IDEAS home Printed from https://ideas.repec.org/a/taf/conmgt/v32y2014i11p1106-1129.html
   My bibliography  Save this article

An integrated model of HIV/AIDS testing behaviour in the construction industry

Author

Listed:
  • Paul Anthony Bowen
  • Rajen Govender
  • Peter J. Edwards
  • Keith Cattell

Abstract

The South African construction industry is one of the economic sectors most adversely affected by the HIV/AIDS pandemic. Prevalence rates exceed those of most other sectors. Little is known about the antibody testing behaviour of construction workers, and the determinants thereof. A field-administered questionnaire survey, using an item catalogue based on similar surveys, gathered data from 512 site-based construction employees in the Western Cape, South Africa. An integrated hypothesized conceptual model of testing behaviour, derived from the literature, was proposed as a starting point for data analysis. This model comprising demographic factors, lifestyle risk and condom use, alcohol consumption, drug use, knowledge about HIV/AIDS, prejudice towards HIV+ persons, and attitudinal fear of being tested, was used to explain testing behaviour. Bivariate analysis, regression modelling, and structural equation modelling were then used to test the conceptual model. A revised model was proposed. The findings indicate that: (1) employment type, alcohol consumption, drug use, and HIV/AIDS knowledge are the terminal predictors of testing behaviour; (2) knowledge about the disease is determined by education level and ethnicity; (3) age, gender, ethnicity and education behave as significant predictors of alcohol consumption; (4) drug use is predicted by employment type, education and alcohol consumption (marginally); and (5) the interrelationship between knowledge, prejudice, and fear of being tested is nuanced and complex. In strategies for positively influencing employee testing behaviour, employers should first ensure that effective communication is established with workers in all employment categories. Interventions relating to alcohol consumption and drug use by employees need particular attention. Existing peer educator training, and awareness campaign media, should be particularly sensitive to ethnic and cultural values that are likely to influence HIV/AIDS testing behaviour.

Suggested Citation

  • Paul Anthony Bowen & Rajen Govender & Peter J. Edwards & Keith Cattell, 2014. "An integrated model of HIV/AIDS testing behaviour in the construction industry," Construction Management and Economics, Taylor & Francis Journals, vol. 32(11), pages 1106-1129, November.
    • Handle: RePEc:taf:conmgt:v:32:y:2014:i:11:p:1106-1129
    DOI: 10.1080/01446193.2014.958509
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01446193.2014.958509
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01446193.2014.958509?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sarah Somerset & Catrin Evans & Holly Blake, 2021. "Accessing Voluntary HIV Testing in the Construction Industry: A Qualitative Analysis of Employee Interviews from the Test@Work Study," IJERPH, MDPI, vol. 18(8), pages 1-14, April.
    2. Matthew Middleton & Sarah Somerset & Catrin Evans & Holly Blake, 2020. "Test@Work Texts: Mobile Phone Messaging to Increase Awareness of HIV and HIV Testing in UK Construction Employees during the COVID-19 Pandemic," IJERPH, MDPI, vol. 17(21), pages 1-23, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:conmgt:v:32:y:2014:i:11:p:1106-1129. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RCME20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.