Grip strength is a strong predictor of survival in nonagenarians and centenarians

Marlon Cassio Pereira Grigol, P. Morsch, Â. Bós
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引用次数: 3

Abstract

Objectives: To understand the importance of hand grip strength (HGS) as a survival predictor in nonagenarians and centenarians. Methods: Longitudinal, observational and analytical study, using HGS measurements obtained during a first evaluation performed in 2016. Participants were nonagenarians and centenarians, randomly selected in various neighborhoods of Porto Alegre (RS) and evaluated in their homes. The time elapsed between the first evaluation and the date of death or last contact (for survivors) was used to calculate the hazard ratio (HR) using survival analysis on simple and adjusted Cox regression models. Results: The sample comprised 212 participants (155 women), of whom 83 (39%) died during follow-up (until August 30, 2019). Using the lowest quartile (25%) for HGS, participants with < 10 kgf for women and 17 kgf for men were considered to have poor HGS performance. In the simple regression model, participants with lower HGS presented a HR of 2.75 (1.76–4.30, p < 0.001) for death. Also in the simple model, participants aged between 90 and 94 years old presented an HR of 0.37 (0.16–0.85, p = 0.019) compared to those aged 100 or older. In the adjusted model, age lost its significance in the presence of HGS. The following were significant predictors in both simple and adjusted models: cognitive performance, calf circumference, ability to participate in social activities, shop, and prepare meals alone, performance in the Timed Up and Go test, and ease to perform activities requiring upper limb strength. Conclusions: HGS was an important independent and modifiable predictor of survival among nonagenarians and centenarians.
握力是预测九十岁和百岁老人生存的有力指标
目的:了解手握力(HGS)作为九十岁和百岁老人生存预测指标的重要性。方法:纵向、观察和分析研究,使用2016年首次评估时获得的HGS测量数据。参与者是在阿雷格里港(RS)的不同社区随机选择的90多岁和百岁老人,并在他们的家中进行评估。采用简单和调整后的Cox回归模型进行生存分析,利用首次评估到死亡或最后接触(幸存者)日期之间的时间计算风险比(HR)。结果:该样本包括212名参与者(155名女性),其中83名(39%)在随访期间死亡(直到2019年8月30日)。使用HGS的最低四分位数(25%),女性< 10 kgf和男性< 17 kgf的参与者被认为HGS表现不佳。在简单回归模型中,HGS较低的参与者的死亡风险比为2.75 (1.76-4.30,p < 0.001)。同样在简单模型中,与年龄在100岁或以上的参与者相比,年龄在90至94岁之间的参与者的HR为0.37 (0.16-0.85,p = 0.019)。在调整后的模型中,年龄在HGS的存在下失去了意义。以下是简单模型和调整模型的重要预测因素:认知能力、小腿围、参与社交活动、购物和独自做饭的能力、在Timed Up and Go测试中的表现,以及容易完成需要上肢力量的活动。结论:HGS是一个重要的、独立的、可修改的预测九十岁和百岁老人生存的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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