**5. Conclusions**

According to the study results, alcohol consumption caused an increased rate of work accidents. There are studies that demonstrate alcohol use and smoking increase work accidents, both in men and women [44]. Contrary to this study, there are also other studies in the literature demonstrating that bad habits such as using alcohol and smoking do not influence work accidents [45]. Additionally, it was found that people with poor health are more likely to experience work accidents than people with good health. In general, people's poor health conditions make them unable to focus on their job and not being careful enough. This situation leads employees to being exposed to accidents.

Methods such as young employees receiving a good education, workers completing their education before beginning work, regular check-ups for employees and early intervention in diseases, attempts to reduce stress in work life as well as to reduce the negative impact of the job environment on employees, preserving a positive work-life balance, and supporting employees with bad habits such as alcohol and smoking through various rehab activities can play significant roles in reducing work accidents. Also, having first aid experts and doctors constantly available on the job site will help to minimize bad outcome from injuries with early intervention in accidents. In addition, workers not working for long hours during the day, workers having sufficient breaks, and workers having holidays will prevent loss of focus during work, thus playing a great role in reducing work accidents. Using safety signs in workplaces, having constant supervision of employees during working hours, and immediate intervention with people who violate safety rules will have a minimizing impact on work accidents.

### **6. Limitations**

This study had several limitations. First, the study data were secondary data. Variables required for statistical analysis consisted of existing variables in the

**143**

**Author details**

Ömer Alkan\* and Sena Gültekin Ataturk University, Erzurum, Turkey

\*Address all correspondence to: oalkan@atauni.edu.tr

provided the original work is properly cited.

*Modeling the Factors That Affect Work Accidents with Binary Logistic Regression…*

dataset. Second, as the data was cross-sectional, a definitive causal relationship on factors that influence work accidents could not be inferred. Third, this study was not based on recorded data. The data were collected through surveys conducted by the TSI. The data obtained in this study were direct responses from individuals. Since there is no officially recorded data, results obtained from the data collection method could be biased. Fourth, since the data was collected via a survey and actively answered by working individuals, it did not contain data related to fatal accidents. Finally, the frequency of alcohol consumption for individuals who drank

The authors would like to thank the Turkish Statistical Institute for the data. The views and opinions expressed in this manuscript are those of the authors only and do not necessarily represent the views, official policy, or position of the Turkish

This research did not receive any specific grant from funding agencies in the

© 2020 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

*DOI: http://dx.doi.org/10.5772/intechopen.93872*

alcohol could not be determined.

public, commercial, or not-for-profit sectors.

The authors declare no conflict of interest.

**Acknowledgements**

Statistical Institute.

**Conflict of interest**

**Funding**

*Modeling the Factors That Affect Work Accidents with Binary Logistic Regression… DOI: http://dx.doi.org/10.5772/intechopen.93872*

dataset. Second, as the data was cross-sectional, a definitive causal relationship on factors that influence work accidents could not be inferred. Third, this study was not based on recorded data. The data were collected through surveys conducted by the TSI. The data obtained in this study were direct responses from individuals. Since there is no officially recorded data, results obtained from the data collection method could be biased. Fourth, since the data was collected via a survey and actively answered by working individuals, it did not contain data related to fatal accidents. Finally, the frequency of alcohol consumption for individuals who drank alcohol could not be determined.
