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

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 for...
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Autor*in:	Hing, Nerilee [verfasserIn] Russell, Alex M.T. [verfasserIn] Black, Andrew [verfasserIn] Rockloff, Matthew [verfasserIn] Browne, Matthew [verfasserIn] Rawat, Vijay [verfasserIn] Greer, Nancy [verfasserIn] Stevens, Matthew [verfasserIn] Dowling, Nicki A. [verfasserIn] Merkouris, Stephanie [verfasserIn] King, Daniel L. [verfasserIn] Salonen, Anne H. [verfasserIn] Breen, Helen [verfasserIn] Woo, Linda [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Internet gambling Online gambling Problem gambling Gambling harm Gambling mode Risk factors

Übergeordnetes Werk:	Enthalten in: Computers in human behavior - Amsterdam [u.a.] : Elsevier Science, 1985, 132
Übergeordnetes Werk:	volume:132

DOI / URN:	10.1016/j.chb.2022.107269

Katalog-ID:	ELV007622392

Internformat


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100	1		\|a Hing, Nerilee \|e verfasserin \|0 (orcid)0000-0002-2150-9784 \|4 aut
245	1	0	\|a Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study
264		1	\|c 2022
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520			\|a 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.
650		4	\|a Internet gambling
650		4	\|a Online gambling
650		4	\|a Problem gambling
650		4	\|a Gambling harm
650		4	\|a Gambling mode
650		4	\|a Risk factors
700	1		\|a Russell, Alex M.T. \|e verfasserin \|0 (orcid)0000-0002-3685-7220 \|4 aut
700	1		\|a Black, Andrew \|e verfasserin \|0 (orcid)0000-0002-2064-2276 \|4 aut
700	1		\|a Rockloff, Matthew \|e verfasserin \|0 (orcid)0000-0002-0080-2690 \|4 aut
700	1		\|a Browne, Matthew \|e verfasserin \|4 aut
700	1		\|a Rawat, Vijay \|e verfasserin \|4 aut
700	1		\|a Greer, Nancy \|e verfasserin \|4 aut
700	1		\|a Stevens, Matthew \|e verfasserin \|0 (orcid)0000-0002-7491-7669 \|4 aut
700	1		\|a Dowling, Nicki A. \|e verfasserin \|0 (orcid)0000-0001-8592-2407 \|4 aut
700	1		\|a Merkouris, Stephanie \|e verfasserin \|0 (orcid)0000-0001-9037-6121 \|4 aut
700	1		\|a King, Daniel L. \|e verfasserin \|0 (orcid)0000-0002-1762-2581 \|4 aut
700	1		\|a Salonen, Anne H. \|e verfasserin \|4 aut
700	1		\|a Breen, Helen \|e verfasserin \|0 (orcid)0000-0002-1350-6129 \|4 aut
700	1		\|a Woo, Linda \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Computers in human behavior \|d Amsterdam [u.a.] : Elsevier Science, 1985 \|g 132 \|h Online-Ressource \|w (DE-627)319508544 \|w (DE-600)2001911-7 \|w (DE-576)259271136 \|x 0747-5632 \|7 nnns
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912			\|a GBV_ILN_31
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912			\|a GBV_ILN_40
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912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_101
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_224
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
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912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
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951			\|a AR
952			\|d 132

