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Eke H, Sjöblom L, Lagerros YT, Bonn SE. A validation study comparing energy and nutrient intake between a web-based food frequency questionnaire and a 4-d dietary record. Nutrition 2024; 120:112332. [PMID: 38295492 DOI: 10.1016/j.nut.2023.112332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 12/06/2023] [Accepted: 12/18/2023] [Indexed: 02/02/2024]
Abstract
OBJECTIVE Reliable assessments of dietary intake is crucial when examining associations between dietary factors and different outcomes. Today, web-based instead of paper-based food frequency questionnaires (FFQs) are common. A web-based FFQ implies a different experience (including design differences, the possibility only to show relevant questions, and automatic checks for completeness) and may capture dietary intake differently. The aim of this study was to validate a well-used paper-based FFQ transferred to a web-based version against a 4-d dietary record. METHODS Baseline data from a dietary intervention study comprising women and men with type 2 diabetes were used. Diet was assessed with the web-based FFQ and a 4-d dietary record. Energy intake and energy-adjusted nutrient intakes were assessed and compared using Spearman's rank correlation and Bland-Altman analysis. The analysis included 101 participants. RESULTS The average energy intake with the FFQ was 2068 kcal, 157 kcal higher than the average from the dietary record. Significant deattenuated correlations were found for intake of energy (r = 0.37; 95% confidence interval [CI],0.19-0.53), carbohydrates (r = 0.85; 95% CI, 0.78-0.89), protein (r = 0.53; 95% CI, 0.38-0.66) and fat (r = 0.59; 95% CI, 0.44-0.70). Significant deattenuated correlations (ranging r = 0.26-0.73) were found for intake of alcohol, whole grain, fiber, saturated fat, monounsaturated fat, polyunsaturated fat, cholesterol, vitamins A, B12, C, D, and E, folate, iron, potassium, magnesium, and calcium. Bland-Altman analyses showed no clear trends but wide limits of agreement. CONCLUSION Overall, the web-based FFQ performed well and is similar to the paper-based version. It can be a useful tool for dietary assessments.
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Affiliation(s)
- Helén Eke
- Division of Clinical Epidemiology, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden.
| | - Linnea Sjöblom
- Division of Clinical Epidemiology, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden
| | - Ylva Trolle Lagerros
- Division of Clinical Epidemiology, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden; Center for Obesity, Academic Specialist Center, Stockholm Health Services, Stockholm, Sweden
| | - Stephanie E Bonn
- Division of Clinical Epidemiology, Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden
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2
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Papathanail I, Abdur Rahman L, Brigato L, Bez NS, Vasiloglou MF, van der Horst K, Mougiakakou S. The Nutritional Content of Meal Images in Free-Living Conditions-Automatic Assessment with goFOOD TM. Nutrients 2023; 15:3835. [PMID: 37686866 PMCID: PMC10490087 DOI: 10.3390/nu15173835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/28/2023] [Accepted: 08/30/2023] [Indexed: 09/10/2023] Open
Abstract
A healthy diet can help to prevent or manage many important conditions and diseases, particularly obesity, malnutrition, and diabetes. Recent advancements in artificial intelligence and smartphone technologies have enabled applications to conduct automatic nutritional assessment from meal images, providing a convenient, efficient, and accurate method for continuous diet evaluation. We now extend the goFOODTM automatic system to perform food segmentation, recognition, volume, as well as calorie and macro-nutrient estimation from single images that are captured by a smartphone. In order to assess our system's performance, we conducted a feasibility study with 50 participants from Switzerland. We recorded their meals for one day and then dietitians carried out a 24 h recall. We retrospectively analysed the collected images to assess the nutritional content of the meals. By comparing our results with the dietitians' estimations, we demonstrated that the newly introduced system has comparable energy and macronutrient estimation performance with the previous method; however, it only requires a single image instead of two. The system can be applied in a real-life scenarios, and it can be easily used to assess dietary intake. This system could help individuals gain a better understanding of their dietary consumption. Additionally, it could serve as a valuable resource for dietitians, and could contribute to nutritional research.
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Affiliation(s)
- Ioannis Papathanail
- ARTORG Center for Biomedical Engineering Research, University of Bern, 3008 Bern, Switzerland; (I.P.); (L.A.R.); (L.B.); (M.F.V.)
| | - Lubnaa Abdur Rahman
- ARTORG Center for Biomedical Engineering Research, University of Bern, 3008 Bern, Switzerland; (I.P.); (L.A.R.); (L.B.); (M.F.V.)
| | - Lorenzo Brigato
- ARTORG Center for Biomedical Engineering Research, University of Bern, 3008 Bern, Switzerland; (I.P.); (L.A.R.); (L.B.); (M.F.V.)
| | - Natalie S. Bez
- School of Health Professions, Bern University of Applied Sciences, 3008 Bern, Switzerland; (N.S.B.); (K.v.d.H.)
| | - Maria F. Vasiloglou
- ARTORG Center for Biomedical Engineering Research, University of Bern, 3008 Bern, Switzerland; (I.P.); (L.A.R.); (L.B.); (M.F.V.)
| | - Klazine van der Horst
- School of Health Professions, Bern University of Applied Sciences, 3008 Bern, Switzerland; (N.S.B.); (K.v.d.H.)
| | - Stavroula Mougiakakou
- ARTORG Center for Biomedical Engineering Research, University of Bern, 3008 Bern, Switzerland; (I.P.); (L.A.R.); (L.B.); (M.F.V.)
