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What is the best adjustment of appendicular lean mass for predicting mortality or disability among Japanese community dwellers?

机译:为了预测日本社区居民的死亡率或残疾,对阑尾瘦体重的最佳调整是什么?

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Age-related declines in skeletal muscle mass and strength, representing “sarcopenia,” are a growing concern in aging societies. However, the prevalence of low muscle mass based on the height2-adjustment has been shown to be extremely low, and a more appropriate definition of low muscle mass is needed, particularly for Asian women. The aim of this study was to explore the most appropriate adjustment of appendicular lean mass (ALM) for predicting mortality or disability risk using ALM or any of 5 adjustments of ALM among community-dwelling Japanese. Subjects comprised 1026 men and 952 women between 40 and 79?years old at baseline (1997–2000) who participated in the National Institute for Longevity Sciences - Longitudinal Study of Aging, Japan. ALM (kg) and 5 adjusted indices of ALM (ALM/leg length, ALM/height, ALM/height2, ALM/weight, and ALM/body mass index [BMI]) were assessed at baseline. Disability was defined by long-term care insurance certification based on responses to a survey mailed in 2013, and death records were obtained as vital statistics until December 2014. Crude and adjusted Cox proportional hazard models were used to estimate hazard ratios for mortality or disability by sex-stratified quintiles of each ALM index (ALM and adjusted ALM) or sarcopenia-related indices. The area under the curve (AUC) was calculated with the multivariate-adjusted logistic regression model. Additionally, mixed-effects analyses were used to clarify the age-related ALM indices decline over 12?years (n?=?1838). Crude Cox proportional hazard models and multivariate-adjusted logistic model (AUC) indicated that higher ALM and ALM/BMI in women, and higher ALM, ALM/leg length, ALM/height, and ALM/BMI in men were associated with lower risks for mortality or disability than ALM/height2. The mixed effect model indicated all ALM indices in men, and ALM, ALM/leg length, and ALM/height in women could better predict age-related lean muscle mass decline. Unadjusted ALM in women, and ALM/leg length, ALM/height, ALM/BMI, and ALM in men may be more appropriate for predicting future mortality or disability than ALM/height2. Considering the age-related muscle mass decline, unadjusted ALM would be the first variable to assess, regardless of sex, in this Japanese cohort study.
机译:与年龄相关的骨骼肌质量和强度下降,代表“肌肉减少症”,在衰老社会中日益引起关注。但是,根据身高2调整显示的低肌肉质量的患病率极低,尤其是对于亚洲女性,需要更适当的低肌肉质量定义。这项研究的目的是探讨使用ALM或在居住在社区的日本人中进行ALM的5种调整中的任何一种来最适当地调整阑尾瘦体重(ALM)的方法,以预测死亡率或残疾风险。在基线(1997-2000年)时,年龄在40至79岁之间的1026名男性和952名女性,参加了日本国立长寿科学研究所-衰老纵向研究。在基线评估了ALM(kg)和ALM的5个调整指标(ALM /腿长,ALM /身高,ALM /身高2,ALM /体重和ALM /体重指数[BMI])。残疾是根据2013年邮寄的一项调查的答复通过长期护理保险证书定义的,并且死亡记录一直作为生命统计数据获得,直到2014年12月为止。粗略和调整后的Cox比例风险模型用于估计死亡率或残疾的危险比,每个ALM指标(ALM和调整后的ALM)或与肌肉减少症相关的指标按性别分层的五分位数。曲线下面积(AUC)是通过多元调整的逻辑回归模型计算的。另外,使用混合效应分析来澄清与年龄相关的ALM指数在12年内下降(n = 1838)。粗Cox比例风险模型和多变量调整Logistic模型(AUC)表明,女性的ALM和ALM / BMI较高,男性的ALM,ALM /腿长,ALM /身高和ALM / BMI较高,则患病风险较低。死亡率或残疾程度高于ALM /身高2。混合效应模型表明,男性的所有ALM指标均有效,女性的ALM,ALM /腿长和ALM /身高可以更好地预测与年龄相关的瘦肌肉质量下降。与ALM /身高相比,女性未经调整的ALM和男性的ALM /腿长,ALM /身高,ALM / BMI和ALM可能更适合于预测未来的死亡率或残疾。考虑到与年龄相关的肌肉质量下降,在这项日本队列研究中,无论性别如何,未经调整的ALM都是评估的第一个变量。

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