hour recall
Daily calcium intake in male children and adolescents obtained from the rapid assessment method and the 24-hour recall method
5
Associations between active video gaming and other energy-balance related behaviours in adolescents: a 24-hour recall diary study
6
Low adherence to exclusive breastfeeding in Eastern Uganda: A community-based cross-sectional study comparing dietary recall since birth with 24-hour recall
12
Comparison of the NHANES dietary screener questionnaire to the Automated Self-Administered 24-Hour Recall for Children in the Healthy Communities Study
19
Evaluating the relationship between the 24-hour recall and food habits questionnaire methods for measuring dietary compliance
67
STUDY ON THE CONSUMPTION PATTERN OF JUNK FOOD AMONG UNIVERSITY STUDENTS
7
Dietary intake of Senegalese adults
5
Variability and Self-regulation of Energy Intake in Young Children in Their Everyday Environment
7
Study of Use of Products and Exposure-Related Behaviors (SUPERB): study design, methods, and demographic characteristics of cohorts
14
A famciclovir + celecoxib combination treatment is safe and efficacious in the treatment of fibromyalgia
10
Study On the Validity Of Instant Photography Method For Dietary Assessment In Undergraduate College Students
10
Determining the validity and reproducibility of a feeding assessment tool to assess complementary food group intake in New Zealand infants aged 9 12 months : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Science in Nutrition and Dietetics, Massey University, Albany, New Zealand
160
Carbohydrate consumption by children of different age groups.(From 24 hour diet recall).
72
Infant feeding modalities addressed in two different ways in Eastern Uganda
12
Determination of Vitamins A, C and D Status Using Serum Markers and a 24 Hour Dietary Recall among Maasai Women of Reproductive Age
7
Recall error and recall bias in life course epidemiology
22
Food sources of energy and nutrients in the diets of infants and toddlers in urban areas of China, based on one 24-hour dietary recall
15
Machine learning with sparse nutrition data to improve cardiovascular mortality risk prediction in the USA using nationally randomly sampled data
9
The Darkest Hour
178
0036-3634-spm-59-05-00512.pdf
6