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

<p>Regression equation for body fat composition by anthropometry and sex: Ln body fat composition = β0₁ + β0₂(sex) + β1(X) + β2(X²) + β3(sex*X). Intercept = β0₁ + β0₂, 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/m², 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

Lowess of Visceral Fat and Subcutaneous Fat by Sex in 1851 Adults in the MESA Body Composition ancillary Study.

<p>Lowess of Visceral Fat and Subcutaneous Fat by Sex in 1851 Adults in the MESA Body Composition ancillary Study.</p

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

<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 cm² visceral fat170.7, 235.1, 311.1 cm² 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">^a</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">^b</a>.</p

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

<p>Regression equation for body fat composition by anthropometry and race/ethnicity: Ln body fat composition = β0₁ + β0₂(race) + β1(X) + β2(X²) + β3(race*X). Intercept = β0₁ + β0₂, 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/m², 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

Inventory on the dietary assessment tools available and needed in africa: a prerequisite for setting up a common methodological research infrastructure for nutritional surveillance, research, and prevention of diet-related non-communicable diseases

<p><i>Objective:</i> To carry out an inventory on the availability, challenges, and needs of dietary assessment (DA) methods in Africa as a pre-requisite to provide evidence, and set directions (strategies) for implementing common dietary methods and support web-research infrastructure across countries. <i>Methods:</i> The inventory was performed within the framework of the “Africa's Study on Physical Activity and Dietary Assessment Methods” (AS-PADAM) project. It involves international institutional and African networks. An inventory questionnaire was developed and disseminated through the networks. Eighteen countries responded to the dietary inventory questionnaire. <i>Results:</i> Various DA tools were reported in Africa; 24-Hour Dietary Recall and Food Frequency Questionnaire were the most commonly used tools. Few tools were validated and tested for reliability. Face-to-face interview was the common method of administration. No computerized software or other new (web) technologies were reported. No tools were standardized across countries. <i>Conclusions:</i> The lack of comparable DA methods across represented countries is a major obstacle to implement comprehensive and joint nutrition-related programmes for surveillance, programme evaluation, research, and prevention. There is a need to develop new or adapt existing DA methods across countries by employing related research infrastructure that has been validated and standardized in other settings, with the view to standardizing methods for wider use.</p