• Korean Journal of Community Nutrition
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• v.8 no.5
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• pp.781-793
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• 2003

This study was performed to investigate the stress level and health-related behaviors of nurses and to provide basic information for developing educational programs in the health care field. The subjects of this study were 197 nurses and 94 nursing assistants working at hospitals in the Kyung-nam area. A survey was conducted using a self-administered questionnaire in November, 2002. The results were as follows : The average age and work experience of the subjects were 26.9 and 5.6 years, respectively. The number of respondents in the shift and non-shift operations was equally distributed. The mean height and weight were 161.2 cm and 52.7 kg, respectively. Even though the average body mass index (BMI) and obesity index were normal in the subjects, 9.2% of the subjects were overweight/obese, while 28.9% of the subjects were under weight, according to the obesity index. The mean score of stress was 27.5 \pm$\pm$ 4.6 out of 50 points. Most of the subjects were highly stressed about the amount of their work, problems regarding their future, and relationships with their superiors. With regard to changes in food intake due to stress, 44.1% showed an increased intake, while 32.3% showed a reduced intake. The degree of health consciousness of the married nurses, those over 36 years of age, and those with over 10 years of nursing experience was significantly higher than that of the unmarried nurses, those under 35 years of age, and those with under 10 years of nursing experience (p<0.01). Fifty-one point three percent of the subjects thought their health status was unhealthy. Fifty-seven percent of the subjects had tried weight control. Their main reason for trying weight control was to have a slender figure (62.3%), and their methods of weight control were moderation in intake(45.6%), exercise and dieting (36.9%). TV/radio (49.5%) and newspaper/magazines (47.1%) were the primary sources of nutritional and health information for the subjects, and professional (25.1%) and the internet (13.4%) were ranked relatively highly. The food components of most concern to the subjects during meal time were (in order of importance) fats (51.9%), calories (40.2%) and salt (35.1%). The subjects considered 'taking a rest' (73.5%) as the most important factor in maintaining an optimal health status, followed by self-relaxation (56.4%), moderation in diet (39.5), bathing or using a sauna (25.7%) and exercising (22.7%).

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.695-709
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• 2022

This study examined the mothers' stress level as it related to meal preparation and a change in food consumption during the Covid-19 pandemic. I asked mothers about the difficulties related to meal preparation, changes in food consumption, and their interest in food and health information using in-depth research methods. As a result, food delivery and online food consumption have markedly expanded as eating out has decreased. Mothers tried to serve fresh food at home because they perceived delivery food as unhealthy. They stick to it more vigorously with their younger children. As the result of analysis on determinants of food consumption, their interest in organic food is higher when mothers' ages are younger with higher income. However, mothers with a low level of education tend to be uninterested in it. Therefore, the ages of the children and mothers, household income, and education levels all had an effect on food consumption behaviors.

• Korean Journal of Culture and Social Issue
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• v.12 no.5_spc
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• pp.45-79
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• 2006

