男性和女性的肌肉质量指数与死亡率
The muscle quality index and mortality among males and females.
作者信息
Brown Justin C, Harhay Michael O, Harhay Meera N
机构信息
Dana-Farber Cancer Institute, Division of Population Sciences, Boston, MA; Department of Biostatistics & Epidemiology, Center for Clinical Epidemiology & Biostatistics, University of Pennsylvania, Philadelphia.
Department of Biostatistics & Epidemiology, Center for Clinical Epidemiology & Biostatistics, University of Pennsylvania, Philadelphia.
出版信息
Ann Epidemiol. 2016 Sep;26(9):648-53. doi: 10.1016/j.annepidem.2016.07.006. Epub 2016 Jul 18.
PURPOSE
The muscle quality index (MQI) was proposed as a measure to quantify age-related alterations in muscle function. It is unknown if the MQI predicts mortality.
METHODS
This was a population-based cohort study from the Third National Health and Nutrition Survey (NHANES III; 1988-1994). The MQI was quantified using a timed sit-to-stand test, body mass, and leg length. Vital status was obtained through the National Center for Health Statistics. We fit multivariable-adjusted regression models to estimate the hazard ratio (HR) and 95% confidence interval (CI) between the MQI and mortality.
RESULTS
During 14.6 years of follow-up, 3299 (73.1%) of 4510 study participants died. Lower MQI was associated with a higher risk of mortality (Ptrend <.001). The multivariable-adjusted HR for mortality was 1.50 (95% CI, 1.15-1.96) for those in the lowest quintile of MQI compared to the highest quintile. The association between MQI and mortality was stronger among males (highest vs. lowest quintile of MQI, HR = 1.37 [95% CI, 1.00-1.87]; Ptrend = .001) compared to females (highest vs. lowest quintile of MQI, HR = 1.27 (95% CI, 0.89-1.83); Ptrend = .044; Pinteraction = .005].
CONCLUSIONS
The MQI predicts mortality and may differ between males and females. Additional research examining the MQI is warranted.
目的
肌肉质量指数（MQI）被提出作为一种量化与年龄相关的肌肉功能改变的指标。MQI是否能预测死亡率尚不清楚。
方法
这是一项基于第三次全国健康与营养调查（NHANES III；1988 - 1994年）的队列研究。使用定时坐立试验、体重和腿长来量化MQI。通过国家卫生统计中心获取生命状态信息。我们拟合多变量调整回归模型来估计MQI与死亡率之间的风险比（HR）和95%置信区间（CI）。
结果
在14.6年的随访期间，4510名研究参与者中有3299人（73.1%）死亡。较低的MQI与较高的死亡风险相关（P趋势<.001）。与最高五分位数相比，MQI最低五分位数人群的多变量调整后死亡率HR为1.50（95% CI，1.15 - 1.96）。与女性相比，男性中MQI与死亡率之间的关联更强（MQI最高与最低五分位数相比，HR = 1.37 [95% CI，1.00 - 1.87]；P趋势 =.001），女性中（MQI最高与最低五分位数相比，HR = 1.27（95% CI，0.89 - 1.83）；P趋势 =.044；P交互作用 =.005）。
结论
MQI可预测死亡率，且可能在男性和女性之间存在差异。有必要对MQI进行更多研究。
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