Compositional analysis of the association between mortality and 24-hour movement behaviour from NHANES

Abstract

Aims Previous prospective studies of the association between mortality and physical activity have generally not fully accounted for the interplay between movement behaviours. A compositional data modelling approach accounts for relative scale and co-dependency in time-use data across physical activity behaviours of the 24-hour day. Methods A prospective analysis of the National Health and Nutrition Examination Survey 2005–2006 on N = 1468 adults ( d = 135 deaths) in ages 50–79 years was undertaken using compositional Cox regression analysis. Daily time spent in sedentary behaviour, light intensity (LIPA) and moderate-to-vigorous physical activity (MVPA) was determined from waist-mounted accelerometer data (Actigraph 7164) and supplemented with self-reported sleep data to determine the daily time-use composition. Results The composition of time spent in sedentary behaviour, LIPA, MVPA and sleep was associated with mortality rate after allowing for age and sex effects ( p < 0.001), and remained significant when other lifestyle factors were added ( p < 0.001). This was driven primarily by the preponderance of MVPA; however, significant changes are attributable to LIPA relative to sedentary behaviour and sleep, and sedentary behaviour relative to sleep. The final ratio ceased to be statistically significant after incorporating lifestyle factors. The preponderance of MVPA ceased to be statistically significant after incorporating health at outset and physical limitations on movement. Conclusions An association is inferred between survival rate and the physical activity composition of the day. The MVPA time share is important, but time spent in LIPA relative to sedentary behaviour and sleep is also a significant factor. Increased preponderance of MVPA may have detrimental associations at higher levels of MVPA.

The physical activity paradox revisited: a prospective study on compositional accelerometer data and long-term sickness absence

“…The first ilr coordinate for the work and leisure composition represents time spent on MVPA relative to the geometric mean of remaining behaviors. In subsequent ilrs, the denominator of the first ilr was further split to create remaining ilrs [46]. We created ilrs by treating work and leisure time as two separate compositions instead of considering them as two sub compositions of a whole day.…”

Twenty‐Four Hour Activity and Sleep Profiles for Adults Living with Arthritis: Habits Matter

“…The Canadian Society for Exercise Physiology has identified 24-hour movement guidelines for children and youth, including recommendations for time spent sleeping, being physically active, participating in structured and unstructured walking activities, and sitting for recreational screen activities (22); however, similar 24-hour movement guidelines for adults have not been established. Despite the lack of guidelines informing 24-hour movement in adults, research-grade activity trackers worn for 24 hours over a period of days still offer an opportunity to understand different patterns of sleep and activity behavior (23)(24)(25). Understanding activity and sleep patterns over 24 hours is informative in a way that is different than measuring different intensities of activity or sleep in isolation.…”

Compositional Data Analysis in Time-Use Epidemiology: What, Why, How

“…MPA per se is therefore not associated with greater cardiovascular risk, but its net reallocation (relative to VPA and SB) in this population is. This difficulty could be addressed by analyzing the association of other general logratios with cardiometabolic risk [35,47,61]. In addition, thinking in terms of time reallocations is helpful when interpreting CoDA results.…”