8 research outputs found
Mean differences (95% confidence intervals, CI) in birth size as predicted by the additive effects of social Adversity and at least one risk allele (<i>CCNL1/LEKR1</i>- rs900400).
*<p><i>n</i> in the adjusted model,</p>**<p>controlling for gestational age, maternal smoking, maternal alcohol consumption, parity, maternal pre-pregnancy BMI, sex, gestational diabetes and hypertension during pregnancy.</p
Mean differences (95% confidence intervals, CI) in birth size as predicted by the additive effects of neighborhood social disparity and at least one risk allele (<i>CCNL1/LEKR1</i>- rs900400).
*<p><i>n</i> in the adjusted model,</p>**<p>controlling for gestational age, maternal smoking, maternal alcohol consumption, parity, maternal pre-pregnancy BMI, sex, gestational diabetes and hypertension during pregnancy.</p
Multiple Linear Regression Analysis (GLM) of the association between social adversity and birth size [birth weight (g), length (cm), head circumference (cm) and ponderal index] in the whole NFBC86 Cohort (<i>n</i> = 9135) and stratified by sex.
*<p><i>n</i> in the adjusted model.</p>**<p>Adjusting for gestational age, maternal smoking, maternal alcohol consumption, parity, maternal pre-pregnancy BMI, gestational diabetes and hypertension during pregnancy. <b><sup>r</sup></b> Additionally adjusting for sex.</p
Multiple Linear Regression Analysis (GLM) of the association between neighborhood social disparity and birth size [birth weight (g), length (cm), head circumference (cm) and ponderal index] in the whole NFBC86 Cohort (<i>n</i> = 9135) and stratified by sex.
*<p><i>n</i> in the adjusted model.</p>**<p>Adjusting for gestational age, maternal smoking, maternal alcohol consumption, parity, maternal pre-pregnancy BMI, gestational diabetes and hypertension during pregnancy. <b><sup>r</sup></b> dditionally adjusting for sex. Neighborhood social disparity = living in an environment different to individual SES.</p
Characteristics of the NFBC1986 cohort.
<p>Data are given as MEAN (range) or as N (percentage).</p
Risk threshold and predictive properties corresponding to the 75° percentile of calculated risk for the obesity phenotypes in the NFBC1986.
<p>Risk threshold and predictive properties corresponding to the 75° percentile of calculated risk for the obesity phenotypes in the NFBC1986.</p
Estimates of risk percentages for childhood obesity for given pairs of parental BMIs according to the NFBC1986 equation.
<p>Estimates are provided for three different combinations of birth weight, maternal professional category, number of household members and maternal gestational smoking, corresponding to three progressively higher risk backgrounds. Grey cells correspond to risk estimates within the highest risk quartile in the overall population.</p
Stepwise multiple logistic models for prediction of obesity phenotypes: ORs and p values associated with predictors, AUROC and P of Hosmer-Lemeshow test in the final models (bold characters) and AUROCs and P of Hosmer-Lemeshow of each step (italic characters).
<p>Stepwise multiple logistic models for prediction of obesity phenotypes: ORs and p values associated with predictors, AUROC and P of Hosmer-Lemeshow test in the final models (bold characters) and AUROCs and P of Hosmer-Lemeshow of each step (italic characters).</p