Gambling behavior and criminal convictions: a register-based investigation.

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Title: Gambling behavior and criminal convictions: a register-based investigation.
Authors: Lind, Kalle, Hagfors, Heli, Salonen, Anne H.
Source: Addiction Research & Theory. Jun2024, Vol. 32 Issue 3, p167-177. 11p.
Subjects: Crime & psychology, Pearson correlation (Statistics), Research funding, Criminals, Socioeconomic factors, Logistic regression analysis, Gambling, Disease prevalence, Chi-squared test, Descriptive statistics, Surveys, Finns, Motivation (Psychology), Odds ratio, Data analysis software, Confidence intervals
Geographic Terms: Finland
Abstract: Gambling severity and criminal convictions are known to be correlated, but there is a lack of understanding of the associations between the type and frequency of offending, game types, gambling motives and gambling intensity. This study aims to fill this gap by examining systematically whether conviction prevalence varies with gambling behavior. The study combined register-based variables on criminal convictions from the past 45 years to a gambling-related population survey (n = 3993). Descriptive data are provided on the prevalence of criminal convictions among different past-year gambling behavior subgroups. Logistic regression models were built to explore the associations between having convictions on one's record and gambling behavior traits more in depth. The results of this study indicate that the prevalence of having criminal convictions not only varies among different demographic groups and well-being correlates, but also among different groups of past-year gamblers based on played game types, gambling versatility, gambling severity and gambling motives. Having a history of convictions was predicted by male gender, older age group, receiving basic social allowance, at-risk gambling and risky alcohol use. Escape as a gambling motive and playing EGMs proved to be significant predictors of having multiple criminal convictions. Gamblers differ in conviction prevalence as a function of gambling game types, versatility and gambling motives. These findings contribute to better understanding the dialectic interplay between gambling and criminal behavior and may inform the development of targeted interventions. [ABSTRACT FROM AUTHOR]
Copyright of Addiction Research & Theory is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Gambling behavior and criminal convictions: a register-based investigation.
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  Data: Gambling severity and criminal convictions are known to be correlated, but there is a lack of understanding of the associations between the type and frequency of offending, game types, gambling motives and gambling intensity. This study aims to fill this gap by examining systematically whether conviction prevalence varies with gambling behavior. The study combined register-based variables on criminal convictions from the past 45 years to a gambling-related population survey (n = 3993). Descriptive data are provided on the prevalence of criminal convictions among different past-year gambling behavior subgroups. Logistic regression models were built to explore the associations between having convictions on one's record and gambling behavior traits more in depth. The results of this study indicate that the prevalence of having criminal convictions not only varies among different demographic groups and well-being correlates, but also among different groups of past-year gamblers based on played game types, gambling versatility, gambling severity and gambling motives. Having a history of convictions was predicted by male gender, older age group, receiving basic social allowance, at-risk gambling and risky alcohol use. Escape as a gambling motive and playing EGMs proved to be significant predictors of having multiple criminal convictions. Gamblers differ in conviction prevalence as a function of gambling game types, versatility and gambling motives. These findings contribute to better understanding the dialectic interplay between gambling and criminal behavior and may inform the development of targeted interventions. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Addiction Research & Theory is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/16066359.2023.2230877
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 167
    Subjects:
      – SubjectFull: Crime & psychology
        Type: general
      – SubjectFull: Pearson correlation (Statistics)
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Criminals
        Type: general
      – SubjectFull: Socioeconomic factors
        Type: general
      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Gambling
        Type: general
      – SubjectFull: Disease prevalence
        Type: general
      – SubjectFull: Chi-squared test
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Surveys
        Type: general
      – SubjectFull: Finns
        Type: general
      – SubjectFull: Motivation (Psychology)
        Type: general
      – SubjectFull: Odds ratio
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Finland
        Type: general
    Titles:
      – TitleFull: Gambling behavior and criminal convictions: a register-based investigation.
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            NameFull: Lind, Kalle
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            NameFull: Hagfors, Heli
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            NameFull: Salonen, Anne H.
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            – D: 01
              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
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              Value: 16066359
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              Value: 32
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