The Work Organization of Long-Haul Truck Drivers and the Association With Body Mass Index.

J Occup Environ Med

Appalachian State University, Department of Health and Exercise Science, Boone, North Carolina (Dr Hege); Texas A&M University, Department of Health and Kinesiology, College Station (Dr Apostolopoulos); University of North Carolina at Greensboro, Department of Public Health Education (Drs Perko, Strack); and Central Florida University, Department of Tourism, Events & Attractions, Orlando (Dr Sönmez).

Published: July 2016

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 (n = 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/m(2), with 64.2% obese (BMI > 30 kg/m(2)) and 18.4% extreme/morbidly obese (BMI > 40 kg/m(2)). 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.

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Source
http://dx.doi.org/10.1097/JOM.0000000000000734DOI Listing

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