DOI QR코드

DOI QR Code

Developing the Sarcopenia Risk Assessment Model in Korean Adults

한국 성인의 근감소증 위험도 평가점수 모형 개발

  • Eun-Jung, Bae (Department of Nursing, Catholic University of Pusan) ;
  • Il-Su, Park (Department of Healthcare Management, Dong-eui University)
  • 배은정 (부산가톨릭대학교 간호학과) ;
  • 박일수 (동의대학교 의료경영학과)
  • Received : 2022.10.28
  • Accepted : 2022.11.14
  • Published : 2022.11.30

Abstract

Objectives: The purpose of this study was to develop a model for comprehensively evaluating the risk of sarcopenia in Korean adults and to generate the sarcopenia risk scorecard model based on the results. Methods: The participants of the study were 7,118 adults without sarcopenia in the first basic survey, and a longitudinal analysis was conducted using data from the 1st to 8th survey (2006-2020) of the Korean Longitudinal Study of Aging (KLoSA). The data were analyzed using Rao-Scott chi-square test and weighted Cox proportional hazards regression of complex sampling design. The sarcopenia risk scorecard model was developed by Cox proportional hazards regression using points to double the odds (PDO) method. Results: The findings show that the risk factors for sarcopenia in Korean adults were gender, age, marital status, socioeconomic status, body mass index (BMI), regular exercise, diabetes and arthritis diagnosis. In the scorecard results, the case of exposure to the highest risk level was 100 points. The highest score range were given in the order of age over 65, low BMI, and low socioeconomic status. Conclusions: The significance of this study is that the causal relationship between various factors and the occurrence of sarcopenia in Korean adults was identified. Also, the model developed in this study is expected to be useful in detecting participants with risk of sarcopenia in the community early and preventing and managing sarcopenia through appropriate health education.

Keywords

Acknowledgement

이 논문은 2021년도 부산가톨릭대학교 교내연구비에 의하여 연구되었음.

