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心血管病防治知识 ›› 2019, Vol. 9 ›› Issue (21): 44-47.

• 论著/社区人群防治 • 上一篇    下一篇

远程管理模式对广州市机关血压正常高值人群血压及代谢指标的影响

孙永红1, 刘娜1, 易正蓉1, 曾佩1, 易月婵2,*   

  1. 1、广州市第十一人民医院/广州市干部疗养院,广东 广州510530;
    2、南方医科大学附属佛山医院,广东 佛山528000
  • 出版日期:2019-11-15 发布日期:2020-09-22
  • 通讯作者: *易月婵,1976年生,女,硕士学历,副主任医师,主要从事心血管疾病诊和健康管理工作。
  • 作者简介:孙永红,1975年生,女,硕士学历,主治医师,主要从事心血管疾病诊治及健康管理工作。
  • 基金资助:
    广州市卫生局医药卫生科技项目,项目编号20161A010115

Effect of remote management mode on blood pressure and metabolic markers among individuals with high-normal blood pressure from government departments of Guangzhou, China

SUN Yong-hong1, LIU Na1, YI Zheng-rong1, ZENG Pei1, YI Yue-chan1,2,*   

  1. 1. Physical Examination Center, The Eleventh People's Hospital of Guangzhou, Guangzhou 510530, China;
    2. Foshan Hospital Affiliated to Southern Medical University,Foshan 528000, China
  • Online:2019-11-15 Published:2020-09-22

摘要: 目的 远程管理模式对广州市机关血压正常高值人群血压及代谢指标的影响。方法 选取2016年5月至2017年5月发现的血压正常高值人群,将符合条件的500例25-60岁血压正常高值人群纳入本次随访研究,随机分为干预组(远程血压管理)和对照组(常规血压管理),于入选时及研究的6个月、12个月进行随访。随访时测身高、体重、腰臀围、血压、空腹血糖及血脂,期间干预组远程监测患者血压,进行生活方式干预。结果 在随访12个月后,两组组间体重指数、收缩压、舒张压、空腹血糖(FBG)、总胆固醇(TC)、甘油三酯(TG)、高密度脂蛋白胆固醇(HDL-C)和低密度脂蛋白胆固醇(LDL-C)比较,差异有统计学意义(P<0.05)。干预组在健康行为改善,血压控制方面均高于对照组,差异有统计学意义(P<0.05)。结论 远程管理能使自我管理效能增加,在降低高血压患病率和控制心血管危险因素,在预防心血管事件发生方面具有重要的临床意义。

关键词: 血压正常高值, 代谢指标, 远程管理

Abstract: Objective To investigate the effect of remote management mode on blood pressure and metabolic markers among individuals with high-normal blood pressure from government departments of Guangzhou, China. Methods Among the individuals who were found to have high-normal blood pressure from May 2016 to May 2017, 500 individuals aged 25-60 years, who met the inclusion criteria, were enrolled in this follow-up study and were randomly divided into intervention group (remote blood pressure management) and control group (conventional blood pressure management), and follow-up was performed at the time of enrollment and at 6 and 12 months of the study. Body height, body weight, waist/hip circumference, blood pressure, fasting blood glucose, and blood lipids were measured at follow-up, and the intervention group was given remote monitoring of blood pressure and lifestyle intervention. Results After 12 months of follow-up, there were significant differences between the two groups in body mass index, systolic pressure, diastolic pressure, fasting blood glucose, total cholesterol, triglyceride, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol (P<0.05). Compared with the control group, the intervention group had significantly better improvement in health behaviors and blood pressure control (P<0.05). Conclusion Remote management can increase self-management efficiency and has important clinical significance in reducing the prevalence rate of hypertension, controlling the risk factors for cardiovascular diseases, and preventing cardiovascular events.

Key words: High-normal blood pressure, Metabolic marker, Remote management