1
|
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.
Collapse
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
| |
Collapse
|
2
|
Lozano-Lozano M, Cantarero-Villanueva I, Martin-Martin L, Galiano-Castillo N, Sanchez MJ, Fernández-Lao C, Postigo-Martin P, Arroyo-Morales M. A Mobile System to Improve Quality of Life Via Energy Balance in Breast Cancer Survivors (BENECA mHealth): Prospective Test-Retest Quasiexperimental Feasibility Study. JMIR Mhealth Uhealth 2019; 7:e14136. [PMID: 31237570 PMCID: PMC6614997 DOI: 10.2196/14136] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 05/13/2019] [Accepted: 05/16/2019] [Indexed: 02/06/2023] Open
Abstract
Background Energy balance is defined as the difference between energy expenditure and energy intake. The current state of knowledge supports the need to better integrate mechanistic approaches through effective studies of energy balance in the cancer population because of an observed significant lack of adherence to healthy lifestyle recommendations. To stimulate changes in breast cancer survivors’ lifestyles based on energy balance, our group developed the BENECA (Energy Balance on Cancer) mHealth app. BENECA has been previously validated as a reliable energy balance monitoring system. Objective Based on our previous results, the goal of this study was to investigate the feasibility of BENECA mHealth in an ecological clinical setting with breast cancer survivors, by studying (1) its feasibility and (2) pretest-posttest differences with regard to breast cancer survivor lifestyles, quality of life (QoL), and physical activity (PA) motivation. Methods Eighty breast cancer survivors diagnosed with stage I to IIIA and with a body mass index over 25 kg/m2 were enrolled in this prospective test-retest quasi-experimental study. Patients used BENECA mHealth for 8 weeks and were assessed at baseline and the postintervention period. Feasibility main outcomes included percentage of adoption, usage, and attrition; user app quality perception measured with the Mobile App Rating Scale (MARS); satisfaction with the Net Promoter Score (NPS); and barriers and facilitators of its use. Clinical main outcomes included measuring QoL with the European Organization for Research and Treatment of Cancer QoL Questionnaire Core 30 (EORT QLQ-C30), PA assessment with accelerometry, PA motivation measure with a Spanish self-efficacy scale for physical activity (EAF), and body composition with dual-energy x-ray absorptiometry. Statistical tests (using paired-sample t tests) and Kaplan-Meier survival curves were analyzed. Results BENECA was considered feasible by the breast cancer survivors in terms of use (76%, 58/76), adoption (69%, 80/116), and satisfaction (positive NPS). The app quality score did not make it one of the best-rated apps (mean 3.71, SD 0.47 points out of 5). BENECA mHealth improved the QoL of participants (global health mean difference [MD] 12.83, 95% CI 8.95-16.71, P<.001), and EAF score (global MD 36.99, 95% CI 25.52-48.46, P<.001), daily moderate-to-vigorous PA (MD 7.38, 95% CI 0.39-14.37, P=.04), and reduced body weight (MD −1.42, 95% CI −1.97 to −0.87, P<.001). Conclusions BENECA mHealth can be considered feasible in a real clinical context to promote behavioral changes in the lifestyles of breast cancer survivors, but it needs to be enhanced to improve user satisfaction with use and functionality. This study highlights the importance of the use of mobile apps based on energy balance and how the QoL of breast cancer survivors can be improved via monitoring.