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Murai U, Tajima R, Matsumoto M, Sato Y, Horie S, Fujiwara A, Koshida E, Okada E, Sumikura T, Yokoyama T, Ishikawa M, Kurotani K, Takimoto H. Validation of Dietary Intake Estimated by Web-Based Dietary Assessment Methods and Usability Using Dietary Records or 24-h Dietary Recalls: A Scoping Review. Nutrients 2023; 15:nu15081816. [PMID: 37111035 PMCID: PMC10141001 DOI: 10.3390/nu15081816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 03/29/2023] [Accepted: 04/05/2023] [Indexed: 04/29/2023] Open
Abstract
The goal was to summarize studies comparing the accuracy of web-based dietary assessments with those of conventional face-to-face or paper-based assessments using 24-h dietary recall or dietary record methods in the general population. Using two databases, mean differences and correlation coefficients (CCs) for intakes of energy, macronutrients, sodium, vegetables, and fruits were extracted from each study independently by the authors. We also collected information regarding usability from articles reporting this. From 17 articles included in this review, the mean dietary intake differences in the web-based dietary assessment compared to conventional methods, were -11.5-16.1% for energy, -12.1-14.9% for protein, -16.7-17.6% for fat, -10.8-8.0% for carbohydrates, -11.2-9.6% for sodium, -27.4-3.9% for vegetables, and -5.1-47.6% for fruits. The CC was 0.17-0.88 for energy, protein, fat, carbohydrates, and sodium, and 0.23-0.85 for vegetables and fruits. In three out of four studies reporting usability, more than half of the participants preferred the web-based dietary assessment. In conclusion, % difference and CC of dietary intake were acceptable in both web-based dietary records and 24-h dietary recalls. The findings from this review highlight the possibility of wide-spread application of the web-based dietary assessment in the future.
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Affiliation(s)
- Utako Murai
- Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan
| | - Ryoko Tajima
- Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan
| | - Mai Matsumoto
- Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan
| | - Yoko Sato
- Department of the Science of Living, Kyoritsu Women's Junior College, Tokyo 101-8437, Japan
| | - Saki Horie
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Aya Fujiwara
- Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo 162-8655, Japan
| | - Emiko Koshida
- Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan
| | - Emiko Okada
- Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan
| | - Tomoko Sumikura
- Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan
| | - Tetsuji Yokoyama
- Department of Health Promotion, National Institute of Public Health, Wako 351-0197, Japan
| | - Midori Ishikawa
- Department of Health Promotion, National Institute of Public Health, Wako 351-0197, Japan
| | - Kayo Kurotani
- Faculty of Food and Health Sciences, Showa Women's University, Tokyo 154-8533, Japan
| | - Hidemi Takimoto
- Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Kento Innovation Park NK Building, 3-17 Shinmachi, Settsu City, Osaka 566-0002, Japan
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Mattes RD, Rowe SB, Ohlhorst SD, Brown AW, Hoffman DJ, Liska DJ, Feskens EJM, Dhillon J, Tucker KL, Epstein LH, Neufeld LM, Kelley M, Fukagawa NK, Sunde RA, Zeisel SH, Basile AJ, Borth LE, Jackson E. Valuing the Diversity of Research Methods to Advance Nutrition Science. Adv Nutr 2022; 13:1324-1393. [PMID: 35802522 PMCID: PMC9340992 DOI: 10.1093/advances/nmac043] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 04/08/2022] [Indexed: 12/13/2022] Open
Abstract
The ASN Board of Directors appointed the Nutrition Research Task Force to develop a report on scientific methods used in nutrition science to advance discovery, interpretation, and application of knowledge in the field. The genesis of this report was growing concern about the tone of discourse among nutrition professionals and the implications of acrimony on the productive study and translation of nutrition science. Too often, honest differences of opinion are cast as conflicts instead of areas of needed collaboration. Recognition of the value (and limitations) of contributions from well-executed nutrition science derived from the various approaches used in the discipline, as well as appreciation of how their layering will yield the strongest evidence base, will provide a basis for greater productivity and impact. Greater collaborative efforts within the field of nutrition science will require an understanding that each method or approach has a place and function that should be valued and used together to create the nutrition evidence base. Precision nutrition was identified as an important emerging nutrition topic by the preponderance of task force members, and this theme was adopted for the report because it lent itself to integration of many approaches in nutrition science. Although the primary audience for this report is nutrition researchers and other nutrition professionals, a secondary aim is to develop a document useful for the various audiences that translate nutrition research, including journalists, clinicians, and policymakers. The intent is to promote accurate, transparent, verifiable evidence-based communication about nutrition science. This will facilitate reasoned interpretation and application of emerging findings and, thereby, improve understanding and trust in nutrition science and appropriate characterization, development, and adoption of recommendations.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Leonard H Epstein
- University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA
| | | | - Michael Kelley
- Michael Kelley Nutrition Science Consulting, Wauwatosa, WI, USA
| | - Naomi K Fukagawa
- USDA Beltsville Human Nutrition Research Center, Beltsville, MD, USA
| | | | - Steven H Zeisel
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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5
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Development of a mobile application to assess Brazilian schoolchildren's diet: CADE – food consumption at home and at school. J Nutr Sci 2022; 11:e27. [PMID: 35462881 PMCID: PMC9003633 DOI: 10.1017/jns.2022.25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 03/11/2022] [Accepted: 03/14/2022] [Indexed: 12/04/2022] Open
Abstract
The development of technologies for children's dietary assessment shows important potential for reducing the occurrence of inherent errors in traditional methods. The present study aimed to describe the development of a mobile app for the dietary assessment of Brazilian schoolchildren. The mobile app assesses schoolchildren's diet with self-report by their parents or guardians in the home environment, through multiple-pass 24-hour recall coupled with a food propensity questionnaire; and by an adult in the school environment, through a food record. The tool presents a database of food items usually consumed by Brazilian schoolchildren, including modes of preparation, probing foods and types of food quantification such as digital photos of household measurements and food portions. The CADE app (food consumption at home and at school) contains 2125 food items, 9 options for preparation methods and 18 options for probing items. There are 75 options for household measurements, also including 26 digital photos of four types of household measurements and 440 photos of portion sizes of 90 foods from the Brazilian Manual of Child Food Portion Quantification. Some innovative features include an interface to take photos of the child's meals and report seconds and leftover food consumption, besides the possibility of receiving notifications on the mobile device to remember to report the diet. The CADE app can assist the standardisation and automation of dietary data collection from schoolchildren, support food and nutrition data in childhood and promote research in nutritional epidemiology while reducing data collection costs.
