Investigating the accuracy of parentally reported weights and lengths at 12 months of age as compared to measured weights and lengths in a longitudinal childhood genome study

Hazrati, Sahel; Hourigan, Suchitra K.; Waller, Allison; Yui, Yvonne; Gilchrist, Nancy; Huddleston, Kathi; Niederhuber, John E.

doi:10.1136/bmjopen-2016-011653

Cited by 13 publications

(7 citation statements)

References 28 publications

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“…Additionally, anthropometrics used were parent reported, which are known to have varying reliability. While measured anthropometrics were preferred, the accuracy of parent-reported anthropometrics was improved in this study by the removal of outliers, which has been previously validated in this cohort [28].…”

Section: Discussionmentioning

confidence: 95%

“…Gestational weight gain recommendations were categorized into: "lower than recommended range", "within recommended range," and "greater than recommended range" [27]. Parentally reported anthropometrics for infants at 12 months of age were recorded, outliers were removed for reported lengths using the interquartile range, and weight for length percentiles (WFLP) at 12 months were calculated with the World Health Organization sex-specific growth charts, as previously validated in this cohort [28]. In this study, excess weight was defined as WFLP ≥ 95th% and risk for excess weight as WFLP ≥ 85th%.…”

Section: Subjects and Sample Collectionmentioning

confidence: 99%

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Prenatal and Peripartum Exposure to Antibiotics and Cesarean Section Delivery Are Associated with Differences in Diversity and Composition of the Infant Meconium Microbiome

et al. 2020

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The meconium microbiome may provide insight into intrauterine and peripartum exposures and the very earliest intestinal pioneering microbes. Prenatal antibiotics have been associated with later obesity in children, which is thought to be driven by microbiome dependent mechanisms. However, there is little data regarding associations of prenatal or peripartum antibiotic exposure, with or without cesarean section (CS), with the features of the meconium microbiome. In this study, 16S ribosomal RNA gene sequencing was performed on bacterial DNA of meconium samples from 105 infants in a birth cohort study. After multivariable adjustment, delivery mode (p = 0.044), prenatal antibiotic use (p = 0.005) and peripartum antibiotic use (p < 0.001) were associated with beta diversity of the infant meconium microbiome. CS (vs. vaginal delivery) and peripartum antibiotics were also associated with greater alpha diversity of the meconium microbiome (Shannon and Simpson, p < 0.05). Meconium from infants born by CS (vs. vaginal delivery) had lower relative abundance of the genus Escherichia (p < 0.001). Prenatal antibiotic use and peripartum antibiotic use (both in the overall analytic sample and when restricting to vaginally delivered infants) were associated with differential abundance of several bacterial taxa in the meconium. Bacterial taxa in the meconium microbiome were also differentially associated with infant excess weight at 12 months of age, however, sample size was limited for this comparison. In conclusion, prenatal and peripartum antibiotic use along with CS delivery were associated with differences in the diversity and composition of the meconium microbiome. Whether or not these differences in the meconium microbiome portend risk for long-term health outcomes warrants further exploration.

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Section: Discussionmentioning

confidence: 95%

Section: Subjects and Sample Collectionmentioning

confidence: 99%

Prenatal and Peripartum Exposure to Antibiotics and Cesarean Section Delivery Are Associated with Differences in Diversity and Composition of the Infant Meconium Microbiome

et al. 2020

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“…Anthropometrics for the children with FASDs were caregiver-reported measurements, which included the children's birth weight, current weight, and current height. Anthropometric measurements of children through maternal, parent or caregiver-reported surveys have been evaluated in other published studies and found to be appropriate for birthweight and in weight for length percentiles when outliers were removed [30,31]. Birthweight was categorized as a low birthweight of <2.5 kg.…”

Section: Children Anthropometric Measurementsmentioning

confidence: 99%

Atypical Eating Behaviors Identified in Children with Fetal Alcohol Spectrum Disorders, Aged 3 to 5 Years, Using the Children’s Eating Behavior Questionnaire in a Caregiver-Reported Online Survey

