Comparison of telephone vs face-to-face interviews in the assessment of dietary intake by the 24 h recall EPIC SOFT program--the Norwegian calibration study.
about
Dietary energy density in relation to subsequent changes of weight and waist circumference in European men and women.Development and Evaluation of a Web-based Computer-Assisted Personal Interview System (CAPIS) for Open-ended Dietary Assessments among Koreans.Self efficacy for fruit, vegetable and water intakes: Expanded and abbreviated scales from item response modeling analyses.The ANIBES Study on Energy Balance in Spain: design, protocol and methodology.Improving the estimation of flavonoid intake for study of health outcomes.Bias in protein and potassium intake collected with 24-h recalls (EPIC-Soft) is rather comparable across European populations.Test-retest reliability of self-reported diabetes diagnosis in the Norwegian Women and Cancer Study: A population-based longitudinal study (n =33,919)Nutritional epidemiology: New perspectives for understanding the diet-disease relationship?Automated telephone communication systems for preventive healthcare and management of long-term conditions.Eating at restaurants, at work or at home. Is there a difference? A study among adults of 11 European countries in the context of the HECTOR* project.Eating out is different from eating at home among individuals who occasionally eat out. A cross-sectional study among middle-aged adults from eleven European countries.The standardized computerized 24-h dietary recall method EPIC-Soft adapted for pan-European dietary monitoring.Inventory of experiences from national/regional dietary monitoring surveys using EPIC-Soft.Meal patterns across ten European countries - results from the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study.Region-specific nutrient intake patterns exhibit a geographical gradient within and between European countries.Total dietary carbohydrate, sugar, starch and fibre intakes in the European Prospective Investigation into Cancer and Nutrition.Dietary polyphenol intake in Europe: the European Prospective Investigation into Cancer and Nutrition (EPIC) study.Energy intake and sources of energy intake in the European Prospective Investigation into Cancer and Nutrition.Alcohol consumption patterns, diet and body weight in 10 European countries.Dietary fat intake in the European Prospective Investigation into Cancer and Nutrition: results from the 24-h dietary recalls.Specific food group combinations explaining the variation in intakes of nutrients and other important food components in the European Prospective Investigation into Cancer and Nutrition: an application of the reduced rank regression method.Contribution of highly industrially processed foods to the nutrient intakes and patterns of middle-aged populations in the European Prospective Investigation into Cancer and Nutrition study.Dietary glycaemic index and glycaemic load in the European Prospective Investigation into Cancer and Nutrition.Dietary intakes of retinol, beta-carotene, vitamin D and vitamin E in the European Prospective Investigation into Cancer and Nutrition cohort.Dietary intake of the water-soluble vitamins B1, B2, B6, B12 and C in 10 countries in the European Prospective Investigation into Cancer and Nutrition.Estimation of the intake of anthocyanidins and their food sources in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.Intake estimation of total and individual flavan-3-ols, proanthocyanidins and theaflavins, their food sources and determinants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.Dietary intakes and food sources of phenolic acids in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.Salt and fluid restriction is effective in patients with chronic heart failure.Eating out, weight and weight gain. A cross-sectional and prospective analysis in the context of the EPIC-PANACEA study.Adapting a standardised international 24 h dietary recall methodology (GloboDiet software) for research and dietary surveillance in Korea.Effects of the dietary approaches to stop hypertension (DASH) diet