• Research in Community and Public Health Nursing
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• v.8 no.2
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• pp.347-367
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• 1997

The purpose of this study was to investigate drug abuse and to find related factors among high school students. The subjects for this study were 973 students from 10 high schools in Taegu city. The data were collected from September 30, 1996 to October 30, 1996. The questionnaire developed by Kim Soyoaja (1991) surveyed adolescent drug use and questions on smoking and drinking were readjusted and added by the researcher based on review. The data was analyzed using frequency, percentage, $X^2-test$, t -test, Pearson Correlation Coefficient with the SPSS /PC+. The results of this study were summarized as follows: 1. The proportion of students who drank alcohol 1-2 times or more per year was 52.4% and smoked Cigarette 1 -2 times or more per year was 20.8%. The 7 different drugs(Analgetics 5.7%. sleeping pills and sedatives 4.2%, antihistamines 1.1%. stimulants 7.7%, hallucinogens 0.8%, inhalants 3.3%, and narcotics 0.6%) were also evaluated. 2. There was a significant relationship between drinking and type of school($X^2$=62.97, p<.0l), grades($X^2$=33.86, P<.001), school life($X^2$= 19.04, p<.001), and delinquent friends($X^2$= 64.72, P<.001). 3. There was a significant relationship between smoking and type of school($X^2$=153.65, p<.001), grades ($X^2$=67.53, p<.001), their respect for teachers ($X^2$=33.80, p<.001) school life($X^2$ =50.87, p<.001), and delinquent friends($X^2$ =85.28, p<.001). 4. There was a significant relationship between the 7 different kinds of drug abuse and type of school ($X^2$=14.65, p<.01), grades($X^2$=12.89, p<.01), their respect for teachers ($X^2$=8.46, p<.05), and delinquent friends($X^2$=22.42, p<.001). 5. There was a significant relationship between a parent's habitual drug abuse and the 7 different kinds of drug abuse($X^2$=7.78, p<.01), as well as a parent's attitude toward drugs and the 7 different kinds of drug abuse($X^2$=6.33, p<.05). 6. There was a significant difference between drinking(t=-12.53, p<.001), smoking(t=-15.98, p<.001), the 7 different kinds of drug abuse(t=-5.77, p<.001), and the respondant's delinquent experience. 7. There was a correlation between drinking and smoking(r=.4166, p<.001), drinking and the 7 different kinds of drug abuse(r=.2200, p<.001), smoking and the 7 different kinds of drug abuse(r=.1428, p<.05). There was a correlation between drinking and smoking(r=.5977, p<.001), drinking and the 7 different kinds of drug abuse(r=.2849, p<. 001), smoking and the 7 different kinds of drug abuse(r=.1711, p<.05) among male students. There was a correlation between drinking and smoking(r=.4219, p<.001), drinking and the 7 different kinds of drug abuse(r=.2611, p<.001), smoking and the 7 different kinds of drug abuse(r=.1764, p<.001) among female students. 8. There was a correlation between drinking and family stability(r=.0709, p<.05) drinkry and parent -child relationships (r=.1321, p<.01), drinking and mother's rearing attitude(r=.0704, P<.05), smoking and parent -child relationships(r=.0813, P<.05). There was a correlation between drinking and family stability(r=.14S7, p<.01), drinkng and parent-child relationships(r=.2147, p<.001), smoking and family stability(r=.1544, p<.01), smoking and parent. -child relationships (r=. 2018, P<.01) among male students. There was a correlation between drinking and family stability(r=.1l21, p<.05), drinking and mother's rearing attitude (r=.0988, P<.05), smoking and parent -child relationships (r=. 0940, P<.05) among female students. 9. There was a significant difference between the 7 different kinds of drug abuse and family stability (t=2.23, p<.05), parent-child relationships (t=4. 34, p<.001), satisfaction with family (t=4.02, p<.001), father's rearing attitude(t=3.04, p<.01), mother's rearing attitude(t=2.87, p<.01). The distribution channel of drugs including alcohol beverages and cigarettes should be evaluated and restructured to discourage student's temptation and to limit accessibility. The step by step preventive teaching on alcohol drinking and cigarette smoking is needed from middle school to help prevent further drug abuse.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.385-395
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• 2017

