Literature DB >> 33322378

A Longitudinal Analysis of Gambling Predictors among Adolescents.

Álvaro Botella-Guijarro1,2, Daniel Lloret-Irles2, José Vicente Segura-Heras3, Víctor Cabrera-Perona2, Juan Antonio Moriano1.   

Abstract

Although gambling is forbidden for minors, the prevalence of gambling among adolescents is increasing. In order to improve preventive interventions, more evidence on predictors of gambling onset is needed. A longitudinal study was proposed to (1) establish the prevalence of gambling; (2) identify factors associated with gambling behavior the following year; and (3) adjust a model to predict gambling behavior. A cohort of 1074 students (13-18 years old) was followed for 12 months. The prevalence of gambling reached 42.0% in the second measure. Boys gambled 2.7 times more than girls, and the highest percentages of gambling onset showed up between 13 and 14 years old. Gambling onset and maintenance was associated with gender, age, sensation-seeking, risk perception, self-efficacy for not gambling, parents' attitude towards gambling, group pressure (friends), subjective norm, exposure to advertising, accessibility, normative perception, gambling in T1 and parents gambling behavior. Gender, gambling in T1 and risk perception were significant in all three logistic adjusted regression models, with the fourth variable being sensation seeking, peer pressure (friends) and accessibility, respectively. It is suggested that universal prevention should be aimed preferably at children under 15 years old and to alert regulators and public administrations to the directly proportional relationship between accessibility and gambling onset.

Entities:  

Keywords:  adolescence; gambling; generalized linear model (GLM); risk factor

Year:  2020        PMID: 33322378      PMCID: PMC7763018          DOI: 10.3390/ijerph17249266

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  51 in total

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Journal:  Cyberpsychol Behav       Date:  2003-12

2.  From adolescent to adult gambling: an analysis of longitudinal gambling patterns in South Australia.

Authors:  Paul Delfabbro; Daniel King; Mark D Griffiths
Journal:  J Gambl Stud       Date:  2014-09

3.  Identifying at-risk profiles and protective factors for problem gambling: A longitudinal study across adolescence and early adulthood.

Authors:  Youssef Allami; Frank Vitaro; Mara Brendgen; René Carbonneau; Richard E Tremblay
Journal:  Psychol Addict Behav       Date:  2018-03-19

4.  A model to explain at-risk/problem gambling among male and female adolescents: gender similarities and differences.

Authors:  Maria Anna Donati; Francesca Chiesi; Caterina Primi
Journal:  J Adolesc       Date:  2012-11-22

Review 5.  Gambling disorder in adolescents: prevalence, new developments, and treatment challenges.

Authors:  Georgios D Floros
Journal:  Adolesc Health Med Ther       Date:  2018-03-02

6.  Young people's recall and perceptions of gambling advertising and intentions to gamble on sport.

Authors:  Christian Nyemcsok; Samantha L Thomas; Amy Bestman; Hannah Pitt; Mike Daube; Rebecca Cassidy
Journal:  J Behav Addict       Date:  2018-12-23       Impact factor: 6.756

7.  Perceived parental permissiveness toward gambling and risky behaviors in adolescents.

Authors:  Robert F Leeman; Julie A Patock-Peckham; Rani A Hoff; Suchitra Krishnan-Sarin; Marvin A Steinberg; Loreen J Rugle; Marc N Potenza
Journal:  J Behav Addict       Date:  2014-04-05       Impact factor: 6.756

Review 8.  Family factors in adolescent problematic Internet gaming: A systematic review.

Authors:  Luke A Schneider; Daniel L King; Paul H Delfabbro
Journal:  J Behav Addict       Date:  2017-08-01       Impact factor: 6.756

Review 9.  Prevalence of Adolescent Problem Gambling: A Systematic Review of Recent Research.

Authors:  Filipa Calado; Joana Alexandre; Mark D Griffiths
Journal:  J Gambl Stud       Date:  2017-06

10.  Social influences normalize gambling-related harm among higher risk gamblers.

Authors:  Alex M T Russell; Erika Langham; Nerilee Hing
Journal:  J Behav Addict       Date:  2018-12-01       Impact factor: 6.756

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  3 in total

1.  Risk Factors for Excessive Social Media Use Differ from Those of Gambling and Gaming in Finnish Youth.

Authors:  Sari Castrén; Terhi Mustonen; Krista Hylkilä; Niko Männikkö; Maria Kääriäinen; Kirsimarja Raitasalo
Journal:  Int J Environ Res Public Health       Date:  2022-02-19       Impact factor: 3.390

2.  Money used in gaming is associated with problem gambling: Results of the ESPAD 2019 Finland.

Authors:  Sari Castrén; Johanna Järvinen-Tassopoulos; Kirsimarja Raitasalo
Journal:  J Behav Addict       Date:  2021-11-17       Impact factor: 6.756

3.  Development and Validation of the RAFFLE: A Measure of Reasons and Facilitators for Loot Box Engagement.

Authors:  Joanne Lloyd; Laura Louise Nicklin; Stuart Gordon Spicer; Chris Fullwood; Maria Uther; Daniel P Hinton; Jonathan Parke; Helen Lloyd; James Close
Journal:  J Clin Med       Date:  2021-12-18       Impact factor: 4.241

  3 in total

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