Collapse
Affiliation(s)
- Mario Lozano-Lozano
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Biohealth Research Institute in Granada, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| | - Irene Cantarero-Villanueva
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Biohealth Research Institute in Granada, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| | - Lydia Martin-Martin
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Biohealth Research Institute in Granada, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| | - Noelia Galiano-Castillo
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Biohealth Research Institute in Granada, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| | - Maria-José Sanchez
- Biohealth Research Institute in Granada, Granada, Spain.,Andalusian School of Public Health, Granada, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
| | - Carolina Fernández-Lao
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Biohealth Research Institute in Granada, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| | - Paula Postigo-Martin
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| | - Manuel Arroyo-Morales
- Department of Physical Therapy, Faculty of Health Sciences, University of Granada, Granada, Spain.,Sport and Health University Research Institute, Granada, Spain.,Biohealth Research Institute in Granada, Granada, Spain.,Cuidate-Support Unit for Oncology Patients, Granada, Spain
| |
Collapse
|
3
|
Hooson Jzh J, Hutchinson Jyh J, Warthon-Medina M, Hancock N, Greathead K, Knowles B, Vargas-Garcia E, Gibson LE, Bush LA, Margetts B, Robinson S, Ness A, Alwan NA, Wark PA, Roe M, Finglas P, Steer T, Page P, Johnson L, Roberts K, Amoutzopoulos B, Burley VJ, Greenwood DC, Cade JE. A systematic review of reviews identifying UK validated dietary assessment tools for inclusion on an interactive guided website for researchers: www.nutritools.org. Crit Rev Food Sci Nutr 2019; 60:1265-1289. [PMID: 30882230 PMCID: PMC7114915 DOI: 10.1080/10408398.2019.1566207] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background: Health researchers may struggle to choose suitable validated dietary assessment tools (DATs) for their target population. The aim of this review was to identify and collate information on validated UK DATs and validation studies for inclusion on a website to support researchers to choose appropriate DATs.Design: A systematic review of reviews of DATs was undertaken. DATs validated in UK populations were extracted from the studies identified. A searchable website was designed to display these data. Additionally, mean differences and limits of agreement between test and comparison methods were summarized by a method, weighting by sample size.Results: Over 900 validation results covering 5 life stages, 18 nutrients, 6 dietary assessment methods, and 9 validation method types were extracted from 63 validated DATs which were identified from 68 reviews. These were incorporated into www.nutritools.org. Limits of agreement were determined for about half of validations. Thirty four DATs were FFQs. Only 17 DATs were validated against biomarkers, and only 19 DATs were validated in infant/children/adolescents.Conclusions: The interactive www.nutritools.org website holds extensive validation data identified from this review and can be used to guide researchers to critically compare and choose a suitable DAT for their research question, leading to improvement of nutritional epidemiology research.
Collapse
Affiliation(s)
- Jozef Hooson Jzh
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Jayne Hutchinson Jyh
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Marisol Warthon-Medina
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK.,Food Databanks National Capability, Quadram Institute Bioscience, Norwich, UK
| | - Neil Hancock
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Katharine Greathead
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Bethany Knowles
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Elisa Vargas-Garcia
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Lauren E Gibson
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Linda A Bush
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Barrie Margetts
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Sian Robinson
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Andy Ness
- NIHR Biomedical Research Unit in Nutrition, Diet and Lifestyle, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Nisreen A Alwan
- NIHR Biomedical Research Unit in Nutrition, Diet and Lifestyle, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK.,Academic Unit of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Petra A Wark
- Centre for Innovative Research Across the Life Course (CIRAL), Faculty of Health and Life Sciences, Coventry University, Coventry, UK.,Global eHealth Unit, Department of Primary Care and Public Health, Imperial College London, London, UK
| | - Mark Roe
- Food Databanks National Capability, Quadram Institute Bioscience, Norwich, UK.,EuroFIR AISBL, Brussels, Belgium
| | - Paul Finglas
- Food Databanks National Capability, Quadram Institute Bioscience, Norwich, UK
| | - Toni Steer
- MRC Elsie Widdowson Laboratory, Cambridge, UK
| | - Polly Page
- MRC Elsie Widdowson Laboratory, Cambridge, UK
| | - Laura Johnson
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Katharine Roberts
- Public Health Section, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.,Public Health England, London, UK
| | | | - Victoria J Burley
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Darren C Greenwood
- Faculty of Medicine and Health Division of Biostatistics, University of Leeds, Leeds, UK
| | - Janet E Cade
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
| |
Collapse
|
4
|
Eldridge AL, Piernas C, Illner AK, Gibney MJ, Gurinović MA, de Vries JHM, Cade JE. Evaluation of New Technology-Based Tools for Dietary Intake Assessment-An ILSI Europe Dietary Intake and Exposure Task Force Evaluation. Nutrients 2018; 11:E55. [PMID: 30597864 PMCID: PMC6356426 DOI: 10.3390/nu11010055] [Citation(s) in RCA: 112] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 12/20/2018] [Accepted: 12/25/2018] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND New technology-based dietary assessment tools, including Web-based programs, mobile applications, and wearable devices, may improve accuracy and reduce costs of dietary data collection and processing. The International Life Sciences Institute (ILSI) Europe Dietary Intake and Exposure Task Force launched this project to evaluate new tools in order to recommend general quality standards for future applications. METHODS A comprehensive literature search identified technology-based dietary assessment tools, including those published in English from 01/2011 to 09/2017, and providing details on tool features, functions and uses. Each of the 43 tools identified (33 for research and 10 designed for consumer use) was rated on 25 attributes. RESULTS Most of the tools identified (79%) relied on self-reported dietary intakes. Most (91%) used text entry and 33% used digital images to help identify foods. Only 65% had integrated databases for estimating energy or nutrients. Fewer than 50% contained any features of customization and about half generated automatic reports. Most tools reported on usability or reported validity compared with another assessment method (77%). A set of Best Practice Guidelines was developed for reporting dietary assessment tools using new technology. CONCLUSIONS Dietary assessment methods that utilize technology offer many advantages for research and are often preferable to consumers over more traditional methods. In order to meet general quality standards, new technology tools require detailed publications describing tool development, food identification and quantification, customization, outputs, food composition tables used, and usability/validity testing.
