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A 24 h dietary recall of vegetable consumption was conducted for mothers and their children.
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Dietary patterns in pregnancy were identified using factor analysis of data from three consecutive 24 h dietary recalls.
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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).
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A 24 h dietary recall of vegetable consumption was conducted for mothers and their children.
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Dietary patterns in pregnancy were identified using factor analysis of data from three consecutive 24 h dietary recalls.
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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.
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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.
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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.
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, eating habits, taste preferences) by using within-individual variations in beef consumption between 2 nonconsecutive 24 h dietary recalls.
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Intakes of total fat and fatty acids were estimated from 24 h dietary recalls by sex and age groups.
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Thus, 24 h dietary recalls were conducted and analyzed for dietary intakes in this population (n = 202).
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Children completed three 24 h dietary recalls to determine nutrient inadequacies.
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Assessment of fermented food and Na consumption was conducted via analysis of 24 h dietary recall data.
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DESIGN
24 h Dietary recall data were used.
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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.
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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.
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ParticipantsOne 24 h dietary recall was used to assess dietary intake of 3156 adolescents aged 10-19 years.
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At each of the three study waves, 17 micronutrients from two 24 h dietary recalls were used to calculate MAR.
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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.
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Diet quality was examined using the Mediterranean Diet Score (MDS), using data from a single 24 h dietary recall.
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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).
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Dietary intake was obtained with 24 h dietary recalls, an FFQ and a Food Choices and Preferences questionnaire.
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Seven-day food consumption and 24 h dietary recalls were administered at household and individual level, respectively.
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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.
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Dietary intake data were collected using 24 h dietary recall methodology.
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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.
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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.
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Nationally representative 24 h dietary recall data were obtained from the 2004 (n 4827) and 2015 (n 2447) Canadian Community Health Surveys.
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Body composition, muscular strength, and dietary intake (24 h dietary recall) were performed pre- and post-intervention.
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Participants/adult proxies completed multiple 24 h dietary recalls.
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Dietary fiber intake was extracted through two 24 h dietary recall interviews.
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Design: Cross-sectional telephone surveys using a validated 24 h dietary assessment.
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Sociodemographic information, 24 h dietary recall, physical activity levels, and anthropometric data were collected from 527 participants.
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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.
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Dietary calcium intake was assessed using three 24 h dietary recalls.
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Two 24 h dietary recall records were completed, one for the day of alcohol consumption and another one for an alcohol-free control day.
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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.
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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).
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The intake of complementary food was estimated by using repeated 24 h dietary recall.
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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).
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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.
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A correlation analysis between the 24 h dietary recall data and the urinary volatilome reveals further promising associations.
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Magnesium intake was assessed by 24 h dietary recalls.
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Dietary acid load was calculated using potential renal acid load (PRAL) equations from a 24 h dietary recall administrated to children.
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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.
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Socio-demographic, 24 h dietary recall and food frequency questionnaires were used to collect data.
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Two 24 h dietary recalls were conducted on random days at study entry and late pregnancy (35–36 weeks gestation).
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DESIGN
Child dietary intake was measured via a 24 h dietary recall.
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The intakes and sources of iron-rich food and nutrients were investigated based on Food Frequency Questionnaire and 24 h dietary recall.
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DESIGN
Participants completed an online questionnaire consisting of sociodemographic questions, a 28 d FFQ and a 24 h dietary recall.
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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).
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At baseline, seven days and 14 days, 24 h dietary recalls were answered by the participants.
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