about
Why combine diet and physical activity in the same international research society?Nutritional Cognitive Neuroscience: Innovations for Healthy Brain AgingStable Isotope Ratios as Biomarkers of Diet for Health ResearchMetabolomics in the identification of biomarkers of dietary intakeApproaches to uncertainty in exposure assessment in environmental epidemiologyChecking for completeness of 24-h urine collection using para-amino benzoic acid not necessary in the Observing Protein and Energy Nutrition study.The impact of imprecisely measured covariates on estimating gene-environment interactions.Effect of dairy and non-dairy calcium on fecal fat excretion in lactose digester and maldigester obese adultsMeasuring exposure to the polyphenol metabolome in observational epidemiologic studies: current tools and applications and their limits.Reproducibility and validity of a food frequency questionnaire among pregnant women in a Mediterranean area.The impact of free or standardized lifestyle and urine sampling protocol on metabolome recognition accuracy.Omega-6 fatty acids and greater likelihood of suicide risk and major depression in early pregnancy.Increased fat-free body mass and no adverse effects on blood lipid concentrations 4 weeks after additional meat consumption in comparison with an exclusion of meat in the diet of young healthy women.Development and validation of a standardized protocol to monitor human dietary exposure by metabolite fingerprinting of urine samples.Stable nitrogen and carbon isotope ratios indicate traditional and market food intake in an indigenous circumpolar population.Chairman's introduction: what can we expect to learn from genomics?Assessment of the effect of high or low protein diet on the human urine metabolome as measured by NMR.Assessment of dietary exposure related to dietary GI and fibre intake in a nutritional metabolomic study of human urine.Alkylresorcinol metabolite concentrations in spot urine samples correlated with whole grain and cereal fiber intake but showed low to modest reproducibility over one to three years in U.S. women.Reproducibility and Validity of a Food Frequency Questionnaire Designed to Assess Diet in Children Aged 4-5 Years.Statistical issues arising in the Women's Health Initiative.Carbon and nitrogen stable isotope ratios predict intake of sweeteners in a Yup'ik study population.The carbon isotope ratio of alanine in red blood cells is a new candidate biomarker of sugar-sweetened beverage intakeUrinary Mineral Concentrations in European Pre-Adolescent Children and Their Association with Calcaneal Bone Quantitative Ultrasound Measurements.Application of a New Statistical Model for Measurement Error to the Evaluation of Dietary Self-report Instruments.Measurement of dietary exposure: a challenging problem which may be overcome thanks to metabolomics?Epidemiological study designs to investigate gene-behavior interactions in the context of human obesityHigh protein intake associates with cardiovascular events but not with loss of renal functionEffect of simple, targeted diet in pregnant women with metabolic risk factors on maternal and fetal outcomes (ESTEEM): study protocol for a pragmatic multicentre randomised trial.Relation between stable isotope ratios in human red blood cells and hair: implications for using the nitrogen isotope ratio of hair as a biomarker of eicosapentaenoic acid and docosahexaenoic acid.Meta-analysis of the association between dietary lycopene intake and ovarian cancer risk in postmenopausal womenPolyphenols and human health: a prospectus.Dietary intake and biological measurement of folate: a qualitative review of validation studies.The role of metabonomics as a tool for augmenting nutritional information in epidemiological studies.Metabolomic-based identification of clusters that reflect dietary patterns.The potential application of a biomarker approach for the investigation of low-calorie sweetener exposure.The role of metabolomics in determination of new dietary biomarkers.Metabolomics as a tool in the identification of dietary biomarkers.Use of biomarkers to assess fruit and vegetable intake.Estimation of Daily Sodium and Potassium Excretion Using Spot Urine and 24-Hour Urine Samples in a Black Population (Benin).
P2860
Q24802331-3FA621B1-C083-4505-AA35-7CA47104C616Q26745425-763FC923-A3D7-4DDE-989D-2F45D36336EBQ26830007-5AB16E79-B58E-4664-90CC-9360B4D95195Q27027213-1CD3913C-F4D0-4232-B70A-394A6F1DADF1Q28386700-32CD2B01-607F-484B-B8E0-F952CD6AFB77Q30486003-B58A9E77-6C0F-438E-8457-006FBE3DF564Q33242283-8851FF7C-9959-4EA4-89BB-E19B9AAC9F42Q33720591-6B5BC5BE-B69D-4114-99CF-CF1ABD4A88EFQ34087153-B908355F-BFD7-4290-AC55-B37E9D65CB64Q34328512-917D5FEA-CF45-4AA1-BD1F-A5860132D43AQ34534064-A5ACBA2A-9DD3-4097-981C-EE06C5BA3B69Q34553032-5B552F44-DA94-4DB9-BA97-63A64FB2CAD4Q35104683-8F154CD0-9BC2-4FA1-8C94-2C58CF13A541Q35349477-DE27ECD2-0506-4E30-AA0D-6B4F5757D6A5Q35611013-BA99B9AA-78F0-482E-9212-5EAC61BB70C0Q35740485-A92B4FD2-CE9B-4707-8A96-8E9D36E87BA5Q35813280-D07C6E34-F841-4A94-A0C2-6E9087F685F3Q35863388-897819B3-D660-46BC-808B-E2DB82A9DBACQ35892370-85614294-F07E-4E2C-BA01-F9545A130E66Q36206906-13C4CB73-B5FA-4AEF-AB9E-CB9FD225DB9CQ36364054-852A42AC-C356-44A3-992C-E46F41B0580CQ36525988-6FB4B5CF-8A6E-4DD3-9BEE-5489293D6805Q36840455-016B7FA4-9344-4F67-8A3C-9B5F19D9C1BAQ36937900-C3620116-83E7-476C-8715-54FAFA505E04Q36981651-074ADBE6-A4FB-48C9-AD26-A9D61644744EQ37213130-C6DF8C8D-D76A-45DA-A02C-2B1D4D6902FFQ37244215-D083F81D-6076-49A3-99E3-9DB00B73CD4EQ37297682-66F7C9ED-6582-4328-89A8-C7701133AD15Q37390381-1939A048-3F16-464F-BCD5-5555A8598149Q37421210-C6795F47-24A5-4A86-8CAD-745D0933FC62Q37738265-6BC8680A-9FA5-4624-A29C-EC74BAD75861Q37934984-ECEBA2E7-43BA-4DE2-AFD6-957CCB37AACDQ38052102-F446672F-0131-4575-8C33-669A699486AEQ38124828-CCBB73D1-86E2-46F1-A6B8-FD3FE8124D4CQ38674220-8C8E1433-DC09-49D0-959C-427CC55735C5Q38695466-8B2EEF58-51E7-4418-A8F3-EBC6F85EAFC3Q38770050-B6DEEE8B-6950-44A9-ADEF-602B93685E06Q38843495-330734AC-ED76-4114-A14D-B56AB85EC072Q39202903-43D90A43-DC72-45D9-A3ED-DDEECFE52317Q39256268-58AF23C2-FE5B-408E-A0CC-43197F5D9E24
P2860
description
2002 nî lūn-bûn
@nan
2002 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Biomarkers in nutritional epidemiology.
@ast
Biomarkers in nutritional epidemiology.
@en
type
label
Biomarkers in nutritional epidemiology.
@ast
Biomarkers in nutritional epidemiology.
@en
prefLabel
Biomarkers in nutritional epidemiology.
@ast
Biomarkers in nutritional epidemiology.
@en
P2860
P356
P1476
Biomarkers in nutritional epidemiology.
@en
P2093
Sheila A Bingham
P2860
P304
P356
10.1079/PHN2002368
P407
P577
2002-12-01T00:00:00Z