PURPOSE
This secondary data analysis study was aimed at identifying the factors related to the patterns of alcohol use (normal alcohol use, hazardous alcohol use, and alcohol dependence) in the Korean adult.
METHODS
This study analyzed the cross-sectional data from 230,715 Korean adults aged 19 year and older who participated in the 2009 Korean Community Health Survey. Multinomial logistic regression was used to uncover associations between demographic, health related factors and the patterns of alcohol use.
RESULTS
The patterns of alcohol use was differentiated from the sociodemographic variables (residential area, gender, age, marital status, educational level, monthly income, and occupation) and with health related factors (smoking status, hours of sleep, body mass index, pain or discomfort, subjective health, stress level, liver disease, cardio/cerebro vascular disease, and depression). Hazardous alcohol use was lower in rural areas and lower among women, but higher among people who smoke, reported severe stress, and/or depression. Similarly, alcohol dependence was lower among women and among those in rural areas, and was more likely associated with those who smoke, have severe stress and depression.
CONCLUSION
A number of factors are associated with patterns of drinking. Smoking, severe stress and depression seems to confound the problems of alcohol use. Additional research is needed to isolate those factors that are the most important influencing the use of alcohol.

PURPOSE
This study was a secondary data analysis aimed at identifying the predictors of health-related quality of life (HRQoL) of the home-dwelling disabled person by using EQ-5D which is a standardized instrument used as a measure of health outcome.
METHODS
Data were drawn from the 3rd Korea National Health and Nutritional Examination Survey conducted by the Ministry of Health and Welfare (MOHW). Subjects were 1,021 home-dwelling disabled persons over 19 years of age. Data were analyzed by using descriptive statistics, t-test, Pearson's correlation, one-way ANOVA, Scheffe test, and Stepwise multiple regression.
RESULTS
HRQoL (Health Related Quality of Life) is differentiated within age, genders, educational level, employment status, economic status, types and grades of disability, health problems associated with limited mobility, and the limited duration of time. HRQoL is correlated with age, number of cohabiters, educational level, grades of disability, activities of daily living (ADL), and instrumental ADL (IADL). HRQoL is significantly associated with ADL, health problems in connection with limited mobility, employment status, types of disability, marital status, grades of disability, and the limited duration of time. These factors explained 63.7% of variance in HRQoL.
CONCLUSION
HRQoL among the disabled is related to their characteristics, ADL, and IADL. For this reason, it is necessary to develop health programs to promote those variables required to improve HRQoL.