Trajectories of the relationships of physical activity with body composition changes in older men: the MrOS study.

Trajectories of the relationships of physical activity with body composition changes in older men: the MrOS study.
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DOI:
10.1186/s12877-017-0506-4
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发表时间:
2017-06-05
期刊:
影响因子:
4.1
通讯作者:
Osteoporotic Fractures in Men Study Research Group
Osteoporotic Fractures in Men Study Research Group
中科院分区:
医学2区
文献类型:
--
作者:
Laddu DR;Cawthon PM;Parimi N;Hoffman AR;Orwoll E;Miljkovic I;Stefanick ML;Osteoporotic Fractures in Men Study Research Group

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过度的肥胖增加和显着的瘦体重损失可能是老年慢性病的危险因素。身体活动(PA)变化的长期模式及其对衰老过程中身体成分下降的影响尚未得到表征。我们从一开始就评估了 PA 和身体成分的相互关系,并对老年男性的变化进行了纵向随访。对基线(2000-2002 年)和截至 2009 年 3 月之前两次就诊时的 5,964 名年龄 ≥ 65 岁的社区居住男性进行了评估,其中包括老年人体力活动量表 (PASE) 自我报告的 PA、临床体重、全身瘦体重 (LM) 和脂肪量 (双能 X 射线吸收测定法 (DXA))(平均 4.6 6.9 年后)。基于群体的轨迹模型 (GBTM) 确定了 PA 和身体成分变量的变化模式。然后评估 PA 和身体成分变化的关系。 GBTM 确定了三种离散的轨迹模式,均伴有 PA 下降,主要与初始 PA 水平相关:高活动(7.2% 的男性)、中度活动(50.0%)和低活动(42.8%)。在单独的模型中,GBTM 确定了八个离散的总体重变化组、五个脂肪量变化组和六个 LM 变化组。 PA 和身体成分组的关节轨迹模型显示,总重和 LM 显着下降,而高活动和低活动下降组的脂肪质量水平相对不变,而中度活动下降组则显着增加。尽管确定了 PA 和身体成分的变化模式,但群体主要是通过初始 PA 或身体成分来区分的,而不是通过这些变量的不同变化轨迹来区分的。本文的在线版本 (doi:10.1186/s12877-017-0506-4) 包含补充材料,可供授权用户使用。
Excess adiposity gains and significant lean mass loss may be risk factors for chronic disease in old age. Long-term patterns of change in physical activity (PA) and their influence on body composition decline during aging has not been characterized. We evaluated the interrelationships of PA and body composition at the outset and over longitudinal follow-up to changes in older men. Self-reported PA by the Physical Activity Scale for the Elderly (PASE), clinic body weight, and whole-body lean mass (LM) and fat mass, by dual-energy x-ray absorptiometry (DXA), were assessed in 5964 community-dwelling men aged ≥65 years at baseline (2000–2002) and at two subsequent clinic visits up until March 2009 (an average 4.6 and 6.9 years later). Group-based trajectory modeling (GBTM) identified patterns of change in PA and body composition variables. Relationships of PA and body composition changes were then assessed. GBTM identified three discrete trajectory patterns, all with declining PA, associated primarily with initial PA levelshigh-activity (7.2% of men), moderate-activity (50.0%), and low-activity (42.8%). In separate models, GBTM identified eight discrete total weight change groups, five fat mass change groups, and six LM change groups. Joint trajectory modeling by PA and body composition group illustrated significant declines in total weight and LM, whereas fat mass levels were relatively unchanged among high-activity and low-activity-declining groups, and significantly increased in the moderate-activity-declining group. Although patterns of change in PA and body composition were identified, groups were primarily differentiated by initial PA or body composition rather than by distinct trajectories of change in these variables. The online version of this article (doi:10.1186/s12877-017-0506-4) contains supplementary material, which is available to authorized users.