| Title: | Driving status, travel modes and accelerometer-assessed physical activity in younger, middle-aged and older adults: a prospective study of 90 810 UK Biobank participants |
| Journal: | International Journal of Epidemiology |
| Published: | 19 Apr 2019 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/31004155/ |
| DOI: | https://doi.org/10.1093/ije/dyz065 |
| URL: | https://academic.oup.com/ije/article-pdf/48/4/1175/29162888/dyz065.pdf |
| Citations: | 13 (5 in last 2 years) as of 8 Aug 2024 |
Publication 2946
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Abstract
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 39-70 years.</p>
METHODS: We studied 90 810 UK Biobank participants (56.1 ± 7.8 years). Driving status, specific travel modes (non-work travel; commuting to/from work) and covariates were assessed by questionnaire (2006-10). PA was assessed over 7 days by wrist-worn accelerometers (2013-15). We estimated associations using overall and age-stratified multivariable linear-regression models.</p>
RESULTS: Drivers accumulated 1.4% more total PA (95% confidence interval: 0.9, 1.9), 11.2 min/day less ST (-12.9, -9.5), 12.2 min/day more LPA (11.0, 13.3) and 0.9 min/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; 20.5 min/day less ST, -26.0, -15.0; 14.5 min/day more MVPA, 12.0, 17.2; walkers: 4.2% more total PA, 3.5, 5.0; 7.5 min/day less ST -10.2, -4.9; 10.1 min/day more MVPA, 8.9, 11.3; mixed-mode users: 2.3% more total PA, 1.9, 2.7; 3.4 min/day less ST -4.8, -2.1; 4.9 min/day more MVPA, 4.3, 5.5). Some associations varied by age (p interaction < 0.05), but these differences appeared small.</p>
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.</p>
9 Authors
- Samantha Hajna
- Tom White
- Jenna Panter
- Søren Brage
- Katrien Wijndaele
- James Woodcock
- David Ogilvie
- Fumiaki Imamura
- Simon J Griffin
1 Application
| Application ID | Title |
|---|---|
| 4483 | Identification of modifiable and non-modifiable correlates of sedentary behaviours and physical activity in adults aged =65 years |
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