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Low physical activity is associated with adverse health outcome and higher costs in Indonesia: A national panel study

Kanya Anindya, Tiara Marthias, Muhammad Zulfikar Biruni, Sophia Hage, Nawi Ng, Anthony A Laverty, Barbara McPake, Christopher Millett, Tilahun Haregu, Emily S. G. Hulse, Yingting Cao, John Tayu Lee

2022Frontiers in Cardiovascular Medicine12 citationsDOIOpen Access PDF

Abstract

Aims: To assess the association between low physical activity, cardiovascular disease (CVD) and risk factors, health service utilization, risk of catastrophic health expenditure, and work productivity in Indonesia. Methods: = 5,936). Physical activity was assessed using the International Physical Activity Questionnaire (IPAQ-SF). Multinomial logistic regression model was used to examine factors associated with physical activity levels (low, moderate, and high). We applied a series of multilevel mixed-effect panel regression to examine the associations between physical activity and outcome variables. Results: The prevalence of low physical activity increased from 18.2% in 2007 to 39.6% in 2014. Compared with those with high physical activity, respondents with low physical activity were more likely to have a 10-year high CVD risk (AOR: 2.11, 95% CI: 1.51-2.95), use outpatient care (AOR: 1.26, 95% CI: 1.07-1.96) and inpatient care (AOR 1.45, 95% CI: 1.07-1.96), experience catastrophic health expenditure of 10% of total household expenditure (AOR: 1.66, 95% CI: 1.21-2.28), and have lower labor participation (AOR: 0.24, 95% 0.20-0.28). Conclusions: Low physical activity is associated with adverse health outcomes and considerable costs to the health system and wider society. Accelerated implementation of public health policies to reduce physical inactivity is likely to result in substantial population health and economic benefits.

Topics & Concepts

MedicineMedical Expenditure Panel SurveyMultinomial logistic regressionPublic healthEnvironmental healthPopulationLogistic regressionHealth careDemographyGerontologyHealth insuranceInternal medicineNursingEconomic growthMachine learningComputer scienceEconomicsSociologyPhysical Activity and HealthHealth Promotion and Cardiovascular PreventionCardiac Health and Mental Health