The purpose of this paper was to review the results of the subjective well-being(swb) studies performed by Hahn and coworkers in Korean culture. As the correlates of swb, we dealt with demographic/individual difference variables, intrapersonal variables, interpersonal process variables, and Korean cultural variables. We proposed that the components of swb were consisted of quality of life(cognitive swb) and overall happy feelings about one's own life(emotional swb). It was also assumed that a measure of total swb could be calculated by summated mean of cognitive swb and emotional swb measures. The data of the swb studies were analyzed and interpreted according to the above three measures of swb. The results of a nationwide survey(Hahn, 2004) from age of 19 to 75 years ald(n=2,230) showed significant simple correlation coefficients between the following demographic/individual difference variables and swb: Gender difference in swb was found(total swb r=.08, p<.001; life satisfaction r=.10, p<.001; overall emotional swb r=.05, p<.05). Men were happier than women in terms of all three measures of swb. It was also found that women appeared to experience greater positive and negative emotions. Correlation between age and emotional swb(r=.09, p<.001) was significant, but life satisfaction was not significant(r=.04, n.s). Correlations between economic status and swb were also significant(total swb r =.23, p<.001; life satisfaction r=.15 p<.001; overall emotional swb r=.15, p<.001l). Although existence of father was negatively related to emotional swb(r=-.05, p<.05), the existence of mother was not related to any of swb measures. Similarly existence of brothers was related positively to overall emotional swb, but existence of sisters was not. Though existence of son was not related to swb, daughter contributed negatively to swb(total swb -.12, p<.01; life satisfaction -.09, p<.05; emotional swb r=-.12, p<.01). We assumed that family member-in-Iaw also contributed to swb because the extended dose social networks were important in Korean culture. The results showed that the following family member-in-law variables were related to swb: Parents-in-law(total swb r=.11, p<.01; life satisfaction r=.10, p<.01; emotional swb r=.10, p<.01), father-in-law(total swb r=.11, p<.01; life satisfaction r=.11, p<.01; emotional swb r=.06, n.s). The result suggested that especially father-in-law contributed to swb through financial and social support. Correlations between emotional experiences in everyday life and swb were also presented. The range of correlation coefficients between the positive emotion measures and swb were r=.30~.48(p<.001) when the above two measures obtained at same time. But the range decreased to r=.19~32(p<.001) when the swb measure was obtained 9 month later longitudinally. Intercorrelations between positive emotional experience; and life satisfaction were r=.37~58(p<.001) when two measures were obtained at same time. We also examined the effects of the intrapersonal cognitive responses to the most stressful life event upon swb. The results of nationwide survey(n=1,021) showed that self-disclosure(total swb r=.09, p<.010; life satisfaction r=.10, p<.01; emotional swb r=.07, p<.01), rumination(total swb r=-.17, p<.001), thought avoidance(total swb r=.12, p<.001; life satisfaction r=-.08; emotional swb r=-.12, p<.001) and suppression(total swb r=-.13, p<.001; life satisfaction r=-.08, p<.05: emotional swb r=-.13, p<.001) contributed to swb. It was also suggested that mismatch between self-guide and regulatory focus contributed negatively to emotional swb. It was also found that social comparison motives and fulfillment of the motives contributed to swb. The results of a survey research(n=363 college students) revealed that the higher the general social comparison motive, the lower the swb(total swb r=-.15, P<.01: life satisfaction r=-.17. p<.01; emotional swb r=-.10, p<.05). It was also found that satisfaction level of self-evalution motive contributed positively to swb(total swb r=-.14. p<.01: life satisfaction r=-.12, p<.05; emotional swb r=.15, p<.001). Both of self-improvement motive(r=.13, p<.05) and satisfaction level of self-improvement motive(r=.12, p<.05) contributed positively to emotional swb, respectively. The above results suggested that swb was depended upon the interaction effect of social comparison motive; and level of fulfillment of the motives. We also reported the significant multiple predictors of swb in a sample of age from 60years to 89years olds. The results of multiple regression analysis showed that the significant multiple predictors of swb were past illness(β=.174, p<.001), economic status(β=.418, p<.001), marital satisfaction(β=.0841, p<.001), satisfaction of offsprins(β=.065, p<.01), expectation level of social support from offsprings(β=-.049, p<.001), and negative emotions(β=-.454. p<.001) among 16 social psychological factors. It was also found that swb was an important multiple predictors of physical health. This finding was replicated in a longitudinal study. Both of positive and negative emotional experiences were significant multiple predictors of physical health one year later. The results of the discriminant analysis showed both of total swb and positive emotional experiences contributed to discriminate the happy and healthy olds from unhappy and unhealthy olds. We paper also examined the effects of the nonnative social behaviors upon swb in Korean culture. The main hypotheses of the study(Hahn, 2006, in press) was that the important nonnative behaviors would influence on swb through both of the mediation processes of adjustment to social relationships and psychological stress. The survey data were collected from 2,129 adults age of 19 to 75, from 7 regional areas in Korea. The results of the study revealed that almost all of correlation coefficients between 15 normative social behaviors and the above three criteria w-ere significant. The fitness test results of the covariance structural equation model showed that all of the fitness indices were satisfactory (GFI=.974, AGFI=.909, NNFI=.922, NFI=.973, CFI=.974. RMR=.049, RMSEA=.073). The results of the analysis revealed that the following five path coeffi6ents from behaviors to social adjustment were significant; behavior tor family and family members(t=5.87, p<.001), courteous behavior(t=4.39, p<.001), faithful behavior (t=2.15. p<.05). collectivistic behavior(t=8.31, p<.001). Seven path coefficients from the normative behaviors to psychological stress were significant; behavior for family and family members (t=-4.63, p<.001), faithful behavior(t=-3.86, p<.001). suppression of emotional expression(t=3.99, p<.001), trustworthy and dependable behavior(t=-2.21, p<.05), collectivistic behavior(t=3.72, p<.001), effortful and diligent behavior(t=2.94, p<.001), husbandry and saving behavior(t=3.40, p<.001). The above results suggested that four normative behaviors among seven behaviors contributed negatively to psychological stress in current Korean society. The results abo confirmed the hypothesized paths from social adjustment (t=10.40, p<.001) to swb and from psychological stress(t=-19.74, p<.001) to swb. The important results of the study were discussed in terms of the Confucian traditions and recent social changes in Korean culture. Finally limitations of this review paper were discussed and the suggestions for the future study were also proposed.

