Improvement of comparability of dietary intake assessment using currently available individual food consumption surveys.
about
The importance of harmonizing food composition data across Europe.Dietary exposure to flavouring substances: from screening methods to detailed assessments using food consumption data collected with EPIC-Soft software.Performance of the quantitative food frequency questionnaire used in the Brazilian center of the prospective study Natural History of Human Papillomavirus Infection in Men: The HIM Study.A comparative analysis of dietary intakes during pregnancy in Europe: a planned pooled analysis of birth cohort studies.Role of naturally-occurring plant sterols on intestinal cholesterol absorption and plasmatic levels.Overview of existing European food consumption databases: critical aspects in relation to their use for the assessment of dietary exposure to additives, flavourings and residues of food contact materials.Characterizing chronic and acute health risks of residues of veterinary drugs in food: latest methodological developments by the joint FAO/WHO expert committee on food additives.Development and evaluation of a self-administered computerized 24-h dietary recall method for adolescents in Europe.Effects of dietary assessment methods on assessing risk of nutrient intake adequacy at the population level: from theory to practice.Report on the development of a Food Classification and Description System for exposure assessment and guidance on its implementation and useDevelopment of a harmonized food grouping system for between-country comparisons in the TEDDY Study.Comparison of two dietary assessment methods by food consumption: results of the German National Nutrition Survey II.Two non-consecutive 24 h recalls using EPIC-Soft software are sufficiently valid for comparing protein and potassium intake between five European centres--results from the European Food Consumption Validation (EFCOVAL) study.Integration of probabilistic exposure assessment and probabilistic hazard characterization.
P2860
Q31115012-63D506C8-2B1F-47D9-9C81-9E00355A17C9Q33524439-FBB6D118-FC70-4DD2-A0CB-07259309C723Q36318968-44BF89D4-87CB-4E18-9DD9-5D42761F7AD1Q37091216-69DDC1A4-5A46-4CF0-BA1C-4ECA9B7C1A8EQ37545935-74327F1D-7D00-4F42-8E52-88D173210D5BQ37794171-51EDF5F4-6D07-4AF5-B3BF-49D0B792BF1CQ38686869-50047693-7CD2-4910-9AE1-9206C957F1D6Q44260150-7E52BCF2-B3A3-43F5-8878-05FB600FD517Q45006151-EC1B84FC-AE8F-4C3A-B35D-12CF1EFF48BBQ47151006-FF029548-93F4-4B10-A500-9964EE3EB742Q47449764-29654EB9-F668-4B81-908D-25A0A9ADE6F4Q50643717-84E37706-183E-4BA2-B40A-29077F026180Q51035981-EFAFF9E4-F392-4B8E-B941-EB12434590BFQ51914295-E465D5DA-BDC7-4457-B03B-F6144FFE2C31
P2860
Improvement of comparability of dietary intake assessment using currently available individual food consumption surveys.
description
2002 nî lūn-bûn
@nan
2002年の論文
@ja
2002年学术文章
@wuu
2002年学术文章
@zh
2002年学术文章
@zh-cn
2002年学术文章
@zh-hans
2002年学术文章
@zh-my
2002年学术文章
@zh-sg
2002年學術文章
@yue
2002年學術文章
@zh-hant
name
Improvement of comparability o ...... dual food consumption surveys.
@en
Improvement of comparability o ...... dual food consumption surveys.
@nl
type
label
Improvement of comparability o ...... dual food consumption surveys.
@en
Improvement of comparability o ...... dual food consumption surveys.
@nl
prefLabel
Improvement of comparability o ...... dual food consumption surveys.
@en
Improvement of comparability o ...... dual food consumption surveys.
@nl
P2093
P356
P1476
Improvement of comparability o ...... dual food consumption surveys.
@en
P2093
EFCOSUM Group
J A Abravicius
S De Henauw
P2888
P304
P356
10.1038/SJ.EJCN.1601425
P478
56 Suppl 2
P577
2002-05-01T00:00:00Z