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可穿戴设备在炎症性肠病患者动态监测与管理中应用的范围综述

The application of wearable devices in dynamic monitoring and management of patients with inflammatory bowel disease:a scoping review

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【作者】 李秋桦傅桂芬蒋建华尹丹左静刘艳群

【Author】 LI Qiuhua;FU Guifen;JIANG Jianhua;YIN Dan;ZUO Jing;LIU Yanqun;School of Nursing,Guangxi University of Chinese Medicine;the People’s Hospital of Guangxi Zhuang Autonomous Region;Department of Gastroenterology,the People’s Hospital of Guangxi Zhuang Autonomous Region;

【通讯作者】 傅桂芬;

【机构】 广西中医药大学护理学院广西壮族自治区人民医院广西壮族自治区人民医院消化内科

【摘要】 目的 对可穿戴设备在炎症性肠病(inflammatory bowel disease,IBD)患者动态监测及管理中应用的研究进行范围审查,为IBD患者智慧健康管理提供参考。方法 系统检索PubMed、Embase、Web of Science、CINAHL、Cochrane Library、中国知网、万方数据库、维普数据库和中国生物医学文献数据库中的相关研究,检索时限为建库至2025年8月。对纳入文献进行汇总和分析。结果 共纳入33篇文献,可穿戴设备的应用形式包括运动监测型设备、健康监测型设备和娱乐交互型设备;监测指标包含身体活动、睡眠、心率、炎症因子和肠鸣音;应用内容涉及生理健康监测、数字生物标志物监测、运动干预、早期肠内营养和心理干预。结论 可穿戴设备可实时动态监测IBD患者的生理健康指标,早期识别和预警健康风险,为数智化精准健康管理提供多模态数据,未来仍需开展大样本、高质量的研究,为临床护理实践提供更高质量的证据支持。

【Abstract】 Objective To conduct a scoping review of studies on the application of wearable devices in dynamic monitoring and management of patients with inflammatory bowel disease(IBD),so as to provide references for intelligent health management of IBD patients. Methods A literature search was performed in the Pub Med,Embase,Web of Science,CINAHL,Cochrane Library,CNKI,Wanfang,VIP,and CBM databases to identify relevant studies from the establishment of databases to August 2025. The included literature was summarized and analyzed.Results A total of 33 articles were included. The application forms of wearable devices included motion monitoring devices,health monitoring devices and entertainment interactive devices. The monitored indicators included physical activity,sleep,heart rate,inflammatory factors and bowel sounds. The scope of application involved physiological health monitoring,digital biomarker monitoring,exercise intervention,early enteral nutrition and psychological intervention. Conclusion Wearable devices can dynamically monitor physiological health indicators of IBD patients in real time,early identify and warn health risks,and provide multimodal data for accurate health management of digital intelligence. It is necessary to conduct large-sample,high-quality and long-term follow-up studies to provide higher quality evidence support for this field in the future.

【基金】 广西自然科学基金项目(2025GXNSFBA069229)~~
  • 【文献出处】 中华护理杂志 ,Chinese Journal of Nursing , 编辑部邮箱 ,2026年08期
  • 【分类号】R473.5
  • 【下载频次】661
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