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Bradley J, Rowland MK, Matthews JNS, Adamson AJ, Spence S. A comparison of food portion size estimation methods among 11-12 year olds: 3D food models vs an online tool using food portion photos (Intake24). BMC Nutr 2021; 7:10. [PMID: 33952349 PMCID: PMC8101205 DOI: 10.1186/s40795-021-00415-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 02/08/2021] [Indexed: 11/10/2022] Open
Abstract
Background Technology has advanced bringing new cost-effective methods to measure food intake. The aim of the study was to compare food and drink portion estimates from a traditional portion estimation method using 3D food models with portion estimates using an online dietary recall tool, Intake24. Methods 11-12 year old children were recruited from secondary schools in Newcastle upon Tyne. Each pupil completed a two-day food diary followed by an interview during which pupils estimated food portion sizes using a range of 3D food models. They also completed Intake24 for the same 2 days. Bland Altman analyses were used to compare mean intake for each method. Results Seventy pupils completed both portion estimation methods. There was good agreement in food weight estimations between the two methods (geometric mean ratio 1.00), with limits of agreement ranging from minus 35% to plus 53%. Intake24 provided estimates of energy intake that were 1% lower on average than estimates of energy intake using the food models. Mean intakes of all macro and micronutrients using Intake24 were within 6% of the food model estimates. Conclusions The findings suggest that there was little difference in portion estimations from the two methods, allowing comparisons to be made between Intake24 data and food diary data collected from same age pupils using 3D food models in previous years.
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Affiliation(s)
- Jennifer Bradley
- Human Nutrition Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
| | - Maisie K Rowland
- Human Nutrition Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - John N S Matthews
- School of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK
| | - Ashley J Adamson
- Human Nutrition Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Suzanne Spence
- Human Nutrition Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
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Mesana MI, Hilbig A, Androutsos O, Cuenca-García M, Dallongeville J, Huybrechts I, De Henauw S, Widhalm K, Kafatos A, Nova E, Marcos A, González-Gross M, Molnar D, Gottrand F, Moreno LA. Dietary sources of sugars in adolescents' diet: the HELENA study. Eur J Nutr 2018; 57:629-641. [PMID: 27896443 DOI: 10.1007/s00394-016-1349-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 11/15/2016] [Indexed: 10/20/2022]
Abstract
OBJECTIVE To report dietary sugars consumption and their different types and food sources, in European adolescents. METHODS Food consumption data of selected groups were obtained from 1630 adolescents (45.6% males, 12.5-17.5 years) from the HELENA study using two nonconsecutive 24-h recalls. Energy intake, total sugars and free sugars were assessed using the HELENA-DIAT software. Multiple regression analyses were performed adjusting for relevant confounders. RESULTS Total sugars intake (137.5 g/day) represented 23.6% and free sugars (110.1 g/day), 19% of energy intake. Girls had significantly lower intakes of energy, carbohydrates, total sugars and free sugars. 94% of adolescents had a consumption of free sugars above 10% of total energy intake. The main food contributor to free sugars was 'carbonated, soft and isotonic drinks,' followed by 'non-chocolate confectionary' and 'sugar, honey, jam and syrup.' Older boys and girls had significantly higher intakes of free sugars from 'cakes, pies and biscuits.' Free sugars intake was negatively associated with low socioeconomic status for 'non-chocolate confectionary' and 'sugar, honey and jam' groups; with low maternal educational level for carbonated and 'soft drinks,' 'sugar, honey and jam,' 'cakes and pies' and 'breakfast cereals' groups; and with high paternal educational level for 'carbonated and soft drinks' and 'chocolates' group. CONCLUSIONS The majority (94%) of studied adolescents consumed free sugars above 10% of daily energy intake. Our data indicate a broad variety in foods providing free sugars. Continued efforts are required at different levels to reduce the intake of free sugars, especially in families with a low educational level.
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Affiliation(s)
- M I Mesana
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, University of Zaragoza, C/Pedro Cerbuna 12, 50009, Saragossa, Spain.
- Instituto Agroalimentario de Aragón (IA2), Saragossa, Spain.
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), Saragossa, Spain.