Collapse
Affiliation(s)
- Alison L Eldridge
- Nestlé Research, Vers-chez-les-Blanc, 1000 Lausanne 26, Switzerland.
| | - Carmen Piernas
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK.
| | - Anne-Kathrin Illner
- College of Health Sciences, Polytechnic Institute UniLaSalle Beauvais, 60026 Beauvais, France.
| | - Michael J Gibney
- Institute of Food and Health, University College Dublin, Dublin D04 V1W8, Ireland.
| | - Mirjana A Gurinović
- Centre of Research Excellence in Nutrition and Metabolism, Institute for Medical Research, University of Belgrade, Belgrade 11000, Serbia.
| | - Jeanne H M de Vries
- Division of Human Nutrition and Health, Wageningen University, 6708WE Wageningen, The Netherlands.
| | - Janet E Cade
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK.
| |
Collapse
|
5
|
Lozano-Lozano M, Galiano-Castillo N, Martín-Martín L, Pace-Bedetti N, Fernández-Lao C, Arroyo-Morales M, Cantarero-Villanueva I. Monitoring Energy Balance in Breast Cancer Survivors Using a Mobile App: Reliability Study. JMIR Mhealth Uhealth 2018; 6:e67. [PMID: 29588273 PMCID: PMC5893887 DOI: 10.2196/mhealth.9669] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2017] [Revised: 01/25/2018] [Accepted: 01/26/2018] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The majority of breast cancer survivors do not meet recommendations in terms of diet and physical activity. To address this problem, we developed a mobile health (mHealth) app for assessing and monitoring healthy lifestyles in breast cancer survivors, called the Energy Balance on Cancer (BENECA) mHealth system. The BENECA mHealth system is a novel and interactive mHealth app, which allows breast cancer survivors to engage themselves in their energy balance monitoring. BENECA was designed to facilitate adherence to healthy lifestyles in an easy and intuitive way. OBJECTIVE The objective of the study was to assess the concurrent validity and test-retest reliability between the BENECA mHealth system and the gold standard assessment methods for diet and physical activity. METHODS A reliability study was conducted with 20 breast cancer survivors. In the study, tri-axial accelerometers (ActiGraphGT3X+) were used as gold standard for 8 consecutive days, in addition to 2, 24-hour dietary recalls, 4 dietary records, and sociodemographic questionnaires. Two-way random effect intraclass correlation coefficients, a linear regression-analysis, and a Passing-Bablok regression were calculated. RESULTS The reliability estimates were very high for all variables (alpha≥.90). The lowest reliability was found in fruit and vegetable intakes (alpha=.94). The reliability between the accelerometer and the dietary assessment instruments against the BENECA system was very high (intraclass correlation coefficient=.90). We found a mean match rate of 93.51% between instruments and a mean phantom rate of 3.35%. The Passing-Bablok regression analysis did not show considerable bias in fat percentage, portions of fruits and vegetables, or minutes of moderate to vigorous physical activity. CONCLUSIONS The BENECA mHealth app could be a new tool to measure energy balance in breast cancer survivors in a reliable and simple way. Our results support the use of this technology to not only to encourage changes in breast cancer survivors' lifestyles, but also to remotely monitor energy balance. TRIAL REGISTRATION ClinicalTrials.gov NCT02817724; https://clinicaltrials.gov/ct2/show/NCT02817724 (Archived by WebCite at http://www.webcitation.org/6xVY1buCc).
