CLINICAL TRIAL article

Front. Psychiatry

Sec. Addictive Disorders

Volume 16 - 2025 | doi: 10.3389/fpsyt.2025.1485940

This article is part of the Research TopicAddictive Disorders and Digital Medicine: Technology-based solutions for Addictive DisordersView all 9 articles

Effectiveness of Digital Self-Care device for at risk drinking problems: Focus on individuals at risk for alcohol-related issues *

Provisionally accepted
YongChan  JeongYongChan Jeong1YongJin  KimYongJin Kim2Sungwon  RohSungwon Roh3EunSeon  SeoEunSeon Seo4HongSeok  OhHongSeok Oh5InSuk  LeeInSuk Lee6Eunji  LeeEunji Lee1HyeonJi  ChoHyeonJi Cho7Sangkyu  LeeSangkyu Lee8*
  • 1College of Medicine, Hallym University, Chuncheon, Gangwon, Republic of Korea
  • 2Welfare and People Addiction Prevention Institute, Seoul, Republic of Korea
  • 3Hanyang University Seoul Hospital, Seoul, Republic of Korea
  • 4Integrated Addiction Management Support Center, Hwaseong, Gyeonggi, Republic of Korea
  • 5Konyang University Hospital, Daejeon, Daejeon, Republic of Korea
  • 6Integrated Addiction Management Support Center, Suwon, Republic of Korea
  • 7Sahmyook University, Seoul, Republic of Korea
  • 8Hallym University Medical center, Chuncheon, Gangwon, Republic of Korea

The final, formatted version of the article will be published soon.

This study was conducted to verify the effectiveness of using digital self-care devices in reducing alcohol-related problems among high-risk alcohol users in community addiction-related institutions.Methods Data were collected from 257 adults in Korea aged 18 and over (157 men and 60 women), examining their level of alcohol use disorder and the usage of digital self-care devices (such as the number of days alcohol consumption was logged, continuous days of sobriety, feeling, alcohol cravings, alcohol probability, etc.).The results confirmed that the severity of alcohol use disorder significantly decreased before and after the use of digital self-care devices, as analyzed by a t-test (M = 5.239, SD = 10.121, t = 6.945, df = 179, P = .000***). Additionally, a machine learning

Keywords: alcohol use disorder, Digital self-care device, Continuous days of sobriety, machine learning, ROC Curve, multiple regression

Received: 25 Aug 2024; Accepted: 14 Apr 2025.

Copyright: © 2025 Jeong, Kim, Roh, Seo, Oh, Lee, Lee, Cho and Lee. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Sangkyu Lee, Hallym University Medical center, Chuncheon, Gangwon, Republic of Korea

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