Title |
Correlates of high-impact physical activity measured objectively in older British adults
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Published in |
Journal of Public Health, December 2017
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DOI | 10.1093/pubmed/fdx171 |
Pubmed ID | |
Authors |
Ahmed Elhakeem, Kimberly Hannam, Kevin C Deere, April Hartley, Emma M Clark, Charlotte Moss, Mark H Edwards, Elaine Dennison, Tim Gaysin, Diana Kuh, Andrew Wong, Kenneth R Fox, Cyrus Cooper, Rachel Cooper, Jon H Tobias |
Abstract |
Exposure to higher magnitude vertical impacts is thought to benefit bone health. The correlates of this high-impact physical activity (PA) in later life are unknown. Participants were from the Cohort for Skeletal Health in Bristol and Avon, Hertfordshire Cohort Study and MRC National Survey of Health and Development. Associations of demographic, behavioural, physiological and psychological factors with vertical acceleration peaks ≥1.5 g (i.e. high-impact PA) from 7-day hip-worn accelerometer recordings were examined using linear regression. A total of 1187 participants (mean age = 72.7 years, 66.6% females) were included. Age, sex, education, active transport, self-reported higher impact PA, walking speed and self-rated health were independently associated with high-impact PA whereas BMI and sleep quality showed borderline independent associations. For example, differences in log-high-impact counts were 0.50 (P < 0.001) for men versus women and -0.56 (P < 0.001) for worst versus best self-rated health. Our final model explained 23% of between-participant variance in high impacts. Other correlates were not associated with high-impact activity after adjustment. Besides age and sex, several factors were associated with higher impact PA in later life. Our findings help identify characteristics of older people that might benefit from interventions designed to promote osteogenic PA. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 56 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 13% |
Student > Master | 5 | 9% |
Student > Ph. D. Student | 4 | 7% |
Student > Doctoral Student | 3 | 5% |
Student > Postgraduate | 3 | 5% |
Other | 8 | 14% |
Unknown | 26 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 16% |
Nursing and Health Professions | 6 | 11% |
Sports and Recreations | 4 | 7% |
Social Sciences | 3 | 5% |
Physics and Astronomy | 1 | 2% |
Other | 4 | 7% |
Unknown | 29 | 52% |