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Das SK, Miki AJ, Blanchard CM, Sazonov E, Gilhooly CH, Dey S, Wolk CB, Khoo CSH, Hill JO, Shook RP. Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints. Adv Nutr 2022; 13:1-15. [PMID: 34545392 PMCID: PMC8803491 DOI: 10.1093/advances/nmab103] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/19/2021] [Accepted: 08/25/2021] [Indexed: 12/23/2022] Open
Abstract
The science and tools of measuring energy intake and output in humans have rapidly advanced in the last decade. Engineered devices such as wearables and sensors, software applications, and Web-based tools are now ubiquitous in both research and consumer environments. The assessment of energy expenditure in particular has progressed from reliance on self-report instruments to advanced technologies requiring collaboration across multiple disciplines, from optics to accelerometry. In contrast, assessing energy intake still heavily relies on self-report mechanisms. Although these tools have improved, moving from paper-based to online reporting, considerable room for refinement remains in existing tools, and great opportunities exist for novel, transformational tools, including those using spectroscopy and chemo-sensing. This report reviews the state of the science, and the opportunities and challenges in existing and emerging technologies, from the perspectives of 3 key stakeholders: researchers, users, and developers. Each stakeholder approaches these tools with unique requirements: researchers are concerned with validity, accuracy, data detail and abundance, and ethical use; users with ease of use and privacy; and developers with high adherence and utilization, intellectual property, licensing rights, and monetization. Cross-cutting concerns include frequent updating and integration of the food and nutrient databases on which assessments rely, improving accessibility and reducing disparities in use, and maintaining reliable technical assistance. These contextual challenges are discussed in terms of opportunities and further steps in the direction of personalized health.
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Affiliation(s)
- Sai Krupa Das
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Akari J Miki
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Caroline M Blanchard
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Edward Sazonov
- Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL, USA
| | - Cheryl H Gilhooly
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Sujit Dey
- Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Colton B Wolk
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Chor San H Khoo
- Institute for the Advancement of Food and Nutrition Sciences, Washington, DC, USA
| | - James O Hill
- Department of Nutrition Sciences, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL, USA
- Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Robin P Shook
- Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy Kansas City, Kansas City, MO, USA
- School of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA
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Zhang L, Misir A, Boshuizen H, Ocké M. A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps. Adv Nutr 2021; 12:2321-2332. [PMID: 34019624 PMCID: PMC8634532 DOI: 10.1093/advances/nmab058] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Mobile dietary record apps have been increasingly validated by studies with various study designs. This review aims to evaluate the overall accuracy of dietary record apps in measuring the intake of energy, macro- and micronutrients, and food groups in real-life settings and the designs of validation studies. We systematically searched mobile dietary record validation studies published during the period from 2013 to 2019. We identified 14 studies for the systematic review, of which 11 studies were suitable for meta-analyses on energy intake and 8 studies on macronutrient intake. Mean differences and SDs of nutrient estimations between the app and the reference method from studies were pooled using a random-effects model. All apps underestimated energy intake when compared with their reference methods, with a pooled effect of -202 kcal/d (95% CI: -319, -85 kcal/d); the heterogeneity of studies was 72%. After stratification, studies that used the same food-composition table for both the app and the reference method had a lower level of heterogeneity (0%) and a pooled effect of -57 kcal/d (95% CI: -116, 2 kcal/d). The heterogeneity of studies in the differences in carbohydrate, fat, and protein intake was 54%, 73%, and 80%, with the pooled effect of -18.8 g/d, -12.7 g/d, and -12.2 g/d, respectively, after excluding outliers. The intakes of micronutrients and food groups were statistically nonsignificantly underestimated by the apps in most cases. In conclusion, dietary record apps underestimated food consumption compared with traditional dietary assessment methods. Moreover, varying study designs have been found across studies. Recommended practices for conducting validation studies were formulated including considering biomarkers as the reference, testing in a larger and more representative study population for a longer period, avoiding the learning effect of each method, and comparing food group or food item consumption in addition to comparing energy and nutrient intakes.
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Affiliation(s)
- Liangzi Zhang
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands,Division of Human Nutrition, Wageningen University and Research, Wageningen, The Netherlands
| | - Andreja Misir
- Division of Human Nutrition, Wageningen University and Research, Wageningen, The Netherlands
| | - Hendriek Boshuizen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands,Division of Human Nutrition, Wageningen University and Research, Wageningen, The Netherlands
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Emerging trends of technology-based dietary assessment: a perspective study. Eur J Clin Nutr 2020; 75:582-587. [PMID: 33082535 DOI: 10.1038/s41430-020-00779-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 09/15/2020] [Accepted: 10/02/2020] [Indexed: 11/08/2022]
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9
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Infant’s growth and nutrition monitoring system. SN APPLIED SCIENCES 2020. [DOI: 10.1007/s42452-020-03264-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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FoodFoto: A Systems Thinking Approach to Dietary Intake Collection, Storage and Analysis. Comput Inform Nurs 2020; 38:265-272. [PMID: 32511155 DOI: 10.1097/cin.0000000000000650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Alrige M, Alharbey R, Chatterjee S. The Effect of a Customized Nutrient-Profiling Approach on the Glycated Hemoglobin Levels of Patients With Type 2 Diabetes: Quasi-Experimental Study. J Med Internet Res 2020; 22:e15497. [PMID: 32427107 PMCID: PMC7267995 DOI: 10.2196/15497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 12/15/2019] [Accepted: 01/26/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Presently, dietary management approaches are mostly oriented toward using calorie-counting and diet-tracking tools that draw our attention away from the nutritional value of our food. To improve individuals' dietary behavior, primarily that of people with type 2 diabetes, a simple technique is needed to increase their understanding of the nutritional content of their food. OBJECTIVE This study aimed to design, develop, and evaluate a customized nutrient-profiling tool called EasyNutrition. EasyNutrition was built to introduce the new concept of nutrient profiling by applying the Intelligent Nutrition Engine, an algorithm that we developed for ranking different food recipes based on their nutritional value. This study also aimed to investigate the efficacy of EasyNutrition in lowering glycated hemoglobin (HbA1c) levels and improving dietary habits among people with type 2 diabetes. METHODS We evaluated the utility of EasyNutrition using design science research in three sequential stages. This paper has elaborated on the third stage to investigate the efficacy of EasyNutrition in managing type 2 diabetes. A quasi-experimental study was conducted in a diabetes treatment center (n=28). The intervention group utilized EasyNutrition over 3 months, whereas participants in the control group utilized the standard of care provided by the center. Dietary habits and HbA1c levels were measured to capture any change before and after experimenting with EasyNutrition. RESULTS The intervention group (n=9) exhibited a statistically significant change between the pre- and postexposure results of their HbA1c (t9=2.427; P=.04). Their HbA1c dropped from 8.13 to 6.72. This provided preliminary evidence of the efficacy of using a customized nutrient-profiling app in reducing HbA1c for people with type 2 diabetes. CONCLUSIONS This study adds to the evidence base that a nutrient-profiling strategy may be a modern adjunct to diabetes dietary management. In conjunction with reliable dietary education provided by a registered dietician, EasyNutrition may have some beneficial effects to improve the dietary habits of people with type 2 diabetes.
