scholarly journals Exploring the Feasibility of Use of An Online Dietary Assessment Tool (myfood24) in Women with Gestational Diabetes

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1147 ◽  
Author(s):  
Carla Gianfrancesco ◽  
Zoe Darwin ◽  
Linda McGowan ◽  
Debbie Smith ◽  
Roz Haddrill ◽  
...  

myfood24 is an online 24 hr dietary recall tool developed for nutritional epidemiological research. Its clinical application has been unexplored. This mixed methods study explores the feasibility and usability of myfood24 as a food record in a clinical population, women with gestational diabetes (GDM). Women were asked to complete five myfood24 food records, followed by a user questionnaire (including the System Usability Scale (SUS), a measure of usability), and were invited to participate in a semi-structured interview. Of the 199 participants, the mean age was 33 years, mean booking body mass index (BMI) 29.7 kg/m2, 36% primiparous, 57% White, 33% Asian. Of these, 121 (61%) completed myfood24 at least once and 73 (37%) completed the user questionnaire; 15 were interviewed. The SUS was found to be good (mean 70.9, 95% CI 67.1, 74.6). Interviews identified areas for improvement, including optimisation for mobile devices, and as a clinical management tool. This study demonstrates that myfood24 can be used as an online food record in a clinical population, and has the potential to support self-management in women with GDM. However, results should be interpreted cautiously given the responders’ demographic characteristics. Further research to explore the barriers and facilitators of uptake in people from ethnic minority and lower socioeconomic backgrounds is recommended.

Author(s):  
Carla Gianfrancesco ◽  
Zoe Darwin ◽  
Salwa Albar ◽  
Nisreen Alwan ◽  
Michelle Carter ◽  
...  

myfood24 is a comprehensive self-completed online 24-hour dietary recall tool currently used for nutritional assessments in epidemiological research. However, its clinical application has been unexplored. This mixed methods prospective observational study explores the acceptability and usability of myfood24 in a clinical population, women with gestational diabetes (GDM). Women were recruited at their first diabetes antenatal clinic appointment. To assess acceptability and usability, they were asked to complete five 24-hour dietary recalls using myfood24 over two weeks and a user experience questionnaire; with a subset invited to participate in a one-to-one semi-structured interview. Of the 199 participants, mean maternal age was 33 years, mean booking BMI 29.7kg/m2, 36% primiparous, 57% White, 33% Asian. Of these 121 (61%) completed myfood24 at least once and 73 (37%) completed the user questionnaire; 15 were interviewed. Usability of myfood24 was measured using the System Usability Scale (SUS) and found to be good (mean 70.9, 95%CI 67.1, 74.6). Interviews identified several areas for improvement, including optimising its use for mobile devices. myfood24 appears to be acceptable and have potential to support self-management and behaviour change for women with GDM but requires adaptation to record blood glucose results alongside real-time tracking of diet.


2021 ◽  
Author(s):  
Siena Gioia ◽  
Irma M Vlassac ◽  
Demsina Babazadeh ◽  
Noah L Fryou ◽  
Elizabeth Do ◽  
...  

UNSTRUCTURED Abstract: Over the last decade, health apps have become an increasingly popular tool utilized by clinicians and researchers to track food consumption and exercise. However, as consumer apps have primarily focused on tracking dietary intake and exercise, many lack technological features to facilitate the capture of critical food timing details. To determine a viable app that recorded both dietary intake and food timing for use in our clinical study, we evaluated the timestamp data, usability, privacy policies, accuracy of nutrient estimates, and general features of 11 mobile apps for dietary assessment. Apps were selected using a keyword search of related terms and the following apps were reviewed: Bitesnap, Cronometer, DiaryNutrition, DietDiary, FoodDiary, FoodView, Macros, MealLogger, myCircadianClock, MyFitnessPal, and MyPlate. Our primary goal was identifying apps that record food timestamps, which 8 of the reviewed apps did (73%). Of those, only 4/11 (36%) allowed users to edit the timestamps, an important feature. Next, we sought to evaluate the usability of the apps, using the System Usability Scale (SUS) across 2 days, with 82% of the apps receiving favorable scores for usability (9/11 apps). To enable use in research and clinic settings, the privacy policies of each app were systematically reviewed using common criteria with 1 Health Insurance Portability and Accountability Act (HIPAA) compliant app (Cronometer). Furthermore, protected health information is collected by 9/11 (81%) of the apps. Lastly, to assess the accuracy of nutrient estimates generated by these apps, we selected 4 sample food items and one researcher’s 3-day dietary record to input into each app. The caloric and macronutrient estimates of the apps were compared to nutrient estimates provided by a registered dietitian using the Nutrition Data System for Research (NDSR). Compared to the 3-day food record, the apps were found to consistently underestimate calories and macronutrients compared to NDSR. Overall, we find the Bitesnap app to provide flexible dietary and food timing functionality capable for research or clinical use with the majority of apps lacking in necessary food timing functionality or user privacy.


