Changes of Gambling Patterns during COVID-19 in Sweden, and Potential for Preventive Policy Changes. A Second Look Nine Months into the Pandemic
Abstract
:1. Introduction
2. Materials and Methods
2.1. Setting
2.2. Procedures
2.3. Participants
2.4. Measures
- The 9-item survey tool Problem Gambling Severity Index (PGSI [26]). The PGSI is a well-established instrument for the measure of gambling problems in different levels of severity, and has been used also in previous online surveys in the present setting [15,16,24]. A Cronbach-alpha of the instrument of 0.77 has been reported [27].
- Dichotomous questions about past-year use of each type of gambling (online casino, online sport betting, land-based sports betting, online horse betting, land-based horse betting, online lotteries, land-based lotteries, online poker, land-based electronic gambling machines, online bingo). Gambling types included were the ones typically occurring in previous online surveys in the same setting [15,16,24].
- Questions about whether participants perceived that during the pandemic, they had changed the amount of time spent at home (much more time, slightly more time, unchanged, or less time at home), their alcohol consumption (increased, decreased, unchanged, or does not drink alcohol, neither now nor prior to the pandemic), and their gambling (increased, decreased, unchanged, or does not gamble, neither now nor prior to the pandemic). Questions were asked about how each gambling type (online casino, online sport betting, land-based sports betting, online horse betting, land-based horse betting, online lotteries, land-based lotteries, land-based electronic gambling machines) had changed during the pandemic (increased, decreased, unchanged, does not use this type of gambling). All these items were worded in the same way as in the previous study [15].
- History of self-exclusion from gambling in a nationwide self-exclusion service including all licensed gambling types, available since 1 January 2019 (questions derived from a previous study in the same setting [24]).
- Psychological distress measured with the Kessler-6 [28]. This scale includes six items describing psychological symptoms of the past six months, with response alternatives ranging from ‘never’ to ‘all the time’, and numbered from 0 to 4, with a total possible score of 24. As in the previous study, five points or more was considered to represent at least moderate psychological distress [15]. The Chronbach-alpha of the K6 instrument has been reported to be 0.89 [29].
- Sociodemographic variables (age in age groups, gender, income in intervals, living conditions, and occupation).
- If an individual responded that gambling had increased, or decreased, a following question was asked about why (because of changed gambling opportunities in the market, because I am feeling psychologically worse during COVID-19, because of a changed everyday life in COVID-19, for financial reasons because I need to make more money or cannot afford gambling, or other). Response options listed in the survey were—due to the novelty of the research topic—not derived from a particular source, but inspired from the current debate and from the clinical settings [25] to which the authors are affiliated.
- A brief description of the current temporary gambling legislation during the COVID-19 [20], and questions about whether the respondent had heard about this, and whether she/he perceived that her/his gambling had changed because of it (decreased, increased, unchanged, does not gamble on these gambling types, and do not know). In addition, one question assessed whether the respondent had used deposit limits or time limits for the concerned gambling types since these regulations were introduced.
- Individuals who reported a history of self-exclusion were asked with a following question about the longest time period chosen for self-exclusion (1, 3, 6, or 12 months [24]).
- Among the questions about gambling habits during COVID-19, land-based casino gambling was omitted, as this gambling type was shown to be reduced by considerably more respondents than those who had increased it in the previous survey [15], and most likely due to the fact that land-based casinos were still closed during the study period [17].
