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National estimates of Australian gambling prevalence: f indings from a dual‐frame omnibus survey

BACKGROUND, AIMS AND DESIGN: The increase in mobile telephone‐only households may be a source of bias for traditional landline gambling prevalence surveys. Aims were to: (1) identify Australian gambling participation and problem gambling prevalence using a dual‐frame (50% landline and 50% mobile tel...

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Autores principales: Dowling, N. A., Youssef, G. J., Jackson, A. C., Pennay, D. W., Francis, K. L., Pennay, A., Lubman, D. I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063184/
https://www.ncbi.nlm.nih.gov/pubmed/26381314
http://dx.doi.org/10.1111/add.13176
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author Dowling, N. A.
Youssef, G. J.
Jackson, A. C.
Pennay, D. W.
Francis, K. L.
Pennay, A.
Lubman, D. I.
author_facet Dowling, N. A.
Youssef, G. J.
Jackson, A. C.
Pennay, D. W.
Francis, K. L.
Pennay, A.
Lubman, D. I.
author_sort Dowling, N. A.
collection PubMed
description BACKGROUND, AIMS AND DESIGN: The increase in mobile telephone‐only households may be a source of bias for traditional landline gambling prevalence surveys. Aims were to: (1) identify Australian gambling participation and problem gambling prevalence using a dual‐frame (50% landline and 50% mobile telephone) computer‐assisted telephone interviewing methodology; (2) explore the predictors of sample frame and telephone status; and (3) explore the degree to which sample frame and telephone status moderate the relationships between respondent characteristics and problem gambling. SETTING AND PARTICIPANTS: A total of 2000 adult respondents residing in Australia were interviewed from March to April 2013. MEASUREMENTS: Participation in multiple gambling activities and Problem Gambling Severity Index (PGSI). FINDINGS: Estimates were: gambling participation [63.9%, 95% confidence interval (CI) = 61.4–66.3], problem gambling (0.4%, 95% CI = 0.2–0.8), moderate‐risk gambling (1.9%, 95% CI = 1.3–2.6) and low‐risk gambling (3.0%, 95% CI = 2.2–4.0). Relative to the landline frame, the mobile frame was more likely to gamble on horse/greyhound races [odds ratio (OR) = 1.4], casino table games (OR = 5.0), sporting events (OR = 2.2), private games (OR = 1.9) and the internet (OR = 6.5); less likely to gamble on lotteries (OR = 0.6); and more likely to gamble on five or more activities (OR = 2.4), display problem gambling (OR = 6.4) and endorse PGSI items (OR = 2.4‐6.1). Only casino table gambling (OR = 2.9) and internet gambling (OR = 3.5) independently predicted mobile frame membership. Telephone status (landline frame versus mobile dual users and mobile‐only users) displayed similar findings. Finally, sample frame and/or telephone status moderated the relationship between gender, relationship status, health and problem gambling (OR = 2.9–7.6). CONCLUSION: Given expected future increases in the mobile telephone‐only population, best practice in population gambling research should use dual frame sampling methodologies (at least 50% landline and 50% mobile telephone) for telephone interviewing.
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spelling pubmed-50631842016-10-19 National estimates of Australian gambling prevalence: f indings from a dual‐frame omnibus survey Dowling, N. A. Youssef, G. J. Jackson, A. C. Pennay, D. W. Francis, K. L. Pennay, A. Lubman, D. I. Addiction Methods and Techniques BACKGROUND, AIMS AND DESIGN: The increase in mobile telephone‐only households may be a source of bias for traditional landline gambling prevalence surveys. Aims were to: (1) identify Australian gambling participation and problem gambling prevalence using a dual‐frame (50% landline and 50% mobile telephone) computer‐assisted telephone interviewing methodology; (2) explore the predictors of sample frame and telephone status; and (3) explore the degree to which sample frame and telephone status moderate the relationships between respondent characteristics and problem gambling. SETTING AND PARTICIPANTS: A total of 2000 adult respondents residing in Australia were interviewed from March to April 2013. MEASUREMENTS: Participation in multiple gambling activities and Problem Gambling Severity Index (PGSI). FINDINGS: Estimates were: gambling participation [63.9%, 95% confidence interval (CI) = 61.4–66.3], problem gambling (0.4%, 95% CI = 0.2–0.8), moderate‐risk gambling (1.9%, 95% CI = 1.3–2.6) and low‐risk gambling (3.0%, 95% CI = 2.2–4.0). Relative to the landline frame, the mobile frame was more likely to gamble on horse/greyhound races [odds ratio (OR) = 1.4], casino table games (OR = 5.0), sporting events (OR = 2.2), private games (OR = 1.9) and the internet (OR = 6.5); less likely to gamble on lotteries (OR = 0.6); and more likely to gamble on five or more activities (OR = 2.4), display problem gambling (OR = 6.4) and endorse PGSI items (OR = 2.4‐6.1). Only casino table gambling (OR = 2.9) and internet gambling (OR = 3.5) independently predicted mobile frame membership. Telephone status (landline frame versus mobile dual users and mobile‐only users) displayed similar findings. Finally, sample frame and/or telephone status moderated the relationship between gender, relationship status, health and problem gambling (OR = 2.9–7.6). CONCLUSION: Given expected future increases in the mobile telephone‐only population, best practice in population gambling research should use dual frame sampling methodologies (at least 50% landline and 50% mobile telephone) for telephone interviewing. John Wiley and Sons Inc. 2016-03 2015-11-06 /pmc/articles/PMC5063184/ /pubmed/26381314 http://dx.doi.org/10.1111/add.13176 Text en © 2015 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Methods and Techniques
Dowling, N. A.
Youssef, G. J.
Jackson, A. C.
Pennay, D. W.
Francis, K. L.
Pennay, A.
Lubman, D. I.
National estimates of Australian gambling prevalence: f indings from a dual‐frame omnibus survey
title National estimates of Australian gambling prevalence: f indings from a dual‐frame omnibus survey
title_full National estimates of Australian gambling prevalence: f indings from a dual‐frame omnibus survey
title_fullStr National estimates of Australian gambling prevalence: f indings from a dual‐frame omnibus survey
title_full_unstemmed National estimates of Australian gambling prevalence: f indings from a dual‐frame omnibus survey
title_short National estimates of Australian gambling prevalence: f indings from a dual‐frame omnibus survey
title_sort national estimates of australian gambling prevalence: f indings from a dual‐frame omnibus survey
topic Methods and Techniques
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063184/
https://www.ncbi.nlm.nih.gov/pubmed/26381314
http://dx.doi.org/10.1111/add.13176
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