13 research outputs found

    Characteristics of study participants included in the analysis (n = 1,287) by country of birth.

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    *<p>p-value from global F-Test (ANOVA) for continuous variables, chi-square test for categorical variables.</p>**<p>Scheffé test: Gestational weight gain differs between Turkey and Eastern Europe (p<0.05).</p><p>Birth height differs between Eastern Europe and Other (p<0.05).</p><p>Age of mother at birth different for all migrant groups compared to Germans (p<0.05).</p

    Linear regression effect estimates (β) for influence of migrant background on infant weight gain (weight z-score) during first six months of life, adjusted for covariates (n = 1,031).

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    <p>Linear regression effect estimates (β) for influence of migrant background on infant weight gain (weight z-score) during first six months of life, adjusted for covariates (n = 1,031).</p

    Odds ratios (and 95% CI) for influence of migrant background and parental socioeconomic status on rapid weight gain between birth and six months of life, adjusted for covariates (n = 1,009).

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    <p>Odds ratios (and 95% CI) for influence of migrant background and parental socioeconomic status on rapid weight gain between birth and six months of life, adjusted for covariates (n = 1,009).</p

    Adjusted mean weight z-scores and 95% CIs according to migrant background and SES.

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    <p>(mean weight z-score adjusted for birth weight, gestational age, parental height, smoking during pregnancy, duration of exclusive breastfeeding).</p

    Linear regression effect estimates (β) for influence of migrant background and parental socioeconomic status on infant weight gain (weight z-score) during first six months of life, adjusted for covariates (n = 1,009).

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    <p>Linear regression effect estimates (β) for influence of migrant background and parental socioeconomic status on infant weight gain (weight z-score) during first six months of life, adjusted for covariates (n = 1,009).</p

    Distribution of SI values at different ages, stratified for genotypes and sex.

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    <p>SI values and their 95% confidence intervals at different ages for homozygotes of both <i>NMU</i> rs6827359 and <i>ADRB2</i> rs1042713 risk alleles (CC+GG, dark grey) and homozygotes for non-risk alleles (TT+AA, light gray) in subgroups of boys (panel A, n = 620, carriers of CC+GG = 101) and girls (panel B, n = 572, carriers of CC+GG = 85). Graph was obtained using SAS software (PROC SGPLOT with LOESS statement, see text). Local regression method implies that statistical power decreases at extreme <i>x</i> values (larger confidence intervals).</p
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