Evaluation of harmful drinking among professional drivers by direct ethanol biomarkers and its relation with...

This study aimed to evaluate the alcohol consumption among professional truck and bus drivers using direct ethanol biomarkers, and to explore its relationship with anxiety, depression, and stress.

The assessment of potential harmful drinking was conducted through the measurement of direct biomarkers: phosphatidylethanol (PEth), ethyl glucuronide (EtG), and ethyl sulfate (EtS), using dried blood spots (DBS). Additionally, self-reported data from the Alcohol Use Disorders Identification Test (AUDIT-C) were used. Emotional states, including depression, anxiety, and stress, were evaluated using the Depression, Anxiety, and Stress Scale (DASS-21).

A total of 97 drivers participated in the study, with the majority being male (96%) and identified as truck drivers (75.3%). Among them, 43.3% reported working more than 10 h daily. The majority of volunteers exhibited normal levels of stress (81.4%), anxiety (83%), and depression (86.6%). According to the AUDIT-C assessment, 30.9% were categorized as having a moderate risk, while 11.3% were deemed to be at high risk for harmful alcohol consumption behavior. Ethyl glucuronide (EtG) and ethyl sulfate (EtS) levels, indicating recent ethanol consumption, were detected in 14.4% of the drivers. In contrast, the long half-life metabolite PEth (16:0-18:1) was present in 88.7% of the volunteers. A moderate correlation (rs = 0.45, p < .01) was observed between PEth levels and AUDIT-C scores. The Receiver Operating Characteristic (ROC) curve, utilizing a PEth threshold of ≥ 59.0 ng ml^-1, displayed 78% sensitivity and 73% specificity in effectively distinguishing high risk for alcohol intake. Notably, no significant associations were found between alcohol consumption and levels of stress, depression, and anxiety.

The study findings indicate a noteworthy proportion of drivers engaging in regular alcohol consumption alongside a demanding workload. Notably, PEth measurements highlighted an underreporting within the AUDIT-C self-reports. These results lend robust support for the utilization of biomarkers in assessing alcohol consumption patterns among drivers.