2.5. Ethical Considerations
2.6. Statistical Methods
3. Results
3.1. Gambling Data and COVID-19-Related Effects on Gambling Behavior
3.2. Initiation of New Gambling Types during the COVID-19 Pandemic
3.3. Awareness and Experience of COVID-19-Related Gambling Regulations
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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n (%) | |
---|---|
Age groups | |
- 18–24 years | 142 (7) |
- 25–29 years | 211 (10) |
- 30–39 years | 361 (18) |
- 40–49 years | 425 (21) |
- 50–64 years | 427 (21) |
- 65 years and above | 463 (23) |
Female gender | 1051 (52) |
Living conditions | |
- Alone without children | 519 (26) |
- With partner, no children | 734 (36) |
- With partner and children | 575 (28) |
- Living alone with children | 115 (6) |
- Living with parents | 86 (4) |
Monthly income | |
- SEK <10,000 | 199 (10) |
- SEK 10,000–15,000 | 223 (11) |
- SEK 15,000–20,000 | 201 (10) |
- SEK 20,000–25,000 | 232 (11) |
- SEK 25,000–30,000 | 315 (16) |
- SEK 30,000–35,000 | 279 (14) |
- SEK 35,000–40,000 | 211 (10) |
- SEK 40,000–45,000 | 135 (7) |
- SEK 45,000–50,000 | 82 (4) |
- SEK >50,000 | 152 (7) |
Occupation | |
- Working | 1129 (56) |
- Studying | 169 (8) |
- Retired | 500 (25) |
- Job-seeking | 105 (5) |
- Sick-leave | 59 (3) |
- Short-term pandemic-related unemployment benefit | 15 (1) |
- Other | 52 (3) |
Psychological distress | |
- Kessler-6 score (median, range, inter-quartile range) | 4 (0–24, 1–9) * |
- Moderate psychological distress (cut-off 5 or above) | 991 (49) * |
Past-year gambling, any | |
- online casino | 191 (9) |
- land-based casino | 87 (4) |
- sports betting online | 417 (21) |
- sports betting, land-based | 238 (12) |
- horse betting, online | 418 (21) |
- horse betting, land-based | 225 (11) |
- poker online | 110 (5) |
- electronic gambling machines, land-based | 97 (5) |
- bingo online | 166 (8) |
Problem gambling severity | |
- no risk | 1686 (83) |
- low risk | 139 (7) |
- moderate risk | 94 (5) |
- problem gambling | 110 (5) |
Increased, n (%) | Decreased, n (%) | Unaffected, n (%) | Do Not Gamble on This Type, n (%) | |
---|---|---|---|---|
Online casino | 40 (2) | 58 (3) | 225 (11) | 1706 (84) |
Sports betting online | 54 (3) | 98 (5) | 412 (20) | 1465 (72) |
Sports betting land-based | 26 (1) | 149 (7) | 408 (20) | 1446 (71) |
Horse betting online | 72 (4) | 91 (4) | 432 (21) | 1434 (71) |
Horse betting land-based | 24 (1) | 163 (8) | 231 (11) | 1611 (79) |
Lotteries online | 85 (4) | 91 (4) | 568 (28) | 1285 (63) |
Lotteries land-based | 70 (3) | 272 (13) | 1030 (51) | 657 (32) |
Electronic gambling machines, land-based | 29 (1) | 117 (6) | 246 (12) | 1637 (81) |
Increased Gambling (n = 114), n (%) | Did Not Increase Gambling (Decreased, Unchanged, or No Gambling, n = 1915), n (%) | p Value | |
---|---|---|---|
Age groups
| 16 (14) 32 (28) 20 (18) 19 (17) 15 (13) 12 (11) | 126 (7) 179 (9) 341 (18) 406 (21) 412 (22) 451 (24) | <0.001 |
Female gender | 56 (49) | 995 (52) | 0.56 |
Living conditions
| 32 (28) | 487 (25) | 0.53 |
Monthly income
| 18 (16) 20 (18) 4 (4) 13 (11) 20 (18) 18 (16) 4 (4) 9 (8) 4 (4) 4 (4) | 181 (9) 203 (11) 197 (10) 219 (11) 295 (15) 261 (14) 207 (11) 126 (7) 78 (4) 148 (8) | 0.01 |
Irregular occupation | 21 (18) | 158 (8) | <0.001 |
Psychological distress
| 99 (87) | 892 (47) | <0.001 |
Past-year gambling, any
| 51 (45) 20 (18) 57 (50) 36 (32) 59 (52) 35 (31) 28 (25) 17 (15) 40 (35) | 140 (7) 67 (3) 360 (19) 202 (11 359 (19) 190 (10) 82 (4) 80 (4) 126 (7) | <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 |
Moderate-risk/problem gambling | 71 (62) | 133 (7) | <0.001 |
Severity
