Introduction to 24 H Dietary

A 24 h dietary recall of vegetable consumption was conducted for mothers and their children.

Dietary patterns in pregnancy were identified using factor analysis of data from three consecutive 24 h dietary recalls.

Five hundred Lebanese participants (the previous 50 who provided the 24 h dietary recall, along with 450 new participants) completed the questionnaire, whereas only 50 and 42 were accepted to be enrolled in the validity and reproducibility studies, respectively.

Objective The present paper aimed to demonstrate how 24 h dietary recall data can be used to generate a nutrition-relevant food list for household consumption and expenditure surveys (HCES) using contribution analysis and stepwise regression.

We obtained dietary n3 and n6 fatty acids data through two 24 h dietary recall interviews and n3, n6 fatty acids intake were adjusted by weight.

, eating habits, taste preferences) by using within-individual variations in beef consumption between 2 nonconsecutive 24 h dietary recalls.

Intakes of total fat and fatty acids were estimated from 24 h dietary recalls by sex and age groups.

Thus, 24 h dietary recalls were conducted and analyzed for dietary intakes in this population (n = 202).

Children completed three 24 h dietary recalls to determine nutrient inadequacies.

Assessment of fermented food and Na consumption was conducted via analysis of 24 h dietary recall data.

DESIGN 24 h Dietary recall data were used.

The semi-quantitative food frequency questionnaire and one time of 24 h dietary recall were used to access the food intake, identify dietary pattern, and calculate the nutrients intake.

Participants completed a dietary behaviour questionnaire and a 24 h dietary intake recall; anthropometry, blood pressure, total cholesterol and HDL-cholesterol and HbA1c were measured.

ParticipantsOne 24 h dietary recall was used to assess dietary intake of 3156 adolescents aged 10-19 years.

At each of the three study waves, 17 micronutrients from two 24 h dietary recalls were used to calculate MAR.

We analyzed data from the participants aged 60-year-old and more (n = 16,612) living at home, who provided dietary data on three days 24 h dietary survey combining with the household weighing method.

Diet quality was examined using the Mediterranean Diet Score (MDS), using data from a single 24 h dietary recall.

Nutritional intake was quantified on training days using the Automated 24 h Dietary Assessment Tool (ASA24-Australia), and sports nutrition knowledge was measured by the 88-item Sports Nutrition Knowledge Questionnaire (SNKQ).

Dietary intake was obtained with 24 h dietary recalls, an FFQ and a Food Choices and Preferences questionnaire.

Seven-day food consumption and 24 h dietary recalls were administered at household and individual level, respectively.

Data were collected using the Fracture Risk Assessment Tool® by World Health Organisation, International Physical Activity Questionnaire, Food Frequency Questionnaire, 24 h dietary recall and modified Osteoporosis Knowledge Assessment Tool.

Dietary intake data were collected using 24 h dietary recall methodology.

SUBJECTS Adults participants from the National Food, Nutrition and Physical Activity Survey, IAN-AF, 2015-2016, who provided two complete 24 h dietary recall and complete covariate information.

Methods In this cross-sectional study, a total of 4276 subjects (50∼64y: n = 2279, ≥65y: n = 1997) were classified according to dietary diversity score (DDS) (≥3 DDS, <3 DDS) using 24 h dietary recalls method.

DESIGN Nationally representative 24 h dietary recall data were obtained from the 2004 (n 4827) and 2015 (n 2447) Canadian Community Health Surveys.

Body composition, muscular strength, and dietary intake (24 h dietary recall) were performed pre- and post-intervention.

Participants/adult proxies completed multiple 24 h dietary recalls.

Dietary fiber intake was extracted through two 24 h dietary recall interviews.

Design: Cross-sectional telephone surveys using a validated 24 h dietary assessment.

Sociodemographic information, 24 h dietary recall, physical activity levels, and anthropometric data were collected from 527 participants.

Using a cross-sectional study design, we measured dietary intake (food diaries and 24 h dietary-recall) and energy expenditure (accelerometry) in vocational female ballet students (n = 20; age: 18.

Dietary calcium intake was assessed using three 24 h dietary recalls.

Two 24 h dietary recall records were completed, one for the day of alcohol consumption and another one for an alcohol-free control day.

The chocolate candy intake was estimated by seven independent 24 h dietary recalls and divided into three groups, which were none, less than 2 servings/week, and 2 servings/week or more.

The participants have completed at least three 24 h dietary records during the first two-years of follow-up to compute nutritional scores reflecting adherence to the Mediterranean diet (MEDI-LITE), American dietary guidelines (AHEI-2010) and French dietary guidelines (mPNNS-GS).

The intake of complementary food was estimated by using repeated 24 h dietary recall.

SETTING Salt intake was assessed by biochemical (24 h urinary Na excretion) and self-report methods (sodium FFQ, 24 h dietary recall, seasoned-salt questionnaire, discretionary-salt questionnaire and total reported salt intake).

Two or three baseline 24 h dietary recalls were collected in-person or over telephone between May 2012 and June 2014 from 1,745 children and adolescents from four randomized clinical trials in the Childhood Obesity Prevention and Treatment Research (COPTR) Consortium.

A correlation analysis between the 24 h dietary recall data and the urinary volatilome reveals further promising associations.

Magnesium intake was assessed by 24 h dietary recalls.

Dietary acid load was calculated using potential renal acid load (PRAL) equations from a 24 h dietary recall administrated to children.

Methods: We analyzed 24 h dietary recalls collected in 2016 from low- and middle-income Chilean preschool children (3–6 years, n = 839) and adolescents (12–14 years, n = 643) from southeastern Santiago.

Socio-demographic, 24 h dietary recall and food frequency questionnaires were used to collect data.

Two 24 h dietary recalls were conducted on random days at study entry and late pregnancy (35–36 weeks gestation).

DESIGN Child dietary intake was measured via a 24 h dietary recall.

The intakes and sources of iron-rich food and nutrients were investigated based on Food Frequency Questionnaire and 24 h dietary recall.

DESIGN Participants completed an online questionnaire consisting of sociodemographic questions, a 28 d FFQ and a 24 h dietary recall.

For GS-PS quantification, a gram amount was assigned to each PS category for each food item for men and women separately using data from three 24 h dietary recalls (24HDRs) in a calibration study of the Multiethnic Cohort (men = 1141, women = 1150).

At baseline, seven days and 14 days, 24 h dietary recalls were answered by the participants.