Early Adiposity Rebound Predicts Later Overweight and Provides Useful Information on Obesity Development

2021 ◽  
Author(s):  
Marie-Françoise Rolland-Cachera ◽  
Sandrine Péneau ◽  
France Bellisle
Keyword(s):  
2017 ◽  
Vol 11 (03) ◽  
pp. 146-153
Author(s):  
S. Wiegand ◽  
B. Jödicke

ZusammenfassungAktuell sind ca. 2 Millionen Kinder und Jugendliche in Deutschland übergewichtig oder adipös. Bis zur Einschulung ist die Prävalenz auf hohem Niveau stabil, in einigen Bundesländern sogar leicht rückläufig. Im Rahmen der Vorsorgeuntersuchungen können Kinder mit einem Risiko für die Entwicklung von Übergewicht/Adipositas leicht identifiziert werden, z.B. durch einen frühen Adiposity Rebound. Präventionsmaßnahmen richten sich bis zum Vorschulalter primär an die Eltern, ab Schulalter sind auch Lehrer/Innen wichtige Bezugspersonen, können zu gesunden Lebenswelten beitragen und eine pathologische (Gewichts-) Entwicklung ansprechen. Eine Stigmatisierung der betroffenen Kinder/ Jugendlichen muss dabei unbedingt vermieden werden. Neben einer medizinischen Abklärung ist die gemeinsame Problemanalyse gewichtsrelevanter Lebensbereiche Voraussetzung für sinnvolle Verhaltensänderungen. Unabhängig davon ist mit evidenten Maßnahmen der Verhältnisprävention (z.B. Trinkwasserspender in Schulen; 1 Stunde aktiver Unterricht/Tag) nicht nur eine weitere Zunahme der Adipositasprävalenz verhinderbar, sondern eine Verbesserung der gesundheitsbezogenen Lebensqualität für alle Kinder zu erreichen.


Author(s):  
Aminata Hallimat Cissé ◽  
Sandrine Lioret ◽  
Blandine de Lauzon-Guillain ◽  
Anne Forhan ◽  
Ken K. Ong ◽  
...  

Abstract Background Early adiposity rebound (AR) has been associated with increased risk of overweight or obesity in adulthood. However, little is known about early predictors of age at AR. We aimed to study the role of perinatal factors and genetic susceptibility to obesity in the kinetics of AR. Methods Body mass index (BMI) curves were modelled by using mixed-effects cubic models, and age at AR was estimated for 1415 children of the EDEN mother–child cohort study. A combined obesity risk-allele score was calculated from genotypes for 27 variants identified by genome-wide association studies of adult BMI. Perinatal factors of interest were maternal age at delivery, parental education, parental BMI, gestational weight gain, maternal smoking during pregnancy, and newborn characteristics (sex, prematurity, and birth weight). We used a hierarchical level approach with multivariable linear regression model to investigate the association between these factors, obesity risk-allele score, and age at AR. Results A higher genetic susceptibility to obesity score was associated with an earlier age at AR. At the most distal level of the hierarchical model, maternal and paternal educational levels were positively associated with age at AR. Children born to parents with higher BMI were more likely to exhibit earlier age at AR. In addition, higher gestational weight gain was related to earlier age at AR. For children born small for gestational age, the average age at AR was 88 [±39] days lower than for children born appropriate for gestational age and 91 [±56] days lower than for children born large for gestational age. Conclusion The timing of AR seems to be an early childhood manifestation of the genetic susceptibility to adult obesity. We further identified low birth weight and gestational weight gain as novel predictors of early AR, highlighting the role of the intrauterine environment in the kinetics of adiposity.


2021 ◽  
Author(s):  
Juliana Nogueira Pontes Nobre ◽  
Rosane Luzia de Souza Morais ◽  
Maria Letícia Ramos-Jorge ◽  
Amanda Cristina Fernandes ◽  
Ângela Alves Viegas ◽  
...  

Abstract Background: Childhood obesity requires approaches that combine personal interventions with social and environmental changes. The preschool period is crucial in the context of the expansion of adipose tissue since it covers the adiposity rebound. Although emerging studies verifying a range of possible social, environmental, and personal explanatory variables for childhood obesity, the assessment of body fat mass using a gold standard instrument, is still a gap especially during the preschool period. The aim of this study was to determine social, environmental, and personal factors associated to the excess of body fat mass in preschool period. Methods: Quantitative, exploratory, cross-sectional study developed in public schools. Results: Analyzes using univariate and multivariate models demonstrated that parental obesity, highest quality of environmental stimulation and screen time explained almost 50% the excess of body fat mass in preschoolers. Conclusion: The presence of obesity in one parent, a home environment with high stimulation, and permanence for a long period on-screen are outcomes strongly associated with the presence of an excess of body fat mass in the preschool period. These findings may assist the development of public guidelines focusing on child health to outline effective strategies that contribute to the quality of life and treatment of preschoolers with excess body fat mass.


