• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.248-256
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• 2017

This study was conducted to investigate the effects of life stress, depression, and smart-phone addiction on quality of life as well as to verify the variables related to quality of life and the factors contributing to quality of life among undergraduate students. The data were collected from 194 subjects at K university in G city using a self-administered questionnaire. T-test, one-way ANOVA, Pearson's correlation coefficients, and multiple regression were used to analyze the data. As a result, mean scores of life stress, depression, smart-phone addiction, and quality of life were $62{\pm}.33$, $24{\pm}.3$, $2.59{\pm}.63$, and $3.48{\pm}.54$, respectively. There was a negative correlation between life stress, depression, smart-phone addiction, and quality of life. The factors influencing quality of life were life stress, depression, and smart-phone addiction. Based on these findings, it is necessary to improve quality of life and multidisciplinary interventions in order to reduce life stress, depression, and smart-phone addiction in undergraduate students. These findings contribute to the development of a program to improve quality of life among undergraduate students.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.478-486
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• 2020

The purpose of this study was to find out the actual status of smartphone students' dependence on college students, and to identify the correlation between depression, self-efficacy and smartphone overdependence, and the role of self-efficacy in the relationship between depression and smartphone overdependencee. The main results of the survey and analysis of 1,177 four-year college students located in Gyeonggi area are as follows. First, the percentage of college students' smartphone overdependence was very high at 34.1%. Second, there was a significant difference in prevalence of depression between the smartphone overdependence group(18.7%) and the general user group(11%). Third, self-efficacy showed a negative correlation with smartphone overdependence. The smartphone overdependence group showed significantly lower score in self-efficacy and self-regulation efficacy, confidence, and task difficulty preference than the general user group. Fourth, self-efficacy worked as a mediating variable in the relationship between depression and smartphone overdependence. In other words, the effect of depression on smartphone overdependence tended to decrease as self-efficacy rose in the relationship. Finally, we discussed the development of programs to support career and psychological counseling of university students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2996-3006
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• 2014

The purpose of this study was to estimate self-esteem, social support and depressive symptoms among college students, as well as to reveal its related factors. The self-administered questionnaire was filled out by 471 students from university located in Daejon city and Chungnam during two weeks from April 23, 2013. As a results, lower the self-esteem is, the depression level comes out to be higher. Also weaker social support is the factor to give rise to depression. Self-esteem and social support showed negative correlation with depression. Social support showed positive correlation with self-esteem. According to hierarchical multiple regression analysis, following factors influence depression level with explanatory powers of 23.8%: sex, age, stress for body shape, perceived economical status, studying time, self-esteem, and social support. In the conclusion, this result imply that depression level of college students is closely related to self-esteem and social support. Especially, social support showed higher correlation with depression.

• Korean Journal of Health Education and Promotion
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• v.30 no.2
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• pp.83-92
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• 2013

Objectives: The purpose of this study was to investigate factors affecting the drinking behavior in high school students. Methods: There were 620 subjects who were first and second graders of seven high schools in Daegu. This study used Sinhaengwoo (1998)'s drinking behavior scale, Rowlison and Felner (1988)'s stress scale, Kovacs (1981)'s children's depression inventory, Rosenberg (1965)'s self-esteem scale. The data were analyzed by descriptive statistics, Pearson's correlation coefficient, and stepwise multiple regression using SPSS/win 18.0 program. This study was approved by the Institutional Review Boards (IRB) of the Keimyung university hospital(No. 12-112). Results: The mean score for drinking behavior in high school students was 23.1points. Factors influencing drinking behavior in high school students were identified as self-esteem(t=-3.67, p<.001), stress(t=6.79, p<.001), school types(t=4.02, p<.001), sex(t=-3.67, p<.001). These factors explained 27% of drinking behavior reported by high school students. Conclusion: The results indicate which factors are majors influencing drinking behavior in high school students. Therefore, self-esteem enhancement could be considered as an effective strategy to reduce the drinking behavior in high school students.

• Psychiatry investigation
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• v.15 no.11
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• pp.1037-1045
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• 2018

Objective The present study aimed to identify risk factors for future SI and to predict individual-level risk for future or persistent SI among college students. Methods Mental health check-up data collected over 3 years were retrospectively analyzed. Students were categorized as suicidal ideators and non-ideators at baseline. Logistic regression analyses were performed separately for each group, and the predicted probability for each student was calculated. Results Students likely to exhibit future SI had higher levels of mental health problems, including depression and anxiety, and significant risk factors for future SI included depression, current SI, social phobia, alcohol problems, being female, low self-esteem, and number of close relationships and concerns. Logistic regression models that included current suicide ideators revealed acceptable area under the curve (AUC) values (0.7-0.8) in both the receiver operating characteristic (ROC) and precision recall (PR) curves for predicting future SI. Predictive models with current suicide non-ideators revealed an acceptable level of AUCs only for ROC curves. Conclusion Several factors such as low self-esteem and a focus on short-term rather than long-term outcomes may enhance the prediction of future SI. Because a certain range of SI clearly necessitates clinical attention, further studies differentiating significant from other types of SI are necessary.