2009 ◽  
Vol 12 (2) ◽  
pp. 222-227 ◽  
Author(s):  
Vivienne A Vance ◽  
Sarah J Woodruff ◽  
Linda J McCargar ◽  
Janice Husted ◽  
Rhona M Hanning

AbstractObjectiveThe purpose of the present paper was to assess dietary energy reporting as a function of sex and weight status among Ontario and Alberta adolescents, using the ratio of energy intake (EI) to estimated BMR (BMRest).DesignData were collected using the FBQ, a validated web-based dietary assessment tool (including a 24 h dietary recall, FFQ, and food and physical activity behavioural questions). BMI was calculated from self-reported height and weight and participants were classified as normal weight, overweight or obese. BMR was calculated using the WHO equations (based on weight). Reporting status was identified using the ratio EI:BMRest.SettingData were collected in public, Catholic and private schools in Ontario and Alberta, Canada.SubjectsA total of 1917 (n876 male andn1041 female) students (n934 grade 9 andn984 grade 10) participated.ResultsThe mean EI:BMRestratio across all participants was 1·4 (sd0·6), providing evidence of under-reporting for the total sample. Females under-reported more than males (t= 6·27,P< 0·001), and under-reporting increased with increasing weight status for both males (F= 33·21,P< 0·001) and females (F= 14·28,P< 0·001). After removing those who reported eating less to lose weight, the EI:BMRestwas 1·56 (sd0·6) for males and 1·4 (sd0·6) for females.ConclusionThe present study highlights methodological challenges associated with self-reported dietary data. Systematic differences in under-reporting of dietary intake by gender and weight status were observed using a web-based survey, similar to observations made using paper-based 24 h recalls and dietitian interviews.


2021 ◽  
Author(s):  
Clare Whitton ◽  
Janelle D Healy ◽  
Clare E Collins ◽  
Barbara Mullan ◽  
Megan E Rollo ◽  
...  

BACKGROUND The assessment of dietary intake underpins population nutrition surveillance and nutritional epidemiology and is essential to inform effective public health policies and programs. Technological advances in dietary assessment that use images and automated methods have the potential to improve accuracy, respondent burden, and cost; however, they need to be evaluated to inform large-scale use. OBJECTIVE The aim of this study is to compare the accuracy, acceptability, and cost-effectiveness of 3 technology-assisted 24-hour dietary recall (24HR) methods relative to observed intake across 3 meals. METHODS Using a controlled feeding study design, 24HR data collected using 3 methods will be obtained for comparison with observed intake. A total of 150 healthy adults, aged 18 to 70 years, will be recruited and will complete web-based demographic and psychosocial questionnaires and cognitive tests. Participants will attend a university study center on 3 separate days to consume breakfast, lunch, and dinner, with unobtrusive documentation of the foods and beverages consumed and their amounts. Following each feeding day, participants will complete a 24HR process using 1 of 3 methods: the Automated Self-Administered Dietary Assessment Tool, Intake24, or the Image-Assisted mobile Food Record 24-Hour Recall. The sequence of the 3 methods will be randomized, with each participant exposed to each method approximately 1 week apart. Acceptability and the preferred 24HR method will be assessed using a questionnaire. Estimates of energy, nutrient, and food group intake and portion sizes from each 24HR method will be compared with the observed intake for each day. Linear mixed models will be used, with 24HR method and method order as fixed effects, to assess differences in the 24HR methods. Reporting bias will be assessed by examining the ratios of reported 24HR intake to observed intake. Food and beverage omission and intrusion rates will be calculated, and differences by 24HR method will be assessed using chi-square tests. Psychosocial, demographic, and cognitive factors associated with energy misestimation will be evaluated using chi-square tests and multivariable logistic regression. The financial costs, time costs, and cost-effectiveness of each 24HR method will be assessed and compared using repeated measures analysis of variance tests. RESULTS Participant recruitment commenced in March 2021 and is planned to be completed by the end of 2021. CONCLUSIONS This protocol outlines the methodology of a study that will evaluate the accuracy, acceptability, and cost-effectiveness of 3 technology-enabled dietary assessment methods. This will inform the selection of dietary assessment methods in future studies on nutrition surveillance and epidemiology. CLINICALTRIAL Australian New Zealand Clinical Trials Registry ACTRN12621000209897; https://tinyurl.com/2p9fpf2s INTERNATIONAL REGISTERED REPORT DERR1-10.2196/32891


