UNLABELLED: The aim of this study was to develop an index that estimates late childhood obesity risk based on certain perinatal and family sociodemographic characteristics. The study was cross-sectional with retrospectively collected data from a representative sample of 2,294 primary schoolchildren, aged 9-13 years, in four counties from north, west, central, and south Greece. Mother's prepregnancy weight status, maternal smoking during pregnancy, maternal educational level, and infant weight gain in the first 6 months of life were combined with children's gender for the development of the Childhood Obesity Risk Evaluation (CORE) index. The score of the CORE index ranged from 0 to 11 units and each unit was associated with an obesity risk probability (range, 4-40 %). Cutoff point analysis revealed that a score ≤ 5 units best discriminated obese from non-obese children. On the basis of this cutoff point, the sensitivity of the CORE index was 54 % and the corresponding specificity 65 %. CONCLUSIONS: The proposed CORE index and the relevant percent risk probability chart could be used by pediatricians and other health professionals to identify children at high risk for obesity from early life. This simple and inexpensive tool could be useful in assisting early childhood obesity preventing initiatives.
UNLABELLED: The aim of this study was to develop an index that estimates late childhood obesity risk based on certain perinatal and family sociodemographic characteristics. The study was cross-sectional with retrospectively collected data from a representative sample of 2,294 primary schoolchildren, aged 9-13 years, in four counties from north, west, central, and south Greece. Mother's prepregnancy weight status, maternal smoking during pregnancy, maternal educational level, and infantweight gain in the first 6 months of life were combined with children's gender for the development of the Childhood Obesity Risk Evaluation (CORE) index. The score of the CORE index ranged from 0 to 11 units and each unit was associated with an obesity risk probability (range, 4-40 %). Cutoff point analysis revealed that a score ≤ 5 units best discriminated obese from non-obesechildren. On the basis of this cutoff point, the sensitivity of the CORE index was 54 % and the corresponding specificity 65 %. CONCLUSIONS: The proposed CORE index and the relevant percent risk probability chart could be used by pediatricians and other health professionals to identify children at high risk for obesity from early life. This simple and inexpensive tool could be useful in assisting early childhood obesity preventing initiatives.
Authors: Bryan Hanley; Jean Dijane; Mary Fewtrell; Alain Grynberg; Sandra Hummel; Claudine Junien; Berthold Koletzko; Sarah Lewis; Harald Renz; Michael Symonds; Marjan Gros; Lucien Harthoorn; Katherine Mace; Fiona Samuels; Eline M van Der Beek Journal: Br J Nutr Date: 2010-07 Impact factor: 3.718
Authors: Zeljko Reiner; Alberico L Catapano; Guy De Backer; Ian Graham; Marja-Riitta Taskinen; Olov Wiklund; Stefan Agewall; Eduardo Alegria; M John Chapman; Paul Durrington; Serap Erdine; Julian Halcox; Richard Hobbs; John Kjekshus; Pasquale Perrone Filardi; Gabriele Riccardi; Robert F Storey; David Wood Journal: Eur Heart J Date: 2011-06-28 Impact factor: 29.983
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: 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
Authors: Anna Patsopoulou; Zoi Tsimtsiou; Antonios Katsioulis; George Rachiotis; Eleni Malissiova; Christos Hadjichristodoulou Journal: Int J Environ Res Public Health Date: 2015-12-26 Impact factor: 3.390