Evidence map›Paper›PMID 27989263›Full record

ArticlePublic health nutrition2017

Comparison of the ability to identify cardiometabolic risk factors between two new body indices and waist-to-height ratio among Chinese adults with normal BMI and waist circumference.

Peng Ju Liu, Fang Ma, Hui Ping Lou, Yan Ning Zhu

Abstract readComparative Study
In one paragraph

Article in Public health nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
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  6. Identification of the Best Anthropometric Index for Predicting the 10-Year Cardiovascular Disease in Southwest China: A Large Single-Center, Cross-Sectional Study.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2022
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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

4 authors.

Peng Ju Liu1Departments of Clinical Nutrition,Peking Union Medical College Hospital,China Academic Medical Science and Peking Union Medical College,Beijing 100730,People's Republic of China.
Fang Ma1Departments of Clinical Nutrition,Peking Union Medical College Hospital,China Academic Medical Science and Peking Union Medical College,Beijing 100730,People's Republic of China.
Hui Ping Lou2Medical Examination Center,Peking Union Medical College Hospital,China Academic Medical Science and Peking Union Medical College,Beijing,People's Republic of China.
Yan Ning Zhu3Obstetrics and Gynecology,Peking Union Medical College Hospital,China Academic Medical Science and Peking Union Medical College,Beijing,People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWaist-to-height ratio (WHtR) has been reported to be more strongly associated with cardiometabolic risk factors among non-obese individuals than BMI and waist circumference (WC). A body shape index (ABSI) and body roundness index (BRI) have been proposed recently to assess obesity-related disorders or mortalities. Our aim was to compare the ability of ABSI and BRI with that of WHtR to identify cardiometabolic risk factors in Chinese adults with normal BMI and WC.

designReceiver-operating characteristic curves and areas under the curve (AUC) were employed to evaluate the ability of the indices (WHtR, BRI, ABSI) to identify metabolic risk factors and to determine the indices' optimal cut-off values. The value of each index that resulted in maximization of the Youden index (sensitivity + specificity - 1) was defined as optimal. Differences in the AUC values between the indices were also evaluated.

settingIndividuals attending a voluntary health check-up in Beijing, China, July-December 2015, were recruited to the study. SUBJECTS: Non-obese adults (n 1596).

resultsAmong both genders, ABSI exhibited the lowest AUC value for identifying each risk factor among the three indices; the AUC value of BRI for identifying each risk factor was very close to that of WHtR, and no significant differences were observed between the AUC values of the two new indices.

conclusionsWhen evaluating cardiometabolic risk factors among non-obese adults, WHtR was a simple and effective index in the assessment of cardiometabolic risk factors, BRI could be used as an alternative body index to WHtR, while ABSI could not.

Indexed as

Asian PeopleWaist CircumferenceWaist-Height RatioAdultArea Under CurveBody ImageBody Mass IndexCardiovascular DiseasesChinaFemaleHumansMaleMetabolic SyndromeMiddle AgedObesityRisk FactorsA body shape indexBody roundness indexCardiometabolic risk factorNon-obeseWaist-to-height ratio

Identifiers

PMID27989263
PMCPMC10261557

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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.