[논문]신체활동 수준이 암 생존자의 건강 관련 삶의 질에 미치는 영향: 2014-2018년 국민건강영양조사 자료 활용 연구

오진경; 허익수

doi:10.5932/jkphn.2021.35.1.72

신체활동 수준이 암 생존자의 건강 관련 삶의 질에 미치는 영향: 2014-2018년 국민건강영양조사 자료 활용 연구
Influence of Physical Activity Level on the Health-related Quality of Life of Cancer Survivors: Based on the Korea National Health and Nutrition Examination Survey for 2014-2018 원문보기

韓國保健看護學會誌 = Journal of Korean public health nursing, v.35 no.1, 2021년, pp.72 - 88

오진경 (서울대학교 간호대학) , 허익수 (서울대학교 간호대학 및 간호과학연구소)

Abstract ▼ AI-Helper

Purpose: This study investigated the associations between physical activities (PAs) and the health-related quality of life (HRQOL) and perceived health status (PHS) of cancer survivors. We further examined the interaction effects of PAs and covariates on HRQOL and PHS. Methods: Data sets were obtained from the 2014-2018 Korea National Health and Nutrition Examination Survey. The subjects were 1,349 cancer survivors aged over 18 years old. Data were analyzed using R 4.0.3 and SPSS 18.0. Logistic regression analysis was conducted considering only the main terms, or including additional interaction terms between PAs and covariates. Results: Moderate and high PAs showed significantly improved HRQOL related to self-care domain, euro quality of life-5 dimension index, and PHS. Interaction analysis revealed that high PAs resulted in improved HRQOL associated with self-care and pain/discomfort in cancer survivors having depression. Moreover, for low- and middle-income levels, higher PAs served to improve HRQOL associated with depression/anxiety. In contrast, higher PAs rather reduced HRQOL for the high-income group. Conclusions: To improve HRQOL, we recommend PAs higher than the moderate level for cancer survivors. In case of cancer survivors having depression or belonging to the high-income group, it is necessary to manage individual PAs considering the interaction effects.

주제어

표/그림 (5)

표 Table 1. Baseline Characteristics of the Subjects according to the PA Level (N=1,349)
그림 Figure 1. Heatmaps Using Significant Interaction Models The effects of each combinational level were calculated using the beta coefficients in Table 4. For example, 1.13 in Figure 1-a was calculated as the sum of 0.50, -1.34, and 1.97.; (a) The Interaction Effect between the Physical Activity and Depression on Self-care Related Quality of Life; (b) The Interaction Effect between the Physical Activity and Depression on Pain-related Quality of Life; (c) The Interaction Effect between the Physical Activity and Income on Anxiety-related Quality of Life
표 Table 2. Comparison of the Health-related Quality of Life and Perceived Health Status according to the PA Level (N=1,349)
표 Table 3. Logistic Regression Analysis Results for the Health-related Quality of Life and Perceived Health Status according to the PA Level
표 Table 4. Logistic Regression Analysis Results with Bayesian Approach for Detecting the Significant Interaction Term according to the PA Level

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