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Associations between novel anthropometric measures and the prevalence of hypertension among 45,853 adults: A cross-sectional study
AIMS: Traditional anthropometric measures, including body mass index (BMI), are insufficient for evaluating the risk of hypertension. We aimed to investigate the association between novel anthropometric indices and hypertension risk in a large population in the United States. METHODS: Forty-five tho...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669705/ https://www.ncbi.nlm.nih.gov/pubmed/36407444 http://dx.doi.org/10.3389/fcvm.2022.1050654 |
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author | Wu, Li-Da Kong, Chao-Hua Shi, Yi Zhang, Jun-Xia Chen, Shao-Liang |
author_facet | Wu, Li-Da Kong, Chao-Hua Shi, Yi Zhang, Jun-Xia Chen, Shao-Liang |
author_sort | Wu, Li-Da |
collection | PubMed |
description | AIMS: Traditional anthropometric measures, including body mass index (BMI), are insufficient for evaluating the risk of hypertension. We aimed to investigate the association between novel anthropometric indices and hypertension risk in a large population in the United States. METHODS: Forty-five thousand eight hundred fifty-three participants from the National Health and Nutrition Examination Survey (NHANES) (1999–2018) were enrolled. Social demographic information, lifestyle factors, blood biochemical measurements and anthropometric indices, including body weight, body mass index (BMI), waist circumference, waist-to-height ratio (WtHR), conicity index (CI), a body shape index (ABSI), body roundness index (BRI) and lipid accumulation product (LAP) were collected. Multivariable logistic regression and restricted cubic spline were adopted to investigate the associations between hypertension risk and anthropometric indices. We also performed receiver operating characteristic (ROC) curve analyses to further evaluate the discriminatory powers of anthropometric measurements for screening hypertension risk. Moreover, participants were randomly assigned to the training group and the validation group in a ratio of 3 to 1. A nomogram model based on anthropometric measures was established and validated in the training group and validation group, respectively. RESULTS: All of the anthropometric measurements investigated were positively and independently associated with the hypertension risk. Among all anthropometric indices, per-SD increment in ABSI had the highest OR (OR: 3.4; 95% CI: 2.73–4.24) after adjusting for age, sex, race/ethnicity, education, smoking, drinking, diabetes, and eGFR. Moreover, results from restricted cubic splines revealed the non-linear association between anthropometric measurements and hypertension risk. In ROC analyses, CI had superior discriminatory power for hypertension (area under the curve: 0.71; 95% CI: 0.706–0.715; optimal cutoff value: 1.3) compared with other indices. Nomogram model based on age, sex, diabetes, CI and LAP showed favorable predicting ability of hypertension risk with an AUC (95% CI) in training group of 80.2% (79.7–80.6%), and the AUC (95% CI) in validation group was 79.5% (78.3–80.1%). Meanwhile, calibration plot showed good consistency. CONCLUSIONS: Anthropometric measurements including BMI, WtHR, CI, ABSI, BRI and LAP are closely associated with hypertension risk in the present study. For better prevention and treatment of hypertension, more attention should be paid to anthropometric indices, especially novel anthropometric indices. |
format | Online Article Text |
id | pubmed-9669705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96697052022-11-18 Associations between novel anthropometric measures and the prevalence of hypertension among 45,853 adults: A cross-sectional study Wu, Li-Da Kong, Chao-Hua Shi, Yi Zhang, Jun-Xia Chen, Shao-Liang Front Cardiovasc Med Cardiovascular Medicine AIMS: Traditional anthropometric measures, including body mass index (BMI), are insufficient for evaluating the risk of hypertension. We aimed to investigate the association between novel anthropometric indices and hypertension risk in a large population in the United States. METHODS: Forty-five thousand eight hundred fifty-three participants from the National Health and Nutrition Examination Survey (NHANES) (1999–2018) were enrolled. Social demographic information, lifestyle factors, blood biochemical measurements and anthropometric indices, including body weight, body mass index (BMI), waist circumference, waist-to-height ratio (WtHR), conicity index (CI), a body shape index (ABSI), body roundness index (BRI) and lipid accumulation product (LAP) were collected. Multivariable logistic regression and restricted cubic spline were adopted to investigate the associations between hypertension risk and anthropometric indices. We also performed receiver operating characteristic (ROC) curve analyses to further evaluate the discriminatory powers of anthropometric measurements for screening hypertension risk. Moreover, participants were randomly assigned to the training group and the validation group in a ratio of 3 to 1. A nomogram model based on anthropometric measures was established and validated in the training group and validation group, respectively. RESULTS: All of the anthropometric measurements investigated were positively and independently associated with the hypertension risk. Among all anthropometric indices, per-SD increment in ABSI had the highest OR (OR: 3.4; 95% CI: 2.73–4.24) after adjusting for age, sex, race/ethnicity, education, smoking, drinking, diabetes, and eGFR. Moreover, results from restricted cubic splines revealed the non-linear association between anthropometric measurements and hypertension risk. In ROC analyses, CI had superior discriminatory power for hypertension (area under the curve: 0.71; 95% CI: 0.706–0.715; optimal cutoff value: 1.3) compared with other indices. Nomogram model based on age, sex, diabetes, CI and LAP showed favorable predicting ability of hypertension risk with an AUC (95% CI) in training group of 80.2% (79.7–80.6%), and the AUC (95% CI) in validation group was 79.5% (78.3–80.1%). Meanwhile, calibration plot showed good consistency. CONCLUSIONS: Anthropometric measurements including BMI, WtHR, CI, ABSI, BRI and LAP are closely associated with hypertension risk in the present study. For better prevention and treatment of hypertension, more attention should be paid to anthropometric indices, especially novel anthropometric indices. Frontiers Media S.A. 2022-11-03 /pmc/articles/PMC9669705/ /pubmed/36407444 http://dx.doi.org/10.3389/fcvm.2022.1050654 Text en Copyright © 2022 Wu, Kong, Shi, Zhang and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Wu, Li-Da Kong, Chao-Hua Shi, Yi Zhang, Jun-Xia Chen, Shao-Liang Associations between novel anthropometric measures and the prevalence of hypertension among 45,853 adults: A cross-sectional study |
title | Associations between novel anthropometric measures and the prevalence of hypertension among 45,853 adults: A cross-sectional study |
title_full | Associations between novel anthropometric measures and the prevalence of hypertension among 45,853 adults: A cross-sectional study |
title_fullStr | Associations between novel anthropometric measures and the prevalence of hypertension among 45,853 adults: A cross-sectional study |
title_full_unstemmed | Associations between novel anthropometric measures and the prevalence of hypertension among 45,853 adults: A cross-sectional study |
title_short | Associations between novel anthropometric measures and the prevalence of hypertension among 45,853 adults: A cross-sectional study |
title_sort | associations between novel anthropometric measures and the prevalence of hypertension among 45,853 adults: a cross-sectional study |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669705/ https://www.ncbi.nlm.nih.gov/pubmed/36407444 http://dx.doi.org/10.3389/fcvm.2022.1050654 |
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