The Work Organization Of Long-Haul Truck Drivers And The Association With Body Mass Index

ASU Author/Contributor (non-ASU co-authors, if there are any, appear on document)
Adam Hege PhD, Assistant Professor (Creator)
Appalachian State University (ASU )
Web Site:

Abstract: Objective: The aim of this study was to examine relationships between work organization features of work hours, work schedules, and job stress with body mass indexes (BMIs) of long-haul truck drivers. Methods: Face-to-face survey data were collected first, followed by collection of anthropometric measures including height and weight (n¼ 260). Logistic regression (backward stepwise model) was used to identify significant predictors of BMI and to analyze odds ratios. Results: Mean BMI was 33.40 kg/m2, with 64.2% obese (BMI > 30 kg/m2) and 18.4% extreme/morbidly obese (BMI > 40 kg/m2). Working more than 11 daily hours was associated with statistically significant increased odds for being extreme obese. Conclusion: Findings suggest that longer work hours (>11 hours daily) have a major influence on odds for obesity among this population. The results align with recent NIOSH calls for integrated approaches to worker health.

Additional Information

Hege, Adam PhD; Apostolopoulos, Yorghos PhD; Perko, Mike PhD; Sönmez, Sevil PhD; Strack, Robert PhD. (2016). The Work Organization of Long-Haul Truck Drivers and the Association With Body Mass Index. Journal of Occupational and Environmental Medicine, 58(7), 712-717. doi: 10.1097/JOM.0000000000000734. Publisher version of record available at:
Language: English
Date: 2016
Body Mass Index (BMI), long work hours, shift work, work organization, truck driving

Email this document to