scholarly journals Associations of cord blood metabolites with early childhood obesity risk

2015 ◽  
Vol 39 (7) ◽  
pp. 1041-1048 ◽  
Author(s):  
E Isganaitis ◽  
S L Rifas-Shiman ◽  
E Oken ◽  
J M Dreyfuss ◽  
W Gall ◽  
...  
2018 ◽  
Vol 31 (5) ◽  
pp. 497-501 ◽  
Author(s):  
Éadaoin M. Butler ◽  
José G.B. Derraik ◽  
Rachael W. Taylor ◽  
Wayne S. Cutfield

AbstractObesity is highly prevalent in children under the age of 5 years, although its identification in infants under 2 years remains difficult. Several clinical prediction models have been developed for obesity risk in early childhood, using a number of different predictors. The predictive capacity (sensitivity and specificity) of these models varies greatly, and there is no agreed risk threshold for the prediction of early childhood obesity. Of the existing models, only two have been practically utilized, but neither have been particularly successful. This commentary suggests how future research may successfully utilize existing early childhood obesity prediction models for intervention. We also consider the need for such models, and how targeted obesity intervention may be more effective than population-based intervention.


Author(s):  
Piotr Socha ◽  
Christian Hellmuth ◽  
Dariusz Gruszfeld ◽  
Hans Demmelmair ◽  
Peter Rzehak ◽  
...  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Kapp ◽  
A Frech ◽  
B Hall ◽  
A Kemner

Abstract Background Low strength of maternal-infant relationship (MIR) is consistently associated with early childhood obesity risk. Because obesity often persists once it develops, primary prevention is needed early. Home visiting programs support families with social determinants of health (SDH) and adverse childhood experiences (ACEs); SDH and ACEs contribute to health inequities. Addressing SDH and ACEs may facilitate improvements in MIR and ultimately mitigate early childhood obesity risk. Limited to no research has examined the association between ACEs, SDH, and MIR. In the context of a national, evidence-based home visiting program, we asked: are SDH and ACEs associated with low MIR? Methods This sample includes 6,972 children ages 0–<24 months enrolled in the Parents as Teachers home visiting program across the United States from sites using the Life Skills Progression (LSP) instrument through February 2020. Low MIR is dichotomized from a 1-5 scale, with low scores reflecting low nurturing, bonding, and responsiveness. We used the literature, theory, and a stepwise logistic regression model-building process to identify a parsimonious model for MIR. Results Preliminary results reflect 34.2% Hispanic or Latino, 22.7% non-Hispanic Black, 35.3% non-Hispanic Other race; 83.9% low income; 36.9% low education; and 13.4% mothers scoring low for MIR. Notable findings from modeling include: physical ACEs, captured here as child abuse or neglect (OR: 5.01, 95% CI: 4.10-6.11); mental illness ACEs, captured here as a mother/parent with mental illness (OR: 1.31, 95% CI: 1.05-1.63), or the mother/parent treated violently (OR: 1.95, 95% CI: 1.56-2.40). Protective associations include mothers' support of child development and self-esteem scores. Conclusions Understanding the complex interplay of SDH, ACEs, and MIR is critical for developing interventions that address “upstream” family characteristics in order to mitigate early childhood obesity risk. ACEs play a predominant role. Key messages This is the first known study to concurrently examine maternal-infant relationship, social determinants of health, and adverse childhood experiences. Home visiting programs may be critical partners in addressing these needs given their reach.


2020 ◽  
Vol 120 (3) ◽  
pp. 371-385 ◽  
Author(s):  
M. Pia Chaparro ◽  
May C. Wang ◽  
Christopher E. Anderson ◽  
Catherine M. Crespi ◽  
Shannon E. Whaley

2015 ◽  
Vol 169 (6) ◽  
pp. 543 ◽  
Author(s):  
Li Ming Wen ◽  
Louise A. Baur ◽  
Judy M. Simpson ◽  
Huilan Xu ◽  
Alison J. Hayes ◽  
...  

2021 ◽  
Author(s):  
Ariella R. Korn ◽  
Ross A. Hammond ◽  
Erin Hennessy ◽  
Aviva Must ◽  
Mark C. Pachucki ◽  
...  

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