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数字自我护理设备对高危饮酒问题的有效性:关注酒精相关问题的高危个体。

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

作者信息

Jeong Yong Chan, Kim Yong Jin, Roh Sung Won, Seo Eun Seon, Oh Hong Seok, Lee In Suk, Lee Eun Ji, Cho Hyeon Ji, Lee Sang Kyu

机构信息

College of Medicine, Hallym University, Chuncheon, Gangwon, Chuncheon, Republic of Korea.

Department of Social Welfare, Welfare and People Addiction Prevention Institute, Seoul, Seoul, Republic of Korea.

出版信息

Front Psychiatry. 2025 May 15;16:1485940. doi: 10.3389/fpsyt.2025.1485940. eCollection 2025.

DOI:10.3389/fpsyt.2025.1485940
PMID:40443748
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12119538/
Abstract

AIMS

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.).

RESULTS

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 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.

CONCLUSION

These 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 REGISTRATION

https://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.

摘要

目的

本研究旨在验证在社区成瘾相关机构中,使用数字自我护理设备对减少高危饮酒者与酒精相关问题的有效性。

方法

收集了韩国257名18岁及以上成年人(157名男性和60名女性)的数据,调查他们的酒精使用障碍水平以及数字自我护理设备的使用情况(如记录饮酒天数、连续戒酒天数、感受、对酒精的渴望、饮酒可能性等)。

结果

通过t检验分析(M = 5.239,SD = 10.121,t = 6.945,df = 179,P = .000***),结果证实使用数字自我护理设备前后酒精使用障碍的严重程度显著降低。此外,进行了机器学习分析(随机森林)以探索对参与者酒精风险水平降低影响最大的因素。分析表明,“连续戒酒天数”这一因素对酒精风险水平的降低影响最为显著。使用ROC曲线证明了该因素的预测准确性(AUC = 0.724)。随后进行了多元回归分析以探索影响连续戒酒天数的因素。结果表明,年龄和戒酒天数的记录有显著影响,其中戒酒天数的记录是最具影响力的因素。

结论

这些结果表明,在减少酒精消费并实现成功戒酒方面,保持连续戒酒可能比戒酒的总天数更重要。此外,有必要确定有助于保持连续戒酒的关键因素。了解通过数字自我护理设备需要满足哪些要素以维持连续戒酒也至关重要。

临床试验注册

https://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,标识符,KCT0005135

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1451/12119538/7fbd1108c978/fpsyt-16-1485940-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1451/12119538/4625f92e2a5c/fpsyt-16-1485940-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1451/12119538/ed7fb3fd78da/fpsyt-16-1485940-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1451/12119538/bf3e9643c342/fpsyt-16-1485940-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1451/12119538/6b4319280f1c/fpsyt-16-1485940-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1451/12119538/085cde8cf3c1/fpsyt-16-1485940-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1451/12119538/7fbd1108c978/fpsyt-16-1485940-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1451/12119538/4625f92e2a5c/fpsyt-16-1485940-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1451/12119538/ed7fb3fd78da/fpsyt-16-1485940-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1451/12119538/bf3e9643c342/fpsyt-16-1485940-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1451/12119538/6b4319280f1c/fpsyt-16-1485940-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1451/12119538/085cde8cf3c1/fpsyt-16-1485940-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1451/12119538/7fbd1108c978/fpsyt-16-1485940-g006.jpg

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