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Lucassen DA, Brouwer-Brolsma EM, Boshuizen HC, Mars M, de Vogel-Van den Bosch J, Feskens EJM. Validation of the smartphone-based dietary assessment tool 'Traqq' for assessing actual dietary intake by repeated 2-hour recalls in adults: comparison with 24h recalls and urinary biomarkers. Am J Clin Nutr 2023:S0002-9165(23)46837-2. [PMID: 37054887 DOI: 10.1016/j.ajcnut.2023.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 02/07/2023] [Accepted: 04/10/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND Conventional dietary assessment methods are affected by measurement error. We developed a smartphone-based 2-hour recall (2hR) methodology to reduce participant burden and memory-related bias. OBJECTIVE Assessing the validity of the 2hR method against traditional 24-hour recalls (24hRs) and objective biomarkers. METHODS Dietary intake was assessed in 215 Dutch adults on six randomly selected non-consecutive days (i.e., three 2hR-days and three 24hRs) during a four-week period. Sixty-three participants provided four 24-hour urine samples, to assess urinary nitrogen and potassium concentrations. RESULTS Intake estimates of energy (2,052±503 kcal vs. 1,976±483 kcal) and nutrients (e.g., protein: 78±23 g vs. 71±19 g; fat: 84±30 g vs. 79±26 g; carbohydrates: 220±60 g vs. 216±60 g) were slightly higher with 2hR-days than 24hRs. Comparing self-reported protein and potassium intakes to urinary nitrogen and potassium concentrations indicated a slightly higher accuracy of 2hR-days than 24hRs (protein: -14% vs. -18%; potassium: -11% vs. -16%). Correlation coefficients between methods ranged from 0.41 to 0.75 for energy and macronutrients and from 0.41 to 0.62 for micronutrients. Generally regularly consumed food groups showed small differences in intake (<10%) and good correlations (>0.60). Intakes of and energy, nutrients and food groups showed similar reproducibility (ICC) for 2hR-days and 24hRs. CONCLUSIONS Comparing 2hR-days with 24hRs showed relatively similar group-level bias for energy, most nutrients, and food groups. Differences were mostly due to higher intake estimates by 2hR-days. Biomarker comparisons showed less underestimation by 2hR-days as compared to 24hRs, suggesting that 2hR-days are a valid approach to assess intake of energy, nutrients and food groups. TRIAL REGISTRATION This trial was registered at the Dutch Central Committee on Research Involving Human Subjects (CCMO) registry as ABR. No. NL69065.081.19.
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Affiliation(s)
- Desiree A Lucassen
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.
| | - Elske M Brouwer-Brolsma
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Hendriek C Boshuizen
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands; National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Monica Mars
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | | | - Edith J M Feskens
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
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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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Fitzpatrick JA, Melton SL, Yao CK, Gibson PR, Halmos EP. Dietary management of adults with IBD - the emerging role of dietary therapy. Nat Rev Gastroenterol Hepatol 2022; 19:652-669. [PMID: 35577903 DOI: 10.1038/s41575-022-00619-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/12/2022] [Indexed: 02/08/2023]
Abstract
Historically, dietitians played a minor part in the management of inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis. Patients were commonly referred for consequences of uncontrolled disease, such as malnutrition and bowel obstruction risk. Today, dietitians are fundamental members of the multidisciplinary IBD team, from educating on the role of diet at diagnosis and throughout the lifespan of a patient with IBD to guiding primary induction therapy. This aspect is reflected in published guidelines for IBD management, which previously placed diet as only a minor factor, but now have diet-specific publications. This Review describes a four-step approach in a dietitian's assessment and management of diet in patients with IBD: (1) identifying and correcting nutritional gaps and dietary imbalances; (2) considering diet to treat active disease with the use of exclusive enteral nutrition (EEN) or emerging diets that could replace EEN; (3) using therapeutic diets to control existing complications of IBD, such as reduced fibre to prevent bowel obstruction in stricturing disease or a fermentable oligosaccharides, disaccharides, monosaccharides and polyols diet to manage co-existing functional gut symptoms; and (4) considering the role of diet in preventing IBD development in high-risk populations.
