Okhee Ahn

A Study on Risk Factors of Metabolic Syndrome and Health Behaviors in a Region - 2014 community health survey -

Recently, Korea has undergone rapid social and economic development, and with that came various changes in living habits and disease patterns; the nation, accordingly, has been alerted to the associated risks of chronic ailments. As risk factors of metabolic syndrome commonly include causal factors of chronic diseases, prevention is important. The prevalence of metabolic syndrome in Korean adults is 22.4%, which comprises a large portion of the whole disease (Korean National Health and Nutrition Examination Survey, 2013). This study aims to examine the elements of healthy living practices by analyzing the risk factors of metabolic syndrome and health behaviors, and provide basic materials to contribute to the activation of health promotion. Among 12,481 subjects of the source data from the 2014 community health survey, which was performed on adults aged 19 and over in Jeonlabuk-do, 12,185 people were analyzed in this study using SPSS 23.0. There were significant differences with respect to sex, smoking status, age, education level, and number of days of physical activity among the results of the difference of the risk factors of the metabolic syndrome according to the characteristics of the health behavior of the subjects . Of the risk factors for metabolic syndrome, this study emphasized the necessity of strategies to promote health programs regarding the management of drinking, smoking, physical activities, depression, subjective health condition and quality of life to the group of those with dyslipidemia, hypertension, and diabetes .

Factors Affecting Successful Aging in Rural Elderly People

Abstract This study was done to examine the affecting factors of successful aging to provide basic information for developing intervention program for the rural elderly. Methods: A cross-sectional descriptive design was used. Data was collected through questionnaire from 208 people with age over 65 residing in an rural community. They were recruited by convenience sampling. Collected data were analyzed by independent t-test, one-way ANOVA, Pearsons correlation coefficients, and multiple regression through SPSS/WIN 21.0 program. Results: Explanatory factors affecting the rural elderlys successful aging were social support, depression, cognitive function, productive activity and Activities of daily living, respectively, and these five factors accounted for 42.1% of the variance in successful aging. Conclusion: The rural elderlys successful aging requires establishment of social support system such as health medical service supply and social activities by being connected with social communities, and for this, this study suggests that there be a necessity of developing customized nursing intervention program.