Purpose: The purpose of this study was to investigate drinking as a health behavior during pregnancy. Methods: Secondary data obtained from the 2018 Korean Community Health Survey were analyzed using descriptive statistics, t-tests, Pearson correlation coefficients, and multiple regression analysis via the software IBM SPSS Statistics ver. 21.0. Results: The multiple regression analysis revealed that age, monthly income, job, depression, lifetime smoking habit, breakfast frequency, and experiences of unmet medical needs were significant drinkingrelated factors connected with health behaviors during pregnancy. Conclusion Several factors are associated with drinking during pregnancy. To improve health promotion during pregnancy, alcohol prevention programs should be developed that consider one’s socioeconomic status and health behaviors.

BACKGROUND: To compare the diagnostic value between Phalen's test and reverse Phalen's test using a morphological change of the median nerve and the carpal tunnel in diabetics and normal controls seen by high-resolution ultrasonography and to research on an ultrasonography as an available tool for the screening and follow up aid-test of the carpal tunnel syndrome(CTS). METHODS: A cross-sectional area and a flattening ratio of the median nerve, and a cross-sectional area of the carpal tunnel were measured in neutral, maximally flexed(Phalen's test), and maximally extended (reverse Phalen's test) positions in 59 wrists of 30 normal controls and 60 wrists of 30 diabetics. RESULTS: 1) In controls and diabetics, the mean cross-sectional area of median nerve at the hamatum were 8.8/10.2 mm2, 8.0/9.5 mm2, 8.3/9.4 mm2, the mean flattening ratio were 3.0/3.0 mm2, 2.4/2.0 mm2, 3.2/3.0 mm2, the mean cross-sectional area of carpal tunnel were 176.5/197.7 mm2, 157.9/187.0 mm2, 170.6/192.5 mm2 in neutral, maximal flexion and maximal extension. 2) In controls, the cross-sectional area of median nerve and carpal tunnel were significantly decreased in maximal flexion(p<0.01), and in maximal extension(p<0.01). 3) In controls, the mean flattening ratio of median nerve was revealed significant change in maximal flexion(p<0.01), and in maximal extension(p<0.01). 4) In diabetics, the flattening ratio was significantly decreased in maximal flexion(p<0.01) with com- paring to neutral position. 5) In diabetics, the cross-sectional area of median nerve and carpal tunnel were significantly increased in all positions(p<0.05), and the mean flattening ratio of median nerve was similar to controls. CONCLUSION: In diabetics, increased cross-sectional area of median nerve can be explained by swelling of median nerve, also increased cross-sectional area of carpal tunnel is can be said to have taken place by the decreasing of the useful space in between the median nerve and carpal tunnel, this show that the diabetics have the high risk of the CTS. Phalen's test reveals higher degree of irritation to median nerve, The high-resolution ultrasonography is suggested as an available tool for the screening and follow up aid-test for the CTS
Carpal Tunnel Syndrome ; Follow-Up Studies ; Mass Screening ; Median Nerve* ; Ultrasonography ; Wrist*

No abstract available.
Adult ; Hidradenitis ; Humans

PURPOSE: This study was conducted to investigate the health behaviors and disease prevalence associated with high-risk drinking among Korean women and conduct risk factor analysis of high-risk drinking. METHODS: The 2012 Korea Community Health Survey (KCHS) was used to sample 59,522 adult women aged 19~64 age who had at least one drink during the previous one year. Data were analyzed using descriptive statistics, t-tests, Chi-squared tests, and logistic regression. RESULTS: The results revealed that 19~44 year old, unmarried women - who had graduated high school were high as high-risk drinking. Moreover, smoking, depression and stress were many. Finally, multiple logistic analysis showed that age, marital status, education level, smoking and obesity were significantly related to high-risk drinking. CONCLUSIONS: When investigating factors influencing high-risk drinking, it is important to develop appropriate health promotion programs for women who exhibit high-risk drinking behavior. The results of this study will be useful to development of such programs.
Adult ; Depression ; Drinking Behavior ; Drinking* ; Education ; Female ; Health Behavior* ; Health Promotion ; Health Surveys ; Humans ; Korea ; Logistic Models ; Marital Status ; Obesity ; Prevalence* ; Risk Factors* ; Single Person ; Smoke ; Smoking

