Evidence map›Paper›PMID 38037836›Full record

ArticleCurrent hypertension reviews2024

The Novelty of using Obesity Indices as Blood Pressure Predictors.

Buthaina Alkhatib, Lana M Agraib, Islam Al-Shami, Anfal Al-Dalaeen

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Article in Current hypertension reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Buthaina AlkhatibDepartment of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan.
Lana M AgraibDepartment of Food Science and Nutrition, Faculty of Agriculture, Jerash University, Jerash, Jordan.
Islam Al-ShamiDepartment of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan.
Anfal Al-DalaeenDepartment of Clinical Nutrition and Dietetics, Faculty of Allied Medical Sciences, Applied Science Private University, Amman 11931, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo study the association between selected obesity indices, systolic blood pressure (SBP), and diastolic blood pressure (DBP).

methodsA cross-sectional study on 491 Jordanian adults (19-65 years old). The sociodemographic data, anthropometrics, and blood pressure were measured and recorded. Obesity indices (Conicity Index (CI), Abdominal volume index (AVI), Body Roundness Index (BRI), and Weight-adjusted-waist index (WWI)) were calculated using standard validated formulas.

resultsBased on age, the SBP had a significant moderate correlation with BRI and AVI in all age groups. In the age group 20 to 34 years, SBP had a significantly moderate correlation with CI, and DBP had a significantly moderate correlation with BRI and AVI. In the age group 35 to 44 years, DBP had a significantly moderate correlation with CI, BRI, WWI, and AVI. For the age group 45 to 65 years, the SBP had a significantly moderate correlation with all the obesity indexes, opposite to DBP. Obesity indices explain 23.6% to 24.1% of the changeability in SBP, and one unit increase in them resulted in an increase in SBP range from 0.61 ± 0.14 to 19.88 ± 4.45. For DBP, obesity indices explained 15.9% to 16.3% of the variability in DBP, and raising them by one unit led to an increase in the DBP range from 0.27 ± 0.11 to 10.08 ± 4.83.

conclusionAll the studied obesity indices impacted SBP and DBP with the highest reported effect for AVI and BRI and a lower impact for WWI. The impact of obesity indices on DBP was affected by age group.

Indexed as

Blood PressureHypertensionObesityAdultAgedAge FactorsBody Mass IndexCross-Sectional StudiesFemaleHumansJordanMaleMiddle AgedPredictive Value of TestsRisk FactorsYoung Adultcardiovascular disease.conicity indexdiastolic blood pressurehypertensionobesity indicesSystolic blood pressure

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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 Socratic graph.