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Comparison between type A and type B early adiposity rebound in predicting overweight and obesity in children: a longitudinal study. Br J Nutr 2020; 124:501-512. [PMID: 32174289 DOI: 10.1017/s0007114520000987] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Early adiposity rebound (EAR) predicts paediatric overweight/obesity, but current approaches do not consider both the starting point of EAR and the BMI trajectory. We compared the clinical characteristics at birth, age 3-5 and 6-8 years of children, according to the EAR and to its type (type A/type B-EAR). We assessed the children's odds of being classified as overweight/obese at age 6-8 years, according to the type of EAR as defined at age 3-5 years. As part of this two-wave observational study, 1055 children were recruited and examined at age 3-5 years. Antenatal and postnatal information was collected through interviews with parents, and weight and height from the health records. Type A and type B-EAR were defined in wave 1 according to the BMI nadir and the variation of BMI z-score between the starting point of the adiposity rebound and the last point on the curve. At 6-8 years (wave 2), 867 children were followed up; 426 (40·4 %) children demonstrated EAR. Among them, 172 had type A-EAR, higher rates of parental obesity (P < 0·05) and greater birth weight compared with other children (P < 0·001). Odds for overweight/obesity at 6-8 years, when adjusting for antenatal and postnatal factors, was 21·35 (95 % CI 10·94, 41·66) in type A-EAR children and not significant in type B-EAR children (OR 1·76; 95 % CI 0·84, 3·68) compared with children without EAR. Classification of EAR into two subtypes provides physicians with a reliable approach to identify children at risk for overweight/obesity before the age of 5 years.
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Scherdel P, Botton J, Rolland-Cachera MF, Léger J, Pelé F, Ancel PY, Simon C, Castetbon K, Salanave B, Thibault H, Lioret S, Péneau S, Gusto G, Charles MA, Heude B. Should the WHO growth charts be used in France? PLoS One 2015; 10:e0120806. [PMID: 25761138 PMCID: PMC4356547 DOI: 10.1371/journal.pone.0120806] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2014] [Accepted: 02/06/2015] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Growth charts are an essential clinical tool for evaluating a child's health and development. The current French reference curves, published in 1979, have recently been challenged by the 2006 World Health Organization (WHO) growth charts. OBJECTIVE To evaluate and compare the growth of French children who were born between 1981 and 2007, with the WHO growth charts and the French reference curves currently used. DESIGN Anthropometric measurements from French children, who participated in 12 studies, were analyzed: 82,151 measurements were available for 27,257 children in different age groups, from birth to 18 years. We calculated and graphically compared mean z-scores based on the WHO and French curves, for height, weight and Body Mass Index (BMI) according to age and sex. The prevalence of overweight using the WHO, the French and International Obesity Task Force definitions were compared. RESULTS Our population of children was on average 0.5 standard deviations taller than the French reference population, from the first month of life until puberty age. Mean z-scores for height, weight and BMI were closer to zero based on the WHO growth charts than on the French references from infancy until late adolescence, except during the first six months. These differences not related to breastfeeding rates. As expected, the prevalence of overweight depended on the reference used, and differences varied according to age. CONCLUSION The WHO growth charts may be appropriate for monitoring growth of French children, as the growth patterns in our large population of French children were closer to the WHO growth charts than to the French reference curves, from 6 months onwards. However, there were some limitations in the use of these WHO growth charts, and further investigation is needed.
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Affiliation(s)
- Pauline Scherdel
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Early determinants of the child’s health and development Team (ORCHAD), Paris, France, Paris Descartes University, France
- * E-mail:
| | - Jérémie Botton
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Early determinants of the child’s health and development Team (ORCHAD), Paris, France, Paris Descartes University, France
- Univ. Paris-Sud, Laboratoire de biomathématique, Faculté de Pharmacie, Châtenay-Malabry, France
| | - Marie-Françoise Rolland-Cachera
- Université Paris 13, INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Nutritional Epidemiology Research Team (EREN), Paris, France, Paris Descartes University, France, Inra, Cnam, Université Paris 5, Université Paris 7, Bobigny, France
| | - Juliane Léger
- Univ. Paris Diderot, Sorbonne Paris Cité, Paris, AP-HP, Hôpital Robert Debré, Service d’Endocrinologie Diabétologie Pédiatrique et Centre de Référence des Maladies Endocriniennes Rares de la Croissance, Paris, Institut National de la Santé et de la Recherche Médicale, UMR 676, Paris, France
| | - Fabienne Pelé
- Inserm UMR 1085 IRSET, Rennes, France; Université de Rennes 1, Faculté de Médecine, Rennes, France, Centre Hospitalier Universitaire de Rennes (CHU), Service d’Epidémiologie et de Santé Publique, Rennes, France
| | - Pierre Yves Ancel
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Obstetrical, Perinatal and Pediatric Epidemiology Research Team (EPOPé), Paris, France, Paris Descartes University, France
| | - Chantal Simon
- Carmen, Inserm U1060, University of Lyon 1, INRA U1235, CRNH Rhône-Alpes, CENS, Lyon, France
| | - Katia Castetbon
