Causes
Often, many things contribute to a gambling addiction, including biological, genetic and environmental factor.
Addicted gamblers may notice they feel desperate for money, get a thrill or high from gambling, seek the social status of a successful gambler, and have other mood and behavior disorders that contribute to or result from their gambling addiction.
Gambling Companies Sponsoring Sport
Interviews With Providers of Services
Structured interview schedules were developed in order to ensure consistency of questions. Questions focused around knowledge and experiences of gambling harms; approaches to identifying and assisting individuals; and signposting and referring. A range of service providers were recruited to participate in the interviews. All participants worked for organizations that deal with homelessness, drug and alcohol use, domestic abuse, and financial debt issues. All services were Third/Voluntary Sector organizations and were geographically representative of the population under investigation. Twenty individuals from 11 organizations were recruited with respondents including a CEO, an Operations officer, Counselors, Debt Advisors and Caseworkers.
4. Relief and Escape Gamblers
The National Institute on Drug Abuse reports that addictions commonly form when people engage in behaviors, like using drugs or gambling, to fulfill an emotional need. Relief and escape gamblers may only seek out gambling as a way to manage their depression, anxiety or other causes of stress.
Escape gamblers may be pretty unsuccessful at winning, though. Due to their emotional state, their decision making and judgment can be poor. Relief and escape gamblers could lose huge amounts of money in a short amount of time and feel higher stress, anxiety and depression in the long-term.
Relief and escape gamblers benefit from expanded coping skills to address their emotional needs.
Asia[edit]
- 3.42101.792 Genting Highlands, Malaysia — the only integrated casino resort in the country
- 15.49888973.8273 Goa, India — the only place in the country where gambling is legal
- 22.27114.174 Hong Kong, China — the only legal gambling is on horse racing
- 22.1667113.555 Macau, China — now the world's highest-volume gambling venue
- 1.3103.86 Singapore — has horse racing, lotteries and football (soccer) betting, as well as two casinos
Europe[edit]
- Baltic Sea ferries
- London, England
- Baden-Baden, Germany
- Monaco
- Northern Cyprus
- Sweden: Casinos in Stockholm, Gothenburg, Malmö, as well as tables and machines at nightclubs around the country, and several horse-race tracks
- Most cities in the Balkans
- Norway: Gambling is strictly regulated and mostly boils down to lotteries and sports (including horse race) betting. Gambling online on foreign sites is illegal.
Caribbean[edit]
- Paradise Island, Bahamas
Study parameters
Of the 17 publications meeting inclusion criteria, seven appeared as peer-reviewed journal articles, three were preprints and seven were online reports which did not appear to have been peer-reviewed. Table 1 provides a description of each study, and Table 2 summarizes the findings concerning the COVID-19 impact on gambling. The surveys were conducted in a range of western middle- and upper-income countries. About half were designed to be representative of the adult population (n = 9, 53%), and five of these weighted their sample based upon demographic characteristics. A number of surveys recruited the adult population of recent gamblers (n = 3, 18%) or subpopulations of gamblers – online gamblers (n = 1, 6%); land-based venue gamblers (n = 1, 6%); regular online sports bettors (n = 1, 6%). Two studies assessed special populations, including elite athletes and individuals recovered from substance use disorder. The studies most commonly utilized existing online panels or MTurk for recruitment (n = 9, 53%). Two samples used the customer databases of online gambling providers. Two samples used multiple recruitment methods, including social media, previous research participants, and participants recruited by other participants (snowball method).
