Sentences with phrase «predict child weight»

Mothers» feeding behaviors in infancy: Do they predict child weight trajectories?

Not exact matches

Maternal feeding practices predict weight gain and obesogenic eating behaviors in young children: a prospective study.
According to Dr. Alex Roche, adult height can be predicted using a simple mathematical equation using parent height, current child height and current child weight.
Young children's weight predicts their future health, says epidemiologist Ashleigh May, the lead author of the CDC report: «If they're obese at this age, they're five times as likely to become obese as adults.»
«Based on the variability of pharmacokinetic parameters and drug clearance, the two Vancomycin nomograms developed to predict therapeutic Vancomycin concentrations in healthy adults did not accurately estimate dosage regimens in older children regardless of weight or age, and therefore should not be used to aid empiric dosing,» said Dr. Jessica Gillon.
For example, some have found significant differences between children with divorced and continuously married parents even after controlling for personality traits such as depression and antisocial behavior in parents.59 Others have found higher rates of problems among children with single parents, using statistical methods that adjust for unmeasured variables that, in principle, should include parents» personality traits as well as many genetic influences.60 And a few studies have found that the link between parental divorce and children's problems is similar for adopted and biological children — a finding that can not be explained by genetic transmission.61 Another study, based on a large sample of twins, found that growing up in a single - parent family predicted depression in adulthood even with genetic resemblance controlled statistically.62 Although some degree of selection still may be operating, the weight of the evidence strongly suggests that growing up without two biological parents in the home increases children's risk of a variety of cognitive, emotional, and social problems.
RESULTS: Hierarchical regression analyses revealed that long - term success (at least 5 % weight reduction by the 1 - year follow - up) versus failure (dropping out or less weight reduction) was significantly predicted by the set of psychosocial variables (family adversity, maternal depression, and attachment insecurity) when we controlled for familial obesity, preintervention overweight, age, and gender of the index child and parental educational level.
Regarding the child, the importance of the intrauterine and early postnatal environments for metabolic programming and modifications of the epigenome is increasingly recognised, 12 — 14 particularly for metabolic diseases such as obesity and diabetes.15 Thus, GDM is related to macrosomia at birth (> 4 kg), to excess body fat and (central) obesity and to insulin secretion in infants and children, the obesity being in part mediated by maternal body mass index (BMI) or birth weight.16 — 23 Intrauterine exposure to GDM also doubles the risk for subsequent type 2 diabetes in offspring compared with offspring of mothers with a high genetic predisposition for type 2 diabetes, but with normal glucose tolerance during the index pregnancy.24 Maternal prepregnancy overweight and excessive gestational weight gain also predict high birth weight and adiposity during infancy.12 25 This is highly relevant, as up to 60 % — 70 % of women with GDM are overweight or obese before pregnancy.26 Finally, maternal lifestyle behaviour such as a high fat diet or lack of physical activity during pregnancy can influence offspring adiposity independent of maternal obesity.12 27
To analyze whether baseline psychosocial variables can be used to predict weight change up to a 12 - month follow - up examination in children and adolescents who attend a «best - practice» routine - care lifestyle intervention, we conducted a longitudinal analysis with 3 assessment waves: at baseline (T0: within 3 weeks before the start of the intervention) body weight and height of participants and family members and the psychosocial family characteristics were assessed; at the conclusion of the program (T1: 1 year after T0) and 1 year after conclusion (T2: 2 years after T0), body weights and heights of participants were reassessed.
In this study, we examined possible two - and three - way interactions and child DRD4 polymorphisms and birth weight and maternal caregiving at age 6 months in longitudinally predicting attachment disorganization at 36 months.
Also, as predicted, PALS facilitated shared reading practices for mothers of children born term as well as those born with very low birth weight (VLBW), and when there was a difference, it favored the mothers of children born VLBW.
Weighted - average correlation coefficients between equivalent pairs of SDQ and Child Behavior Checklist subscales11 from 9 parent - reported studies were uniformly strong and positive (range: 0.52 < r < 0.71).10 Several studies showed strong correlations between SDQ subscales and «real world» outcomes such as clinical diagnoses (criterion validity); SDQ scores identified school - aged children with concurrent behavioral and emotional disorders, including attention - deficit / hyperactivity disorder (ADHD) and autism spectrum disorder / Asperger syndrome (ASD / AS), and predicted their occurrence 3 years later.4, 12,13 However, multitrait - multimethod analyses have not provided consistently strong evidence of discriminant validity of the school - age SDQ subscales.
Child BMI SDS also significantly predicted parental concern for child weChild BMI SDS also significantly predicted parental concern for child wechild weight.
a b c d e f g h i j k l m n o p q r s t u v w x y z