Alcohol and other drug use by Australian workers

Insights from a nationally representative cross-sectional survey

Datos Bibliográficos

ID22945484
AutoresGianluca Di Censo (0000-0002-6512-857X, Flinders University), Kirrilly Thompson (0000-0002-2758-6537, Flinders University), Jacqueline Bowden (0000-0003-1983-8930, Flinders University)
Año2025
Volumen40
Número2
Fecha de publicación2025-03-05
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaHealth Promotion International (JOURNAL)
Identificadores de la revistaISSN: 0957-4824 • E-ISSN: 1460-2245
EditorialOxford University Press (OUP) (PUBLISHER)
DOI10.1093/heapro/daaf048
PMID40252001
OpenAlexW4409591456
IdiomaEN
Citas recibidas4
Referencias citadas34

In the Australian population, a substantial number of people consume alcohol, tobacco, and other drugs (ATODs). As most people who use ATOD are employed, the workplace is an environment through which ATOD primary and secondary preventive health interventions can be implemented. However, resource allocation can be informed by research that determines priority industries and occupations, as indicated by the prevalence of ATOD use, numbers of users, and likelihood of use (i.e. adjusted odds ratios). A secondary analysis of the 2022–23 Australian National Drug Strategy Household Survey was conducted to assess risky alcohol consumption, current smoking, and illicit drug use (past 12 months) across different industries and occupations. There were 16,281 participants for industry analyses and 17,247 participants for occupation analyses. Survey-weighted estimations of the number and prevalence of individuals who consumed ATOD were performed, followed by a series of survey-weighted logistic regression analyses to identify industries and occupations associated with increased likelihood of ATOD use. Across all substances, the industries with the highest prevalence of ATOD use were mining, construction, and accommodation and food services, while occupations with the highest estimated prevalence were technicians and trades workers and labourers. Conversely, health care and social support, along with construction, exhibited the highest estimated number of ATOD users. The adjusted regression models revealed substantial variation in the industries and occupation types associated with heightened likelihood of ATOD use. This study provides important evidence for prioritizing industries and occupations most likely to benefit from ATOD interventions.

Environmental health · Logistic regression · Mental health · Odds · Odds ratio · Population · Psychiatry · Psychological intervention · Demography · Medicine · Smoking Behavior and Cessation · Substance Abuse Treatment and Outcomes · Workplace Health and Well-being