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Affiliation(s)
- Jessica A Fitzpatrick
- Department of Gastroenterology, The Alfred Hospital and Monash University, Melbourne, Victoria, Australia
| | - Sarah L Melton
- Department of Gastroenterology, The Alfred Hospital and Monash University, Melbourne, Victoria, Australia
| | - Chu Kion Yao
- Department of Gastroenterology, The Alfred Hospital and Monash University, Melbourne, Victoria, Australia
| | - Peter R Gibson
- Department of Gastroenterology, The Alfred Hospital and Monash University, Melbourne, Victoria, Australia
| | - Emma P Halmos
- Department of Gastroenterology, The Alfred Hospital and Monash University, Melbourne, Victoria, Australia.
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Peart DJ, Briggs MA, Shaw MP. Mobile applications for the sport and exercise nutritionist: a narrative review. BMC Sports Sci Med Rehabil 2022; 14:30. [PMID: 35193643 PMCID: PMC8862506 DOI: 10.1186/s13102-022-00419-z] [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: 10/19/2021] [Accepted: 02/12/2022] [Indexed: 12/03/2022]
Abstract
Mobile technology is widespread in modern society, and the applications (apps) that they run can serve various purposes. Features such as portability, ease of communication, storage, and relative low cost may make such technology attractive to practitioners in several fields. This review provides a critical narrative on the existing literature for apps relevant to the field of sport and exercise nutrition. Three main areas are discussed: (1) dietary analysis of athletes, (2) nutrition education for athletes, (3) estimating body composition. The key purpose of the review was to identify what literature is available, in what areas apps may have a benefit over traditional methods, and considerations that practitioners should make before they implement apps into their practice or recommend their use to coaches and athletes.
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Affiliation(s)
- Daniel J Peart
- Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle-upon-Tyne, UK.
| | - Marc A Briggs
- Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle-upon-Tyne, UK
| | - Matthew P Shaw
- Sports, Physical Activity and Food, Western Norway University of Applied Sciences, Sogndal, Norway
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Thornton L, Osman B, Champion K, Green O, Wescott AB, Gardner LA, Stewart C, Visontay R, Whife J, Parmenter B, Birrell L, Bryant Z, Chapman C, Lubans D, Slade T, Torous J, Teesson M, Van de Ven P. Measurement Properties of Smartphone Approaches to Assess Diet, Alcohol Use, and Tobacco Use: Systematic Review. JMIR Mhealth Uhealth 2022; 10:e27337. [PMID: 35175212 PMCID: PMC8895282 DOI: 10.2196/27337] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 06/23/2021] [Accepted: 09/16/2021] [Indexed: 12/14/2022] Open
Abstract
Background
Poor diet, alcohol use, and tobacco smoking have been identified as strong determinants of chronic diseases, such as cardiovascular disease, diabetes, and cancer. Smartphones have the potential to provide a real-time, pervasive, unobtrusive, and cost-effective way to measure these health behaviors and deliver instant feedback to users. Despite this, the validity of using smartphones to measure these behaviors is largely unknown.
Objective
The aim of our review is to identify existing smartphone-based approaches to measure these health behaviors and critically appraise the quality of their measurement properties.
Methods
We conducted a systematic search of the Ovid MEDLINE, Embase (Elsevier), Cochrane Library (Wiley), PsycINFO (EBSCOhost), CINAHL (EBSCOHost), Web of Science (Clarivate), SPORTDiscus (EBSCOhost), and IEEE Xplore Digital Library databases in March 2020. Articles that were written in English; reported measuring diet, alcohol use, or tobacco use via a smartphone; and reported on at least one measurement property (eg, validity, reliability, and responsiveness) were eligible. The methodological quality of the included studies was assessed using the Consensus-Based Standards for the Selection of Health Measurement Instruments Risk of Bias checklist. Outcomes were summarized in a narrative synthesis. This systematic review was registered with PROSPERO, identifier CRD42019122242.
Results
Of 12,261 records, 72 studies describing the measurement properties of smartphone-based approaches to measure diet (48/72, 67%), alcohol use (16/72, 22%), and tobacco use (8/72, 11%) were identified and included in this review. Across the health behaviors, 18 different measurement techniques were used in smartphones. The measurement properties most commonly examined were construct validity, measurement error, and criterion validity. The results varied by behavior and measurement approach, and the methodological quality of the studies varied widely. Most studies investigating the measurement of diet and alcohol received very good or adequate methodological quality ratings, that is, 73% (35/48) and 69% (11/16), respectively, whereas only 13% (1/8) investigating the measurement of tobacco use received a very good or adequate rating.
