• Korean Journal of Occupational Health Nursing
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• v.10 no.2
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• pp.164-173
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• 2001

To find out the factors affecting to the cardiorespiratory fitness of some workers in Taejon area, cardiorespiratory fitness indices, blood pressure(BP), total cholesterol level(TC), body mass indices(BMI) and life style data were collected from 169 blue collar workers and 106 white collar workers, from September to October 2000. 1. Cardiorespiratory fitness indices were increased statistically significantly by aging(p <0.05), but these was no statistically significantly difference between blue collar workers and white collar workers. 2. These were no significantly difference between types of workers by BMI, BP, blood total cholesterol level, regular exercise, alcohol drinking, smoking and psychosocial stress. 3. Age and BMI were selected affecting factors to the cardiorespiratory fitness indices in blue collar workers by multiple regression analysis, but no affecting factors selected the white collar workers.

• Korean Journal of Social Welfare
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• v.57 no.2
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• pp.93-118
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• 2005

This research examined influence of job stress and drinking subculture on the drinking of white collar employees. The results are as follows: First, there are a higher percentage of population among white collar employees who hold drinking problems in terms of frequency of drinking, amount of drinking, frequency of binge drinking comparing with general populace. The results of research revealed that drinking problems of white collar employees is quite close to dangerous level. Second, job stress didn't display a consistent relationship with drinking and drinking problem, however, drinking subculture revealed that it was related with drinking and drinking problem exhibiting significant influence. And, the results of research didn't support tension reduction hypothesis, and it was identified that social learning theory is main factor that will explain drinking and drinking problem of white collar employees. Therefore, researcher suggested as follow; First, practitioners and researchers exert their efforts for studying about drinking in the relationship to white collar employees. They should also have more interests in the topic from a practical perspective. Second, suggest that EAPs be introduced in order to prevent white collar employees from drinking problem and to promote increase of entire welfare. Third, suggest that succeeding research endeavors be required, which shall embrace all of white & blue collar employees.

• Korean Journal of Occupational Health Nursing
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• v.11 no.1
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• pp.63-80
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• 2002

Objectives: The objective of this study is to evaluate the job characteristics of container terminal workers by applying the Job Strain model, and to assess the relationship among the general characteristics, job characteristics and psychosocial distress. Methods: A self-administrated questionnaire survey was performed to the container terminal workers in Pusan. Among the 200 male workers who answered the questionnaires, white-collar workers and blue-collar workers were 100, respectively. Karaseks Job Content Questionnaire was utilized to evaluate the job characteristics and Psychosocial well-being index (PWI) was applied to measure the extent of their psychosocial stress. Results: In white-collar workers, the skill discretion, created skill, decision-making authority, decision-making latitude, psychological job demand, and supervisor support of the job characteristics were significantly high, while in blue-collar workers physical exertion was significantly high. The result of Psychosocial well-being index (PWI) reveals that blue-collar workers were more stressed than white-collar workers, especially, the indices of depression (factor 2), sleeping disturbance and anxiety (factor 3), General well-being and vitality (factor 4) were significantly increased; whereas, in white-collar workers, only the index of social performance and self-confidence (factor 1) was significantly increased. And PWI scores were significantly increased in the lower social support and psychological job demand. By the multiple logistic regression analysis for PWI, blue-collar workers had increased odds ratio of 2.66(95% CI;1.11-6.41) compared with white-collar workers. The unmarried workers increased odds ratio of 3.54(95% CI;1.18-10.62) compared with married workers. And workers who have not own house increased odds ratio of 2.35(95% CI;1.15-4.79) compared with workers who have own house. Particularly, odds ratio of work-shift in blue-collar workers was 11.10(2.14-57.64). Conclusion: Skill discretion, created skill, decision-making authority, decision-making latitude, psychological job demand, and supervisor support were increased in white-collar workers. Decreased skill discretion and increased physical exertion were found in blue-collar workers, which is supported the Job Strain model. Job stress of blue-collar workers was comparatively higher than that of white-collar workers, especially, skill discretion, decision-making authority, decision-making latitude, job insecurity, physical exertion were noticeable factors. Especially, sleeping, smoking, and work shifting turned out to be a main cause that increases stress. Therefore, in order to decrease the job stress, a health promotion program to change the health behaviors should be activated and an organized job stress management program should be introduced. Especially, working condition for blue-collar such as physical exertion and work-shift should be improved.

• Journal of Preventive Medicine and Public Health
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• v.29 no.3 s.54
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• pp.609-616
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• 1996

This study was conducted to evaluate the degree of stress state and the risk factors related to in 967 white collar workers and 275 blue collar workers by using Psycosocial Well-being Index. The results obtained were as follows : 1. In the white collar workers and blue collar workers, young age, low education and low income groups had high scores of stress, while in white collar workers, female had high scores of stress but in blue collar workers, male had high scores of stress. 2. According to psychosocial well-being index, mild stress sto were 73.9% and 53.1%, high risk stress state were 8.9% and 44.4%, and healthy state were 17.2% and 2.6% in white collar and blue collar workers respectively. 3. The total stress score was highly associated with the factors of depression, social performance and self-confidence, general well-being and vitality, and sleeping disturbance and anxiety in order. 4. In reliability test of stress factors, Cronbach's $\alpha$ coefficients of depression, social performance and self-confidence, general well-being and vitality, and sleeping disturbance and anxiety were 0.89, 0.81, 0.79, and 0.74 respectively. In conclusion, it suggested that age, sex, marital status, income, education, sleeping time, smoking and exercise habit were associated with stress score, all of the above factors should considered to occupational health.