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12
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Perspectives from individuals with low education and interviewers using the GloboDiet 24 h recall: a qualitative study. J Nutr Sci 2020; 9:e13. [PMID: 32284861 PMCID: PMC7132555 DOI: 10.1017/jns.2020.6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
The perception of individuals with low education about dietary assessments is not well explored and studying this may be beneficial to improve data collection. The study builds on previous quantitative studies by providing explanations for the observed lower performance of the 24-h recall method among low-educated individuals. A qualitative study was carried out in Brazil. First, trained interviewers attended a focus group via video conference. Next, individuals with low education, defined as less than 9 years of study, participated in semi-structured face-to-face interviews. Three main themes emerged from the focus groups and were contrasted with the interviews. Summarising, the establishment of adequate communication during the interview is of utmost importance among the low-educated population. Besides, the familiarity of individuals with food and nutrition favours the report of information. Lastly, the use of photographs for food portion quantification helps the dietary assessment although further investigations to improve their use are also needed.
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13
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How does a simplified recipe collection procedure in dietary assessment tools affect the food group and nutrient intake distributions of the population. Br J Nutr 2020; 124:189-198. [PMID: 32174294 DOI: 10.1017/s0007114520000999] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Technology advancements have driven the use of self-administered dietary assessment methods in large-scale dietary surveys. Interviewer-assisted methods generally have a complicated recipe recording procedure enabling the adjustment from a standard recipe. In order to decide if this functionality can be omitted for self-administered dietary assessment, this study aimed to assess the extent of standard recipe modifications in the Dutch National Food Consumption Survey and measure the impact on the food group and nutrient intake distributions of the population when the modifications were disregarded. A two-scenario simulation analysis was conducted. Firstly, the individual recipe scenario omitted the full modifications to the standard recipes made by people who knew their recipes. Secondly, the modified recipe scenario omitted the modifications made by those who partially modified the standard recipe due to their limited knowledge. The weighted percentage differences for the nutrient and food group intake distributions between the scenarios and the original data set were calculated. The highest percentage of energy consumed through mixed dishes was 10 % for females aged 19-79 years. Comparing the combined scenario and the original data set, the average of the absolute percentage difference for the population mean intakes was 1·6 % across all food groups and 0·6 % for nutrients. The soup group (-6·6 %) and DHA (-2·3 %) showed the largest percentage difference. The recipe simplification caused a slight underestimation of the consumed amount of both foods (-0·2 %) and nutrients (-0·4 %). These results are promising for developing self-administered 24-hour recalls or food diary applications without complex recipe function.
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14
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Nichelle PG, Almeida CCB, Camey SA, Garmus LM, Elias VCM, Marchioni DM, da Silva DG, Ocke MC, Slimani N, Fisberg RM, Crispim SP. Subjects' Perception in Quantifying Printed and Digital Photos of Food Portions. Nutrients 2019; 11:E501. [PMID: 30818798 PMCID: PMC6471321 DOI: 10.3390/nu11030501] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 02/20/2019] [Accepted: 02/20/2019] [Indexed: 12/14/2022] Open
Abstract
Although digital photos have the potential to improve the precision of reported portions in dietary assessment, there are few studies investigating its accuracy in comparison to printed photos. The aim of this study was to evaluate the perception of adults in quantifying food portion sizes using printed and digital photos, displayed on computer-screens and tablets. In total, 1165 evaluations were performed for 60 photos of portion sizes in Brazil. Each participant (n = 58) attended two sessions in the study center, with an interval of at least one week. In each session, twelve food portions were prepared and randomly evaluated by each participant in its printed and digital forms. The mean error (difference between the estimated and true portions) was not significantly different between the printed photos (2.1 g ± 47.2) and the digital ones (-6.4 g ± 53.7). The agreement on using the printed and digital photos was 91% and 90%, respectively. Furthermore, the use of the tablet was more prone to underestimation when compared to printed and computer-screen photos (p < 0.001). Overall, participants did not present major difficulties in perceiving the portion sizes using the printed and digital photos, but the use of tablets led to less accurate results, indicating that this needs to be further evaluated.
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Affiliation(s)
- Pryscila G Nichelle
- Postgraduate Program in Food and Nutrition, Department of Nutrition, Federal University of Paraná (UFPR), Curitiba 80240-110, Brazil.
| | - Claudia C B Almeida
- Postgraduate Program in Food and Nutrition, Department of Nutrition, Federal University of Paraná (UFPR), Curitiba 80240-110, Brazil.
| | - Suzi A Camey
- Postgraduate Program in Epidemiology, Department of Statistics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 91509-900, Brazil.
| | - Lenine M Garmus
- Postgraduate Program in Food and Nutrition, Department of Nutrition, Federal University of Paraná (UFPR), Curitiba 80240-110, Brazil.
| | - Vanessa C M Elias
- Postgraduate Program in Food and Nutrition, Department of Nutrition, Federal University of Paraná (UFPR), Curitiba 80240-110, Brazil.
| | - Dirce M Marchioni
- Department of Nutrition, School of Public Health, University of São Paulo. Research Group of Epidemiological Studies and Innovation in Food and Health-GEIAS, São Paulo 01246-000, Brazil.
| | - Danielle G da Silva
- Postgraduate Program in Nutrition Science, Department of Nutrition, Federal University of Sergipe, São Cristóvão 49100-000, Brazil.
| | - Marga C Ocke
- National Institute for Public Health and the Environment, 3721 MA Bilthoven, The Netherlands.
| | - Nadia Slimani
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
| | - Regina M Fisberg
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo 01246-000, Brazil.
| | - Sandra P Crispim
- Postgraduate Program in Food and Nutrition, Department of Nutrition, Federal University of Paraná (UFPR), Curitiba 80240-110, Brazil.
