Evidence map›Paper›PMID 33004896›Full record

ArticleScientific reports2020

Waist-to-height ratio is a better discriminator of cardiovascular disease than other anthropometric indicators in Kurdish adults.

Yahya Pasdar, Shima Moradi, Jalal Moludi, Somaiyeh Saiedi, Mehdi Moradinazar, Behrooz Hamzeh, Mohammad Asghari Jafarabadi, Farid Najafi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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  10. Waist-height index curves of Colombian adultsBiomedica : revista del Instituto Nacional de Salud · 2025
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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 2 institutions in 1 country.

Yahya PasdarResearch Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran.
Shima MoradiResearch Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran.
Jalal MoludiResearch Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran. jmoludi@yahoo.com.ORCID http://orcid.org/0000-0002-8333-414X
Somaiyeh SaiediNutrition Research Center, Faculty of Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran.
Mehdi MoradinazarEpidemiology, Behavioral Disease Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Behrooz HamzehResearch Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran.
Mohammad Asghari JafarabadiDepartment of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran.
Farid NajafiSocial Development and Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Kermanshah University of Medical Sciences · IRTabriz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been suggested that abdominal obesity might be a better cardiovascular diseases (CVDs) discriminator than overall obesity. The most appropriate obesity measures for estimating CVD events in Kurdish populations have not been well-recognized. The objective of the present study was, therefore, to determine the cutoff points of BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist to height ratio (WHtR) as the diagnostic cut-offs to discriminate the prevalent cardiovascular diseases. The data collected from Ravansar Non-Communicable Disease (RaNCD) cohort, the first Kurdish population-based study, was analyzed. The information related to BMI, WC, WHR and WHtR of 10,065 adult participants in the age range of 35-65 was analyzed in this study. Receiver operating characteristic (ROC) analyses were conducted to evaluate the optimum cut-off values and to predict the incidence of cardiac events. The results showed that WHtR had the largest areas under the ROC curve for cardiac events in both male and female participants, and this was followed by WHR, WC, and BMI. The optimal cut-off values for determining the cardiac events in the Kurdish population were BMI = 27.02 kg/m

Indexed as

Waist-Height RatioAdultAgedAnthropometryBody Mass IndexCardiovascular DiseasesCross-Sectional StudiesEthnicityFemaleHumansIranMaleMetabolic SyndromeMiddle AgedReference ValuesROC Curve

Identifiers

PMID33004896
PMCPMC7530727
OpenAlexW3091175884

What OpenQuestion holds

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LicenceCC BY
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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.