Obesity ◽  
2021 ◽  
Vol 30 (1) ◽  
pp. 201-208
Author(s):  
David S. Freedman ◽  
Amy J. Goodwin‐Davies ◽  
Lyudmyla Kompaniyets ◽  
Samantha J. Lange ◽  
Alyson B. Goodman ◽  
...  

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Bethany Runkel ◽  
Vincent Staggs ◽  
Chelsea Hosey Cojocari ◽  
Jonathan B Wagner

Introduction: Complex single ventricle congenital heart disease (CHD) patients are subject to multiple stressors early in life that affect somatic growth. Pre-Fontan growth patterns are well-described, but post-Fontan growth has not been extensively studied in the current era. We sought to describe post-Fontan growth patterns by creating sex-specific body mass index (BMI)-for-age curves. Hypothesis: There is no difference in the growth of post-Fontan pediatric patients when compared to published normative data. Methods: A single-center, preexisting database was retrospectively queried for all patients who underwent Fontan procedure between 2006 and 2018. Patients with a genetic syndrome, a primary endocrine disorder, or significant prematurity were excluded. BMI-for-age curves were created for both male and female patients using anthropometric data extracted from the electronic medical record. Curves were then visually compared with Centers for Disease Control and Prevention (CDC) growth charts. Results: Of 227 patients who underwent primary Fontan operation, 37 were excluded. Of the remaining 190 patients, 59% were male. All had an extracardiac conduit, half had right-ventricular dominant CHD, and 15% had a Fontan fenestration. Median age and weight at surgery were 3.9 years and 15 kilograms, respectively. BMI curves were similar in appearance to CDC BMI-for-age growth charts, with adiposity rebound at age 6. BMI increased more rapidly in teen boys compared with girls, and a total of five patients (2.6%) had BMI values greater than 25 kg/m 2 at 16 years of age. Conclusion: Post-Fontan patients at our institution demonstrate BMI-for-age patterns similar to those of the general population during childhood and early adolescence, with adiposity rebound occurring at a typical age. Though excess weight gain does not completely spare patients with single ventricle CHD, overweight status appears to be less common than in the general pediatric population.


Author(s):  
Satomi Koyama ◽  
Katsura Kariya ◽  
Go Ichikawa ◽  
Naoto Shimura ◽  
Toshimi Sairenchi ◽  
...  

2007 ◽  
Vol 5 (3) ◽  
pp. 409-425 ◽  
Author(s):  
J. Vignerová ◽  
L. Humeníkova ◽  
M. Brabec ◽  
J. Riedlová ◽  
P. Bláha

2018 ◽  
Vol 14 (1) ◽  
pp. e12467 ◽  
Author(s):  
M. F. Rolland-Cachera ◽  
T. J. Cole

2019 ◽  
Vol 116 (27) ◽  
pp. 13266-13275 ◽  
Author(s):  
Christopher W. Kuzawa ◽  
Clancy Blair

The causes of obesity are complex and multifactorial. We propose that one unconsidered but likely important factor is the energetic demand of brain development, which could constrain energy available for body growth and other functions, including fat deposition. Humans are leanest during early childhood and regain body fat in later childhood. Children reaching this adiposity rebound (AR) early are at risk for adult obesity. In aggregate data, the developing brain consumes a lifetime peak of 66% of resting energy expenditure in the years preceding the AR, and brain energy use is inversely related to body weight gain from infancy until puberty. Building on this finding, we hypothesize that individual variation in childhood brain energy expenditure will help explain variation in the timing of the AR and subsequent obesity risk. The idea that brain energetics constrain fat deposition is consistent with evidence that genes that elevate BMI are expressed in the brain and mediate a trade-off between the size of brain structures and BMI. Variability in energy expended on brain development and function could also help explain widely documented inverse relationships between the BMI and cognitive abilities. We estimate that variability in brain energetics could explain the weight differential separating children at the 50th and 70th BMI-for-age centiles immediately before the AR. Our model proposes a role for brain energetics as a driver of variation within a population’s BMI distribution and suggests that educational interventions that boost global brain energy use during childhood could help reduce the burden of obesity.


Sign in / Sign up

Export Citation Format

Share Document