Can Breastfeeding Reduce the Risk of Childhood Obesity?
Notice bibliographique
Résumé
Childhood Obesity 54 how it differs in constituents and method of delivery from infant formula and 3) to summarize the high level research (i.e., systematic reviews and meta analysis) that examines the relationship between breastfeeding and childhood obesity. Definition of obesity/childhood obesityObesity is defined as excessive accumulation of fatty tissue that can hinder the effective functioning of the human body (WHO, 2000).As a result, health problems may ensue, leading to a poor quality of life and decreased lifespan.When seen in childhood, the issues of obesity can be far more extensive, as health problems occur earlier in life and place a burden on the child, family, community and health care system.The calculations that determine obesity in children are not as clear-cut as one might think.It has been suggested that the standard BMI (weight (kg)/height (m 2 )) should not be used as the sole measurement, since children's height and weight vary greatly during major growth spurts (Logue & Sattar, 2011).In addition, waist circumference should be included in the calculation, as central obesity is considered a major risk factor for Type 2 Diabetes Mellitus (DM) and Coronary Artery Disease (CAD) (Kovacs et al., 2010;Steene-Johannessen et al., 2010; Stevens et al., 2010).Currently, the classification of overweight and obesity varies among major agencies (Table 1).The US Centre for Disease Control (CDC), International Obesity Task Force (IOTF) and WHO base their determinations on different populations during different time periods.The CDC surveyed American children from 1963-1994 (National Centre for Health Statistics, 2002).In 2000, the IOTF based their criteria on children from US, Brazil, Great Britain, Hong Kong, Netherlands and Singapore (Cole et al., 2000).In comparison, in 2006, the WHO collected data on children from US, Brazil, Ghana, India, Oman and Norway (WHO Multicentre Growth Reference Study Group, 2006) who lived in optimal health conditions, and were exclusively/primarily breastfed for up to 4 months, with some breastfeeding extending until 12 months of age.Using information and extrapolating for children, the cutoff points are given below.These guidelines should be considered when reviewing data on obesity rates in various reports, as different definitions provide varying prevalence estimates.For example the CDC cut-offs tend to report a much higher prevalence of obesity compared to the other growth references (Twells & Newhook, 2011).Another point to consider is whether or not growth charts for infants (based on age) should be modified based on infant feeding method.Formula fed children grow faster than those who are breastfed (Dewey, 1998;Kramer et al., 2004;Victora et al., 1998), possibly due to the higher protein content of formula versus breast milk, which should be considered when referring to patterns of infant growth (Alexy et al., 1999;Koletzko et al., 2005).Even with guidelines, such as those from CDC, IOTF, and WHO, it is suggested that childhood overweight and obesity are often underdiagnosed.The development of a better diagnostic tool may be beneficial, since it is within childhood that interventions might prove to be more effective (Benson, 2009).US CDC IOTF WHO Overweight >85 th ≥91st >84th Obese ≥95th ≥99th >97.7thTable 1.Childhood obesity rankings (percentile) www.intechopen.comCan Breastfeeding Reduce the Risk of Childhood Obesity? 55 Global prevalence of childhood obesityThe prevalence of obesity is increasing throughout the world, particularly among children.In 2008, 1.5 billion adults (20 and older) were overweight; comparatively in 2010, 43 million children under the age of 5 were overweight (WHO, 2011a).Human obesity develops as a result of interactions between genes, environmental factors, and behaviour.It has been found that genetic disorders such as Bardet-Biedl and Prader-Willi syndromes can directly cause obesity and, as a result of the study of twins and adopted children, heritability estimates of 40-70% have been reported (Farooqi & O'Rahilly, 2006).The relatively recent rise in global obesity rates over the last 25 years however suggest that mainly environmental factors are involved.Current environmental and lifestyle issues (social, behavioural, cultural and community) which promote an imbalance between energy intake and energy expenditure are purported to be the main causes of increasing obesity rates.The sedentary lifestyle and high-caloric diet seen in many populations have led to alarming rates of childhood obesity.As shown in Figure 1, since 1976 the United States has seen a surge in obesity rates among all age groups of children; particularly, obesity rates among preschool children aged 2-5 increased from 5.0% to 10.4% over the 1976/1980 to the 2007/2008 time span (Ogden & Carroll, 2010).Similar increases have been reported in regional populations in Canada (Canning et al., 2007).
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,002 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».