Evidence map›Paper›PMID 42627694›Full record

ArticleJournal of behavioral addictions2026

Between-session chasing via time of return in online eCasino gambling.

Nilosmita Banerjee, Xavier Noël, Jiahao Zhu, Zhang Chen

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Nilosmita Banerjee1Laboratory of Medical Psychology and Addiction, Faculty of Medicine and Faculty of Psychology, Université Libre de Bruxelles, Belgium.ORCID https://orcid.org/0000-0002-0611-6149
Xavier Noël1Laboratory of Medical Psychology and Addiction, Faculty of Medicine and Faculty of Psychology, Université Libre de Bruxelles, Belgium.ORCID https://orcid.org/0000-0002-4604-8144
Jiahao Zhu2Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands.
Zhang Chen3Department of Experimental Psychology, Ghent University, Belgium.ORCID https://orcid.org/0000-0002-3500-9182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Chasing refers to continuing and/or intensifying gambling following losses (loss-chasing) and/or wins (win-chasing). It is commonly captured between sessions, i.e., returning another day/time after losses or wins in prior sessions. Between-session chasing is a hallmark of problematic gambling, but the current understanding of between-session chasing in field settings remains limited. Methods: Using a large-scale behavioral tracking dataset (11,156 gamblers; ∼170 million bets), we assessed between-session chasing via time of return. Using pre-registered analyses, we assessed time of return as a function of (a) prior outcome (win/loss), (b) outcome magnitude, (c) game type (Multi-line Slots, Dice game, European Roulette and Multi-hand European Blackjack) and (d) gambler's involvement level (high/low; defined based on monetary and time expenditure). Results: Confirmatory results indicated that overall gamblers returned faster following a winning than a losing session. They returned faster when previous outcome magnitude (both wins and losses) increased. Furthermore, return times of slot gamblers were less sensitive to prior outcomes than other products. Exploratory results indicated that return times of high-involvement gamblers were less sensitive to prior outcome than low-involvement gamblers. Discussion and Conclusions: The current results indicate a pattern of both loss- and win-chasing, demonstrating that the break-even, house money and wealth effects may be at play. Decreased sensitivity to prior outcome among slot and high-involvement gamblers may be attributed to habituation. Future research could disentangle these multi-causal mechanisms, to evaluate time of return as a potential behavioral marker of harm, for better identification and mitigation of problem gambling.

Indexed as

Behavior, AddictiveGamblingHumansTime Factorsbehavioral tracking datasetgambling escalationloss-chasingproblem gamblingwin-chasing

Identifiers

PMID42627694
PMCPMC13678391

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.