Evidence map›Paper›PMID 32785000›Full record

ArticleInternational journal of environmental research and public health2020

Are Body Composition Parameters Better than Conventional Anthropometric Measures in Predicting Pediatric Hypertension?

Chih-Yu Hsu, Rong-Ho Lin, Yu-Ching Lin, Jau-Yuan Chen, Wen-Cheng Li, Li-Ang Lee, Keng-Hao Liu, Hai-Hua Chuang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. 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
2.2field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  10. Article
  11. Hypertension in Children with Obstructive Sleep Apnea Syndrome-Age, Weight Status, and Disease Severity.International journal of environmental research and public health · 2021
    Article
  12. Review
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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 3 institutions in 1 country.

Chih-Yu HsuDepartment of Family Medicine, Chang Gung Memorial Hospital, Linkou and Taipei Branches, Taoyuan 33305, Taiwan.ORCID 0000-0003-2223-2817
Rong-Ho LinDepartment of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan.
Yu-Ching LinCollege of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.ORCID 0000-0002-2318-8507
Jau-Yuan ChenDepartment of Family Medicine, Chang Gung Memorial Hospital, Linkou and Taipei Branches, Taoyuan 33305, Taiwan.ORCID 0000-0001-9195-7833
Wen-Cheng LiDepartment of Family Medicine, Chang Gung Memorial Hospital, Linkou and Taipei Branches, Taoyuan 33305, Taiwan.
Li-Ang LeeCollege of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.ORCID 0000-0001-8414-595X
Keng-Hao LiuDepartment of General Surgery, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan 33305, Taiwan.
Hai-Hua ChuangDepartment of Family Medicine, Chang Gung Memorial Hospital, Linkou and Taipei Branches, Taoyuan 33305, Taiwan.ORCID 0000-0002-7394-4016
Chang Gung Memorial Hospital · TWChang Gung University · TWNational Taipei University of Technology · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body composition (BC) parameters are associated with cardiometabolic diseases in children; however, the importance of BC parameters for predicting pediatric hypertension is inconclusive. This cross-sectional study aimed to compare the difference in predictive values of BC parameters and conventional anthropometric measures for pediatric hypertension in school-aged children. A total of 340 children (177 girls and 163 boys) with a mean age of 8.8 ± 1.7 years and mean body mass index (BMI) z-score of 0.50 ± 1.24 were enrolled (102 hypertensive children and 238 normotensive children). Significantly higher values of anthropometric measures (BMI, BMI z-score, BMI percentile, waist-to-height ratio) and BC parameters (body-fat percentage, muscle weight, fat mass, fat-free mass) were observed among the hypertensive subgroup compared to their normotensive counterparts. A prediction model combining fat mass ≥ 3.65 kg and fat-free mass ≥ 34.65 kg (area under the receiver operating characteristic curve = 0.688; sensitivity = 66.7%; specificity = 89.9%) performed better than BMI alone (area under the receiver operating characteristic curve = 0.649; sensitivity = 55.9%; specificity = 73.9%) in predicting hypertension. In conclusion, BC parameters are better than anthropometric measures in predicting pediatric hypertension. BC measuring is a reasonable approach for risk stratification in pediatric hypertension.

Indexed as

Body CompositionHypertensionWaist-Height RatioBody Mass IndexChildCross-Sectional StudiesFemaleForecastingHumansMalePrognosisRisk FactorsROC CurveWaist Circumferencebody-fat percentagebody mass indexchildrenfat-free massfat masshypertensionmuscle weightwaist-to-height ratio

Identifiers

PMID32785000
PMCPMC7460262
OpenAlexW3047643546

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.