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의사결정나무 분석기법을 이용한 근로자의 문제음주 예측모형
김미혜(Mee-Hye Kim),김순희(Soon-Hee Kim),옥찬명(Chan-Myung Ock) 한국생활환경학회 2015 한국생활환경학회지 Vol.22 No.3
This study was done to develop a predictive model on problem drinking that will provide a new paradigm of problem drinking prevention program for employees. The cross-sectional descriptive study was done with a self administered questionnaire survey method. Participants included in the final analysis were 296 workers. The questions were on demographic factors, job related factors, and AUDIT. Decision tree analysis using SPSS Statistics 21 program was applied to build an optimum and significant predictive model on problem drinking of workers. From the data analysis, the predictive model for factors related to workers’ problem drinking presented with 4 pathways. The most important predictive factor was gender, and the following factors were on-duty hour, income and job type in order. In terms of the accuracy of the predictive model, overall predictive percent incorrect was 27.7%, and predictive percent corrects of normal drinking and problem drinking were 67.5% and 78.2% respectively. According to the results, it is necessary to provide a differentiated program depending on the predictive factors of workers’ problem drinking.
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서울시 일부 대학생들의 건강습관과 건강상태의 관련성 연구
옥찬명,문인옥,김연희 대한보건협회 2001 대한보건연구 Vol.27 No.3
The purpose of this study was to find the association with the health practices and health status for university students. The subjects were taken 804 university students in seoul. The data were collected by self-administered questionnaire during 2 weeks from October 15, 2000. The findings were as follows: 1. Only 33.3% of the subjects had taken a health education-related class. 2. The male students showed better health practices than females on no snacks (p<0.001), going to bathroom regularly(p<0.001), taking a walk(p<0.01), and doing exercise(p<0.001). On the other hands the female students showed better practices such as no smoking and no drinking. 3. Religious showed higher health practice scores than non-religious ones(p<0.001). 4. Seventy five point nine percent of the respondents were in healthy group showing significant difference by sex (p<0.001) with 2.79 odds ratio. 5. The healthy group showed better health practices than non-healthy group such as on going to bathroom regularly(p<0.01), taking a walk (p<0.01), and having low stress(p<0.001). And the healthy group got more stress than the unhealthy group showing significant difference statistically (p<0.001). 6. To designate the factors influencing students' health status, logistic regression analysis has been done. According to the results of this analysis, health practices, and sex were selected as significant factors associated with the health status. The students who got higher health practices perceived their health better than lower health practices with odds ratio [OR] = 3.73 (p<0.001). And health practices had the most significant effect on health status. And the odds ratio of good health status was 2.61 for male students(p<0.001).
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