The researcher intended to investigate the rate absenteeisms and other related statistics among the workers in a steel and iron industry with the criteria and the recommendation of the International Association on Occupational Health. With the well designed questionnaire and interview, 1,882 workers were surveyed from July the 24th to the 28th, 1978. The results were as follows ; The workers who experienced absence were 16.8% in July. The rate of frequency (spells) was as follow ; the frequency (spells) was 1.34, the duration was 2.29, the frequency (persons) was 101.06 and the lost time was 0.63, respectively. The main causes of sickness absence were general symptoms. such as fatigue (50.8%) and gastro-intestinal symptoms (13.8%). The frequency of sick was highly correlated to the frequency of drinking, the amount of smoking, the physical work-load and the amount of drinking, which was analysed by the stepwize multiple regression analysis. The multiple R due to the above mentioned four variables was 0.320 and the R square was 10.3%.
Drinking ; Fatigue ; Iron ; Occupational Health ; Surveys and Questionnaires ; Smoke ; Smoking ; Steel

No abstract available.
Occupational Diseases*

No abstract available.

This study was planned in order to investigate coal miners' recognition and attitude toward pneumoconiosis, and its relationship with related behavior for prevention of pneumoconiosis. Study object was coal miners in Kangneung area, sampled by multistage random proportional sampling, Sample size was 13% of total coal miners in Kangneung area. The results were divided into three parts: (1) descriptive results presented percent distribution, (2) reclassification of knowledge, experiences, and attitude by factor analysis, (3) prediction of health behavior for prevention of pneumoconiosis by discriminant analysis. Knowledge, experiences, and attitude toward pneumoconiosis were classified into nine factors. Knowledge about pneumoconiosis were broken down to two factors and attitude to four factors, and valence, perceived severity were classified into each one factor. According to demographic, socioeconomic characteristics, and factors of knowledge, experiences, attitude about pneumoconiosis, about 62% of behavior of wearing respiratory protector was correctly discriminated. And by the same methods, about 81% of behavior of hospital visit at respiratory symptoms; cough, sputum, chest pain etc. was discriminated correctly.
Chest Pain ; Coal* ; Cough ; Gangwon-do* ; Health Behavior ; Pneumoconiosis* ; Sample Size ; Sputum

The concentrations of serum proteins fractions and their electrophoretical patterns were investigated in 135 patients with coal workers' pneumoconiosis who participated in confirmative examination for pneumoconiosis in December 1989. Their radiographical profusions were classified as 1/0 or more. Agarose film and phosphoric acid-sodium hydroxide buffer(pH 8.6) were used for electrophoresis. Concentration of each protein fractions and electrophoretical patterns seemed to be equivalent to reference values. Serum alpah1- and beta-globulin concentrations, however, were significantly different(p<0.50) among categories of small opacity profusions and showed the lowest level in the group of category 1. Albumin concentrations decreased and alpha2-globulin concentrations increased significantly(p<0.05) in the group of complicated with pulmonary tuberculosis. gamma-globulin concentrations were not varied by category of profusions nor by pulmonary tuberculosis complication.
Beta-Globulins ; Blood Proteins ; Coal* ; Electrophoresis ; gamma-Globulins ; Humans ; Pneumoconiosis* ; Reference Values ; Sepharose ; Tuberculosis, Pulmonary

No abstract available.
Pneumoconiosis* ; Thorax*

No abstract available.
Craniocerebral Trauma* ; Head*

Serum Immunoglobulin (Ig)A, IgG, IgM, levels were measured in 99 coal workers' pneumoconiosis (CWP) patients and 12 healthy coal workers and 9 non-miners to compare with each group by the radiological categories, its complications and working period in coal mine. Serum were measured by nephelometry. The findings were as follows: 1) Serum IgA levels were significantly different between three groups of CWP patient, healthy coal worker and non-miner (mean+/-standard deviation: 226.4+/-87.7, 221.3+/-45.1, 170.1+/-65.7 respectively). 2) There were no significant differences of Ig levels among radiological categories of CWP. 3) There were no significant differences of Ig levels among simple pneumoconiosis and its complicated disorders. 4) The three Ig levels were slightly increased in the group of mining years less than 20 years (IgA: r=0.1869, p<0.10 IgG: r=0.2902, p<0.05 IgM: r=0.2889, p<0.05).
Coal* ; Humans ; Immunoglobulin A ; Immunoglobulin G ; Immunoglobulin M ; Immunoglobulins* ; Mining ; Nephelometry and Turbidimetry ; Pneumoconiosis*

No abstract available.
Crowns*

OBJECTIVES: This study is to see the transition and pattern of the industrial iureal worker, and to develop the prediction model. METHODS: The data of the study are based on the samples from data-warehouse of Occupational Safety & Health Research Institute and are summed monthly from Jan 1986 to Dec 1999. This study data used data mart and Meta data from DW in KOSHA. The prediction model of the injured worker in Industry is designed by using a winters time series method after data preparing (i. e. sample, explore, modify) from DW. RESULTS: Thls predicted model obtained Winters-method multiplicative in exponential smoothing among applied all models, after the tlme series (total 163 months). It showed that the prediction power was 95.5 %. CONCLUSIONS: In the process of exploring the data, totally the rate of industrial injureal workers reduced, and in the yearly circulation, in February and September the number is the lowest but in June, July, October and November the higher. The number of monthly average injureal workers is 8709 (95 % confidence interval 8277, 9140). From the developed prediction model, since Aug 1999 the industrial injureal worker reduced rapidly in Dec 1999 and first period of 2000. But In second period of 2000 the number of the injured workers is increasing. To conclude, as the total economic situation is becoming better in 2000 than In 1999, its is supposed that the injured workers will increase more than the predictive injured workers because of the increase of production rate and labor force.
Academies and Institutes ; Data Mining* ; Employment ; Humans ; Occupational Health