Work, travel, or leisure: comparing domain-specific physical activity patterns based on rural–urban location in Canada

BACKGROUND: Physical activity occurs across various domains including leisure/recreation, for transportation, or for work or household reasons. Rural and urban active living environments are characterized by different opportunities for physical activity within each domain which may translate into different patterns of behavior. The aim of this study was to compare rural-urban differences in physical activity across different domains, and explore interactions between sociodemographic factors, physical activity domains, and rurality. METHODS: We used self-reported data collected across three physical activity domains (active transportation, recreation, occupational/household) and relevant sociodemographic variables from the Canadian Community Health Survey. Adjusting for sociodemographic factors, we did two separate cross-sectional analyses: 1) binary logistic regression to determine the odds of reporting any activity in each domain, and 2) ordinary least squares regression using the sub-samples reporting > 0 min per week of activity to compare how much activity was reported in each domain. RESULTS: Our final survey weighted sample of Canadian adults (mean age 47.4 years) was n = 25,669,018 (unweighted n = 47,266). Rural residents were less likely to report any active transportation (OR = 0.59, 95% CI 0.51, 0.67, p < .0001). For recreational physical activity, rural males had lower odds (OR = 0.75, 95% CI 0.67, 0.83, p < .0001) and rural females had higher odds (OR = 1.19, 95% CI 1.08, 1.30, p = .0002) of reporting any participation compared to urban residents. Rural males (OR = 1.90, 95% CI 1.74, 2.07, p < .0001) and females (OR = 1.33, 95% CI 1.21, 1.46, p < .0001) had higher odds of reporting any occupational or household physical activity. CONCLUSIONS: Urban residents tend to participate in more active transportation, while rural residents participate in more occupational or household physical activity. Location-based differences in physical activity are best understood by examining multiple domains and must include appropriate sociodemographic interactions, such as income and sex/gender.