Pages that link to "Q35085708"
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The following pages link to Biomarkers in nutritional epidemiology (Q35085708):
Displaying 50 items.
- Why combine diet and physical activity in the same international research society? (Q24802331) (← links)
- Nutritional Cognitive Neuroscience: Innovations for Healthy Brain Aging (Q26745425) (← links)
- Stable Isotope Ratios as Biomarkers of Diet for Health Research (Q26830007) (← links)
- Metabolomics in the identification of biomarkers of dietary intake (Q27027213) (← links)
- Approaches to uncertainty in exposure assessment in environmental epidemiology (Q28386700) (← links)
- Use of the Predictive Sugars Biomarker to Evaluate Self-Reported Total Sugars Intake in the Observing Protein and Energy Nutrition (OPEN) Study (Q30484818) (← links)
- Checking for completeness of 24-h urine collection using para-amino benzoic acid not necessary in the Observing Protein and Energy Nutrition study (Q30486003) (← links)
- The impact of imprecisely measured covariates on estimating gene-environment interactions (Q33242283) (← links)
- Effect of dairy and non-dairy calcium on fecal fat excretion in lactose digester and maldigester obese adults (Q33720591) (← links)
- Measuring exposure to the polyphenol metabolome in observational epidemiologic studies: current tools and applications and their limits (Q34087153) (← links)
- Diet and cancer--the European Prospective Investigation into Cancer and Nutrition. (Q34302396) (← links)
- Reproducibility and validity of a food frequency questionnaire among pregnant women in a Mediterranean area. (Q34328512) (← links)
- The impact of free or standardized lifestyle and urine sampling protocol on metabolome recognition accuracy (Q34534064) (← links)
- Omega-6 fatty acids and greater likelihood of suicide risk and major depression in early pregnancy (Q34553032) (← links)
- Diet and breast cancer: a review of the prospective observational studies (Q34628405) (← links)
- Twenty-four-hour urinary thiamine as a biomarker for the assessment of thiamine intake (Q34654259) (← links)
- 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 (Q35104683) (← links)
- Development and validation of a standardized protocol to monitor human dietary exposure by metabolite fingerprinting of urine samples (Q35349477) (← links)
- Stable nitrogen and carbon isotope ratios indicate traditional and market food intake in an indigenous circumpolar population (Q35611013) (← links)
- Chairman's introduction: what can we expect to learn from genomics? (Q35740485) (← links)
- Assessment of the effect of high or low protein diet on the human urine metabolome as measured by NMR. (Q35813280) (← links)
- Assessment of dietary exposure related to dietary GI and fibre intake in a nutritional metabolomic study of human urine (Q35863388) (← links)
- 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 (Q35892370) (← links)
- Reproducibility and Validity of a Food Frequency Questionnaire Designed to Assess Diet in Children Aged 4-5 Years. (Q36206906) (← links)
- Statistical issues arising in the Women's Health Initiative (Q36364054) (← links)
- Carbon and nitrogen stable isotope ratios predict intake of sweeteners in a Yup'ik study population (Q36525988) (← links)
- The carbon isotope ratio of alanine in red blood cells is a new candidate biomarker of sugar-sweetened beverage intake (Q36840455) (← links)
- Urinary Mineral Concentrations in European Pre-Adolescent Children and Their Association with Calcaneal Bone Quantitative Ultrasound Measurements (Q36937900) (← links)
- Application of a New Statistical Model for Measurement Error to the Evaluation of Dietary Self-report Instruments (Q36981651) (← links)
- Measurement of dietary exposure: a challenging problem which may be overcome thanks to metabolomics? (Q37213130) (← links)
- Epidemiological study designs to investigate gene-behavior interactions in the context of human obesity (Q37244215) (← links)
- High protein intake associates with cardiovascular events but not with loss of renal function (Q37297682) (← links)
- Effect 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 (Q37390381) (← links)
- 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 (Q37421210) (← links)
- Biomarkers in nutritional epidemiology: applications, needs and new horizons (Q37439416) (← links)
- Meta-analysis of the association between dietary lycopene intake and ovarian cancer risk in postmenopausal women (Q37738265) (← links)
- Polyphenols and human health: a prospectus. (Q37934984) (← links)
- Dietary intake and biological measurement of folate: a qualitative review of validation studies (Q38052102) (← links)
- The role of metabonomics as a tool for augmenting nutritional information in epidemiological studies. (Q38124828) (← links)
- Metabolomic-based identification of clusters that reflect dietary patterns (Q38674220) (← links)
- The potential application of a biomarker approach for the investigation of low-calorie sweetener exposure. (Q38695466) (← links)
- The role of metabolomics in determination of new dietary biomarkers (Q38770050) (← links)
- Metabolomics as a tool in the identification of dietary biomarkers (Q38843495) (← links)
- Use of biomarkers to assess fruit and vegetable intake. (Q39202903) (← links)
- Estimation of Daily Sodium and Potassium Excretion Using Spot Urine and 24-Hour Urine Samples in a Black Population (Benin). (Q39256268) (← links)
- Questionnaire-based self-reported nutrition habits associate with serum metabolism as revealed by quantitative targeted metabolomics (Q39811810) (← links)
- Sodium and potassium intake estimated using two methods in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). (Q40114839) (← links)
- Biomarker-predicted sugars intake compared with self-reported measures in US Hispanics/Latinos: results from the HCHS/SOL SOLNAS study (Q40684462) (← links)
- Combining vitamin C and carotenoid biomarkers better predicts fruit and vegetable intake than individual biomarkers in dietary intervention studies. (Q40829394) (← links)
- Validation of a Web-based, self-administered, non-consecutive-day dietary record tool against urinary biomarkers (Q41221279) (← links)