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握力与身体成分、体能和代谢综合征绝经后妇女生物标志物的关系。

Association between handgrip strength and body composition, physical fitness, and biomarkers in postmenopausal women with metabolic syndrome.

机构信息

Fundação Oswaldo Cruz, Fernandes Figueira Institute, Gynecologic and Obstetrics Department - Rio de Janeiro (RJ), Brazil.

Universidade Federal do Rio de Janeiro, School of Physical Education and Sports - Rio de Janeiro (RJ), Brazil.

出版信息

Rev Assoc Med Bras (1992). 2022 Mar;68(3):323-328. doi: 10.1590/1806-9282.20210673.

DOI:10.1590/1806-9282.20210673
PMID:35442358
Abstract

OBJECTIVES

This study examined the association between handgrip strength and body composition, physical fitness, and biomarkers in postmenopausal women with metabolic syndrome.

METHODS

A total of 75 postmenopausal women were diagnosed with metabolic syndrome participated in this study. Muscle strength was assessed via a hydraulic grip strength dynamometer; physical fitness tests included a timed-up-and-go, arm curl test, and 30-s chair stand. Body composition was assessed via bioelectrical impedance, from which estimates of fat mass, body fat percentage, fat-free mass, and visceral fat area were determined. Fasting plasma glucose and glycated hemoglobin were measured via blood sample analyses. Multiple linear regression analyses were conducted using handgrip strength as the dependent variable and using body composition, physical fitness, and biomarkers as independent variables.

RESULTS

The results revealed that 52% of the total sample were classified as obese, 37.3% as overweight, and only 10.7% as normal weight. Significant correlations were present between handgrip strength and fat-free mass (p=0.002; R=0.590), mean blood pressure (p=0.002; R=0.450), and arm curl (p=0.001; R=0.795).

CONCLUSION

This study showed that handgrip strength was predictive of fat-free mass, blood pressure, and upper limb strength performance.

摘要

目的

本研究旨在探讨握力与身体成分、体能和代谢综合征绝经后女性生物标志物之间的关系。

方法

本研究共纳入 75 名被诊断患有代谢综合征的绝经后女性。肌肉力量通过液压握力测力计进行评估;体能测试包括计时起立行走、手臂卷曲测试和 30 秒坐立测试。身体成分通过生物电阻抗进行评估,可从该测试中得出体脂肪量、体脂肪百分比、去脂体重和内脏脂肪面积的估计值。通过血液样本分析测量空腹血糖和糖化血红蛋白。使用握力作为因变量,使用身体成分、体能和生物标志物作为自变量进行多元线性回归分析。

结果

结果显示,总样本中有 52%的人被归类为肥胖,37.3%为超重,只有 10.7%为正常体重。握力与去脂体重(p=0.002;R=0.590)、平均血压(p=0.002;R=0.450)和手臂卷曲(p=0.001;R=0.795)呈显著相关。

结论

本研究表明,握力可预测去脂体重、血压和上肢力量表现。

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