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Identifying predictors of Australian workers' illicit substance use: A nationally representative study
Gianluca Di Censo1, Kirrilly Thompson1, Jacqueline Bowden1
1National Centre for Education and Training on Addiction (NCETA), Flinders University, Adelaide, South Australia, Australia; Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Adelaide, South Australia, Australia.
Seven percent of Australian workers engage in weekly illicit drug use, primarily cannabis. The construction industry shows high prevalence, with factors like male gender, young age, and smoking linked to increased use.
Area of Science:
- Public Health
- Occupational Health
- Drug Use Epidemiology
Background:
- Illicit substance use in the Australian workforce impacts worker health, safety, and productivity.
- Understanding prevalence and associated factors is crucial for effective workplace interventions.
Purpose of the Study:
- To determine the prevalence of weekly illicit drug use among Australian workers.
- To identify specific substances used and associated sociodemographic, health, and behavioral factors.
- To inform targeted interventions for Australian workers.
Main Methods:
- Secondary data analysis of employed participants (N=12,557) from the 2022-23 National Drug Strategy Household Survey.
- Descriptive statistics to determine prevalence and substance use patterns.
- Multivariate logistic regression to identify associated factors.
Main Results:
- Seven percent (estimated N=913,356) of Australian workers reported weekly illicit drug use.
- Cannabis was the most commonly used substance (5.35%).
- The Construction industry exhibited high prevalence (10.23%) and user numbers (N=88,142).
- Factors associated with increased use included male gender, younger age (14-24), unmarried status, chronic pain, smoking, and high-risk alcohol consumption.
Conclusions:
- Findings highlight significant illicit drug use within the Australian workforce, particularly in the Construction industry.
- Specific demographic, health, and behavioral factors are strongly associated with increased risk.
- Results provide evidence for developing targeted interventions to mitigate risks and improve workforce health and productivity.
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