期刊
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
卷 48, 期 4, 页码 1175-1186出版社
OXFORD UNIV PRESS
DOI: 10.1093/ije/dyz065
关键词
Driving; travel modes; older adults; physical activity; UK Biobank
资金
- Lifelong Health and Wellbeing Cross-Council Programme [MR/K025147/1]
- Medical Research Council (MRC) [MC_ UU_ 12015/4, MC_ UP_ 12015/6, MC_ UU_ 12015/3]
- Canadian Institutes of Health Research [FRN 146766]
- MedImmune
- Centre for Diet and Activity Research (CEDAR)-a UKCRC Public Health Research Centre of Excellence - British Heart Foundation
- Cancer Research UK
- Economic and Social Research Council
- National Institute for Health Research
- Wellcome Trust
- Medical Research Council
- MRC [MR/K023187/1, MC_UU_12015/3, MR/K025147/1, MC_UU_12015/4, MC_UU_12015/6] Funding Source: UKRI
Background Associations between driving and physical-activity (PA) intensities are unclear, particularly among older adults. We estimated prospective associations of travel modes with total PA, sedentary time (ST), light-intensity PA (LPA), and moderate-to-vigorous intensity PA (MVPA) among adults aged 39-70years. Methods We studied 90810 UK Biobank participants (56.17.8years). Driving status, specific travel modes (non-work travel; commuting to/from work) and covariates were assessed by questionnaire (2006-10). PA was assessed over 7days by wrist-worn accelerometers (2013-15). We estimated associations using overall and age-stratified multivariable linear-regression models. Results Drivers accumulated 1.4% more total PA (95% confidence interval: 0.9, 1.9), 11.2min/day less ST (-12.9, -9.5), 12.2min/day more LPA (11.0, 13.3) and 0.9min/day less MVPA (-1.6, -0.2) than non-drivers. Compared with car/motor-vehicle users, cyclists and walkers had the most optimal activity profiles followed by mixed-mode users (e.g. for non-work travel, cyclists: 10.7% more total PA, 9.0, 12.4; 20.5min/day less ST, -26.0, -15.0; 14.5min/day more MVPA, 12.0, 17.2; walkers: 4.2% more total PA, 3.5, 5.0; 7.5min/day less ST -10.2, -4.9; 10.1min/day more MVPA, 8.9, 11.3; mixed-mode users: 2.3% more total PA, 1.9, 2.7; 3.4min/day less ST -4.8, -2.1; 4.9min/day more MVPA, 4.3, 5.5). Some associations varied by age (p interaction<0.05), but these differences appeared small. Conclusions Assessing specific travel modes rather than driving status alone may better capture variations in activity. Walking, cycling and, to a lesser degree, mixed-mode use are associated with more optimal activity profiles in adults of all ages.
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