Lean Body Mass Associated with Upper Body Strength in Healthy Older Adults While Higher Body Fat Limits Lower Extremity Performance and Endurance

Lean Body Mass Associated with Upper Body Strength in Healthy Older Adults While Higher Body Fat Limits Lower Extremity Performance and Endurance
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DOI:
10.3390/nu7095327
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发表时间:
2015-09-01
期刊:
影响因子:
5.9
通讯作者:
McLean, Cameron
McLean, Cameron
中科院分区:
医学2区
文献类型:
--
作者:
Charlton, Karen;Batterham, Marijka;McLean, Cameron

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力量受损会对老年人进行日常生活活动的能力产生不利影响。对117名独立生活的男性和女性进行的横断面研究(年龄= 73.4 +/- 9.4岁;体重指数(BMI)= 27.6 +/- 4.8 kg/m(2)),旨在评估身体成分与以下因素之间的关系:(1)上肢力量(握力,HGS);(2)下肢表现(计时起立(TUG)和坐立测试(STS));和(3)耐力(6分钟步行(SMWT))。使用生物电阻抗评估身体组成(%脂肪;瘦体重(LBM))。习惯性体力活动的测量使用明尼苏达州休闲时间体力活动问卷(MLTPA)和膳食常量营养素摄入量,使用24小时回忆和3天的食物记录进行评估。回归分析包括协变量、蛋白质摄入量(g/kg)、MLTPA、年龄和性别。对于右侧HGS的自然对数(Ln),LBM(p < 0.001)和%体脂(p < 0.005)具有显著性(r(2)= 46.5%; p < 0.000)。对于左侧LnHGS,LBM(p < 0.000)、年龄(p = 0.036)、蛋白质摄入(p = 0.015)和LnMLTPA(p = 0.015)具有显著性(r(2)= 0.535; p < 0.000)。对于SMW,%体脂、年龄和LnMLTPA具有显著性(r(2)= 0.346; p < 0.000)。对于STS,%体脂和年龄是显著的(r(2)= 0.251; p < 0.000)。LBM是上肢力量的强预测因子,而较高的体脂百分比和较低的体力活动与下肢性能测试的较差结果相关。
Impaired strength adversely influences an older person's ability to perform activities of daily living. A cross-sectional study of 117 independently living men and women (age = 73.4 +/- 9.4 year; body mass index (BMI) = 27.6 +/- 4.8 kg/m(2)) aimed to assess the association between body composition and: (1) upper body strength (handgrip strength, HGS); (2) lower extremity performance (timed up and go (TUG) and sit to stand test (STS)); and (3) endurance (6-minute walk (SMWT). Body composition (% fat; lean body mass (LBM)) was assessed using bioelectrical impedance. Habitual physical activity was measured using the Minnesota Leisure Time Physical Activity Questionnaire (MLTPA) and dietary macronutrient intake, assessed using 24 h recalls and 3-day food records. Regression analyses included the covariates, protein intake (g/kg), MLTPA, age and sex. For natural logarithm (Ln) of right HGS, LBM (p < 0.001) and % body fat (p < 0.005) were significant (r(2) = 46.5%; p < 0.000). For left LnHGS, LBM (p < 0.000), age (p = 0.036), protein intake (p = 0.015) and LnMLTPA (p = 0.015) were significant (r(2) = 0.535; p < 0.000). For SMW, % body fat, age and LnMLTPA were significant (r(2) = 0.346; p < 0.000). For STS, % body fat and age were significant (r(2) = 0.251; p < 0.000). LBM is a strong predictor of upper body strength while higher % body fat and lower physical activity are associated with poorer outcomes on tests of lower extremity performance.