Indexfelder

author_variant	n h nh a m r am amr a b ab m r mr m b mb v r vr n g ng m s ms n a d na nad s m sm d l k dl dlk a h s ah ahs h b hb l w lw
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publishDate	2022
allfields	10.1016/j.chb.2022.107269 doi (DE-627)ELV007622392 (ELSEVIER)S0747-5632(22)00091-7 DE-627 ger DE-627 rda eng 004 150 300 DE-600 Hing, Nerilee verfasserin (orcid)0000-0002-2150-9784 aut Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Internet gambling Online gambling Problem gambling Gambling harm Gambling mode Risk factors Russell, Alex M.T. verfasserin (orcid)0000-0002-3685-7220 aut Black, Andrew verfasserin (orcid)0000-0002-2064-2276 aut Rockloff, Matthew verfasserin (orcid)0000-0002-0080-2690 aut Browne, Matthew verfasserin aut Rawat, Vijay verfasserin aut Greer, Nancy verfasserin aut Stevens, Matthew verfasserin (orcid)0000-0002-7491-7669 aut Dowling, Nicki A. verfasserin (orcid)0000-0001-8592-2407 aut Merkouris, Stephanie verfasserin (orcid)0000-0001-9037-6121 aut King, Daniel L. verfasserin (orcid)0000-0002-1762-2581 aut Salonen, Anne H. verfasserin aut Breen, Helen verfasserin (orcid)0000-0002-1350-6129 aut Woo, Linda verfasserin aut Enthalten in Computers in human behavior Amsterdam [u.a.] : Elsevier Science, 1985 132 Online-Ressource (DE-627)319508544 (DE-600)2001911-7 (DE-576)259271136 0747-5632 nnns volume:132 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 132
spelling	10.1016/j.chb.2022.107269 doi (DE-627)ELV007622392 (ELSEVIER)S0747-5632(22)00091-7 DE-627 ger DE-627 rda eng 004 150 300 DE-600 Hing, Nerilee verfasserin (orcid)0000-0002-2150-9784 aut Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Internet gambling Online gambling Problem gambling Gambling harm Gambling mode Risk factors Russell, Alex M.T. verfasserin (orcid)0000-0002-3685-7220 aut Black, Andrew verfasserin (orcid)0000-0002-2064-2276 aut Rockloff, Matthew verfasserin (orcid)0000-0002-0080-2690 aut Browne, Matthew verfasserin aut Rawat, Vijay verfasserin aut Greer, Nancy verfasserin aut Stevens, Matthew verfasserin (orcid)0000-0002-7491-7669 aut Dowling, Nicki A. verfasserin (orcid)0000-0001-8592-2407 aut Merkouris, Stephanie verfasserin (orcid)0000-0001-9037-6121 aut King, Daniel L. verfasserin (orcid)0000-0002-1762-2581 aut Salonen, Anne H. verfasserin aut Breen, Helen verfasserin (orcid)0000-0002-1350-6129 aut Woo, Linda verfasserin aut Enthalten in Computers in human behavior Amsterdam [u.a.] : Elsevier Science, 1985 132 Online-Ressource (DE-627)319508544 (DE-600)2001911-7 (DE-576)259271136 0747-5632 nnns volume:132 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 132
allfields_unstemmed	10.1016/j.chb.2022.107269 doi (DE-627)ELV007622392 (ELSEVIER)S0747-5632(22)00091-7 DE-627 ger DE-627 rda eng 004 150 300 DE-600 Hing, Nerilee verfasserin (orcid)0000-0002-2150-9784 aut Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Internet gambling Online gambling Problem gambling Gambling harm Gambling mode Risk factors Russell, Alex M.T. verfasserin (orcid)0000-0002-3685-7220 aut Black, Andrew verfasserin (orcid)0000-0002-2064-2276 aut Rockloff, Matthew verfasserin (orcid)0000-0002-0080-2690 aut Browne, Matthew verfasserin aut Rawat, Vijay verfasserin aut Greer, Nancy verfasserin aut Stevens, Matthew verfasserin (orcid)0000-0002-7491-7669 aut Dowling, Nicki A. verfasserin (orcid)0000-0001-8592-2407 aut Merkouris, Stephanie verfasserin (orcid)0000-0001-9037-6121 aut King, Daniel L. verfasserin (orcid)0000-0002-1762-2581 aut Salonen, Anne H. verfasserin aut Breen, Helen verfasserin (orcid)0000-0002-1350-6129 aut Woo, Linda verfasserin aut Enthalten in Computers in human behavior Amsterdam [u.a.] : Elsevier Science, 1985 132 Online-Ressource (DE-627)319508544 (DE-600)2001911-7 (DE-576)259271136 0747-5632 nnns volume:132 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 132
allfieldsGer	10.1016/j.chb.2022.107269 doi (DE-627)ELV007622392 (ELSEVIER)S0747-5632(22)00091-7 DE-627 ger DE-627 rda eng 004 150 300 DE-600 Hing, Nerilee verfasserin (orcid)0000-0002-2150-9784 aut Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Internet gambling Online gambling Problem gambling Gambling harm Gambling mode Risk factors Russell, Alex M.T. verfasserin (orcid)0000-0002-3685-7220 aut Black, Andrew verfasserin (orcid)0000-0002-2064-2276 aut Rockloff, Matthew verfasserin (orcid)0000-0002-0080-2690 aut Browne, Matthew verfasserin aut Rawat, Vijay verfasserin aut Greer, Nancy verfasserin aut Stevens, Matthew verfasserin (orcid)0000-0002-7491-7669 aut Dowling, Nicki A. verfasserin (orcid)0000-0001-8592-2407 aut Merkouris, Stephanie verfasserin (orcid)0000-0001-9037-6121 aut King, Daniel L. verfasserin (orcid)0000-0002-1762-2581 aut Salonen, Anne H. verfasserin aut Breen, Helen verfasserin (orcid)0000-0002-1350-6129 aut Woo, Linda verfasserin aut Enthalten in Computers in human behavior Amsterdam [u.a.] : Elsevier Science, 1985 132 Online-Ressource (DE-627)319508544 (DE-600)2001911-7 (DE-576)259271136 0747-5632 nnns volume:132 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 132