Table 1 - Parameters of studies assessing COVID-19 impact on gambling
Authors/Date | Location | Sample | Recruitment | N | Peer reviewed | Assessment date | Completion rate | Design | Follow-up plan identified? | % male | PG measure | Gambling measure |
Abacus Data, 2020 [24] | Canada | Adults age 18 plus – sample weighted to population | Online panel | 1500 | No | 7–12 May 2020 | NA | Cross-sectional online survey | No | NR | NA | Frequency of online gambling before the pandemic and past month; number opening new online gambling accounts; perceived change in gambling since COVID |
Auer et al., 2020 [25▪] | Sweden, Germany, Norway, Finland | Regular online sports bettors, betting at least 5 of 10 weeks between January 1 and March 7 | All customers of online gambling operator | 5396 | Yes | 1 January to 30 April 2020 | 100% | Longitudinal behavioural data | No | NR | NA | Money wagered, daily gambling activity |
Biddle, 2020 [26] | Australia | Adults age 18 plus- sample weighted to population | Online panel | May 2020 – 3219; November 2020 – 3029; April 2020 – 1773; April 2019 NR | No | April 201; April, May, November 2020 | May to November -94.7%; April- May 2020- 54.6% | Longitudinal online survey (4 waves of Life in Australia panel) | No | Approx. 50% | PGSI | Gambling prevalence past 12 months, 11 types of gambling |
Bonny-Noach and Gold, 2020 [27] | Israel | Individuals recovered from substance use disorder | Snowball convenience sample | 113 | Yes | April 2020 | NA | Cross-sectional online survey | No | 78% | NA | Likert scale of involvement in online gambling before and after pandemic outbreak |
Brown and Hickman, 2020 [28] | Australia | Adults | Online panel i-Link | 1000 | No | 3–6 April 2020 | NA | Cross-sectional online survey | No | 49% | NA | Frequency of online gambling in past month, six months, 12 months. Six activities |
Fluharty et al., submitted [29▪] | UK | Adults, age18 plus; weighted to population | Social and traditional media, previous studies, existing networks, targeted recruitment of low income, low education, unemployed | 19,963 for first research question (32559 started the gambling module); 7026 for second research question which excluded nongamblers; 556 participants for third question who had increased gambling in week 10 compared to before lockdown. | In progress | 1) 28 May to 4 June 2020; 2) 30 July to 7 August 2020 | Approx. 27% of entire sample | Longitudinal online survey study with weekly assessments – gambling assessed as part of focus on COVID impacts | Yes | 26% unweighted, 51% weighted | NA | Frequency of gambling since lockdown (past 10-weeks) on 6 types; Perceived change overall during lockdown (assessment 1), and since prelockdown (assessment 2) |
Gainsbury et al., 2020 [30] | Australia | Adults age 18 plus; past year gamblers | Social media, previous research participants | 769 | Yes | 1–22 May 2020 | 65% | Cross-sectional online survey | No | 85.2 | PSGI | Frequency in typical month in past year and past 30 days for 17 gambling activities |
Gunstone et al., 2020 [31▪] | Great Britain | Adults, weighted to the population | Online panel | 9067 | No | October, 2019 and May, 2020 | 69% of phase 1 and 2 baseline sample | Longitudinal online survey with qualitative substudy (n = 8) | No | 48% | PGSI | Past year and past month gambling on 10 activities; gambling motivations |
Hakansson, 2020 [32] | Sweden | Adults age 18 plus - | Online panel | 2016 | yes | 24 April to 3 May 2020 | NA | Cross-sectional online survey | No | 51% | PGSI | Perceived change in gambling during COVID; overall and for 8 gambling types, gambling expenditures |
Hakannson, 2020b [33] | Sweden | Adults past year online gambler (10 plus occasions), age 18 plus | Online panel | 997 | Yes | 5–12 May 2020 | NA | Cross-sectional online survey | No | 75% | PGSI | Gambling in past 30 days and past year for 11 gambling types |
Hakansson et al., 2020 [34] | Sweden | Elite Athletes in Ice Hockey, Soccer and handball, age 15 plus | E-Mail solicitation | 327 | Yes | 20 May to 10 June 2020 | 29% [39% (soccer); 16% (ice hockey); 37% (handball)] | Cross-sectional online survey | No | 62% | PGSI | Self-assessment of change in gambling overall and sports betting specifically (Likert scale) |
Jenkinson et al., 2020 [35] | Australia | Adult past year gambler, age 18 plus | Social media, E-Mail, word of mouth | 2019 | No | 10 June to 31 July 2020 | NA | Cross-sectional online survey | No | 73% | PGSI | Frequency of gambling in past year and past 4 weeks on 18 activities |
Leonard et al., submitted [36▪] | Canada | Adults, aged 18 plus, previous gamblers | Online panel | 3439 | In progress | 14 May to 1 June 2020 | 72.2% retention rate from Pre-COVID baseline | Cross- sectional and longitudinal online survey | Yes | 50.7% (Pre-COVID baseline) | PGSI | past month gambling |
Price, 2020 [37,38] | Ontario, Canada | Past year gamblers, age 18 plus | Online panel | 2005 (including a sub-sample of 1081 online gamblers) | Yes | 21–28 April 2020 | NA | Cross-sectional online survey | Yes | 50% | PGSI | Typical and last six-week online participation; perceived influence of COVID; perceived motives for gambling |