Nutrients ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 132 ◽  
Author(s):  
Julia Kupis ◽  
Sydney Johnson ◽  
Gregory Hallihan ◽  
Dana Olstad

The Automated Self-Administered Dietary Assessment Tool (ASA24) is a web-based tool that guides participants through completion of a 24-h dietary recall and automatically codes the data. Despite the advantages of automation, eliminating interviewer contact may diminish data quality. Usability testing can assess the extent to which individuals can use the ASA24 to report dietary intake with efficiency, effectiveness, and satisfaction. This mixed-methods study evaluated the usability of the ASA24 to quantify user performance and to examine qualitatively usability issues in a sample of low-income adults (85% female, 48.2 years on average) participating in a nutrition coupon program. Thirty-nine participants completed a 24-h dietary recall using the ASA24. Audio and screen recordings, and survey responses were analyzed to calculate task times, success rates, and usability issue frequency. Qualitative data were analyzed thematically to characterize usability issues. Only one participant was able to complete a dietary recall unassisted. We identified 286 usability issues within 22 general usability categories, including difficulties using the search function, misunderstanding questions, and uncertainty regarding how to proceed to the next step; 71.4% of participants knowingly misentered dietary information at least once. Usability issues may diminish participation rates and compromise the quality of ASA24 dietary intake data. Researchers should provide on-demand technical support and designers should improve the intelligence and flexibility of the ASA24’s search functionality.


2013 ◽  
Vol 111 (1) ◽  
pp. 160-171 ◽  
Author(s):  
Carrie R. Daniel ◽  
Kavita Kapur ◽  
Mary J. McAdams ◽  
Sujata Dixit-Joshi ◽  
Niveditha Devasenapathy ◽  
...  

Studies of diet and disease risk in India and among other Asian-Indian populations are hindered by the need for a comprehensive dietary assessment tool to capture data on the wide variety of food and nutrient intakes across different regions and ethnic groups. The nutritional component of the India Health Study, a multicentre pilot cohort study, included 3908 men and women, aged 35–69 years, residing in three regions of India (New Delhi in the north, Mumbai in the west and Trivandrum in the south). We developed a computer-based, interviewer-administered dietary assessment software known as the ‘NINA-DISH (New Interactive Nutrition Assistant – Diet in India Study of Health)’, which consisted of four sections: (1) a diet history questionnaire with defined questions on frequency and portion size; (2) an open-ended section for each mealtime; (3) a food-preparer questionnaire; (4) a 24 h dietary recall. Using the preferred meal-based approach, frequency of intake and portion size were recorded and linked to a nutrient database that we developed and modified from a set of existing international databases containing data on Indian foods and recipes. The NINA-DISH software was designed to be easily adaptable and was well accepted by the interviewers and participants in the field. A predominant three-meal eating pattern emerged; however, patterns in the number of foods reported and the primary contributors to macro- and micronutrient intakes differed by region and demographic factors. The newly developed NINA-DISH software provides a much-needed tool for measuring diet and nutrient profiles across the diverse populations of India with the potential for application in other South Asian populations living throughout the world.


