Early intervention to manage high blood pressure (BP) in young adulthood is a promising approach for the prevention of future cardiovascular diseases. We aimed to examine the ability of childhood health information to predict the incidence of young adults with high BP. This cohort study included baseline clinical data of Japanese individuals aged 12–13 years. A total of 1129 participants were followed up for an average of 8.6 years. We examined the association of childhood variables consisting of body weight, body mass index, systolic BP, white blood cell count, red blood cell count, hemoglobin, hematocrit, platelet count, uric acid, total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol with the development of high BP defined as ≥120/80 mmHg at 18–22 years old. At follow-up, the prevalence of high BP was 42.2% in men and 7.7% in women. Young men with high BP had childhood baseline characteristics that included higher body weight, body mass index, systolic BP, red blood cell count, hemoglobin, hematocrit, and uric acid than normotensive men. Young women with high BP had higher body weight, systolic BP, and uric acid at baseline. Multivariable logistic regression analysis revealed that a model including body weight, systolic BP, hematocrit, and uric acid had the highest predictive power (AUC 0.65 [95% CI, 0.62–0.69]) for men, and a model including body weight, systolic BP, and uric acid had the highest predictive power (AUC 0.70 [95% CI, 0.58–0.81]) for women. Comprehensive childhood health information contributes to the prediction of high BP in young adults.
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