• Journal of Digital Convergence
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• v.12 no.8
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• pp.411-421
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• 2014

The purpose of this study was to evaluate the relationship between lifestyle and health status among employees in a community. The participants were 199 white collar workers in J city. Data were collected from August 7 to 24, 2012 using the self-report questionnaire. Data were analyzed by descriptive statistics, t-test, ANOVA and Pearson coefficient correlation with SPSS/Win 17.0. There was a statistically significant correlation between lifestyle and health status(r= .164, p= .020). Mental component summary of health status was a statistically significant correlated with leisure activity(r= .270, p= .000) and regular exercise(r= .180, p= .011). Therefore, this study provided support for associations between lifestyle and health status. We suggest that strategies to emphasize leisure activity and regular exercise would be important for white collar workers to improve their mental health.

• Journal of Preventive Medicine and Public Health
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• v.23 no.3 s.31
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• pp.275-284
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• 1990

To obtain the useful information for the status of working environment and health management of workers in manufacturing industries, comparision of results on the status of working environmental and health management of workers for 32 manufacturing industries in Chunan area from 1988 to 1989 was carried out. The results were as follows : 1. The rate of over-PEL (Permissible Exposure Limit) to for hazardous factors decreased significantly 23.5% in 1988, 18.3% in 1989 (p<0.05) and, the highest rate of over-PEL was the stone and sand handling industry, the highest rate of over-PEL was the dusty workplace as 38.5% in 1988, 35.2% in 1989. 2. The rate of workers exposed to hazardous factors in 1988 and in 1989 was 22.4% respectively, the rate of workers checked up special health examination was 40.1% in 1988, 75.3% in 1989. In stone and sand handling and medicochemical industries, none of workers exposed to hazardous factors was subjected to special health examination in 1988, but 75% of workers exposed to hazardous factors had checked up in 1989. 3. The 6 industries appointed as part-time factory physician among 17 industries which were supposed to have factory physician according to the Safety and Healthy Act of Korea, 6 out of 24 industries only appointed industrial hygienist, furthermore 4 out of 6 hygienists had another duty in addition to occupational hygiene itself.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.335-340
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• 2020

In this study we conducted a questionnaire survey by purposive quota sampling(n=566) by status of workers(permanent workers, temporary workers and business owners) and age group(20-59 years old) for single households engaged in economic activities in order to compare the health behaviors and health checking by employment type and age. By employment type, the sleep time of permanent workers was significantly less than that of other groups(p<0.001), and the rates of health and oral examinations in permanent workers were significantly higher(p<0.001). By age group, as the age increased, the oral condition was worse(p<0.001), but the rates of not taking oral examinations were significantly higher(p=0.023). This study can be meaningful as basic data for making a healthy living environment according to various characteristics of single households.

• Journal of Society of Preventive Korean Medicine
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• v.5 no.1
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• pp.10-30
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• 2001

