Sleep, dietary, and exercise behavioral clusters among truck drivers with obesity

Ryan Olson, Sharon V. Thompson, Brad Wipfli, Ginger Hanson, Diane L. Elliot, W. Kent Anger, Todd Bodner, Leslie B. Hammer, Elliot Hohn, Nancy A. Perrin

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)314-321
Number of pages8
JournalJournal of occupational and environmental medicine
Issue number3
StatePublished - Mar 1 2016

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health


Dive into the research topics of 'Sleep, dietary, and exercise behavioral clusters among truck drivers with obesity'. Together they form a unique fingerprint.

Cite this