Evans¹,

Payton²,

Kennedy³

2016

J. Intellect. Disabl. Diagn. Treat.

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Background: Children with fetal alcohol spectrum disorders (FASDs), aged 3 to 5 years, have physical, behavioral, and functional problems. Because of alcohol-related deficits, children with FASDs are at risk for malnutrition; yet, little is known about how FASD affects eating behavior and nutrition. Aim: The purpose of this study was to identify atypical eating behavior in children with FASDs, aged 3 to 5 years, and their associations with socio-demographic characteristics. Method: This descriptive cross-sectional study gathered data from a caregiver-reported online survey targeting the eating behavior of preschool-aged children with FASDs. The survey included the Children's Eating Behavior Questionnaire (CEBQ) and a socio-demographic questionnaire. Participants/Setting: Seventy-four caregivers qualified for the study with nine having two children with FASDs. Responses to survey questions varied since caregivers had permission to omit any question. Results: Significant differences were found between the preschool-aged children with FASDs and Wardle's published normative sample by gender and age. Compared to reported norms, study children scored higher in Desire to Drink, Food Responsiveness, Emotional Overeating, and Food Fussiness, and lower in Enjoyment of Food. Regarding sociodemographic characteristics, there was greater Enjoyment of Food with larger families and Food Avoidance with collegeeducated caregivers. Conclusion: Children with FASDs, aged 3 to 5 years, have atypical eating behaviors characteristic of maladaptive appetites, overeating under stress, selective eating, slowness in eating, and an excessive need for drinks, in comparison with a published normative sample.

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“…The First 1000 Days and Beyond (F1000 or FTDL) study is a longitudinal pregnancy cohort of mother-child pairs living in Virginia. 20,21 Women were ≥18 years of age and willing to participate participate between 2016 and 2021. 22,23 A total of 708 mother-child pairs with complete data on birth information also consented for biospecimen collection including urine for metal assays.…”

Section: Scenariomentioning

confidence: 99%

Cross-cohort mixture analysis: a data integration approach with applications on gestational age and DNA-methylation-derived gestational age acceleration metrics

Colicino

Ascari

Saddiki

et al. 2023

Preprint

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Background: Data integration of multiple epidemiologic studies can provide enhanced exposure contrast and statistical power to examine associations between environmental exposure mixtures and health outcomes. Extant studies have combined population studies and identified an overall mixture-outcome association, without accounting for differences across studies. Objective: To extend the novel Bayesian Weighted Quantile Sum (BWQS) regression to a hierarchical framework to analyze mixtures across multiple cohorts of different sample sizes. Methods: We implemented a hierarchical BWQS (HBWQS) approach that (i) aggregates the sample size of multiple cohorts to calculate an overall mixture index, thereby identifying the most harmful exposure(s) across cohorts; and (ii) provides cohort-specific associations between the overall mixture index and the outcome. We showed results from six simulated scenarios including four mixture components in five and ten populations, and two real case examples on the association between prenatal metal mixture exposure comprising arsenic, cadmium and lead and both gestational age and gestational age acceleration metrics. Results: Results from simulated scenarios showed good empirical coverage and little bias for all parameters estimated with HBWQS. The Watanabe-Akaike information criterion (WAIC) for the HBWQS regression showed a better average performance across scenarios than the BWQS regression. HBWQS results incorporating cohorts within the national Environmental Influences on Child Health Outcomes (ECHO) program from three different sites (Boston, New York City (NYC), and Virginia) showed that the environmental mixture composed of low levels of arsenic, cadmium, and lead was negatively associated with gestational age in NYC. Conclusions: This novel statistical approach facilitates the combination of multiple cohorts and accounts for individual cohort differences in mixture analyses. Findings from this approach can be used to develop regulations, policies, and interventions regarding multiple co-occurring environmental exposures and it will maximize the use of extant publicly available data.

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Investigating the accuracy of parentally reported weights and lengths at 12 months of age as compared to measured weights and lengths in a longitudinal childhood genome study

Cited by 13 publications

References 28 publications

Prenatal and Peripartum Exposure to Antibiotics and Cesarean Section Delivery Are Associated with Differences in Diversity and Composition of the Infant Meconium Microbiome

Prenatal and Peripartum Exposure to Antibiotics and Cesarean Section Delivery Are Associated with Differences in Diversity and Composition of the Infant Meconium Microbiome

Atypical Eating Behaviors Identified in Children with Fetal Alcohol Spectrum Disorders, Aged 3 to 5 Years, Using the Children’s Eating Behavior Questionnaire in a Caregiver-Reported Online Survey

Cross-cohort mixture analysis: a data integration approach with applications on gestational age and DNA-methylation-derived gestational age acceleration metrics

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