Identification of modifiable and non-modifiable correlates of sedentary behaviours and physical activity in adults aged =65 years
Principal Investigator: Dr Simon Griffin
Approved Research ID: 4483
Approval date: May 7th 2014
| Completion date: June 21st 2019
Physical inactivity is now the fourth leading cause of death, accounting for 6% of all deaths globally. The morbidity related to inactivity, including health-related quality of life and the direct and indirect economic costs, places a substantial burden on societies and health care systems. In older people regular physical activity (PA) decreases the risk of premature mortality, coronary heart disease, stroke, type 2 diabetes, cognitive decline and functional impairment. Despite these health benefits however, only 21% of men and 16% of women aged 65-74 years meet current PA guidelines. Recent data suggests that time spent sedentary, which increases sharply after the age of 70 years, is also associated with risk of coronary heart disease, independent of PA. As such, a number of intervention studies have sought to encourage older adults to become more physically active and to reduce their time spent sedentary, but modification of these behaviours has proven to be largely unsuccessful. The aim of this investigation will be to identify the cross-sectional and prospective modifiable and non-modifiable correlates of sedentary behaviours and physical activity in adults aged =65 years (and thus a subset of the cohort). These analyses will help inform the development and targeting of future prevention strategies aimed at modifying these two important and distinct behaviours. Please note that we are requesting access to data only and that the research project consists, initially, of a cross-sectional analysis of baseline correlates with sedentary behaviours and physical activity. Also, we would like to request the repeat assessment data in the subset of the cohort (circa 20,000 participants), meaning there will be data on physical activity approximately 4.5 years after recruitment (we are aware that this data will become available for release later this year - possibly October / November).