Rocky Mountain Center for Occupational and Environmental Health, Department of Family & Preventive Medicine, University of Utah School of Medicine, Salt Lake City, Utah (Dr Okorie, Dr Thiese, Dr Handy, and Dr Hegmann); Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah (Dr Murtaugh); University of Utah College of Nursing, Salt Lake City, Utah (Dr Sheng).
J Occup Environ Med. 2019 Nov;61(11):944-948. doi: 10.1097/JOM.0000000000001706.
Commercial motor vehicle (CMV) drivers face many challenges to their health, including poor diet, disease, and crash risk. This study quantifies relationships between the percentage of calories from fat (PCF) and markers of poor health, many of which are associated with increased crash risk.
Cross-sectional data from 790 CMV drivers were analyzed. PCF were estimated using the National Cancer Institute Percentage Energy from Fat Screener. Adjusted odds ratios (ORs) were calculated.
The highest category of PCF (>38.2%) was statistically significantly more likely to not exercise (OR = 2.08), have sleep apnea (OR = 2.31), snore (OR = 1.90), smoke (OR = 2.28), and use alcohol (OR = 1.87) after adjustments.
Meaningful relationships between PCF and poor health indicators exist. These indicators may provide an intervention to improve the health and safety of CMV drivers.
商用机动车（CMV）驾驶员的健康面临诸多挑战，包括不良饮食、疾病和撞车风险。本研究量化了脂肪卡路里百分比（PCF）与健康不良标志物之间的关系，其中许多标志物与增加撞车风险有关。
分析了 790 名 CMV 驾驶员的横断面数据。使用国家癌症研究所脂肪能量百分比筛查器估算 PCF。计算了调整后的优势比（OR）。
PCF 最高类别（>38.2%）在统计学上更有可能不锻炼（OR=2.08）、患有睡眠呼吸暂停（OR=2.31）、打鼾（OR=1.90）、吸烟（OR=2.28）和饮酒（OR=1.87），调整后差异具有统计学意义。
PCF 与健康不良指标之间存在有意义的关系。这些指标可能为改善 CMV 驾驶员的健康和安全提供干预措施。