2021 ◽  
pp. 1-13
Author(s):  
Zeynep Göktaş ◽  
Derya Dikmen ◽  
Neslişah Rakıcıoğlu

Abstract Objective: The purpose of this study was to assess the validity of MEDFICTS (Meats, Eggs, Dairy, Fried foods, fat In baked goods, Convenience foods, fats added at the Table, Snacks) questionnaire in Turkish population. Design: MEDFICTS questionnaire is a brief dietary assessment tool developed as part of the National Cholesterol Education Program (NCEP) Adult Treatment Panel (ATP) guidelines and it measures the adherence to Step 1 and Step 2 diets that are recommended for the prevention and treatment of cardiovascular diseases (CVD). MEDFICTS questionnaire was administered with 3-day food record to compare overall dietary fat intake. Setting: This study was conducted at the Hacettepe University (Ankara, Turkey) in 2017. Participants: Subjects were university students, recruited from several departments of Hacettepe University by trained dietitians. A total of 442 adults (249 females and 194 males) between the ages of 18-31 years participated in the study. Students with CVD were excluded. Results: Total fat intake ratio was higher than the recommended level for both males and females (39.4% and 39.9%, respectively). Mean MEDCISTS score was 66.3 ± 27.24 points. Total energy, total fat, SFA, and cholesterol intakes from 3-day food records within the different MEDFICTS diet groups significantly differed (p<0.001 for all). Receiver operating characteristics (ROC) curve analysis demonstrated that a cut-off point of 60 showed 80% sensitivity and 65% specificity. Conclusions: Our data indicates that MEDFICTS questionnaire is moderately accurate, however, sensitivity analysis did not demonstrate the recommended 40 points as an optimal cut-off point for Turkish population.


2021 ◽  
Vol 50 (6) ◽  
pp. 1697-1705
Author(s):  
Nur Fadzlina Zulkefli ◽  
Ming Moy Foong

Adopting a sustainable diet is an alternative to address the pandemics of obesity, undernutrition and climate change that are threatening human health. Sustainable diet considers the health aspect as well as the environmental impact of diets. There is a scarcity of research on sustainable diet and lack validated tools for its measurement. This article aimed to describe the protocol on the development and validation of a Sustainable Diet Index (SDI) among Malaysian adults. A Sustainable Diet Index (SDI) was developed based on previous studies and available dietary guidelines on sustainable diet. Five indicators (rice, animal-based food, plant-based food, food waste and packaging) were included in the SDI. The index will be validated among Malaysian adults using mobile food record as the dietary assessment tool. The index has the potential to measure the level of healthy and sustainable diet behaviour of an individual. The use of mobile food record provides images of each eating occasion for the evaluation of serving size and the information on waste management. Health and environmental impacts from the diet can be evaluated through the integration of all indicators in the SDI. The index developed is novel and expected to provide a feasible measurement to assess the level of sustainable diet of an individual.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Karen Mumme ◽  
Cath Conlon ◽  
Pamela von Hurst ◽  
Beatrix Jones ◽  
Jamie de Seymour ◽  
...  

Abstract Background Valid and reproducible dietary patterns (DP) are necessary to assess relationships between diet and disease. This study, Researching Eating, Activity, and Cognitive Health (REACH), assessed the reproducibility and relative validity of DPs derived from a food frequency questionnaire (FFQ) in older New Zealand adults. Methods Participants (n = 294, 70±3yrs, 37% male), completed two identical 109-item FFQs to assess reproducibility. A 4-day food record (4DFR) was used to assess relative validity. After collapsing data into 57 food groups, DPs were derived using principal component analysis. Agreement of DP loadings were assessed using Tucker’s congruence coefficient. Agreement between derived DP scores from the FFQs and 4-DFR were assessed using Spearman correlation coefficients, weighted kappa statistic, and Bland-Altman analysis. Results Three similar DPs (‘Mediterranean style’, ‘Western’ and ‘prudent’) were identified from each dietary assessment tool. Congruence coefficients between DP loadings ranged from 0.66-0.80 (reproducibility) and 0.54-0.75 (validity). Correlations of DP scores ranged from 0.47-0.59 (reproducibility) and 0.33-0.43 (validity) (all P&lt;0.001); weighted kappa scores ranged from 0.40-0.48 (reproducibility) and 0.27-0.37 (validity); limits of agreement from ±1.79 to ± 2.09 (reproducibility) and ±2.09 to ± 2.27 (validity); a negative slope of bias was seen in the ‘prudent’ pattern for reproducibility and validity (P&lt;0.001). Conclusions The FFQ derived DPs demonstrated acceptable reproducibility and relative validity and can be used to examine associations between DPs and health outcomes in older New Zealand adults. Key Message Valid DPs improve evidence for assessing DP and health outcome associations.


Sign in / Sign up

Export Citation Format

Share Document