Evidence map›Paper›PMID 32643043›Full record

ArticleJournal of gambling studies2020

Online Survey of Gambling Participation and Problem Gambling in Chiba City: Problem Gambling Rates May be Strongly Influenced by the Administration Mode.

Hidetoshi Ino, Ayako Iyama, Asumi Takahashi

Abstract read
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Article in Journal of gambling studies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Hidetoshi InoChiba City Mental Health Center, 2-1-16 Takahama, Mihama-ku, Chiba, Chiba, 261-0003, Japan. hidetoshi5656@jcom.zaq.ne.jp.
Ayako IyamaChiba City Mental Health Center, 2-1-16 Takahama, Mihama-ku, Chiba, Chiba, 261-0003, Japan.
Asumi TakahashiGraduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, 305-8575, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prevalence studies on gambling participation and problem gambling in Japan have been limited. To obtain data showing the current status of gambling in Japan, we conducted an online survey on gambling participation and problem gambling among residents in Chiba City. The online data collection was conducted through an Internet research firm. Questionnaires were consisted of personal demographics, past-year gambling participation and severity of gambling risks. The Problem Gambling Severity Index (PGSI) was used as a survey instrument. Males (51.5%) were significantly more likely than females (25.5%) to have gambled in the past year. Problem gamblers (PGSI score ≧ 8) were 7.2% among males and 1.2% among females. Problem gambling was strongly correlated with frequent gambling, preference for Pachinko/Slot and smoking habit. The gambling participation rates were roughly lower than those reported in many overseas jurisdictions, whereas the problem gambling rates were considerably higher than those reported in the same jurisdictions. According to the total consumption model, it would be reasonable to consider that gambling participation rates show a positive correlation with problem gambling rates. The high levels of problem gambling may be due to the administration mode using online sampling, by which answers admitting unapprovable behaviors like problem gambling tend to increase. This suggests that the previous studies using conventional face-to-face or telephone methods may have underestimated problem gambling rates.

Indexed as

Attitude to HealthAdultBehavior, AddictiveFemaleGamblingHumansInternetJapanMaleMiddle AgedRisk-TakingSeverity of Illness IndexSex DistributionSocioeconomic FactorsSurveys and QuestionnairesYoung AdultEGMInternet surveyPachinkoPathological gamblingTotal consumption model

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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.