Emergent Anthropometric Indices in Differential Prediction of Prehypertension and Hypertension in Mexican Population: Results according to Age and Sex.


Journal

International journal of hypertension
ISSN: 2090-0384
Titre abrégé: Int J Hypertens
Pays: United States
ID NLM: 101538881

Informations de publication

Date de publication:
2022
Historique:
received: 19 01 2022
revised: 27 05 2022
accepted: 31 05 2022
entrez: 18 7 2022
pubmed: 19 7 2022
medline: 19 7 2022
Statut: epublish

Résumé

Hypertension (HTN) is recognized as a significant public health problem in the world. The objective of this study is to evaluate emergent anthropometric indices as predictors of preHTN and HTN according to age and sex in a sample of Mexican adults. A cross-sectional study was conducted in 1,150 participants aged 18-80 years old. Anthropometric data and blood pressure measurements were analyzed. Comparisons between men and women were carried out by independent analysis. Cutoff points for each emergent anthropometric index were obtained using the values' upper second and third tertiles. Logistic regression models and receiver operating characteristics curve analyses were used to assess the association and the predictive value of several emergent anthropometric indices with the presence of preHTN and HTN. The prevalence of preHTN and HTN was 29.74% and 14.35%, respectively. In a logistic regression analysis adjusted by age and sex, the body roundness index (BRI) (OR = 2.08, CI, PMI, W/Ht

Sections du résumé

Background UNASSIGNED
Hypertension (HTN) is recognized as a significant public health problem in the world. The objective of this study is to evaluate emergent anthropometric indices as predictors of preHTN and HTN according to age and sex in a sample of Mexican adults.
Methods UNASSIGNED
A cross-sectional study was conducted in 1,150 participants aged 18-80 years old. Anthropometric data and blood pressure measurements were analyzed. Comparisons between men and women were carried out by independent analysis. Cutoff points for each emergent anthropometric index were obtained using the values' upper second and third tertiles. Logistic regression models and receiver operating characteristics curve analyses were used to assess the association and the predictive value of several emergent anthropometric indices with the presence of preHTN and HTN.
Results UNASSIGNED
The prevalence of preHTN and HTN was 29.74% and 14.35%, respectively. In a logistic regression analysis adjusted by age and sex, the body roundness index (BRI) (OR = 2.08,
Conclusion UNASSIGNED
CI, PMI, W/Ht

Identifiants

pubmed: 35844253
doi: 10.1155/2022/4522493
pmc: PMC9283069
doi:

Types de publication

Journal Article

Langues

eng

Pagination

4522493

Informations de copyright

Copyright © 2022 Oscar Zaragoza-García et al.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

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Auteurs

Oscar Zaragoza-García (O)

Faculty of Chemical-Biological Sciences, Universidad Autónoma de Guerrero, Chilpancingo 39087, Guerrero, Mexico.

Ilse Adriana Gutiérrez-Pérez (IA)

Faculty of Chemical-Biological Sciences, Universidad Autónoma de Guerrero, Chilpancingo 39087, Guerrero, Mexico.

Pedro Delgado-Floody (P)

Department of Physical Education, Sport, and Recreation, Universidad de La Frontera, Temuco 4780000, Chile.

Isela Parra-Rojas (I)

Faculty of Chemical-Biological Sciences, Universidad Autónoma de Guerrero, Chilpancingo 39087, Guerrero, Mexico.

Daniel Jerez-Mayorga (D)

Exercise and Rehabilitation Sciences Laboratory, School of Physical Therapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago 7591538, Chile.
Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada 18011, Spain.

Christian Campos-Jara (C)

Exercise and Rehabilitation Sciences Laboratory, School of Physical Therapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago 7591538, Chile.

Iris Paola Guzmán-Guzmán (IP)

Faculty of Chemical-Biological Sciences, Universidad Autónoma de Guerrero, Chilpancingo 39087, Guerrero, Mexico.

Classifications MeSH