Use of food frequency questionnaire to assess relationships between dietary habits and cardiovascular risk factors in NESCAV study: validation with biomarkers.
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Fruit and vegetables consumption and incident hypertension: dose-response meta-analysis of prospective cohort studies.Biochemical validation of the older Australian's food frequency questionnaire using carotenoids and vitamin E.Consumption of ready-made meals and increased risk of obesity: findings from the Observation of Cardiovascular Risk Factors in Luxembourg (ORISCAV-LUX) studyNo significant independent relationships with cardiometabolic biomarkers were detected in the Observation of Cardiovascular Risk Factors in Luxembourg study populationCardiovascular health: a cross-national comparison between the Maine Syracuse Study (Central New York, USA) and ORISCAV-LUX (Luxembourg).Association between nutritional awareness and diet quality: evidence from the observation of cardiovascular risk factors in Luxembourg (ORISCAV-LUX) study.Demographic and socioeconomic disparity in nutrition: application of a novel Correlated Component Regression approach.Diet Soft Drink Consumption is Associated with the Metabolic Syndrome: A Two Sample Comparison.Cross-comparison of diet quality indices for predicting chronic disease risk: findings from the Observation of Cardiovascular Risk Factors in Luxembourg (ORISCAV-LUX) study.Physical activity, sedentary behavior time and lipid levels in the Observation of Cardiovascular Risk Factors in Luxembourg study.Prevalence and Correlates of Vitamin D Deficiency and Insufficiency in Luxembourg Adults: Evidence from the Observation of Cardiovascular Risk Factors (ORISCAV-LUX) Study.Socioeconomic Impact on the Prevalence of Cardiovascular Risk Factors in Wallonia, Belgium: A Population-Based Study.Intake of Lutein-Rich Vegetables Is Associated with Higher Levels of Physical Activity.Association of Empirically Derived Dietary Patterns with Cardiovascular Risk Factors: A Comparison of PCA and RRR MethodsStability-based validation of dietary patterns obtained by cluster analysis.Validity of a food frequency questionnaire to estimate long-chain polyunsaturated fatty acid intake among Japanese women in early and late pregnancyRelative validity of a semi-quantitative, web-based FFQ used in the 'Snart Forældre' cohort - a Danish study of diet and fertility.Fruit and vegetable consumption and risk of cardiovascular disease: A meta-analysis of prospective cohort studies.Daily chocolate consumption is inversely associated with insulin resistance and liver enzymes in the Observation of Cardiovascular Risk Factors in Luxembourg study.Sodium and potassium intake estimated using two methods in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).Validity and Reproducibility of the Iodine Dietary Intake Questionnaire Assessment Conducted for Young Polish Women.Prevalence and related risk factors of chronic kidney disease among adults in Luxembourg: evidence from the observation of cardiovascular risk factors (ORISCAV-LUX) study.Development and Validation of the Brief Folate-Specific Food Frequency Questionnaire for Young Women's Diet Assessment.Low omega-3 index values and monounsaturated fatty acid levels in early pregnancy: an analysis of maternal erythrocytes fatty acids.European health examination surveys – a tool for collecting objective information about the health of the population.Application of a new dietary pattern analysis method in nutritional epidemiologyThe potential impact of animal protein intake on global and abdominal obesity: evidence from the Observation of Cardiovascular Risk Factors in Luxembourg (ORISCAV-LUX) study
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P2860
Use of food frequency questionnaire to assess relationships between dietary habits and cardiovascular risk factors in NESCAV study: validation with biomarkers.
description
2013 nî lūn-bûn
@nan
2013 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Use of food frequency question ...... y: validation with biomarkers.
@ast
Use of food frequency question ...... y: validation with biomarkers.
@en
Use of food frequency question ...... y: validation with biomarkers.
@nl
type
label
Use of food frequency question ...... y: validation with biomarkers.
@ast
Use of food frequency question ...... y: validation with biomarkers.
@en
Use of food frequency question ...... y: validation with biomarkers.
@nl
prefLabel
Use of food frequency question ...... y: validation with biomarkers.
@ast
Use of food frequency question ...... y: validation with biomarkers.
@en
Use of food frequency question ...... y: validation with biomarkers.
@nl
P2093
P2860
P921
P356
P1433
P1476
Use of food frequency question ...... dy: validation with biomarkers
@en
P2093
Adelin Albert
Michèle Guillaume
Nicolas Sauvageot
P2860
P2888
P356
10.1186/1475-2891-12-143
P577
2013-11-06T00:00:00Z
P5875
P6179
1004188989