• 월간산업보건
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• s.260
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• pp.69-81
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• 2009

$\bullet$ 목적 본 연구는 한국의 생산직 근로자와 사무직 근로자의 직업성 손상 및 질환의 차이를 비교하고 산재보고 축소(underreporting)의 규모를 추정하고자 수행되었다. $\bullet$ 방법 한국의 경인지역에서 구축된 근로자 건강진단 수진자 코호트와 1999-2001년 사이에 재직 중이었던 근로자의 건강보험 청구자료를 이용하였다. 근로자의 직무내용과 건강진단의 종류(특수건강진단 및 일반건강진단)로 사무직과 생산직 근로자로 구분하였으며, 이들 사이의 근골격계질환과 손상 및 중독에 해당하는 건강보험 이용률의 차이를 신고되지 않은 산재로 추정하였다. 이를 바탕으로 도수율, 산재발생률 및 재해율을 계산하였다. $\bullet$ 결과 생산직 근로자는 사무직 근로자보다 100 인년 당 3.47건 더 높은 건강보험이용률을 보였다. 이를 토대로 추정한 한국의 도수율은 12.57-18.1, 재해율은 2.74-3.29, 산재발생률은 3.62-5.44이었다. $\bullet$ 결론 한국 제조업의 산재발생률은 공식적인 통계보다 2-3배 더 높을 것으로 추정되지만, 연구의 제한점을 고려하여 이해할 필요가 있다.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.199-208
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• 2017

This study investigated the effects of overtime work on the health-related quality of life (HRQoL) of Korean blue-collar workers. This cross-sectional study collected data on 229 Korean blue-collar workers in six small-sized companies from October to November 2015. The data were analyzed using hierarchical multiple regression analysis to estimate the effect of overtime work while considering convergence variables. In the hierarchical regression model, when overtime work variable was included in the model, $R^2$ change was statistically significant. The significant predictors for HRQoL were overtime work (${\beta}=.152$, p=.025), depression (${\beta}=-.192$, p=.003) and night shift work (${\beta}=-.201$, p=.032). The results of this study provide a basic data for establishing optimal working hours standards for improving the quality of life of Korean blue-collar workers.

• Journal of Preventive Medicine and Public Health
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• v.28 no.3 s.51
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• pp.543-550
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• 1995

The authors conducted a cross-setional study to evaluate the differences of screening test results between clerks and laborers in an occupational health center in Taegu, 1992. A total of 10, 207 workers was included in the study. Of these, male were 6,597 and female 3,610. Constitutional variables included were items of health examination and some confounding variables(sex, age, body weight and work duration). All analyses were conducted separately for each sex through the use of multiple logistic regression analysis on occupation, controlling for age, work duration, and body weight. Laborers showed abnormal hearing test more often than clerks in both sexes. The blood pressure that showed statistical significance in univariate analysis in both sexes lost its significance after controlling covariates. Liver function and urine protein had statistically significant differences between two occupational groups in males and visual correction did in females. The results suggest that there are differences clerks and laborers in some of screening tests and analytic studies are needed to identify the causes of the differences.

• 프린팅코리아
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• v.13 no.2
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• pp.72-73
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• 2014

2013년 9월 기준으로 현재 20~299인이 종사하는 1200개 중소제조업 생산직 근로자의 직종별 노임(일급)을 조사한 결과 오프셋 인쇄공의 평균 일금은 8만6204원인 것으로 나타났다. 또한 전체 조사직종(139개)의 평균 조사노임(일급)은 6만9423원으로 전년의 만6122원보다 5.0% 상승했다. 중소기업중앙회(회장 김기문)는 최근 국가를 당사자로 하는 계약시 제조원가계산의 기준이 되는 노무비 산정의 기초자료 제공을 위한 '2013년도 중소제조업 직종별 임금조사결과'를 발표했다. 이번 조사는 중소제조업 1200개 업체(종사자 20~299인)를 대상으로 진행됐으며, 발표된 조사노임(일급)은 2014년 1월 1일부터 적용된다.

• 베이커리
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• no.10 s.327
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• pp.70-74
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• 1995

• 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.

• 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.

• 월간산업보건
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• s.111
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• pp.42-43
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• 1997

• Research in Community and Public Health Nursing
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• v.2 no.1
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• pp.361.1-361.1
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• 1990

• Journal of Nutrition and Health
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• v.49 no.6
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• pp.495-505
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• 2016

Purpose: This study was conducted to investigate and analyze the association between stress from shift and non-shift work as well as the effects living habits have on eating habits in order to identify why and how workers can improve their health and form proper eating habits for higher working efficiency. Methods: The subjects of this study were 361 workers from K manufacturing company from April 7 to 11, 2014 and they were surveyed using a questionnaire. The subjects were divided into two groups according to working pattern: shift workers (n = 216) and non-shift workers (n = 110). Results: In the general characteristics, there were significant differences in age, work career, work time, marriage, monthly income, and education levels between the two groups. For healthy behaviors, significant differences in subjective health status, moderate physical activity, drinking, smoking, and sleep time were observed between shift workers and non-shift workers. For eating habits, scores of non-shift workers having a regular mealtime, balanced meal composition, and vegetable and seaweed intakes were significantly higher than those of shift workers. The sum score of dietary habits in non-shift workers was also significantly lower than that in shift workers (p < 0.05). Total job stress score did not significantly differ between the two groups. Conclusion: The sum of eating habit scores according to work types was $16.1{\pm}0.6$ in non-shift workers and $14.0{\pm}0.3$ in shift workers. These results suggest that it is necessary to provide food suitable to characteristics of different workers according to work type which should be provided along with daily nutrition counseling to help subjects recognize their status.