Health-related Quality of Life in Multimorbid Adults: A Random Forest Cross-sectional Analysis of the Korean National Health and Nutrition Examination Survey.
Purpose: This study aimed to identify predictors of health-related quality of life (HRQoL) among adults with multimorbidity using Andersen's behavioral model and to develop a predictive model with a random forest(RF) algorithm. Methods: We conducted a secondary cross-sectional analysis of the 2019-2...
| Publicado en: | Journal of Korean Academy of Psychiatric & Mental Health Nursing (JKPMHN) Vol. 34; no. 3; pp. 349 - 360 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Korean Academy of Psychiatric & Mental Health Nursing
Sep2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189186690&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189186690 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 12258482 HC6L jtl: Journal of Korean Academy of Psychiatric & Mental Health Nursing (JKPMHN) issn: 12258482 maglogo: N pubinfo: dt: Sep2025 vid: 34 iid: 3 pid: 93726 pub: Korean Academy of Psychiatric & Mental Health Nursing artinfo: ui: 189186690 189186690 189186690 10.12934/jkpmhn.2025.34.3.349 189186690 ppf: 349 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Health-related Quality of Life in Multimorbid Adults: A Random Forest Cross-sectional Analysis of the Korean National Health and Nutrition Examination Survey. aug: au: You, Moonchang Kim, Geun-Myun affil: Graduate Student, Department of Nursing, Gangneung-Wonju National University, Wonju, Korea sug: subj: Quality of Life In Adulthood Health Status Comorbidity In Adulthood Theory Construction Health Behavior Prediction Models Random Forest Machine Learning Algorithms Risk Assessment South Korea Human Secondary Analysis Cross Sectional Studies Questionnaires Descriptive Statistics Decision Trees Confidence Intervals Middle Age Aged Male Female Educational Status Marital Status Economic Status Insurance, Health Employment Status Body Image Counseling Health Resource Utilization Exercise Intensity Age Factors Adult Conceptual Framework Middle Aged: 45-64 years Aged: 65+ years Adult: 19-44 years Male Female ab: Purpose: This study aimed to identify predictors of health-related quality of life (HRQoL) among adults with multimorbidity using Andersen's behavioral model and to develop a predictive model with a random forest(RF) algorithm. Methods: We conducted a secondary cross-sectional analysis of the 2019-2020 Korea National Health and Nutrition Examination Survey (KNHANES) including 858 adults with two or more chronic conditions. Predictors were grouped as predisposing, enabling, need, and health-behavior factors. HRQoL was measured with the EuroQol five-dimension index (EQ5D) value based on the Korean tariff. Model performance was evaluated using mean absolute error, root mean squared error, and the coefficient of determination. Variable importance and Shapley additive explanations (SHAP) were used for interpretation. Results: The mean HRQoL was 0.90 (standard deviation 0.14). The model achieved a mean absolute error of 0.08 and a coefficient of determination of 0.15. The strongest predictors were subjective health status, days of walking per week, age, monthly income, and private medical insurance; Shapley analyses confirmed their direction and relative influence. Conclusion: Andersen's model provided a coherent framework to interpret determinants of HRQoL in multimorbidity. The findings support routine assessment of subjective health, promotion of walking, and resource linkage for older adults and individuals with limited socioeconomic resources. Interpretable machine learning may aid early risk stratification and tailored nursing interventions. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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