PDF(Pubmed)
Abstract：
UNASSIGNED: Sleep quality is a crucial concern, particularly among youth. The integration of health coaching with question-answering (QA) systems presents the potential to foster behavioural changes and enhance health outcomes. This study proposes a novel human-AI sleep coaching model, combining health coaching by peers and a QA system, and assesses its feasibility and efficacy in improving university students\' sleep quality.
UNASSIGNED: In a four-week unblinded pilot randomised controlled trial, 59 university students (mean age: 21.9; 64% males) were randomly assigned to the intervention (health coaching and QA system; n = 30) or the control conditions (QA system; n = 29). Outcomes included efficacy of the intervention on sleep quality (Pittsburgh Sleep Quality Index; PSQI), objective and self-reported sleep measures (obtained from Fitbit and sleep diaries) and feasibility of the study procedures and the intervention.
UNASSIGNED: Analysis revealed no significant differences in sleep quality (PSQI) between intervention and control groups (adjusted mean difference = -0.51, 95% CI: [-1.55-0.77], p = 0.40). The intervention group demonstrated significant improvements in Fitbit measures of total sleep time (adjusted mean difference = 32.5, 95% CI: [5.9-59.1], p = 0.02) and time in bed (adjusted mean difference = 32.3, 95% CI: [2.7-61.9], p = 0.03) compared to the control group, although other sleep measures were insignificant. Adherence was high, with the majority of the intervention group attending all health coaching sessions. Most participants completed baseline and post-intervention self-report measures, all diary entries, and consistently wore Fitbits during sleep.
UNASSIGNED: The proposed model showed improvements in specific sleep measures for university students and the feasibility of the study procedures and intervention. Future research may extend the intervention period to see substantive sleep quality improvements.
UNASSIGNED: In a four-week unblinded pilot randomised controlled trial, 59 university students (mean age: 21.9; 64% males) were randomly assigned to the intervention (health coaching and QA system; n = 30) or the control conditions (QA system; n = 29). Outcomes included efficacy of the intervention on sleep quality (Pittsburgh Sleep Quality Index; PSQI), objective and self-reported sleep measures (obtained from Fitbit and sleep diaries) and feasibility of the study procedures and the intervention.
UNASSIGNED: Analysis revealed no significant differences in sleep quality (PSQI) between intervention and control groups (adjusted mean difference = -0.51, 95% CI: [-1.55-0.77], p = 0.40). The intervention group demonstrated significant improvements in Fitbit measures of total sleep time (adjusted mean difference = 32.5, 95% CI: [5.9-59.1], p = 0.02) and time in bed (adjusted mean difference = 32.3, 95% CI: [2.7-61.9], p = 0.03) compared to the control group, although other sleep measures were insignificant. Adherence was high, with the majority of the intervention group attending all health coaching sessions. Most participants completed baseline and post-intervention self-report measures, all diary entries, and consistently wore Fitbits during sleep.
UNASSIGNED: The proposed model showed improvements in specific sleep measures for university students and the feasibility of the study procedures and intervention. Future research may extend the intervention period to see substantive sleep quality improvements.
摘要：
■睡眠质量是一个至关重要的问题，尤其是在年轻人中。健康教练与问答（QA）系统的整合提供了促进行为改变和增强健康结果的潜力。这项研究提出了一种新的人类-人工智能睡眠教练模型，将同行的健康指导和质量保证系统相结合，并评估其在提高大学生睡眠质量方面的可行性和有效性。
■在一项为期四周的非盲性随机对照试验中，59名大学生（平均年龄：21.9；男性64％）被随机分配到干预措施（健康教练和QA系统；n=30）或控制条件（QA系统；n=29）。结果包括干预对睡眠质量的疗效（匹兹堡睡眠质量指数；PSQI），客观和自我报告的睡眠测量（从Fitbit和睡眠日记中获得）以及研究程序和干预措施的可行性。
■分析显示干预组和对照组之间的睡眠质量（PSQI）没有显着差异（调整后的平均差异=-0.51，95％CI：[-1.55-0.77]，p=0.40）。干预组显示出Fitbit测量总睡眠时间的显着改善（调整平均差异=32.5，95％CI：[5.9-59.1]，p=0.02）和卧床时间（调整后平均差=32.3，95%CI：[2.7-61.9]，p=0.03）与对照组相比，尽管其他睡眠指标微不足道。依从性很高，大多数干预组参加了所有的健康辅导课程。大多数参与者完成了基线和干预后的自我报告措施，所有日记条目，并且在睡眠期间始终穿着Fitbits。
■提出的模型显示了针对大学生的特定睡眠措施的改善以及研究程序和干预措施的可行性。未来的研究可能会延长干预期，以看到睡眠质量的实质性改善。
■在一项为期四周的非盲性随机对照试验中，59名大学生（平均年龄：21.9；男性64％）被随机分配到干预措施（健康教练和QA系统；n=30）或控制条件（QA系统；n=29）。结果包括干预对睡眠质量的疗效（匹兹堡睡眠质量指数；PSQI），客观和自我报告的睡眠测量（从Fitbit和睡眠日记中获得）以及研究程序和干预措施的可行性。
■分析显示干预组和对照组之间的睡眠质量（PSQI）没有显着差异（调整后的平均差异=-0.51，95％CI：[-1.55-0.77]，p=0.40）。干预组显示出Fitbit测量总睡眠时间的显着改善（调整平均差异=32.5，95％CI：[5.9-59.1]，p=0.02）和卧床时间（调整后平均差=32.3，95%CI：[2.7-61.9]，p=0.03）与对照组相比，尽管其他睡眠指标微不足道。依从性很高，大多数干预组参加了所有的健康辅导课程。大多数参与者完成了基线和干预后的自我报告措施，所有日记条目，并且在睡眠期间始终穿着Fitbits。
■提出的模型显示了针对大学生的特定睡眠措施的改善以及研究程序和干预措施的可行性。未来的研究可能会延长干预期，以看到睡眠质量的实质性改善。
