Evidence map›Paper›PMID 34795521›Full record

ArticleIntegrated blood pressure control2021

Which anthropometric and metabolic index is superior in hypertension prediction among overweight/obese adults?

Maryam Abolhasani, Nastaran Maghbouli, Shahrokh Karbalai Saleh, Ziba Aghsaeifar, Faeze Sazgara, Maryam Tahmasebi, Haleh Ashraf, Jemal Haidar Ali

Open access · goldAbstract read
In one paragraph

Article in Integrated blood pressure control, 2021. 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
0.8field-weighted citation impact, top 25% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

Maryam Abolhasani *Cardiac Primary Prevention Research Center (CPPRC), Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Nastaran Maghbouli *Physical Medicine and Rehabilitation Department, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-9446-8506
Shahrokh Karbalai SalehDepartment of Cardiology, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-7488-6188
Ziba AghsaeifarDepartment of Internal Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Faeze SazgaraDepartment of Radiology, Guilan University of Medical Sciences, Rasht, Guilan, Iran.
Maryam TahmasebiDepartment of Cardiology, Amir Al Momenin Hospital, Islamic Azad University of Medical Sciences, Tehran, Iran.
Haleh AshrafCardiac Primary Prevention Research Center (CPPRC), Tehran Heart Center and Research Development Center, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Jemal Haidar Ali *Department of Public Health Nutrition, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0002-0357-7812
Sina Hospital · IRTehran University of Medical Sciences · IRAddis Ababa University · ETGuilan University of Medical Sciences · IRIslamic Azad University Medical Branch of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the effectiveness of some combined anthropometric and metabolic scores were evaluated in hypertension prediction, none of them had addressed their accuracy in association with overweight/obese populations. This study examined the accuracy of several anthropometric parameters in this regard and compared the novel indices to the ancient ones.

methodsThrough a cross-sectional study, 5115 patients have been evaluated at the weight loss clinic. Data on demographic information, anthropometric indices, and biochemical measurements were assembled into a checklist. Multivariable regression modeling and the area under the receiver-operating characteristic (ROC) were analyzed using SPSS version 20. To find new combined scores, SEM (structural equation modeling) analysis was also adopted. P-values < 0.05 were considered statistically significant.

resultsConsidering ancient indices, WHtR (waist-to-height ratio) showed a sufficient area under the curve in predicting hypertension among both genders concomitant with WC (waist circumference) in men, and BRI (body roundness index) in women as highest AUC. The highest odds ratio (OR) for the presence of hypertension, based on the age-adjusted model, was BRI in females (OR, 3.335; 95% confidence interval [CI], 1.58-7.28) and WC in males (OR, 13.478; 95% CI: 1.99-45.02). The combined scores were not superior to the single ones.

conclusionThe most powerful association between hypertension and sufficient discrimination ability of normotensives from hypertensive patients was detected for BRI in women and WC among men. However, neither the BSI and BAI nor FMI and FFMI showed superiority to WC or WHtR in predicting the presence of hypertension.

Indexed as

anthropometric indiceshypertensionIrannovel indicesobesityprediction

Identifiers

PMID34795521
PMCPMC8593692
OpenAlexW3214706606

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.