• Journal of Korea Entertainment Industry Association
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• v.13 no.6
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• pp.235-245
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• 2019

The purpose of this study is to investigate the moderating effects of subjective well - being on the perceived parenting and depression symptoms of college students. The subjects of this study consisted of 413 college students in Seoul and Gyeonggi-do district participate in the study. Measurement tools used in this study were measures of Parentification Experience, depressive symptoms, subjective well-being. The frequency and percentage were calculated using the SPSS 21.0 statistical program, and the internal consistency coefficient (Cronbach α) was calculated. Correlation analysis and hierarchical multiple regression analysis were conducted to verify this study problem. The results showed that subjective well-being was a moderator of parenting and depression. Total experience of parenting, physical parenting, unfair, emotional parenting have been shown to have an adjustment effect in relation to depression.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.267-274
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• 2021

Medical care practices include gathering a wide range of student data that are with manic episodes and depression which would assist the specialist with diagnosing a health condition of the students correctly. In this way, the instructors of the specific students will also identify those students and take care of them well. The data which we collected from the students could be straightforward indications seen by them. The artificial intelligence has been utilized with Naive Baye's classification, Random forest classification algorithm, SVM algorithm to characterize the datasets which we gathered to check whether the student is influenced by Bipolar illness or not. Performance analysis of the disease data for the algorithms used is calculated and compared. Also, a sequential deep learning model is builded using Keras. The consequences of the simulations show the efficacy of the grouping techniques on a dataset, just as the nature and complexity of the dataset utilized.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.547-557
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• 2020

This study examined the level of depression according to the characteristics of school and family life of female high school students. In particular, this study attempted to identify the relationship between academic stress and the depression levels. The survey conducted a self-administered questionnaire from 438 students at D city in August, 2019. As a result, the distribution of the depression levels among the study subjects was 78.8 % for 「normal」 and 21.2 % for 「depression」, and the distribution of depression was significantly higher in groups with higher academic stress. The academic stress and depression levels showed significant positive correlations. In logistic regression analysis, the risk ratio of 「depression」was significantly higher in groups with higher academic stress than in groups with lower academic stress. According to multiple regression analysis, the factors affecting the level of depression were chosen as significant variables, such as academic achievement, relationship with school fellow, satisfaction with school life, test stress, study stress, and career stress. The above findings suggest that the level of depression in female high school students was related to academic stress and many other variables of school and family life characteristics.

• Journal of Convergence for Information Technology
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• v.10 no.7
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• pp.185-193
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• 2020

This purpose of this study was to investigate the effects of 16-week long-term walking exercise on the feeling, mood state, and life stress of college students. Participations in this study were 50 college students, and 24 Walking Group and 26 Control Group were random sampled to experiment the psychological effect of exercise walking. The experimental design was designed by factorial design by 2×3 repeated measurements. Data collection was conducted for 0week, 8week, 16week of feeling, mood state and life stress of college students. As a result, WG showed a positive increase in feeling status compared to CG. Negative mood state such as tension, anger, depression, fatigue, and confusion have been greatly reduced, vigor has increased, and stress on college student life such as friends, study, economy, future, and values has decreased statistically. The results of this study can be used as a way of coping with the stress of college students to improve their study motivation and quality of life.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.208-217
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• 2018

This study was designed to examine the influence of academic stress, anxiety, interpersonal dependency, and hopelessness on female high school students and their level of depression. The study subjects were 684 students attending an all-female high school in C city. Data were collected by self-administered questionnaires between November 1st, 2016 and December 31st, 2016. The data were analyzed using the SPSSWIN(ver. 21.0) program. The mean values of the level of depression were analyzed by the t-test and ANOVA. The correlation coefficientswereobtained by Pearson correlation analysis and acovariance structure analysis was performed on the factors affecting the level of depression. It was found that the level of depression among all of the subjects was significantly higher within the group with a higher level of academic stress, anxiety, interpersonal dependency, and hopelessness. Thus, the level of depression was positively correlated with the levels of academic stress, anxiety, interpersonal dependency, and hopelessness. The factor that had the most influence on depression was the anxiety factor, followed by interpersonal dependency and academic stress. This result suggests that the level of depression in female high school students has a causal relationship with academic stress, anxiety, interpersonal behavioral characteristics, and hopelessness. Therefore, the most effective strategy to reduce the level of depression among female high school students would appear to be efforts to decrease their academic stress, anxiety, and interpersonal dependency.