• 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.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.104-109
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• 2024

In this paper, we examine American career self-help advice in the context of white-collar labor market changes in the U.S., especially how it tries to motivate and empower white-collar job seekers and how fundamentally flawed this is. In this regard, we focus on What Color Is Your Parachute? by Richard Nelson Bolles, as it is the foundational and representative literature in the field of career self-help advice. We first look at the white-collar labor market changes in the U.S. and the growth of career self-help advice along with its influence. We then show that What Color Is Your Parachute? seeks to motivate and inspire job seekers by defining job searching in individual terms and overlooking its structural nature. From this, we point out the most problematic aspect of career self-held advice, i.e., shifting job search responsibility as well as its outcome solely to individual job seekers, while also making it difficult to scrutinize and understand the broader context affecting job searching.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5692-5699
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• 2011

This study aims to determine potential differences in self-perceived oral health levels between blue-collar and white-collar workers. It is based upon questionnaire survey data dating from Mar. 1 to 30, 2011. All the data collected from 200 blue-collar workers and 100 white-collar worker was analyzed using statistical tools like SPSS ver. 19.0. Self-perceived oral health levels were analysed across three sub-factors - physical, psycho-social, and psychological factors - which were confirmed through factor analysis. The psycho-social factor was statistically significant for age and shift work. Self-perceived oral health levels across the three factors were quantitatively correlated except for psychological factors in blue-collar workers. The study found that occupational group affects workers' self-perceived oral health level. The explanatory power of these 4 variables total 51% in blue-collar group. In case of white-collar group, it was found one variable total 30%. Since oral health levels differ between blue-collar and white-collar workers, oral health promotion projects should differentiate between the two groups, and workers with an interest in their tooth for the prevention, yet negligent act because it will keep your personal oral health care in the prevention-oriented oral health promotion.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.25 no.3
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• pp.418-427
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• 2015

Objectives: This study evaluated the association between work related characteristics and hypertension among white collar workers in Korea. Materials and methods: This study was based on the Third Korean Working Conditions Survey(KWCS) conducted in 2011 among workers 15 years of age or older. The total number of individuals included in the analysis was 10,365 white collar workers. Results: The prevalence rate of hypertension was 3.7% among men and 1.0% among women. In multiple logistic analysis the adjusted odds ratio showed statistically effective association to hypertension. For work related characteristics, 1.73 (95% confidence interval, 1.22-2.46) resulted for large-company workers compared with the small-company group, 2.14 (95% CI, 1.22-3.75) for the long working hours group (61 or above) compared with short working hours group(52 or below), 1.78(95% CI, 1.08-2.95) for night shift workers compared with day workers, and 1.54 (95% CI, 1.18-2.01) for high job stress workers compared with low job stress workers. Conclusions: This study showed that it is important for workers to manage their work environment in order to prevent hypertension by modifying their types of work.

• Journal of the Korean Society of Clothing and Textiles
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• v.9 no.3
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• pp.27-34
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• 1985

The purpose of this study was to investigate the relationship between four aspects of clothing behavior and perceptual orientation, and between those and job satisfaction of white-collar men. Those aspects of clothing behavior included: clothing conformity, clothing satisfaction, status symbol and occupation symbol. Perceptual orientation was measured with Choi's Perceptual Orientation Scale and job satisfaction, with some items of Miller's The Attitude Toward Any Occupation Scale. Clothing comformity and clothing satisfaction were measured with Kahng's, lung's, Koh's and Lee's questionaire. Status symbol was measured with Koh's and Lee's questionaire, and occupation symbol items were prepared for this study. The questionaire in this study were administered to 323 white-collar workers in Seoul. The statistical methods utilized Pearson'a product moment correlation, one-way ANOVA test, Duncan's multiple range test and multiple regression analysis. The results obtained from this study were : 1. Perceptual orientation was positively correlated to clothing satisfaction, and negatively correlated to status symbol. 2. Job satisfaction was positively correlated to clothing satisfaction and clothing comformity. 3. Clothing conformity, clothing satisfaction and job satisfaction showed significant differences according to occupation.

• Journal of Nutrition and Health
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• v.50 no.1
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• pp.74-84
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• 2017

Purpose: In this study, factors of metabolic syndrome and nutritional status were examined according to gender and occupations using the 2013 Korea National Health and Nutrition Examination Survey (KNHANES). Methods: This study was conducted on 1,750 workers (male : 892, female : 858) aged between 30 and 64, who participated in a health survey, health examination, and nutrition survey using the 6th 2013 KNHANES. Occupations were classified into white collar and blue collar workers, and nutrient intake was analyzed using a food frequency questionnaire. Analysis of complex sample design data through SPSS 19.0 was used for analysis. Results: The prevalence rate of metabolic syndrome among blue collar (35.1%) was higher than that among white collar workers (26.8%) in male subjects (p < 0.05) as well as in blue collar (24.8%) compared to white collar workers (8.9%) in female subjects (p < 0.001). Intake frequency per week, considering one portion by food category, showed significant differences in cooked rice (p < 0.05) and bakeries and confectioneries (p < 0.05) in make workers as well as stew and casserole (p < 0.01) and fruits (p < 0.05) in female workers. With regard to nutrient intake by occupation and gender, white collar workers consumed a greater amount of nutrients (not including total energy intake) compared to blue collar workers in both male and female workers. With regard to nutrient adequacy ratio (NAR) and mean adequacy ratio (MAR) according to gender and occupation, white collar workers showed higher numbers than blue collar workers in both male and female subjects. Conclusions: This study examined the prevalence rates of metabolic syndrome and nutrient intake according to gender and occupation. In both male and female subjects, blue collar workers showed higher prevalence rates compared to white collar workers, and their diet quality was worse than white collar workers' diet quality. Considering this result, customized nutrition education according to gender and occupation should be provided to workers to prevent diseases.