Search

BackgroundFatigue driving is an important cause of road traffic accidents in modern society, and the fatigue condition of heavy-duty commercial truck drivers has attracted widespread attention. Research on the fatigue status and influencing factors of heavy-duty commercial truck drivers in China is relatively rare at present. ObjectiveTo analyze the main characteristics of fatigue among heavy-duty commercial truck drivers and the impacts of factors such as working hours, insomnia, and occupational burnout on their fatigue status. MethodsUsing cluster sampling method, a cross-sectional study was conducted from July to August 2023, enrolling heavy-duty commercial truck drivers in long-distance freight logistics markets (stations) located in three administrative regions of W City, Xinjiang Uygur Autonomous Region. A self-designed questionnaire was used to collect demographic and occupational characteristics of heavy-duty commercial truck drivers, and the Chinese versions of Fatigue Scale-14 (FS-14), Athens Insomnia Scale (AIS), and Maslach Burnout Inventory General Survey (MBI-GS) were used to evaluate their fatigue, insomnia, and occupational burnout status, respectively. Mann-Whitney U test and Kruskal-Walls H test were used to compare intergroup differences, and Spearman correlation coefficient was used to analyze the correlation between variables. Hierarchical regression models were used to study the impacts of selected variables on fatigue status. ResultsThis study obtained 311 valid questionnaires, with a valid recovery rate of 88.86% (311/350). The physical fatigue, mental fatigue, and total fatigue scores of the survey subjects in M (P25, P75) were 3.00 (2.00, 4.00), 2.00 (1.00, 3.00), and 5.00 (4.00, 6.00), respectively. The comparison results showed that, except for smoking, there were statistically significant differences in total fatigue scores between different groups of age, marital status, number of children, educational level, service length of freight transportation, average daily working time, and average monthly income (P