• Korean Journal of Occupational Health Nursing
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• v.26 no.3
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• pp.184-196
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• 2017

Purpose: We investigated the effects of emotional labor and workplace violence on various physical and mental health outcomes among female workers. Methods: We obtained data from 24,760 female workers who participated in the 4th Korean Working Conditions Survey (2014). Hierarchical logistic regression analysis was used to analyze the relationships. Results: Female emotional workers were more exposed to workplace violence than were female non-emotional workers. Verbal abuse was the most common type of workplace violence. Logistic regression analyses revealed that (1) emotional labor was significantly associated with higher odds of having musculoskeletal or abdominal pain (physical health outcomes), along with overall fatigue (a mental health outcome), and (2) workplace violence experiences were significantly associated with higher odds of musculoskeletal pain, headache/eye strain, abdominal pain, depression/anxiety disorder, overall fatigue, and insomnia/sleep disturbance, after controlling for covariates. Conclusion: This study demonstrated that both emotional labor and workplace violence have negative effects on physical and mental health. However, workplace violence experience has a stronger negative impact on health outcomes than does emotional labor alone. A management system to eradicate workplace violence and programs aimed at managing emotional labor are urgently needed at the organizational level.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.515-524
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• 2019

The purpose of this study was to investigate the influences of adolescents on self-rated health and happiness, physical activity, and mental health according to time of smartphone use. The researcher used raw data from the Korea youth risk-behavior web-based survey(2017). A total of 64,991 adolescents were enrolled and 54,603 were analyzed in logistic regression analysis. The researcher set gender, self-rated health and happiness, physical activity, and mental health as independent variables and performed logistic regression analysis with smartphone overuse time as dependent variables. As a result, the female had a smartphone overuse of 1.49 to 1.67 times higher than male. Subjectively healthy people were 1.2 to 1.35 times more likely to use smartphones than those who did not(p<.001). People with higher physical activity were higher by 1.17 to 1.18 times than people without physical activity(p<.001). Subjective happiness did not predict smartphone usage(p>.05). People with subjective stress were higher 1.13 to 1.22 times than people without stress, and person with sadness and despair and suicide plan, 1.37 to 1.54 times, 1.17 to 1.24 times than those who did not(p<.001). Depression tended to become more serious as smartphone use increased. These investigation suggest that the self-rated health, physical activity, and mental health excluding self-rated happiness are related to overuse of smartphone.

• Safety and Health at Work
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• v.14 no.1
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• pp.93-99
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• 2023

Background: Effort-reward imbalance (ERI) and overcommitment at work have been associated poorer mental health. However, nonlinear and nonadditive effects have not been investigated previously. Methods: The association between effort, reward, and overcommitment with odds of poorer mental health was examined among a sample of 68 formal United States waste workers (87% male). Traditional, logistic regression and Bayesian Kernel machine regression (BKMR) modeling was conducted. Models controlled for age, education level, race, gender, union status, and physical health status. Results: The traditional, logistic regression found only overcommitment was significantly associated with poorer mental health (IQR increase: OR = 6.7; 95% CI: 1.7 to 25.5) when controlling for effort and reward (or ERI alone). Results from the BKMR showed that a simultaneous IQR increase in higher effort, lower reward, and higher overcommitment was associated with 6.6 (95% CI: 1.7 to 33.4) times significantly higher odds of poorer mental health. An IQR increase in overcommitment was associated with 5.6 (95% CI: 1.6 to 24.9) times significantly higher odds of poorer mental health when controlling for effort and reward. Higher effort and lower reward at work may not always be associated with poorer mental health but rather they may have an inverse, U-shaped relationship with mental health. No interaction between effort, reward, or overcommitment was observed. Conclusion: When taking into the consideration the relationship between effort, reward, and overcommitment, overcommitment may be most indicative of poorer mental health. Organizations should assess their workers' perceptions of overcommitment to target potential areas of improvement to enhance mental health outcomes.

• Journal of Korea Entertainment Industry Association
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• v.14 no.2
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• pp.119-129
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• 2020

Intellectual disability affects all spheres of the lives of people can be who suffer from it. Unfortunately, modern medicine cannot cure intellectual disability. However, the quality of life improved by means of physical exercise. In this study, we compared the health-related physical fitness, metabolic syndrome index and mental health between a game biking group(5 participants) and a brisk walking group(4 participants). This study used a between-subject design and verified by non-parametric test. The participants performed an exercise program with warm up and resistance training for 12 weeks. A game bike was used for the physically impaired, where the individual looked at a screen and pedaled. The fasters he pedaled the faster the object on the screen movies. We measured health-related physical fitness, metabolic syndrome index and mental health. We also measured their perceived exertion and interest during the exercise by a visual analog scale. The results before and after the exercise program showed that health-related physical fitness, metabolic risk factors, mental health level were improved in both groups. As we hypothesized before the study, the game biking group showed a statistically significantly different level on the Rating of Perceived Exertion than the brisk walking group and a higher level on the Rating of Exercise Interest during the exercise program. Our results lead to a conclusion that an exercise program with the use of a game bike improve motivation for exercise participation in intellectually handicapped participants.

