• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.497-507
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• 2018

Objectives: The purpose of this article was to evaluate the health related quality of life (HRQoL) of cancer survivors and to identify its predictors according to gender. Methods: The research was conducted with the data for 203 (cancer survivors?) taken from the 6th wave of the Korea National Health and Nutrition Examination Survey and the EQ-5D index score was used for the measurement of the health-related quality of life (HRQoL). The independent variables inluded socio-demographic data, health related factors (survival duration, disability, subjective health recognition), and psychosocial factors (stress, unmet medical needs). The data were analyzed by the t-test, ANOVA, and hierarchical multiple regression analysis. Results: the HRQoL of the female cancer survivors was significantly worse than that of the males in terms of their mobility, usual activities, pain/discomfort and anxiety/depression quality of life. The only statistically significant factor affecting the HRQoL of the male cancer survivors was their subjective health recognition. In the case of the female cancer survivors, the statistically significant factors were their age, subjective health recognition and unmet medical needs. Conclusions: the results of this study showed a different pattern of predictors according to the gender of the cancer survivors. Therefore, gender should be considered when assessing and addressing the individual care needs of cancer survivors, in order to obtain optimal treatment outcomes.

• Journal of agricultural medicine and community health
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• v.40 no.1
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• pp.21-31
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• 2015

Objective: This study was to evaluate the health-related quality of life (HRQoL) among patients with diabetes in Korea and to compare them with the HRQoL of individuals without diabetes history. Methods: The study subjects were 17,655 adults aged over 19 who participated in the 5th Korea National Health and Nutrition Examination Survey (2010-2012). The EuroQoL-5Dimension was used to evaluate HRQoL. Chi-square test, t-test, ANOVA and multiple regression analysis were performed to test the difference of HRQoL in diabetic subjects and controls. Results: The mobility dimension was the highest reported problem: 36.4% for diabetic subjects. The proportion of any reported problem was significantly high among diabetic subjects compared with two controls in terms of mobility [reference group: diabetic subjects, chronic controls: adjusted odds ratio (aOR)=0.77, 95% confidence interval (95% CI)=0.66-0.91, healthy controls: aOR=0.61, 95% CI=0.50-0.75], self-care [reference group: diabetic subjects, chronic controls: aOR=0.68, 95% CI=0.55-0.83, healthy controls: OR=0.69, 95% CI=0.51-0.94]. and usual activities [reference group: diabetic subjects, chronic controls: aOR=0.85, 95% CI=0.72-0.99, healthy controls: OR=0.79, 95% CI=0.62-0.98]. Also, EQ-5D index were significantly low in subjects with diabetes compared to two controls. Conclusions: Subjects with diabetes had a significantly lower HRQoL compared with two controls. To improve the quality of life of diabetics, it is necessary to study various variables related to the quality of life, and develop and manage various health programs or welfare policies reflecting socio-demographic characteristics and health related features that affect the quality of life.

• Journal of Nutrition and Health
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• v.54 no.1
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• pp.23-38
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• 2021

Purpose: This study was undertaken to evaluate the health, nutritional status and metabolic syndrome risk according to the dietary pattern of adult single-person households, using information obtained from the Korea National Health and Nutrition Examination Survey (KNHANES). Methods: Data were collected from the 2013-2016 KNHANES, of adults aged 19-64 years, belonging to single-person households. Based on cluster analysis, the dietary patterns of subjects were classified into three groups. The dietary behavior factors, health-related factors, nutritional status, and prevalence of metabolic syndrome obtained from KNHANES questionnaires were compared according to the individual dietary pattern. The nutrient intake data of the subjects were calculated using the semi-food frequency questionnaire. Moreover, blood and physical measurement data of the subjects were analyzed to obtain the prevalence of metabolic syndromes. Results: The major dietary intakes of subjects were classified as 'Rice and kimchi', 'Mixed', and 'Milk·dairy products and fruits' patterns. Characteristics of subjects based on their dietary pattern, gender, age, and education level were significantly different. The 'Milk and fruits' pattern showed low frequency of skipping breakfast and eating out, and had higher intake of dietary supplements. Frequency of alcohol intake and smoking rates were highest in the 'Mixed' pattern. Maximum nutrient intake of fat, vitamin A, riboflavin, vitamin C, niacin, calcium, phosphorus, and potassium was obtained in the 'Milk·dairy products and fruits' pattern. According to dietary patterns adjusted for age and gender, the risk of metabolic syndrome was 0.380 times lower in the 'Milk·dairy products and fruit' pattern than in the 'Rice and kimchi' pattern. However, when adjusted for other confounding factors, no significant difference was obtained between dietary patterns for metabolic syndrome risk. Conclusion: These results indicate that the health and nutritional status of a single-person household is possibly affected by the dietary intake of subjects.