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Diet Associations With Sleep and Fatigue Among Truck Drivers: Baseline Results From the SHIFT Randomized Controlled Trial
Author(s) -
Thompson Sharon,
Hohn Elliot,
Wipfli Brad,
Olson Ryan
Publication year - 2015
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.29.1_supplement.602.1
Subject(s) - medicine , actigraphy , randomized controlled trial , psychomotor vigilance task , environmental health , psychological intervention , demography , physical therapy , sleep deprivation , insomnia , cognition , surgery , psychiatry , sociology
This study examined baseline associations between diet and sleep/fatigue among commercial truck drivers enrolled in a randomized controlled trial of the Safety & Health Involvement For Truckers (SHIFT) weight loss and health promotion program (NHLBI, R01HL1054950). Participants (n=454) completed a written survey and health assessment that included a 10‐minute psychomotor vigilance task (PVT). Objective sleep actigraphy was conducted for 7‐10 days with a subsample of drivers using the Actiwatch Spectrum. Diet‐focused survey measures included fruit and vegetable servings, percentage energy from fat, and intake of fast food and sugary drinks/snacks. Sleep and fatigue survey measures included self‐reported sleep quality. PVT outcomes included reciprocal response time, slow responses, and lapses in attention. Linear regression was used to explore relationships between variables. Age and BMI were used as covariates in analyses. Participants were majority male (86.6%) with a mean age of 47.8 years (SD=11.4) and BMI of 37.2 kg/m 2 (SD=8.1). Drivers ate few daily fruit and vegetable servings (M=2.6, SD=2.3) and reported consuming sugary drinks, sugary snacks, and fast food 3‐4 times per week. Findings for fruit and vegetable servings were mixed, but included a significant relationship between higher fruit and vegetable consumption and fewer slow responses (β=‐.11, p=.024). A significant interaction was also found between sugary drinks and poor sleep quality (β=.11, p=.032). Preliminary results highlight the need for driver health interventions, and reveal dietary associations with poor sleep quality and indicators of fatigue.