Yannis Manios1, Elpis Vlachopapadopoulou2, George Moschonis3, Feneli Karachaliou2, Theodora Psaltopoulou4, Dimitra Koutsouki5, Gregory Bogdanis5, Vilelmine Carayanni6, Angelos Hatzakis4, Stefanos Michalacos2. 1. Department of Nutrition and Dietetics, Harokopio University of Athens, 70, El.Venizelou Ave, 17671 Kallithea, Athens, Greece. manios@hua.gr. 2. Department of Endocrinology, Children's Hospital P. & A. Kyriakou, Athens, Greece. 3. Department of Nutrition and Dietetics, Harokopio University of Athens, 70, El.Venizelou Ave, 17671 Kallithea, Athens, Greece. 4. Department of Hygiene, Epidemiology and Medical Statistics, University of Athens, Athens, Greece. 5. School of Physical Education and Sports Science, University of Athens, Athens, Greece. 6. Department of Public Health and Community Health, Technological Educational Institute of Athens, Athens, Greece.
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. CONCLUSION: The 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.
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-obesechildren. 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. CONCLUSION: The 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.
Entities:
Keywords:
CORE-index; Children; Early life; Greece; Obesity; Prediction; Risk
Authors: A Cattaneo; L Monasta; E Stamatakis; S Lioret; K Castetbon; F Frenken; Y Manios; G Moschonis; S Savva; A Zaborskis; A I Rito; M Nanu; J Vignerová; M Caroli; J Ludvigsson; F S Koch; L Serra-Majem; L Szponar; F van Lenthe; J Brug Journal: Obes Rev Date: 2009-07-10 Impact factor: 9.213
Authors: Johannes Brug; Maartje M van Stralen; Saskia J Te Velde; Mai J M Chinapaw; Ilse De Bourdeaudhuij; Nanna Lien; Elling Bere; Victoria Maskini; Amika S Singh; Lea Maes; Luis Moreno; Nataša Jan; Eva Kovacs; Tim Lobstein; Yannis Manios Journal: PLoS One Date: 2012-04-25 Impact factor: 3.240
Authors: Christina Mavrogianni; George Moschonis; Eva Karaglani; Greet Cardon; Violeta Iotova; Pilar De Miguel-Etayo; Esther M González-Gil; Κaloyan Tsochev; Tsvetalina Tankova; Imre Rurik; Patrick Timpel; Emese Antal; Stavros Liatis; Konstantinos Makrilakis; George P Chrousos; Yannis Manios Journal: Eur J Pediatr Date: 2021-05-14 Impact factor: 3.183