Gambling-related harms attributable to lotteries products

Booth, Leon; Thomas, Samantha; Moodie, Rob; Peeters, Anna; White, Victoria; Pierce, Hannah; Anderson, Annie S.; Pettigrew, Simone

doi:10.1016/j.addbeh.2020.106472

Cited by 16 publications

(8 citation statements)

References 33 publications

(55 reference statements)

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“…Some evidence shows this lottery play and scratchcard use comes with a degree of risk. Younger lottery-only players are more likely to report problems as a result of their use of lottery play compared to older players 2 . Early scratchcard play also poses long term risks, where playing scratchcards when 16 or 17 predicts adult gambling problems 9 .…”

Section: Rationale and Literature Reviewmentioning

confidence: 95%

Examining lottery play and risk among young people in Great Britain

Stark¹,

Wardle²,

Burdett³

2021

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Purpose & Significance: Despite the popularity of lottery and scratchcards and some evidence of gambling problems among players, limited research focuses on the risks of lottery and scratchcard play and predictors of problems, especially among young people. The purpose of this project is to examine whether lottery and scratchcard participation is related to gambling problems among 16-24 year olds in Great Britain and whether general and mental health and gambling behaviours explain this relationship. Methodology: Samples of 16-24 year olds were pooled from the 2012, 2015, and 2016 Gambling in England and Scotland: Combined Data from the Health Survey for England and the Scottish Health Survey (n=3,454). Bivariate analyses and Firth method logistic regression were used to examine the relationship between past-year lottery and scratchcard participation and gambling problems, assessing the attenuating role of mental wellbeing, mental health disorders, self-assessed general health, and playing other games in past year. Results: There is a significant association between scratchcard play and gambling problems. The association somewhat attenuated but remained significant after taking into account wellbeing, mental health disorders, general health, and engagement in other gambling activities. Findings also show that gambling problems are further predicted by age (20-24 years), gender (male), lower wellbeing, and playing any other gambling games. Implications: Results are valuable for informing youth-focused education, decisions around the legal age for National Lottery products, and the development of safer gambling initiatives for high risk groups and behaviours, such as scratchcard play.

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Section: Rationale and Literature Reviewmentioning

confidence: 95%

Examining lottery play and risk among young people in Great Britain

Stark¹,

Wardle²,

Burdett³

2021

View full text Add to dashboard Cite

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“…These comments were used when excluding studies from the research, for example MacLaren 34 discussed the CPGI and PGSI, but did not list actual speci c harms, and Booth et al 35 measured harm using only the PGSI rather than actual listed harms, so these studies were excluded. We also considered these criticisms of harm labelling when extracting data from studies, excluding behaviours such as chasing losses.…”

Section: Data Analysis Planmentioning

confidence: 99%

Is There a Health Inequality in Gambling Related Harms? A Systematic Review

Raybould

Larkin

Tunney

2021

Preprint

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Background: Here we present a systematic review of the existing research into gambling harms, in order to determine whether there are differences in the presentation of these across demographic groups such as age, gender, culture, and socioeconomic status, or gambling behaviour categories such as risk severity and participation frequency. Primary and Secondary Outcome Measures: Inclusion criteria were: 1) focus on gambling harms; 2) focus on harms to the gambler rather than affected others; 3) discussion of specific listed harms and not just harms in general terms. Exclusion criteria were: 1) research of non-human subjects; 2) not written in English; 3) not an empirical study; 3) not available as a full article.Methods: We conducted a systematic search using the Web of Science and Scopus databases in August 2020. Assessment of quality took place using Standard Quality Assessment Criteria.Results: A total of 59 studies published between 1994 and 2020 met the inclusion criteria. These were categorised into thematic groups for comparison and discussion. There were replicated differences found in groups defined by age, socioeconomic status, education level, ethnicity and culture, risk severity, and gambling behaviours. Conclusion: Harms appear to be dependent on specific social, demographic and environmental conditions that suggests there is a health inequality in gambling related harms. Further investigation is required to develop standardised measurement tools and to understand confounding variables and co-morbidities. With a robust understanding of harms distribution in the population, Primary Care Workers will be better equipped to identify those who are at risk, or who are showing signs of Gambling Disorder, and to target prevention and intervention programmes appropriately.

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“…Critical appraisal of the de ned harms used in each study is therefore necessary. These comments were used when excluding studies from the research, for example MacLaren 31 discussed the CPGI and PGSI, but did not list actual speci c harms, and Booth et al 32 measured harm using only the PGSI rather than actual listed harms, so these studies were excluded. We also considered these criticisms of harm labelling when extracting data from studies, excluding behaviours such as chasing losses.…”

Section: Data Analysis Planmentioning

confidence: 99%

Is There a Health Inequality in Gambling Related Harms? A Systematic Review

Raybould

Larkin

Tunney

2020

Preprint

View full text Add to dashboard Cite

Background: Here we present a systematic review of the existing research into gambling harms, in order to determine whether there are differences in the presentation of these across demographic groups such as age, gender, culture, and socioeconomic status, or gambling behaviour categories such as risk severity and play frequency. Primary and Secondary Outcome Measures: Inclusion criteria were: 1) focus on gambling harms; 2) focus on harms to the gambler rather than affected others; 3) discussion of specific listed harms and not just harms in general terms. Exclusion criteria were: 1) research of non-human subjects; 2) not written in English; 3) not an empirical study; 3) not available as a full article.Methods: We conducted a systematic search using the Web of Science and Scopus databases in August 2020. Assessment of quality took place using Standard Quality Assessment Criteria.Results: A total of 59 studies published between 1994 and 2020 met the inclusion criteria. These were categorised into thematic groups for comparison and discussion. There were replicated differences found in groups defined by age, socioeconomic status, education level, ethnicity and culture, risk severity, and gambling behaviours. Conclusion: Harms appear to be dependent on specific social, demographic and environmental conditions that suggests there is a health inequality in gambling related harms. Further investigation is required to develop standardised measurement tools and to understand confounding variables and co-morbidities. With a robust understanding of harms distribution in the population, Primary Care Workers will be better equipped to identify those who are at risk, or who are showing signs of Gambling Disorder, and to target prevention and intervention programmes appropriately.

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Gambling-related harms attributable to lotteries products

Cited by 16 publications

References 33 publications

Examining lottery play and risk among young people in Great Britain

Examining lottery play and risk among young people in Great Britain

Is There a Health Inequality in Gambling Related Harms? A Systematic Review

Is There a Health Inequality in Gambling Related Harms? A Systematic Review

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