Conclusions
This review is the first to provide evidence regarding the different types of smartphone-based approaches currently used to measure key behavioral risk factors for chronic diseases (diet, alcohol use, and tobacco use) and the quality of their measurement properties. A total of 19 measurement techniques were identified, most of which assessed dietary behaviors (48/72, 67%). Some evidence exists to support the reliability and validity of using smartphones to assess these behaviors; however, the results varied by behavior and measurement approach. The methodological quality of the included studies also varied. Overall, more high-quality studies validating smartphone-based approaches against criterion measures are needed. Further research investigating the use of smartphones to assess alcohol and tobacco use and objective measurement approaches is also needed.
International Registered Report Identifier (IRRID)
RR2-https://doi.org/10.1186/s13643-020-01375-w
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Affiliation(s)
- Louise Thornton
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, Australia
- School of Public Health and Community Medicine, University of New South Wales, Kensington, Australia
| | - Bridie Osman
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Katrina Champion
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Olivia Green
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Annie B Wescott
- Galter Health Sciences Library & Learning Center, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States
| | - Lauren A Gardner
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Courtney Stewart
- National Drug Research Institute, Curtin University, Perth, Australia
| | - Rachel Visontay
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Jesse Whife
- National Drug Research Institute, Curtin University, Perth, Australia
| | - Belinda Parmenter
- School of Health Sciences, The University of New South Wales, Sydney, Australia
| | - Louise Birrell
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Zachary Bryant
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Cath Chapman
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - David Lubans
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Newcastle, Australia
| | - Tim Slade
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - John Torous
- Beth Israel Deaconness Medical Centre, Harvard Medical School, Boston, MA, United States
| | - Maree Teesson
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Pepijn Van de Ven
- Health Research Institute, University of Limerick, Limerick, Ireland
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Performance of the Digital Dietary Assessment Tool MyFoodRepo. Nutrients 2022; 14:nu14030635. [PMID: 35276994 PMCID: PMC8838173 DOI: 10.3390/nu14030635] [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: 12/31/2021] [Revised: 01/26/2022] [Accepted: 01/27/2022] [Indexed: 12/10/2022] Open
Abstract
Digital dietary assessment devices could help overcome the limitations of traditional tools to assess dietary intake in clinical and/or epidemiological studies. We evaluated the accuracy of the automated dietary app MyFoodRepo (MFR) against controlled reference values from weighted food diaries (WFD). MFR’s capability to identify, classify and analyze the content of 189 different records was assessed using Cohen and uniform kappa coefficients and linear regressions. MFR identified 98.0% ± 1.5 of all edible components and was not affected by increasing numbers of ingredients. Linear regression analysis showed wide limits of agreement between MFR and WFD methods to estimate energy, carbohydrates, fat, proteins, fiber and alcohol contents of all records and a constant overestimation of proteins, likely reflecting the overestimation of portion sizes for meat, fish and seafood. The MFR mean portion size error was 9.2% ± 48.1 with individual errors ranging between −88.5% and +242.5% compared to true values. Beverages were impacted by the app’s difficulty in correctly identifying the nature of liquids (41.9% ± 17.7 of composed beverages correctly classified). Fair estimations of portion size by MFR, along with its strong segmentation and classification capabilities, resulted in a generally good agreement between MFR and WFD which would be suited for the identification of dietary patterns, eating habits and regime types.
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Validating Accuracy of a Mobile Application against Food Frequency Questionnaire on Key Nutrients with Modern Diets for mHealth Era. Nutrients 2022; 14:nu14030537. [PMID: 35276892 PMCID: PMC8839756 DOI: 10.3390/nu14030537] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 01/21/2022] [Accepted: 01/24/2022] [Indexed: 02/06/2023] Open
Abstract
In preparation for personalized nutrition, an accurate assessment of dietary intakes on key essential nutrients using smartphones can help promote health and reduce health risks across vulnerable populations. We, therefore, validated the accuracy of a mobile application (app) against Food Frequency Questionnaire (FFQ) using artificial intelligence (AI) machine-learning-based analytics, assessing key macro- and micro-nutrients across various modern diets. We first used Bland and Altman analysis to identify and visualize the differences between the two measures. We then applied AI-based analytics to enhance prediction accuracy, including generalized regression to identify factors that contributed to the differences between the two measures. The mobile app underestimated most macro- and micro-nutrients compared to FFQ (ranges: -5% for total calories, -19% for cobalamin, -33% for vitamin E). The average correlations between the two measures were 0.87 for macro-nutrients and 0.84 for micro-nutrients. Factors that contributed to the differences between the two measures using total calories as an example, included caloric range (1000-2000 versus others), carbohydrate, and protein; for cobalamin, included caloric range, protein, and Chinese diet. Future studies are needed to validate actual intakes and reporting of various diets, and to examine the accuracy of mobile App. Thus, a mobile app can be used to support personalized nutrition in the mHealth era, considering adjustments with sources that could contribute to the inaccurate estimates of nutrients.
