원문정보
초록
영어
Objective: Under SCL index system, through the comparative study, this paper investigates whether there are significant differences in mental illness tendency between Chinese coal mine workers underground and on the ground. Methods: This paper uses computer to retrieve in Medline, Sciencedirect, Web of Science, the Cochrane Library, Springerlink, CNKI, Wanfang and Weipu database. The retrieval time is from the very beginning of building database to the March of 2015. After the extraction of available data, Stata 10.1 analysis software was applied to heterogeneity test on the research. Then the paper uses the random effects model to calculate and combine odds ratio as well as 95% confidence interval. Results: 15 articles were finally included by using Meta analysis. Collating data of the experimental group and control group, this paper carries on forest figure mapping, publication bias test, sensitivity analysis and cumulative Meta analysis, and one study result is found to have great deviation impact on the overall conclusion. Eliminating the above research result, the results are greatly improved. Conclusion: Through the result of the Meta analysis, this paper concludes that there are significant differences in mental illness tendency between Chinese coal mine workers underground and on the ground.
목차
1. Introduction
2. Literature Retrieval and the Choice of Data
2.1. Literature Retrieval
2.2. The Choice of Data
3. General Introduction of Meta Analysis and Selection of Statistical Methods
3.1. General Introduction of Meta Analysis
3.2. Selection of Statistical Methods
4. Meta Analysis Results of Coal Mine Workers’Mental Illness Tendency under the SCL Index System
4.1. Forest Figure
4.2. Publication Bias
4.3. Sensitivity Analysis
4.4. Cumulative Meta-Analysis
5. Further Discussion on Meta Analysis Results of Mine Workers’Mental Illness Tendency
5.1. Discussions on Excluding the Research Results
5.2. Further Interpretation of basic Meta analysis Results
6. Discussion
7. Conclusion
Acknowledgments
References
