Chinese Journal of Tissue Engineering Research ›› 2024, Vol. 28 ›› Issue (14): 2197-2201.doi: 10.12307/2024.330

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A cross-sectional survey on the prevalence and risk factors of sarcopenia in the elderly in some areas of the Yunnan-Guizhou Plateau

Wang Ji1, Hu Li2, Yang Zhongya1, Han Peng3   

  1. 1College of Physical Education, Liupanshui Normal University, Liupanshui 553004, Guizhou Province, China; 2College of Physical Education, Yunnan University, Kunming 650091, Yunnan Province, China; 3College of Sports and Human Sciences, Harbin Sport University, Harbin 150008, Heilongjiang Province, China
  • Received:2023-04-18 Accepted:2023-05-22 Online:2024-05-18 Published:2023-07-28
  • Contact: Han Peng, MD, Lecturer, College of Sports and Human Sciences, Harbin Sport University, Harbin 150008, Heilongjiang Province, China
  • About author:Wang Ji, Master, Lecturer, College of Physical Education, Liupanshui Normal University, Liupanshui 553004, Guizhou Province, China
  • Supported by:
    Young Science and Technology Talents Growth Project of Guizhou Provincial Department of Education, No. KY[2020]113 (to WJ); Introduced Talents Scientific Research Start-up Fee of Harbin Sport University, No. RC21-202207 (to HP)

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Abstract: BACKGROUND: Epidemiological research data on sarcopenia in China are concentrated in some provincial capitals and developed areas, while research on sarcopenia in the elderly in the Yunnan-Guizhou Plateau is at the initial stage, and there is still a lack of understanding of the development mechanism, influencing factors and prevention methods of sarcopenia.
OBJECTIVE: Based on the 2019 Asian Sarcopenia Working Group Standard (AWGS2019), to assess sarcopenia in the elderly in the Yunnan-Guizhou Plateau, while analyzing the prevalence and risk factors of sarcopenia in the elderly. 
METHODS: A total of 1 327 elderly study subjects (650 males and 677 females) were recruited and their socio-demographic characteristics, clinical data and physical activity levels were collected. The prevalence of sarcopenia was screened using the AWGS2019 criteria. The possible influencing factors for sarcopenia were screened by univariate analysis, including χ2 test for comparing count data and t-test for comparing measurement data, and the indicators through univariate screening were included in the binary logistic regression model to assess the risk factors for sarcopenia, and then the odds ratio (OR) and 95% confidence interval (CI) were calculated. 
RESULTS AND CONCLUSION: The prevalence of sarcopenia in the elderly in the Yunnan-Guizhou Plateau was 14.62% (12.73% male and 16.49% female). Aging (OR=1.158, 95% CI: 1.133-1.185), female (OR=2.416, 95% CI: 1.629-3.586), fasting blood glucose ≥ 7.0 mmol/L (OR=1.653, 95% CI: 1.071-2.551), smoking (OR=1.595, 95% CI: 1.043-2.438) and a low physical activity level (OR=1.778, 95% CI: 1.154-2.737) were all independent risk factors for sarcopenia, while body mass index was a protective factor for sarcopenia (OR=0.708, 95% CI: 0.583-0.859). These findings indicate that aging, female, fasting glucose ≥ 7.0 mmol/L, smoking and low physical activity levels all increase the risk of sarcopenia, while increased body mass index can decrease the risk of sarcopenia. To conclude, the elderly (especially women) should maintain a healthy lifestyle and slightly higher body mass index levels during the aging process, thus reducing the risk of sarcopenia.

Key words: sarcopenia, skeletal muscle, lifestyle, physical activity, risk factor

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