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Scarry A, Rice J, O' Connor EM, Tierney AC. Does the use of mobile applications or mobile health technology improve diet quality in adults? A protocol for a systematic literature review. HRB Open Res 2022. [DOI: 10.12688/hrbopenres.13472.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Background: Mobile technology has grown at an exceptional rate and is now a huge part of our daily living. This use of mobile technology has opened up new possibilities in treating health, with almost half of the current applications linked to the mHealth sector. In particular, dietary measurement, applications have become very accessible and very popular. As dietary issues have become more prevalent, more mobile and mHealth applications offer various solutions. This systematic review aims to address if the use of such mobile applications or mobile health technology can improve diet quality in adults that interact with them. Methods: A systematic review of randomised controlled trials (RCTs) and non-randomised controlled trials (NRCTs) will be conducted. The Cumulative Index to Nursing and Allied Health Literature (Cinahl), The American Psychological Association’s (APA Psycinfo), and PubMed will be searched from January 2010 to November 2021. Primary outcomes will include identifying if adults who use mobile applications and health technology improve their diet quality compared to adults who do not use this technology. Study selection will follow the Preferred Reporting Items for Systematic Reviews and MetaAnalyses (PRISMA) guidelines. The methodological appraisal of the studies will be assessed independently by two different reviewers (AS and JR) using the Cochrane Risk-of-Bias Tool for RCTs and the Risk-of Bias In Non-Randomised Studies Tool for NRCTs. Ethics and dissemination: Ethical approval is not essential for this systematic review. Only data from studies that are publically available from previously published studies will be used. The findings of this systematic review will be submitted for publication in a peer-reviewed journal and presented at relevant conferences. PROSPERO registration: CRD42021240224 (01/03/2021).
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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 2021; 13:1-15. [PMID: 34545392 PMCID: PMC8803491 DOI: 10.1093/advances/nmab103] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [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)
| | - 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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Morrison A, Braly K, Singh N, Suskind DL, Lee D. Differences in Nutrient Intake with Homemade versus Chef-Prepared Specific Carbohydrate Diet Therapy in Inflammatory Bowel Disease: Insights into Dietary Research. Pediatr Gastroenterol Hepatol Nutr 2021; 24:432-442. [PMID: 34557396 PMCID: PMC8443856 DOI: 10.5223/pghn.2021.24.5.432] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 07/19/2021] [Accepted: 07/23/2021] [Indexed: 11/14/2022] Open
Abstract
PURPOSE The aim of this study was to evaluate the nutrient content consumed by children and adolescents on home-prepared versus chef-prepared specific carbohydrate diets (SCD) as therapy for inflammatory bowel disease (IBD). METHODS Dietary intake of two cohorts with active IBD initiating the SCD over 12 weeks was assessed. The home-prepared cohort received detailed guidance from dietitians on implementation of the SCD. The chef in the other cohort was knowledgeable in the SCD and prepared meals from a fixed set of recipes. Data from 3-day diet diaries at 4 different time points were collected. US Recommended Daily Allowances (RDA) were calculated for macronutrients, vitamins, and minerals. RESULTS Eight participants on the homemade SCD and 5 participants on the chef-prepared SCD were included in analysis. Mean % RDA for energy intake was 115% and 87% for homemade and chef-prepared groups (p<0.01). Mean % RDA for protein intake was 337% for homemade SCD and 216% for chef-prepared SCD (p<0.01). The homemade SCD group had higher mean % RDA values for vitamin A and iron, while the chef-prepared SCD group had higher intake of vitamins B1, B2, D, phosphorus and zinc (p<0.01 for all). CONCLUSION The SCD implemented homemade versus chef-prepared can result in significantly different intake of nutrients and this may influence efficacy of this dietary therapy. Meal preparation dynamics and the motivation of families who pursue dietary treatment may play an important role on the foods consumed and the outcomes on dietary therapy with the SCD.
