基于智能穿戴设备和互联网络的社区慢病管理在社区高血压病人健康管理中的应用效果  

Effects of community-based chronic disease management based on smart wearable devices and the Internet in the health management of hypertensive patients in the community

作　　者：陶杨[1] 张勇[2] 钟韵 吴小花[1] 曾德唯[1] 田渝[1] Tao Yang;Zhang Yong;Zhong Yun;Wu Xiaohua;Zeng Dewei;Tian Yu(Nan'an District Center for Disease Control and Prevention,Chongqing 400067,China;School of Public Health and Management,Chongqing Medical University,Chongqing 400016,China)

机构地区：[1]重庆市南岸区疾病预防控制中心,重庆400067 [2]重庆医科大学公共卫生与管理学院,重庆400016

出　　处：《保健医学研究与实践》2022年第4期134-137,145,共5页Health Medicine Research and Practice

基　　金：重庆市2018年科卫联合医学科研项目(2018MSXM068);重庆科学技术委员会基础与前沿技术研究项目(cstc2016jcyjA0127)。

摘　　要：目的探讨基于智能穿戴设备和互联网络的社区慢病管理在社区高血压病人健康管理中的应用效果。方法采用多级整群抽样方法于2018年7月—2019年7月从重庆市南岸区6个社区选取研究对象。每个社区选取符合条件的受试者50人,采用随机数字表法将研究对象分为对照组和干预组,各150人。对照组研究对象采用符合国家现行规定和要求的常规高血压慢病管理。干预组研究对象采用基于智能穿戴设备和互联网络的社区慢病管理。采用自制的问卷收集研究对象的相关资料,其中问卷中体成分(体成分包括体质量、肌肉量、内脏脂肪等级、骨量、体脂率、体内水分、身体得分)和血压在干预前后均需要采集,其他资料均在干预后采集。结果经过6个月的干预,干预组完成随访的有99人,对照组完成随访的有102人。2组研究对象的失访率比较,差异无统计学意义(P>0.05)。2组研究对象年龄、身高、文化程度等一般资料比较,差异均有统计学意义(P<0.05)。2组研究对象体质量、体质指数等均高于干预前,差异有统计学意义(P<0.05)。采用倍差法回归分析干预对体质量、血压和体成分的净效应,结果显示相对于对照组,干预组的净效应是明显减少身体内脏脂肪等级评分(P<0.05)。同时也可以看到干预在改变2组研究对象体质量、血压、肌肉量、骨量、体脂率和身体得分上的净效应没有统计学意义(P>0.05)。结论基于智能穿戴设备和互联网络的社区慢病管理方式对高血压的控制有辅助作用,尤其是改变高血压患者的内脏脂肪等级评分,后续还应开展深入研究,以明确其长期效果和成本效益。Objective To explore the effects of community-based chronic disease management based on smart wearable devices and the Internet in the health management of hypertensive patients in the community.Methods The multistage cluster sampling method was used to enroll study subjects from six communities in Nan'an Dis-trict,Chongqing,from July 2018 to July 2019.Fifty eligible subjects were selected from each community,and the random number table method was used to divide the study subjects into a control group and an intervention group,150 cases each.The subjects in the control group were subjected to conventional hypertension chronic dis-ease management in accordance with the current national regulations and requirements.The subjects in the inter-vention group received community-based chronic disease management based on smart wearable devices and the In-ternet.A self-made questionnaire was used to collect relevant information from the study subjects.Data for body composition(body composition including body mass,muscle mass,visceral fat index,bone mass,body fat per-centage,body water,and body score)and blood pressure were collected before and after the intervention,and all other information was collected after the intervention.Results After 6 months of intervention,99 subjects in the intervention group completed follow-up and 102 subjects in the control group completed follow-up.The difference between the two groups in this regard was not statistically significant(P>0.05).The difference between the two groups was statistically significant(P<0.05)when comparing general information like age,height,and ed-ucation level.The body mass and body mass index of subjects in both groups were higher than those before the intervention,and the differences were statistically significant(P<0.05).The net effect of the intervention on body mass,blood pressure,and body composition was analyzed using double-difference regression,and the re-sults showed that the net effect in the intervention group was a significant reduction in body visceral

关 键 词：移动医疗 高血压 身体成分 慢病管理 

分 类 号：R51[医药卫生—内科学]