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15
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Calegari LP, Fettermann DC. Uma análise conjunta para identificação dos atributos de um dispositivo para reconhecimento de características de produtos alimentícios customizados. BRAZILIAN JOURNAL OF FOOD TECHNOLOGY 2019. [DOI: 10.1590/1981-6723.02418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Resumo A possibilidade de combinação de ingredientes alimentícios em cada refeição torna complexo o reconhecimento das características dos alimentos personalizados. A utilização de dispositivos com tecnologias da Internet of Things (IoT) consiste em uma alternativa para os clientes acessarem informações dos alimentos personalizados. Nesta pesquisa, foram identificados cinco principais atributos na composição desses dispositivos com objetivo de reconhecimento dos ingredientes em refeições customizadas: (A) portabilidade, (B) precisão, (C) personalização de dieta, (D) análise de qualidade do produto alimentício e (E) preço. Este estudo possui como objetivo identificar a combinação desses atributos que geram valor em um dispositivo de reconhecimento de características alimentares de alimentos customizados. Foi realizado um planejamento fatorial fracionado 25-1 para a apresentação dos atributos do dispositivo na forma de cenários, seguindo o método de análise conjunta baseada em escolha. Para a coleta de dados, foi realizada uma pesquisa com uma amostra de 303 respondentes. Ainda foram analisadas as variáveis moderadoras: gênero e presença de restrição alimentar. Os resultados obtidos apresentaram maior significância para os atributos: precisão de medida e análise de qualidade. Como contribuições, este estudo apresenta informações para o direcionamento de investimentos em pesquisa para elaboração de um dispositivo tecnológico com a finalidade de reconhecer características de um produto alimentício customizado em massa.
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Kankanhalli A, Saxena M, Wadhwa B. Combined interventions for physical activity, sleep, and diet using smartphone apps: A scoping literature review. Int J Med Inform 2018; 123:54-67. [PMID: 30654904 DOI: 10.1016/j.ijmedinf.2018.12.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 11/22/2018] [Accepted: 12/13/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND The use of smartphone apps to track and manage physical activity (PA), diet, and sleep is growing rapidly. Many apps aim to change individual behavior on these three key health dimensions (PA, sleep, diet) by using various interventions. Earlier reviews have examined interventions using smartphone apps for one or two of these dimensions. However, there is lack of reviews focusing on interventions for all three of these dimensions in combination with each other. This is important since the dimensions are often inter-related, and all are required for a healthy lifestyle. OBJECTIVE The objective of this study is to conduct a review to: (1) map out the research done using smartphone app interventions targeting all three or any two of the three dimensions (PA, sleep, and diet), (2) examine if the studies consider the inter-relationships among the dimensions, and (3) identify the personalization methods implemented by the studies. METHODS A literature search was conducted in electronic databases and libraries related to medical and informatics literature - PubMed, ScienceDirect, PsycINFO (ProQuest, Ovid) - using relevant selected keywords. Article selection and inclusion were done by removing duplicates, analyzing titles and abstracts, and then reviewing the full text of the articles. RESULTS In the final analysis, 14 articles were selected - 2 articles focusing on PA and sleep, 8 on PA and diet, and 4 that examine or (at least) collect data of all three dimensions (PA, sleep, and diet). No research was found that focused on sleep and diet together. Of the 14 articles, only 4 build user profiles. Further, 3 of these 4 studies deliver personalized feedback based on the user's profile, with only 1 study providing automated, personalized recommendations for behavior change. Additionally, 6 of the included studies report all positive outcomes, while for 3 studies the primary outcomes are awaited. The remaining 5 studies do not report significant changes in all outcomes. In all, only 1 study examines the relationship between two (PA and diet) dimensions. No study was found to assess the relationships among the 3 dimensions.
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Affiliation(s)
- Atreyi Kankanhalli
- Dept. of Information Systems and Analytics, COM2-04-16, School of Computing, National University of Singapore, 15 Computing Drive, 117418, Singapore.
| | - Meghna Saxena
- Dept. of Information Systems and Analytics, COM2-04-16, School of Computing, National University of Singapore, 15 Computing Drive, 117418, Singapore.
| | - Bimlesh Wadhwa
- Dept. of Computer Science, COM2-02-62, School of Computing, National University of Singapore, 15 Computing Drive, 117418, Singapore.
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17
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Aksoy DB, Arca DM, Besler PHT. THE BALANCED NUTRITION TEST: AN ONLINE DIETARY ASSESSMENT TOOL ADAPTED FROM THE SELF CHECK PROGRAM FOR USE IN TURKEY. Nutrition 2018. [DOI: 10.1016/j.nut.2018.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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18
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Food identification by barcode scanning in the Netherlands: a quality assessment of labelled food product databases underlying popular nutrition applications. Public Health Nutr 2018; 22:1215-1222. [PMID: 29962361 DOI: 10.1017/s136898001800157x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE The quality of labelled food product databases underlying popular diet applications (apps) with barcode scanners was investigated. DESIGN Product identification rates for the scanned products and the availability and accuracy of nutrient values were calculated. SETTING One hundred food products were selected from the two largest supermarket chains in the Netherlands. Using the barcode scanners of the selected apps, the products were scanned and the results recorded as food diary entries. The collected data were exported. SUBJECTS Seven diet apps with barcode scanner and food recording feature were selected from the Google Play and Apple app stores. RESULTS Energy values were available for 99 % of the scanned products, of which on average 79 % deviated not more than 5 % from the true value. MyFitnessPal provided values for sixteen nutrients, while Virtuagym Food and Yazio provided values for only four nutrients. MyFitnessPal also showed the largest percentage of correctly identified products (i.e. 96 %) and SparkPeople the smallest (i.e. 5 %). The accuracy of the provided nutrient values varied greatly between apps and nutrients. CONCLUSIONS While energy was the most consistently and accurately reported value, the availability and accuracy of other values varied greatly between apps. Whereas popular diet apps with barcode scanners might be valuable tools for dietary assessments on the product and energy level, they appear less suitable for assessments on the nutrient level. The presence of user-generated database entries implies that the availability of food products might vary depending on the size and diversity of an app's user base.
