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Work-Addiction Risk in Athletic Trainers and Its Relationship to Work-Family Conflict and Burnout
Christianne M Eason1,2, Timothy Joseph Gilgallon1, Stephanie M Singe1
1Department of Kinesiology, University of Connecticut, Storrs.
Context:
Individual factors can affect numerous work-life interface outcomes, including work-family conflict and burnout. Recently, the concept of work addiction has been investigated as an individual factor that could affect numerous outcomes. Despite the large body of literature investigating work-family conflict and burnout in athletic training, little is known about the incidence of work addiction or its potential effect on these outcomes.
Objective:
To gather descriptive data on the work-addiction risk and examine the effect work addiction may have on work-life interface outcomes in athletic training.
Design:
Cross-sectional study.
Setting:
Online web-based survey.
Patients Or Other Participants:
Athletic trainers (ATs) employed in all work settings were recruited to participate via social media and email distribution lists. Data from 226 (n = 65, 28.8% males; n = 161, 71.2% females) ATs, currently employed in more than 13 work settings, were included in data analysis.
Main Outcome Measure(S):
The online questionnaire consisted of 4 main sections: demographic questions, work-family conflict scale, Copenhagen Burnout Inventory, and the Work Addiction Risk Test. We calculated Mann-Whitney U and Kruskal-Wallis tests to determine if group differences existed. Simple linear regressions were used to assess if work-addiction risk scores predicted burnout and work-family conflict.
Results:
The ATs experienced moderate levels of personal (55.0 ± 19.1) and work-related (50.0 ± 16.0) burnout and were at medium risk for work addiction (58.3 ± 11.2). No demographic differences were observed in burnout or work-family conflict scores, but these scores differed based on the work-addiction risk. Women were more at risk for compulsive tendencies than were men. Work-addiction risk scores predicted both burnout and work-family conflict, but only a relatively small percentage of the variability was explained.
Conclusions:
Those ATs at higher risk for work addiction reported higher levels of burnout. Because of the medium risk for work addiction among ATs, work-addiction mitigation strategies should be implemented by individuals and organizations.
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