on glucose variability in youth with Type 1 diabetes.Design aspects of 24 h recall assessments may affect the estimates of protein and potassium intake in dietary surveys.Ecological-level associations between highly processed food intakes and plasma phospholipid elaidic acid concentrations: results from a cross-sectional study within the European prospective investigation into cancer and nutrition (EPIC).Validation of energy intake by 24-hour multiple pass recall: comparison with total energy expenditure in children aged 5-7 years.Comparison of standardised dietary folate intake across ten countries participating in the European Prospective Investigation into Cancer and Nutrition.Coffee and Tea Consumption and the Contribution of Their Added Ingredients to Total Energy and Nutrient Intakes in 10 European Countries: Benchmark Data from the Late 1990s.Estimated dietary intakes of flavonols, flavanones and flavones in the European Prospective Investigation into Cancer and Nutrition (EPIC) 24 hour dietary recall cohortDietary acrylamide intake of adults in the European Prospective Investigation into Cancer and Nutrition differs greatly according to geographical regionDifferences in dietary intakes, food sources and determinants of total flavonoids between Mediterranean and non-Mediterranean countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study
P2860
Q33435376-73C4BD69-4886-45CD-84CB-D40B6C4E553BQ34054963-873B00BB-9640-4EF3-A080-77D831B106DFQ34997277-B5E5338C-F5EF-48F3-9B99-36507AB903A8Q35131336-CFC38F3D-0C8A-4C7C-8B0E-7B1DD103DDEAQ36089089-8E47A171-82C8-44E3-9F88-761B30C1969DQ36394358-0DADA008-A12F-4260-95AE-7AFE35D32604Q36495817-78AE811A-C1C8-440D-9466-828EBD72ECFAQ38084907-ABBD722E-A5F0-46E8-96BD-738ED76087BDQ38783403-09DFB25D-AAEF-42B0-8AB9-26B41F6E53D5Q39102615-F0D79CB4-853C-4FA9-932D-9F0C0F61EC8AQ39294673-36524D6D-6D61-4DEF-B1EE-05613616A671Q39728943-FC4B109E-E9A6-47E5-B9CD-91C590EE6A40Q39728948-D805336A-4F0B-40ED-8E0D-C92EC57A2BC4Q39755014-8712A97A-D28A-40DC-B631-0C8A2F81C8C2Q39871824-C80D32B5-A640-4E63-802E-9D888687D754Q39932552-B036C10D-E22B-433B-AE5B-52A34A62882EQ40829403-9DD6B0C1-CBB4-4D8A-A3B5-C0FB5D4C0AFBQ42462426-01490014-20CF-4D8E-BE93-0A2190D95D87Q43248930-366FBE33-FE32-49E8-872B-44C698911114Q43248931-676B8EED-B904-4B36-8FA1-0A73CBC60CAFQ43248933-0B5750CC-13CB-4C2D-810F-2AD9B49266A2Q43248939-B6930E4A-8E75-445D-98BF-64CC5EE95F5EQ43248940-C5E45F66-9ABE-486E-8417-355933E5A9FBQ43248942-AF25F75F-E6BC-4551-BE2B-34FC63330EE2Q43248943-7748A137-C734-40B6-9B27-B3643E89F43AQ43564706-E4181E5A-6888-4076-8FD3-5BE6C41137C6Q45036280-8192D0F4-1F08-4233-B3AB-6269C6948DCDQ45160574-A0894BB3-DF9B-4928-BDF8-A5A6712DF764Q46079913-87B74930-E47E-4586-981A-1D5FCCCDB2CDQ47422092-AF83C4DA-60BD-4A4F-8B7F-8B0A28ABDC00Q49097975-38391F9C-23C9-4FDB-859E-FF9632624D9EQ49837543-A23ABCD7-0F1F-4C11-ACD4-2E362B8C399DQ50768464-A431DC81-F863-455D-A340-DE8E9229E64BQ51171026-82FF2EAC-7712-4D93-AD43-A1E2884FF326Q51928709-85F2854A-8D18-425E-A5FF-21968B45B000Q53400122-A1012C9C-EBA3-443A-8451-3A30EFF9FE8DQ55515012-1F5AE542-00CB-4C5A-A2D3-529159479CB3Q57054155-1D740627-BC2E-4E5C-8671-9D1B25EFF6E3Q57271316-E357DBFF-8814-4B96-AC56-38641DB9EDDFQ57271318-B93BEF08-7806-47E6-9392-7948EC3F6AD1
P2860
Comparison of telephone vs face-to-face interviews in the assessment of dietary intake by the 24 h recall EPIC SOFT program--the Norwegian calibration study.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
2003年论文
@zh
2003年论文
@zh-cn
name
Comparison of telephone vs fac ...... e Norwegian calibration study.
@en
Comparison of telephone vs fac ...... e Norwegian calibration study.
@nl
type
label
Comparison of telephone vs fac ...... e Norwegian calibration study.
@en
Comparison of telephone vs fac ...... e Norwegian calibration study.
@nl
prefLabel
Comparison of telephone vs fac ...... e Norwegian calibration study.
@en
Comparison of telephone vs fac ...... e Norwegian calibration study.
@nl
P2093
P2860
P356
P1476
Comparison of telephone vs fac ...... e Norwegian calibration study.
@en
P2093
P2860
P2888
P304
P356
10.1038/SJ.EJCN.1601498
P577
2003-01-01T00:00:00Z
P5875
P6179
1017015361