Adam Hege1, Yorghos Apostolopoulos, Mike Perko, Sevil Sönmez, Robert Strack. 1. 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).
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.
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.
Authors: Sergio Garbarino; Ottavia Guglielmi; Walter G Sannita; Nicola Magnavita; Paola Lanteri Journal: Int J Environ Res Public Health Date: 2018-08-27 Impact factor: 3.390
Authors: Caryn van Vreden; Ting Xia; Alex Collie; Elizabeth Pritchard; Sharon Newnam; Dan I Lubman; Abilio de Almeida Neto; Ross Iles Journal: BMC Public Health Date: 2022-03-08 Impact factor: 3.295