Charlton Karen, Batterham Marijka, Langford Kelly, Lateo Jenna, Brock Erin, Walton Karen, Lyons-Wall Philippa, Eisenhauer Katie, Green Nick, McLean Cameron
School of Medicine and Statistical Consulting Centre, University of Wollongong, New South Wales 2522, Australia.
Statistical Consulting Services, National Institute of Applied Statistics Research Australia, University of Wollongong, Wollongong, New South Wales 2522, Australia.
Nutrients. 2015 Aug 26;7(9):7126-42. doi: 10.3390/nu7095327.
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/m²) 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 (r² = 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 (r² = 0.535; p < 0.000). For SMW, % body fat, age and LnMLTPA were significant (r² = 0.346; p < 0.000). For STS, % body fat and age were significant (r² = 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.
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。一项针对117名独立生活的男性和女性(年龄 = 73.4 ± 9.4岁;体重指数(BMI) = 27.6 ± 4.8 kg/m²)的横断面研究旨在评估身体成分与以下方面之间的关联:(1)上肢力量(握力,HGS);(2)下肢功能(定时起立行走试验(TUG)和坐立试验(STS));以及(3)耐力(6分钟步行试验(SMWT))。使用生物电阻抗法评估身体成分(体脂百分比;瘦体重(LBM))。使用明尼苏达休闲时间身体活动问卷(MLTPA)测量习惯性身体活动,并使用24小时回忆法和3天食物记录评估膳食常量营养素摄入量。回归分析纳入了协变量,蛋白质摄入量(克/千克)、MLTPA、年龄和性别。对于右侧HGS的自然对数(Ln),LBM(p < 0.001)和体脂百分比(p < 0.005)具有显著意义(r² = 46.5%;p < 0.000)。对于左侧LnHGS,LBM(p < 0.000)、年龄(p = 0.036)、蛋白质摄入量(p = 0.015)和LnMLTPA(p = 0.015)具有显著意义(r² = 0.535;p < 0.000)。对于SMW,体脂百分比、年龄和LnMLTPA具有显著意义(r² = 0.346;p < 0.000)。对于STS,体脂百分比和年龄具有显著意义(r² = 0.251;p < 0.000)。LBM是上肢力量的有力预测指标,而较高的体脂百分比和较低的身体活动与下肢功能测试的较差结果相关。