- Red de Salud Materno-infantil y del Desarrollo (SAMID), Madrid, Spain.
| | - A Hilbig
- Research Institute of Child Nutrition (FKE), Dortmund, Germany
| | - O Androutsos
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
| | - M Cuenca-García
- Department of Medical Physiology, School of Medicine, University of Granada, Granada, Spain
- GALENO Research Group, Department of Physical Education, School of Education, University of Cadiz, Puerto Real, Spain
| | - J Dallongeville
- Service d'Epidémiologie et Santé Publique - INSERM U1167 Institut Pasteur de Lille, Lille, France
| | - I Huybrechts
- Faculty of Medicine and Health Sciences, Department of Public Health, Ghent University, Ghent, Belgium
- Dietary Exposure Assessment Group, International Agency for Research on Cancer, Lyon, France
| | - S De Henauw
- Faculty of Medicine and Health Sciences, Department of Public Health, Ghent University, Ghent, Belgium
| | - K Widhalm
- Division of Clinical Nutrition and Prevention, Department of Pediatrics, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - A Kafatos
- Department of Social Medicine, Preventive Medicine and Nutrition Clinic, School of Medicine, University of Crete, Heraklion, Crete, Greece
| | - E Nova
- Inmunonutrition Research Group, Department of Metabolism and Nutrition, Instituto del Frío, Institute of Food Science and Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), Madrid, Spain
| | - A Marcos
- Inmunonutrition Research Group, Department of Metabolism and Nutrition, Instituto del Frío, Institute of Food Science and Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), Madrid, Spain
| | - M González-Gross
- ImFINE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport-INEF, Technical University of Madrid, Madrid, Spain
- Institut für Ernährungs- und Lebensmittelwissenschaften - Ernährungphysiologie, Rheinische Friedrich Wilhelms Universität, Bonn, Germany
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
| | - D Molnar
- Department of Paediatrics, Medical Faculty, University of Pécs, Pecs, Hungary
| | - F Gottrand
- Lille Inflammation Research International Center (LIRIC) UMR 995 Inserm, University of Lille, CHU Lille, 59000, Lille cedex, France
| | - L A Moreno
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, University of Zaragoza, C/Pedro Cerbuna 12, 50009, Saragossa, Spain
- Instituto Agroalimentario de Aragón (IA2), Saragossa, Spain
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), Saragossa, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain
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van Sluijs EMF, Skidmore PML, Mwanza K, Jones AP, Callaghan AM, Ekelund U, Harrison F, Harvey I, Panter J, Wareham NJ, Cassidy A, Griffin SJ. Physical activity and dietary behaviour in a population-based sample of British 10-year old children: the SPEEDY study (Sport, Physical activity and Eating behaviour: environmental Determinants in Young people). BMC Public Health 2008; 8:388. [PMID: 19014571 PMCID: PMC2605463 DOI: 10.1186/1471-2458-8-388] [Citation(s) in RCA: 137] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2008] [Accepted: 11/14/2008] [Indexed: 01/06/2023] Open
Abstract
Background The SPEEDY study was set up to quantify levels of physical activity (PA) and dietary habits and the association with potential correlates in 9–10 year old British school children. We present here the analyses of the PA, dietary and anthropometry data. Methods In a cross-sectional study of 2064 children (926 boys, 1138 girls) in Norfolk, England, we collected anthropometry data at school using standardised procedures. Body mass index (BMI) was used to define obesity status. PA was assessed with the Actigraph accelerometer over 7 days. A cut-off of ≥ 2000 activity counts was used to define minutes of moderate-to-vigorous PA (MVPA). Dietary habits were assessed using the Health Behaviour in School Children food questionnaire. Weight status was defined using published international cut-offs (Cole, 2000). Differences between groups were assessed using independent t-tests for continuous data and chi-squared tests for categorical data. Results Valid PA data (>500 minutes per day on ≥ 3 days) was available for 1888 children. Mean (± SD) activity counts per minute among boys and girls were 716.5 ± 220.2 and 635.6 ± 210.6, respectively (p < 0.001). Boys spent an average of 84.1 ± 25.9 minutes in MVPA per day compared to 66.1 ± 20.8 among girls (p < 0.001), with an average of 69.1% of children accumulating 60 minutes each day. The proportion of children classified as overweight and obese was 15.0% and 4.1% for boys and 19.3% and 6.6% for girls, respectively (p = 0.001). Daily consumption of at least one portion of fruit and of vegetables was 56.8% and 49.9% respectively, with higher daily consumption in girls than boys and in children from higher socioeconomic backgrounds. Conclusion Results indicate that almost 70% of children meet national PA guidelines, indicating that a prevention of decline, rather than increasing physical activity levels, might be an appropriate intervention target. Promotion of daily fruit and vegetable intake in this age group is also warranted, possibly focussing on children from lower socioeconomic backgrounds.
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Affiliation(s)
- Esther M F van Sluijs
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Box 285, Addenbrookes Hospital, Hills Road, Cambridge, CB2 0QQ, UK.
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