Oriental medicine needs to be armed with theories on health-improvement concept under it and basic data matching its views, in order to participate in the health-improvement service in industrial work places. The Orient medicine health-improvement program defines factors that determine individuals' lifestyle, and provides information and technologies for workers to practice in life. To that end, this research compares and analyzes health-improvement concept and health care, defines relations between individuals' health state and their lifestyle as the basic data needed to perform health-improvement business for workers. 1. The subjects employed for this research is categorized into; by gender, males 52.1% and females 47.9% with no big difference between them; and by age, 20s, 6.1%, 30s. 33.9%, 40s, 34.1%, and 50s, 24.8% with 30-50 accounting for most of it. By marriage status, unmarried represents 7.1%, and married 79.1% with most of them married; by revenue, under one million won represents 3.0%, 1-2 million won 26.4%, 2-2.49 million won 11.2%, above 2.5 million won 11.2%, and 1-2.5 million won a majority. By living location, owned houses represents 65.4%, rented houses 14.7%, monthly-rented 9.5%; and by education, elementary and middle school represent 16.9%, high school and its dropouts 22.6%, and junior college and higher 51.6%, with high school and higher occupying most of the group. 2. By job, office workers and managerial workers represent 12.3%, part-timers 21.0%, manual workers 11.4%, jobless 0.6%, professionals 35.6%, service 0.6%, housewives 8.4%, and equipment/machinery operation/assemblers 10.1%. Of this, jobless and part-timers, totaling three, are dropped from this research. By years worked, 0-3.9 years represents 9.7%, 4-7.9 years 6.7%, 8-14.9 years 18.4%, above 15 years 28.7%, and no respondents 36.5%. 3. The degree of the subjects practicing life-improvement lifestyle, on a scale of 1 to 4, is an average of 2.69, personal relations 3.04, self-realization 2.92, stress management 2.76, nutritional state 2.73, responsibility for health 2.47, and athletic activities 2.18, with personal relations earning the highest points and athletic activities the lowest. As for factors influencing health-improvement lifestyle, there is no significant difference between gender, age, and marriage status. Meanwhile, there is significant difference between revenue, dwelling pattern, education level, etc. That is, higher income-bracket, owned houses, rented houses, monthly-rented houses, and higher-educated, in this order, show higher average in health-enhancement lifestyle. By job, housewives, manual workers, office workers, professionals, equipment/ machinery operation/ assemblers, and part-timers, in this order show higher points, while there is no difference with significance by years worked. 4. Factors that affect health-improvement lifestyle are shown below. Self-realization is influenced by age, marriage status, type of dwellings, and level of education; responsibility for health by type of dwellings; athletic activities by gender and age; nutrition by age, marriage status and type of dwellings; personal relations by marriage status; and stress management by type of dwellings. 5. Areas with high points by job show this: in self-realization, office workers, manual workers, housewives, professionals, equipment/ machinery operation/ assemblers, in this order, show difference with significance; in the area of responsibility for health, manual workers, housewives, equipment/ machinery operation/ assemblers, professionals, office workers and part-timers, in this order, do. In athletic activities, manual workers, housewives, office workers, professionals, equipment/ machinery operation/ assemblers, and part-timers, in this order, show difference with significance; in nutrition, housewives, office workers, manual workers, professionals, equipment/ machinery operation/ assemblers, and part-timers, in this order do; and in stress, housewives, office workers, manual workers, professionals, equipment/ machinery operation/ assemblers, part-timers, in this order do. By years worked, more years showed higher points in the area of responsibility for health and nutrition; in the area of athletic activities, above 15 years, 4-8 years, below 4 years and 8-14 years, in this order, show higher points; and no difference shows in realization, personal relation, and stress area. 6. To look at correlation between overall and divisional health-improvement practice degree, this researcher has analyzed it using Person's correlation coefficient. Self-realization, responsibility for health, athletic activities, nutrition, support for personal relations, and stress management show significant correlation with the sub-divisions, while all health-improvement lifestyle shows significant correlation with the six sub-divisions.

• The Korean Journal of Health Service Management
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• v.9 no.4
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• pp.171-182
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• 2015

Objectives : The aim of this study was to identify the effect of employment type on health-related quality of life. Methods : This study used data from the Sixth Korea National Health and Nutrition Examination Survey. Data were analyzed with the ${\chi}^2$ test, t-test, ANOVA and multiple regression. Results : There were significant statistical differences the health-related quality of life according to employment type. The health-related quality of life of temporary workers was lower than that of regular workers. The significant predictors of the health-related quality of life of regular workers were the subjective health status, stress, age, and education. The significant predictors of the health-related quality of life of temporary workers were the subjective health status, education, stress, sleeping time, and gender. Conclusions : These results suggest that employment type affects the health-related quality of life. The research on social policy is recommended to resolve health inequalities.

• Korean Journal of Health Education and Promotion
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• v.15 no.2
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• pp.1-21
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• 1998

The industrial health education is the most fundamental and active area in the industrial health. It has become increasingly recognized as an important component of preventive occupational health programs and is an essential service for improvement of productivity and employee's health. Evaluating the worker's health status is a part of the occupational health promotion policy and is very important to know the efficiency of the occupational health service. In this point, the purpose of this study was to clarify the effect of the industrial health education on worker's health status. This study included a survey of 625 workers at 28 factories in Puchon area form August Z7 to September 30, 1996. The research was carried out through the analysis of the self-administered questionnaires and health examination records. The results were as follows: 1. For demographic characteristics, 66.5% of the respondents were male. The most prevalent age group was 30 - 39years group(30.4%). Those who graduated from high school were 43.5%. The workers whose monthly income ranged from 600,000 to 100,000 won were 40.3%. As for the marital status, 69.4% of the respondents were married. 2. For occupational characteristics, 37.9% of the workers had worked 2 to 5 years in the factories, 69.4% of the respondents worked at the assembly line and the staffs were 27.0%. T26.4% of the respondents worked at hazardous workplace and 71.8% of the workers worked 9 to 10 hours a day. Those who worked during the night were 56.0%. Those who felt much for them workload were 29.9% and were dissatisfied with their working environment and job were 33.6%, 19.1%. 3. The 39.4% of the respondents received the industrial health education and most of them received on the safety and only few on family health. 70.7% out of those who had industrial health education reported it helped their health management.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.163-173
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• 2022

