Golubic Rajna, Martin Kathryn R, Ekelund Ulf, Hardy Rebecca, Kuh Diana, Wareham Nicholas, Cooper Rachel, Brage Soren
Medical Research Council Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Addenbrooke's Hospital, Hills Road, Box 285, Cambridge CB2 0QQ, United Kingdom.
Int J Behav Nutr Phys Act. 2014 May 3;11:58. doi: 10.1186/1479-5868-11-58.
Detailed assessment of physical activity (PA) in older adults is required to comprehensively describe habitual PA-levels in this growing population segment. Current evidence of population PA-levels is predominantly based on self-report.
We examined PA and sedentary behaviour in a nationally representative sample of British people aged 60-64, using individually-calibrated combined heart-rate and movement sensing and a validated questionnaire (EPAQ2), and the socio-demographic and behavioural factors that may explain between-individual variation in PA.
Between 2006-2010, 2224 participants completed EPAQ2 capturing the past year's activity in four domains (leisure, work, transportation and domestic life) and 1787 participants provided 2-5 days of combined-sensing data. According to objective estimates, median(IQR) physical activity energy expenditure (PAEE) was 33.5 (25.3-42.2) and 35.5 (26.6- 47.3) kJ/kg/day for women and men, respectively. Median (IQR) time spent in moderate-to-vigorous PA (MVPA; >3MET), light-intensity PA (1.5-3 MET) and sedentary (<1.5 MET) was 26.0 (12.3-48.1) min/day, 5.4 (4.2-6.7) h/day and 18.0 (16.6-19.4) h/day, respectively, in women; and 41.0 (18.8-73.0) min/day, 5.2 (4.0-6.5) h/day and 17.9 (16.3-19.4) h/day in men. PAEE and time spent in MVPA were lower and sedentary time was greater in obese individuals, those with poor health, and those with lower educational attainment (women only). Questionnaire-derived PAEE and MVPA tended to have similar patterns of variation across socio-demographic strata. In the whole sample, domestic PA had the greatest relative contribution to total questionnaire-derived PAEE (58%), whereas occupational PA was the main driver among employed participants (54%). Only 2.2% of participants achieved an average of >30 min MVPA per day combined with >60 min strength-training per week.
The use of both self-report and objective monitoring to assess PA in early old age provides important information on the domains of PA, PAEE and time spent at different intensity levels. Our findings suggest PA levels are generally low and observed patterns of variation indicate specific subgroups who might benefit from targeted interventions to increase PA.
需要对老年人的身体活动(PA)进行详细评估,以全面描述这一不断增长的人群中的习惯性PA水平。目前关于人群PA水平的证据主要基于自我报告。
我们使用个体校准的心率和运动联合传感以及经过验证的问卷(EPAQ2),对60 - 64岁具有全国代表性的英国人样本中的PA和久坐行为进行了研究,并分析了可能解释个体间PA差异的社会人口统计学和行为因素。
在2006 - 2010年期间,2224名参与者完成了EPAQ2,该问卷记录了过去一年四个领域(休闲、工作、交通和家庭生活)的活动情况,1787名参与者提供了2 - 5天的联合传感数据。根据客观估计,女性和男性的身体活动能量消耗(PAEE)中位数(四分位间距)分别为33.5(25.3 - 42.2)和35.5(26.6 - 47.3)kJ/kg/天。女性中度至剧烈身体活动(MVPA;>3代谢当量)、轻度身体活动(1.5 - 3代谢当量)和久坐(<1.5代谢当量)的时间中位数(四分位间距)分别为26.0(12.3 - 48.1)分钟/天、5.4(4.2 - 6.7)小时/天和18.0(16.6 - 19.4)小时/天;男性分别为41.0(18.8 - 73.0)分钟/天、5.2(4.0 - 6.5)小时/天和17.9(16.3 - 19.4)小时/天。肥胖个体、健康状况较差的个体以及教育程度较低(仅女性)的个体,其PAEE和MVPA时间较低,久坐时间较长。问卷得出的PAEE和MVPA在社会人口统计学阶层中的变化模式往往相似。在整个样本中,家庭PA对问卷得出的总PAEE贡献最大(58%),而职业PA是就业参与者中的主要驱动因素(54%)。只有2.2%的参与者平均每天达到>30分钟的MVPA,同时每周进行>60分钟的力量训练。
使用自我报告和客观监测相结合的方法来评估老年人的PA,可提供关于PA领域、PAEE以及在不同强度水平下所花费时间的重要信息。我们的研究结果表明PA水平普遍较低,观察到的变化模式表明特定亚组可能从针对性的增加PA干预中受益。