Risk assessment and intervention effect of WeChat platform-based health management in high-risk populations for cardiovascular disease
10.3760/cma.j.cn115624-20250715-00596
- VernacularTitle:微信平台健康管理对心血管病高危人群的风险评估与干预效果
- Author:
Xiaoxiang MA
1
;
Zhengwei WAN
;
Jiulin LI
;
Jinrui HE
;
Feiyang FAN
;
He LI
;
Yang CHEN
;
Wanjing CHEN
;
Jinyu WANG
;
Yanhua YANG
Author Information
1. 四川省医学科学院·四川省人民医院（电子科技大学附属医院）健康管理中心/健康管理研究所，成都 610072
- Publication Type:Journal Article
- Keywords:
Cardiovascular disease;
High-risk population;
WeChat platform;
Health management;
10-year incidence risk;
Intervention effect
- From:
Chinese Journal of Health Management
2025;19(9):693-699
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the risk assessment and intervention effect of WeChat platform-based health management in high-risk populations for cardiovascular diseases (CVD).Methods:It was a randomized controlled trial. A total of 480 individuals at high risk of CVD who underwent physical examinations at the Health Management Center of Sichuan Provincial People′s Hospital from February to April in 2023 were selected using a simple random sampling method. The participants were randomly assigned to either the intervention group or the control group (240 cases each) using a random number table. The control group received routine follow-up and health assessments, while the intervention group received an additional 12-month WeChat-based health management intervention. During the study, 28 participants were lost to follow-up, resulting in 227 participants in the intervention group and 225 in the control group being included in the final analysis. The 10-year CVD risk was assessed using the prediction for atherosclerotic cardiovascular disease risk in China (China-PAR) model, and psychological status was evaluated using the self-rating anxiety Scale (SAS) and the self-rating depression scale (SDS). Changes in health behaviors, adherence, life style, blood pressure, metabolic indicators, psychological status, and CVD risk were compared before and after the intervention in both groups to evaluate the intervention′s effectiveness.Results:Among the 452 high-risk participants analyzed, the intervention group included 227 individuals [mean age: (53.16±10.81) years; 117 males and 110 females], and the control group included 225 individuals [mean age: (52.60±10.25) years; 118 males and 107 females]. There was no significant differences in baseline characteristics between the two groups (all P>0.05). After 12 months of intervention, the intervention group showed significant improvements in medication adherence, intake of vegetables and fruits, exercise duration, sleep time, proportion of regular lifestyle, and high density lipoprotein cholesterol (HDL-C) levels, all of which were all higher than both the baseline values and those in the control group (all P<0.05). Conversely, the intervention group showed reductions in medical visit rate, smoking and drinking rates, high-salt diet, meat intake, body mass index (BMI), fasting blood glucose, systolic and diastolic blood pressure, low density lipoprotein cholesterol (LDL-C), total cholesterol, triglycerides, SAS and SDS scores when compared to the baseline values and those in the control group (all P<0.05). The proportions of participants with 10-year CVD risk levels of 10%-<20%, 20%-<30%, 30%-<40%, and ≥40% significantly decreased in the intervention group after intervention (18.94% vs 36.12%, 12.78% vs 26.43%, 7.93% vs 19.82%, 3.96% vs 17.63%), and were also significantly lower than those in the control group (18.94% vs 40.45%, 12.78% vs 30.67%, 7.93% vs 22.67%, 3.96% vs 16.89%) (all P<0.001). After 12 months, the intervention group showed significantly higher improvement rates in both medication adherence and non-medication-related compliance behaviors, including smoking, alcohol consumption, meat and salt intake, fruit and vegetable intake, exercise duration, sleep duration, and lifestyle regularity, when compared to those in the control group (16.74% vs -3.11%, 14.54% vs -0.89%, 16.74% vs -0.44%, 57.71% vs 8.44%, 21.15% vs -0.44%, 56.83% vs -6.67%, 51.54% vs -3.56%, 60.79% vs -7.11%, 26.87% vs -13.78%, 22.91% vs -1.78%) (all P<0.001). Conclusion:The WeChat platform-based health management intervention can effectively improve the behavioral patterns, compliance, control of CVD risk factors and psychological status of high-risk populations for CVD, and help reduce their 10-year risk of CVD.
