Objectives. To examine the prevalence of cannabis use among US workers using data from the US Behavioral Risk Factor Surveillance System (BRFSS) during 2016 to 2020. Methods. We analyzed past 30-day cannabis use among US workers. We calculated weighted prevalence and adjusted prevalence ratios (APRs) of cannabis use for working adults by industry groups, occupation groups, and sociodemographic characteristics (e.g., sex, education, age, race/ethnicity). Results. During the 5-year survey period, the weighted prevalence of past 30-day cannabis use among adult US workers from the 15 states included in the BRFSS was 10.7%. The industry group with the highest weighted prevalence of use was accommodation and food services (20.7%), and the highest-ranking occupation group was food preparation and service (21.9%). The industry group with the highest APR was accommodation and food services (APR = 1.31; 95% confidence interval [CI] = 1.10, 1.55), and the occupation group with the highest APR was arts, design, entertainment, sports, and media (APR = 1.91; 95% CI = 1.52, 2.41). Conclusions. Cannabis use among US workers varied widely by sex, age, race, education, industry groups, and occupation groups. A more accurate understanding of this variation can help guide research, focus policy discussions, and prioritize health messaging. (Am J Public Health. 2024;114(S8):S645-S653. https://doi.org/10.2105/AJPH.2024.307788).

BACKGROUND: Young workers (aged 15-24 years) experience higher rates of job-related injury compared with workers aged 25-44 years in the United States. Young workers may have limited or no prior work experience or safety training, which can contribute to their injury risk. In 2018, Alaska had the second highest work-related fatality rate and 14th highest non-fatal injury rate in the United States. This study aimed to characterize nonfatal and fatal occupational injuries among young workers in Alaska. METHODS: To describe injury patterns among Alaska young workers from 2014-2018, we used data from four datasets: Alaska Workers' Compensation, Alaska Occupational Injury Surveillance System, Alaska Trauma Registry, and Alaska Fishermen's Fund. The datasets were merged two at a time and filtered by the worker characteristics (e.g., age and sex) and incident characteristics (e.g., date of injury). Duplicates were then manually identified between the datasets using the variables above. The injury narrative and Occupational Injury and Illness Classification System codes were used last to verify true duplicates. Descriptive analyses were performed after the duplicates were merged. RESULTS: During the 5-year study period 2014-2018, young workers experienced 20 fatal and 12,886 nonfatal injuries. Residents of Alaska comprised 85% of nonfatal and 70% of fatal injuries. The top three major occupation groups with the highest number of injuries were production (1,391, 14%), food preparation (1,225, 12%), and transportation/material moving (1,166, 11%). The most common events leading to injuries were struck by object or equipment (2,027, 21%), overexertion involving outside sources (1,385, 14%), and struck against object or equipment (905, 9%). The most common nature of injuries were sprains/strains/tears (3,024, 29%), cuts/lacerations (1,955, 19%), and bruises/contusions (1,592, 15%). CONCLUSION: Although progress has been made in reducing worker injuries, Alaskan young workers still experience injuries and fatalities frequently. Based on findings, there is a clear need for employers, researchers, public health professionals, parents, and young workers to prioritize young worker safety through an integrated approach, from education and training to adequate workplace supervision and support.

OBJECTIVE: To analyze health behaviors and conditions among maritime workers using Behavioral Risk Factor Surveillance System (BRSS). METHODS: BRFSS data from 2014-2018 were used to calculate weighted prevalence estimates and adjusted prevalence ratios (aPRs) for 10 health behaviors and conditions. Logistic regression was used to compare aPRs between maritime workers and all other U.S. workers. RESULTS: Compared to other workers, maritime workers had higher weighted prevalence estimates for six of ten health behaviors and conditions: binge drinking, smoking, obese/overweight, diabetes, cancer, and chronic obstructive pulmonary disease. Maritime workers had significantly higher aPRs for binge drinking (aPR=1.28) and smoking cigarettes (aPR = 1.39) compared to all other U.S. workers. CONCLUSIONS: This study uses BRFSS data to estimate the prevalence of adverse health conditions across maritime industries. This study can serve as the foundation for additional follow-on research.