The purpose of this study was to identify factors influencing happiness of nursing students. Data were collected from 219 nursing students in G city and analyzed by the SPSS/WIN 18.0 program. The degree of happiness of nursing students was $27.77{\pm}.2.99$. Happiness had negative correlations with stress in (r=-.889, p<.001), and positive correlations with Gratitude disposition (r=.335, p<.001), Social support (r=.334, p<.001). Factors that had an influence on happiness included stress(${\beta}=-.844$, p<.001), gratitude disposition(${\beta}=.126$, p<.001), grade point average(${\beta}=-.083$, p=.003), social support,(${\beta}=.090$, p=.005). These factors explained 84.0% of the variance in nursing students happiness. These results suggest that development of program to improve happiness of nursing students.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.85-93
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• 2020

This study was conducted to investigate ego resilience, cognitive emotion regulation strategies, academic stress on mental health of nursing students and provide data to increase mental health for nursing students based on the results. This research involved 299 nursing students in B city. The analyzed by the t-test, ANOVA, Pearson's correlation coefficient, multiple regression using SPSS/WIN 22.0. In results of the study, the average of mental health was 3.77±.98. Mental health were positively correlated with ego resilience (r=.450, p<.001), cognitive emotion regulation strategies (r=.408, p<.001), and was negatively correlated with academic stress (r=-.469, p<.001). Regression analysis showed 38.4% of variance in nursing student's the mental health can by experience of dating with age (β=-.171, p=.001), adjustment to college life (β=.223, p<.001), ego resilience (β=.203, p<.001), cognitive emotion regulation strategies (β=.179, p=.001), academic stress (β=-.193, p=.001). The fallow-up survey about various factors influencing nursing student's the mental health increasing program developing are required.

• Korean Journal of Community Nutrition
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• v.20 no.2
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• pp.96-108
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• 2015

Objectives: This study was performed to investigate health-related factors, nutrition knowledge and food habits of college students in Wonju. Methods: A total of 442 (male: 221, female: 221) college students were recruited and a questionnaire-based survey was conducted. The general characteristics, health-related factors, nutrition knowledge, and food habits were investigated and data were analyzed using SPSS WIN (ver 21.0). Results: The body mass index ($22.9kg/m^2$ vs $20.9kg/m^2$, p < 0.001) was significantly higher in the males. The ratio of weight (p < 0.001) was significantly different between males and females. Health-related factor scores 'Exercise (p < 0.001)', 'Number of exercise (p < 0.001)', 'Times of exercise (p < 0.01)', 'Concerns about health (p < 0.05)', 'Health condition (p < 0.001)' were significantly higher in the males. 'Type of exercise (p < 0.001)' was significantly different between males and females. Score on 'Watching TV & computer games (p < 0.01)' was significantly higher in the females. Smoking (p < 0.001) was significantly higher in the males. Type of beverages consumed (p < 0.001) was significantly different between males and females. Nutrition knowledge score (11.8 vs 12.9, p < 0.05) was significantly higher in the females. Scores on 'Iron deficiency is leading to anemia (p < 0.01)' and 'carbonated beverages, such as coke, have no calorie (p< 0.05)' were significantly higher in the females. Food habits score (56.4 vs 53.7, p < 0.01) was significantly higher in the males. Scores on 'I have three meals a day (p < 0.01)', 'I have breakfast regularly (p < 0.001)', 'I have meals on time (p < 0.001)', 'I do exercise every day (p < 0.001)', 'I don't eat junk food often (p < 0.05)', 'I don't eat sweet food often (p < 0.05)', and 'I don't eat out often (p < 0.05)' were significantly higher in the males. Conclusions: Nutritional education for college students is needed in order to improve their health and nutritional education program should be tailored to meet various needs of these students.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.223-230
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• 2020

