Evidence map›Paper›PMID 23775682›Full record

ArticleWorld journal of pediatrics : WJP2013

Central adiposity and the risk of hypertension in Asian Indian girls.

Jyoti Ratan Ghosh, Arup Ratan Bandyopadhyay

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Article in World journal of pediatrics : WJP, 2013. 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 24% 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, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Systematic review on the association of abdominal obesity in children and adolescents with cardio-metabolic risk factors.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2015
    Review
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

2 authors at 2 institutions in 1 country.

Jyoti Ratan GhoshDepartment of Anthropology, Visva-Bharati University, Santiniketan 731235, West Bengal, India. jrghosh@rediffmail.com
Arup Ratan Bandyopadhyay
University of Calcutta · INVisva-Bharati University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElevated blood pressure during childhood is an established predictor of elevated blood pressure in adulthood. This study was undertaken to evaluate the relationship of general and central adiposity measures with hypertension and to find out the best adiposity measure in predicting hypertension.

methodsA cross-sectional study was carried out in 197 girls aged 5 to 16 years. Anthropometric measurements included stature, weight, waist circumference (WC) and hip circumference. Body mass index (BMI, kg/m(2)), waist hip ratio (WHR) and conicity index (CI) were calculated subsequently. Systolic blood pressure (SBP) and diastolic bold pressure (DBP) were taken and hypertension was defined as age and stature adjusted SBP and/or DBP ≥95(th) percentile. Linear and logistic regression analysis was made to determine the relationship of adiposity measure with blood pressure and hypertension and to find out the best adiposity measure in predicting hypertension.

resultsBoth WC [odds ratio (OR)=2.20, 95% confidence interval, 1.32-3.69] and CI (OR=1.85, 95% confidence interval, 1.14-3.0) were significantly associated with hypertension. However, there was no significant association in BMI and WHR with hypertension.

conclusionWC is the best adiposity measure in predicting hypertension in girls.

Indexed as

Body Fat DistributionAdolescentChildChild, PreschoolCross-Sectional StudiesFemaleHumansHypertensionIndiaObesity, AbdominalRisk FactorsWaist CircumferenceWaist-Hip Ratio

Identifiers

PMID23775682
OpenAlexW2034768938

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.