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"
- PMID: 27796510
- DOI: 10.1007/s00431-016-2799-2
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"
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.
Keywords: CORE-index; Children; Early life; Greece; Obesity; Prediction; Risk.
Comment in
-
Prediction of childhood obesity with or without vitamin D deficiency.Eur J Pediatr. 2017 Apr;176(4):557. doi: 10.1007/s00431-017-2860-9. Epub 2017 Jan 24. Eur J Pediatr. 2017. PMID: 28116504 No abstract available.
Similar articles
-
European Childhood Obesity Risk Evaluation (CORE) index based on perinatal factors and maternal sociodemographic characteristics: the Feel4Diabetes-study.Eur J Pediatr. 2021 Aug;180(8):2549-2561. doi: 10.1007/s00431-021-04090-3. Epub 2021 May 14. Eur J Pediatr. 2021. PMID: 33987685
-
Lifestyle, anthropometric, socio-demographic and perinatal correlates of early adolescence hypertension: The Healthy Growth Study.Nutr Metab Cardiovasc Dis. 2019 Feb;29(2):159-169. doi: 10.1016/j.numecd.2018.10.007. Epub 2018 Oct 25. Nutr Metab Cardiovasc Dis. 2019. PMID: 30660688
-
Childhood Obesity Risk Evaluation based on perinatal factors and family sociodemographic characteristics: CORE index.Eur J Pediatr. 2013 Apr;172(4):551-5. doi: 10.1007/s00431-012-1918-y. Epub 2013 Jan 10. Eur J Pediatr. 2013. PMID: 23307280
-
Offspring body size and metabolic profile - effects of lifestyle intervention in obese pregnant women.Dan Med J. 2014 Jul;61(7):B4893. Dan Med J. 2014. PMID: 25123127 Review.
-
[Simple obesity in children. A study on the role of nutritional factors].Med Wieku Rozwoj. 2006 Jan-Mar;10(1):3-191. Med Wieku Rozwoj. 2006. PMID: 16733288 Review. Polish.
Cited by
-
Assessment of the Effectiveness of a Computerised Decision-Support Tool for Health Professionals for the Prevention and Treatment of Childhood Obesity. Results from a Randomised Controlled Trial.Nutrients. 2019 Mar 26;11(3):706. doi: 10.3390/nu11030706. Nutrients. 2019. PMID: 30917561 Free PMC article. Clinical Trial.
-
Childhood overweight and obesity at the start of primary school: External validation of pregnancy and early-life prediction models.PLOS Glob Public Health. 2022 Jun 9;2(6):e0000258. doi: 10.1371/journal.pgph.0000258. eCollection 2022. PLOS Glob Public Health. 2022. PMID: 36962365 Free PMC article.
-
Novel e-Health Applications for the Management of Cardiometabolic Risk Factors in Children and Adolescents in Greece.Nutrients. 2020 May 12;12(5):1380. doi: 10.3390/nu12051380. Nutrients. 2020. PMID: 32408523 Free PMC article. Review.
-
Predicting childhood overweight and obesity using maternal and early life risk factors: a systematic review.Obes Rev. 2018 Mar;19(3):302-312. doi: 10.1111/obr.12640. Epub 2017 Dec 19. Obes Rev. 2018. PMID: 29266702 Free PMC article.
-
Obesity Prediction with EHR Data: A deep learning approach with interpretable elements.ACM Trans Comput Healthc. 2022 Jul;3(3):32. doi: 10.1145/3506719. Epub 2022 Apr 7. ACM Trans Comput Healthc. 2022. PMID: 35756858 Free PMC article.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical