Skeletal muscle mass and risk of death in an elderly population

S-Y Chuang, H-Y Chang, M-S Lee, R Chia-Yu Chen, W-H Pan

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    Abstract

    Background and aim: Body mass index (BMI) has a Ushaped relationship with mortality among the elderly, in contrast to the general adult population. Skeletal muscle mass may be more appropriate than BMI for classifying mortality risk among the elderly. We investigated the relationship between skeletal muscle mass and mortality among elderly Chinese persons. Method and results: A total of 1512 elderly from the Nutrition and Health Survey in Taiwanese Elderly (19992000) was enrolled, and the survival status was followed using data from the National Death Registry. The skeletal muscle mass index (SMMI) was calculated by dividing skeletal muscle mass by height in meters squared. The Cox proportional hazard model was used to estimate the association between SMMI and mortality. During the followup (average time: 7.9 years), onethird elderly died (n=506) by any cause and 25 of them was cardiovascular mortality (ICD9CM: between 390 and 459). The total mortality and cardiovascular mortality were 4.23 and 1.07 per 100 personyears. Elderly participants with the lowest SMMI had the highest total mortality and cardiovascular mortality among the four quartiles (6.72, 3.76, 3.25 and 3.50 per 100 PY for total mortality; 1.81, 0.76, 0.87, 0.93 for cardiovascular mortality). Those with a low (1st quartile) SMMI had a 2fold increase in total mortality (1.96; 1.632.35) and cardiovascular mortality (2.16; 1.513.08) risk compared to those with a normal [2nd, 3rd, or 4th quartile] SMMI. Conclusions: The threshold relationship between SMMI and mortality is contrast to the reverse Jshaped relationship between BMI and total mortality. Therefore, skeletal muscle mass measurement may be considered with a high priority to identify elderly individuals with a high mortality risk. (c) 2014.
    Original languageEnglish
    Pages (from-to)784 - 791
    Number of pages8
    JournalNutrition Metabolism and Cardiovascular Diseases
    Volume24
    Issue number7
    DOIs
    Publication statusPublished - 2014

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