Cumulative associations between midlife health behaviors and physical functioning in early old age: a 17-year prospective cohort study.
Cumulative associations between midlife health behaviors and physical functioning in early old age: a 17-year prospective cohort study.
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DOI：
10.1111/jgs.13071
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发表时间：
2014-10
影响因子：
6.3
通讯作者：
Singh-Manoux A
中科院分区：
文献类型：
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作者：
Sabia S;Elbaz A;Rouveau N;Brunner EJ;Kivimaki M;Singh-Manoux A
研究中年健康行为与老年早期行走速度和上肢力量之间的累积关系。前瞻性队列研究。白厅二号研究。在1991-93年、1997-99年和2002-04年三项评估中至少有两项健康行为数据和2007-09年身体功能测量数据（平均年龄65.9±5.9）的个体（N = 5,671）（1991-93年平均年龄49.1±5.9）。一位训练有素的护士评估了行走速度和上肢力量。不健康行为被定义为当前或近期吸烟、非中度饮酒（戒酒或大量饮酒）、每天食用水果和蔬菜少于两次，以及缺乏身体活动（中度体力活动<1小时/周，剧烈体力活动<1小时/周）。对于每一种不健康的行为，一个累积的分数被计算为一个人在三次评估中报告这种行为的次数除以3。得分范围在0（没有）和1（三次都有）之间。在调整了年龄、性别、教育、婚姻状况和身高的线性回归模型中，1991-93年的所有不健康行为都与2007-09年的步行速度变慢有关，有和没有不健康行为的参与者之间的差异在0.10（非中度饮酒）到0.25（缺乏身体活动）的标准差范围内（pt检验<.001）。对于步行速度，风险累积模型最适合于不健康饮食（低水果和蔬菜摄入量评分1点增加的β = - 0.29, 95%置信区间(CI) = - 0.36至- 0.22）和身体不活动（β = - 0.37, 95% CI = - 0.45至- 0.29）。对于吸烟和非适度饮酒，也观察到累积效应，但部分f检验并没有表明它比1991-93年、1997-99年或2002-04年的行为模型提供更好的拟合。除吸烟外，所有行为得分都与握力有关，但f检验只支持不运动的风险累积假设。这些发现强调了不健康行为持续时间的重要性，特别是在饮食和身体活动方面，当研究与身体功能的关系时。
To examine cumulative associations between midlife health behaviors and walking speed and upper-limb strength in early old age. Prospective cohort study. Whitehall II Study. Individuals (mean age 49.1 ± 5.9 in 1991–93) with health behavior data for at least two of the three assessments (1991–93, 1997–99, 2002–04) and physical functioning measures in 2007–09 (mean age 65.9 ± 5.9) (N = 5,671). A trained nurse assessed walking speed and upper-limb strength. Unhealthy behaviors were defined as current or recent smoking, nonmoderate alcohol consumption (abstinence or heavy drinking), fruit and vegetable consumption less than twice per day, and physical inactivity (<1 h/wk of moderate and <1 h/wk of vigorous physical activity). For each unhealthy behavior, a cumulative score was calculated as the number of times a person reported the behavior over the three assessments divided by 3. The score ranged between 0 (never) and 1 (all three times). In linear regression models adjusted for age, sex, education, marital status, and height, all unhealthy behaviors in 1991–93 were associated with slower walking speed in 2007–09, with differences ranging from 0.10 (nonmoderate alcohol consumption) to 0.25 (physical inactivity) of a standard deviation between participants with and without the unhealthy behavior (Pt-test<.001). For walking speed, the accumulation-of-risk model provided the best fit for unhealthy diet (β for a 1-point increment in the low fruit and vegetable consumption score = −0.29, 95% confidence interval (CI) = −0.36 to −0.22) and physical inactivity (β = −0.37, 95% CI = −0.45 to −0.29). For smoking and nonmoderate alcohol consumption, a cumulative effect was also observed, but partial F-tests did not suggest that it provided a better fit than models with behaviors in 1991–93, 1997–99, or 2002–04. All behavioral scores except smoking were associated with grip strength, but F-tests supported the accumulation-of-risk hypothesis only for physical inactivity. These findings highlight the importance of duration of unhealthy behaviors, particularly for diet and physical activity, when examining associations with physical functioning.
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影响因子：
--
作者：
Kvaavik, Elisabeth;Batty, G. David;Gale, Catharine R.
通讯作者：
Gale, Catharine R.
影响因子：
3.3
作者：
Kuh D;Cooper R;Hardy R;Guralnik J;Richards M;Musculoskeletal Study Team
通讯作者：
Musculoskeletal Study Team
DOI：
10.1093/gerona/60.2.224
发表时间：
2005-02-01
影响因子：
5.1
作者：
Kuh, D;Bassey, EJ;Wadsworth, MEJ
通讯作者：
Wadsworth, MEJ
影响因子：
3.9
作者：
Milaneschi, Yuri;Bandinelli, Stefania;Corsi, Anna Maria;Lauretani, Fabrizio;Paolisso, Giuseppe;Dominguez, Ligia J.;Semba, Richard D.;Tanaka, Toshiko;Abbatecola, Angela M.;Talegawkar, Sameera A.;Guralnik, Jack M.;Ferrucci, Luigi
通讯作者：
Ferrucci, Luigi
影响因子：
5.5
作者：
Cooper, Rachel;Mishra, Gita D.;Kuh, Diana
通讯作者：
Kuh, Diana