Reprint

Assessment of Nutrient Intakes

Edited by
February 2017
478 pages
  • ISBN978-3-03842-288-4 (Hardback)
  • ISBN978-3-03842-289-1 (PDF)

This book is a reprint of the Special Issue Assessment of Nutrient Intakes that was published in

Medicine & Pharmacology
Public Health & Healthcare
Format
  • Hardback
License
© 2017 MDPI; under CC BY-NC-ND license
Keywords
dietary supplement; cod liver oil; socio-demographics; health; confounding; cardiovascular disease; validation; food frequency questionnaire; biomarkers; carotenoids; vitamin E; riboflavin intake; riboflavin status; urinary excretion; riboflavin supplements; Korean adults; diet quality index; validation; comparative validity; reproducibility; food frequency questionnaire; intra-class correlation coefficient; dietary methods; dietary pattern; principal component analysis; cognitive impairment; Australia; quercetin; onion; green tea; daily intake; Japanese; red leaf lettuce; asparagus; diet assessment validation; food frequency questionnaire; fruit vegetable intake; plasma carotenoids; pediatric; nutrition; micronutrient; deficiency; Europe; diet; supplements; public health; diet; adolescent; 24-h dietary recall; dietary assessment; 5-step multiple-pass method; nutrition surveys; public health surveillance; nutrition assessment; adult; anorexia nervosa; dietary intake; WWEIA; NHANES 2011–2012; ready-to-eat cereal (RTEC); fortification; micronutrient intakes; Estimated Average Requirements (EAR); Tolerable Upper Intake Levels (UL); adequate intake (AI); dietary assessment; 24-h dietary recall; nutrition assessment; folate; 1-carbon cycle; colorectal carcinogenesis.; overweight; obese; adolescent; dietary intervention; adherence; dietary intake; dietary assessment; dietary patterns; mobile food record; children; dietary assessment; Pacific Islanders; dairy product; casein; whey; cheese; biomarkers; compliance; diabetes; doubly labelled water; image-based dietary records; nutrition assessment; sustainable diet; healthy diet; dietary assessment; mobile food record; technology; dietary guidelines; nutritional assessment; type 2 diabetes; sugars; diet; predictive biomarker; urine; sucrose; fructose; measurement error; validation; calibration; mHealth; food record; image processing; pattern recognition; food image; pre-pregnancy; dietary intake; diet assessment; food frequency questionnaire; dietary behaviours; healthful eating indicators; structural equation modelling; cross sectional; dietary assessment; brief tools; food frequency questionnaires; validation study; aging; vegetable; brief instrument; validity; dietary assessment; dietary monitoring; daily-consumed nutrients distribution; comparison; ISU; NCI; MSM; SPADE; n/a