Evidence map›Paper›PMID 40115814›Full record

ArticleAddictive behaviors reports2025

Association of gambling activities and modalities with problem gambling in Japan: A nationwide cross-sectional online survey-based study.

Takashi Yoshioka, Ryuhei So, Tatsuya Noda, Moritoshi Kido, Chieko Ito, Tomoki Nakaya, Satoshi Funada, Shiori Tsutsumi, Takahiro Tabuchi

Abstract read
In one paragraph

Article in Addictive behaviors reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Takashi YoshiokaHealth Technology Assessment Unit, Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Ryuhei SoDepartment of Psychiatry, Okayama Psychiatric Medical Center, Okayama, Japan.
Tatsuya NodaDepartment of Public Health, Health Management and Policy, Nara Medical University, Nara, Japan.
Moritoshi KidoFaculty of Human Science, Aichi Mizuho College, Aichi, Japan.
Chieko ItoNara Prefectural Center for Mental Health and Welfare, Nara, Japan.
Tomoki NakayaGraduate School of Environmental Studies, Tohoku University, Miyagi, Japan.
Satoshi FunadaHealth Technology Assessment Unit, Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Shiori TsutsumiGraduate School of Health Management, Keio University, Kanagawa, Japan.
Takahiro TabuchiDivision of Epidemiology, School of Public Health, Tohoku University Graduate School of Medicine, Miyagi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Problem gambling (PG) is a relevant public health concern. Thus, this study aimed to identify the association of specific gambling activities and modalities with PG in Japan. Methods: A cross-sectional study using data from a large-scale online survey was conducted in Japan between February 6 and 27, 2023. Candidate gambling activities and modalities include sports betting (offline/online), casinos (offline/online), lotteries (offline/online), electronic gaming machines, and trading activities. PG was defined as a score ≥ 8 on the Problem Gambling Severity Index. All estimates were weighted using a nationally representative survey conducted in Japan in 2019. To estimate the association between gambling engagement and the prevalence of PG, multivariable logistic regression models were fitted after adjusting for 13 confounding factors representing demographic, socioeconomic, health-related, and geographic characteristics. Results: A total of 12,955 respondents aged 15-82 years who had gambled in the past year were included. Among the respondents, 12.2 % (95 % confidence interval [CI] 11.4-13.1) were reported PG. The weighted multivariable logistic regression models revealed significant associations of PG with online sports betting (adjusted odds ratio [aOR] 2.41, 95 % CI 1.86-3.13), offline casinos (aOR 1.53, 95 % CI 1.16-2.02), online casinos (aOR 4.25, 95 % CI 3.09-5.86), and cryptocurrency trading (aOR 1.60, 95 % CI 1.22-2.10). Conclusion: Experiences in online sports betting, online and offline casinos, and cryptocurrency trading demonstrated statistically significant associations with the prevalence of PG. These findings emphasize the need for legal awareness of casinos and restrictions on gambling access and betting amounts.

Indexed as

Addictive behaviorCasinoCryptocurrency tradingGamblingOnline gamblingProblem gambling

Identifiers

PMID40115814
PMCPMC11925179

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Registered trials

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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.