Collapse
Affiliation(s)
- Mario Lozano-Lozano
- Department of Physical Therapy, University of Granada, Granada, Spain.,Centro de Investigación Deporte y Salud, University of Granada, Granada, Spain
| | - Noelia Galiano-Castillo
- Department of Physical Therapy, University of Granada, Granada, Spain.,Centro de Investigación Deporte y Salud, University of Granada, Granada, Spain.,Instituto de Investigación Biosanitaria ibs-Granada, Complejo Hospitalario Universitario de Granada, University of Granada, Granada, Spain
| | - Lydia Martín-Martín
- Department of Physical Therapy, University of Granada, Granada, Spain.,Instituto de Investigación Biosanitaria ibs-Granada, Complejo Hospitalario Universitario de Granada, University of Granada, Granada, Spain
| | | | - Carolina Fernández-Lao
- Department of Physical Therapy, University of Granada, Granada, Spain.,Centro de Investigación Deporte y Salud, University of Granada, Granada, Spain.,Instituto de Investigación Biosanitaria ibs-Granada, Complejo Hospitalario Universitario de Granada, University of Granada, Granada, Spain
| | - Manuel Arroyo-Morales
- Department of Physical Therapy, University of Granada, Granada, Spain.,Centro de Investigación Deporte y Salud, University of Granada, Granada, Spain.,Instituto de Investigación Biosanitaria ibs-Granada, Complejo Hospitalario Universitario de Granada, University of Granada, Granada, Spain
| | - Irene Cantarero-Villanueva
- Department of Physical Therapy, University of Granada, Granada, Spain.,Centro de Investigación Deporte y Salud, University of Granada, Granada, Spain.,Instituto de Investigación Biosanitaria ibs-Granada, Complejo Hospitalario Universitario de Granada, University of Granada, Granada, Spain
| |
Collapse
|
6
|
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.
Collapse
|
7
|
Lozano-Lozano M, Martín-Martín L, Galiano-Castillo N, Álvarez-Salvago F, Cantarero-Villanueva I, Fernández-Lao C, Sánchez-Salado C, Arroyo-Morales M. Integral strategy to supportive care in breast cancer survivors through occupational therapy and a m-health system: design of a randomized clinical trial. BMC Med Inform Decis Mak 2016; 16:150. [PMID: 27887610 PMCID: PMC5124301 DOI: 10.1186/s12911-016-0394-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 11/22/2016] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Technological support using e-health mobile applications (m-health) is a promising strategy to improve the adherence to healthy lifestyles in breast cancer survivors (excess in energy intake or low physical activity are determinants of the risk of recurrence, second cancers and cancer mortality). Moreover, cancer rehabilitation programs supervised by health professionals are needed due to the inherent characteristics of these breast cancer patients. Our main objective is to compare the clinical efficacy of a m-health lifestyle intervention system alone versus an integral strategy to improve Quality of Life in breast cancer survivors. METHODS This therapeutic superiority study will use a two-arm, assessor blinded parallel RCT design. Women will be eligible if: they are diagnosed of stage I, II or III-A breast cancer; are between 25 and 75 years old; have a Body Mass Index > 25 kg/m2; they have basic ability to use mobile apps; they had completed adjuvant therapy except for hormone therapy; and they have some functional shoulder limitations. Participants will be randomized to one of the following groups: integral group will use a mobile application (BENECA APP) and will receive a face-to-face rehabilitation (8-weeks); m-health group will use the BENECA app for 2-months and will received usual care information. Study endpoints will be assessed after 8 weeks and 6 months. The primary outcome will be Quality of Life measured by The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core and breast module. The secondary outcomes: body composition; upper-body functionality (handgrip, Disability of the Arm, Shoulder and Hand questionnaire, goniometry); cognitive function (Wechsler Adult Intelligence Scale, Trail Making Test); anxiety and depression (Hospital Anxiety and Depression Scale); physical fitness (Short version of the Minnesota Leisure Time Physical Activity Questionnaire, Self-Efficacy Scale for Physical Activity); accelerometry and lymphedema. DISCUSSION This study has been designed to seek to address the new needs for support and treatment of breast cancer survivors, reflecting the emerging need to merge new low cost treatment options with much-needed involvement of health professionals in this type of patients. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02817724 (date of registration: 22/06/2016).
