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의사결정나무 분석을 이용한 한국 노인의 성별 근감소증 위험군 규명:국민건강영양조사 자료 기반 횡단적 연구: 국민건강영양조사 자료 기반 횡단적 연구

Translated title of the contribution: Identification of sex-specific sarcopenia risk groups among older adults using decision tree modeling: a cross-sectional study based on the Korean National Health and Nutrition Examination Survey
  • Jeonbuk National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

Purpose: This study aimed to identify sex-specific sarcopenia risk groups among older adults. Methods: Data were obtained from 1,870 Korean adults aged 65 years or older who participated in the Korea National Health and Nutrition Examination Survey between 2022 and 2023. Sarcopenia was evaluated based on hand grip strength and skeletal muscle mass. Statistical analyses incorporating complex sample methods, along with decision tree analysis, were conducted using SPSS version 29.0. Results: The prevalence of reduced muscle strength, decreased muscle mass, and sarcopenia was 14.7%, 30.2%, and 8.1%, respectively. Sarcopenia was observed in 6.4% of men and 9.7% of women. In men, eleven sarcopenia risk pathways were identified based on age, anemia, education level, body mass index (BMI), perceived health status, hemoglobin A1c, diabetes, diastolic blood pressure, income, living status, acceptable macronutrient distribution range (AMDR) for protein, and aerobic exercise. The strongest predictor of sarcopenia risk in men was age ≥ 77 years, in combination with low educational attainment and anemia. In women, six sarcopenia risk pathways were identified based on age, BMI, AMDR for protein, high density lipoprotein-cholesterol, triglycerides, and living status. The strongest predictor of sarcopenia risk in women was age ≥ 74 years combined with low BMI. Conclusion: Sarcopenia risk factors and pathways differed substantially by sex among older adults. These findings suggest that sex-specific screening and targeted prevention strategies may be effective in reducing sarcopenia risk in older adults.

Translated title of the contributionIdentification of sex-specific sarcopenia risk groups among older adults using decision tree modeling: a cross-sectional study based on the Korean National Health and Nutrition Examination Survey
Original languageKorean
Pages (from-to)78-95
Number of pages18
JournalJournal of Korean Biological Nursing Science
Volume28
Issue number1
DOIs
StatePublished - 2026.02

Keywords

  • Aged
  • Decision trees
  • Sarcopenia
  • Sex

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