The purpose of this study was to investigate the effect of ego-resilience, adult attachment, and interpersonal competence on academic stress in nursing students and to provide the basic data of to control academic stress. Data were collected from 287 nursing students in B and C city and analyzed by t-test, ANOVA, Pearson correlation coefficient, and multiple regression using SPSS/WIN 22.0. The degree of academic stress in nursing students was 2.28±.46. There were significant differences in academic stress with respect to grade(F=16.342, p<.001), economic status(F=3.331, p=.037), number of alcohol drinking(F=3.393, p=.035), satisfaction of major(F=40.539, p<.001), college life satisfaction(F=67.304, p<.001). There was positive correlation between academic stress and adult attachment(r=.557, p<.001), negative correlation were found between academic stress and ego-resilience(r=-.379, p<.001), between academic stress and interpersonal competence(r=-.423, p<.001). The factors affecting the academic stress of the study subjects were ego-resilience(r=-.379, p<.001), adult attachment(r=.557, p<.001), with an explanatory power of 34%. Through this research requires the fellow study to determine the factors affecting academic stress of nursing students.

• Women's Health Nursing
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• v.22 no.4
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• pp.233-240
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• 2016

Purpose: The purpose of this study was to investigate factors which effect clinical nurses' exhaustion. Methods: This research was conducted targeting 140 clinical nurses. Data were collected from 18 September to 30 September 2015. Data were analyzed using the program SPSS/WIN 18.0. Descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and Stepwise multiple regression analysis were used. Results: Burnout was significantly different by age (F=7.99, p=.001), marital status (t=8.69, p=.004), department area (F=7.65, p<.001), frequency of night work in a month (F=7.65, p=<.001), and clinical career (F=3.68, p=.028). There was positive correlations between menstrual attitudes of participants and premenstrual syndrome (r=34, p<.001), menstrual attitudes and stress (r=.40, p<.001), and menstrual attitudes and burnout (r=.16, p=.031). There were positive correlations between premenstrual syndrome and stress (r=.46, p<.001), between premenstrual syndrome and burnout (r=.35, p<.001), and between stress and burnout (r=.36, p<.001). Factors influencing burnout were premenstrual syndrome (${\beta}=.335$) and age (${\beta}=.216$), with an explanatory power of 18.0%. Conclusion: There is a need to develop and apply program for reducing clinical nurses' pre-menstrual syndrome. In addition, policies are needed to allow for menstruation leave, thereby making it legal.

• Journal of the Korean Society of Food Culture
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• v.20 no.2
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• pp.131-143
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• 2005

This study is performed to examine the meal management attitudes of housewives who had elementary schoolchildren in the remote rural areas(RA: n = 318, $37.2{\pm}0.3$ years of age) in comparison to those in their vicinity urban area(UA: n = 349, $36.9{\pm}0.2$ years of age) in the Chungnam province in Korea. The subjects were asked to fill out the questionnaire on their attitudes of meal management for their families. The results obtained in this study were as followings: (1) Most husbands of the subjects had a farming job in the RA while they had salaried workers in the UA(p<0.001). Education levels of both subjects and their husbands were lower in the RA than in the UA. Nuclear families were dominated by both groups, however single parent-family and step parent-family were more prevalent in the RA than in the UA. (2) in terms of ways of getting foods such as grains, meats, eggs, vegetables and fruits, the RA housewives relied more often on self-production than did the UA housewives(p<0.001). (3) The frequency of purchasing unprocessed foods was lower in the RA than in the UA(p<0.001). The RA housewives purchased the convenient foods such as instant noodles(p<0.05), ready to eatsoups(p<0.001), retort pouch foods(p<0.05) and instant teas(p<0.05) more frequently than did the UA housewives, while tuna, canned in oil(p<0.01), milk and their products(p<0.001), soybean products(p<0.001) and snacks(p<0.01) were purchased less often by the RA housewives. (4) Family members except housewives engaged more often in meal preparation in the RA than did those in the UA(p<0.001), which was more strongly observed for dinner. The time spent in preparing the dinner was shorter in the RA than in the UA(p<0.001). (5) The degrees of endeavor to provide the subjects' offspring with balanced meal(p<0.001) and nutrition education(p<0.01) were lower in the RA than in the UA. The RA housewives had more difficulty for performing meal management because of 'over work-related fatigue', 'insufficient money to purchase foods' and 'far distance from grocery' than the UA housewives(p<0.001). The RA housewives had lower score on nutritional knowledge(p<0.001) and wanted more strongly nutritional knowledge to improve the quality of family's meal than did the UA housewives(p<0.01). Therefore, the RA housewives had various problems regarding meal management such as 'over work related to fatigue', 'food-purchasing inconvenience', 'low economic status of family' and 'lack of nutritional knowledge'. As a consequence the RA housewives relied on cheap convenient foods more often in order to prepare the meal easily than did the UA housewives. These findings emphasize the need in the RA for nutrition education for housewives and a range of nutrition policies that focus upon the social and economic determinants of food choice within families to improve the nutritional status of the RA residents.

