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针对年轻人的数字睡眠-酒精干预混合方法评估中的自然语言处理

Natural language processing in mixed-methods evaluation of a digital sleep-alcohol intervention for young adults.

作者信息

Griffith Frances J, Ash Garrett I, Augustine Madilyn, Latimer Leah, Verne Naomi, Redeker Nancy S, O'Malley Stephanie S, DeMartini Kelly S, Fucito Lisa M

机构信息

Yale School of Medicine, Department of Psychiatry, New Haven, CT, USA.

Yale School of Medicine, Department of Biomedical Informatics and Data Science, New Haven, CT, USA.

出版信息

NPJ Digit Med. 2024 Nov 29;7(1):342. doi: 10.1038/s41746-024-01321-3.

DOI:10.1038/s41746-024-01321-3
PMID:39613828
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11606959/
Abstract

We used natural language processing (NLP) in convergent mixed methods to evaluate young adults' experiences with Call it a Night (CIAN), a digital personalized feedback and coaching sleep-alcohol intervention. Young adults with heavy drinking (N = 120) were randomized to CIAN or controls (A + SM: web-based advice + self-monitoring or A: advice; clinicaltrials.gov, 8/31/18, #NCT03658954). Most CIAN participants (72.0%) preferred coaching to control interventions. Control participants found advice more helpful than CIAN participants (X = 27.34, p < 0.001). Most participants were interested in sleep factors besides alcohol and appreciated increased awareness through monitoring. NLP corroborated generally positive sentiments (M = 15.07(10.54)) and added critical insight that sleep (40%), not alcohol use (12%), was a main participant motivator. All groups had high adherence, satisfaction, and feasibility. CIAN (Δ = 0.48, p = 0.008) and A + SM (Δ = 0.55, p < 0.001) had higher reported effectiveness than A (F(2, 115) = 8.45, p < 0.001). Digital sleep-alcohol interventions are acceptable, and improving sleep and wellness may be important motivations for young adults.

摘要

我们采用融合式混合方法中的自然语言处理(NLP)来评估年轻人参与“晚安计划”(CIAN)的体验,这是一种数字化的个性化反馈与指导的睡眠-酒精干预措施。重度饮酒的年轻人(N = 120)被随机分为CIAN组或对照组(A + SM:基于网络的建议 + 自我监测或A:建议;clinicaltrials.gov,2018年8月31日,#NCT03658954)。大多数CIAN参与者(72.0%)更喜欢指导而非对照干预措施。对照组参与者认为建议比CIAN组参与者更有帮助(X = 27.34,p < 0.001)。大多数参与者对除酒精之外的睡眠因素感兴趣,并通过监测对提高意识表示赞赏。NLP证实了总体上积极的情绪(M = 15.07(10.54)),并补充了关键见解,即睡眠(40%)而非饮酒(12%)是参与者的主要动机。所有组的依从性、满意度和可行性都很高。CIAN(Δ = 0.48,p = 0.008)和A + SM(Δ = 0.55,p < 0.001)的报告有效性高于A(F(2, 115) = 8.45,p < 0.001)。数字化睡眠-酒精干预措施是可以接受的,改善睡眠和健康状况可能是年轻人的重要动机。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bce3/11606959/6e2b2f854adc/41746_2024_1321_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bce3/11606959/1d037b213170/41746_2024_1321_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bce3/11606959/74e7b81b7869/41746_2024_1321_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bce3/11606959/2d10b7c68227/41746_2024_1321_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bce3/11606959/6e2b2f854adc/41746_2024_1321_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bce3/11606959/1d037b213170/41746_2024_1321_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bce3/11606959/74e7b81b7869/41746_2024_1321_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bce3/11606959/2d10b7c68227/41746_2024_1321_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bce3/11606959/6e2b2f854adc/41746_2024_1321_Fig4_HTML.jpg

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