Evidence map›Paper›PMID 26929822›Full record

ArticleBMC obesity2016

Risk profiles of lipids, blood pressure, and anthropometric measures in childhood and adolescence: project heartBeat!

Edward Haksing Ip, Xiaoyan Leng, Qiang Zhang, Robert Schwartz, Shyh-Huei Chen, Shifan Dai, Darwin Labarthe

Open access · hybridAbstract read
In one paragraph

Article in BMC obesity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Immunohistochemical Staining for Uroguanylin, a Satiety Hormone, is Decreased in Intestinal Tissue Specimens From Female Adolescents With Obesity.Pediatric and developmental pathology : the official journal of the Society for Pediatric Pathology and the Paediatric Pathology Society
    Article
  4. Article
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

7 authors at 3 institutions in 1 country.

Edward Haksing IpDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC USA.
Xiaoyan LengDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC USA.
Qiang ZhangDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC USA.
Robert SchwartzDepartment of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC USA.
Shyh-Huei ChenDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC USA.
Shifan DaiDivision of Nutrition, Physical Activity and Obesity, Center for Disease Control and Prevention, Atlanta, GA USA.
Darwin LabartheDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, IL 60208 USA.
Wake Forest University · USCenters for Disease Control and Prevention · USNorthwestern University · US

Funding

Dynamic Multichain Graphical Models for the Analysis of Childhood Obesity DataU01HL101066 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI IP, EDWARD HAKSING · 2009 to 2013
$1.7M
NHLBI NIH HHS U01 HL101066
6 · The paper itself

Abstract

backgroundMany common risk factors for cardiovascular disease (CVD) originate in childhood and adolescence. There is a lack of literature examining variability within study populations, as well as a shortage of simultaneous analyses of CVD risk factors operating in tandem.

methodsWe used data from Project HeartBeat!-a multi-cohort longitudinal growth study of children and adolescents in the US - for assessing multiple profiles for lipids, blood pressure, and anthropometric measures. Principal component functional curve analysis methods were used to summarize trajectories of multiple measurements. Subsequently less favorable health (high risk) and more favorable (low risk) groups from both female and male cohorts were identified and compared to US national norms.

resultsCompared to national norms, the high risk groups have increased waist circumference, body mass index, and percent body fat as well as higher low-density lipoprotein cholesterol and triglyceride levels, and lower high-density lipoprotein cholesterol. The risk profiles also exhibit patterns of convergence and divergence across the high and low risk groups as a function of age.

conclusionsThese observations may have clinical and public health implications in identifying groups of children at high risk of CVD for earlier interventions.

Indexed as

Abdominal obesityCardiovascular risk profilesHealth factorsMultivariable health factor profilesNHANES IIIPrincipal component functional curve

Identifiers

PMID26929822
PMCPMC4758172
OpenAlexW2283181471

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.