, Iran

6 Behbahan University of Medical Sciences, Behbahan, Iran

7 Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran

8 Iranian Research Center on Healthy Aging, Sabzevar University of Medical Sciences, Sabzevar, Iran

9 Department of Epidemiology, School of Public Health, Ilam University of Medical Sciences, Ilam, Iran


Background: Insufficient physical activity, particularly in low- and middle-income countries, plays an important role in the spread of non-communicable diseases.
Objectives: The purpose of this study is to investigate the insufficient physical activity and its relationship with the human devel- opment index (HDI) in the world.
Methods: This is an ecological study, and the study data, including the human development index and the incidence of insufficient physical activity, were extracted from the World Banks database. The descriptive analysis included mean and standard deviation. The inferential analysis consisted of two-way correlation and ANOVA at a significance level of less than 0.05. The analyses were performed using Stata-14 software.
Results: The highest insufficient physical activity in both sexes (39.26 [37.42, 40.95]) was found in the Americas, especially in high- income regions. There was a significant positive correlation between the incidence of insufficient physical inactivity and HDI in the world (r = 0.446, P < 0.0001). This correlation was also significant in Asia and Africa (P < 0.05). The results showed a positive correla- tion between components of HDI (i.e., gross national income per 1000 capita, mean years of schooling, life expectancy at birth, and expected years of schooling) and insufficient activity (P < 0.0001). The results of ANOVA also exhibited a significant relationship between the mean prevalence of physical inactivity and the level of development (P < 0.0001).
Conclusions: Given the significant correlation between the incidence of insufficient physical inactivity and HDI, understanding this correlation and its components, especially in low- and middle-income countries can alleviate the impact of physical inactivity epidemics in the future, thereby contributing to the effective global prevention of non-communicable diseases.


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