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Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study

journal contribution
posted on 2023-11-17, 05:05 authored by Nerilee HingNerilee Hing, Alexander RussellAlexander Russell, Andrew BlackAndrew Black, Matthew RockloffMatthew Rockloff, Matthew BrowneMatthew Browne, Vijay RawatVijay Rawat, Nancy Greer, M Stevens, NA Dowling, S Merkouris, DL King, AH Salonen, H Breen, L Woo
This study compared land-based-only gamblers (LBOGs), online-only gamblers (OOGs), and mixed-mode gamblers (MMGs), based on a 2019 Australian national telephone survey (N = 15,000). It examined 1) prevalence, demographics and gambling behaviours, 2) problematic gambling, 3) most harmful gambling forms, 4) gambling-related harms-to-self, and 5) risk factors for higher problem gambling severity. Results estimated that 43.1% of Australians were non-gamblers, 39.5% LBOGs, 12.8% MMGs and 4.6% OOGs. MMGs were more likely than LBOGs to be male, younger, unmarried, Australian-born, and indigenous. OOGs were more likely than MMGs to be married, university educated, born outside of Australia, speak a non-English language, and less likely to be indigenous. As hypothesised, MMGs had the highest gambling involvement, gambling problems and gambling-related harm. Relative risk of gambling problems for MMGs (5.1% problem gambling; 11.0% moderate risk gambling), exceeded that of both LBOGs (1.4%; 3.8%) and OOGs (0.7%; 4.7%). Risk factors for problematic gambling included engaging in more gambling forms, being male, single, less educated, indigenous, and speaking a non-English language. Crucially, gambling on the internet (OOGs and MMGs combined) was associated with higher problem gambling severity than land-based-only gambling (LBOGs), even after controlling for these risk factors. The findings can inform targeted public health measures.

Funding

Category 2 - Other Public Sector Grants Category

History

Volume

132

Start Page

1

End Page

10

Number of Pages

10

eISSN

1873-7692

ISSN

0747-5632

Publisher

Elsevier BV

Language

en

Peer Reviewed

  • Yes

Open Access

  • No

Acceptance Date

2022-03-11

Era Eligible

  • Yes

Journal

Computers in Human Behavior

Article Number

107269

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