Association between sarcopenia and metabolic syndrome in middle-aged and elderly people in Urumqiï¼ Xinjiang
Journal Title: Shanghai Journal of Preventive Medicine - Year 2023, Vol 35, Issue 1
Abstract
ObjectiveTo obtain the prevalence of sarcopenia in middle-aged and elderly people in Urumqi based on the 2020 updated based on the 2020 updated Consensus Report 2019 of Asian Working Group for Sarcopenia ï¼AWGS2019ï¼ï¼ and to further explore the association between sarcopenia and metabolic syndrome ï¼MSï¼.MethodsA total of 1 438 middle-aged and elderly people ï¼agedâ¥50 yearsï¼ in Urumqi from July 2018 to January 2019 were selected as the research subjects. Data were collected by questionnaire surveyï¼ physical examination and laboratory test. Skeletal muscle massï¼grip strength and 4 m walking speed were used to represent muscle massï¼ muscle strength and body functionï¼ respectively. Bioelectrical impedance analysis ï¼BIAï¼ was used to measure human body components. Based on the diagnostic criteria of sarcopenia recommended by AWGS2019ï¼ the prevalence of sarcopenia in people over 50 years old was obtained. Multivariate logistic regression model was used to explore the correlation between sarcopenia and MS in middle-aged and elderly people of different genders.ResultsThere were 194 patients with sarcopeniaï¼ with a prevalence of 13.49%. The prevalence was 15.56% in males and 12.12% in females. There was no significant difference in the prevalence of MS between male sarcopenia group ï¼40.45%ï¼ and non-sarcopenia group ï¼38.92%ï¼ï¼ while the prevalence of MS in female sarcopenia group ï¼39.04%ï¼ was higher than that in non-sarcopenia group ï¼27.56%ï¼. Multivariate logistic regression analysis showed that sarcopenia was a related factor of MS. Compared with non-sarcopeniaï¼ the risk of MS in male sarcopenia group was higher ï¼OR=2.11ï¼95%CIï¼ 1.15â3.88 ï¼.ConclusionSarcopenia increases the risk of MS in middle-aged and elderly peopleï¼ with a greater risk in men. Fully understanding of sarcopenia is helpful to early identify high-risk groups of MS and prevent the occurrence of MS.
Authors and Affiliations
NUERBIYAMU Aiheti,CHEN Simin,SHEN Jing,ZHOU Tao,MA Runze,YANG Lei,
Keywords
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