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Affiliation(s)
- Alex Morrison
- Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - Kimberly Braly
- Division of Gastroenterology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - Namita Singh
- Division of Gastroenterology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - David L Suskind
- Division of Gastroenterology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - Dale Lee
- Division of Gastroenterology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
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Lemacks JL, Abbott LS, Greer T, Gunn R, Bryant A, Bradford L, Ralston PA. The church bridge project focus group results: African American perspectives of weight management programs to improve nutrition and physical activity behaviors. BMC Nutr 2021; 7:39. [PMID: 34275482 PMCID: PMC8287692 DOI: 10.1186/s40795-021-00442-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 05/18/2021] [Indexed: 12/03/2022] Open
Abstract
Background The prevalence of obesity is disproportionately high among African Americans in the Southern US. More information is needed about factors that influence participation in nutrition and physical activity programs to promote healthy weight. Objective The purpose of this study is to explore the weight management perceptions of young to middle aged adult African Americans. Methods The Church Bridge Project intervention participants were recruited for two focus groups. Qualitative data were recorded, transcribed and a thematic content analysis was conducted to identify major themes. Results Barriers included technology learning curve/burden and competing priorities. Facilitators included support, limited cost, convenience, and health. Participants perceived the term “weight management” program as overwhelming and defeating. Conclusion The Church Bridge Project model confirmed social support and disease prevention as key factors for weight management. Further work should substantiate social support as a key factor to guide minority health efforts.
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Affiliation(s)
- Jennifer L Lemacks
- School of Kinesiology and Nutrition, The University of Southern Mississippi, 118 College Drive #5142, Hattiesburg, MS, 39406-0001, USA.
| | - Laurie S Abbott
- College of Nursing, The Florida State University, Tallahassee, MS, USA
| | - Tammy Greer
- School of Psychology, The University of Southern Mississippi, Hattiesburg, MS, USA
| | - Renee Gunn
- School of Kinesiology and Nutrition, The University of Southern Mississippi, 118 College Drive #5142, Hattiesburg, MS, 39406-0001, USA
| | - Ashley Bryant
- School of Kinesiology and Nutrition, The University of Southern Mississippi, 118 College Drive #5142, Hattiesburg, MS, 39406-0001, USA
| | - LaShaundrea Bradford
- School of Kinesiology and Nutrition, The University of Southern Mississippi, 118 College Drive #5142, Hattiesburg, MS, 39406-0001, USA
| | - Penny A Ralston
- Center on Better Health and Life for Undeserved Populations, The Florida State University, Tallahassee, FL, USA
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12
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Relative Validity of MijnEetmeter: A Food Diary App for Self-Monitoring of Dietary Intake. Nutrients 2021; 13:nu13041135. [PMID: 33808209 PMCID: PMC8066644 DOI: 10.3390/nu13041135] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 03/26/2021] [Accepted: 03/26/2021] [Indexed: 11/17/2022] Open
Abstract
This study aimed to evaluate the relative validity of intake of energy, nutrients and food groups assessed with MijnEetmeter food diary as compared to 24-h dietary recalls, and if this differed between experienced and new users. One hundred men and women aged 18–70 y participated, of whom 47 had prior experience with the tool. Participants kept MijnEetmeter on three days. Trained dietitians called them three times for a 24-h dietary recall interview, once recalling food consumption on the same day as the food recording in MijnEetmeter. Systematic differences and correlations were assessed, and Bland–Altman plots were created; both for 3-day mean intakes and for intakes on the same day. Relative to 24-h dietary recalls, MijnEetmeter underestimated consumption of drinks, added fat, cereal products, and potatoes. Relative underestimation was observed for energy intake (6%) and about half of the nutrients. Experienced MijnEetmeter users underestimated intake the least. For intake of energy and six key nutrients, correlations between 3-day mean intakes were above 0.7 except for sodium intake. In conclusion, MijnEetmeter moderately underestimates intakes of energy and some nutrients and food groups. To improve the self-monitoring of dietary intake, it is recommended that the users record food consumption for several days and that the apps probes for easily forgotten foods and drinks.
