Inequality in physical activity, global trends by income inequality and gender in adults

被引:69
|
作者
Chastin, S. F. M. [1 ,2 ]
Van Cauwenberg, J. [3 ]
Maenhout, L. [2 ]
Cardon, G. [2 ]
Lambert, E., V [4 ]
Van Dyck, D. [2 ]
机构
[1] Glasgow Caledonian Univ, Sch Hlth & Life Sci, Glasgow, Lanark, Scotland
[2] Univ Ghent, Dept Movement & Sports Sci, Ghent, Belgium
[3] Univ Ghent, Dept Publ Hlth & Primary Care, Ghent, Belgium
[4] Univ Cape Town, Dept Human Biol, Fac Hlth Sci, Hlth Phys Act Lifestyle & Sport Res Ctr HPALS, Cape Town, South Africa
关键词
Economy; Inactivity; Guidelines; Physical activity; Gini index; Inequality; WHO activity guidelines; POPULATION HEALTH; MORTALITY; DISEASE; ASSOCIATIONS; INACTIVITY; WALKING;
D O I
10.1186/s12966-020-01039-x
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
BackgroundPhysical inactivity is a global pandemic associated with a high burden of disease and premature mortality. There is also a trend in growing economic inequalities which impacts population health. There is no global analysis of the relationship between income inequality and population levels of physical inactivity.MethodsTwo thousand sixteen World Health Organisation's country level data about compliance with the 2010 global physical activity guidelines were analysed against country level income interquantile ratio data obtained from the World Bank, OECD and World Income Inequality Database. The analysis was stratified by country income (Low, Middle and High) according to the World Bank classification and gender. Multiple regression was used to quantify the association between physical activity and income inequality. Models were adjusted for GDP and percentage of GDP spent on health care for each country and out of pocket health care spent.ResultsSignificantly higher levels of inactivity and a wider gap between the percentage of women and men meeting global physical activity guidelines were found in countries with higher income inequality in high and middle income countries irrespective of a country wealth and spend on health care. For example, in higher income countries, for each point increase in the interquantile ratio data, levels of inactivity in women were 3.73% (CI 0.89 6.57) higher, levels of inactivity in men were 2.04% (CI 0.08 4.15) higher and the gap in inactivity levels between women and men was 1.50% larger (CI 0.16 2.83). Similar relationships were found in middle income countries with lower effect sizes. These relationships were, however, not demonstrated in the low-income countries.ConclusionsEconomic inequalities, particularly in high- and middle- income countries might contribute to physical inactivity and might be an important factor to consider and address in order to combat the global inactivity pandemic and to achieve the World Health Organisation target for inactivity reduction.
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页数:8
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