Natasha Reid1, Genevieve N Healy, Robin M Daly, Peter Baker, Elizabeth G Eakin, David W Dunstan, Neville Owen, Paul A Gardiner. 1. 1School of Public Health, The University of Queensland, Brisbane, AUSTRALIA; 2School of Physiotherapy, Curtin University, Perth, AUSTRALIA; 3Baker IDI Heart and Diabetes Institute, Melbourne, AUSTRALIA; 4Mary MacKillop Institute of Health Research, Australian Catholic University, Melbourne, AUSTRALIA; 5Institute for Physical Activity and Nutrition, Deakin University, Burwood, AUSTRALIA; 6Department of Medicine, Alfred Hospital, Monash University, Melbourne, AUSTRALIA; 7School of Public Health and Preventive Medicine, Monash University, Melbourne, AUSTRALIA; 8School of Sport Science, Exercise and Health, The University of Western Australia, Perth, AUSTRALIA; 9Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, AUSTRALIA; 10Swinburne University of Technology, Melbourne, AUSTRALIA; 11Centre for Health Services Research, The University of Queensland, Brisbane, AUSTRALIA; and 12Mater Research Institute, The University of Queensland, South Brisbane, AUSTRALIA.
Abstract
INTRODUCTION: The purposes of this study were to identify trajectories of older adults' television viewing (TV) time for 12 yr and to examine their associations with performance-based measures of physical function. METHODS: Data on TV time (h·wk) and sociodemographic factors were collected at each assessment of the Australian Diabetes, Obesity and Lifestyle Study (1999/2000, 2004/2005, and 2011/2012), with objective measures of physical function (2.44 m timed up and go [TUG, s] and knee extensor strength [KES, kg] tests) collected at the final (2011/2012) assessment. Regression analyses examined predictors of trajectory membership and associations with TUG and KES in those 60+ yr of age in 2011/2012. RESULTS: Six TV time trajectories were identified among the 1938 participants (age, 60-97 yr; 54% female): consistently low (9.7%), low-increasing (22.3%), moderate-decreasing (13.5%), moderate-increasing (30.3%), consistently high (18.9%), and high-increasing (5.2%). There were no statistically significant relationships with TUG (P > 0.05). In the fully adjusted model, KES performance was significantly better in the consistently low, low-increasing, and consistently high trajectories, compared with the moderate-increasing trajectory (P < 0.001, R = 0.33). CONCLUSION: Twelve-year trajectories of TV time were associated with muscle strength in older adults. These findings suggest that patterns of sedentary behavior can be a determinant of muscle strength in later life.
INTRODUCTION: The purposes of this study were to identify trajectories of older adults' television viewing (TV) time for 12 yr and to examine their associations with performance-based measures of physical function. METHODS: Data on TV time (h·wk) and sociodemographic factors were collected at each assessment of the Australian Diabetes, Obesity and Lifestyle Study (1999/2000, 2004/2005, and 2011/2012), with objective measures of physical function (2.44 m timed up and go [TUG, s] and knee extensor strength [KES, kg] tests) collected at the final (2011/2012) assessment. Regression analyses examined predictors of trajectory membership and associations with TUG and KES in those 60+ yr of age in 2011/2012. RESULTS: Six TV time trajectories were identified among the 1938 participants (age, 60-97 yr; 54% female): consistently low (9.7%), low-increasing (22.3%), moderate-decreasing (13.5%), moderate-increasing (30.3%), consistently high (18.9%), and high-increasing (5.2%). There were no statistically significant relationships with TUG (P > 0.05). In the fully adjusted model, KES performance was significantly better in the consistently low, low-increasing, and consistently high trajectories, compared with the moderate-increasing trajectory (P < 0.001, R = 0.33). CONCLUSION: Twelve-year trajectories of TV time were associated with muscle strength in older adults. These findings suggest that patterns of sedentary behavior can be a determinant of muscle strength in later life.
Authors: Chantal A Vella; Erin D Michos; Dorothy D Sears; Mary Cushman; Rachel B Van Hollebeke; Michelle M Wiest; Matthew A Allison Journal: J Phys Act Health Date: 2018-10-09
Authors: Luís Alberto Gobbo; Pedro B Júdice; Megan Hetherington-Rauth; Luís B Sardinha; Vanessa Ribeiro Dos Santos Journal: Int J Environ Res Public Health Date: 2020-11-06 Impact factor: 3.390