Te Hiringa Hauora Health Promotion Agency, 2020 [39] | New Zealand | Adults, age 18 plus | Online panel | 1190 | No | 7–13 April 2020 | NA | Cross-sectional online survey | Yes | 49% | NA | Self-assessment of overall gambling change during lockdown; perceived reasons for change |
Te Hiringa Hauora Health Promotion Agency, 2020b [40] | New Zealand | Adults, age 18 plus; weighted to population | Online panel | 925 | No | 10–19 June 2020 (post lockdown) | 78% of baseline | Longitudinal online survey | Not indicated | 49% | NA | Self-assessment of change in gambling engagement online, casino, pokie, lotto and NZ TAB; self-reported worry about gambling |
Xuereb et al., submitted [41] | USA | Adults, age 18 plus, American citizens who gambled in past three months at land-based venue | Amazon MTurk | 424 | In progress | 9 April 2020 | 66% of those starting survey | Cross-sectional online survey | No | 64% | PGSI | Ever engaged in online gambling, perceived change in amount and magnitude of change, readiness to change gambling |
Table 2 - Results of studies assessing COVID-19 impact on gambling
Authors/Date | Impact on Gambling | Predictors of change | Author conclusions | Notes and limitations |
Abacus, 2020 [24] | 6% opened new online account; of previous online gamblers (24% of sample), 47% unchanged, 26% increased, and 27% decreased. | Opening online account related to younger age and previous gambling (18% of previous gamblers; 10% of age 18 to 29 versus 4% of ages 60 plus); increased gambling related to younger age. | None provided. | No discussion of results; limited description of methodology, no statistical analyses. |
Auer et al., 2020 [25▪] | Significant reductions in frequency and expenditure among sports bettors wagering in online casinos, compared to two months prior. | Highest frequency gamblers (i.e., those who reported gambling at least 9 of the 10 weeks) showed least reduction. | The findings suggest that there was a significant decrease in the amount of money wagered by sports bettors during the COVID-19 pandemic (compared with before it) and that sports bettors did not switch to playing more online casino games and that there was also a significant reduction in playing online casino games among sports bettors. | Online gambling at one company may not represent totality of individual's gambling; no demographic information available; changes after 30 April not assessed; a possibility that some accounts may have been used by more than one gambler. |
Biddle, 2020 [26] | 52.9% gambled at the start of the pandemic, compared to the pre-pandemic rate of 65.9%. By November, gambling rates had increased slightly to 58.7%, still significantly lower than the 12 months leading up to April 2019.All types of gambling decreased but largest for informal games, bingo and casino table games. Increases in November for 8 of 11 types with lottery and horse/dog racing returning to 2019 rates. PG rates decreased slightly from 2019 to November 2020 | Largest prevalence decline for ages 35–45 and for most disadvantaged; November increases higher for men versus women; oldest and youngest cohorts and less disadvantaged; Regional variations reported.PG declines greater for females, and better educated. Gambling during the pandemic was related to a positive change in life satisfaction.As lockdown restrictions eased, individuals of ethnic minority backgrounds, who were current smokers, and with lower education more likely to continue gambling at heightened rates. | Levels of gambling declined significantly and substantially between April 2019 and May 2020 around the height of COVID-19 restrictions, and then increased again between May and November 2020 when restrictions began to be eased. Gambling rates in November 2020 were still, however, significantly below those observed prior to the pandemic. Furthermore, there was a decline in problem gambling not only for the entire population, but also within the population who continued to gamble over the period. Declines in opportunities to gamble without any problems appear to have led to a reduction in life satisfaction over the period. However, reductions in gambling problems appear to have counterbalanced these effects | Confusing description of methodology; individual level change not examined. |
Bonny-Noach and Gold, 2020 [27] | Proportion with great involvement in online gambling changes from 2% before to 11% after pandemic breakout. | Individuals addicted to drugs other than cannabis most likely to increase online gambling. | Substitution of drug addiction to other addictive behaviours such as gambling may increase when healthy activities are restricted. | Small sample, few online gambling participants (N = 16), unvalidated gambling measure. |
Brown and Hickman, 2020 [28] | 11% increased and 14% decreased participation in at least one type of online gambling compared with two months prior. | Men under age 30 in full-time employment most likely to increase online gambling; betting on sports in Australia showed largest increase. | While this survey did not examine the implications of increased online gambling, the negative social impacts of gambling at a time of increased stress for many households should not be underestimated. | Small sample; no measures of consequences of increased gambling; no measure of overall online and total gambling. Most people reported both increases and decreases on different activities. |
