Work

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

Year: 2016

Type: article

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 (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.

Source: Journal of Occupational and Environmental Medicine

DOI: 10.1097/jom.0000000000000734

Authors: Adam Hege, Yorghos Apostolopoulos, Mike Perko, Sevil Sönmez, Robert Strack

Institutions: University of North Carolina at Greensboro, Appalachian State University, Texas A&M University, University of Central Florida

Language: English

Topic: Sleep and Work-Related Fatigue

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

SDGs: Good health and well-being, Decent work and economic growth

Open Access status: green

OpenAlex ID: W2403247939