No abstract available.
Antibody Formation* ; Lymphocytes* ; Mycobacterium tuberculosis* ; Mycobacterium*

PURPOSE: The study was performed in order to identify the relationship between health behaviors and Internet use among adolescents. METHODS: The study used raw data from the Korean Youth Risk Behavior Web-Based Survey that was performed in 2012. Data of a total of 74,186 students were analyzed using SPSS/WIN 18. The data were analyzed using descriptive statistics, t-test, and Pearson's correlation. RESULTS: Internet use and health behaviors were significantly related to gender, depression, suicidal intent, parents' educational level, cohabitation with parents at home, school location, and grade. There was a significant association between Internet use and health behaviors in adolescents. CONCLUSION: Health promotion and education programs need to consider factors found relevant in this study.
Adolescent* ; Depression ; Education ; Health Behavior* ; Health Promotion ; Humans ; Internet* ; Parents ; Risk-Taking

No abstract available.
Mycobacterium tuberculosis* ; Mycobacterium* ; Polymerase Chain Reaction* ; Sputum*

No abstract available.
Humans* ; Lymphokines* ; Monocytes* ; Mycobacterium tuberculosis* ; Mycobacterium*

OBJECTIVES: To examine health behaviors among Korean adolescents with a focus on both individual and school-based factors, specifically in relation to predictors of high-risk groups. METHODS: Secondary data analysis was conducted with data from the 8th Korea Youth Risk Behavior Web-Based Survey, using descriptive statistics, t tests, χ2 test, and multilevel logistic regression analysis. Health Practice Index was calculated and a range of 0 to 2 was classified as a high-risk group. RESULTS: The results revealed that the individual-level variables of sex, age, stress, depression, subjective health status, school performance, health education, father’s level of education, and living situation were significant predictors of high-risk behaviors. The risk was greater in girls, greater with higher age and higher stress scores, greater in adolescents with depression, greater with lower paternal educational level, and greater in adolescents who did not live with both parents, as were the school-level variables of school grade and school affluence score. The possibility of being in the high-risk group in health behavior was greater if a student attended a school where the Family Affluence Score (FAS) was lower. CONCLUSION: School health education should be expanded to manage students’ high-risk health behaviors, especially in schools that have many students from families with a low affluence status.
Adolescent ; Depression ; Diagnostic Self Evaluation ; Education ; Female ; Health Behavior ; Health Education ; Humans ; Korea ; Logistic Models ; Multilevel Analysis ; Parents ; Risk Factors ; Risk-Taking ; School Health Services ; Statistics as Topic

PURPOSE: Recently, considering the large number of adolescents suffering from chronic illness, it is important to identify the factors affecting the quality of life (QoL) in order to develop intervention programs. METHODS: Data were analyzed using IBM SPSS 21.0. The general characteristics, psychosocial health status, and life satisfaction distributions of the participants were analyzed using frequency, percentage, mean, and standard deviation. Cronbach's alpha coefficients were calculated to test the reliability of the instrument. The differences in psychosocial health status and life satisfaction according to gender were tested with t-test and Chi-square test. Additionally, multiple regression analysis was used to examine the effect of psychosocial health status on life satisfaction. RESULTS: The multiple regression analysis revealed that depression, ego resilience, and self-esteem were associated with the QoL in both male and female participants. Economic status, subjective health, peer attachment, and smart phone addiction were associated with the QoL in male participants, while exercise time during physical education classes, social withdrawal, and school adaptation were associated with the QoL in female participants. CONCLUSION: The findings suggest that a health promotion program should be developed, which reflects gender differences, to improve the QoL of adolescents with chronic illness.
Adolescent ; Chronic Disease ; Depression ; Diagnostic Self Evaluation ; Ego ; Female ; Health Promotion ; Humans ; Male ; Physical Education and Training ; Quality of Life ; Smartphone ; Social Class