Association between physical inactivity in leisure, work, commuting, and household domains and nutritional status in adults in the capital cities of Brazil

Abstract

Objective To investigate the association between different domains (leisure, work, commuting, and household) of physical activity, independent and cumulative, and excess weight and obesity in Brazilian adults. Methods This is a cross-sectional survey, conducted in 2015, through telephone interviews with a representative sample of adults from the capitals of Brazil. Physical inactivity was defined as non-participation in predefined physical activities for each assessed domain. Excess weight (Body Mass Index?25kg/m2) and obesity (Body Mass Index?30kg/m2) were determined from self-reported measurements of weight and height. A binary logistic regression was conducted after adjusting for sociodemographic factors. Results Among 54,174 subjects, physical inactivity in commuting (ORexcess weight=1.27, 95%CI=1.13,1.42 and ORobesity=1.25, 95%CI=1.06,1.47) and leisure (ORexcess weight=1.12, 95%CI=1.04,1.22 and ORobesity=1.30, 95%CI=1.17,1.45) domains were associated with nutritional status. In addition, a linear trend was observed between increasing obesity and cumulative physical inactivity of all four domains (p<0.001). Conclusion Cumulative physical inactivity, especially in the commuting and leisure domains, was associated with excess weight and obesity in adults living in the capitals of Brazil. One possible explanation of these findings is that these domains involve particularly longer duration and greater intensity of physical inactivity. Public policies concerning physical activity should prioritize actions focused in promoting physical activity on commuting and leisure-time to help prevent overweight and obesity in the Brazilian adult population.

Comparing Different Typologies of Physical Activities With a Focus on Motivation

“…Several classification systems have been proposed for the purpose of grouping, differentiating, and organizing PAs. PA can be classified by context, such as leisure, commuting, household, and work (Streb et al, 2019). Leisure-time PAs are commonly sub-classified into sports and exercises, and each of them can be further subdivided.…”

Overweight and associated factors in Basic Education teachers during the Covid-19 pandemic: gender differentials

“…Working and living in large cities is possibly associated with less time for activities that cause energy expenditure. Instead passive commuting to work, less time for physical exercise and fast food diets become the rule as people living in large cities rush through life, and these habits constitute risk factors for non-communicable chronic diseases [28][29][30][31].…”

Atividade física para crianças até 5 anos: Guia de Atividade Física para a População Brasileira

“…O baixo nível de atividade física é um dos principais fatores de risco para o desenvolvimento de doenças crônicas 28 . No Brasil, um estudo aponta elevadas prevalências de níveis insuficientes de atividade física em adultos nas capitais brasileiras 29 . Pesquisa com crianças brasileiras em idade pré-escolar identificou níveis insuficientes de atividade física já nos primeiros anos de vida 13 .…”