The purpose of this study is to explore risk factors affecting the oral health quality of life of non-medical hospital workers. As for the research method, a survey was conducted on 608 workers at hospitals in the metropolitan area from April 20 to July 30, 2021. As research tools, questions related to work loss, oral health status, and oral health quality of life were investigated. For the analysis methods, independent sample t-test, one-way ANOVA test, and hierarchical regression analysis were performed. As a result of controlling exogenous variables, gender(β=0.108), systemic disease(β=0.136), oral health level(β=0.201), and oral health status(β=0.463) were found to have an effect on the quality of life. Initiating regular oral health education for non-medical hospital workers will be of great help to promote oral health and work.

• Korean Journal of Occupational Health Nursing
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• v.21 no.1
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• pp.37-45
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• 2012

Purpose: This study was conducted to identify health promotion lifestyle (HPL), farmers' syndrome and related factors of workers in agricultural industry. Methods: A total of 454 agricultural workers were selected through convenient sampling. Data were collected from July 1 to August 10, 2009. Data analysis included frequency, t-test, ANOVA, Scheff$\acute{e}$ test, and stepwise multiple regression using SPSS/WIN 17.0. Results: 1. The mean score of HPL was 3.30 and the prevalence of farmers' syndrome was 29.3%. 2. Analysis of farmers' syndrome showed there were statistically significant differences for gender, age, sleeping time, perceived health status, breakfast and exercise. 3. Gender, age, perceived health status, breakfast and exercise were identified as variables influencing the farmers' syndrome. Conclusion: This study suggested that we should develop health promotion programs for workers of agricultural industry considering these results.

• Korean Journal of Health Education and Promotion
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• v.19 no.2
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• pp.45-55
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• 2002

This study was conducted to evaluate the degree of stress state and stress related factors in 280 male white collar workers by using Psychosocial Well-being Index. The results were as follows; 1. According to Psychosocial Well-being Index, mild stress state was 78.6 %, healthy state was 12.9 %, and high risk stress state was 8.6 %. Single marital status, low education level, low income and low frequency of exercise group had high score of stress. 2. The total stress score was highly associated with the factors of social performance and self confidence, depression, general well-being and vitality, and sleeping disturbance and anxiety in order. 3. In reliability test of stress factors, Cronbach's a coefficients of social performance and self confidence, sleeping disturbance and anxiety, depression, general well-being and vitality were 0.91, 0.91, 0.90, and 0.89 respectively. In conclusion, it suggested that marital status, income, education, and exercise were associated with stress score. All of the above factors should be considered to white collar workers health.

• Korean Journal of Occupational Health Nursing
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• v.28 no.3
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• pp.156-165
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• 2019

Purpose: The purpose of this study was to compare working condition and health status between parcel delivery workers (PDW) and food delivery workers (FDW) and to examine the factors influencing their health status. Methods: This was a secondary analysis of data collected from the fifth Korean Working Conditions Survey (KWCS). Based on existing literature, a set of variables was chosen from the KWCS. Results: The proportion of PDW who carryied/moved heavy loads and experienced high job stress and lack of rest time was significantly higher than that of FDW. However, more FDW than their counterparts worked atypical hours. The differences in fatigue and well-being between PDW and FDW were not statistically significant. The multiple logistic regression analysis revealed low temperature, tobacco smoke, standing for long periods, and job stress were significant predictors of fatigue or well-being of FDW. Among PDW, noise, tobacco smoke, sitting for long periods, quantitative demands, hiding emotions, support from colleagues, job stress, no recovery period, and night work were significant predictors of fatigue or well-being. Conclusion: The findings of this study may be useful in developing nursing interventions for disease protection health promotion of delivery workers.