Fluharty et al., submitted [29▪] | 79% of gamblers reported no change during lockdown, 11% decreased, and 9% increased. Among those increasing their gambling during lockdown, 48% maintained or further increased (14.1% continuing with heightened frequency of gambling following the easing of lockdown restrictions) as lockdown eased. | Increased gambling frequency associated with employment, boredom, generalized anxiety disorder, major depression; men and current smokers less likely to increase gambling. Maintaining or further increasing during lockdown ease associated with ethnic background, lower education, nonstudent status, and smoking. | This analysis has indicated some groups who are at risk for turning to and/or increasing rates of gambling when met with increased stressors. These risk groups may be targeted for interventions, by providing information of financial and debt support resources to lower the risk of turning towards gambling. Therefore, these specific groups may benefit from alternative opportunities to relieve their boredom that may provide more beneficial (and in turn, less harmful) coping behaviours, such as social support or connecting people digitally or through the use of community programmes such as Mutual Aid or schemes such as social prescribing. As lockdown restrictions eased, individuals of ethnic minority backgrounds, who were current smokers, and with lower education attainment were more likely to continue gambling at heightened rates. | There was a slightly greater risk of dropout amongst individuals engaging in higher levels of gambling and it is therefore possible that the sampling was selective towards infrequent or nongamblers; no measure of problematic gambling. |
Gainsbury et al., 2020 [30] | Decreased frequency and expenditure overall and online, compared to typical month in past year. 13.6% reported increase. | Moderate risk gambling associated with increased gambling frequency (not PG or other categories);Psychological distress not related to change. | Most individuals reduced their overall gambling during the COVID-19 shutdown. However, a small but notable proportion of people at risk of gambling harm increased their gambling, likely shifting to available activities when alternative gambling activities were restricted. This suggests that, for most individuals, gambling is strongly related to the availability of specific activities. | Small sample of convenience with PG and online gamblers over-represented. |
Gunstone et al., 2020 [31▪] | 39% reported participating in any activity in the last four weeks in May 2020, compared with 49% in October 2019; reductions in all activities, in particular sports betting, increase in online gambling (2.3 vs 1.5%); proportion reporting increased spend is only 4%; main reason for increase was boredom, and main reason for decrease was lack of desire; increase in gambling for fun, escape boredom, relax decrease in gambling to make money, to miss opportunities to win; Small decrease in PGSI some risk (1+). | Online gambling increased for men but not women and was related to higher PG. | Most gamblers said that compared to normal, they gambled about the same amount or less during lockdown. For many gamblers this decrease was situational, with many attributing the decrease in their gambling frequency to liking different types of gambling which were not possible during lockdown e.g. sports betting or preferring to physically gamble in betting shops. Therefore, the decrease will not necessarily be sustained. A much smaller proportion of gamblers reported gambling more during lockdown, and among this group, most said this was due to relieving boredom or for something to do, followed by the prospect of winning big money. Repeating a study of this nature in the future could give insight into the impact of easing lockdown restrictions on gambling behaviour or explore the impact of stricter restrictions (e.g., a potential second lockdown). | Sampling from two overlapping baseline surveys is confusing; Attributing change to COVID is difficult. |
Hakansson, 2020 [32] | 38% nongamblers, 51% reported no change in gambling, 4% reported increased gambling and 7% decreased gambling. | Increased gambling associated with increased gambling problem severity and alcohol consumption; more than half of respondents reporting increased gambling were moderate-risk or problem gamblers (25% of this group had a history of self-exclusion). | While the majority of respondents did not report altered gambling habits, and the proportion reporting an increase was smaller than the proportion reporting a decrease, a significant minority of respondents still reported increasing their gambling, and a consistent finding—both for overall gambling and for specific gambling types—was that this sub-group had markedly higher gambling problems. Those increasing their gambling had increased alcohol use during the pandemic, even when controlling for several other potential risk factors. The minority of respondents reporting an increase of other gambling in response to the rapid shortfall of sports events had very high rates of gambling problems. | Nonrepresentative sample. |