• Korean Journal of Psychosomatic Medicine
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• v.10 no.1
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• pp.48-54
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• 2002

Objectives : Aims of the study were to investigate the physical and mental symptom profiles related with perceived life stress in normal populations. Methods: The study subjects were 186 subjects who visited the Health Promotion Center at National Health Insurance Corporation Ilsan Hospital between July and December, 2000. We measured Life Stress Assessment Scale (LSAS), SCL-90-R (Symptom Check List-90 Revised), and Physical Health Check Questionnaires to evaluate perceived life stress for one year, and physical and mental symptoms. The physical markers related with stress were also measured. According to LSAS scores, we selected two groups from all subjects : Group I (LSAS score with lower 25 percentile) and Group II (LSAS score with higher 75 percentile). Each number of subjects was 46 in Group I and 47 in Group II. We analyzed stasistical significances of study variables between Group I and II. Results : Group II subjects showed higher scores in all subscales of SCL-90-R compared to Group I subjects. Comparing to Group I, Group II subjects complained more physiological symptoms related with anxiety and depression. But there were no statistical differences in the physical markers related stress between two groups. Conclusion: We found that past year-life stress caused various mental and physical symptoms, which didn't develop any physical illness related life stress in normal populations yet.

• Korean Journal of Adult Nursing
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• v.25 no.1
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• pp.13-23
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• 2013

Purpose: The purpose of this study was to investigate the factors that influence health-related quality of life in patients with atrial fibrillation. Methods: The subjects were 150 outpatients with atrial fibrillation who visited the cardiology clinic of a university hospital in U city. The instruments used for this study were Mhel Uncertainty in Illness Scale (MUIS), Center for Epidemiologic Studies-Depression Scale (CES-D), State Trait Anxiety Inventory (STAI), and the Short-Form-36 Health Survey (SF-36) Korean version II. The date were analyzed by ANOVA, Pearson-correlation coefficient, and hierachial multiple regression using SPSS/WIN 18.0. Results: The mean score of physical health-related quality of life (PCS) was $38.92{\pm}6.22$ and mental health-related quality of life (MCS) was $41.49{\pm}5.71$. Physical and Mental health-related quality of life had the significant correlations with uncertainty, anxiety and depression. In multiple regression analysis, physical health-related quality of life was significantly influenced by duration of disease, NYHA class, uncertainty. Mental health-related quality of life was significantly influenced by family income, NYHA class, anxiety and depression. Conclusion: These results suggest that these influencing factors should be consider in developing the nursing interventions to improve the healthrelated quality of life in patients with atrial fibrillation.

• Journal of Korean Public Health Nursing
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• v.17 no.1
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• pp.132-143
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• 2003

The purpose of this study was to verify the effects of psychodrama group counselling, and to determine its applicability as a nursing intervention for the promotion of mental health of clients in their developmental stages. Methodological triangulation was used for research design. For quantitative study, quasi experimental study design with nonequivalent control group was used to test the effects of psychodrama group counselling. For each experimental and control group convenient samples of 15 nursing students were selected, and observed from May to Nov. 2000. For experimental group, the treatment was given for 2 hours each week, totaling 20 hours. The questionnaire consisted of 24 items of physical symptoms from CMI. 40 items of Spielberger Anxiety Scale, and 21 items of Beck Depression Scale. Reflective journal was written by the experimental group. The data were analyzed using chi-square and Mann-Whitney U test. For the qualitative study, the contents of the reflective journal were analyzed into categories and classifications. The results of the study were as follows; 1. There was a significant difference on physical health status between the experimental and the control group 2. There was a significant difference between two groups on the mean scores of mental health before and after psychodrama group counselling. 3. The qualitative analysis of reflective journal resulted in 4 categories and 13 classifications, which was reflected by the experience of the psychodrama group counselling. The four categories were self introspection, psychological support, improvement of interpersonal relationship and self development. The thirteen classifications are self-discovery, discovering others, emotional catharsis, positive thinking, formation of consensus, comforting, being free, being comfortable, understanding, maturing personal relationship, acquiring self-confidence, new challenges, and planning for the future. Based on the study findings, the psychodrama group counselling had promoted not only physical but also mental health of nursing students. The characteristics identified by the study suggested the applicability of psychodrama group counselling as an effective measure of nursing intervention for clients.