| 31 (27) 12 (11) 31 (27) 40 (35) | 1655 (86) 127 (7) 63 (3) 70 (4) | <0.001 * |
Ever self-excluded | 26 (23) | 38 (2) | <0.001 |
Time at home
| 0 (0) 32 (28) 80 (70) 2 (2) | 13 (1) 692 (36) 915 (48) 295 (15) | <0.001 ** |
Alcohol consumption
| 20 (18) 34 (30) 47 (41) 13 (11) | 321 (17) 152 (8) 1116 (58) 326 (17) | <0.001 *** |
Whole Sample with Complete Data (n = 1996) | OR | 95% Confidence Interval | Whole Sample after Excluding Individuals Who Denied Gambling Now and Prior to COVID-19 (n = 1281). OR | 95% Confidence Interval |
---|---|---|---|---|
Gambling severity (increasing level) | 2.78 | 2.27–3.40 * | 2.25 | 1.83–2.78 * |
Older age | 1.07 | 0.91–1.26 | 1.01 | 0.86–1.20 |
Irregular occupation | 1.53 | 0.82–2.84 | 1.34 | 0.71–2.50 |
Income | 0.99 | 0.90–1.09 | 0.96 | 0.88-1.06 |
Increased alcohol consumption | 2.92 | 1.71–4.98 * | 2.97 | 1.72–5.12 * |
Ever self-excluded | 1.37 | 0.68–2.79 | 1.31 | 0.64–2.67 |
Psychological distress | 3.38 | 1.83–6.23 * | 3.57 | 1.93–6.58 * |
Reasons for increasing gambling during COVID-19 (n = 114)
| 21 (18) 30 (26) 67 (59) 29 (25) 15 (13) |
Reasons for decreasing gambling during COVID-19 (n = 89)
| 14 (16) 9 (10) 39 (44) 27 (30) 24 (27) |
Aware of COVID-19-Related Gambling Legislation (n = 614), n (%) | Unaware of COVID-19-Related Gambling Legislation (n = 1415), n (%) | p Value | |
---|---|---|---|
Age groups
| 59 (10) 54 (9) 83 (14) 101 (16) 119 (19) 198 (32) | 83 (6) 157 (11) 278 (20) 324 (23) 308 (22) 265 (19) | 0.001 * |
Female gender | 250 (41) | 801 (57) | <0.001 |
Living conditions
| 165 (27) | 354 (25) | 0.38 |
Monthly income
| 54 (9) 70 (11) 59 (10) 88 (14) 81 (13) 79 (13) 65 (11) 45 (7) 28 (5) 45 (7) | 145 (10) 153 (11) 142 (10) 144 (10) 234 (17) 200 (14) 146 (10) 90 (6) 54 (4) 107 (8) | 0.71 * |
Irregular occupation | 53 (9) | 126 (9) | 0.84 |
Psychological distress **
| 285 (47) | 706 (50) | 0.15 |
Past-year gambling, any
| 119 (19) 46 (7) 203 (33) 109 (18) 193 (31) 90 (15) 70 (11) 48 (8) 86 (14) | 72 (5) 41 (3) 214 (15) 129 (9) 225 (16) 135 (10) 40 (3) 49 (3) 80 (6) | <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 |
Moderate-risk/problem gambling | 115 (19) | 89 (6) | <0.001 |
Ever self-excluded | 50 (8) | 14 (1) | <0.001 |
Increased gambling during COVID-19 | 57 (9) | 57 (4) | <0.001 |
Nongambler (reported no gambling now or previously, in the COVID-19 and gambling item) | 151 (25) | 577 (41) | <0.001 |
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Håkansson, A.; Widinghoff, C. Changes of Gambling Patterns during COVID-19 in Sweden, and Potential for Preventive Policy Changes. A Second Look Nine Months into the Pandemic. Int. J. Environ. Res. Public Health 2021, 18, 2342. https://doi.org/10.3390/ijerph18052342
Håkansson A, Widinghoff C. Changes of Gambling Patterns during COVID-19 in Sweden, and Potential for Preventive Policy Changes. A Second Look Nine Months into the Pandemic. International Journal of Environmental Research and Public Health. 2021; 18(5):2342. https://doi.org/10.3390/ijerph18052342
Chicago/Turabian StyleHåkansson, Anders, and Carolina Widinghoff. 2021. "Changes of Gambling Patterns during COVID-19 in Sweden, and Potential for Preventive Policy Changes. A Second Look Nine Months into the Pandemic" International Journal of Environmental Research and Public Health 18, no. 5: 2342. https://doi.org/10.3390/ijerph18052342
APA StyleHåkansson, A., & Widinghoff, C. (2021). Changes of Gambling Patterns during COVID-19 in Sweden, and Potential for Preventive Policy Changes. A Second Look Nine Months into the Pandemic. International Journal of Environmental Research and Public Health, 18(5), 2342. https://doi.org/10.3390/ijerph18052342