Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao, 266071, China.
Sci Rep. 2024 Nov 25;14(1):29245. doi: 10.1038/s41598-024-80487-y.
Little is known about the optimal measure of handgrip strength for predicting all-cause mortality and whether this association is modified by age or sex. We used data from the 2011-2014 National Health and Nutrition Examination Survey (NHANES), 9,583 adults aged ≥ 20 years were included. Equal-length grip strength was measured using a digital handheld Takei dynamometer. We defined five measurements of grip strength, i.e., the average of handgrip strength (HGS), maximum of grip strength (MGS), HGS/body mass index (BMI), HGS/height (HT), and MGS/weight, and three indicators of low grip strength, namely, low reference grip strength, lowest 20% grip strength, and low grip strength in sarcopenia. Information on deaths were obtained through linkage to National Death Index (NDI). Cox regression was used to assess the association of grip strength with mortality risk. HGS, MGS, HGS/BMI, HGS/HT, and MGS/weight were all inversely associated with all-cause mortality, with HGS or HGS/HT (the area under the curve (AUC) = 0.714) being the optimal predictor of mortality, followed by MGS (AUC = 0.712). Participants with low grip strength showed increased risk of mortality regardless of which indicator was used, and the highest effect size was seen for lowest 20% grip strength group (hazard ratio (HR) = 2.20 for men, 2.52 for women). The above-mentioned correlations were consistently found in people of different ages and sexes. This study suggests the simplest measure of absolute grip strength (HGS, MGS) was the optimal index for predicting all-cause mortality, followed by HGS/HT. Keeping an adequate level of handgrip strength may be beneficial to reduce the risk of mortality.
目前对于预测全因死亡率的最佳握力测量方法知之甚少,也不清楚这种关联是否会受到年龄或性别的影响。我们使用了 2011-2014 年全国健康和营养调查(NHANES)的数据,共纳入了 9583 名年龄≥20 岁的成年人。使用数字手持泰克握力计测量等长握力。我们定义了 5 种握力测量方法,即平均握力(HGS)、最大握力(MGS)、握力/体重指数(BMI)、握力/身高(HT)和 MGS/体重,以及 3 种低握力指标,即低参考握力、最低 20%握力和肌少症的低握力。通过与国家死亡指数(NDI)的链接获取死亡信息。Cox 回归用于评估握力与死亡率风险的相关性。HGS、MGS、HGS/BMI、HGS/HT 和 MGS/体重均与全因死亡率呈负相关,HGS 或 HGS/HT(曲线下面积(AUC)=0.714)是死亡率的最佳预测指标,其次是 MGS(AUC=0.712)。无论使用哪种指标,低握力者的死亡风险均增加,且最低 20%握力组的效应最大(男性 HR=2.20,女性 HR=2.52)。上述相关性在不同年龄和性别的人群中均一致。本研究表明,最简单的绝对握力测量方法(HGS、MGS)是预测全因死亡率的最佳指标,其次是 HGS/HT。保持适当的握力水平可能有助于降低死亡率。