7 research outputs found

    Association between body fat composition measures and anthropometry by sex in MESA.

    No full text
    <p>Regression equation for body fat composition by anthropometry and sex: Ln body fat composition = β0<sub>1</sub> + β0<sub>2</sub>(sex) + β1(X) + β2(X<sup>2</sup>) + β3(sex*X). Intercept = β0<sub>1</sub> + β0<sub>2</sub>, Linear = β1 <b>+</b> β3, Quadratic = β2, P-value for difference by sex = p-value for β3. Centering: height—160cm, weight—50kg, BMI—20 kg/m<sup>2</sup>, waist—100cm, hip—100cm, waist to hip—0.7, waist to height—0.4.</p><p>Association between body fat composition measures and anthropometry by sex in MESA.</p

    Characteristics (Mean (SD) or Percentile) of 1851 Adults<sup>a</sup> Aged 45–84 in the MESA Body Composition Ancillary Study by Body Composition Quartile<sup>b</sup>.

    No full text
    <p>a. Participants on Thiazolidinediones and observations with Cook's Distance >0.025 excluded.</p><p>b. Quartile cutoffs are equivalent to 97.7, 138.2, 193.6 cm<sup>2</sup> visceral fat170.7, 235.1, 311.1 cm<sup>2</sup> subcutaneous fat on the original scale</p><p>c. Diabetes diagnosed as ≥126 mg/dl fasting glucose</p><p>Characteristics (Mean (SD) or Percentile) of 1851 Adults<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0139559#t001fn001" target="_blank"><sup>a</sup></a> Aged 45–84 in the MESA Body Composition Ancillary Study by Body Composition Quartile<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0139559#t001fn002" target="_blank"><sup>b</sup></a>.</p

    Association Between Body Fat Composition Measures and Anthropometry by Race/Ethnicity in MESA.

    No full text
    <p>Regression equation for body fat composition by anthropometry and race/ethnicity: Ln body fat composition = β0<sub>1</sub> + β0<sub>2</sub>(race) + β1(X) + β2(X<sup>2</sup>) + β3(race*X). Intercept = β0<sub>1</sub> + β0<sub>2</sub>, Linear = β1 <b>+</b> β3, Quadratic = β2, P-value for difference by race = <i>P</i>-value for overall F-test. Centering: height—160cm, weight—50kg, BMI—20 kg/m<sup>2</sup>, waist—100cm, hip—100cm, waist to hip—0.7, waist to height—0.4.</p><p>Association Between Body Fat Composition Measures and Anthropometry by Race/Ethnicity in MESA.</p

    Effect of medication combinations on percent differences and 95% confidence intervals in serum lactate level.

    No full text
    <p>Effect of medication combinations on percent differences and 95% confidence intervals in serum lactate level (mg/dl) among persons with type 2 diabetes in the ARIC Carotid MRI Study. All comparisons based on a model containing age, sex, race, education, sport and leisure activity, and body mass index. Diabetes medication use was constructed as a factor variable with mutually exclusive groups representing each medication separately and in combination. All groups are compared to no diabetes medication use. Not all combinations are shown.</p

    Characteristics of 493 Adults Aged 61–84 With Type 2 Diabetes in the ARIC Carotid MRI Study by Diabetes Medication Use.

    No full text
    <p>Bolded values indicate p-values<0.05 for the t-test of the difference for Yes – No.</p><p>All estimates are survey weighted mean (SE) except where indicated as % (SE). SE = linearized standard error.</p>a<p>. Geometric mean and 95% confidence interval for blood lactate (mg/dl).</p

    Adjusted percent differences in plasma lactate in the ARIC Carotid MRI Study.

    No full text
    <p>Adjusted differences in plasma lactate (vs non-users of diabetes medications) in users of thiazolidinediones, Insulin, Sulfonylureas, and Metformin in those with type 2 diabetes in the ARIC Carotid MRI Study: Percent differences and 95% confidence intervals. Adjusted for age, sex, race, and education, sport and leisure activity, and body mass index.</p
    corecore