Effectiveness of digital self-care device for at risk drinking problems: focus on individuals at risk for alcohol-related issues

AimsThis 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.MethodsData were collected from 257 adults in Korea aged 18 and over (157 men and 60 women), exam...

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Main Authors: Yong Chan Jeong, Yong Jin Kim, Sung Won Roh, Eun Seon Seo, Hong Seok Oh, In Suk Lee, Eun Ji Lee, Hyeon Ji Cho, Sang Kyu Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Psychiatry
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Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1485940/full
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author Yong Chan Jeong
Yong Jin Kim
Sung Won Roh
Eun Seon Seo
Hong Seok Oh
In Suk Lee
Eun Ji Lee
Hyeon Ji Cho
Sang Kyu Lee
author_facet Yong Chan Jeong
Yong Jin Kim
Sung Won Roh
Eun Seon Seo
Hong Seok Oh
In Suk Lee
Eun Ji Lee
Hyeon Ji Cho
Sang Kyu Lee
author_sort Yong Chan Jeong
collection DOAJ
description AimsThis 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.MethodsData 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.).ResultsThe 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 analysis (random forest) was conducted to explore the factors that most influence the reduction in alcohol risk levels among participants. The analysis revealed that the factor “continuous days of sobriety” had the most significant impact on the reduction of alcohol risk levels. The predictive accuracy of this factor was demonstrated using an ROC curve (AUC = 0.724). Subsequently, a multiple regression analysis was conducted to explore the factors influencing continuous days of sobriety. The results indicated that age and the logging of sobriety days had a significant impact, with the logging of sobriety days emerging as the most influential factor.ConclusionThese results suggest that in reducing alcohol consumption and achieving successful sobriety, it may be more important to maintain continuous sobriety rather than the total number of sober days. Additionally, it is necessary to identify the key factors that help maintain continuous sobriety. Understanding which elements need to be fulfilled through digital self-care devices to sustain continuous sobriety is also essential.Clinical trial registrationhttps://cris.nih.go.kr/cris/search/detailSearch.do?search_lang=EM&focus=reset_12&search_page=M&pageSize=10M&page=undefinedM&seq=16267M&status=5M&seq_group=16267, identifier, KCT0005135.
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issn 1664-0640
language English
publishDate 2025-05-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Psychiatry
spelling doaj-art-526e250e98564f27aed82dd9e5ef0cb22025-08-20T03:28:00ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402025-05-011610.3389/fpsyt.2025.14859401485940Effectiveness of digital self-care device for at risk drinking problems: focus on individuals at risk for alcohol-related issuesYong Chan Jeong0Yong Jin Kim1Sung Won Roh2Eun Seon Seo3Hong Seok Oh4In Suk Lee5Eun Ji Lee6Hyeon Ji Cho7Sang Kyu Lee8College of Medicine, Hallym University, Chuncheon, Gangwon, Chuncheon, Republic of KoreaDepartment of Social Welfare, Welfare and People Addiction Prevention Institute, Seoul, Seoul, Republic of KoreaDepartment of Psychiatry, Hanyang University Seoul Hospital, Seoul, Seoul, Republic of KoreaDepartment of Social Welfare, Integrated Addiction Management Support Center, Hwaseong, Gyeonggi, Hwaseong, Republic of KoreaDepartment of Psychiatry, Konyang University Hospital, Daejeon, Daejeon, Republic of KoreaDepartment of Nursing, Integrated Addiction Management Support Center, Suwon, Suwon, Republic of KoreaCollege of Medicine, Hallym University, Chuncheon, Gangwon, Chuncheon, Republic of KoreaDepartment of Counseling Psychology, Sahmyook University, Seoul, Republic of KoreaDepartment of Psychiatry, Hallym University Medical Center, Chuncheon, Gangwon, Republic of KoreaAimsThis 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.MethodsData 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.).ResultsThe 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 analysis (random forest) was conducted to explore the factors that most influence the reduction in alcohol risk levels among participants. The analysis revealed that the factor “continuous days of sobriety” had the most significant impact on the reduction of alcohol risk levels. The predictive accuracy of this factor was demonstrated using an ROC curve (AUC = 0.724). Subsequently, a multiple regression analysis was conducted to explore the factors influencing continuous days of sobriety. The results indicated that age and the logging of sobriety days had a significant impact, with the logging of sobriety days emerging as the most influential factor.ConclusionThese results suggest that in reducing alcohol consumption and achieving successful sobriety, it may be more important to maintain continuous sobriety rather than the total number of sober days. Additionally, it is necessary to identify the key factors that help maintain continuous sobriety. Understanding which elements need to be fulfilled through digital self-care devices to sustain continuous sobriety is also essential.Clinical trial registrationhttps://cris.nih.go.kr/cris/search/detailSearch.do?search_lang=EM&focus=reset_12&search_page=M&pageSize=10M&page=undefinedM&seq=16267M&status=5M&seq_group=16267, identifier, KCT0005135.https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1485940/fullalcohol use disorderdigital self-care devicecontinuous days of sobrietymachine learningROC curvemultiple regression
spellingShingle Yong Chan Jeong
Yong Jin Kim
Sung Won Roh
Eun Seon Seo
Hong Seok Oh
In Suk Lee
Eun Ji Lee
Hyeon Ji Cho
Sang Kyu Lee
Effectiveness of digital self-care device for at risk drinking problems: focus on individuals at risk for alcohol-related issues
Frontiers in Psychiatry
alcohol use disorder
digital self-care device
continuous days of sobriety
machine learning
ROC curve
multiple regression
title Effectiveness of digital self-care device for at risk drinking problems: focus on individuals at risk for alcohol-related issues
title_full Effectiveness of digital self-care device for at risk drinking problems: focus on individuals at risk for alcohol-related issues
title_fullStr Effectiveness of digital self-care device for at risk drinking problems: focus on individuals at risk for alcohol-related issues
title_full_unstemmed Effectiveness of digital self-care device for at risk drinking problems: focus on individuals at risk for alcohol-related issues
title_short Effectiveness of digital self-care device for at risk drinking problems: focus on individuals at risk for alcohol-related issues
title_sort effectiveness of digital self care device for at risk drinking problems focus on individuals at risk for alcohol related issues
topic alcohol use disorder
digital self-care device
continuous days of sobriety
machine learning
ROC curve
multiple regression
url https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1485940/full
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