154
Views
4
CrossRef citations to date
0
Altmetric
Research Article

Non-medical use of pharmaceutical drugs at workplace among skilled workers

, , &
Pages 658-662 | Received 01 Nov 2019, Accepted 20 Apr 2020, Published online: 28 Apr 2020
 

ABSTRACT

Background: The escalating non-medical use of pharmaceutical drugs and associated problems in Nigeria in recent times cannot be overemphasized. Certain skilled workers are more at risk of drug use due to the stressful conditions of their work.

Objective: This study investigated the prevalence and socio-demographic correlates of non-medical use of pharmaceutical drugs among hairstylists and mechanics in Osogbo, Nigeria.

Methods: A descriptive cross-sectional survey was conducted among 118 purposively selected participants aged between 18 and 45 years (M = 28.57; SD = 7.23). Data were collected with the UNODC Problem Drug Use Questionnaire and subjected to statistical analysis using the SPSS v23.

Results: Tramadol and codeine were the most common drugs used for non-medical purposes among the participants. The lifetime, past year and past month prevalence for tramadol and codeine use were 23.4%, 19.5% and 16.8%, and 20.6%, 18.0% and 13.9% respectively. Level of education (X2 = 9.46, p ≤ 0.05) and living situation (X2 = 11.28, p ≤ 0.05) significantly correlated with non-medical use of pharmaceutical drugs.

Conclusion: The prevalence of non-medical use of pharmaceutical drugs among skilled workers is high. Studies addressing factors influencing this phenomenon and associated consequences should be conducted.

Disclosure of potential conflict of interest

The authors report no conflict of interest

Log in via your institution

Log in to Taylor & Francis Online

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 683.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.