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19
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Maringer M, van’t Veer P, Klepacz N, Verain MCD, Normann A, Ekman S, Timotijevic L, Raats MM, Geelen A. User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research. Nutr J 2018; 17:59. [PMID: 29885653 PMCID: PMC5994240 DOI: 10.1186/s12937-018-0366-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 05/24/2018] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The need for a better understanding of food consumption behaviour within its behavioural context has sparked the interest of nutrition researchers for user-documented food consumption data collected outside the research context using publicly available nutrition apps. The study aims to characterize the scientific, technical, legal and ethical features of this data in order to identify the opportunities and challenges associated with using this data for nutrition research. METHOD A search for apps collecting food consumption data was conducted in October 2016 against UK Google Play and iTunes storefronts. 176 apps were selected based on user ratings and English language support. Publicly available information from the app stores and app-related websites was investigated and relevant data extracted and summarized. Our focus was on characteristics related to scientific relevance, data management and legal and ethical governance of user-documented food consumption data. RESULTS Food diaries are the most common form of data collection, allowing for multiple inputs including generic food items, packaged products, or images. Standards and procedures for compiling food databases used for estimating energy and nutrient intakes remain largely undisclosed. Food consumption data is interlinked with various types of contextual data related to behavioural motivation, physical activity, health, and fitness. While exchange of data between apps is common practise, the majority of apps lack technical documentation regarding data export. There is a similar lack of documentation regarding the implemented terms of use and privacy policies. While users are usually the owners of their data, vendors are granted irrevocable and royalty free licenses to commercially exploit the data. CONCLUSION Due to its magnitude, diversity, and interconnectedness, user-documented food consumption data offers promising opportunities for a better understanding of habitual food consumption behaviour and its determinants. Non-standardized or non-documented food data compilation procedures, data exchange protocols and formats, terms of use and privacy statements, however, limit possibilities to integrate, process and share user-documented food consumption data. An ongoing research effort is required, to keep pace with the technical advancements of food consumption apps, their evolving data networks and the legal and ethical regulations related to protecting app users and their personal data.
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Affiliation(s)
- Marcus Maringer
- Division of Human Nutrition, Wageningen University & Research, Wageningen, The Netherlands
| | - Pieter van’t Veer
- Division of Human Nutrition, Wageningen University & Research, Wageningen, The Netherlands
| | - Naomi Klepacz
- Food, Consumer Behaviour and Health Research Centre, University of Surrey, Guildford, Surrey, United Kingdom
| | - Muriel C. D. Verain
- Wageningen Economic Research, Wageningen University & Research, Wageningen, The Netherlands
| | - Anne Normann
- Division of Bioscience and Materials, Agrifood and Bioscience, RISE Research Institutes of Sweden, Gothenburg, Sweden
| | - Suzanne Ekman
- Division of Bioscience and Materials, Agrifood and Bioscience, RISE Research Institutes of Sweden, Gothenburg, Sweden
| | - Lada Timotijevic
- Food, Consumer Behaviour and Health Research Centre, University of Surrey, Guildford, Surrey, United Kingdom
| | - Monique M. Raats
- Food, Consumer Behaviour and Health Research Centre, University of Surrey, Guildford, Surrey, United Kingdom
| | - Anouk Geelen
- Division of Human Nutrition, Wageningen University & Research, Wageningen, The Netherlands
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20
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Savard C, Lemieux S, Lafrenière J, Laramée C, Robitaille J, Morisset AS. Validation of a self-administered web-based 24-hour dietary recall among pregnant women. BMC Pregnancy Childbirth 2018; 18:112. [PMID: 29685127 PMCID: PMC5913813 DOI: 10.1186/s12884-018-1741-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2017] [Accepted: 04/12/2018] [Indexed: 01/11/2023] Open
Abstract
Background The use of valid dietary assessment methods is crucial to analyse adherence to dietary recommendations among pregnant women. This study aims to assess the relative validity of a self-administered Web-based 24-h dietary recall, the R24W, against a pen-paper 3-day food record (FR) among pregnant women. Methods Sixty (60) pregnant women recruited at 9.3 ± 0.7 weeks of pregnancy in Quebec City completed, at each trimester, 3 R24W and a 3-day FR. Mean energy and nutrient intakes reported by both tools were compared using paired Student T-Tests. Pearson correlations were used to analyze the association between both methods. Agreement between the two methods was evaluated using cross-classification analyses, weighted kappa coefficients and Bland-Altman analyses. Results Pearson correlation coefficients were all significant, except for vitamin B12 (r = 0.03; p = 0.83) and ranged from 0.27 to 0.76 (p < 0.05). Differences between mean intakes assessed by the R24W and the FR did not exceed 10% in 19 variables and were not significant for 16 out of 26 variables. In cross-classification analyses, the R24W ranked, on average, 79.1% of participants in the same or adjacent quartiles as the FR. Conclusions Compared to a 3-day FR, the R24W is a valid method to assess intakes of energy and most nutrients but may be less accurate in the evaluation of intakes of fat (as a proportion of energy intake), vitamin D, zinc and folic acid. During pregnancy, the R24W was a more accurate tool at a group-level than at an individual-level and should, therefore, be used in an epidemiological rather than a clinical setting. The R24W may be particularly valuable as a tool used in cohort studies to provide valid information on pregnant women’s dietary intakes and facilitate evaluation of associations between diet and adverse pregnancy outcomes. Electronic supplementary material The online version of this article (10.1186/s12884-018-1741-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Claudia Savard
- École de nutrition de l'Université Laval, Pavillon Paul-Comtois, Université Laval, 2425, rue de l'Agriculture, local 2412, Québec, G1V 0A6, Canada.,Axe d'endocrinologie et de néphrologie du Centre de Recherche du CHU de Québec-Université Laval, Québec, QC, Canada.,Institut sur la nutrition et les aliments fonctionnels, Université Laval, Québec, QC, Canada
