Feasibility study of an Online 24-hr Dietary Assessment Tool: myfood24, in a clinical population

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.

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

Nutrients ◽

10.3390/nu10091147 ◽

2018 ◽

Vol 10 (9) ◽

pp. 1147 ◽

Cited By ~ 4

Author(s):

Carla Gianfrancesco ◽

Zoe Darwin ◽

Linda McGowan ◽

Debbie Smith ◽

Roz Haddrill ◽

...

Keyword(s):

Gestational Diabetes ◽

Assessment Tool ◽

Dietary Assessment ◽

Structured Interview ◽

Clinical Population ◽

Management Tool ◽

Food Record ◽

Dietary Recall ◽

Lower Socioeconomic ◽

System Usability Scale

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.

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Self-reported dietary energy intake of normal weight, overweight and obese adolescents

Public Health Nutrition ◽

10.1017/s1368980008003108 ◽

2009 ◽

Vol 12 (2) ◽

pp. 222-227 ◽

Cited By ~ 54

Author(s):

Vivienne A Vance ◽

Sarah J Woodruff ◽

Linda J McCargar ◽

Janice Husted ◽

Rhona M Hanning

Keyword(s):

Energy Intake ◽

Weight Status ◽

Assessment Tool ◽

Dietary Assessment ◽

Total Sample ◽

Normal Weight ◽

Dietary Energy ◽

Web Based ◽

Dietary Recall ◽

The Mean

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.

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Assessing the Usability of the Automated Self-Administered Dietary Assessment Tool (ASA24) among Low-Income Adults

Nutrients ◽

10.3390/nu11010132 ◽

2019 ◽

Vol 11 (1) ◽

pp. 132 ◽

Cited By ~ 8

Author(s):

Julia Kupis ◽

Sydney Johnson ◽

Gregory Hallihan ◽

Dana Olstad

Keyword(s):

Dietary Intake ◽

Low Income ◽

Assessment Tool ◽

Dietary Assessment ◽

Success Rates ◽

Web Based ◽

Dietary Recall ◽

Usability Issue ◽

Survey Responses

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.

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Development of a field-friendly automated dietary assessment tool and nutrient database for India

British Journal Of Nutrition ◽

10.1017/s0007114513001864 ◽

2013 ◽

Vol 111 (1) ◽

pp. 160-171 ◽

Cited By ~ 12

Author(s):

Carrie R. Daniel ◽

Kavita Kapur ◽

Mary J. McAdams ◽

Sujata Dixit-Joshi ◽

Niveditha Devasenapathy ◽

...

Keyword(s):

Assessment Tool ◽

Disease Risk ◽

Dietary Assessment ◽

Portion Size ◽

Health Study ◽

Eating Pattern ◽

Dietary Recall ◽

The North ◽

Asian Populations ◽

Nutrient Profiles

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.

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Abstract P206: Diet Quality is Lower Among Adolescents Who Skip Lunch

Circulation ◽

10.1161/circ.141.suppl_1.p206 ◽

2020 ◽

Vol 141 (Suppl_1) ◽

Author(s):

Spencer M Clason ◽

Lori Spruance ◽

Leann Myers ◽

Keelia O'Malley ◽

Carolyn Johnson

Keyword(s):

Diet Quality ◽

Dietary Habits ◽

Assessment Tool ◽

Dietary Assessment ◽

School Setting ◽

Healthy Eating Index ◽

Dietary Quality ◽

Added Sugars ◽

Dietary Recall ◽

Quality Diet

Introduction: A healthy diet is key in preventing chronic diseases and black adults have higher rates of hypertension, obesity, and heart disease death rates compared to their white counterparts. Because dietary habits track from adolescence to adulthood, it is important to understand dietary habits of adolescents. This study aimed to examine the dietary quality among adolescents who skip lunch compared to those who do not. Methods: Data were collected in 2012 from 718 adolescents attending schools in New Orleans, Louisiana. Schools were high-poverty and closed-campus. Adolescents participated in a 24-hour dietary recall using the Automated Self-Administered 24-Hour (ASA24) Dietary Assessment Tool and data were converted into Healthy Eating Index (HEI-10) scores (range 0-100; higher scores reflect higher quality diet). Mean scores were compared between students who skipped lunch and those who did not. Results: Of the 718 respondents, 88.3% were black and 15.3% of students skipped lunch. Students who ate lunch had a mean HEI score of 46.6 compared to a mean score of 41.7 for students who skipped lunch (p<0.001). Students who skipped lunch also had significantly lower intake of total vegetables, whole fruits, total dairy, total protein, and higher intake of empty calories (Solid fats, alcohols, and added sugars (SoFASS)). Conclusions: Skipping lunch was associated with lower quality diet, though diet quality was low among all students. Students who skip lunch are less likely to consume vegetables, whole fruits, whole grains, and proteins and have higher intake of SoFASS. Considering over 15% of the sample did not eat lunch in a closed-campus school setting, further research should consider how to encourage students to participate in the National School Lunch Program. Table 1. HEI score comparisons between those who skip and do not skip lunch.

