Abstract：
OBJECTIVE: Current handgrip strength (HGS) protocols employ a variety of criteria, affecting the assessment of asymmetric HGS. The impact of these different criteria on fall prediction is understudied. This study was devised to compare the relative performance of average and maximum HGS asymmetry criteria as tools to predict fall incidence among middle-aged or older adults in China.
METHODS: 9627 Chinese adults 50 + years of age who were participants in the China Health and Retirement Longitudinal Study (2013-2015 waves) were evaluated. The measurement of HGS was achieved based on either the maximum recorded value (HGSmax) or the average (HGSave), and these values were employed for the calculation of HGS asymmetry. Fall incidence over a 2-year period was evaluated based on self-reported data. Logistic regression analyses were utilized to determine the predictive performance of HGSmax asymmetry or HGSave asymmetry when gaging 2-year fall risk.
RESULTS: Significant differences in overall rates of HGS asymmetry and the rates of subdivisions thereof were observed when comparing the HGSmax and HGSave criteria, with moderate consistency (kappa = 0.599, p < 0.001). Over the 2-year follow-up period, 1743 fall incidents were recorded. Adjusted logistic regression models indicated that only HGSmax asymmetry > 30.0% was significantly related to fall risk (p = 0.034, odds ratio = 1.36, 95% confidence interval: 1.02-1.81).
CONCLUSIONS: These findings highlight the importance of HGS criteria in detecting HGS asymmetry, and suggest that HGSmax is a more robust criterion for predicting fall risk among Chinese adults 50 + years of age.
METHODS: 9627 Chinese adults 50 + years of age who were participants in the China Health and Retirement Longitudinal Study (2013-2015 waves) were evaluated. The measurement of HGS was achieved based on either the maximum recorded value (HGSmax) or the average (HGSave), and these values were employed for the calculation of HGS asymmetry. Fall incidence over a 2-year period was evaluated based on self-reported data. Logistic regression analyses were utilized to determine the predictive performance of HGSmax asymmetry or HGSave asymmetry when gaging 2-year fall risk.
RESULTS: Significant differences in overall rates of HGS asymmetry and the rates of subdivisions thereof were observed when comparing the HGSmax and HGSave criteria, with moderate consistency (kappa = 0.599, p < 0.001). Over the 2-year follow-up period, 1743 fall incidents were recorded. Adjusted logistic regression models indicated that only HGSmax asymmetry > 30.0% was significantly related to fall risk (p = 0.034, odds ratio = 1.36, 95% confidence interval: 1.02-1.81).
CONCLUSIONS: These findings highlight the importance of HGS criteria in detecting HGS asymmetry, and suggest that HGSmax is a more robust criterion for predicting fall risk among Chinese adults 50 + years of age.
摘要：
目的：当前的握力（HGS）协议采用了多种标准，影响不对称HGS的评估。研究了这些不同标准对跌倒预测的影响。本研究旨在比较平均和最大HGS不对称标准的相对表现，作为预测中国中年或老年人跌倒发生率的工具。
方法：9627名50岁以上的中国成年人参加了中国健康与退休纵向研究（2013-2015波）。HGS的测量基于最大记录值(HGSmax)或平均值(HGSave)来实现。这些值用于计算HGS不对称性。根据自我报告的数据评估了2年内的跌倒发生率。当测量2年跌倒风险时，使用Logistic回归分析来确定HGSmax不对称性或HGSave不对称性的预测性能。
结果：当比较HGSmax和HGSave标准时，观察到HGS不对称的总体比率及其细分比率的显着差异，具有中等稠度(κ=0.599，p<0.001)。在2年的随访期间，记录了1743起坠落事件。调整后的逻辑回归模型表明，只有HGSmax不对称>30.0％与跌倒风险显着相关（p=0.034，比值比=1.36，95％置信区间：1.02-1.81）。
结论：这些发现强调了HGS标准在检测HGS不对称性中的重要性，并表明HGSmax是预测50岁以上中国成年人跌倒风险的更可靠标准。
方法：9627名50岁以上的中国成年人参加了中国健康与退休纵向研究（2013-2015波）。HGS的测量基于最大记录值(HGSmax)或平均值(HGSave)来实现。这些值用于计算HGS不对称性。根据自我报告的数据评估了2年内的跌倒发生率。当测量2年跌倒风险时，使用Logistic回归分析来确定HGSmax不对称性或HGSave不对称性的预测性能。
结果：当比较HGSmax和HGSave标准时，观察到HGS不对称的总体比率及其细分比率的显着差异，具有中等稠度(κ=0.599，p<0.001)。在2年的随访期间，记录了1743起坠落事件。调整后的逻辑回归模型表明，只有HGSmax不对称>30.0％与跌倒风险显着相关（p=0.034，比值比=1.36，95％置信区间：1.02-1.81）。
结论：这些发现强调了HGS标准在检测HGS不对称性中的重要性，并表明HGSmax是预测50岁以上中国成年人跌倒风险的更可靠标准。
