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Analysis of the Prevalence of Sarcopenia and Its Risk Factors in the Elderly in the Chengdu Community

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The journal of nutrition, health & aging

Abstract

Objective

To understand the prevalence of sarcopenia in the Chengdu community, analyze the risk factors of sarcopenia, and provide a theoretical basis for further development of strategies for sarcopenia prevention and treatment.

Methods

A total of 938 individuals aged 60 years and above were recruited from the community of Chengdu. Skeletal muscle mass was measured by the bioelectrical impedance analysis (BIA), and sarcopenia was diagnosed according to the Asian Sarcopenia Working Group (AWGS) 2019 diagnostic criteria. A scale was generated to determine the age, living habits, and chronic diseases of enrolled subjects. The Mini Mental Examination Scale (MMSE) was used to assess their cognitive function, and the Geriatric Depression Scale (GDS-15) was used to identify depression.

Results

Among the 938 residents enrolled in the study, 172 (18.34%) had sarcopenia, including 48 (5.12%) with severe sarcopenia. The prevalence of sarcopenia in males was 19.91% and 16.81% in females. According to the binary logistic regression, older age (OR = 1.104, 95%CI: 1.059–1.151) and impaired cognitive function (OR = 2.251, 95%CI: 1.145–4.424) were independent risk factors for sarcopenia in females. Among the males, older age (OR = 1.079, 95%CI: 1.037–1.124) was the independent risk factor for sarcopenia. A moderate increase in BMI reduced the prevalence of sarcopenia in both females and males. Multi-category logistic regression analysis documented that females of older age were more likely to develop severe sarcopenia (χ2 = 16.769, P < 0.01 vs. no sarcopenia), females with lower BMI were more likely to develop severe sarcopenia (χ2 = 13.654, P < 0.01 vs. no sarcopenia), females with heart disease were more likely to develop severe sarcopenia (χ2 = 5.786, P = 0.016 vs. no sarcopenia; χ2 = 5.791, P = 0.016 vs. non-severe sarcopenia), and females with impaired cognitive function were more likely to develop severe sarcopenia (χ2 = 13.381, P < 0.01 vs. no sarcopenia; χ2 = 7.529, P = 0.006 vs. non-severe sarcopenia). Males were more likely to develop severe sarcopenia with older age (χ2 = 18.435, P < 0.01 vs. no sarcopenia; χ2 = 9.8011, P=0.002 vs. non-severe sarcopenia), lower BMI (χ2 = 12.736, P < 0.01 vs. no sarcopenia), smoking (χ2 = 4.68, P = 0.031 vs. no sarcopenia; χ2 = 5.652, P = 0.017 vs. non-severe sarcopenia), and chronic obstructive pulmonary disease (COPD) (χ2 = 5.517, P = 0.019 vs. no sarcopenia).

Conclusion

In the Chengdu community, the prevalence of sarcopenia among individuals 60 years of age or older was higher in males than in females. In elderly females, older age and impaired cognitive function were independent risk factors for sarcopenia. Women with more advanced age, decreased BMI, heart disease, and impaired cognitive function were more likely to develop severe sarcopenia. In elderly males, increased age was an independent risk factor for sarcopenia, and older age, decreased BMI, smoking, and COPD increased the probability of developing severe sarcopenia.

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References

  1. Chen L K, Woo J, Assantachai P, et al. Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment[J]. Journal of the American Medical Directors Association, 2020., 21(3):300–307.DOI:https://doi.org/10.1016/j.jamda.2019.12.012.

    Article  Google Scholar 

  2. Morley J E. Sarcopenia in the elderly [J]. Family Practice, 2012, 29 Suppl 1(suppl 1):i44–i48.

    Article  Google Scholar 

  3. Lang T, Streeper T, Cawthon P, et al. Sarcopenia: etiology, clinical consequences, intervention, and assessment[J]. Osteoporos Int, 2010.21(4):543–559.

    Article  CAS  Google Scholar 

  4. Y Rolland, S, et al. Sarcopenia: Its assessment, etiology, pathogenesis, consequences and future perspectives[J]. Journal of Nutrition Health & Aging, 2008.12(7):433–450.

    Article  Google Scholar 

  5. CHEN LK, LIU LK, WOO J, et al. Sarcopenia in Asia: Consensus Report of the Asian Working Group for Sarcopenia[J]. Journal of the American Medical Directors Association, 2014, 15(2):95–101.

    Article  Google Scholar 

  6. Yu R, Wong M, Leung J, et al. Incidence, risk factors and the protective effect of high body mass index against sarcopenia in community-living older Chinese people[J]. Geriatrics & Gerontology International, 2014, 14 Suppl 1(S1): 15–28.

    Article  Google Scholar 

  7. Han P, Zhao J, Guo Q, et al. Incidence, risk factors, and the protective effect of high body mass index against sarcopenia in suburb-dwelling elderly Chinese populations [J]. Journal of Nutrition Health & Aging, 2016, 20(10): 1–5.

