Evidence map›Paper›PMID 26546280›Full record

ArticleBMC pediatrics2015

Association between anthropometric indices and cardiometabolic risk factors in pre-school children.

Juan C Aristizabal, Jacqueline Barona, Marcela Hoyos, Marcela Ruiz, Catalina Marín

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.3field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Body composition and insulin resistance in children.European journal of clinical nutrition · 2018
    Review
  6. Relationship between fat distribution and cardiometabolic risk in Hispanic girls.American journal of human biology : the official journal of the Human Biology Council · 2018
    Article
  7. 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

5 authors at 2 institutions in 1 country.

Juan C AristizabalSchool of Nutrition and Dietetics, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín, Colombia. juan.aristizabal@udea.edu.co.
Jacqueline BaronaBasic and Applied Microbiology Research Group (MICROBA), School of Microbiology, Program of Ophidism, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín, Colombia. maria.barona@udea.edu.co.
Marcela HoyosUnit of Food Security, Secretary of Social Inclusion and Family, Alcaldía de Medellín, Colombia. marceho2@gmail.com.
Marcela RuizUnit of Food Security, Secretary of Social Inclusion and Family, Alcaldía de Medellín, Colombia. marceruizpi@gmail.com.
Catalina MarínBasic and Applied Microbiology Research Group (MICROBA), School of Microbiology, Program of Ophidism, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín, Colombia. catam2224@hotmail.com.
Universidad de Antioquia · COSecretaría de Salud de Bogotá · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe world health organization (WHO) and the Identification and prevention of dietary- and lifestyle-induced health effects in children and infants- study (IDEFICS), released anthropometric reference values obtained from normal body weight children. This study examined the relationship between WHO [body mass index (BMI) and triceps- and subscapular-skinfolds], and IDEFICS (waist circumference, waist to height ratio and fat mass index) anthropometric indices with cardiometabolic risk factors in pre-school children ranging from normal body weight to obesity.

methodsA cross-sectional study with 232 children (aged 4.1 ± 0.05 years) was performed. Anthropometric measurements were collected and BMI, waist circumference, waist to height ratio, triceps- and subscapular-skinfolds sum and fat mass index were calculated. Fasting glucose, fasting insulin, homeostasis model analysis insulin resistance (HOMA-IR), blood lipids and apolipoprotein (Apo) B-100 (Apo B) and Apo A-I were determined. Pearson's correlation coefficient, multiple regression analysis and the receiver-operating characteristic (ROC) curve analysis were run.

results51% (n = 73) of the boys and 52% (n = 47) of the girls were of normal body weight, 49% (n = 69) of the boys and 48% (n = 43) of the girls were overweight or obese. Anthropometric indices correlated (p < 0.001) with insulin: [BMI (r = 0.514), waist circumference (r = 0.524), waist to height ratio (r = 0.304), triceps- and subscapular-skinfolds sum (r = 0.514) and fat mass index (r = 0.500)], and HOMA-IR: [BMI (r = 0.509), waist circumference (r = 0.521), waist to height ratio (r = 0.296), triceps- and subscapular-skinfolds sum (r = 0.483) and fat mass index (r = 0.492)]. Similar results were obtained after adjusting by age and sex. The areas under the curve (AUC) to identify children with insulin resistance were significant (p < 0.001) and similar among anthropometric indices (AUC > 0.68 to AUC < 0.76).

conclusionsWHO and IDEFICS anthropometric indices correlated similarly with fasting insulin and HOMA-IR. The diagnostic accuracy of the anthropometric indices as a proxy to identify children with insulin resistance was similar. These data do not support the use of waist circumference, waist to height ratio, triceps- and subscapular- skinfolds sum or fat mass index, instead of the BMI as a proxy to identify pre-school children with insulin resistance, the most frequent alteration found in children ranging from normal body weight to obesity.

Indexed as

AnthropometryCardiovascular DiseasesChild, PreschoolColombiaCross-Sectional StudiesFemaleHumansIncidenceMaleMetabolic DiseasesObesityRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID26546280
PMCPMC4636828
OpenAlexW2162113080

What OpenQuestion holds

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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.