| | - Simone Lemieux
- École de nutrition de l'Université Laval, Pavillon Paul-Comtois, Université Laval, 2425, rue de l'Agriculture, local 2412, Québec, G1V 0A6, Canada.,Institut sur la nutrition et les aliments fonctionnels, Université Laval, Québec, QC, Canada
| | - Jacynthe Lafrenière
- École de nutrition de l'Université Laval, Pavillon Paul-Comtois, Université Laval, 2425, rue de l'Agriculture, local 2412, Québec, G1V 0A6, Canada.,Institut sur la nutrition et les aliments fonctionnels, Université Laval, Québec, QC, Canada
| | - Catherine Laramée
- Institut sur la nutrition et les aliments fonctionnels, Université Laval, Québec, QC, Canada
| | - Julie Robitaille
- École de nutrition de l'Université Laval, Pavillon Paul-Comtois, Université Laval, 2425, rue de l'Agriculture, local 2412, Québec, G1V 0A6, Canada.,Axe d'endocrinologie et de néphrologie du Centre de Recherche du CHU de Québec-Université Laval, Québec, QC, Canada.,Institut sur la nutrition et les aliments fonctionnels, Université Laval, Québec, QC, Canada
| | - Anne-Sophie Morisset
- École de nutrition de l'Université Laval, Pavillon Paul-Comtois, Université Laval, 2425, rue de l'Agriculture, local 2412, Québec, G1V 0A6, Canada. .,Axe d'endocrinologie et de néphrologie du Centre de Recherche du CHU de Québec-Université Laval, Québec, QC, Canada. .,Institut sur la nutrition et les aliments fonctionnels, Université Laval, Québec, QC, Canada.
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21
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Calegari LP, Barbosa J, Marodin GA, Fettermann DC. A conjoint analysis to consumer choice in Brazil: Defining device attributes for recognizing customized foods characteristics. Food Res Int 2018; 109:1-13. [PMID: 29803431 DOI: 10.1016/j.foodres.2018.03.080] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 03/27/2018] [Accepted: 03/30/2018] [Indexed: 01/20/2023]
Abstract
the availability of information about food products may be an essential factor in the consumer's value perception in their purchasing decision. As the food product becomes personalized, the customization of this information becomes complex due to the possible combinations of product components. The use of smart technology in devices is one way to provide customers with customized food information. In the following research five attributes were identified in the composition of these devices: (A) portability; (B) precision; (C) diet customization; (D) food quality analysis; and (E) price. This study aims to identify the appropriate combination of possible functionalities or attributes that must be present in a device in order to detect the food composition of customized foods and their relation to market characteristics. One experiment used fractional factorial project to present the attributes in the form of scenarios following the Choice-Based Conjoint Analysis (CBCA) method. The data collection was done using survey methodology, through online questionnaire, with some 303 Brazilian respondents. So, the Logistic Regression was applied to data analysis. The moderating variables-gender, age, gluten restriction, lactose restriction and other restrictions-were also added to verify potential interactions with the primary attributes. From the results obtained, it was possible to observe higher significance for the primary attributes of diet personalization and quality food analyzes function. Our study contributes to the literature by enhancing the understanding about what the attributes should be in a technological device that has the purpose of recognizing food characteristics and is capable of generating information about customized food products. Furthermore, this device can enabler the production of mass customized food with the nutritional labels for each possible combination.
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Affiliation(s)
- L P Calegari
- Department of Industrial Engineering and Systems, Federal University of Santa Catarina, Florianópolis, Brazil.
| | - J Barbosa
- Department of Industrial Engineering and Systems, Federal University of Santa Catarina, Florianópolis, Brazil
| | - G A Marodin
- Departament of Management Science, University of South Carolina, Columbia, USA..
| | - D C Fettermann
- Department of Industrial Engineering and Systems, Federal University of Santa Catarina, Florianópolis, Brazil.
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22
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Rantanen MM, Koskinen J. PHR, We’ve Had a Problem Here. THIS CHANGES EVERYTHING – ICT AND CLIMATE CHANGE: WHAT CAN WE DO? 2018. [DOI: 10.1007/978-3-319-99605-9_28] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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23
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24
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Innovative approaches to estimate individual usual dietary intake in large-scale epidemiological studies. Proc Nutr Soc 2017; 76:213-219. [PMID: 28162110 DOI: 10.1017/s0029665116003025] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Valid estimation of usual dietary intake in epidemiological studies is a topic of present interest. The aim of the present paper is to review recent literature on innovative approaches focussing on: (1) the requirements to assess usual intake and (2) the application in large-scale settings. Recently, a number of technology-based self-administered tools have been developed, including short-term instruments such as web-based 24-h recalls, mobile food records or simple closed-ended questionnaires that assess the food intake of the previous 24 h. Due to their advantages in terms of feasibility and cost-effectiveness these tools may be superior to conventional assessment methods in large-scale settings. New statistical methods have been developed to combine dietary information from repeated 24-h dietary recalls and FFQ. Conceptually, these statistical methods presume that the usual food intake of a subject equals the probability of consuming a food on a given day, multiplied by the average amount of intake of that food on a typical consumption day. Repeated 24-h recalls from the same individual provide information on consumption probability and amount. In addition, the FFQ can add information on intake frequency of rarely consumed foods. It has been suggested that this combined approach may provide high-quality dietary information. A promising direction for estimation of usual intake in large-scale settings is the integration of both statistical methods and new technologies. Studies are warranted to assess the validity of estimated usual intake in comparison with biomarkers.
