To explore the effect of Internet+diet self-management intervention technology on the blood pressure control of hypertension high-risk population through the intervention of hypertension high-risk population in Haikou City community, so as to provide scientific evidence for the prevention and treatment of cardiovascular diseases (CVD). The multi-stage cluster sampling method was used, and 295 hypertension high-risk participants were recruited from 15 communities in Haikou City from July to December 2021. The 15 communities were randomly divided into three groups: blank group, traditional group and Internet plus group by random number table method. The blank group referred to the group (99 participants) that did not take special intervention measures but the routine interventions in accordance with the "National Basic Public Health Service Standards (the Third Edition) Health Education Service Standards". On the basis of the blank group, the traditional group (95 participants) was intervened by giving additional traditional methods such as holding lectures and distributing popular science books. The Internet plus group (101 participants) was given additional Internet measures on the basis of the intervention of the traditional group. After 6 months, questionnaires, laboratory biochemical tests, and physical measurements were conducted. SPSS 25.0 software was applied for data analysis. Measurement data that followed normal distribution were statistically described by using mean±standard deviation, analysis of variance was used for inter group comparisons before intervention, analysis of covariance was used for inter group comparisons after intervention, and Bonferroni adjustment was used for pairwise comparisons between groups. Measurement data that did not follow the Normal distribution were represented by M (Q1, Q3). The rank sum test was used for inter group comparison. The k sample Kruskal Wallis single factor ANOVA was used to compare the distribution between different groups. Counting data were described by composition ratio or rate. Under the premise of balanced comparison between groups before intervention, Chi-squared test was used for inter group comparison after intervention, and Bonferroni adjustment method was used for pairwise comparison between groups. The results showed that a total of 295 participants were included, with males accounting for 35.6% (105) and females accounting for 64.4% (190). The age ranged from 55 to 74 years old, with an average age of (64.69±5.73) years. The number of married accounted for 95.6% (282 participants). There were no statistically significant differences in gender, age, family history, education level, occupation, marital status, drinking habits, regular exercise, dietary status, SBP (systolic blood pressure), DBP (diastolic blood pressure), pulse pressure difference, BMI (body mass index), folic acid, and 24-hour urine sodium among the three groups upon enrollment (P values>0.05). After the intervention, the drinking rate was as follows: Internet plus group (29, 28.7%)<traditional group (47, 49.5%)<blank group (66, 66.7%) (χ2=28.948, P<0.001); Regular exercise rate was higher in the Internet plus group (37, 36.6%) than in the traditional group (18, 18.9%) and the blank group (16, 16.2%) (χ2=13.476, P=0.001). After the intervention, compared with the participants in the blank group, the intake of energy, carbohydrate, dietary fiber, sodium and folic acid in the Internet plus group were significantly different (all P<0.05); Compared with the participants in the traditional group, the energy, carbohydrate and dietary fiber intake of the participants in the Internet plus group were significantly different (all P<0.05). After the intervention, the blood pressure levels in the Internet plus group [ SBP: (128.95±6.55) mmHg, DBP: (79.88±5.75) mmHg ] and the traditional group [ SBP: (129.63±8.41) mmHg, DBP: (79.77±7.73) mmHg ] were lower than those in the blank group [ SBP: (132.93±8.41) mmHg, DBP: (82.42±7.76) mmHg ] (SBP: F=9.417, P<0.001; DBP: F=6.967, P=0.001), the 24-hour urinary sodium level in the Internet plus group (143.63±38.58) mmol/24 h was lower than that in the traditional group (163.31±35.67) mmol/24 h and the blank group (154.14±35.52) mmol/24 h (F=11.509, P<0.001). In conclusion, compared with the traditional intervention mode, the "Internet plus diet self-management intervention" mode is more likely to promote the development of a healthy lifestyle for people at high risk of hypertension, effectively improve blood pressure and 24-hour urine sodium level, and facilitate CVD prevention.