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Validity and Reliability of a Short Diet Questionnaire to Estimate Dietary Intake in Older Adults in a Subsample of the Canadian Longitudinal Study on Aging

Nutrients ◽

10.3390/nu10101522 ◽

2018 ◽

Vol 10 (10) ◽

pp. 1522 ◽

Cited By ~ 4

Author(s):

Anne Gilsing ◽

Alexandra Mayhew ◽

Hélène Payette ◽

Bryna Shatenstein ◽

Sharon Kirkpatrick ◽

...

Keyword(s):

Longitudinal Study ◽

Assessment Tool ◽

Dietary Assessment ◽

Intraclass Correlation ◽

Correlation Coefficients ◽

Food Groups ◽

Validity And Reliability ◽

Retest Reliability ◽

System Usability Scale ◽

Test Retest Reliability

This study assessed test-retest reliability and relative validity of the Short Diet Questionnaire (SDQ) and usability of an online 24 h recall among 232 participants (62 years ± 9.1; 49.6% female) from the Canadian Longitudinal Study on Aging (CLSA). Participants were asked to complete four 24 h dietary recalls (24HRs) using the Automated Self-Administered 24-h Dietary Assessment Tool (ASA24-Canada-2014), two SDQ administrations (prior to recalls one and four), and the System Usability Scale (SUS) for ASA24. For the SDQ administrations, Intraclass Correlation Coefficients ranged from 0.49 to 0.57 for nutrients and 0.35 to 0.72 for food groups. Mean intakes estimated from the SDQ were lower compared than those from the 24HRs. For nutrients, correlation coefficients were highest for fiber, calcium, and vitamin D (45–64 years: 0.59, 0.50, 0.51; >65 years: 0.29, 0.38, 0.49, p < 0.01); Kappas ranged from 0.14 to 0.37 in those 45–64 years and 0.17 to 0.32 in participants >65 years. Among the 70% who completed all recalls independently, the SUS indicated poor usability, though the majority reported feeling confident using ASA24. Overall, the SDQ captures intake with varying test-retest reliability and accuracy by nutrient and age. Further research is needed to inform use of a more comprehensive dietary measure in the CLSA.

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Nutrient Estimation from 24-Hour Food Recalls Using Machine Learning and Database Mapping: A Case Study with Lactose

Nutrients ◽

10.3390/nu11123045 ◽

2019 ◽

Vol 11 (12) ◽

pp. 3045 ◽

Cited By ~ 1

Author(s):

Elizabeth L. Chin ◽

Gabriel Simmons ◽

Yasmine Y. Bouzid ◽

Annie Kan ◽

Dustin J. Burnett ◽

...

Keyword(s):

Machine Learning ◽

Assessment Tool ◽

Dietary Assessment ◽

Learning Models ◽

Dietary Recall ◽

Manual Curation ◽

The Status ◽

Food Recalls ◽

Recall System ◽

Machine Learning Models

The Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24) is a free dietary recall system that outputs fewer nutrients than the Nutrition Data System for Research (NDSR). NDSR uses the Nutrition Coordinating Center (NCC) Food and Nutrient Database, both of which require a license. Manual lookup of ASA24 foods into NDSR is time-consuming but currently the only way to acquire NCC-exclusive nutrients. Using lactose as an example, we evaluated machine learning and database matching methods to estimate this NCC-exclusive nutrient from ASA24 reports. ASA24-reported foods were manually looked up into NDSR to obtain lactose estimates and split into training (n = 378) and test (n = 189) datasets. Nine machine learning models were developed to predict lactose from the nutrients common between ASA24 and the NCC database. Database matching algorithms were developed to match NCC foods to an ASA24 food using only nutrients (“Nutrient-Only”) or the nutrient and food descriptions (“Nutrient + Text”). For both methods, the lactose values were compared to the manual curation. Among machine learning models, the XGB-Regressor model performed best on held-out test data (R2 = 0.33). For the database matching method, Nutrient + Text matching yielded the best lactose estimates (R2 = 0.76), a vast improvement over the status quo of no estimate. These results suggest that computational methods can successfully estimate an NCC-exclusive nutrient for foods reported in ASA24.

