Age-Related Decline in Handgrip Strength Differs According to Gender

线性回归 人口学 医学 手部力量 方差分析 规范性 肌肉力量 握力 老年学 心理学 物理疗法 内科学 数学 统计 哲学 社会学 认识论
作者
Lauro C. Vianna,Ricardo B. Oliveira,Claudio Gil Soares de Araújo
出处
期刊:Journal of Strength and Conditioning Research [Lippincott Williams & Wilkins]
卷期号:21 (4): 1310-1310 被引量:56
标识
DOI:10.1519/r-23156.1
摘要

It is well-established that at old age there is a significant decline in muscle strength. Reference values for muscle strength might be useful for assessment of muscle impairment and of physiological adaptations. However, it is still unclear whether gender affects the rate of decline. Therefore, the aim of this study is to investigate the effect of gender and age on handgrip strength and to establish reference values for this variable. Reviewing medical charts collected from 1994 to 2005, a convenience sample of 2,648 subjects (1,787 men and 861 women), aged between 18 and 90 years, was obtained. Our results show higher handgrip strength for men compared with women (36.8 +/- 0.20 vs. 21.0 +/- 0.18 kg; p < 0.001). The regression analysis with a quadratic model shows that aging accounts for 30% of the variance in handgrip strength (r(2) = 0.30; p < 0.001) in men and 28% (r(2) = 0.28; p < 0.001) in women. In addition, the bent linear regression with multiple regressors show that a faster decline in handgrip strength occurs at the age of 30 years for men and 50 years for women. We conclude that handgrip strength decline with age differs between genders, making useful the existence of distinct male and female normative age group data.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
自有龙骧完成签到,获得积分10
2秒前
阿坤完成签到,获得积分10
2秒前
2秒前
3秒前
Nole的应助被Wechin采纳,获得30
3秒前
3秒前
6秒前
6秒前
完美雪碧发布了新的文献求助10
6秒前
在水一方完成签到,获得积分10
7秒前
Lone完成签到,获得积分10
8秒前
10秒前
10秒前
shuang完成签到,获得积分10
10秒前
隐形曼青的应助被汤圆软软软采纳,获得10
12秒前
隐形的念梦发布了新的文献求助100
12秒前
今后的应助被汤圆软软软采纳,获得10
12秒前
12秒前
隐形的念梦发布了新的文献求助100
12秒前
完美世界的应助被汤圆软软软采纳,获得10
12秒前
CipherSage的应助被澳bobo采纳,获得10
13秒前
彭于晏的应助被汤圆软软软采纳,获得10
13秒前
Zhou的应助被汤圆软软软采纳,获得10
13秒前
13秒前
小蘑菇的应助被汤圆软软软采纳,获得10
13秒前
13秒前
Hello的应助被汤圆软软软采纳,获得10
13秒前
13秒前
小马甲的应助被光亮的依瑶采纳,获得10
13秒前
wanci的应助被汤圆软软软采纳,获得10
13秒前
大模型的应助被汤圆软软软采纳,获得10
14秒前
pluto的应助被汤圆软软软采纳,获得10
14秒前
業業完成签到,获得积分10
14秒前
15秒前
15秒前
16秒前
16秒前
16秒前
科研通AI6.2的应助被qwert采纳,获得10
16秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
Decentring Leadership 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7809205
求助须知:如何正确求助?哪些是违规求助? 9341483
关于积分的说明 20506890
捐赠科研通 7401710
什么是DOI,文献DOI怎么找? 3329039
关于科研通互助平台的介绍 2475816
邀请新用户注册赠送积分活动 2347597