Hakannson, 2020 [33] | Percentage of past-year gamblers who gambled during the past 30 days (i.e., during lockdown), was the highest for online horse betting (90%), online casino (81%), online poker (74%) and online bingo (72%), as well as for the less frequent gambling within video games (86%), but lower for sports live betting (58%), nonlive sports betting (56%), electronic gambling machines (46%), land-based horse gambling (42%), and land-based casino games (26%). | Moderate risk or PGs were more likely to continue gambling for most types, except online horse bettors. Some gender differences. Those reporting sports betting even during a period with decreased sports betting occasions proved to have markedly higher gambling problems and indebtedness, not employment status. | COVID-19 may alter gambling, and online gamblers who maintain or initiate gambling types theoretically reduced by the crisis may represent a group at particular risk. | Market survey sample of frequent gamblers. Online gambling is typical of problem gamblers in Sweden so may not be generalizable. |
Hakansson et al., 2020 [34] | 12% gamble less; 33% unchanged, and 7% more. | Gambling change unrelated to depression, anxiety, alcohol increase, sex, other covariates, but increase related to PG severity. | A small number of respondents reported increased gambling behavior during the crisis and few reported an increase in specific other gambling types in response to the decrease in traditional sports betting during the confinement. Among those who did report an increase in gambling, rates of gambling problems were high. Individuals who increase their gambling behavior in response to an overall crisis such as the COVID-19 pandemic may need specific preventive and supporting interventions and may be a group with a more pronounced change in life style habits during the crisis than others. | Convenience sample and low response rate limits representativeness. |
Jenkinson et al., 2020 [35] | Proportion of people gambling decreased or stayed stable across activities. Mean number of activities decreased from 2.9 to 2.5. Overall frequency increased (weekly gambling from 79% to 83%). Median expenditure not statistically different. Online gambling increased from 62% to 78%. 30% signed up for new online account during COVID, 5% for the first time. | Males and young people (18–34) more likely to increase their gambling frequency, monthly spending, to sign up for new online account and be at risk of gambling-related harm. | Almost 1 in 3 survey participants signed up for a new online betting account during COVID-19, and 1 in 20 started gambling online; Even with limited access to venues, overall, participants gambled more often during COVID-19. The proportion who gambled 4 or more times a week increased from 23% to 32%. On average, before COVID-19, 62% of participants’ gambling was conducted online; during COVID-19, this increased to 78%. | Survey occurred during the period of re-opening. Nonrepresentative sample with high PGSI scores. |
Leonard et al., submitted [36▪] | Nearly one-third of gamblers reported ceasing gambling altogether during the lockdown. For the continuing gamblers, quantitative data indicated significant decreases in gambling frequency, time spent in gambling sessions, money spent, and the number of game types played. | Gambling platform was the only gambling engagement metric where increases were found with ∼17% of the gambling sample migrating to online gambling during the lockdown. | Nearly one-third of gamblers reported ceasing gambling altogether. For the continuing gamblers, quantitative data indicated significant decreases in gambling frequency, time spent in gambling sessions, money spent, and the number of game types played. Gambling online – among other biopsychosocial factors – was a significant predictor for classification as a problem gambler during the lockdown. | There were Pre-COVID and COVID-Lockdown data collection periods; study was a supplement to a longitudinal study of gambling; the current study was uniquely positioned to examine pandemic related changes in gambling for two reasons. First, this study had quantifiable baseline gambling behavioral data that was collected from this sample six month prior to the lockdown in Canada, and second, data collection for the lockdown period began one month after lockdown was instituted in all provinces and concluded prior to any land-based establishment re-opening; sample was not necessarily representative of all gamblers as there was significant attrition between the first assessment (not included in these analyses) and the second assessment (this Pre-COVID sample). |
