Zhu Hongrui, Xiao Lin, Tu Aixian
Hainan Medical University, 3 Xueyuan Road, Chengxi District, Haikou, 571199, Hainan, China.
Southern Medical University, 1023 Shatai South Road, Baiyun District, Guangzhou, 510515, Guangdong, China.
Sleep Med. 2022 Mar;91:141-150. doi: 10.1016/j.sleep.2022.02.013. Epub 2022 Feb 28.
The aim of this systematic review and meta-analysis was to analyze the characteristics and effectiveness of technology-based interventions in improving children sleep.
PubMed, Embase, PsycInfo, CENTRAL and Web of Science were searched to identify research articles published until 11 August 2021. The protocol for this study was registered with PROSPERO (CRD42021272348). Articles screening, data extraction and quality assessment were carried out by two independent reviewers.
In total, the search generated 4597 studies. Of these, 15 studies (8 RCTs, 1 non-randomized control study and 6 pre-post studies) met our inclusion criteria. The meta-analysis indicated that technology-based interventions significantly increased the TST (SMD = 0.21, 95% CI = 0.06, 0.37; P = 0.007) and SE (SMD = 0.52, 95% CI = 0.17, 0.87; P = 0.003), and significantly decreased the SOL (SMD = -0.30, 95% CI = -0.47, -0.12; P = 0.001) and WASO (SMD = -0.33, 95% CI = -0.59, -0.07; P = 0.012).
This systematic review and meta-analysis suggests that technology-based interventions may be effective at improving children sleep due to the advantages of online intervention. Further researches are needed to establish which technology components are most effective in improving children sleep, as well as explore better methods for increasing consistency of participation and accuracy of outcome evaluation.
本系统评价和荟萃分析旨在分析基于技术的干预措施在改善儿童睡眠方面的特征和效果。
检索了PubMed、Embase、PsycInfo、CENTRAL和Web of Science,以识别截至2021年8月11日发表的研究文章。本研究方案已在PROSPERO(CRD42021272348)注册。由两名独立的评审员进行文章筛选、数据提取和质量评估。
总共检索到4597项研究。其中,15项研究(8项随机对照试验、1项非随机对照研究和6项前后对照研究)符合我们的纳入标准。荟萃分析表明,基于技术的干预措施显著增加了总睡眠时间(标准化均数差=0.21,95%置信区间=0.06,0.37;P=0.007)和睡眠效率(标准化均数差=0.52,95%置信区间=0.17,0.87;P=0.003),并显著减少了入睡时间(标准化均数差=-0.30,95%置信区间=-0.47,-0.12;P=0.001)和觉醒时间(标准化均数差=-0.33,95%置信区间=-0.59,-0.07;P=0.012)。
本系统评价和荟萃分析表明,由于在线干预的优势,基于技术的干预措施可能对改善儿童睡眠有效。需要进一步研究以确定哪些技术组件在改善儿童睡眠方面最有效,以及探索提高参与度一致性和结果评估准确性的更好方法。