Establishment of hypertension risk nomograms based on physical fitness parameters for men and women: a cross-sectional study.
LASSO
hypertension
nomogram
physical fitness
predictive model
risk factor
Journal
Frontiers in cardiovascular medicine
ISSN: 2297-055X
Titre abrégé: Front Cardiovasc Med
Pays: Switzerland
ID NLM: 101653388
Informations de publication
Date de publication:
2023
2023
Historique:
received:
02
02
2023
accepted:
28
08
2023
medline:
29
9
2023
pubmed:
29
9
2023
entrez:
29
9
2023
Statut:
epublish
Résumé
This study aims to establish hypertension risk nomograms for Chinese male and female adults, respectively. 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. Out of a total of 18 variables, 5 predictors-namely age, body mass index, waistline, hipline, and resting heart rate-were identified for the hypertension risk predictive model for men with an area under the ROC of 0.693 in the training set and 0.707 in the validation set. Seven predictors-namely age, body mass index, body weight, cardiovascular disease history, waistline, resting heart rate, and daily activity level-were identified for the hypertension risk predictive model for women with an area under the ROC of 0.720 in the training set and 0.748 in the validation set. The nomograms for both men and women were externally well-validated. Gender differences may induce heterogeneity in hypertension risk prediction between men and women. Besides basic demographic and anthropometric parameters, information related to the functional status of the cardiovascular system and physical activity appears to be necessary.
Identifiants
pubmed: 37771672
doi: 10.3389/fcvm.2023.1152240
pmc: PMC10523331
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1152240Informations de copyright
© 2023 Xu, Shi, Sun, Munivrana, Liang, István, Radak, Baker and Gu.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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