• Korean Journal of Health Education and Promotion
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• v.25 no.5
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• pp.39-51
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• 2008

The objectives of this study were to analyze the socio-economical factors related to smoking and drinking behaviors using the Korea Welfare Panel data. The key variables were sex, age, frequency of health and medical facilities visit, subjective health level, smoking level, drinking level, depression symptoms, and low income level. Since the health variables in the Welfare Panel data were limited, the analysis was exploratory. In male population of those older than 30 years old, low income group people were more likely to smoke cigarettes than the general income population. In the result of the Chi square analysis, the smoking rate showed significantly different relationships with the different age groups, gender and income level. According to the descriptive analysis, persons with low income level were more likely to experience health risk behaviors and showed more medical service utilization. The utilization of the local public health centers was 4.6% for the Bow income level and 1% for the general level. The higher smoking rate was associated with the younger age, and the lower income. The smoking rate in the age category from 20 to 29 was 23.3% for the general level and 25% for the low income level. On the other hand, the drinking rate was even higher in the general families. The rates of non use of alcohol was 36.7% in the general families and 58.4% for the low income families. For both smoking and high risk drinking issues, demographic and sociological variables such as sex, age, education levels and income levels were analyzed, and there wer significant relationships. Health risk factors were serious for males, with age groups of 20's and 30's, lower education level, and in a low income family. In general, females were more unhealthy. The rates of smoking and drinking were higher in the low income level. Even in the health and nutrition survey results in 2005, persons in the low income class were experiencing poorer health in health level or the degree of action restriction. Since the effects of the health promotion could not be measured in a short period of time, it has not been easy to create the basis for the substantial effects. Factors related to health risks needs to be continuously studied using data from diverse field.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.46-57
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• 2017

This study examined the level of job satisfaction of rescue workers in accordance with the sociodemographic and health related characteristics, as well as job-related factors. Moreover, this study aimed to know the relationship between job satisfaction and violence experience, job stress, and burn-out. A total of 1,240 rescue workers, who works in 14 fire stations across the country, were surveyed. The survey was conducted by self-administered questionnaires during the period between March 1st and April 30, 2016. As a result, the score of job satisfaction according to the sociodemographic and health related characteristics were significantly lower in the younger-aged group, unmarried group, no-regular exercise group, and poor group of subjective sleep evaluation, unhealthy group of subjective health status than their respective counterparts. From the perspective of job-related characteristics, the job satisfaction scores were significantly lower in the groups of lower rank, lower job career, lower monthly income, hard group of physical burden of work, dissatisfaction group of sense of satisfaction in work, unfit group of the job, without group of consider quitting the job than their respective counterparts. The score of job satisfaction, in accordance with violence experience, job stress, and burn-out were significantly lower in groups with higher scores of violence experience, job stress, and burn-out. In a logistic regression analysis, the adjusted odds ratio of the low-risk job satisfaction were significantly increased in the very high group than in the low group of violence experience, in middle, high and very high group than in low group of job stress, in very high group than in low group of burn-out. The results suggest that the job satisfaction of rescue workers is significantly influenced by various factors, including socio-demographic characteristics, health-related behaviors, job-related characteristics, violence experience, job stress, and burn-out.

