Prevalence, Patterns, and Predictors of Physical Inactivity in an Urban Population of India

Abstract

Physical inactivity (PI) is a risk factor for mortality and morbidity. PI and its predictors among the urban population in Bhubaneswar, India, were unknown. Finding out the contribution of PI as a cause of existing noncommunicable diseases (NCD) is difficult without following up with a cohort. The study was hence done to find out the prevalence, patterns, and predictors of physical inactivity in an urban population, and simultaneously investigate its causal relationship with NCD from this cross-sectional study. Cluster random sampling was used with a sample size of 1203 with a design effect of three. Socio-demographic, health profile, physical activity levels, and stage of change for physical activity behavior were collected. Logistic regression and marginal structural model analysis (by inverse probability of treatment weighting {IPTW} using a generalized estimating equation {GEE} to investigate the relationship between physical activity and prevalence of NCDs) were done using IBM SPSS v20 software (Armonk, NY: IBM Corp.). Statistical significance was tested at p=0.05. A total of 1221 subjects participated. The mean age was 35.25 years and 71.9% were physically inactive. General caste, presence of NCD, and being in a static stage of change influenced physical activity positively. PI was found to be a risk factor for NCD with 1.54 times higher odds in this population. The study concluded that the prevalence of physical activity was low and PI was a causative factor for NCD.

Changes in body composition in relation to estimated glomerular filtration rate and physical activity in predialysis chronic kidney disease

“… 1 Prevalent physical inactivity of the Indian population as compared to global estimates and recommended standards further strengthens the need for exploring the beneficial effects. 10 , 11 This study aimed to identify the body composition alterations in the regional predialysis population using BIA, their relation with estimated glomerular filtration rate (eGFR) decline, and the effects of physical activity on the parameters.…”

“…Although several studies have explored the effects of exercise and increased physical activity on body compartments such as skeletal mass, strength improvement, and loss of fat mass, there is little to no evidence from the Indian region 1 . Prevalent physical inactivity of the Indian population as compared to global estimates and recommended standards further strengthens the need for exploring the beneficial effects 10,11 . This study aimed to identify the body composition alterations in the regional predialysis population using BIA, their relation with estimated glomerular filtration rate (eGFR) decline, and the effects of physical activity on the parameters.…”