The aim of the present study was to describe the energy, nutrient and crude v. disaggregated food intake measured using 7 d diet diaries (7dDD) for the full baseline Norfolk cohort recruited for the European Prospective Investigation into Cancer (EPIC-Norfolk) study, with emphasis on methodological issues. The first data collection took place between 1993 and 1998 in Norfolk, East Anglia (UK). Of the 30,445 men and women, aged 40-79 years, registered with a general practitioner invited to participate in the study, 25,639 came for a health examination and were asked to complete a 7dDD. Data from diaries with data recorded for at least 1 d were obtained for 99% members of the cohort; 10,354 (89·8%) of the men and 12,779 (91·5%) of the women completed the diet diaries for all 7 d. Mean energy intake (EI) was 9·44 (SD 2·22) MJ/d and 7·15 (SD 1·66) MJ/d, respectively. EI remained approximately stable across the days, but there was apparent under-reporting among the participants, especially among those with BMI >25 kg/m². Micronutrient density was higher among women than among men. In conclusion, under-reporting is an issue, but not more so than that found in national surveys. How foods were grouped (crude or disaggregated) made a difference to the estimates obtained, and comparison of intakes showed wide limits of agreement. The choice of variables influences estimates obtained from the food group data; while this may not alter the ranking of individuals within studies, this issue may be relevant when comparing absolute food intakes between studies.
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http://dx.doi.org/10.1017/S0007114513002754 | DOI Listing |
Pediatr Obes
January 2025
Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Objective: To determine whether BMI differences observed at 5 years of age, from early intervention in infancy, remained apparent at 11 years.
Methods: Participants (n = 734) from the original randomized controlled trial (n = 802) underwent measures of body mass index (BMI), body composition (DXA), sleep and physical activity (24-h accelerometry, questionnaire), diet (repeated 24-h recalls), screen time (daily diaries), wellbeing (CHU-9D, WHO-5), and family functioning (McMaster FAD) around their 11th birthday. Following multiple imputation, regression models explored the effects of two interventions ('Sleep' vs.
BMC Nutr
January 2025
Department of Food and Nutrition, University of Helsinki, Helsinki, Finland.
Background: Gestational Diabetes Mellitus (GDM) prevalence is rising worldwide, but optimal dietary strategies remain unclear. The eMOM pilot RCT compared a plant-protein rich Healthy Nordic Diet (HND) and a moderately carbohydrate restricted diet (MCRD) and their potential effects on time in glucose target range (≤ 7.8 mmol/L, %TIR), and on newborn body composition.
View Article and Find Full Text PDFAm J Clin Nutr
January 2025
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK. Electronic address:
Background: The precision of recorded eating times directly affects the estimation of eating architecture i.e. size, timing, and frequency of eating.
View Article and Find Full Text PDFJ Acad Nutr Diet
January 2025
Professor, Institute of Epidemiology and Healthcare, University College London; 1-19 Torrington Place, London, WC1E 7HB.
Introduction: Children's consumption of ultra-processed food (UPF) may contribute to inequalities in obesity and wider health. Socioeconomic patterning in younger UK children's UPF intake is unknown.
Objective: To investigate socioeconomic patterning of UK toddlers' (21-months) and children's (7-years) UPF intake across several household and neighbourhood indicators.
Nutrients
December 2024
Department of Health and Society, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil.
Background/objectives: Studies have highlighted the impact of work and school schedules on food preferences, suggesting that individuals' dietary choices may change during the week to align with their daily routines. Despite the variation in food composition in the population, there is no evidence identifying differences in food intake times and composition across the days of the week in urban/rural locations. Thus, the study's aim was to identify weekday vs.
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