Evidence map›Paper›PMID 20414190›Full record

ArticleAmerican journal of hypertension2010

Adjusting adiposity and body weight measurements for height alters the relationship with blood pressure in children.

Amanda L Willig, Krista Casazza, Akilah Dulin-Keita, Frank A Franklin, Michelle Amaya, Jose R Fernandez

Abstract read
In one paragraph

Article in American journal of hypertension, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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. Article
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  7. Article
  8. Risk Factors in Adolescent Hypertension.Global pediatric health · 2016
    Article
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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

6 authors.

Amanda L WilligDepartment of Nutrition Sciences and the Clinical Nutrition Research Center, University of Alabama at Birmingham, USA. mandyrd@uab.edu
Krista Casazza
Akilah Dulin-Keita
Frank A Franklin
Michelle Amaya
Jose R Fernandez

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
Zevalin Radioimmunotherapy Using a Modified TreatmentM01RR000032 · NCRR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RICH, ROBERT R. · 1985 to 2008
$23.6M
Cancer Prevention & Control Training ProgramR25CA047888 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DEMARK-WAHNEFRIED, WENDY, MENESES, KAREN M · 1988 to 2016
$11.2M
UAB Diabetes Research and Training CenterP60DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GARVEY, W TIMOTHY · 2008 to 2012
$8.4M
UAB Obesity Training ProgramT32DK062710 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill, Brooks C Wingo · 2004 to 2026
$5.5M
UAB Cancer Prevention and Control Training Program (T32)T32CA047888 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Ritu Aneja, Ellen Mary Lavoie Smith · 2018 to 2026
$3.2M
Admixture Mapping for Insulin Complex OutcomesR01DK067426 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FERNANDEZ, JOSE R · 2004 to 2009
$1.6M
NCI NIH HHS CA47888NCI NIH HHS R25 CA047888NCI NIH HHS T32 CA047888NCRR NIH HHS M01 RR000032NCRR NIH HHS M01-RR-00032NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30‑DK56336NIDDK NIH HHS P60 DK079626NIDDK NIH HHS P60-DK079626NIDDK NIH HHS R01 DK067426NIDDK NIH HHS R01-DK067426NIDDK NIH HHS T32 DK062710NIMHD NIH HHS L32 MD000669
6 · The paper itself

Abstract

backgroundAdiposity measures are associated with increased pediatric blood pressure (BP). However, this correlation can be confounded by the relationship of both variables to height. We evaluated whether adiposity and anthropometric measures were associated with pediatric BP before and after adjusting each value for height.

methodsParticipants included 281 African-American (AA), European-American (EA), and Hispanic-American (HA) children aged 7-12 years. BP percentiles were calculated according to pediatric guidelines using the average of four measurements. Total fat mass was determined using dual-energy X-ray absorptiometry. Socioeconomic status (SES) was calculated with the Hollingshead index. Adiposity measures were indexed for height using log-log regression analysis. Partial correlations identified measures associated with BP. Linear regression was used to test the association of those measures with absolute BP, whereas logistic regression was used to evaluate the odds for hypertension.

resultsMore AAs (16.3%) presented with potential hypertension than EA (5.1%) or HA (2.7%) children. After adjusting for covariates, fat mass, body mass index, and waist circumference were positively significantly associated with absolute BP and hypertension in AA and EA children (P < 0.05). When these measures were height-indexed, only waist remained significantly positively associated with hypertension risk in these two groups. No measures were significantly associated with BP among HA children.

conclusionsIn this multiethnic pediatric population, waist circumference was the strongest significant adiposity predictor of hypertension risk among AA and EA children. Additional research is needed to determine which environmental and genetic factors contribute to pediatric hypertension, particularly among HA groups.

Indexed as

AdiposityBody WeightBlack or African AmericanBlood PressureBody HeightBody Mass IndexChildCross-Sectional StudiesFemaleHispanic or LatinoHumansHypertensionMaleRiskWaist CircumferenceWhite People

Identifiers

PMID20414190
PMCPMC2998040

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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.