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Funderburk L, Heileson J, Peterson M, Willoughby DS. Efficacy of L-Leucine Supplementation Coupled with a Calorie-Restricted Diet to Promote Weight Loss in Mid-Life Women. J Am Coll Nutr 2020; 40:699-707. [PMID: 33030983 DOI: 10.1080/07315724.2020.1815607] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVE This study evaluated the effect of leucine supplementation coupled with a calorie-restricted diet over a 12-week period in mid-life overweight and obese women on body composition and resting metabolic rate (RMR). METHOD This study was a randomized, single-blind, placebo-controlled trial in which 34 women were randomly assigned to either 10 g leucine (LEU) or placebo daily, while following a calorie-restricted diet A dual energy x-ray absorptiometry (DXA) analysis, metabolic rate assessment via a BodyGem® and anthropometrics were performed at baseline and after the 12-week study to determine changes in fat mass, lean mass and RMR. Main variables were analyzed using 2 (condition) by 2 (time) mixed design ANOVAs with repeated measures. Odds ratio was calculated by counting the number of individuals gaining or maintaining lean mass (p ≤ .05). RESULTS Both groups lost a significant amount of weight due to both fat and lean mass loss, but there was no significant difference between groups, with RMR remaining unchanged over the course of the study and not significantly different between groups. The loss in lean mass was noticeably less, though not statistically significant (p = 0.644) for the women in the LEU group, with 38% vs. 6%, gaining or retaining lean mass during the intervention relative to the placebo. CONCLUSIONS Our findings demonstrate that a greater proportion of mid-life overweight or obese women taking LEU supplements gained or maintained lean mass during intentional weight loss, though it did not reach a level of statistical significance.
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Affiliation(s)
| | - Jeffery Heileson
- Robbins College of Health and Human Sciences, Baylor University, Waco, Texas, USA
| | - Matthew Peterson
- Robbins College of Health and Human Sciences, Baylor University, Waco, Texas, USA
| | - Darryn S Willoughby
- Robbins College of Health and Human Sciences, Baylor University, Waco, Texas, USA
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14
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Fakih El Khoury C, Crutzen R, Schols JMGA, Halfens RJG, Karavetian M. A Dietary Mobile App for Patients Undergoing Hemodialysis: Prospective Pilot Study to Improve Dietary Intakes. J Med Internet Res 2020; 22:e17817. [PMID: 32706698 PMCID: PMC7399958 DOI: 10.2196/17817] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 05/05/2020] [Accepted: 06/03/2020] [Indexed: 01/26/2023] Open
Abstract
Background Mobile technology has an impact on the health care sector, also within dietetics. Mobile health (mHealth) apps may be used for dietary assessment and self-monitoring, allowing for real-time reporting of food intakes. Changing eating behaviors is quite challenging, and patients undergoing hemodialysis, particularly, struggle to meet the target intakes set by dietary guidelines. Usage of mobile apps that are developed in a person-centered approach and in line with recommendations may support both patients and health care practitioners. Objective This study is a pilot that aims at estimating the potential efficacy of a dietary intervention using a theory-based, person-centered smartphone app. Results will be used to improve both the app and a planned large-scale trial intended to assess app efficacy thoroughly. Methods A prospective pilot study was performed at the hemodialysis unit of Al Qassimi Hospital (The Emirate of Sharjah). All patients that fulfilled the study inclusion criteria were considered eligible to be enrolled in the pilot study. Upon successful installation of the app, users met with a dietitian once a week. Outcomes were measured at baseline (T0) and 2 weeks post app usage (T1). This pilot is reported as per guidelines for nonrandomized pilot and feasibility studies and in line with the CONSORT 2010 checklist for reporting pilot or feasibility trials. Results A total of 23 patients completed the pilot intervention. Mean energy intakes increased from 24.4 kcal/kg/day (SD 8.0) to 29.1 kcal/kg/day (SD 7.8) with a medium effect size (d=0.6, 95% CI 0.0-1.2). Mean protein intakes increased from 0.9 g/kg/day (SD 0.3) to 1.3 g/kg/day (SD 0.5) with a large effect size (d=1.0, 95% CI 0.4-1.6); mean intake of high biological value (%HBV) proteins also increased from 58.6% (SD 10.1) to 70.1% (SD 10.7) with a large effect size (d=1.1, 95% CI 0.5-1.7). Dietary intakes of minerals did not change, apart from sodium which decreased from a mean intake of 2218.8 mg/day (SD 631.6) to 1895.3 mg/day (SD 581.0) with a medium effect size (d=0.5, 95% CI 0.1-1.1). Mean serum phosphorus, potassium, and albumin levels did not change relevantly. Mean serum iron increased from 7.9 mg/dL (SD 2.8) to 11.5 mg/dL (SD 7.9) postintervention with a medium effect size (d=0.6, 95% CI 0.0-1.2). Conclusions This pilot study showed that the KELA.AE app has the potential to improve dietary intakes. Processes related to procedure, resources, tools, and app improvement for a future trial were assessed. A more extended intervention using a randomized controlled trial is required to estimate parameters concerning app efficacy accurately.