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25
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Reifegerste D, Wasgien K, Hagen LM. Online social support for obese adults: Exploring the role of forum activity. Int J Med Inform 2017; 101:1-8. [PMID: 28347439 DOI: 10.1016/j.ijmedinf.2017.02.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Revised: 01/18/2017] [Accepted: 02/03/2017] [Indexed: 01/08/2023]
Abstract
PURPOSE Worldwide, the number of obese persons continues to grow. Online-mediated self-help groups represent an opportunity for obese persons to support each other. The aim of our study was to evaluate whether and how the use of and active participation in online self-help groups is associated with perceived informational and emotional support among obese adults. METHODS We conducted an online-based questionnaire (N=230) with users of online self-help groups for obese adults in Germany. RESULTS Findings revealed that forum activity is significantly correlated with perceived informational and emotional support. While asking questions was strongly correlated with both types of social support, sharing opinions and answering posts were more strongly correlated with perceived emotional support. CONCLUSION The level of social support in online communities depends on an individual's forum activity. Our findings offer a foundation for professionals in the health care sector to enhance their understanding, make recommendations, and further develop online self-help groups.
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Affiliation(s)
- Doreen Reifegerste
- Department of Journalism and Communication Research, Hanover University of Music, Drama and Media, Germany.
| | - Katrin Wasgien
- Institute of Media and Communication, University of Technology Dresden, Germany
| | - Lutz M Hagen
- Institute of Media and Communication, University of Technology Dresden, Germany
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26
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A review of the design and validation of web- and computer-based 24-h dietary recall tools. Nutr Res Rev 2016; 29:268-280. [DOI: 10.1017/s0954422416000172] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
AbstractTechnology-based dietary assessment offers solutions to many of the limitations of traditional dietary assessment methodologies including cost, participation rates and the accuracy of data collected. The 24-h dietary recall (24HDR) method is currently the most utilised method for the collection of dietary intake data at a national level. Recently there have been many developments using web-based platforms to collect food intake data using the principles of the 24HDR method. This review identifies web- and computer-based 24HDR tools that have been developed for both children and adult population groups, and examines common design features and the methods used to investigate the performance and validity of these tools. Overall, there is generally good to strong agreement between web-based 24HDR and respective reference measures for intakes of macro- and micronutrients.
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27
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Purtzer MA, Hermansen-Kobulnicky CJ. Optimizing the Benefits of Self-Monitoring Among Patients With Cancer. Oncol Nurs Forum 2016; 43:E218-E225. [PMID: 27768138 DOI: 10.1188/16.onf.e218-e225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE/OBJECTIVES To investigate oncology professionals' perspectives about, experience with, and envisioned feasibility of incorporating patient self-monitoring as a patient-centered practice.
. RESEARCH APPROACH An interpretive, descriptive study.
. SETTING Four health systems and five cancer centers in three states.
. PARTICIPANTS 38 nurses, nurse practitioners, oncologists, physician assistants, and radiation therapists.
. METHODOLOGIC APPROACH Individual and focus group interviews.
. FINDINGS Three themes were revealed. CONCLUSIONS This study uncovers the potential contribution of patient self-monitoring as a means of providing patient-generated data that informs clinical decision making, going beyond self-monitoring for self-management only. Because the term self-monitoring is not used by clinicians, adoption of an agreed-upon term is recommended as the first step toward developing and implementing a self-monitoring strategy. Findings support the need to reenvision patient education to ensure self-monitoring is clinically useful while preventing an excessive focus on the negative, which may contribute to patient anxiety.
. INTERPRETATION The full potential for self-monitoring by patients is not entirely reached. Because nurses are charged with providing patient education, they are strategically positioned to adopt the term self-monitoring and integrate a self-monitoring strategy into patient-centered practice.
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28
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Turner-McGrievy GM, Wilcox S, Kaczynski AT, Spruijt-Metz D, Hutto BE, Muth ER, Hoover A. Crowdsourcing for self-monitoring: Using the Traffic Light Diet and crowdsourcing to provide dietary feedback. Digit Health 2016; 2:2055207616657212. [PMID: 29942561 PMCID: PMC6001271 DOI: 10.1177/2055207616657212] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Accepted: 06/04/2016] [Indexed: 11/17/2022] Open
Abstract
Background Smartphone photography and crowdsourcing feedback could reduce participant burden for dietary self-monitoring. Objectives To assess if untrained individuals can accurately crowdsource diet quality ratings of food photos using the Traffic Light Diet (TLD) approach. Methods Participants were recruited via Amazon Mechanical Turk and read a one-page description on the TLD. The study examined the participant accuracy score (total number of correctly categorized foods as red, yellow, or green per person), the food accuracy score (accuracy by which each food was categorized), and if the accuracy of ratings increased when more users were included in the crowdsourcing. For each of a range of possible crowd sizes (n = 15, n = 30, etc.), 10,000 bootstrap samples were drawn and a 95% confidence interval (CI) for accuracy constructed using the 2.5th and 97.5th percentiles. Results Participants (n = 75; body mass index 28.0 ± 7.5; age 36 ± 11; 59% attempting weight loss) rated 10 foods as red, yellow, or green. Raters demonstrated high red/yellow/green accuracy (>75%) examining all foods. Mean accuracy score per participant was 77.6 ± 14.0%. Individual photos were rated accurately the majority of the time (range = 50%–100%). There was little variation in the 95% CI for each of the five different crowd sizes, indicating that large numbers of individuals may not be needed to accurately crowdsource foods. Conclusions Nutrition-novice users can be trained easily to rate foods using the TLD. Since feedback from crowdsourcing relies on the agreement of the majority, this method holds promise as a low-burden approach to providing diet-quality feedback.
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Affiliation(s)
- Gabrielle M Turner-McGrievy
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, USA
| | - Sara Wilcox
- Prevention Research Center, Arnold School of Public Health, University of South Carolina, USA.,Department of Exercise Science, Arnold School of Public Health, University of South Carolina, USA
| | - Andrew T Kaczynski
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, USA.,Prevention Research Center, Arnold School of Public Health, University of South Carolina, USA
| | - Donna Spruijt-Metz
- Center for Economic and Social Research, University of Southern California, USA.,Department of Psychology, University of Southern California, USA
| | - Brent E Hutto
- Prevention Research Center, Arnold School of Public Health, University of South Carolina, USA
| | - Eric R Muth
- Department of Psychology, Clemson University, USA
| | - Adam Hoover
- Holcombe Department of Electrical and Computer Engineering, Clemson University, USA
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