Ontology highlight
ABSTRACT: Objective
The objectives of the study were to describe a sample of truck drivers, identify clusters of drivers with similar patterns in behaviors affecting energy balance (sleep, diet, and exercise), and test for cluster differences in health safety, and psychosocial factors.Methods
Participants' (n = 452, body mass index M = 37.2, 86.4% male) self-reported behaviors were dichotomized prior to hierarchical cluster analysis, which identified groups with similar behavior covariation. Cluster differences were tested with generalized estimating equations.Results
Five behavioral clusters were identified that differed significantly in age, smoking status, diabetes prevalence, lost work days, stress, and social support, but not in body mass index. Cluster 2, characterized by the best sleep quality, had significantly lower lost workdays and stress than other clusters.Conclusions
Weight management interventions for drivers should explicitly address sleep, and may be maximally effective after establishing socially supportive work environments that reduce stress exposures.
SUBMITTER: Olson R
PROVIDER: S-EPMC5529034 | biostudies-literature | 2016 Mar
REPOSITORIES: biostudies-literature

Olson Ryan R Thompson Sharon V SV Wipfli Brad B Hanson Ginger G Elliot Diane L DL Anger W Kent WK Bodner Todd T Hammer Leslie B LB Hohn Elliot E Perrin Nancy A NA
Journal of occupational and environmental medicine 20160301 3
<h4>Objective</h4>The objectives of the study were to describe a sample of truck drivers, identify clusters of drivers with similar patterns in behaviors affecting energy balance (sleep, diet, and exercise), and test for cluster differences in health safety, and psychosocial factors.<h4>Methods</h4>Participants' (n = 452, body mass index M = 37.2, 86.4% male) self-reported behaviors were dichotomized prior to hierarchical cluster analysis, which identified groups with similar behavior covariatio ...[more]