Obesity and other risk factors: The National Survey of U.S. Long‐Haul Truck Driver Health and Injury
DOI: 10.1002/ajim.22293
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Summary
This study addresses the lack of nationally representative baseline data regarding the health and injury risks of long-haul truck drivers (LHTD) in the United States. While previous research indicated elevated risks for chronic diseases and injuries among truck drivers, existing studies often relied on convenience samples or administrative records that lacked national representativeness. To fill this gap, the National Institute for Occupational Safety and Health (NIOSH) conducted the National Survey of Long-Haul Truck Driver Health and Injury (LHTDS) to generate precise prevalence estimates for health conditions and risk factors, thereby identifying areas for targeted intervention and policy development. The researchers employed a three-stage probability sampling strategy to ensure national representativeness. First, limited-access highway segments were stratified by geographic region and truck traffic volume. Second, 32 truck stops with overnight parking were selected along these segments. Third, drivers were recruited during specific shifts at these stops. Data were collected from 1,670 currently employed LHTD between October and December 2010. Eligibility required driving a heavy or tractor-trailer truck as a primary job for at least 12 months and taking mandatory rest periods away from home. The survey included personal interviews and anthropometric measurements (height and weight). Statistical analyses involved probability weighting to account for selection probabilities and non-response, with age- and sex-adjusted comparisons made against the 2010 National Health Interview Survey (NHIS) adult working population. The results revealed significantly higher prevalence rates for key risk factors among LHTD compared to the general U.S. working population. Obesity was twice as prevalent in LHTD (69%) as in the general working population (31%), with 17% of drivers classified as morbidly obese. Current smoking rates were also more than double, at 51% for LHTD versus 19% for the general population. Additionally, 14.4% of LHTD reported diabetes mellitus, significantly higher than the 6.8% reported in the NHIS. A majority of drivers (61%) reported having two or more of the following risk factors: hypertension, obesity, smoking, high cholesterol, physical inactivity, or sleeping six or fewer hours per day. Furthermore, 38% of LHTD lacked health insurance, and 18% had delayed or failed to receive needed healthcare in the previous year, both rates being twice those of the general working population. Despite these risks, 84% of drivers perceived their health status as excellent, very good, or good. The study concludes that long-haul truck drivers face a high burden of interrelated risk factors for chronic disease, particularly obesity and smoking, alongside significant barriers to healthcare access. These findings highlight an urgent need for targeted health interventions and continued surveillance specific to this mobile workforce. The data provide essential benchmarks for evaluating future injury and illness reduction efforts and guide the development of health and safety policies for the trucking industry.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | OpenAlex-citations | — | — | 1 | 2026-06-20 |
| archive | success | semantic_scholar | — | — | 6 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-20 |
| chunk | success | chunk | — | — | 1 | 2026-06-20 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-20 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-20 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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- Empirical Findings: observational prevalence