Vital signs: seat belt use among long-haul truck drivers--United States, 2010

MMWR Morb Mortal Wkly Rep. 2015 Mar 6;64(8):217-21.

Abstract

Background: Motor vehicle crashes were the leading cause of occupational fatalities in the United States in 2012, accounting for 25% of deaths. Truck drivers accounted for 46% of these deaths. This study estimates the prevalence of seat belt use and identifies factors associated with nonuse of seat belts among long-haul truck drivers (LHTDs), a group of workers at high risk for fatalities resulting from truck crashes.

Methods: CDC analyzed data from its 2010 national survey of LHTD health and injury. A total of 1,265 drivers completed the survey interview. Logistic regression was used to examine the association between seat belt nonuse and risk factors.

Results: An estimated 86.1% of LHTDs reported often using a seat belt, 7.8% used it sometimes, and 6.0% never. Reporting never using a belt was associated with often driving ≥10 mph (16 kph) over the speed limit (adjusted odds ratio [AOR] = 2.9), working for a company with no written safety program (AOR = 2.8), receiving two or more tickets for moving violations in the preceding 12 months (AOR = 2.2), living in a state without a primary belt law (AOR = 2.1); and being female (AOR = 2.3).

Conclusions: Approximately 14% of LHTDs are at increased risk for injury and death because they do not use a seat belt on every trip. Safety programs and other management interventions, engineering changes, and design changes might increase seat belt use among LHTDs.

Implications for public health: Primary state belt laws can help increase belt use among LHTDs. Manufacturers can use recently collected anthropometric data to design better-fitting and more comfortable seat belt systems.

MeSH terms

  • Accidents, Occupational / mortality
  • Accidents, Occupational / statistics & numerical data*
  • Accidents, Traffic / mortality
  • Accidents, Traffic / statistics & numerical data*
  • Automobile Driving / statistics & numerical data*
  • Equipment Design
  • Fatigue / epidemiology
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Motor Vehicles / classification*
  • Motor Vehicles / statistics & numerical data
  • Population Surveillance
  • Prevalence
  • Risk Factors
  • Seat Belts / statistics & numerical data*
  • Sex Distribution
  • Sleep Stages
  • Survival Rate
  • United States / epidemiology
  • Work Schedule Tolerance