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老年女性的体能、人体测量学指标与实验室参数之间的关系。

Association between fitness, anthropometric indices and laboratory parameters in elderly women.

机构信息

Facultad de Educación, Universidad Autónoma de Chile, Chile.

Escuela de Educación Física, Facultad de Ciencias de la Educación, Universidad Católica del Maule, Talca, Chile.

出版信息

Rev Med Chil. 2020 Dec;148(12):1742-1749. doi: 10.4067/S0034-98872020001201742.

DOI:10.4067/S0034-98872020001201742
PMID:33844739
Abstract

BACKGROUND

Aging causes an involution of anthropometric and health indices that can affect physical fitness.

AIM

To determine the influence of anthropometric and health indices on the physical fitness of elderly women.

MATERIAL AND METHODS

Anthropometric parameters, serum lipids, blood glucose and physical fitness evaluated using Senior Fitness Test, were assessed in 140 women aged 70 ± 5 years. The association between parameters was analyzed using Pearson's correlation coefficient and multiple regression models.

RESULTS

In the regression models serum lipids and the suprailiac skinfold were significant predictors of the up and go test (R2= 0.48). HDL cholesterol and the level of physical activity were predictors of the two minutes step test (R2= 0.31). Serum lipids, suprailiac skinfold and age were predictors of the back-scratch test (R2= 0.41). Fasting blood glucose and HDL cholesterol were predictors of the chair sit and reach test (R2= 0.24). Serum lipids and body mass index were predictors of the arm curl test (R2= 0.37). Body mass index and serum lipids were predictors of the chair stand test (R2= 0.49).

CONCLUSIONS

Anthropometric variables, serum lipid levels and blood glucose were predictors of different physical fitness parameters in these women.

摘要

背景

衰老会导致人体测量学和健康指标的退化,从而影响身体健康。

目的

确定人体测量学和健康指标对老年女性身体健康的影响。

材料与方法

评估了 140 名年龄在 70 ± 5 岁的女性的人体测量参数、血脂、血糖和使用 Senior Fitness Test 评估的身体适应性。使用 Pearson 相关系数和多元回归模型分析参数之间的关系。

结果

在回归模型中,血脂和髂嵴上皮褶厚度是起身行走测试的显著预测因子(R2= 0.48)。高密度脂蛋白胆固醇和身体活动水平是两分钟踏步测试的预测因子(R2= 0.31)。血脂、髂嵴上皮褶厚度和年龄是背部搔抓测试的预测因子(R2= 0.41)。空腹血糖和高密度脂蛋白胆固醇是坐站测试的预测因子(R2= 0.24)。血脂和体重指数是手臂卷曲测试的预测因子(R2= 0.37)。体重指数和血脂是坐姿站立测试的预测因子(R2= 0.49)。

结论

在这些女性中,人体测量学变量、血脂水平和血糖是不同身体适应性参数的预测因子。

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