Title

Cutpoints For Low Appendicular Lean Mass That Identify Older Adults With Clinically Significant Weakness

Keywords

Cutpoints.; Muscle; Sarcopenia

Abstract

Background.Low lean mass is potentially clinically important in older persons, but criteria have not been empirically validated. As part of the FNIH (Foundation for the National Institutes of Health) Sarcopenia Project, this analysis sought to identify cutpoints in lean mass by dual-energy x-ray absorptiometry that discriminate the presence or absence of weakness (defined in a previous report in the series as grip strength <26kg in men and <16kg in women).Methods.In pooled cross-sectional data stratified by sex (7,582 men and 3,688 women), classification and regression tree (CART) analysis was used to derive cutpoints for appendicular lean body mass (ALM) that best discriminated the presence or absence of weakness. Mixed-effects logistic regression was used to quantify the strength of the association between lean mass category and weakness.Results.In primary analyses, CART models identified cutpoints for low lean mass (ALM <19.75kg in men and <15.02kg in women). Sensitivity analyses using ALM divided by body mass index (BMI: ALMBMI) identified a secondary definition (ALMBMI <0.789 in men and ALMBMI <0.512 in women). As expected, after accounting for study and age, low lean mass (compared with higher lean mass) was associated with weakness by both the primary (men, odds ratio [OR]: 6.9 [95% CI: 5.4, 8.9]; women, OR: 3.6 [95% CI: 2.9, 4.3]) and secondary definitions (men, OR: 4.3 [95% CI: 3.4, 5.5]; women, OR: 2.2 [95% CI: 1.8, 2.8]).Conclusions.ALM cutpoints derived from a large, diverse sample of older adults identified lean mass thresholds below which older adults had a higher likelihood of weakness. © The Author 2014.

Publication Date

1-1-2014

Publication Title

Journals of Gerontology - Series A Biological Sciences and Medical Sciences

Volume

69 A

Issue

5

Number of Pages

567-575

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1093/gerona/glu023

Socpus ID

84899120951 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84899120951

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