TY - JOUR
PY - 2016//
TI - Sleep, dietary, and exercise behavioral clusters among truck drivers with obesity: implications for interventions
JO - Journal of Occupational and Environmental Medicine
A1 - Olson, Ryan
A1 - Thompson, Sharon V.
A1 - Wipfli, Brad
A1 - Hanson, Ginger
A1 - Elliot, Diane L.
A1 - Anger, W. Kent
A1 - Bodner, Todd
A1 - Hammer, Leslie B.
A1 - Hohn, Elliot
A1 - Perrin, Nancy A.
SP - 314
EP - 321
VL - 58
IS - 3
N2 - 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.
Language: en
LA - en SN - 1076-2752 UR - http://dx.doi.org/10.1097/JOM.0000000000000650 ID - ref1 ER -