Prevalence of low muscle mass according to body mass index in older adults

Abstract Objective Low muscle mass has been associated with increased morbi-mortality and should be identified for optimizing preventive and therapeutic strategies. This study evaluates the prevalence of bioelectrical impedance analysis (BIA)-derived low muscle mass in older persons using definition...

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Bibliographic Details
Published in:Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2017-02, Vol.34, p.124-129
Main Authors: Graf, Christophe E., M.D, Pichard, Claude, M.D., Ph.D, Herrmann, François R., M.D, Sieber, Cornel C., M.D, Zekry, Dina, M.D, Genton, Laurence, M.D
Format: Article
Language:English
Subjects:
Aged
Body Composition
Body height
Body Mass Index
Body Weight
Clinical trials
Elderly
Electric Impedance
Fat-free mass
Female
Females
Gastroenterology and Hepatology
Hospitalization
Humans
Logistic Models
Male
Multivariate Analysis
Muscle, Skeletal - physiology
Musculoskeletal system
Nursing homes
Older people
Population
Presarcopenia
Prevalence
Retrospective Studies
Sarcopenia
Sarcopenia - diagnosis
Sarcopenia - epidemiology
Skeletal muscle mass
Spinal cord
Studies
Women
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Summary:Abstract Objective Low muscle mass has been associated with increased morbi-mortality and should be identified for optimizing preventive and therapeutic strategies. This study evaluates the prevalence of bioelectrical impedance analysis (BIA)-derived low muscle mass in older persons using definitions found through a systematic literature search and determines the link between body mass index (BMI) and low muscle mass. Methods We performed a systematic search of trials involving ≥100 persons that derived low muscle mass from BIA and reported cut-offs for low muscle mass normalized for body height or weight. These cut-offs were applied to all adults ≥65 y who underwent a BIA measurement at Geneva University Hospital between 1990 and 2011 (N = 3181). The association between BMI and low muscle mass was evaluated through multivariate logistic regressions. Results We identified 15 cut-offs based on the fat-free mass index (FFMI), skeletal muscle index (SMI), or skeletal muscle percentage (SMP). Depending on the definition, the prevalence of low muscle mass was 17% to 68% in women and 17% to 85% in men. The risk of low muscle mass increased with a BMI
ISSN:0899-9007
1873-1244
DOI:10.1016/j.nut.2016.10.002