• Journal of agricultural medicine and community health
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• v.28 no.2
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• pp.31-48
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• 2003

Objectives: This study evaluated the status of Health-related Behavior in residents from rural areas. A self-administered questionnaire was given to 1,754 people (men; 633 persons, women; 1,121 persons) in rural areas aged over 30 years and under 80 years in Buk-myeon, Uljin-gun and Gigye-myeon, Pohang-si, Gyeongsangbuk-do in 2001 and 2002. Methods: The collected data was analyzed using a chi-square test after an age-adjusted and a chi-square trend test. The data was analyzed using a SPSS/win ver. 10.0. Results: The age-adjusted prevalence of the individual unhealthy behavior according to sex was 56.1% in men and 6.8% in women with regard to smoking; 65.4% and 21.6% with regard to drinking; 72.6% and 76.6% with regard to non-exercise on a regular basis; 23.3% and 28.2 with regard to an obese body mass index; 61.5% and 71.1% with regard to non-scaling in the dental service. The rate of alcohol and tobacco consumption increased with increasing age in both men and women (p<0.01). The age-adjusted proportion in the non-screening examination for stomach cancer according to sex was 49.3% in men and 51.4% in women; 64.0% and 70.7% in liver cancer; 88.9% and 87.5% in colon cancer; 58.3% and 59.1% in undergoing a medical health screening. Conclusions: It is essential for health educators to promote Health-related Behavior in residents in rural areas. In addition, it is expected that the health status of residents in rural areas will improve through efforts to encourage them to take more interest in a healthier lifestyle.

• Korean Journal of Health Education and Promotion
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• v.2 no.1
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• pp.31-61
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• 2000

Introduction. Despite the fact that half of premature deaths are caused by unhealthy lifestyles such as smoking tobacco, sedentary lifestyle, alcohol and drug abuse and poor nutrition, there are no theoretical models which accurately explain these health promotion related behaviors. This study tests a new model of health behavior called the Model of Health Promotion Behavior. This model draws on elements and frameworks suggested by the Health Belief Model, Social Cognitive Theory, the Theory of Planned Action and the Health Promotion Model. This model is intended as a general model of behavior but this first test of the model uses amount of exercise as the outcome behavior. Design. This study utilized a cross sectional mail-out, mail-back survey design to determine the elements within the model that best explained intentions to exercise and those that best explained amount of exercise. A follow-up questionnaire was mailed to all respondents to the first questionnaire about 10 months after the initial survey. A pretest was conducted to refine the questionnaire and a pilot study to test the protocols and assumptions used to calculate the required sample size. Sample. The sample was drawn from 2000 eligible participants at two blue collar (utility company and part of a hospital) and two white collar (bank and pharmaceutical) companies located in Southeastern Michigan. Both white collar site had employee fitness centers and all four sites offered health promotion programs. In the first survey, 982 responses were received (49.1％) after two mailings to non-respondents and one additional mailing to secure answers to missing data, with 845 usable cases for the analyzing current intentions and 918 usable cases for the explaining of amount of current exercise analysis. In the follow-up survey, questionnaires were mailed to the 982 employees who responded to the initial survey. After one follow-up mailing to non-respondents, and one mailing to secure answers to missing data, 697 (71.0％) responses were received, with 627 (63.8％) usable cases to predict intentions and 673 (68.5％) usable cases to predict amount of exercise. Measures. The questionnaire in the initial survey had 15 scales and 134 items; these scales measured each of the variables in the model. Thirteen of the scales were drawn from the literature, all had Cronbach's alpha scores above .74 and all but three had scores above .80. The questionnaire in the second mailing had only 10 items, and measured only outcome variables. Analysis. The analysis included calculation of scale scores, Cronbach's alpha, zero order correlations, and factor analysis, ordinary least square analysis, hierarchical tests of interaction terms and path analysis, and comparisons of results based on a random split of the data and splits based on gender and employer site. The power of the regression analysis was .99 at the .01 significance level for the model as a whole. Results. Self efficacy and Non-Health Benefits emerged as the most powerful predictors of Intentions to exercise, together explaining approximately 19％ of the variance in future Intentions. Intentions, and the interaction of Intentions with Barriers, with Support of Friends, and with Self Efficacy were the most consistent predictors of amount of future exercise, together explaining 38％ of the variance. With the inclusion of Prior Exercise History the model explained 52％ of the variance in amount of exercise 10 months later. There were very few differences in the variables that emerged as important predictors of intentions or exercise in the different employer sites or between males and females. Discussion. This new model is viable in predicting intentions to exercise and amount of exercise, both in absolute terms and when compared to existing models.