Reid Natasha, Healy Genevieve N, Daly Robin M, Baker Peter, Eakin Elizabeth G, Dunstan David W, Owen Neville, Gardiner Paul A
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.
Med Sci Sports Exerc. 2017 Jul;49(7):1359-1365. doi: 10.1249/MSS.0000000000001243.
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.
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.
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).
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.
本研究的目的是确定老年人12年的电视观看时间轨迹，并检验这些轨迹与基于表现的身体功能测量指标之间的关联。
在澳大利亚糖尿病、肥胖与生活方式研究的每次评估（1999/2000年、2004/2005年和2011/2012年）中收集电视观看时间（小时·周）和社会人口学因素的数据，并在最终（2011/2012年）评估时收集身体功能的客观测量指标（2.44米定时起立行走测试[TUG，秒]和膝关节伸肌力量[KES，千克]测试）。回归分析检验了轨迹成员的预测因素以及2011/2012年60岁及以上人群中与TUG和KES的关联。
在1938名参与者（年龄60 - 97岁；54%为女性）中确定了六种电视观看时间轨迹：持续低（9.7%）、低增长（22.3%）、中度下降（13.5%）中度增长（30.3%）、持续高（18.9%）和高增长（5.2%）。与TUG无统计学显著关系（P > 0.05）。在完全调整模型中，与中度增长轨迹相比，持续低、低增长和持续高轨迹的KES表现显著更好（P < 0.001，R = 0.33）。
老年人12年的电视观看时间轨迹与肌肉力量相关。这些发现表明久坐行为模式可能是晚年肌肉力量的一个决定因素。
