12 research outputs found

    Dietary intake per day and Cardiometabolic traits of children by their dietary patterns.

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    <p>Plus-minus values are means ± SD.</p>*<p>There are significant difference among different patterns using GLM with p value <0.05, after adjustment for gender, age, by using general linear model factorial analysis, while, the school in study center was treated as a random effect variable.</p>abc<p>Values with different superscripts in the same row were significantly different by Duncan’s multiple range test at p<0.05.</p

    Prevalence and odds ratio (<i>OR</i>) of obesity and related cardiometabolic disorders according to dietary patterns.

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    <p>Model 1: Logistic regression random-effects model adjusted for gender and age;</p><p>Model 2: Logistic regression random-effects model adjusted for Model 1 variable and feeding types, birth weight, parents’ weight, parents’ educational level, average family income per month per capita and study center (school in center);</p><p>Model 3: Logistic regression random-effects model adjusted for Model 2 variable and total energy intake (kcal/d) and physical activity energy expenditure (quartile).</p

    Classification of subjects by cluster analysis using factor score.

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    <p>Plus-minus values are means ± SD.</p>*<p>p<0.05 by analysis variance.</p>abc<p>Values with different superscripts in the same row were significantly different by Duncan’s multiple range test at p<0.05.</p

    Hazard ratios for incidence of diabetes among men and women.

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    <p>Model 1: unadjusted. Model 2: adjusted for family history of diabetes, baseline age, marriage status, occupation, cigarette smoking, alcohol consumption, physical exercise, work strength, dietary intake and salt taste preference. Model 3: adjustments in model 2 plus baseline WC, RHR, BP, TC, TG, UA and FPG. Model 4: adjustments for risk factors in model 3 as time dependent variables.</p>*<p>Added BMI category in model 3 when accessing the association of educational level with incidence of diabetes.</p>†<p>Added educational level in model 2 when accessing the association of overweight and obesity with incidence of diabetes.</p

    Characteristics of the study groups at baseline in 2000, means ± SD, or N (%).

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    <p>Educational level differences were compared using chi-square test for categorical variables and ANOVA analysis for continuous variables.</p><p>Age, occupation, cigarette smoking, alcohol consumption, physical exercise, BMI, WC, RHR, BP, TC, TG, UA, and FPG were collected annually from 2000 to 2011.</p><p>Family history of diabetes, marriage status, and work strength were collected annually from 2000 to 2003.</p><p>Dietary intake and salt taste preference were collected in 2000 and 2003.</p
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