Development of stroke predictive model in community-dwelling population: A longitudinal cohort study in Southeast China

• DOI: 10.3389/fnagi.2022.1036215
• Publication Date: 2022-12-22T07:19:50Z
• Authors: Qi Wang; Lulu Zhang; Yidan Li; Xiang Tang; Ye Yao; Qi Fang
• Keywords: Stroke; Longitudinal Study

Stroke has been the leading cause of death and disability in world. Early recognition treatment stroke could effectively limit brain damage vastly improve outcomes. This study aims to develop a highly accurate prediction model with list lifestyle behaviors clinical characteristics distinguish high-risk groups community-dwelling population.Participants this longitudinal cohort came from population Suzhou between November 2018 June 2019. A total 4,503 residents participated study, while happened 22 participants 2-year follow-up period. Baseline information each participant was acquired enrolled study. T-test, Chi-square test, Fisher's exact test were used examine relationship these indexes stroke, scale constructed by multivariate logistic regression afterward. Receiver operating characteristic analysis applied testify accuracy.A age, gender, exercise, meat vegetarian diet, BMI, waist circumference, systolic blood pressure, Chinese visceral adiposity index, waist-height ratio. Two additional models for overweight non-overweight individuals formulated based on crucial risk factors, respectively. The populations had accuracies 0.79 0.82, severally. Gender exercise significant predictors (χ2 > 4.57, p < 0.05) model, homocysteine = 4.95, model.The predictive predict high accuracy. provided an effective tool identifying supplied guidance improving prevention strategies population.