This study was done to examine the relationship between stress and coping methods of 86 emergency medical technicians with the 1st or 2nd grade qualifications who serve at 36 fire stations in Gwangju and Jeonnam region from Aug. 1 to Aug. 31, 2001. Data collection was done by questionnaire. The research instruments used the stress measure tool developed by Cho Hee et al.(1999) and revised and complemented by the researcher to measure firemen's stress, and health instrument revised by Suh Mi Hye et al(1993). Data were analyzed by t-test, ANOVA, and Pearson's correlation using SPSS. The results of this study were as follows : 1. The mean score of perceived stress was 3.4. The mean score of coping methods was 2.11. 2. The levels of stress according to the general characteristics of subjects were significantly different at marital status(t=7.054, p=.009) and in relation with organization(t=3.989, p=.049). 3. The relationship between levels of stress and health status was significantly correlated(r=.325, p=.000), and so the hypothesis of this research, "the less levels of stress, the better health status is." was supported. 4. The relationship between stress and health status was significantly different at crisis status(r=.393, p=.000), relation with organization(r=.348, p=.001), the characteristics of subjects(r=.387, p=.000), special knowledge and technology(r=.337, p=.001), and the roll complication as a professional(r=.343, p=.001).
Journal of Korean Academy of Fundamentals of Nursing
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v.9
no.2
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pp.311-322
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2002
Purpose: The purpose of this study was to test the physical and psychological-emotional status according to type of personality of female college student smokers and to provide baseline data for smoking cessation education programs for women. Method: The data were collected from May to June. 2002. The subjects were 119 female students who smoked. The data were analyzed using SPSS/PC. Results : The results are as follows 1. There were 91 (76.5%) A type and 28 (23.5%) B Type personality types, indicating that female student smokers were more frequently type A rather than type B. 2. Perceived health status by personality type indicated that those with type B ($27.71{\pm}4.67$) perceived higher health status than those with type A ($26.53{\pm}4.60$) but the result was not statistically significant (p = 237). 3. Perceived stress by personality type indicated that those with type B ($83.71{\pm}13.13$) perceived more stress than those with type A ($70.52{\pm}12.35$). 4. Differences between depression by personality type indicated that those with type B ($47.21{\pm}8.53$) perceived more stress than those with type A ($45.42{\pm}7.32$) but this was not statistically significant (p = .277). 5. There were significant negative correlations between perceived health status and stress (r=-0.300. p<0.004), depression and perceived health status (r=-.456. p<0.000). There was significant positive correlation between stress and depression (r= .700, p<0.000). 6. There was no significant difference between perceived health status, stress, or depression according to general characteristics. Conclusion: According to the results, researchers should continually identify women's smoking behavior included various physical and psychological variables related to women's health. In addition, programs for improving physical and psychological health should be designed and operated to decrease the perception of stress and to increase the perception of health motivation for women smokers.
Objectives: This study was conducted to identify the rates of perceived stress of elderly people over 65 years old and to confirm the influence of stress on general health and oral health status. Methods: Using data from the National Health and Nutrition Survey for 2014, 1,472 people over 65 years of age were selected as final subjects. Stress was used as an independent variable and dependent variables were included physical health (perceived health status), mental health (depression), and oral health (perceived oral health status). The following confounding variables were adjusted for the current study: demographic characteristics (gender, age, education level, house income) and health - related characteristics (drinking, smoking, exercise, frequency of tooth brushing, using oral care product, dental exam, comorbidity, restrict activity). Complex sampling analysis was applied and logistic regression was performed to determine the effects of stress on physical health, mental health and oral health status. Odds ratio (OR) and 95% confidence interval (95% Confidence Interval, 95% CI) were calculated. Results: Logistic regression indicated that stress was significantly associated with low physical health (OR=2.18, 95%CI: 1.49-3.20), low mental health (OR=8.68, 95%CI: 4.98-15.11), low oral health (OR=1.53, 95%CI: 1.06-2.21) after adjusting for confounding variables. Conclusions: The perceived stress of the elderly was found to be related to the general health and oral health status. Therefore, it is necessary to evaluate stress as a predictor of health risk for the health promotion of the elderly on multidisciplinary assessment and continuous evaluation. In addition, health support policies should be provided to achieve good health status for elderly.
