Modelling vulnerability to gambling related harm: How disadvantage predicts gambling losses Rintoul, Angela C., Livingstone, Charles, Mellor, Andrew P. and Jolley, Damien 2013, Modelling vulnerability to gambling related harm: How disadvantage predicts gambling losses, Addiction Research and Theory, vol. 21, no. 4, pp. 329-338, doi: 10.3109/16066359.2012.727507. Attached Files Name Description MIMEType Size Downloads Title Modelling vulnerability to gambling related harm: How disadvantage predicts gambling losses Author(s) Rintoul, Angela C. orcid.org/0000-0003-4159-8814 Livingstone, Charles Mellor, Andrew P. Jolley, Damien Journal name Addiction Research and Theory Volume number 21 Issue number 4 Start page 329 End page 338 Total pages 10 Publisher Taylor & Francis Place of publication Abingdon, Eng. Publication date 2013-06-17 ISSN 1606-6359 1476-7392 Keyword(s) Science & Technology Social Sciences Life Sciences & Biomedicine Substance Abuse Social Issues Gambling EGM slots socioeconomic disadvantage public health policy GIS HEALTH OPPORTUNITIES Language eng DOI 10.3109/16066359.2012.727507 Indigenous content off Field of Research 1117 Public Health and Health Services 1701 Psychology HERDC Research category C1.1 Refereed article in a scholarly journal Copyright notice ©2013, Informa UK Persistent URL http://hdl.handle.net/10536/DRO/DU:30139158 Document type: Journal Article Collections: Faculty of Health School of Health and Social Development Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 16 Jun 2020, 15:46:51 EST Wed, 17 Jun 2020, 05:01:00 EST Wed, 17 Jun 2020, 08:02:26 EST Sat, 27 Jun 2020, 02:31:00 EST Wed, 21 Oct 2020, 14:52:07 EST Wed, 21 Oct 2020, 14:53:02 EST Wed, 21 Oct 2020, 14:56:10 EST Wed, 21 Oct 2020, 15:02:04 EST Filtered Full Citation counts:   Cited 43 times in TR Web of Science Cited 46 times in Scopus Search Google Scholar Access Statistics: 55 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Tue, 16 Jun 2020, 15:46:51 EST

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