    Article  Google Scholar 

  8. Wang Hui, Haishan, Liu Ying, et al. Study on the prevalence and related factors of sarcopenia in the elderly in Chengdu community[J]. Journal of Sichuan University: Medical Science Edition, 2019, 50(02):224–228.

    Google Scholar 

  9. Hensel A, Angermeyer M C, Riedel-Heller S G. Measuring cognitive change in older adults: reliable change indices for the Mini-Mental State Examination [J]. Journal of Neurology Neurosurgery & Psychiatry, 2007, 78(12): 1298–303.

    Article  CAS  Google Scholar 

  10. Hsu Y H, Liang C K, Chou M Y, et al. Association of cognitive impairment, depressive symptoms and sarcopenia among healthy older men in the veterans retirement community in southern Taiwan: A cross-sectional study[J]. Geriatrics & Gerontology International, 2014,14(Suppl 1):102–108.

    Article  Google Scholar 

  11. Validation and comparison of three brief depression scales in an elderly Chinese population[J]. International Journal of Geriatric Psychiatry, 2000, 15(9):824–830.

  12. Liu XL, Hou LS, Xia X, et al. Prevalence of sarcopenia in multi ethnics adults and the association with cognitive impairment: findings from West-China health and aging trend study[J].BMC Geriatrics, 2020. https://doi.org/10.1186/s12877-020-1468-5.

  13. Wang Yuting, Hao Qiukui, Su Lin, et al. Study on the relationship between sarcopenia and cognitive impairment in the elderly in communities in my country[J]. Journal of Sichuan University (Medicine Edition), 2018, 49(05): 110–113.

    Google Scholar 

  14. Abellan v K G, Cesari M, Gillette-Guyonnet S, et al. Sarcopenia and cognitive impairment in elderly women: results from the EPIDOS cohort.[J]. Age & Agng, 2013, 42(2): 196–202.

    Article  Google Scholar 

  15. Chang K V, Hsu T H, Wu W T, et al. Association Between Sarcopenia and Cognitive Impairment: A Systematic Review and Meta-Analysis [J]. Journal of the American Medical Directors Association, 2016,17(12): 1164.e7–1164.e15.

    Article  Google Scholar 

  16. Budui S. The pathogenetic bases of sarcopenia[J]. Clin Cases Miner Bone Metab, 2015.12(1):22–25.

    PubMed  PubMed Central  Google Scholar 

  17. Hallgren M, Herring MP, Owen N et al. Exercise, physical activity, and sedentary behavior in the treatment of depression: broadening the scientifific perspectives and clinical opportunities. Front Psychiatry 2016,7(36): 1–5.

    Google Scholar 

  18. Chang K V, Hsu T H, Wu W T, et al. Is sarcopenia associated with depression? A systematic review and meta-analysis of observational studies[J]. Age & Agng, 2017(0):1–9.

    Google Scholar 

  19. Kitzman D W, Nicklas B J, Kraus W E, et al. Skeletal muscle abnormalities and exercise intolerance in older patients with heart failure and preserved ejection fraction[J]. Am J Physiol Heart Circ Physiol, 2014, 306(9):H1364–H1370.

    Article  CAS  Google Scholar 

  20. Yin J, Lu X, Qian Z, et al. New insights into the pathogenesis and treatment of sarcopenia in chronic heart failure[J]. Theranostics, 2019, 9(14):4019–4029.

    Article  CAS  Google Scholar 

  21. CHEN LK, LEE WJ, PENG LN, et al. Recent advances in sarcopenia research in Asia:2016 update from the Asian Working Group for Sarcopenia[J].J AM Med Dir Assoc,2016, 17(8)767e1–767e7.

    Article  Google Scholar 

  22. Yang Guangzhao, Wang Yu. Chronic obstructive pulmonary disease and sarcopenia in the elderly[J]. Practical Geriatrics, 2020, v.34(03):7–9

    Google Scholar 

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Acknowledgement

This work was supported by Platform Construction of National Clinical Research Center for Geriatric Medicine (Supported by 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University). Item Number: ZY2017201. The financial sponsors had no role in the design, implementation, analyses, or reporting of the results. We thank the Yulin Community Health Center, Chengdu who supported the recruitment of all study participants.

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Authors and Affiliations

  1. Zigong Mental Health Center, Zigong, China

    X. Chen

  2. National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

    L. Hou, Y. Zhang & Birong Dong

Authors
  1. X. Chen
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  2. L. Hou
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  3. Y. Zhang
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  4. Birong Dong
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Corresponding author

Correspondence to Birong Dong.

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Conflict of interests: The authors declare no conflict of interests.

Ethical Standards: This study was approved by the Ethics Committee of West China Hospital, Sichuan University.

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Chen, X., Hou, L., Zhang, Y. et al. Analysis of the Prevalence of Sarcopenia and Its Risk Factors in the Elderly in the Chengdu Community. J Nutr Health Aging 25, 600–605 (2021). https://doi.org/10.1007/s12603-020-1559-1

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  • DOI: https://doi.org/10.1007/s12603-020-1559-1

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