The Purpose of this study was to examine the adolescents'stress and social supports and the relationships of there two factors. Specifically, this study investigated the adolescents'stress and social supports depending on their sex, family status, socio-economic status. The subjects of this study were 467 middle school students in Pusan. Questionnaires were used consisting of adolescents'perceived stress and social supports for data analysis, Cronbach's $\alpha$-coefficient, frequency distribution, percentage, Oneway-ANOVA, t-test and Pearson's γ-coefficient were used. Major findings were as follows: Adolescents'stress were significantly different depending on their sex, father's educational level, family income and family intimacy The source of the adolescents'social support sources were different depending on their sex, family status, father's educational level, mother's educational level, family income and family intimacy. Adolescents'social support types were different depending on family status, lather educational level, mother educational level, father\`s job, family income and family intimacy. There were negative correlation between stress and social supports.
Journal of The Korean Society of Integrative Medicine
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v.7
no.4
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pp.213-222
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2019
Purpose : The purpose of this study was to compare stress and psychological status between a stroke and a fracture patient's caregivers. Methods : Data was collected from September to December 2018 and participants of this study were 60 stroke and 61 fracture patient's caregivers. Stress was evaluated with the Global Assessment of Recent Stress scale-Korean Version and psychological status was measured with the Symptom check List-90-Revision. Results : The stroke patient's caregivers scored significantly higher than the fracture patient's caregivers in stress relevant to interpersonal, change in relationship, sickness or injury, financial, change/no change in routine (p<.05). The stroke patient's caregivers scored significantly higher in somatization, interpersonal sensitivity, depression, anxiety, paranoid ideation, and psychoticism than the fracture patient's caregivers (p<.05). Conclusion : It was found that the severity of mental health in the stroke patient's caregivers is necessary to develop a customized mental health improvement program for stroke patient's caregivers.
Journal of the Korea Society of Computer and Information
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v.25
no.9
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pp.109-116
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2020
In this study, we tried to identify the relationship between subjective health Status and job stress and andropause symptoms of middle-aged male who work.. The data was based on a survey of male aged 40 to 59 in four cities and collected by surveying 154 people with jobs. The general characteristics of the difference in andropause symptoms were marital status and job satisfaction. 68.83 percent of the subjects experienced andropause symptoms. There was a negative correlation between subjective health status and job stress(r=-.204, p=.011). The correlated factors of andropause symptoms included subjective health status(r=-.248, p=.002) and job stress(r=.341, p=<.001). Factors influencing andropause symptoms are job stress, subjective health status. There is a need to develop and apply nursing intervention programs that can reduce job stress and improve subjective health status in order to effectively manage menopause symptoms of middle-aged male who work.
This study explored differences in how medical and surgical patients compare on the degree of hospital stress and their subjective physical status. Subjects were 343 medical and surgical patients in five university hospitals in Seoul and Taegu. They responded to the Hospital Stress Rating Scale and a self-report on physical status. The controlled variables were age, education, number of previous hospitalizations and seriousness of the illness. Medical and surgical patient differences on nine factors of the hospital stres scale and nine areas of physical conditions were reported as follows edplored : 1. 1) There was not a statistically significant difference at the .05 level in the total mean score for hospital stress between medical patients and surgical patients. 2) The mean score of the factor lack of information (M=2.308) for medical patients was higher than the mean score (M=2.064) of the surgical patients. 3) The mean scores of the factor of discomfort (M=2.130), loss of independence (M=1.889) for surgical patients were higher than for medical patients. 2. 1) There was a statistically significant difference at the .05 level in the total mean score for physical status between medical patients and surgical patients. 2) The mean scores were lower in subjective physical status for surgical patients(S) than for medical patients (M) ; stomach condition (S : M=2.8433, M : M=3.0-000), self-assistance(S : M=3.0373, M : M=3.4498), movement (S : M=2.6716, M : M=3.2392), interest in your surroundings (S : M=3.0522, M : M=3.2632). 3. Patients scoring high on the subjective physical status such as sleep, appetite, stomach condition bowel condition and urination states had higher scores in hospital stress than with patients scoring low on those subjective Physical status. The results suggest that subjective physical status might be on expression of hospital stress. Also patients with high scores in subjective physical statas might be predicted have a high level of stress on admission. And surgical patients had a higher level of hospital stress than medical patients.