• Journal of the Korean Society of School Health
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• v.35 no.1
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• pp.11-21
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• 2022

Purpose: This study investigated the relationship between satisfaction with fundamental nursing skills practicum, confidence in fundamental nursing skills performance and learning flow, and examined factors influencing satisfaction with practicum programs of fundamental nursing skills in face-to-face and online classes for nursing students amid COVID-19. Methods: The subjects of the study were 229 junior nursing students from two colleges of nursing located in D and C city, respectively. The collected data were analyzed with descriptive statistics, independent t-test, ANOVA, Kruskal-Wallis test, Pearson's correlation and hierarchical multiple regression, using SPSS/WINdows 23.0. Results: The subjects' satisfaction with practicum showed a high positive correlation with confidence in performance (r=.55, p<.001) and learning flow (r=.70, p<.001) in face-to-face classes, and their satisfaction with practicum showed a high positive correlation with confidence in performance (r=.56, p<.001) and learning flow (r=.73, p<.001) in online classes. The factors affecting the subjects' satisfaction with practicum were learning flow (β=.51, p<.001) and confidence in performance (β=.30, p<.001) for face-to-face classes, and motivation for application (β=.14, p=.034), learning flow (β=.58 p<.001) and confidence in performance (β=.19, p=.015) for online classes. These factors explained 53% and 60% of the satisfaction with practicum in face-to-face classes (F=23.07, p<.001) and online classes (F=20.66, p<.001), respectively. Conclusion: Learning flow and confidence in performance should be considered when developing learning strategy programs to improve nursing students' satisfaction with fundamental nursing skills practicum in both face-to-face and online classes.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.435-442
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• 2023

This study is a descriptive survey study to confirm the degree of depression, self-efficacy, life stress and smartphone addiction of nursing college students, and to identify their correlations and influencing factors. The study subjects had 15.85 points of depression, 3.19 points of self-efficacy, 2.47 points of life stress, and 39.23 points of smartphone addiction. As a result of analyzing smartphone addiction according to the general characteristics of the subjects, there was no statistically significant difference in grade and major, and there were significant differences in gender(t=-2.540, p=.014), grade(F=3.080, p=.029), smartphone importance(F=16.192, P<0.001), smartphone usage time (F=6.938, P<0.001). The subject's smartphone addiction showed a positive correlation with depression (r=.351, p<0.01), life stress (r=.321, p<.001), and self-efficacy (r=-.383, p<.001) showed a negative correlation. A negative correlation was found between depression and self-efficacy (r=-.529, p<.001), and a positive correlation was found between life stress (r=.568, p<.001). A negative correlation was found between self-efficacy and college life stress (r=-.434, p<.001). Self-efficacy appeared to be an influential factor in the subject's smartphone addiction. The goal is to provide basic data for programs and education to improve college students' self-efficacy.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.265-277
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• 2020

The purpose of the study was to investigate the effect of emotional intelligence and career preparation behavior on self-directed learning ability in high school girls. Data were collected by self-reporting questionnaires from 231 high school girls in May, 2019. Collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and multiple regression using SPSS/WIN 23.0 program. The result showed that self-directed learning ability was positively correlated with emotional intelligence(r=.560, p<.001) and career preparation behavior(r=.232, p<.001). Enter multiple regression revealed emotional intelligence(β=.515, p<.001), grade 'average'(β=.376, p<.001), grade 'good'(β=.274, p<.001) and career preparation behavior(β=.128, p<.05) to be significant predictors of self-directed learning ability. These variables accounted for 44.0% of self-directed learning ability. The result of this study suggest that emotional intelligence and career preparation behavior be considered when developing strategies to increase self-directed learning ability in high school girls.