Evidence map›Paper›PMID 35543312›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2022

Body mass index is superior to other body adiposity indexes in predicting incident hypertension in a highly admixed sample after 10-year follow-up: The Baependi Heart Study.

Camila Maciel de Oliveira, Francielle França da Rosa, Rafael de Oliveira Alvim, Carlos Alberto Mourão Junior, Mercedes Bacells, Chunyu Liu, Jessica Pavani, Robson Capasso, Fernando Augusto Lavezzo Dias, José Eduardo Krieger and 1 more

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Cardiovascular Statistics - Brazil 2023.Arquivos brasileiros de cardiologia · 2024
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Camila Maciel de OliveiraSchool of Medicine, Stanford University, Stanford, USA.ORCID 0000-0001-6823-7395
Francielle França da RosaPostgraduate Program in Physiology, Federal University of Paraná (UFPR), Curitiba, PR, Brazil.ORCID 0000-0003-0198-0779
Rafael de Oliveira AlvimDepartment of Physiological Sciences, Federal University of Amazonas, Manaus, Brazil.ORCID 0000-0003-3150-4239
Carlos Alberto Mourão JuniorDepartment of Physiology, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Mercedes BacellsInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, USA.
Chunyu LiuFramingham Heart Study, Framingham, USA.
Jessica PavaniDepartment of Statistics of Pontificia, Universidad Católica de Chile, Santiago, Chile.
Robson CapassoSchool of Medicine, Stanford University, Stanford, USA.
Fernando Augusto Lavezzo DiasDepartment of Physiology, Federal University of Paraná (UFPR), Curitiba, PR, Brazil.
José Eduardo KriegerSchool of Medicine, Stanford University, Stanford, USA.
Alexandre Costa PereiraSchool of Medicine, Stanford University, Stanford, USA.

Funding

Leveraging a Unique existing Cohort to elucidate the Link between sleep and cardio-metabolic diseaseR01HL141881 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KNUTSON, KRISTEN · 2019 to 2022
$2.7M
NHLBI NIH HHS R01 HL141881
6 · The paper itself

Abstract

Hypertension is the leading cause of overall mortality in low- and middle-income countries. In Brazil, there is paucity of data on the determinants of incident hypertension and related risk factors. We aimed to determine the incidence of hypertension in a sample from the Brazilian population and investigate possible relationships with body adiposity indexes. We assessed risk factors associated with cardiovascular disease, including adiposity body indexes and biochemical analysis, in a sample from the Baependi Heart Study before and after a 10-year follow-up. Hypertension was defined by the presence of systolic blood pressure (SBP) ≥140 mmHg and/or diastolic blood pressure ≥90 mmHg or the use of antihypertensive drugs. From an initial sample of 1693 participants, 498 (56% women; mean age 38 ± 13 years) were eligible to be included. The overall hypertension incidence was 24.3% (22.3% in men and 25.6% in women). Persons who developed hypertension had higher prevalence of obesity, higher levels for blood pressure, higher frequency of dyslipidemia, and higher body adiposity indexes at baseline. The best prediction model for incident hypertension includes age, sex, HDL-c, SBP, and Body Mass Index (BMI) [AUC = 0.823, OR = 1.58 (95% CI 1.23-2.04)]. BMI was superior in its predictive capacity when compared to Body Adiposity Index (BAI), Body Roundness Index (BRI), and Visceral Adiposity Index (VAI). Incident hypertension in a sample from the Brazilian population was 24.3% after 10-year follow-up and BMI, albeit the simpler index to be calculated, is the best anthropometric index to predict incident hypertension.

Indexed as

AdiposityHypertensionAdultBlood PressureBody Mass IndexFemaleHumansMaleMiddle AgedObesityRisk FactorsWaist Circumferenceblood pressurebody mass indexepidemiologyfollow-up studieshumanshypertensionlogistic modelsrisk factors

Identifiers

PMID35543312
PMCPMC9180336

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.