Prevalence of low muscle mass and associated factors in community-dwelling older adults in Singapore

• Published in: Scientific reports Vol. 11; no. 1; p. 23071
• Main Authors: Tey, Siew Ling, Huynh, Dieu Thi Thu, Berde, Yatin, Baggs, Geraldine, How, Choon How, Low, Yen Ling, Cheong, Magdalin, Chow, Wai Leng, Tan, Ngiap Chuan, Chew, Samuel Teong Huang
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 29.11.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 692/700/1518; 692/700/2814; Aged; Aged, 80 and over; Aging; Aging - physiology; Anthropometry; Body Composition; Bone mass; Cross-Sectional Studies; Female; Females; Gender; Hospitalization; Humanities and Social Sciences; Humans; Independent Living; Linear Models; Male; Males; Malnutrition; Malnutrition - complications; Malnutrition - epidemiology; Mass Screening; Middle Aged; multidisciplinary; Muscle Strength; Muscle, Skeletal - physiopathology; Nutritional Status; Older people; Physical activity; Prevalence; Reference Values; Risk Assessment; Sarcopenia - epidemiology; Sarcopenia - physiopathology; Science; Science (multidisciplinary); Sex Factors; Singapore - epidemiology; Skeletal muscle; Smoking; Singapore
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-021-02274-3

The population is rapidly aging worldwide, and there is an age-related decline in muscle mass. Therefore, it is important to examine the prevalence and associated factors of low appendicular skeletal muscle mass index (ASMI) in older adults. The objectives of this cross-sectional study were (i) to determine the prevalence of low ASMI (ASM/height 2 ) and (ii) to identify factors associated with low ASMI. This study included 1211 community-dwelling adults aged ≥ 65 years. Low ASMI was defined as < 7.0 kg/m 2 in males and < 5.7 kg/m 2 in females (bioelectrical impedance analysis). Gender-specific cut-off values of calf circumference for low ASMI were determined. The prevalence of low ASMI in the overall cohort was 59.9%, i.e., 57.0% among males and 61.8% among females, with no significant difference between genders ( P  = 0.1068). The prevalence of low ASMI was 81.3% in individuals at risk of malnutrition compared to 20.6% in their counterparts with normal nutritional status ( P  < 0.0001). Participants with low ASMI were older, had lower physical activity scores, and greater likelihood of hospitalization in prior 6 months compared with normal ASMI (all P  < 0.0001). Low ASMI was associated with risk of malnutrition (odds ratio: 3.58 for medium risk, odds ratio: 12.50 for high risk), older age, smoking, drinking, smaller calf circumference, and lower bone mass (all P  ≤ 0.0328). Cut-off values of calf circumference for low ASMI for males was 33.4 cm and for females was 32.2 cm. In conclusion, we found that low ASMI was highly prevalent among community-dwelling older adults at risk of malnutrition. Other significant factors associated with low ASMI were age, smoking, drinking, calf circumference, and bone mass. Screening community-dwelling older adults for risk of malnutrition can prevent or delay onset of low ASMI.