10 research outputs found

    Simple regression of outcome variables on dietary phytosterol intake.

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    <p>Results are R-squares of simple ordinary least square regression analysis (n = 94 observations), all <i>P</i> < 0.0001.</p><p>Simple regression of outcome variables on dietary phytosterol intake.</p

    Simple regression of outcome variables on dietary phytosterol intake.

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    <p>Results are R-squares of simple ordinary least square regression analysis (n = 94 observations), all <i>P</i> < 0.0001.</p><p>Simple regression of outcome variables on dietary phytosterol intake.</p

    Correlations between plasma non-cholesterol sterol concentrations at each dietary phytosterol intake level.

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    <p>Values reflect Spearman’s rank-order correlation coefficients in the Supplement Study (A) and the Natural Study (B).</p

    Observed dietary phytosterol intake (DPI) (A, Supplement Study; B, Natural Study).

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    <p>*significantly different from 50 mg/2000 Kcal, <i>P</i> < 0.01; **significantly different from 50 mg/2000 Kcal or 450 mg/2000 Kcal (A), or from 126 mg/2000 Kcal (B), <i>P</i> < 0.0001.</p

    Observed dietary phytosterol intake (DPI) (A, Supplement Study; B, Natural Study).

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    <p>*significantly different from 50 mg/2000 Kcal, <i>P</i> < 0.01; **significantly different from 50 mg/2000 Kcal or 450 mg/2000 Kcal (A), or from 126 mg/2000 Kcal (B), <i>P</i> < 0.0001.</p

    Regression of plasma phytosterol levels normalized by 5-α-cholestanol on dietary phytosterol intake (DPI).

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    <p>All values were transformed to natural log. Dotted lines represent 95% prediction limits of Ln(Campesterol/5-α-cholestanol) (A) and Ln(Total phytosterols/5-α-cholestanol) (B).</p

    Aerobic Fitness and FITNESSGRAM Classification of Urban School Students by Grade Level, Age ≥ 9.0 years.

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    <p><sup>a</sup>1-mile run time and ⩒O<sub>2</sub>max are reported as mean (SD).</p><p><sup>b</sup><i>n</i> = 766 for ⩒O<sub>2</sub>max because maximal oxygen consumption cannot be calculated for 1-mile run times > 13.0 minutes.</p><p><sup>c</sup> FITNESSGRAM criterion-referenced fitness standards [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0138175#pone.0138175.ref010" target="_blank">10</a>], reported as % of population for each grade level designation. Students with 1-mile run times > 13.0 minutes were included in the <i>Needs Improvement-High Risk</i> category.</p><p>Aerobic Fitness and FITNESSGRAM Classification of Urban School Students by Grade Level, Age ≥ 9.0 years.</p

    Aerobic Fitness Results from The President’s Challenge 1-mile Endurance Run.

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    <p>Performance level national standards were used to classify fitness of urban school students. Percentage of the population at each grade level (elementary, middle, and high school) is shown. The 85<sup>th</sup> and 50<sup>th</sup> percentiles are benchmarks for Presidential awards.</p

    Body Mass Index and BMI-for-age Percentiles of Urban Female and Male Students.

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    <p>Body mass index (BMI) for female students (A) and male students (B) depicted on BMI-for-age percentile growth charts [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0138175#pone.0138175.ref014" target="_blank">14</a>]. Each symbol represents one student’s BMI (N = 4673). Severe obesity was defined as class 2 obesity (≥ 120% of the 95<sup>th</sup> percentile of BMI-for-age) or class 3 obesity (≥ 140% of the 95<sup>th</sup> percentile) [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0138175#pone.0138175.ref002" target="_blank">2</a>].</p
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