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Affiliation(s)
- Cosette Fakih El Khoury
- Department of Health Services Research, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Rik Crutzen
- Department of Health Promotion, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Jos M G A Schols
- Department of Health Services Research, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.,Department of Family Medicine, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Ruud J G Halfens
- Department of Health Services Research, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Mirey Karavetian
- Department of Health Sciences, Zayed University, Dubai, United Arab Emirates
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15
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Reber E, Gomes F, Vasiloglou MF, Schuetz P, Stanga Z. Nutritional Risk Screening and Assessment. J Clin Med 2019; 8:jcm8071065. [PMID: 31330781 PMCID: PMC6679209 DOI: 10.3390/jcm8071065] [Citation(s) in RCA: 168] [Impact Index Per Article: 33.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 07/03/2019] [Accepted: 07/09/2019] [Indexed: 01/04/2023] Open
Abstract
Malnutrition is an independent risk factor that negatively influences patients’ clinical outcomes, quality of life, body function, and autonomy. Early identification of patients at risk of malnutrition or who are malnourished is crucial in order to start a timely and adequate nutritional support. Nutritional risk screening, a simple and rapid first-line tool to detect patients at risk of malnutrition, should be performed systematically in patients at hospital admission. Patients with nutritional risk should subsequently undergo a more detailed nutritional assessment to identify and quantify specific nutritional problems. Such an assessment includes subjective and objective parameters such as medical history, current and past dietary intake (including energy and protein balance), physical examination and anthropometric measurements, functional and mental assessment, quality of life, medications, and laboratory values. Nutritional care plans should be developed in a multidisciplinary approach, and implemented to maintain and improve patients’ nutritional condition. Standardized nutritional management including systematic risk screening and assessment may also contribute to reduced healthcare costs. Adequate and timely implementation of nutritional support has been linked with favorable outcomes such as a decrease in length of hospital stay, reduced mortality, and reductions in the rate of severe complications, as well as improvements in quality of life and functional status. The aim of this review article is to provide a comprehensive overview of nutritional screening and assessment methods that can contribute to an effective and well-structured nutritional management (process cascade) of hospitalized patients.
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Affiliation(s)
- Emilie Reber
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern University Hospital, and University of Bern, Freiburgstrasse 15, 3010 Bern, Switzerland.
| | - Filomena Gomes
- The New York Academy of Sciences, 250 Greenwich Sweet, 40th floor, New York, NY 10007, USA
| | - Maria F Vasiloglou
- Diabetes Technology Research Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Murtenstrasse 50, 3008 Bern, Switzerland
| | - Philipp Schuetz
- Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse 25, 5000 Aarau, Switzerland
- Department for Clinical Research, Medical Faculty, University of Basel, 4001 Basel, Switzerland
| | - Zeno Stanga
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern University Hospital, and University of Bern, Freiburgstrasse 15, 3010 Bern, Switzerland
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Burrows TL, Rollo ME. Advancement in Dietary Assessment and Self-Monitoring Using Technology. Nutrients 2019; 11:nu11071648. [PMID: 31330932 PMCID: PMC6683037 DOI: 10.3390/nu11071648] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Accepted: 07/18/2019] [Indexed: 12/23/2022] Open
Affiliation(s)
- Tracy L Burrows
- School Health Science, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308, Australia.
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW 2308, Australia.
| | - Megan E Rollo
- School Health Science, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308, Australia
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW 2308, Australia
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