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Violence and Stress Experienced by Female Long-Haul Truckers

Debra Anderson, Ph.D., Principal Investigator
Deborah Reed, Ph.D., Co-Investigator

Funded by the National Institute for Occupational Safety and Health ERC Pilot Project Research Training Program
through the University of Cincinnati Education and Research Center
Grant #T42/CCT510420
(2002)

Abstract


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Homicide is the leading cause of death among women in the workplace and, depending on the geographic area, the first, second, or third leading cause of death among all workers. Sixteen percent of female workplace homicides are caused by an intimate partner.

The purpose of this study is to investigate the prevalence of workplace and domestic violence among female long-haul truck drivers and the effects of violence on their mental and physical health. The specific aims are to: (1) Identify the types of violence and the risks of exposure to violence that women experience as a result of being a long-haul trucker; (2) Determine the prevalence of domestic violence and the effects of domestic violence on the mental and physical health of female long-haul truck drivers; and (3) Identify other stressors of female long-haul truck drivers that place the health and safety of these women at risk.

Survey and interview data will be collected from a pool of 500 female long-haul truck drivers. An estimated 50 percent response rate is expected based on the women’s interest in previous research participation. Cross-sectional data will be collected using the: Conflict Tactics Scale; the Perceived Stress Scale; and the Perception of Job Safety Scale. Women truckers who participated in a previous study and agreed to be contacted for future projects and subscribers to Women in Trucking magazine will be recruited.

Data will be analyzed using descriptive statistics (means and standard deviations or frequency distributions) to summarize the survey results. The relationships among the continuous variables collected will be investigated using Pearson’s product moment correlation. Narrative data from the personal interviews will be transcribed verbatim and analyzed using content analysis methods. The findings of this study will provide the foundation for an R01 proposal to be submitted June 2002.

 

 

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