Literature DB >> 26832122

Exploring the Relationships Between Problem Gambling and ADHD: A Meta-Analysis.

Jennifer Theule1, Kylee E Hurl1, Kristene Cheung1, Michelle Ward1, Brenna Henrikson1.   

Abstract

Objective: At present, there are inconsistencies in the literature pertaining to the association between ADHD and problem gambling. This study utilized meta-analytic techniques to clarify the association between symptoms of problem gambling and symptoms of ADHD. Method: Several meta-analyses were conducted using a random effects model. PsycINFO, PubMed, ProQuest Dissertations & Theses, and Google Scholar were searched for relevant studies.
Results: The weighted mean correlation between ADHD symptomology and gambling severity was r = .17, 95% confidence interval (CI) = [0.12, 0.22], p < .001. Mean age of the sample was the only moderator to approach significance, with greater age being linked to a stronger relationship between symptoms of ADHD and gambling severity.
Conclusion: Clinicians needs to be cognizant of the greater risk of ADHD symptoms when working with problem gamblers and vice versa.

Entities:  

Keywords:  ADHD; meta-analysis; problem gambling

Year:  2016        PMID: 26832122     DOI: 10.1177/1087054715626512

Source DB:  PubMed          Journal:  J Atten Disord        ISSN: 1087-0547            Impact factor:   3.256


  6 in total

Review 1.  Gambling disorder in the UK: key research priorities and the urgent need for independent research funding.

Authors:  Henrietta Bowden-Jones; Roxanne W Hook; Jon E Grant; Konstantinos Ioannidis; Ornella Corazza; Naomi A Fineberg; Bryan F Singer; Amanda Roberts; Richard Bethlehem; Simon Dymond; Rafa Romero-Garcia; Trevor W Robbins; Samuele Cortese; Shane A Thomas; Barbara J Sahakian; Nicki A Dowling; Samuel R Chamberlain
Journal:  Lancet Psychiatry       Date:  2022-02-15       Impact factor: 27.083

2.  Problematic smartphone use in young Swiss men: Its association with problematic substance use and risk factors derived from the pathway model.

Authors:  Michelle Dey; Joseph Studer; Michael Patrick Schaub; Gerhard Gmel; David Daniel Ebert; Jenny Yi-Chen Lee; Severin Haug
Journal:  J Behav Addict       Date:  2019-05-13       Impact factor: 6.756

3.  Use of machine learning to classify adult ADHD and other conditions based on the Conners' Adult ADHD Rating Scales.

Authors:  Hanna Christiansen; Mira-Lynn Chavanon; Oliver Hirsch; Martin H Schmidt; Christian Meyer; Astrid Müller; Hans-Juergen Rumpf; Ilya Grigorev; Alexander Hoffmann
Journal:  Sci Rep       Date:  2020-11-02       Impact factor: 4.379

4.  How Do People With Intellectual Disability Engage With and Understand Gambling? A Qualitative Study of Adults in Victoria, Australia.

Authors:  Hannah Pitt; Samantha L Thomas; Joanne Watson; Russell Shuttleworth; Kevin Murfitt; Susan Balandin
Journal:  Front Public Health       Date:  2021-01-12

Review 5.  Individual differences in sensitivity to positive home environment among children "at risk" for attention-deficit/hyperactivity disorder: A review.

Authors:  Tzlil Einziger; Andrea Berger
Journal:  Front Psychiatry       Date:  2022-07-22       Impact factor: 5.435

6.  Identification of factors associated with the efficacy of atomoxetine in adult attention-deficit/hyperactivity disorder.

Authors:  Tsutomu Nagai; Tatsuya Kurihara; Hiroaki Koya; Yukako Nakano; Satoru Sugisawa; Takehiko Sambe; Keiko Kishimoto; Mari Kogo; Haruhisa Ota; Akira Iwanami; Naoki Uchida
Journal:  Neuropsychopharmacol Rep       Date:  2022-04-29
  6 in total

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