Evidence map›Paper›PMID 24063585›Full record

ArticlePublic health nutrition2014

Anthropometry and physical activity level in the prediction of metabolic syndrome in children.

Alynne Christian Ribeiro Andaki, Adelson Luiz Araújo Tinôco, Edmar Lacerda Mendes, Roberto Andaki Júnior, Andrew P Hills, Paulo Roberto S Amorim

Open access · bronzeAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Public health nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. ANTHROPOMETRY AND CLUSTERED CARDIOMETABOLIC RISK FACTORS IN YOUNG PEOPLE: A SYSTEMATIC REVIEW.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo
    Pooled it
  2. Article
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  5. Impact of Recreational Sports Activities on Metabolic Syndrome Components in Adolescents.International journal of environmental research and public health · 2019
    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 at 3 institutions in 2 countries.

Alynne Christian Ribeiro Andaki1Nutrition and Health Department,Viçosa Federal University,DNS - Prédio CCBII,Sexto andar,Lab. 47 - Campus UFV,Viçosa,MG, 36570-000Brazil.
Adelson Luiz Araújo Tinôco1Nutrition and Health Department,Viçosa Federal University,DNS - Prédio CCBII,Sexto andar,Lab. 47 - Campus UFV,Viçosa,MG, 36570-000Brazil.
Edmar Lacerda Mendes2Sport Science Department,Triângulo Mineiro Federal University,Uberaba,MG,Brazil.
Roberto Andaki Júnior3Physical Education Department,Viçosa Federal University,Viçosa,MG,Brazil.
Andrew P Hills4Mater Mother's Hospital,Mater Medical Research Institute and Griffith Health Institute,Griffith University,Brisbane,Australia.
Paulo Roberto S Amorim5Physical Education Department,Viçosa Federal University,Viçosa,MG,Brazil.
Universidade Federal de Viçosa · BRMater Mothers' Hospital · AUUniversidade Federal do Triângulo Mineiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the effectiveness of anthropometric measures and physical activity level in the prediction of metabolic syndrome (MetS) in children.

designCross-sectional study with children from public and private schools. Children underwent an anthropometric assessment, blood pressure measurement and biochemical evaluation of serum for determination of TAG, HDL-cholesterol and glucose. Physical activity level was calculated and number of steps per day obtained using a pedometer for seven consecutive days.

settingViçosa, south-eastern Brazil. SUBJECTS: Boys and girls (n 187), mean age 9·90 (SD 0·7) years.

resultsConicity index, sum of four skinfolds, physical activity level and number of steps per day were accurate in predicting MetS in boys. Anthropometric indicators were accurate in predicting MetS for girls, specifically BMI, waist circumference measured at the narrowest point and at the level of the umbilicus, four skinfold thickness measures evaluated separately, the sum of subscapular and triceps skinfold thickness, the sum of four skinfolds and body fat percentage.

conclusionsThe sum of four skinfolds was the most accurate method in predicting MetS in both genders.

Indexed as

AdiposityMotor ActivityActigraphyBody Mass IndexBrazilChildChild Nutritional Physiological PhenomenaCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromeOverweightPediatric ObesityPredictive Value of TestsPrevalence

Identifiers

PMID24063585
PMCPMC10282609
OpenAlexW2153157673

What OpenQuestion holds

Textmetadata
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.