Assortative weight gain in mother–daughter and father–son pairs: an emerging source of childhood obesity. Longitudinal study of trios (EarlyBird 43)

2009 ◽  
Vol 33 (7) ◽  
pp. 727-735 ◽  
Author(s):  
E M Perez-Pastor ◽  
B S Metcalf ◽  
J Hosking ◽  
A N Jeffery ◽  
L D Voss ◽  
...  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Megan E. Petrov ◽  
Nana Jiao ◽  
Sarada S. Panchanathan ◽  
Elizabeth Reifsnider ◽  
Dean V. Coonrod ◽  
...  

Abstract Background Overweight, obesity, and associated comorbidities are a pressing global issue among children of all ages, particularly among low-income populations. Rapid weight gain (RWG) in the first 6 months of infancy contributes to childhood obesity. Suboptimal sleep-wake patterns and gut microbiota (GM) have also been associated with childhood obesity, but little is known about their influences on early infant RWG. Sleep may alter the GM and infant metabolism, and ultimately impact obesity; however, data on the interaction between sleep-wake patterns and GM development on infant growth are scarce. In this study, we aim to investigate associations of infant sleep-wake patterns and GM development with RWG at 6 months and weight gain at 12 months. We also aim to evaluate whether temporal interactions exist between infant sleep-wake patterns and GM, and if these relations influence RWG. Methods The Snuggle Bug/ Acurrucadito study is an observational, longitudinal study investigating whether 24-h, actigraphy-assessed, sleep-wake patterns and GM development are associated with RWG among infants in their first year. Based on the Ecological Model of Growth, we propose a novel conceptual framework to incorporate sleep-wake patterns and the GM as metabolic contributors for RWG in the context of maternal-infant interactions, and familial and socio-physical environments. In total, 192 mother-infant pairs will be recruited, and sleep-wake patterns and GM development assessed at 3 and 8 weeks, and 3, 6, 9, and 12 months postpartum. Covariates including maternal and child characteristics, family and environmental factors, feeding practices and dietary intake of infants and mothers, and stool-derived metabolome and exfoliome data will be assessed. The study will apply machine learning techniques combined with logistic time-varying effect models to capture infant growth and aid in elucidating the dynamic associations between study variables and RWG. Discussion Repeated, valid, and objective assessment at clinically and developmentally meaningful intervals will provide robust measures of longitudinal sleep, GM, and growth. Project findings will provide evidence for future interventions to prevent RWG in infancy and subsequent obesity. The work also may spur the development of evidence-based guidelines to address modifiable factors that influence sleep-wake and GM development and prevent childhood obesity.


2016 ◽  
Vol 30 (1) ◽  
pp. 51-58 ◽  
Author(s):  
S. P. Mourtakos ◽  
K. D. Tambalis ◽  
D. B. Panagiotakos ◽  
G. Antonogeorgos ◽  
C. D. Alexi ◽  
...  

1998 ◽  
Vol 79 (02) ◽  
pp. 328-330 ◽  
Author(s):  
D. Wright ◽  
J. M. Thomson ◽  
A. Sidebotham ◽  
C. F. Hirst ◽  
P. Hirsch ◽  
...  

SummaryA longitudinal study of 21 pregnant women has been undertaken using a variety of factor VII assays, including factor VIIa, to investigate the increase of factor VIIc. All assays demonstrated significant rises (p <0.001), most marked for factor VIIa (82%) and factor VIIc rabbit (81%). Smaller rises were seen for factor VIIc bovine (50%) and VII antigen (40%). Three indirect measures of activity state, factor VIIc rabbit:antigen, bovine:antigen and bovine:rabbit, provided conflicting data. Factor VIIa:antigen showed a significant increase of 36% (p <0.001). Within individual pregnancies the change in factor VIIc rabbit and antigen correlated with maternal weight gain (p <0.05). Two activity state measures, bovine:rabbit and bovine:antigen, showed negative correlation with birthweight. The increases in both zymogen and in activity state appear to contribute to the factor VIIc rise. The extent of this rise appears to be influenced by maternal weight gain. Increased factor VII activation is associated with reduced foetal growth.


2021 ◽  
Author(s):  
Torill Alise Rotevatn ◽  
Rikke Nørmark Mortensen ◽  
Line Rosenkilde Ullits ◽  
Christian Torp‐Pedersen ◽  
Charlotte Overgaard ◽  
...  

