Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0223222
Title: Factors associated with muscle mass in community-dwelling older people in Singapore: Findings from the SHIELD study
Authors: Tey, Siew Ling
Chew, Samuel Teong Huang 
How, Choon How 
Yalawar, Menaka
Baggs, Geraldine
Chow, Wai Leng 
Cheong, Magdalin
San Ong, Rebecca Hui
Husain, Farah Safdar
Kwan, Shuyi Charmaine
Tan, Cynthia Yan Ling 
Low, Yen Ling 
Ngiap, Chuan Tan 
Dieu, Thi Thu Huynh
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
KOREA NATIONAL-HEALTH
HYDROXY-BETA-METHYLBUTYRATE
SERUM 25-HYDROXYVITAMIN D
PHYSICAL-ACTIVITY SCALE
ASIAN WORKING GROUP
VITAMIN-D
REFERENCE VALUES
ELDERLY PASE
RISK-FACTORS
CHINESE MEN
Issue Date: 9-Oct-2019
Publisher: PUBLIC LIBRARY SCIENCE
Citation: Tey, Siew Ling, Chew, Samuel Teong Huang, How, Choon How, Yalawar, Menaka, Baggs, Geraldine, Chow, Wai Leng, Cheong, Magdalin, San Ong, Rebecca Hui, Husain, Farah Safdar, Kwan, Shuyi Charmaine, Tan, Cynthia Yan Ling, Low, Yen Ling, Ngiap, Chuan Tan, Dieu, Thi Thu Huynh (2019-10-09). Factors associated with muscle mass in community-dwelling older people in Singapore: Findings from the SHIELD study. PLOS ONE 14 (10). ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0223222
Abstract: Objectives Aging is associated with low muscle mass and has been linked to adverse health outcomes. The objectives of this cross-sectional study were: (1) to describe anthropometry, body composition, appendicular skeletal muscle mass index (ASMI; appendicular skeletal muscle mass/height2), and prevalence of low ASMI in older people with normal nutritional status (Malnutrition Universal Screening Tool score = 0); (2) to determine factors associated with ASMI, and odds ratios of having low ASMI. Methods SHIELD is a study of community-dwelling older people aged 65 years and above in Singapore. ASMI was determined using bioelectrical impedance analysis and low ASMI was defined as <7.0 kg/m2 for males and <5.7 kg/m2 for females (Asian Working Group for Sarcopenia, 2014). Results A total of 400 older people (183 males and 217 females) took part in this study. The overall prevalence of low ASMI was 20.6% (15.5% in males and 24.9% in females). Females had significantly lower ASMI than males (P < 0.0001), age was inversely associated with ASMI (P = 0.0024) while BMI and calf circumference were positively associated with ASMI (both P < 0.0001) in the total cohort. In addition, ASMI was positively associated with bone mass in both genders (both P < 0.0001). After adjusting for covariates, the odds ratios of having low ASMI with every 1 year and 10 years increase in age were 1.13 (95% CI: 1.06, 1.20) and 3.36 (95% CI: 1.82, 6.21) respectively. Conclusions The high prevalence of low ASMI in community-dwelling older people with normal nutritional status highlights the need for early screening. There was a strong inverse association between age and ASMI while BMI, calf circumference and bone mass were positively associated with ASMI. These findings will give further weight to the importance and development of public health strategies in maintaining and improving muscle health in this population group.
Source Title: PLOS ONE
URI: https://scholarbank.nus.edu.sg/handle/10635/237940
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0223222
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