使用可穿戴传感器戒烟的即时适应性干预的近端效应:微随机试验。

IF 6.2 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2025-03-19 DOI:10.2196/55379
Christine Vinci, Steve K Sutton, Min-Jeong Yang, Sarah R Jones, Santosh Kumar, David W Wetter
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引用次数: 0

摘要

背景:烟草使用仍然是美国发病率和死亡率的主要可预防原因。需要新的干预措施来提高戒烟率。以正念为基础的戒烟干预措施(mbi)通过从非判断的立场提高对吸烟和相关行为(如对吸烟诱因的反应)的自动性质的认识来解决烟草使用问题。通过创新技术为戒烟提供mbi,可以灵活安排干预措施的实施时间,从而有可能提高戒烟干预措施的效果。研究表明,mbi针对戒烟过程中的关键机制,可用于最大限度地减少吸烟失效的驱动因素。目的:这项单臂研究通过一项微随机试验调查了基于正念的策略和动机信息对近端结果的影响,这些结果是通过生态瞬间评估(EMA)收集的,与烟草戒烟相关。这种方法允许评估干预内容对近端结果(例如,减少负面影响)的影响,这些影响被认为会影响远端积极结果(例如,戒烟)。方法:所有参与者都有戒烟的动机,他们接受的干预包括尼古丁替代疗法、简短的个人咨询和为期2周的可穿戴传感器即时适应性干预(JITAI)。在JITAI期间,每天通过智能手机应用程序随机推送(或不推送)多个单一策略。EMA接下来评估消极影响、积极影响、正念、戒断自我效能、戒烟动机、渴望和吸烟动机。初步分析评估了策略实施与未实施时EMA结果(近端)的差异。额外的分析评估了基线和治疗结束访问时收集的类似结果的变化。结果:参与者(N=38)中63%(24/38)为女性,18%(7/38)为西班牙裔或拉丁裔,29%(11/38)为非裔美国人。他们的平均年龄为49岁,平均每天吸烟15支(标准差7.9)。结果表明,在干预的第二周(也是最后一周),接受JITAI显著减少了近端负面影响。在基线和治疗结束时提供的自我报告显示,感知压力、吸烟和渴望的自动性显著降低,禁欲自我效能显著增加。禁欲自我效能感的增加显著地预测了禁欲。结论:据我们所知,这是第一个测试基于正念的JITAI对与戒烟相关的关键变量的近端影响的研究。我们的主要发现是,在JITAI的最后一周完成策略(与没有提供策略相比)后,负面情绪较低。在更大的样本量中,未来的研究应该延长干预的时间,以进一步评估JITAI的影响,并包括一个比较条件,以进一步评估干预的每个组成部分如何独特地影响结果。试验注册:ClinicalTrials.gov NCT03404596;https://clinicaltrials.gov/study/NCT03404596。
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Proximal Effects of a Just-in-Time Adaptive Intervention for Smoking Cessation With Wearable Sensors: Microrandomized Trial.

Background: Tobacco use remains the leading preventable cause of morbidity and mortality in the United States. Novel interventions are needed to improve smoking cessation rates. Mindfulness-based interventions (MBIs) for cessation address tobacco use by increasing awareness of the automatic nature of smoking and related behaviors (eg, reactivity to triggers for smoking) from a nonjudgmental stance. Delivering MBIs for smoking cessation via innovative technologies allows for flexibility in the timing of intervention delivery, which has the potential to improve the efficacy of cessation interventions. Research shows MBIs target key mechanisms in the smoking cessation process and can be used to minimize drivers of smoking lapse.

Objective: This single-arm study investigated the impact of mindfulness-based strategies and motivational messages on proximal outcomes, collected via ecological momentary assessment (EMA), relevant to tobacco abstinence via a microrandomized trial. This approach allows for the evaluation of intervention content on proximal outcomes (eg, reduced negative affect) that are thought to impact positive distal outcomes (eg, smoking abstinence).

Methods: All participants were motivated to quit smoking, and the intervention they received included nicotine replacement therapy, brief individual counseling, and a 2-week Just-in-Time Adaptive Intervention (JITAI) with wearable sensors. Throughout the JITAI period, a single strategy was randomly pushed (vs not) multiple times per day through the smartphone application. An EMA next assessed negative affect, positive affect, mindfulness, abstinence self-efficacy, motivation to quit, craving, and smoking motives. The primary analyses evaluated differences in EMA outcomes (proximal) for when a strategy was pushed versus not pushed. Additional analyses evaluated changes in similar outcomes collected from surveys at the baseline and end-of-treatment visits.

Results: Participants (N=38) were 63% (24/38) female, 18% (7/38) Hispanic or Latino, and 29% (11/38) African American. They had an average age of 49 years and smoked an average of 15 (SD 7.9) cigarettes per day. Results indicated that receiving the JITAI significantly reduced proximal negative affect in the second (and final) week of the intervention. Self-reports provided at baseline and end of treatment showed significant decreases in perceived stress, automaticity of smoking and craving, and a significant increase in abstinence self-efficacy. Increases in abstinence self-efficacy significantly predicted abstinence.

Conclusions: To our knowledge, this is the first study to test the proximal impact of a mindfulness-based JITAI on key variables associated with smoking cessation. Our primary finding was that negative affect was lower following the completion of a strategy (vs when no strategy was delivered) in the final week of the JITAI. Among a larger sample size, future research should extend the length of the intervention to further evaluate the impact of the JITAI, as well as include a comparison condition to further evaluate how each component of the intervention uniquely impacts outcomes.

Trial registration: ClinicalTrials.gov NCT03404596; https://clinicaltrials.gov/study/NCT03404596.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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