<p>Consumption of foods from each colour (% energy intake) and sociodemographic, lifestyle and anthropometric characteristics across identified clusters (N = 95942).</p
Economic growth in developing countries and globalization of the food sector is leading to increasin...
Purpose: Degrees of nutrient intake and food groups have been linked to differential chronic disease...
Scope: Classification of subjects into dietary patterns generally relies on self-reporting dietary d...
a<p>All p-values were <0.0001.</p>b<p>MTL, multiple traffic lights.</p>c<p>PNNS, French Nutrition an...
<p>Total polyphenol intake and energy adjusted polyphenol intake according to sociodemographic and l...
<p>Characteristics cross-sectional studies assessing associations between frequency of RTEC consumpt...
OBJECTIVE: This study explored the usefulness of cluster analysis in identifying food choice pattern...
<p>B, Bandung; S, Sumedang; A, adult; C, child; M, male; F, female. Bars indicate median values and ...
OBJECTIVE: To explore the utility of cluster analysis in defining complex dietary exposures, separat...
Objectives: To identify food sources of fat, to compare food and nutrient intakes at different level...
<p>Association between energy intake pattern and individual characteristics including education and ...
Fruit and nut intake in the study population, according to their preferences (% of participants repo...
OBJECTIVE: Examine how meal patterns are associated with nutrient intakes, lifestyle and socioeconom...
*<p>Dietary intake estimated from 3-day food records; dietary carbohydrate, protein, and fat are des...
Association between participants’ sociodemographic characteristics and dietary patterns.</p
Economic growth in developing countries and globalization of the food sector is leading to increasin...
Purpose: Degrees of nutrient intake and food groups have been linked to differential chronic disease...
Scope: Classification of subjects into dietary patterns generally relies on self-reporting dietary d...
a<p>All p-values were <0.0001.</p>b<p>MTL, multiple traffic lights.</p>c<p>PNNS, French Nutrition an...
<p>Total polyphenol intake and energy adjusted polyphenol intake according to sociodemographic and l...
<p>Characteristics cross-sectional studies assessing associations between frequency of RTEC consumpt...
OBJECTIVE: This study explored the usefulness of cluster analysis in identifying food choice pattern...
<p>B, Bandung; S, Sumedang; A, adult; C, child; M, male; F, female. Bars indicate median values and ...
OBJECTIVE: To explore the utility of cluster analysis in defining complex dietary exposures, separat...
Objectives: To identify food sources of fat, to compare food and nutrient intakes at different level...
<p>Association between energy intake pattern and individual characteristics including education and ...
Fruit and nut intake in the study population, according to their preferences (% of participants repo...
OBJECTIVE: Examine how meal patterns are associated with nutrient intakes, lifestyle and socioeconom...
*<p>Dietary intake estimated from 3-day food records; dietary carbohydrate, protein, and fat are des...
Association between participants’ sociodemographic characteristics and dietary patterns.</p
Economic growth in developing countries and globalization of the food sector is leading to increasin...
Purpose: Degrees of nutrient intake and food groups have been linked to differential chronic disease...
Scope: Classification of subjects into dietary patterns generally relies on self-reporting dietary d...