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Dataset Information

Establishment of hypertension risk nomograms based on physical fitness parameters for men and women: a cross-sectional study.


ABSTRACT:

Objective

This study aims to establish hypertension risk nomograms for Chinese male and female adults, respectively.

Method

A series of questionnaire surveys, physical assessments, and biochemical indicator tests were performed on 18,367 adult participants in China. The optimization of variable selection was conducted by running cyclic coordinate descent with 10-fold cross-validation through the least absolute shrinkage and selection operator (LASSO) regression. The nomograms were built by including the predictors selected through multivariable logistic regression. Calibration plots, receiver operating characteristic curves (ROC), decision curve analysis (DCA), clinical impact curves (CIC), and net reduction curve plots (NRC) were used to validate the models.

Results

SUBMITTER: Xu Y 

PROVIDER: S-EPMC10523331 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature