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Prevalence, Patterns and Predictors of physical activity in Urban Population of Bhubaneswar smart city, India

BackgroundPhysical inactivity is a risk factor for mortality and morbidity. Physical activity and its predictors among urban population in this part of the country was unknown. Finding physical inactivity as a cause of current noncommunicable diseases (NCD) is difficult. ObjectivesTo find out the prevalence, patterns and predictors of physical activity in urban population, and investigate its causal relationship with NCD. Materials and methodsIt was a cross-sectional study using cluster random sampling. Sample size was 1203. Socio-demographic, health profile, physical activity levels, and stage of change for physical activity behaviour were collected. was used for analysis. Logistic regression and marginal structural model analysis (by IPTW) were done using IBM SPSS 20.0.Statistical significance were tested at p=0.05. Results1221 subjects participated. Mean age was 35.25 years. 71.9% were physically inactive, 15.9% practised yogasana. General caste, presence of NCD, being in a static stage of change and a yogassana practitioner influenced physical activity positively. Physical inactivity had 1.54 times higher odds for NCD and was statistically significant. ConclusionPrevalence of physical activity was low. Physical inactivity was a causative factor for NCD.
Updated on June 29, 2022
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