Evidence map›Paper›PMID 38769537›Full record

Trial reportBMC medicine2024

Effectiveness of genetic feedback on alcohol metabolism to reduce alcohol consumption in young adults: an open-label randomized controlled trial.

Yukiko Owaki, Hisashi Yoshimoto, Go Saito, Shohei Dobashi, Satoshi Kushio, Akihiro Nakamura, Takahiro Goto, Yusuke Togo, Kazumasa Mori, Hideki Hokazono

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genetic Polymorphisms ofInternational journal of molecular sciences · 2025
    Review
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

10 authors.

Yukiko OwakiDepartment of Nursing, School of Nursing, Gunma Prefectural College of Health Sciences, Maebashi, Japan. owaki-yu@gchs.ac.jp.ORCID 0000-0003-2665-1066
Hisashi YoshimotoResearch and Development Center for Lifestyle Innovation, University of Tsukuba, Tsukuba, Japan. hisashiyoshi@md.tsukuba.ac.jp.
Go SaitoResearch and Development Center for Lifestyle Innovation, University of Tsukuba, Tsukuba, Japan.
Shohei DobashiResearch and Development Center for Lifestyle Innovation, University of Tsukuba, Tsukuba, Japan.
Satoshi KushioSanwa Laboratory, Sanwa Shurui Company, Usa, Japan.
Akihiro NakamuraSanwa Laboratory, Sanwa Shurui Company, Usa, Japan.
Takahiro GotoSanwa Laboratory, Sanwa Shurui Company, Usa, Japan.
Yusuke TogoSanwa Laboratory, Sanwa Shurui Company, Usa, Japan.
Kazumasa MoriSanwa Laboratory, Sanwa Shurui Company, Usa, Japan.
Hideki HokazonoSanwa Laboratory, Sanwa Shurui Company, Usa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is unclear whether brief interventions using the combined classification of alcohol-metabolizing enzymes aldehyde dehydrogenase 2 (ALDH2) and alcohol dehydrogenase 1B (ADH1B) together with behavioral changes in alcohol use can reduce excessive alcohol consumption. This study aimed to examine the effects of a brief intervention based on the screening of ALDH2 and ADH1B gene polymorphisms on alcohol consumption in Japanese young adults.

methodsIn this open-label randomized controlled trial, we enrolled adults aged 20-30 years who had excessive drinking behavior (average amount of alcohol consumed: men, ≥  4 drinks/per day and women, ≥  2 drinks/per day; 1 drink = 10 g of pure alcohol equivalent). Participants were randomized into intervention or control group using a simple random number table. The intervention group underwent saliva-based genotyping of alcohol-metabolizing enzymes (ALDH2 and ADH1B), which were classified into five types. A 30-min in-person or online educational counseling was conducted approximately 1 month later based on genotyping test results and their own drinking records. The control group received traditional alcohol education. Average daily alcohol consumption was calculated based on the drinking diary, which was recorded at baseline and at 3 and 6 months of follow-up. The primary endpoint was average daily alcohol consumption, and the secondary endpoints were the alcohol-use disorder identification test for consumption (AUDIT-C) score and behavioral modification stages assessed using a transtheoretical model.

resultsParticipants were allocated to the intervention (n = 100) and control (n = 96) groups using simple randomization. Overall, 28 (29.2%) participants in the control group and 21 (21.0%) in the intervention group did not complete the follow-up. Average alcohol consumption decreased significantly from baseline to 3 and 6 months in the intervention group but not in the control group. The reduction from baseline alcohol consumption values and AUDIT-C score at 3 months were greater in the intervention group than in the control group (p < 0.001). In addition, the behavioral modification stages were significantly changed by the intervention (p < 0.001).

conclusionsGenetic testing for alcohol-metabolizing enzymes and health guidance on type-specific excessive drinking may be useful for reducing sustained average alcohol consumption associated with behavioral modification.

trial registrationR000050379, UMIN000044148, Registered on June 1, 2021.

Indexed as

Alcohol DehydrogenaseAlcohol DrinkingAldehyde Dehydrogenase, MitochondrialAdultEthanolFemaleGenotypeHumansJapanMalePolymorphism, GeneticTreatment OutcomeYoung AdultADH1B protein, humanAlcohol DehydrogenaseAldehyde Dehydrogenase, MitochondrialALDH2 protein, humanEthanolADH1BALDH2College studentsExcessive drinkingGene polymorphismsJapaneseRandomized controlled trialTranstheoretical modelYoung adults

Identifiers

PMID38769537
PMCPMC11106878

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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.