• The Journal of Korean Physical Therapy
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• v.33 no.3
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• pp.131-135
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• 2021

Purpose: The purpose of this study was to investigate the mental health of physical therapy students in clinical practice during the COVID-19 pandemic. Methods: A cross-sectional survey was conducted during the pandemic and was completed by 100 physical therapy students in two universities in Gwangju and Jeollanam-do, South Korea. The Generalized Anxiety Disorder-7 (GAD-7) scale and the Patient Health Questionnaire-9 (PHQ-9) were used to evaluate their anxiety and depression status. A Chi-square test was conducted to evaluate the association of participant characteristics with the risk of having anxiety and depression. Logistic regression models were used to identify the general characteristic factors related to anxiety or depression. Results: Anxiety was found in 28 (28%) of the participants, and depression in 24 (24%). The risk of anxiety and depression in male physical therapy students was 0.189 and 0.211 times lower, respectively, than those female students (p<0.05). The risk of anxiety and depression in physical therapy students with a history of disease was 11.721 and 7.056 times higher, respectively, than those with a history of disease (p<0.05). The risk of anxiety in physical therapy students in clinical practice was 11.721 times higher than that in students who were not in clinical practice (p<0.05). Conclusion: The COVID-19 pandemic has led to a high risk of anxiety and depression among many physical therapy students. More attention and improvements are needed so that physical therapy students can study in a safe environment.

• Research in Community and Public Health Nursing
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• v.19 no.4
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• pp.715-723
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• 2008

Purpose: The purpose of this study was to investigate the relation between perceived health status and health-promoting behaviors in female college students. Method: Data were collected from December 10 to 31. 2007. In 160 female college students, perceived health status was measured using the Medical Outcomes Short-Form Health Survey (SF-36), and health-promoting behaviors using the Health Promoting Lifestyle Profile (HPLP). Results: The major findings of this study were as follows: 1) The mean scores of the level of health promoting behaviors, physical health status, and mental health status were 2.44 (SD=0.39), 51.9 (SD=8.03), and 42.56 (SD=10.77), respectively. 2) Health-promoting behaviors were correlate with physical health status (r=-.361) and mental health status (r=.498). 3) Health-promoting behaviors were significantly associated with allowance and mental health in capability, which explained 28.9% of variance in health-promoting behaviors. Conclusion: The results suggest that it is necessary to strengthen female college students' practice of exercise and responsibility for health in order to improve their health promotion behaviors. Also, the results of this study give useful information for designing interventions and program development for female college students' appropriate health promoting life.

• Journal of the Korean Society of School Health
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• v.36 no.3
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• pp.113-125
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• 2023

Purpose: The purpose of this study is to develop a model for predicting mental health risk among adolescents based on health behavior information by employing a hybrid machine learning method. Methods: The study analyzed data of 51,850 domestic middle and high school students from 2022 Youth Health Behavior Survey conducted by the Korea Disease Control and Prevention Agency. Firstly, mental health risk levels (stress perception, suicidal thoughts, suicide attempts, suicide plans, experiences of sadness and despair, loneliness, and generalized anxiety disorder) were classified using the k-mean unsupervised learning technique. Secondly, demographic factors (family economic status, gender, age), academic performance, physical health (body mass index, moderate-intensity exercise, subjective health perception, oral health perception), daily life habits (sleep time, wake-up time, smartphone use time, difficulty recovering from fatigue), eating habits (consumption of high-caffeine drinks, sweet drinks, late-night snacks), violence victimization, and deviance (drinking, smoking experience) data were input to develop a random forest model predicting mental health risk, using logistic and XGBoosting. The model and its prediction performance were compared. Results: First, the subjects were classified into two mental health groups using k-mean unsupervised learning, with the high mental health risk group constituting 26.45% of the total sample (13,712 adolescents). This mental health risk group included most of the adolescents who had made suicide plans (95.1%) or attempted suicide (96.7%). Second, the predictive performance of the random forest model for classifying mental health risk groups significantly outperformed that of the reference model (AUC=.94). Predictors of high importance were 'difficulty recovering from daytime fatigue' and 'subjective health perception'. Conclusion: Based on an understanding of adolescent health behavior information, it is possible to predict the mental health risk levels of adolescents and make interventions in advance.