MétaCan
Menu
Back to cohort
Record W3156465280 · doi:10.4309/jgi.2021.47.3

Problem gambling among older people. An Italian study on habits, representations, levels of engagement and psychosocial determinants

2021· article· en· W3156465280 on OpenAlexvenueno aff
Claudia Venuleo, Tiziana Marinaci, Piergiorgio Mossi

Bibliographic record

VenueJournal of Gambling Issues · 2021
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsLonelinessPsychologyPsychosocialPopulationDevelopmental psychologyClinical psychologySocial psychologyDemographyPsychiatrySociology

Abstract

fetched live from OpenAlex

Gambling participation among older people has grown over the years. Elders constitute a large and fast-growing population in Italy, but little empirical evidence describes gambling patterns among older Italian adults and the problem gambling (PG)’s psychosocial determinants, so a range of questions which are crucial to orient prevention strategies remain unanswered. The present study aims to investigate habits, representations, levels of engagement in gambling among Italian elders and the role of loneliness, social support and well-being in explaining their problem with gambling. A convenience sample of 165 participants (mean age: 66.93; SD = 5.73; women: 43.1%) was involved. Gambling activities, habits, representations and PG rates were examined. A group “at moderate risk/problem gambling” (scoring >7 on PGSI, n = 40) and a control group (scoring 0 on PGSI, n = 40) were selected from the whole sample, balanced on socio-demographic characteristics; a one-way analysis of variance (ANOVA) was used to compare the two groups on the target psychosocial variables. 11.5% of the sample was found to meet the PGSI criteria for PG; 26.7% for moderate risk; 11.5% for problem gambling; 50.3% were classified as no-problem gamblers. Scratch cards were the main form of gambling among all groups; the chance to make more money and to distract oneself from other problems were the main reasons to gamble. Finally, the group “at moderate risk/problem gambling,” compared to the control group, expressed higher loneliness, as well as lower perceived social support and well-being.RésuméLa pratique des jeux de hasard chez les personnes plus âgées augmente au fil des années. Les aînés représentent un segment important et à croissance rapide de la population en Italie, mais peu de données empiriques décrivent les habitudes de pratique de jeux de hasard des adultes italiens plus âgés et les déterminants psychosociaux du jeu compulsif. Tout un éventail de questions essentielles à l’orientation des stratégies de prévention reste sans réponse. La présente étude se penche sur les habitudes, les représentations et les niveaux de pratique de jeux de hasard chez les aînés italiens, ainsi que le rôle de la solitude, du soutien social et du bien-être pour expliquer leurs problèmes liés au jeu, à l’aide d’un échantillon de commodité de 165 participants (moyenne d’âge : 66,93; écart-type de la population = 5.73; femmes : 43,1 %). La pratique des jeux de hasard, les habitudes, les représentations et le jeu compulsif ont été examinés. Un groupe « à risque moyen/jeu compulsif » (pointage >7 sur l’indice de gravité de jeu compulsif (IGJC), n = 40) et un groupe témoin (pointage de 0 sur l’IGJC, n = 40) ont été choisis parmi l’ensemble de l’échantillon, équilibrés du point de vue des caractéristiques sociodémographiques; une analyse de variance à un critère de classification (ANOVA) a été utilisée pour comparer les deux groupes par rapport aux variables psychosociales cibles. On a constaté que 11,5 % de l’échantillon répondaient aux critères de jeu compulsif de l’IGJC; 26,7 % répondaient aux critères de risque modéré; 11,5 %, aux critères de jeu compulsif; et 50,3 % étaient classés comme des joueurs ne présentant pas de problème. Les cartes à gratter constituaient la forme principale de jeu de hasard dans tous les groupes; les principales raisons de jouer étaient la possibilité de faire plus d’argent et d’oublier d’autres problèmes. Enfin, par rapport au groupe témoin, le groupe « à risque moyen/jeu compulsif » a exprimé un plus grand sentiment de solitude et percevait un moins grand soutien social et un moins grand bien-être.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.299
GPT teacher head0.492
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Gambling IssuesSame topicGambling Behavior and TreatmentsFrench-language works237,207