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Enregistrement W1967474540 · doi:10.1097/00005176-200003000-00028

Breast-Feeding and Childhood Obesity

2000· article· en· W1967474540 sur OpenAlexaffabout
Mahesh Yadav, Anthony K Akobeng, Adrian G. Thomas

Notice bibliographique

RevueJournal of Pediatric Gastroenterology and Nutrition · 2000
Typearticle
Langueen
DomaineMedicine
ThématiqueBreastfeeding Practices and Influences
Établissements canadiensBishop's University
Organismes subventionnairesnon disponible
Mots-clésMedicineObesityChildhood obesityBreast feedingPediatricsInternal medicineOverweight

Résumé

récupéré en direct d'OpenAlex

Breast-Feeding and Childhood Obesity. von Kries R, Koletzko B, Sauerwald T, von Mutius E, Barnert D, Grunert V, von Voss H. Breast feeding and obesity: Cross sectional study. BMJ 1999;319:147–50. Summary: Von Kries et al. studied the impact of breast-feeding during infancy on the risk of being overweight or obese in 9357 German children aged 5 to 6 years. They performed a cross-sectional survey using data collected from obligatory health examinations before school entry. Previously determined age-and sex-specific distribution of body mass index (BMI) among German children was taken as reference (overweight, BMI >90th percentile; obese, BMI >97th percentile). Of the 9357 children studied, information on breast-feeding and its duration was available on 9206. Of this number, 4022 children had never been breast-fed, and 5184 had been breast-fed. The prevalence of obesity in those who had never been breast-fed was 4.5%, compared with 2.8% in the breast-fed children. A clear dose–response effect was identified for the duration of breast-feeding on the prevalence of obesity: the prevalence was 3.8% for 2 months, 1.7% for 6 to 12 months, and 0.8% for more than 12 months. After adjusting for confounding variables such as the level of parental education and maternal smoking during pregnancy, breast-feeding remained a significant protective factor against the development of obesity (odds ratio [OR] 0.75; 95% confidence interval [CI] 0.57–0.98) and being overweight (OR 0.79, CI 0.68–0.93). Comments: It is estimated that as many as 250 million people worldwide may be obese, and the prevalence of obesity is increasing in most parts of the world (Acta Paediatr 1999;(Suppl)428:46–50). Recent data suggest that approximately 22% of American children and adolescents may be overweight and that 11% are obese (Pediatrics 1999;103:E85). The cause of obesity is multifactorial, but environmental influences probably play a greater role. Genetic and hormonal factors are rarely the cause of childhood obesity (Am Fam Phys 1999;59:861–8). Although other investigators have examined the subject, von Kries et al. conducted one of the largest epidemiologic studies assessing the impact of breast-feeding on the risk of obesity in childhood. In 1979, a Finnish study of 238 full-term infants showed that breast-feeding for at least 6 months protected them from obesity at 1 year of age (Acta Paediatr Scand 1979;68:245–50). Kramer et al., in a prospective study of 462 term infants, showed that the duration of breast-feeding was a significant determinant of BMI at 12 months of age (J Pediatr 1985;106:10–4). Investigators in a case–control study of 639 cases and 533 controls also concluded that breast-feeding protected against development of obesity at age 12 to 18 years (J Pediatr 1981;98:883–7). None of these earlier studies demonstrated any dose–response effect of the duration of breast-feeding on the prevalence of obesity. Other workers have found no association between breast-feeding and development of obesity (Obes Res 1997;6:538–41), and some have even associated breast-feeding with increased risk of becoming overweight (J Pediatr 1990;116:805–9;Endocr Reg 1991;25:53–7). The results of some of these studies are difficult to interpret in the context of the findings of Von Kries et al., because the different authors used different criteria for defining overweight or obesity. The World Health Organisation has now recommended the use of BMI-for-age percentiles as uniform criteria for the assessment of childhood obesity (Acta Paediatr 1999;(Suppl)428: 46–50). Childhood obesity is on the increase worldwide, and it is considered to be a silent epidemic in America (Curr Opin Pediatr 1998;10:422–7). The cause of this increase is poorly understood and has been postulated to be related to imbalances in energy input and expenditure, sedentary life styles, high-fat foods, and numerous other environmental factors including overfeeding, overprotection by parents, and the number of hours spent in watching television. Childhood obesity is well recognised to be an antecedent to adult obesity (N Engl J Med 1976;295:6–9;BMJ 1981;283:13–17;Int J Obes Relat Metab Disord 1997;21:912–21). Approximately one third of obese preschool children and approximately one half of obese school-aged children may grow up to be obese adults (Prev Med 1993;22:167–77). Obesity-related illnesses such as type 2 diabetes in children has increased 10-fold during the past decade in the United States (Am J Clin Nutr 1998;68:944S–9S). Childhood obesity has been shown to be associated with increased risk of adult cardiovascular disease (Pediatrics 1999;103:1175–82), and a 57-year follow-up of a cohort of 1165 boys and 1234 girls (age range, 2–14 years) also demonstrated a definite association between childhood obesity and death caused by cardiovascular disease in adults (Am J Clin Nutr 1998;67:1111–8). Earlier in 1992, Must et al. (N Engl J Med 1992;327:1350–5) showed that overweight in adolescence is a powerful predictor of mortality, cardiovascular disease, colorectal cancer, gout, and arthritis, irrespective of adult weight, after 55 years of follow-up. Recently, much interest has been shown in the role of early nutrition and the health of the individual in adulthood (Proc Nutr Soc 1999;58:75–8). Evidence for “programming by nutrition” is well established in animals, in whom brief pre-or postnatal nutritional manipulations may program adult size, metabolism, blood lipids, diabetes, blood pressure, obesity, atherosclerosis, learning, behaviour, and life span (J Nutr 1998;128(2 Suppl)401S–6S). Adverse socioeconomic circumstances in childhood have been shown to be associated with increased risk of death from coronary heart disease and respiratory disease in adulthood (BMJ 1998;316:1631–5) and ischaemic heart disease in middle-aged men (BMJ 1990;301:1121–3). Nutritional programming is therefore an attractive hypothesis that could explain the impact of breast-feeding on the prevalence of obesity in children and adults. Obesity can no longer be viewed as merely a cosmetic or social problem but must be acknowledged as a serious condition responsible for premature deaths and significant morbidity in millions worldwide. Management of obesity and related illnesses may consume a significant proportion of limited healthcare resources. In 1997, the direct cost of obesity in Canada was estimated to be over $1.8 billion corresponding to 2.4% of the total health expenditure for all diseases in Canada in 1997 (Can Med Assoc J 1999;160:483–8). The treatment of obesity, which includes dietary and physical activity management, behaviour modification, and family involvement (Am Fam Phys 1999;59:861–8), is costly and usually difficult to institute. If, as suggested by von Kries et al., breast-feeding decreases the prevalence of obesity in childhood, the promotion of breast-feeding could be an important and economical public health tool in the fight against the rising incidence of obesity.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,027
Score d'incertitude au seuil0,269

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,235
Écart entre enseignants0,229 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations15
Publié2000
Routes d'admission2
Résumé présentoui

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Même revueJournal of Pediatric Gastroenterology and NutritionMême sujetBreastfeeding Practices and InfluencesTravaux en français237 207