J Josh Snodgrass1, Melissa A Liebert1, Tara J Cepon-Robins2, Tyler M Barrett1, Arvind Mathur3, Somnath Chatterji4, Paul Kowal4,5. 1. Department of Anthropology, University of Oregon, Eugene, Oregon, 97403. 2. Department of Anthropology, University of Colorado-Colorado Springs, Colorado Springs, Colorado, 80920. 3. Dr. S.N. Medical College, Jodhpur, India. 4. Multi-Country Studies Unit, World Health Organization, Geneva, Switzerland. 5. University of Newcastle Research Centre on Gender, Health, and Ageing, Newcastle, New South Wales, Australia.
Abstract
OBJECTIVES: Accelerometry provides researchers with a powerful tool to measure physical activity in population-based studies, yet this technology has been underutilized in cross-cultural studies of older adults. The present study was conducted among older adults in an urban setting in India with the following three objectives: (1) to compare average activity levels obtained through different durations of monitoring (1, 3, and 7 days); (2) to document differences in physical activity patterns by sex and age; and (3) to evaluate links between measures of physical activity and anthropometrics, as well as between activity parameters and measures of household size, work status, and social cohesion. METHODS: The present study uses data from a physical activity substudy of the World Health Organization's Study on global AGEing and adult health (SAGE-PA). This study of 200 older adults (49-90 years old; 72 males, 128 females) in urban India combines 7 continuous days of ActiGraph GT3X accelerometry with anthropometric and sociodemographic data. RESULTS: Results reveal overall low activity levels, with significantly lower activity energy expenditure (AEE) among females (P < 0.05). No significant differences were documented in activity level by monitoring duration. Age was negatively correlated with AEE in men (P < 0.01) and women (P < 0.001). AEE was positively correlated with BMI in men (P < 0.01) and women (P < 0.05). Finally, women who were more socially integrated had greater AEE (P < 0.01). CONCLUSIONS: This study illustrates the utility of accelerometry for quantifying activity levels in aging populations in non-Western nations. Am. J. Hum. Biol. 28:412-420, 2016.
OBJECTIVES: Accelerometry provides researchers with a powerful tool to measure physical activity in population-based studies, yet this technology has been underutilized in cross-cultural studies of older adults. The present study was conducted among older adults in an urban setting in India with the following three objectives: (1) to compare average activity levels obtained through different durations of monitoring (1, 3, and 7 days); (2) to document differences in physical activity patterns by sex and age; and (3) to evaluate links between measures of physical activity and anthropometrics, as well as between activity parameters and measures of household size, work status, and social cohesion. METHODS: The present study uses data from a physical activity substudy of the World Health Organization's Study on global AGEing and adult health (SAGE-PA). This study of 200 older adults (49-90 years old; 72 males, 128 females) in urban India combines 7 continuous days of ActiGraph GT3X accelerometry with anthropometric and sociodemographic data. RESULTS: Results reveal overall low activity levels, with significantly lower activity energy expenditure (AEE) among females (P < 0.05). No significant differences were documented in activity level by monitoring duration. Age was negatively correlated with AEE in men (P < 0.01) and women (P < 0.001). AEE was positively correlated with BMI in men (P < 0.01) and women (P < 0.05). Finally, women who were more socially integrated had greater AEE (P < 0.01). CONCLUSIONS: This study illustrates the utility of accelerometry for quantifying activity levels in aging populations in non-Western nations. Am. J. Hum. Biol. 28:412-420, 2016.
Authors: Silvia Del Din; Emma Grace Lewis; William K Gray; Harry Collin; John Kissima; Lynn Rochester; Catherine Dotchin; Sarah Urasa; Richard Walker Journal: Exp Aging Res Date: 2020-07-08 Impact factor: 1.645