2019 ◽  
Vol 32 (5) ◽  
pp. 439-445 ◽  
Author(s):  
Mohammad Aghaali ◽  
Seyed Saeed Hashemi-Nazari

Abstract Background Recent studies have shown that antibiotic exposure during infancy is associated with increased body mass in healthy children. This study was performed to investigate the association between early-life antibiotic exposure and risk of childhood obesity. Methods A systematic review and meta-analysis was performed to comprehensively and quantitatively determine the association between early antibiotic exposure and risk of childhood obesity. Various databases such as PubMed, Embase, Scopus, Web of Science, ProQuest, Cochrane and Google Scholar were searched. A random-effects meta-analysis was performed to pool the statistical estimates. Additionally, a subgroup analysis was performed based on the time of follow-up. Results Nineteen studies involving at least 671,681 participants were finally included. Antibiotic exposure in early life was significantly associated with risk of childhood weight gain and obesity (odds ratio [OR]: 1.05, 95% confidence interval [CI]: 1.04–1.06). Conclusions Antibiotic exposure in early life significantly increases the risk of childhood weight gain and obesity.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Esther M. Leerkes ◽  
Cheryl Buehler ◽  
Susan D. Calkins ◽  
Lenka H. Shriver ◽  
Laurie Wideman

Abstract Background Childhood obesity remains a significant public health problem. To date, most research on the causes and correlates of obesity has focused on a small number of direct predictors of obesity rather than testing complex models that address the multifactorial nature of the origins of obesity in early development. We describe the rationale and methods of iGrow (Infant Growth and Development Study) which will test multiple pathways by which (a) prenatal maternal psychobiological risk predicts infant weight gain over the first 6 months of life, and (b) this early weight gain confers risk for obesity at age 2. Infant hormonal and psychobiological risk are proposed mediators from prenatal risk to early weight gain, though these are moderated by early maternal sensitivity and obesogenic feeding practices. In addition, higher maternal sensitivity and lower obesogenic feeding practices are proposed predictors of adaptive child self-regulation in the second year of life, and all three are proposed to buffer/reduce the association between high early infant weight gain and obesity risk at age 2. Methods iGrow is a prospective, longitudinal community-based study of 300 diverse mothers and infants to be followed across 5 data waves from pregnancy until children are age 2. Key measures include (a) maternal reports of demographics, stress, well-being, feeding practices and child characteristics and health; (b) direct observation of maternal and infant behavior during feeding, play, and distress-eliciting tasks during which infant heart rate is recorded to derive measures of vagal withdrawal; (c) anthropometric measures of mothers and infants; and (d) assays of maternal prenatal blood and infant saliva and urine. A host of demographic and other potential confounds will be considered as potential covariates in structural equation models that include tests of mediation and moderation. Efforts to mitigate the deleterious effects of COVID-19 on study success are detailed. Discussion This study has the potential to inform (1) basic science about early life processes casually related to childhood obesity and (2) development of targeted intervention and prevention approaches that consider mother, infant, and family risks and resources.


2014 ◽  
Vol 34 (1) ◽  
pp. 48-53
Author(s):  
K Thapa

Childhood obesity is a global epidemic and a major public health challenge. There has been increasing evidence that intrauterine exposures, such as alcohol, smoking, and maternal nutritional status, may affect both the long and short term health consequences of the mother and offspring. Childhood adiposity may be affected by the mother’s pre-pregnancy weight and her weight gain during pregnancy. Consequently, interventions may need to start before conception of the child to prevent childhood obesity. In 2009, the Institute of Medicine updated its gestational weight gain recommendations by incorporating rates of gestational weight gain in the second and third trimesters based on the mother’s pre-pregnancy Body Mass Index. There is extensive research on the association between total gestational weight gain and short-term offspring adiposity. However, this review focuses on the association between trimester-specific gestational weight gain and childhood adiposity for singleton pregnancies with respect to the Institute of Medicine’s newly defined weight gain recommendations as very few studies have examined the association between the gestational weight gain during each trimester and childhood adiposity. Identifying the trimester that is most associated with childhood adiposity may help in the development of targeted interventions, guide physician’s nutritional and weight-gain recommendations for child-bearing mothers, and direct future research. DOI: http://dx.doi.org/10.3126/jnps.v34i1.8429   J Nepal Paediatr Soc 2014;34(1):48-53


Obesity ◽  
2017 ◽  
Vol 25 (9) ◽  
pp. 1569-1576 ◽  
Author(s):  
Nicholas T. Broskey ◽  
Peng Wang ◽  
Nan Li ◽  
Junhong Leng ◽  
Weiqin Li ◽  
...  

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