164
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Perceptions of gambling in households – a case study from Norway

Pages 317-328 | Received 30 Jan 2011, Accepted 09 Oct 2011, Published online: 01 Dec 2011
 

Abstract

Drawing on a qualitative study of Norwegian households (couples and singles) with and without reported gambling problems, this article explores how household members perceive their own gambling. The research indicates that different households subscribe to different views of gambling. Whereas households without any reported gambling problems perceived gambling according to the market view, which suggests that gambling is like any other product on the market, households with reported gambling problems articulated views corresponding with a medical view, according to which gambling is seen as a dangerous realm of addiction. Religious views were also articulated, although they were less pronounced. Implications for the understanding of risk and help-seeking behaviour are discussed.

Notes

Notes

1. For a more detailed description of the technical construction of perceptions, see Borch (forthcoming1).

2. An exception was made by the previously quoted Per who said that he would start smoking cannabis when he was 70 because he had started to gamble when he was 60. By making a causal link between his problem gambling and his potential cannabis smoking, he made fun of the association between them.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 416.00 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.