How pre- and postnatal risk factors modify the effect of rapid weight gain in infancy and early childhood on subsequent fat mass development: results from the Multicenter Allergy Study 90

Karaolis-Danckert, Nadina; Buyken, Anette E.; Kulig, Michael; Kroke, Anja; Förster, Johannes; Kamin, Wolfgang; Schuster, Antje; Hornberg, Claudia; Keil, Thomas; Bergmann, Renate L.; Wahn, Ulrich; Lau, Susanne

doi:10.1093/ajcn/87.5.1356

Cited by 80 publications

(103 citation statements)

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“…10,74,75 Studies have shown an association with a mother's weight gain during pregnancy and a child's increased risk of being obese later in life. [74][75][76] To determine whether a mother's weight gain during pregnancy was the cause and not the infant's surrounding environment, two studies examined the mother and father's BMI values and their relationship to the child's BMI value and found that the association between maternal BMI and child BMI was statistically similar to the paternal BMI and child BMI, suggesting that increased adiposity could be more related to the postnatal environment and not a maternal effect. 10,77 Secondhand Smoke Exposure (SHS) The role of prenatal cigarette smoke exposure and childhood obesity has long been a focus of many adverse health outcomes including obesity.…”

Section: Sleepmentioning

confidence: 99%

“…These studies found an association between maternal prenatal smoking and childhood obesity even after accounting for various confounding factors. 12,16,76,[78][79][80][81][82][83][84][85][86][87][88][89][90][91] Although there is a compelling link between prenatal smoking and childhood obesity, it is not always clear-cut for both genders and all maternal smoking levels. 86,87 One study followed children from 2 to 10 years of age and found that males whose mothers smoked during pregnancy had a lower BMI at age 2 years than those born to non-smoking mothers or had partners who smoked.…”

Section: Sleepmentioning

confidence: 99%

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Chemical and non-chemical stressors affecting childhood obesity: a systematic scoping review

Lichtveld

Thomas

Tulve

2017

J Expo Sci Environ Epidemiol

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Childhood obesity in the United States has doubled over the last three decades and currently affects 17% of children and adolescents. While much research has focused on individual behaviors impacting obesity, little research has emphasized the complex interactions of numerous chemical and non-chemical stressors found in a child's environment and how these interactions affect a child's health and well-being. The objectives of this systematic scoping review were to (1) identify potential chemical stressors in the context of non-chemical stressors that impact childhood obesity; and, (2) summarize our observations for chemical and non-chemical stressors in regards to child-specific environments within a community setting. A review was conducted to identify chemical and non-chemical stressors related to childhood obesity for the childhood life stages ranging from prenatal to adolescence. Stressors were identified and grouped into domains: individual behaviors, family/household behaviors, community stressors, and chemical exposures. Stressors were related to the child and the child's everyday environments and used to characterize child health and well-being. This review suggests that the interactions of chemical and non-chemical stressors are important for understanding a child's overall health and well-being. By considering these relationships, the exposure science research community can better design and implement strategies to reduce childhood obesity.

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Section: Sleepmentioning

confidence: 99%

Section: Sleepmentioning

confidence: 99%

Chemical and non-chemical stressors affecting childhood obesity: a systematic scoping review

Lichtveld

Thomas

Tulve

2017

J Expo Sci Environ Epidemiol

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“…17,47 It is suggested that infants of mothers who had smoked in pregnancy often exhibit high rapid postnatal weight gain. 48,49 Smoking in pregnancy may also be a proxy for other social and lifestyle characteristics including poor dietary choices and socioeconomic status. 50 It is important to investigate whether addressing these potentially modifiable risk factors such as maternal smoking in pregnancy and high infant birth weight can reduce the risk of obesity in children and reduce the burden of intervention in the postnatal period.…”

Section: Figurementioning

confidence: 99%

Estimating Overweight Risk in Childhood From Predictors During Infancy

et al. 2013

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WHAT'S KNOWN ON THIS SUBJECT: Several risk factors for both overweight and obesity in childhood are identifiable during infancy. WHAT THIS STUDY ADDS:A simple risk algorithm can be used to quantify risk of overweight in children. It can be used to help identify at-risk infants in a clinical setting to facilitate targeted intervention.abstract OBJECTIVE: The aim of this study was to develop and validate a risk score algorithm for childhood overweight based on a prediction model in infants. METHODS:Analysis was conducted by using the UK Millennium Cohort Study. The cohort was divided randomly by using 80% of the sample for derivation of the risk algorithm and 20% of the sample for validation.Stepwise logistic regression determined a prediction model for childhood overweight at 3 years defined by the International Obesity Task Force criteria. Predictive metrics R 2 , area under the receiver operating curve (AUROC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated.RESULTS: Seven predictors were found to be significantly associated with overweight at 3 years in a mutually adjusted predictor model: gender, birth weight, weight gain, maternal prepregnancy BMI, paternal BMI, maternal smoking in pregnancy, and breastfeeding status. Risk scores ranged from 0 to 59 corresponding to a predicted risk from 4.1% to 73.8%. The model revealed moderately good predictive ability in both the derivation cohort (R 2 = 0.92, AUROC = 0.721, sensitivity = 0.699, specificity = 0.679, PPV = 38%, NPV = 87%) and validation cohort (R 2 = 0.84, AUROC = 0.755, sensitivity = 0.769, specificity = 0.665, PPV = 37%, NPV = 89%).CONCLUSIONS: Using a prediction algorithm to identify at-risk infants could reduce levels of child overweight and obesity by enabling health professionals to target prevention more effectively. Further research needs to evaluate the clinical validity, feasibility, and acceptability of communicating this risk.

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“…However, none of these studies have examined how these feeding styles influence a child's body weight status. In addition, studies have not evaluated how pregnancy and infancy factors such as, overweight or obesity at the time of pregnancy (Catalano et al, 2009;Whitaker, 2004), smoking before, during, or after pregnancy Moschonis, Grammatikaki, & Manios, 2008;Olson, Strawderman, & Dennison, 2009), or a lack of breastfeeding during infancy (Karaolis-Danckert et al, 2008;Toschke et al, 2002) moderate the relationship between maternal beliefs and behavior and the child's body weight status. These issues represent significant gaps in the literature.…”

Section: Statement Of the Problemmentioning

confidence: 99%

“…One infancy factor is choosing not to breast feed, as breastfeeding during infancy has been shown to be protective against early childhood obesity ( Karaolis-Danckert et al, 2008;Toschke et al, 2002). Lastly, maternal smoking before, during, or after pregnancy has also been shown to be a risk factor for early childhood obesity Moschonis et al, 2008;Olson et al, 2009).…”

Section: Pregnancy and Infancy Factors Influencing Childhood Obesitymentioning

confidence: 99%

The Effect of Maternal Beliefs and Behavior on the Body Weight Status of Preschool-aged Children

Boucher¹

2014

Journal of Pediatric Health Care

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How pre- and postnatal risk factors modify the effect of rapid weight gain in infancy and early childhood on subsequent fat mass development: results from the Multicenter Allergy Study 90

Abstract: The occurrence of rapid weight gain between birth and 2 y and the magnitude of its effect on BF% development in AGA children is influenced by both intrauterine and postnatal exposures.

Cited by 80 publications

References 50 publications

Chemical and non-chemical stressors affecting childhood obesity: a systematic scoping review

Chemical and non-chemical stressors affecting childhood obesity: a systematic scoping review

Estimating Overweight Risk in Childhood From Predictors During Infancy

The Effect of Maternal Beliefs and Behavior on the Body Weight Status of Preschool-aged Children

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