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ORIGINAL RESEARCH article

Front. Pharmacol.
Sec. Drugs Outcomes Research and Policies
Volume 15 - 2024 | doi: 10.3389/fphar.2024.1503059
This article is part of the Research Topic Clinical Pharmacist Service Promotes the Improvement of Medical Quality Volume II View all 24 articles

Association Between Anthropometric Indices and Hypertension: Identifying Optimal Cutoff Points for U.S. Adults Across Different Populations

Provisionally accepted
Xueliang Zhang Xueliang Zhang 1*Yan Nie Yan Nie 2Dan Li Dan Li 1Chunhua Zhou Chunhua Zhou 3,4*
  • 1 Department of Pharmacy, The Second Hospital of Hebei Medical University, Shijiazhuang, China
  • 2 Department of Pharmacy, The Third Hospital of Hebei Medical University, Shijiazhuang, China
  • 3 Department of Clinical Pharmacy, The First hospital of Hebei Medical University, Shijiazhuang, China
  • 4 Department of The Technology Innovation Center for Artificial Intelligence in Clinical Pharmacy of Hebei Province, Shijiazhuang, China

The final, formatted version of the article will be published soon.

    Objective: This study compares the relationships between five anthropometric indices, a body shape index (ABSI), body roundness index (BRI), waist circumference (WC), body mass index (BMI) and waist-to-height ratio (WHtR), and hypertension, assessing their predictive capacities. The aim is to determine the specific numerical changes in hypertension incidence, systolic blood pressure (SBP) and diastolic blood pressure (DBP) for each increase in standard deviation of these indices, and to identify the optimal predictive indicators for different populations, including the calculation of cutoff values.Methods: This study used data from the NHANES datasets spanning 2007 to 2018.Logistic regression analysis was used to quantify the associations between these anthropometric indices and hypertension, calculating β coefficients and odds ratios (ORs). Receiver operating characteristic (ROC) analysis was used to evaluate the predictive ability of each index for hypertension.Results: For each increase in standard deviation in WC, BMI, WHtR, ABSI and BRI, the prevalence of hypertension increased by 33% (95% CI: 27%-40%), 32% (95% CI: 26%-38%), 35% (95% CI: 28%-42%), 9% (95% CI: 4%-16%) and 32% (95% CI: 26%-38%), respectively. The SBP correspondingly increased by 2.36 mmHg (95% CI: 2.16-

    Keywords: Hypertension, Anthropometric indices, cutoff points, Hypertension prediction, Stratified analysis

    Received: 28 Sep 2024; Accepted: 29 Nov 2024.

    Copyright: © 2024 Zhang, Nie, Li and Zhou. 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) or licensor 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.

    * Correspondence:
    Xueliang Zhang, Department of Pharmacy, The Second Hospital of Hebei Medical University, Shijiazhuang, China
    Chunhua Zhou, Department of Clinical Pharmacy, The First hospital of Hebei Medical University, Shijiazhuang, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.