Price, 2020 [37,38] | 54% gambled online compared with 23% typically. 32% of online gamblers indicated that COVID-19 influenced the decision to gamble; COVID-related financial impacts and higher anxiety and depression were associated with increased likelihood of online gambling; COVID-related employment impacts associated with PG and gambling motives; perceived or actual change in gambling not reported. | NR | Broadly speaking, this research has reaffirmed relationships articulated in past research on risky online gambling and comorbidities, including mental health concerns and substance use. | Gambling behaviour questions not clearly described or reported. Analyses focused on comparing online to other gamblers and not migration. |
Te Hiringa Hauora Health Promotion Agency, 2020 [39] | 39% reported gambling, 9% more than usual, 41% same, 50% less. Of these, 23% do not gamble online, 8% for first time, 12% increase, 33% same as usual, and 24% less than usual. Most common reason for increase in online gambling was being unable to gamble in normal location. Most common reason for decrease was financial; 17% concerned about their gambling since the lockdown. | Younger people 18–24, and Maori more likely to report increase. Pacifika and ages 25–49 more likely to have started worrying about their gambling since lockdown. | NR | Market survey sample. |
Te Hiringa Hauora Health Promotion Agency, 2020 [40] | Fewer report all types of gambling compared to prelockdown; proportion worrying about their gambling decreased to 11% compared to 17% during lockdown. | NR | Gambling levels are reported to be less than prelockdown across all gambling types, including online gambling. | Market survey sample; methodological details are limited; longitudinal analyses limited. |
Xuereb et al., submitted [41] | Overall, online gambling decreased following the onset of COVID-19 casino closures, while alcohol, tobacco, and cannabis use increased. Among gamblers who reported no online gambling prior to COVID-19, 15% reported migrating to online gambling. | Migrators to online casino gambling from land-based casinos had higher problem gambling and lower income than gamblers who had never gambled online. Migration not associated with readiness to change. | The response to COVID-19 is heterogeneous; the majority of gamblers reported reducing their online gambling but increased their substance use. A minority of vulnerable gamblers substituted land-based casino gambling with online casino gambling. Because these individuals are characterized by problem gambling symptoms and lower income, they may be considered a vulnerable group. These results are in line with previous studies that found that although only a minority of people will engage in addiction substitution, those who do are likely to be vulnerable to problematic engagement in addictions. | Nonrepresentative sample with high problem severity. Measures of perceived change only. |
All 17 were online surveys. The majority was cross-sectional assessments (n = 11, 65%) and remainder was longitudinal in that they had collected earlier gambling data for participants (n = 6, 35%). Most of the cross-sectional survey reports were silent on whether a subsequent follow-up of participants was planned. All the surveys provided specific data collection dates that aligned with the first lockdown period occurring from March to May 2020. Surveys in New Zealand [40] and Australia [26] also reported the results of a follow-up assessment to describe changes post lockdown. The Fluharty study in Great Britain [29▪] reported an assessment conducted in early August, which was described as an easing of lockdown.
Gambling behaviour data were collected in a variety of ways in the available surveys. One study uniquely used gambling expenditure data from an online provider. This type of behavioural data is more accurate than retrospective self-report, although it is limited in that it does not necessarily reflect all of an individual's informal gambling or gambling with other providers. All other studies relied on self-report. A number of surveys assessed gambling engagement for each type of gambling available locally using structured questions. Reports assessing recent gambling have previously been found to have good reliability [42]. A number of the cross-sectional studies used parallel questions to obtain a description of the individual's typical gambling in the time prior (e.g., 6, 12 months) to the pandemic. These reports are more subject to memory and other biases. Three longitudinal studies had self-reports from earlier time periods using the same assessment questions and, as such, assessed changes over time.
Finally, a number of surveys assessed the perception of change in gambling versus assessing actual change (e.g., did your gambling increase, decrease or stay the same?). These questions are likely to be the least reliable and valid of the options as memory is possibly influenced by popular assumptions about the impact of the pandemic. Ten of the 17 studies incorporated a measure of problem gambling severity into their survey, in all cases the Problem Gambling Severity Index [43], which is widely used in prevalence studies.
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