Abstract
BACKGROUND: Coronary heart disease (CHD) was a leading cause of death worldwide, and the offspring of patients with early-onset CHD faced an elevated risk of cardiovascular disease (CVD). Identifying modifiable short-term risk factors in this high-risk population and developing individualized interventions were crucial for early prevention. This study aimed to clarify the independent risk factors for CVD among the offspring of CHD patients and construct a personalized health education pathway integrated with digital health technologies. METHODS: This study was a retrospective analysis that enrolled 88 offspring of CHD patients, who were divided into an intervention group (IG, n = 52) and a control group (CG, n = 36). Baseline physiological indicators, laboratory test results, and follow-up data at 3 and 6 months were collected. Univariate analysis and multivariate Logistic regression analysis were used to screen for independent risk factors, and a targeted health management pathway was constructed accordingly. RESULTS: Univariate analysis showed significant differences between the IG and CG in age, height, weight, waist circumference, and blood lipid levels (P < 0.05). Multivariate regression analysis identified the 3-month changes in weight and waist circumference, as well as the 3-month levels of low-density lipoprotein cholesterol (LDL-C) and total cholesterol (CHOL), as independent risk factors for CVD. Reductions in weight and waist circumference exerted a protective effect, while elevated LDL-C and CHOL levels increased the risk of CVD. CONCLUSION: This study clarified the key short-term independent cardiovascular risk factors in the offspring of CHD patients. The constructed personalized health pathway focused on weight/waist circumference control and blood lipid regulation, integrating diet, exercise, medication, psychological support, and digital health technologies. It provided a feasible and targeted intervention framework for the early prevention of CVD in this high-risk population, addressing the limitations of generalized interventions in existing studies.