Collapse
Affiliation(s)
- Mario Lozano-Lozano
- Department Physical Therapy, University of Granada, Granada, Spain.,Mixed University Sport and Health Institute (iMUDS), Granada, Spain
| | | | - Noelia Galiano-Castillo
- Department Physical Therapy, University of Granada, Granada, Spain.,Institute for Biomedical Research ibs.GRANADA, University Hospital Complex of Granada/ University of Granada, Granada, Spain
| | | | - Irene Cantarero-Villanueva
- Department Physical Therapy, University of Granada, Granada, Spain.,Mixed University Sport and Health Institute (iMUDS), Granada, Spain.,Institute for Biomedical Research ibs.GRANADA, University Hospital Complex of Granada/ University of Granada, Granada, Spain
| | - Carolina Fernández-Lao
- Department Physical Therapy, University of Granada, Granada, Spain.,Mixed University Sport and Health Institute (iMUDS), Granada, Spain.,Institute for Biomedical Research ibs.GRANADA, University Hospital Complex of Granada/ University of Granada, Granada, Spain
| | | | - Manuel Arroyo-Morales
- Department Physical Therapy, University of Granada, Granada, Spain. .,Mixed University Sport and Health Institute (iMUDS), Granada, Spain. .,Institute for Biomedical Research ibs.GRANADA, University Hospital Complex of Granada/ University of Granada, Granada, Spain.
| |
Collapse
|
8
|
Agreement between an online dietary assessment tool (myfood24) and an interviewer-administered 24-h dietary recall in British adolescents aged 11-18 years. Br J Nutr 2016; 115:1678-86. [PMID: 26975650 DOI: 10.1017/s0007114516000593] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
myfood24 Is an online 24-h dietary assessment tool developed for use among British adolescents and adults. Limited information is available regarding the validity of using new technology in assessing nutritional intake among adolescents. Thus, a relative validation of myfood24 against a face-to-face interviewer-administered 24-h multiple-pass recall (MPR) was conducted among seventy-five British adolescents aged 11-18 years. Participants were asked to complete myfood24 and an interviewer-administered MPR on the same day for 2 non-consecutive days at school. Total energy intake (EI) and nutrients recorded by the two methods were compared using intraclass correlation coefficients (ICC), Bland-Altman plots (using between and within-individual information) and weighted κ to assess the agreement. Energy, macronutrients and other reported nutrients from myfood24 demonstrated strong agreement with the interview MPR data, and ICC ranged from 0·46 for Na to 0·88 for EI. There was no significant bias between the two methods for EI, macronutrients and most reported nutrients. The mean difference between myfood24 and the interviewer-administered MPR for EI was -230 kJ (-55 kcal) (95 % CI -490, 30 kJ (-117, 7 kcal); P=0·4) with limits of agreement ranging between 39 % (3336 kJ (-797 kcal)) lower and 34 % (2874 kJ (687 kcal)) higher than the interviewer-administered MPR. There was good agreement in terms of classifying adolescents into tertiles of EI (κ w =0·64). The agreement between day 1 and day 2 was as good for myfood24 as for the interviewer-administered MPR, reflecting the reliability of myfood24. myfood24 Has the potential to collect dietary data of comparable quality with that of an interviewer-administered MPR.
Collapse
|
9
|
Abstract
PURPOSE OF REVIEW Both dietary and nondietary factors contribute to iron deficiency, the most common nutritional deficiency worldwide. Identifying dietary factors associated with iron deficiency is challenging due to the number of components in food affecting iron absorption. This review describes recent advances in dietary approaches to assessing iron-related nutrition. RECENT FINDINGS Most research investigating the relationship between dietary intake and iron deficiency has focussed on individual foods and nutrients, despite several components in foods influencing iron absorption. More recently, studies have considered the overall diet and combinations of foods eaten, through the analysis of dietary patterns and practices. This includes the development and validation of dietary assessment tools to assess iron-related dietary patterns. SUMMARY Dietary pattern analysis which considers the whole diet and combinations of foods eaten may enhance our understanding of how diet impacts on iron deficiency. The analysis of dietary patterns offers an alternative and complementary approach to the traditional focus on individual foods and nutrients when investigating dietary factors associated with iron deficiency.
Collapse
Affiliation(s)
- Kathryn L Beck
- aInstitute of Food Nutrition and Human Health, Massey University, North Shore City bDepartment of Human Nutrition, University of Otago, Dunedin, New Zealand
| | | |
Collapse
|