References

  1. 강현철외 5명. (2014). 빅데이터 분석을 위한 데이터마이닝 방법론. 파주: 자유아카데미.
  2. 배우리, 맹성호, 정샘. (2020). 노인의 사회경제적 지위와 운동참여도 및 만성질환 유병률의 관계. 한국발육발달학회지, 28(1), 81-87.
  3. 범재원. (2020). 근감소증의 임상적 중요성. 대한노인재활의학회지, 10(2), 46-49.
  4. 신현구, 부가청, 이혜정. (2006). 고령화연구패널조사 제 1차 기본조사 소개. 노동리뷰, 21, 90-99.
  5. 오병택외 6명. (2017). 한국 노인에서 악력 저하와 관련된 요인. 대한임상노인의학회지, 18(1), 22-29.
  6. 우현석, 이석형, 조형준. (2013). 목표변수의 형태에 따른 신용평점 모형 구축. 한국데이터정보과학회지, 24(1), 85-94.
  7. 원장원. (2020). 일차의료에서 근감소증의 진단. 대한의사협회지, 63(10), 633-641.
  8. 이상교, 이정아,김진영,김영주,박혜순. (2014). 한국 노인 남성에서 근감소증과 연관된 위험요인 평가: 2009 년 국민건강영양조사 자료를 이용하여. 대한비만학회지, 23(1), 23-31.
  9. 이한나, 김보현. (2020). 한국 중년 이후 여성의 근감소증에 영향을 미치는 융합적 요인: 제 5기 국민건강영양조사 자료를 활용한 단면조사 연구. 한국융합학회논문지, 11(11), 405-416. https://doi.org/10.15207/JKCS.2020.11.11.405
  10. 질병분류정보센터, 제 8차 한국표준질병사인분류, 2021.1. https://www.koicd.kr/kcd/kcd.do
  11. Bae E, Kim Y. (2017). Factors affecting sarcopenia in korean adults by age groups. Osong Public Health Ressearch Perspective, 8(3), 159-168. https://doi.org/10.24171/j.phrp.2017.8.3.02
  12. Chen L 외 18명. (2014). Sarcopenia in asia: consensus report of the asian working group for sarcopenia. Journal of the American Medical Directors Association, 15(2), 95-101. https://doi.org/10.1016/j.jamda.2013.11.025
  13. Chen L 외 22명. (2020). Asian working group for sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment. Journal of the American Medical Directors Association, 21(3), 300-307.e2.
  14. De Buyser SL 외 6명. (2016). Validation of the FNIH sarcopenia criteria and SOF frailty index as predictors of long-term morꠓtality in ambulatory older men. Age Ageing, 45(5), 602-608. https://doi.org/10.1093/ageing/afw071
  15. Gallagher D 외 7명. (1997). Appendicular skeletal muscle mass: Effects of age, gender, and ethnicity. Journal of Applied Physiology, 83(1), 229-239. https://doi.org/10.1152/jappl.1997.83.1.229
  16. Goodpaster BH 외 9명. (2006). The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study. Journals of Gerontology Series a Biologocal Sciences And Medical Sciences, 61(10), 1059-1064. https://doi.org/10.1093/gerona/61.10.1059
  17. Han K 외 9명. (2014). Sarcopenia as a determinant of blood pressure in older koreans: Findings from the korea national health and nutrition examination surveys (KNHANES) 2008-2010. PloS One, 9(1), e86902. https://doi.org/10.1371/journal.pone.0086902
  18. He Q 외 8명. (2003). Total body potassium differs by sex and race across the adult age span 1'2'3. The American Journal of Clinical Nutrition, 78(1), 72-77.
  19. Hughes VA, Frontera WR, Roubenoff R, Evans WJ, Fiatarone-Singh MA. (2002). Longitudinal changes in body composition in older med and women: role of body weightchange and physical activity. American Journal of Clinical Nutrition, 76(2), 473-481. https://doi.org/10.1093/ajcn/76.2.473
  20. Jang HC. (2019). Diabetes and muscle dysfunction in older adults. Annals of Geriatric Medicine and Research, 23(4), 160-164. https://doi.org/10.4235/agmr.19.0038
  21. Jeng C 외 5명. (2018) Race and socioeconomic effect on sarcopenia and sarcopenic obesity in the Louisiana Osteoporosis Study (LOS). JSCM clinical reports, 3(2), 1-8.
  22. Kim KS 외 5명. (2014). Type 2 diabetes is associated with low muscle mass in older adults. Geriatrics & Gerontology International, 14, 115-121. https://doi.org/10.1111/ggi.12189
  23. Kwak H, Kim SB. (2007). Aging and sarcopenia. Journal of Korean Geriatric Society, 11(2), 55-59.
  24. Mann GE, Yudilevich DL, Sobrevia L. (2003). Regulation of amino acid and glucose transporters in endothelial and smooth muscle cells. Physiological Reviews, 83(1), 183-252. https://doi.org/10.1152/physrev.00022.2002
  25. Moon S. (2014). Low skeletal muscle mass is associated with insulin resistance, diabetes, and metabolic syndrome in the korean population: The korea national health and nutrition examination survey (KNHANES) 2009-2010. Endocrine Journal, 61(1), 61-70. https://doi.org/10.1507/endocrj.EJ13-0244
  26. Schaap LA, van Schoor NM, Lips P, Visser M. (2018). Associations of sarcopenia definitions, and their components, with the incidence of recurrent falling and fractures: the longitudinal aging study Amsterdam. Journals of Gerontology Series a Biologocal Sciences And Medical Sciences, 73(9), 1199-1204. https://doi.org/10.1093/gerona/glx245
  27. Short KR, Vittone JL, Bigelow ML, Proctor DN, Nair KS. (2004). Age and aerobic exercise training effects on whole body and muscle protein metabolism. American Journal of Physiology-Endocrinology and Metabolism, 286(1), E92-E101. https://doi.org/10.1152/ajpendo.00366.2003
  28. Park HM. (2018). Current status of sarcopenia in Korea: A focus on Korean geripausal women. Annals of Geriatric Medicine and Research, 22(2), 52-61. https://doi.org/10.4235/agmr.2018.22.2.52
  29. Rom O, Kaisari S, Aizenbud D, Reznick AZ. (2012). Lifestyle and sarcopenia -etiology, prevention, and treatment. Rambam Maimonides Medical Journal, 3(4), e0024.
  30. Yang L, Smith L, Hamer M. (2019). Gender-specific risk factors for incident sarcopenia: 8-year follow-up of the english longitudinal study of ageing. Journal of Epidemiology Community Health, 73(1), 86-88. https://doi.org/10.1136/jech-2018-211258