Evidence map›Paper›PMID 27796510›Full record

ArticleEuropean journal of pediatrics2016

Utility and applicability of the "Childhood Obesity Risk Evaluation" (CORE)-index in predicting obesity in childhood and adolescence in Greece from early life: the "National Action Plan for Public Health".

Yannis Manios, Elpis Vlachopapadopoulou, George Moschonis, Feneli Karachaliou, Theodora Psaltopoulou, Dimitra Koutsouki, Gregory Bogdanis, Vilelmine Carayanni, Angelos Hatzakis, Stefanos Michalacos

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In one paragraph

Article in European journal of pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
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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 synthesis or guideline pooled it.

  1. Predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2018
    Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Yannis ManiosDepartment of Nutrition and Dietetics, Harokopio University of Athens, 70, El.Venizelou Ave, 17671 Kallithea, Athens, Greece. manios@hua.gr.ORCID http://orcid.org/0000-0001-6486-114X
Elpis VlachopapadopoulouDepartment of Endocrinology, Children's Hospital P. & A. Kyriakou, Athens, Greece.
George MoschonisDepartment of Nutrition and Dietetics, Harokopio University of Athens, 70, El.Venizelou Ave, 17671 Kallithea, Athens, Greece.
Feneli KarachaliouDepartment of Endocrinology, Children's Hospital P. & A. Kyriakou, Athens, Greece.
Theodora PsaltopoulouDepartment of Hygiene, Epidemiology and Medical Statistics, University of Athens, Athens, Greece.
Dimitra KoutsoukiSchool of Physical Education and Sports Science, University of Athens, Athens, Greece.
Gregory BogdanisSchool of Physical Education and Sports Science, University of Athens, Athens, Greece.
Vilelmine CarayanniDepartment of Public Health and Community Health, Technological Educational Institute of Athens, Athens, Greece.
Angelos HatzakisDepartment of Hygiene, Epidemiology and Medical Statistics, University of Athens, Athens, Greece.
Stefanos MichalacosDepartment of Endocrinology, Children's Hospital P. & A. Kyriakou, Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early identification of infants being at high risk to become obese at their later childhood or adolescence can be of vital importance in any obesity prevention initiative. The aim of the present study was to examine the utility and applicability of the "Childhood Obesity Risk Evaluation (CORE)" index as a screening tool for the early prediction of obesity in childhood and adolescence. Anthropometric, socio-demographic data were collected cross-sectionally and retrospectively from a representative sample of 5946 children, and adolescents and were combined for calculating the CORE-index score. Logistic regression analyses were performed to examine the associations of the CORE-index score with obesity by gender and age group, and cut-off point analysis was also applied to identify the optimal value of the CORE-index score that differentiates obese from non-obese children. Mean CORE-index score in the total sample was 3.06 (sd 1.92) units (range 0-11 units). Each unit increase in the CORE-index score was found to be associated with a 30 % (95 % C.I. 1.24-1.36) increased likelihood for obesity in childhood or adolescence, while the optimal cut-off value of the CORE-index score that predicted obesity with the highest possible sensitivity and specificity was found to be 3.5.

conclusionThe present study supports the utility and applicability of the CORE-index as a screening tool for the early identification of infants that are potentially at a higher risk for becoming obese at their childhood and adolescence. This tool could be routinely used by health professionals to identify infants at high risk and provide appropriate counselling to their parents and caregivers so as to maximize the effectiveness of early obesity prevention initiatives. What is known? • Childhood obesity has reached epidemic proportions worldwide. • Certain perinatal and socio-demographic indices that were previously identified as correlates of childhood obesity in children were combined to develop the CORE-index, a screening tool that estimates obesity risk in 9-13 year-old children. What is new? • The utility and applicability of the CORE-index as screening tool can be extended to the age range of 6-15 years. • The CORE-index is a cost-effective screening tool that can assist health professionals in initiating obesity preventive measures from early life.

Indexed as

AdolescentBody Mass IndexChildCross-Sectional StudiesFemaleGreeceHumansInfantLogistic ModelsMaleMass ScreeningMothersPediatric ObesityPredictive Value of TestsPublic HealthRetrospective StudiesChildrenCORE-indexEarly lifeGreeceObesityPredictionRisk

Identifiers

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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 Socratic graph.