24 research outputs found

    Fixed effects regression coefficients (within family associations) for the effect of birth order on CVD risk factors.

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    <p><i>B</i>: Unstandardized regression coefficient; BMI, body mass index; DBP, diastolic blood pressure; SBP, systolic blood pressure; CI, 95% confidence interval.</p>*<p><i>P</i><0.05;</p>**<p><i>P</i><0.01;</p>***<p><i>P</i><0.001.</p><p>Model 3: Adjusted for birth year, conscription age and conscription centre.</p><p>Model 4: Additionally adjusted for maternal age.</p><p>Model 5: Model 4 additionally adjusted for height.</p><p>Model 6: Model 4 additionally adjusted for BMI.</p

    Regression coefficients for the effect of birth order on CVD risk factors with first-born as reference category.

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    <p><i>B</i>: Unstandardized regression coefficient; BMI, body mass index; DBP, diastolic blood pressure; SBP, systolic blood pressure; C, 95% confidence interval.</p>*<p><i>P</i><0.05;</p>**<p><i>P</i><0.01;</p>***<p><i>P</i><0.001.</p><p>Model 1: Adjusted for birth year, conscription age and conscription centre.</p><p>Model 2: Additionally adjusted for maternal age, fatheŕs and motheŕs social position and education.</p

    Subjects characteristics according to birth order.

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    <p>Mean values and (standard deviations).</p><p>BMI, body mass index; DBP, diastolic blood pressure; SBP, systolic blood pressure; SD, standard deviation.</p

    Associations of gestational weight gain with offspring diastolic blood pressure, non-stratified and stratified by mother’s early-pregnancy body mass index, using fixed effects regression model.

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    <p>Abbreviations: CI, confidence interval; BMI, body mass index.</p><p><sup>a</sup> Model 1 was adjusted for maternal age at birth, birth year and gestational age. Model 2 was adjusted as for model 1 plus early-pregnancy BMI, maternal education and parity. Model 3 was adjusted as for model 2 plus offspring’s age of conscription and conscription center.</p><p><sup>b</sup> Difference in offspring SBP in mmHg per 1-kg difference in gestational weight gain.</p><p><sup>c</sup> Difference in offspring SBP in mmHg per 1-kg greater gestational weight gain.</p><p><sup>d</sup> P-value to test whether the within and between effects differ, obtained by a Wald test.</p><p>Associations of gestational weight gain with offspring diastolic blood pressure, non-stratified and stratified by mother’s early-pregnancy body mass index, using fixed effects regression model.</p

    Associations of differences in maternal gestational weight gain with increased risk of hypertension in the offspring at 18 years, using fixed effects regression model (N = 9,816).

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    <p>Abbreviations: RR, relative risk; CI, confidence interval.</p><p><sup>a</sup> Model 1 was adjusted for maternal age at birth, birth year and gestational age. Model 2 was adjusted as for model 1 plus early-pregnancy BMI, maternal education and parity. Model 3 was adjusted as for model 2 plus offspring’s age of conscription and conscription center.</p><p><sup>b</sup> Relative risk of hypertension in the offspring per 1-kg difference in gestational weight gain.</p><p><sup>c</sup> Relative risk of hypertension in the offspring per 1-kg greater gestational weight gain.</p><p><sup>d</sup> P-value to test whether the within and between effects differ, obtained by a Wald test.</p><p>Associations of differences in maternal gestational weight gain with increased risk of hypertension in the offspring at 18 years, using fixed effects regression model (N = 9,816).</p

    Additional file 1 of Undiagnosed type 2 diabetes is common – intensified screening of established risk groups is imperative in Sweden: the SDPP cohort

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    Additional file 1: Table S1. Baseline characteristics* of individuals with diagnosed and undiagnosed T2D during the study. Table S2. Association between belonging to a two-factor risk group* and having T2D, undiagnosed T2D, or diagnosed T2D, compared with normoglycemia. Table S3. The proportion of diagnosed T2D and the proportion of undiagnosed T2D in sensitivity analyses. Table S4. Odds ratios for diagnosed T2D compared to undiagnosed T2D using the 789 complete cases for different risk factors at the beginning of the period. Table S5. Baseline characteristics of participants that participated in period 1, period 2 and those lost to follow-up after period 1
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