Recently, identification of the extremely stressed condition of children is an essential skill for real-time recognition of a dangerous situation because incidents of children have been dramatically increased. In this paper, therefore, we present a model based on machine learning techniques for stress status identification of a child by using bio-signals such as voice and heart rate that are major factors for presenting a child's emotion. In addition, a smart band for collecting such bio-signals and a mobile application for monitoring child's stress status are also suggested. Specifically, the proposed method utilizes stress patterns of children that are obtained in advance for the purpose of training stress status identification model. Then, the model is used to predict the current stress status for a child and is designed based on conventional machine learning algorithms. The experiment results conducted by using a real-world dataset showed that the possibility of automated detection of a child's stress status with a satisfactory level of accuracy. Furthermore, the research results are expected to be used for preventing child's dangerous situations.
Objective : To investigate the sources, extent and related factors in South Korean doctors. Methods : The study subjects were 934 doctors in Taegu, Kyungpook Province, Korea(540 independent practitioners, 105 employed at hospitals and 289 residents in training). Information concerning job stress was obtained using a 9-item questionnaire. Information regarding related factors such as demographic characteristics(age, sex, marital status), perceptions on the socioeconomic status of doctors and working conditions(work time, on-call days per week) was also obtained by self-administered questionnaire during April and May, 2000. Results : Major sources of job stress included clnical responsibility/judgement factor, patient factor and work loading factor. The job stress score of residents was the highest among three groups. The score was lower in older doctors. The score was low among those who thought doctors' socioeconomic status was not good. The longer the work time, the higher the job stress score was. Multiple regression analysis was conducted to control for the mutual influence of independent variables. In regression analysis, the score of residents was higher than practitioners. Work time and socioeconomic status perception had negative effects on job stress score. Conclusion : The average job stress score of the doctors was high. Age, work type, working conditions and perceptions of socioeconomic status were found to besignificantly related to job stress score. Although the job stress of doctors is somewhat inevitable due to the nature of the doctor's job, control of work time, development of coping tools and other intervention methods are needed to reduce job stress of doctors. Further studies are required to understand the characteristics of iob stress and reduce the job stress of doctors.
Purpose: The purpose of this study was to examine the relationship between sleep quality and stress among nursing students. Methods: A cross-sectional study was conducted with 94 nursing students from a University in Seoul. Participants completed questionnaires and the data were analyzed using t-test, ANOVA, and Pearson correlation coefficients. Results: The mean score of sleep quality was $6.93{\pm}2.66$ among nursing students and 81.9% had a sleep problem. The mean score of stress was $18.61{\pm}4.84$. Sleep quality was significantly different by clinical practice days per week, subjective physical health status, and subjective mental health status. Stress levels were significantly different by subjective physical health status, subjective mental health status, social relationship satisfaction, and satisfaction levels of nursing major and university. A significant relationship between sleep quality and stress (r= .45, p< .001) was found, meaning that a lower quality of sleep was significantly correlated with higher stress level. Conclusion: The results indicated that most nursing students had sleep problems and stress. Therefore, interventions are needed to be developed to lower the level of stress and increase the quality of sleep among nursing students.
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