Overview

Abstract (English)

Purpose: The purpose of this study was to determine the relationship between movement behaviours that make up a day and self-rated health (SRH) in adults aged 60-79, while adjusting for time spent in all other behaviours. This required the application of a compositional data framework to the analysis, which is an emerging method in physical activity epidemiology. Methods: This study was conducted using cycles 1-3 of the Canadian Health Measures Survey. SRH, sleep duration, and covariates were self-reported, and sedentary time (ST), light-intensity physical activity (LIPA), and moderate-to-vigorous intensity physical activity (MVPA) were measured using an Actical accelerometer. Traditional descriptive statistics were computed for the outcome and covariates, while compositional descriptive statistics were displayed for the movement behaviours. Logistic regression analyses were run to determine the association between the overall composition of movement behaviours and SRH, as well as the association between each movement behaviour and SRH. The odds of reporting ‘poor’ or ‘fair’ SRH were modeled. Results: The distribution of time spent in sleep, ST, LIPA, and MVPA is associated with SRH (p<0.001). Relative to the other movement behaviours, both sleep duration (OR= 0.17) and MVPA (OR=0.81) were associated with better SRH. ST was associated with poorer SRH (OR=12.4). No statistically significant association was found for LIPA. Conclusion: SRH in older adults was positively associated with sleep duration and MVPA, and negatively associated with ST. Future research on physical activity should consider the effects of each movement behaviour on health outcomes, while taking into account the other behaviours.

Abstract (French)

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