Physical Inactivity and Non-Communicable Disease Burden in Low-, Middle-, and High-Income Countries

Objectives Physical inactivity is a risk factor for premature mortality and several non-communicable diseases. The purpose of this study was to estimate the global burden associated with physical inactivity, and to examine differences by country income and region. Methods Population-level, prevalence-based population attributable risks (PAR) were calculated for 168 countries to estimate how much disease could be averted if physical inactivity were eliminated. We calculated PARs (percentage of cases attributable to inactivity) for all-cause mortality, cardiovascular disease mortality and non-communicable diseases including coronary heart disease, stroke, hypertension, type 2 diabetes, dementia, depression and cancers of the bladder, breast, colon, endometrium, oesophagus, stomach and kidney. Results Globally, 7.2% and 7.6% of all-cause and cardiovascular disease deaths, respectively, are attributable to physical inactivity. The proportions of non-communicable diseases attributable to physical inactivity range from 1.6% for hypertension to 8.1% for dementia. There was an increasing gradient across income groups; PARs were more than double in high-income compared with low-income countries. However, 69% of total deaths and 74% of cardiovascular disease deaths associated with physical inactivity are occurring in middle-income countries, given their population size. Regional differences were also observed, with the PARs occurring in Latin America/Caribbean and high-income Western and Asia-Pacific countries, and the lowest burden occurring in Oceania and East/Southeast Asia. Conclusion The global burden associated with physical inactivity is substantial. The relative burden is greatest in high-income countries; however, the greatest number of people (absolute burden) affected by physical inactivity are living in middle-income countries given the size of their populations.

[1]  M. Buman,et al.  World Health Organization 2020 guidelines on physical activity and sedentary behaviour , 2020, British Journal of Sports Medicine.

[2]  J. Benichou,et al.  Use of the prevented fraction for the population to determine deaths averted by existing prevalence of physical activity: a descriptive study , 2020, The Lancet. Global health.

[3]  S. Larsson,et al.  Amount and Intensity of Leisure-Time Physical Activity and Lower Cancer Risk , 2019, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[4]  F. Janssen,et al.  Impact of obesity on life expectancy among different European countries: secondary analysis of population-level data over the 1975–2012 period , 2019, BMJ Open.

[5]  Gretchen A Stevens,et al.  Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1·9 million participants. , 2018, The Lancet. Global health.

[6]  Wenke Cheng,et al.  Associations of leisure-time physical activity with cardiovascular mortality: A systematic review and meta-analysis of 44 prospective cohort studies , 2018, European journal of preventive cardiology.

[7]  Benedict H W Wong,et al.  The effect of risk factor misclassification on the partial population attributable risk , 2018, Statistics in medicine.

[8]  A. Carvalho,et al.  Physical Activity and Incident Depression: A Meta-Analysis of Prospective Cohort Studies. , 2018, The American journal of psychiatry.

[9]  Ming Zhang,et al.  Dose–Response Association Between Physical Activity and Incident Hypertension: A Systematic Review and Meta-Analysis of Cohort Studies , 2017, Hypertension.

[10]  C. Guure,et al.  Impact of Physical Activity on Cognitive Decline, Dementia, and Its Subtypes: Meta-Analysis of Prospective Studies , 2017, BioMed research international.

[11]  W. Mechelen,et al.  The economic burden of physical inactivity: a global analysis of major non-communicable diseases , 2016, The Lancet.

[12]  John Everett Mumford,et al.  Physical activity and risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events: systematic review and dose-response meta-analysis for the Global Burden of Disease Study 2013 , 2016, British Medical Journal.

[13]  Un Desa Transforming our world : The 2030 Agenda for Sustainable Development , 2016 .

[14]  Stephen S. Lim,et al.  Estimated Global, Regional, and National Disease Burdens Related to Sugar-Sweetened Beverage Consumption in 2010 , 2015, Circulation.

[15]  I-Min Lee,et al.  Leisure time physical activity and mortality: a detailed pooled analysis of the dose-response relationship. , 2015, JAMA internal medicine.

[16]  K. Flegal,et al.  Estimating population attributable fractions to quantify the health burden of obesity. , 2015, Annals of epidemiology.

[17]  S. Blair,et al.  Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy , 2012, BDJ.

[18]  Pedro C Hallal,et al.  Worldwide prevalence of physical inactivity and its association with human development index in 76 countries. , 2011, Preventive medicine.

[19]  H. Oja,et al.  Estimation of population attributable fraction (PAF) for disease occurrence in a cohort study design , 2010, Statistics in medicine.