- Institut de veille sanitaire (InVS), Département maladies chroniques et traumatismes, Unité de surveillance et d’épidémiologie nutritionnelle (USEN), F-94415 Saint-Maurice, France, Université Paris 13, Sorbonne Paris Cité, Centre de Recherche en Epidémiologies et Biostatistiques, Bobigny, France
| | - Benoit Salanave
- Institut de veille sanitaire (InVS), Département maladies chroniques et traumatismes, Unité de surveillance et d’épidémiologie nutritionnelle (USEN), F-94415 Saint-Maurice, France, Université Paris 13, Sorbonne Paris Cité, Centre de Recherche en Epidémiologies et Biostatistiques, Bobigny, France
| | - Hélène Thibault
- Univ. Bordeaux, ISPED, Centre Inserm U897-Epidemiologie-Biostatistique, Bordeaux, France, Inserm, ISPED, Centre Inserm U897-Epidemiologie-Biostatistique, Bordeaux, France
| | - Sandrine Lioret
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Early determinants of the child’s health and development Team (ORCHAD), Paris, France, Paris Descartes University, France
- French Agency for Food, Environmental and Occupational Health Safety (ANSES, ex-AFSSA, Dietary Survey Unit, Maisons-Alfort, France
| | - Sandrine Péneau
- Université Paris 13, INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Nutritional Epidemiology Research Team (EREN), Paris, France, Paris Descartes University, France, Inra, Cnam, Université Paris 5, Université Paris 7, Bobigny, France
| | - Gaelle Gusto
- IRSA, département Synergies, 37521 La Riche cedex, France
| | - Marie-Aline Charles
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Early determinants of the child’s health and development Team (ORCHAD), Paris, France, Paris Descartes University, France
| | - Barbara Heude
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Early determinants of the child’s health and development Team (ORCHAD), Paris, France, Paris Descartes University, France
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François P, Guyomard A, Baudet D, Dubois-Fabing D, Boussuges S, Perrin F, Seigneurin A. [Evaluation of an obesity prevention program for school-aged children in deprived urban areas]. Arch Pediatr 2014; 21:727-35. [PMID: 24947111 DOI: 10.1016/j.arcped.2014.04.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2013] [Revised: 03/24/2014] [Accepted: 04/23/2014] [Indexed: 10/25/2022]
Abstract
OBJECTIVE Increasing prevalence of obesity particularly affects underprivileged families and children. This study aimed to estimate the efficiency of an obesity prevention program for school-aged children in deprived urban areas. METHODS This was an intervention trial with a before-and-after comparison of a cohort of school-aged children in preschool and primary school in three deprived urban areas in Grenoble, France. All school-aged children in the first and third year of preschool and the third year of primary school during the 2008-2009 and 2009-2010 school years, whose parents agreed to participate in the study, were included. Children were seen again 2 years later. The staff of the school health service measured and weighed the children during a medical check-up, thus determining their body mass index (BMI) and Z score. A school doctor suggested specific care to the parents of overweight children. A lifestyle questionnaire was completed. The primary outcome was changes in BMI and the Z score over 2 years. The secondary outcome was changes in lifestyle and eating habits. RESULTS A total of 2434 children were included in the screening campaign. Of the 2434 children included in screening, 1824 children were reviewed and evaluated at 2 years. At inclusion, overweight prevalence increased with age, from 6.4% in the first year of preschool to 21.9% in the third year of primary school. More than 60% of overweight children had a high social vulnerability score. Prevalence of overweight increased from 13.8% to 21.5% in 2 years in the entire cohort (P<0.001). In the 252 overweight children, the mean BMI increased from 20 kg/m(2) to 21.8 kg/m(2) (P<0.001), as did the mean Z score, which increased from 2.72 to 2.9 (P<0.001). There was no significant interaction depending on whether the family physician was in private practice or employed by a health center. According to their eating habits, fewer of the overweight children had a snack in the morning and more had a school lunch. More than half of the children thought they had improved their eating habits. They played more sports (30% versus 49.5%). CONCLUSION This study failed to demonstrate that incentive for medical management of excess weight had an effect on the short-term (2 years) evolution of the children's corpulence.
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Affiliation(s)
- P François
- Unité d'évaluation médicale, pôle santé publique, pavillon Taillefer, CHU de Grenoble, BP 217, 38043 Grenoble, France; Laboratoire TIMC-IMAG CNRS, université Grenoble 1, pavillon Taillefer, CHU de Grenoble, BP 217, 38043 Grenoble, France.
| | - A Guyomard
- Unité d'évaluation médicale, pôle santé publique, pavillon Taillefer, CHU de Grenoble, BP 217, 38043 Grenoble, France
| | - D Baudet
- Association de gestion des centres de santé AGECSA, 162, Galerie-de-l'Arlequin, 38100 Grenoble, France
| | - D Dubois-Fabing
- Association de gestion des centres de santé AGECSA, 162, Galerie-de-l'Arlequin, 38100 Grenoble, France
| | - S Boussuges
- Service municipal de santé scolaire, 33, rue Joseph-Chanrion, 38000, Grenoble, France
| | - F Perrin
- Direction santé publique environnementale de la ville de Grenoble, 33, rue Joseph-Chanrion, 38000 Grenoble, France
| | - A Seigneurin
- Unité d'évaluation médicale, pôle santé publique, pavillon Taillefer, CHU de Grenoble, BP 217, 38043 Grenoble, France; Laboratoire TIMC-IMAG CNRS, université Grenoble 1, pavillon Taillefer, CHU de Grenoble, BP 217, 38043 Grenoble, France
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