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1.
Korean Journal of Family Medicine ; : 213-219, 2017.
Article in English | WPRIM | ID: wpr-10143

ABSTRACT

BACKGROUND: Youth suicide is increasingly being recognized as a major social problem in South Korea. In this study, we aimed to explore the effects of parental support on the relationship between life stress and suicidal ideation among middle-school students. METHODS: This study analyzed data from a cross-sectional study on mental health conducted by the South Korea National Youth Policy Institute between May and July of 2013. Questionnaire responses from 3,007 middle-school students regarding stress factors, thoughts of suicide during the past year, and parental support were analyzed in terms of 3 subscale elements: emotional, academic, and financial support. RESULTS: Among the participants, 234 male students (7.8%) and 476 female students (15.8%) reported experiencing suicidal ideation in the past year. Life stress significantly influenced suicidal ideation (P<0.001), and parental support and all of the subscale elements had a significant influence on decreasing suicidal ideation. As shown in model 1, life stress increased suicidal ideation (adjusted odds ratio [aOR], 1.318; P<0.001), and, in model 2, the effect of life stress on suicidal ideation decreased with parental support (aOR, 1.238; P<0.001). CONCLUSION: Parental support was independently related to a decrease in suicidal ideation, and life stress was independently related to an increase in suicidal ideation. Parental support buffered the relationship between life stress and suicidal ideation.


Subject(s)
Adolescent , Female , Humans , Male , Cross-Sectional Studies , Financial Support , Korea , Mental Health , Negotiating , Odds Ratio , Parent-Child Relations , Parents , Social Problems , Stress, Psychological , Suicidal Ideation , Suicide
2.
Korean Journal of Health Promotion ; : 20-31, 2016.
Article in Korean | WPRIM | ID: wpr-81692

ABSTRACT

BACKGROUND: Influenza causes morbidity and mortality, resulting in the medical and socioeconomic costs. We aimed to analyse whether socioeconomic and medical factors may affect influenza vaccination status divided into 2 groups; one aged 19 to 64 years old and the other aged 65 or over who are eligible for free vaccination. METHODS: The study included 1,412 individuals aged 19 and over who responded to influenza vaccination survey, based on 2013 National Health and Nutrition Examination Survey. Related factors were categorized into socioeconomic factors and medical factors. Univariate analyses were conducted to examine the correlations between vaccination rate and each variables. Multivariate analysis was obtained after adjusting variables which were statistcally significant. RESULTS: Influenza vaccination rate was significantly different in the population aged 19 to 64 (24.9%) and the population aged 65 or over (80.5%). In the former population, high vaccination rate was associated with healthcare usage (odds ratio [OR]=1.37, 95% confidence interval [CI]=1.03-1.83), underlying chronic diseases (OR=2.21, 95% CI=1.43-3.40), and public assistance recipient households (OR=2.21, 95% CI=1.03-4.78), while low vaccination rate was correlated with no use of medical check up (OR=0.70, 95% CI=0.52-0.94) and heavy alcoholics (OR=0.41, 95% CI=0.24-0.70). In the latter population aged 65 or over, high vaccination rate was associated with healthcare usage (OR=1.82, 95% CI=1.28-2.59), and underlying malignancies (OR=4.79, 95% CI=1.07-21.54), whereas low vaccination rate was associated with public assistance recipient households (OR=0.33, 95% CI=0.14-0.76), and no use of medical check up (OR=0.37, 95% CI=0.19-0.73). CONCLUSIONS: In the population below 65 years old, vaccination rate would be expected to rise by the recommendation of medical care providers and expanding the coverage of free vaccination. In elderly, individualized care for those who have less access to medical care and high susceptibility is highly recommended.


Subject(s)
Adult , Aged , Humans , Alcoholics , Chronic Disease , Delivery of Health Care , Family Characteristics , Influenza Vaccines , Influenza, Human , Mortality , Multivariate Analysis , Nutrition Surveys , Public Assistance , Socioeconomic Factors , Vaccination
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