Notes
Objective:
To examine the joint associations of daily time spent in different intensities of physical activity, sedentary behaviour and sleep with all-cause mortality.
Methods:
Federated pooled analysis of six prospective cohorts with device-measured time spent in different intensities of physical activity, sedentary behaviour and sleep following a standardised compositional Cox regression analysis.
Participants:
130 239 people from general population samples of adults (average age 54 years) from the UK, USA and Sweden.
Main outcome:
All-cause mortality (follow-up 4.3 14.5 years).
Results:
Studies using wrist and hip accelerometer provided statistically different results (I2=92.2%, Q-test p<0.001). There was no association between duration of sleep and all-cause mortality, HR=0.96 (95% CI 0.67 to 1.12). The proportion of time spent in moderate to vigorous physical activity was significantly associated with lower risk of all-cause mortality (HR=0.63 (95% CI 0.55 to 0.71) wrist; HR=0.93 (95% CI 0.87 to 0.98) hip). A significant association for the ratio of time spent in light physical activity and sedentary time was only found in hip accelerometer-based studies (HR=0.5, 95% CI 0.42 to 0.62). In studies based on hip accelerometer, the association between moderate to vigorous physical activity and mortality was modified by the balance of time spent in light physical activity and sedentary time.
Conclusion:
This federated analysis shows a joint dose response association between the daily balance of time spent in physical activity of different intensities and sedentary behaviour with all-cause mortality, while sleep duration does not appear to be significant. The strongest association is with time spent in moderate to vigorous physical activity, but it is modified by the balance of time spent in light physical activity relative to sedentary behaviour.
Application 33400
Daily patterns of physical activity and syndromes of ageing. Relationship between physical inactivity and markers of geriatric syndromes.
GERIATRIC SYNDROMES are common clinical conditions prevalent in older people that do not fit into discrete disease categories. They include conditions such as falls, frailty, immobility, physical and cognitive decline; their impact on quality of life and disability is substantial. Although each one of these syndromes is a distinct health condition, geriatric syndromes share many common features (e.g. they are common in older populations especially the frail elderly). Although we still not fully understand why exactly they occur we believe that their origin is probably multi factorial. The aim of this study is investigate the relationship between daily patterns of (in) activity (a possible lifestyle determinant of tehe syndromes) and geriatric syndromes using the wealth of data available in the Biobank database. This 12 month project aims to improve our understanding of the relationship between patterns of daily physical activity and geriatric syndromes and to investigate whether they can provide a diagnostic of early signs of geriatric syndromes or be used as a preventive modality.
Lead investigator: | Dr Sebastien Chastin |
Lead institution: | Glasgow Caledonian University |