allfieldsSound	10.1016/j.chb.2022.107269 doi (DE-627)ELV007622392 (ELSEVIER)S0747-5632(22)00091-7 DE-627 ger DE-627 rda eng 004 150 300 DE-600 Hing, Nerilee verfasserin (orcid)0000-0002-2150-9784 aut Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Internet gambling Online gambling Problem gambling Gambling harm Gambling mode Risk factors Russell, Alex M.T. verfasserin (orcid)0000-0002-3685-7220 aut Black, Andrew verfasserin (orcid)0000-0002-2064-2276 aut Rockloff, Matthew verfasserin (orcid)0000-0002-0080-2690 aut Browne, Matthew verfasserin aut Rawat, Vijay verfasserin aut Greer, Nancy verfasserin aut Stevens, Matthew verfasserin (orcid)0000-0002-7491-7669 aut Dowling, Nicki A. verfasserin (orcid)0000-0001-8592-2407 aut Merkouris, Stephanie verfasserin (orcid)0000-0001-9037-6121 aut King, Daniel L. verfasserin (orcid)0000-0002-1762-2581 aut Salonen, Anne H. verfasserin aut Breen, Helen verfasserin (orcid)0000-0002-1350-6129 aut Woo, Linda verfasserin aut Enthalten in Computers in human behavior Amsterdam [u.a.] : Elsevier Science, 1985 132 Online-Ressource (DE-627)319508544 (DE-600)2001911-7 (DE-576)259271136 0747-5632 nnns volume:132 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 132
language	English
source	Enthalten in Computers in human behavior 132 volume:132
sourceStr	Enthalten in Computers in human behavior 132 volume:132
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Internet gambling Online gambling Problem gambling Gambling harm Gambling mode Risk factors
dewey-raw	004
isfreeaccess_bool	false
container_title	Computers in human behavior
authorswithroles_txt_mv	Hing, Nerilee @@aut@@ Russell, Alex M.T. @@aut@@ Black, Andrew @@aut@@ Rockloff, Matthew @@aut@@ Browne, Matthew @@aut@@ Rawat, Vijay @@aut@@ Greer, Nancy @@aut@@ Stevens, Matthew @@aut@@ Dowling, Nicki A. @@aut@@ Merkouris, Stephanie @@aut@@ King, Daniel L. @@aut@@ Salonen, Anne H. @@aut@@ Breen, Helen @@aut@@ Woo, Linda @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	319508544
dewey-sort	14
id	ELV007622392
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV007622392</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230524121744.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230507s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.chb.2022.107269</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV007622392</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0747-5632(22)00091-7</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="a">150</subfield><subfield code="a">300</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hing, Nerilee</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-2150-9784</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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). 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author	Hing, Nerilee
spellingShingle	Hing, Nerilee ddc 004 misc Internet gambling misc Online gambling misc Problem gambling misc Gambling harm misc Gambling mode misc Risk factors Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study
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title	Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study
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title_full	Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study
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author_browse	Hing, Nerilee Russell, Alex M.T. Black, Andrew Rockloff, Matthew Browne, Matthew Rawat, Vijay Greer, Nancy Stevens, Matthew Dowling, Nicki A. Merkouris, Stephanie King, Daniel L. Salonen, Anne H. Breen, Helen Woo, Linda
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title_sort	gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in australia: a national study
title_auth	Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study
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author2	Russell, Alex M.T. Black, Andrew Rockloff, Matthew Browne, Matthew Rawat, Vijay Greer, Nancy Stevens, Matthew Dowling, Nicki A. Merkouris, Stephanie King, Daniel L. Salonen, Anne H. Breen, Helen Woo, Linda
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up_date	2024-07-06T16:53:57.614Z
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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. 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Gambling prevalence and gambling problems amongst land-based-only, online-only and mixed-mode gamblers in Australia: A national study

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