47 research outputs found

    Study sample.

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    <p>MESA = Multi- Ethnic Study of Atherosclerosis; MRI = magnetic resonance imaging; RV = right ventricle.</p

    Associations between mammographic measures (per standard deviation difference) and risk of mortality.

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    <p><sup>a</sup> Model 1 unadjusted; <sup>b</sup> Model 2 age-adjusted; <sup>c</sup> Model 3 adjusted for age, education, race, smoking history, type of mammogram (xerogram versus x-ray), diabetes and heart disease. <sup>d</sup> Model 4 adjusted for Model 2 covariates plus body mass index. P value from Wald statistic. All statistical tests were two-sided. Abbreviations-CI: confidence interval, HR: hazard ratio.</p

    Associations between percentiles of mammographic measures and risk of mortality.

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    <p><sup>a</sup> Model 1 unadjusted; <sup>b</sup> Model 2 age-adjusted; <sup>c</sup> Model 3 adjusted for age, education, race, smoking history, type of mammogram (xerogram versus x-ray), diabetes and heart disease. <sup>d</sup> Model 4 adjusted for Model 2 covariates plus body mass index. P value from Wald statistic to test for an overall effect of categories of mammographic measures. All statistical tests were two-sided. Abbreviations-CI: confidence interval, HR: hazard ratio.</p

    Characteristics of the overall analytical sample and by percentiles of nondense mammographic area.

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    <p>Comparisons between groups from ANOVA for continuous variables and Chi-Square test for categorical variables. P value from Wald statistic to test for an overall effect across percentiles of nondense mammographic area. <sup>a</sup> Log-transformed cm<sup>2</sup>, <sup>b</sup> Square root-transformed cm<sup>2</sup> and percent. Abbreviations-BMI: body mass index, IQR: interquartile range</p

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

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    <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>.

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    <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
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