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Agreement between an online dietary assessment tool (myfood24) and an interviewer-administered 24-h dietary recall in British adolescents aged 11–18 years

British Journal Of Nutrition ◽

10.1017/s0007114516000593 ◽

2016 ◽

Vol 115 (9) ◽

pp. 1678-1686 ◽

Cited By ~ 28

Author(s):

Salwa A. Albar ◽

Nisreen A. Alwan ◽

Charlotte E. L. Evans ◽

Darren C. Greenwood ◽

Janet E. Cade

Keyword(s):

Assessment Tool ◽

New Technology ◽

Dietary Assessment ◽

Intraclass Correlation ◽

Correlation Coefficients ◽

Limited Information ◽

Dietary Recall ◽

Face To Face ◽

Intraclass Correlation Coefficients ◽

Adolescents And Adults

Abstractmyfood24 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 (κw=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.

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Use of Online Dietary Recalls among Older UK Adults: A Feasibility Study of an Online Dietary Assessment Tool

Nutrients ◽

10.3390/nu11071451 ◽

2019 ◽

Vol 11 (7) ◽

pp. 1451 ◽

Cited By ~ 2

Author(s):

Heather Ward ◽

Heather McLellan ◽

Chi Udeh-Momoh ◽

Parthenia Giannakopoulou ◽

Catherine Robb ◽

...

Keyword(s):

Older Adults ◽

Assessment Tool ◽

Dietary Assessment ◽

Technology Readiness ◽

Dietary Recall ◽

Self Confidence ◽

Multivariable Regression ◽

A Prospective Study ◽

Multivariable Regression Models

This study examined the feasibility of including myfood24, an online 24-hour dietary recall tool, in a cohort studies of older adults. Participants (n = 319) were recruited during follow-up visits for the CHARIOT-Pro Sub-study, a prospective study of cognitively healthy adults aged 60–85 years at baseline. Email invitations were sent over three consecutive months, with weekly reminders. Multivariable regression models were applied to examine the number of recalls completed in relation to technology readiness (TR) scores and demographic characteristics. Ninety-four percent of people agreed to participate. Among participants, 67% completed at least one recall, and 48% completed two or more. Participants who completed multiple recalls reported higher self-confidence with technology and received a higher TR score than those who did not complete any recalls. A one-point higher TR score was associated with higher odds of completing three recalls compared to zero recalls (OR 1.70, 95% CI 0.96–3.01); this association was further attenuated after adjustment for demographic and other TR-related covariates (OR 1.35, 95% CI 0.63–2.88). This study demonstrates reasonable participation rates for a single myfood24 recall among older adults participating in a cohort study but suggests that further support may be required to obtain multiple recalls in this population.

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Comparing Traumatic Brain Injury Symptoms Reported via Questionnaires Versus a Novel Structured Interview

Journal of the International Neuropsychological Society ◽

10.1017/s1355617721000278 ◽

2021 ◽

pp. 1-11

Author(s):

Natalie A. Emmert ◽

Georgia Ristow ◽

Michael A. McCrea ◽

Terri A. deRoon-Cassini ◽

Lindsay D. Nelson

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Response Bias ◽

Minnesota Multiphasic Personality Inventory ◽

Assessment Tool ◽

Symptom Burden ◽

Structured Interview ◽

Self Report ◽

Symptom Reporting ◽

Clinical Interviews

Abstract Objective: Mild traumatic brain injury (mTBI) symptoms are typically assessed via questionnaires in research, yet questionnaires may be more prone to biases than direct clinical interviews. We compared mTBI symptoms reported on two widely used self-report inventories and the novel Structured Interview of TBI Symptoms (SITS). Second, we explored the association between acquiescence response bias and symptom reporting across modes of assessment. Method: Level 1 trauma center patients with mTBI (N = 73) were recruited within 2 weeks of injury, assessed at 3 months post-TBI, and produced nonacquiescent profiles. Assessments collected included the SITS (comprising open-ended and closed-ended questions), Rivermead Post Concussion Symptoms Questionnaire (RPQ), Sport Concussion Assessment Tool-3 (SCAT-3) symptom checklist, and Minnesota Multiphasic Personality Inventory-2 Restructured Form True Response Inconsistency (TRIN-r) scale. Results: Current mTBI symptom burden and individual symptom endorsement were highly concordant between SITS closed-ended questions, the RPQ, and the SCAT-3. Within the SITS, participants reported significantly fewer mTBI symptoms to open-ended as compared to later closed-ended questions, and this difference was weakly correlated with TRIN-r. Symptom scales were weakly associated with TRIN-r. Conclusions: mTBI symptom reporting varies primarily by whether questioning is open- vs. closed-ended but not by mode of assessment (interview, questionnaire). Acquiescence response bias appears to play a measurable but small role in mTBI symptom reporting overall and the degree to which participants report more symptoms to closed- than open-ended questioning. These findings have important implications for mTBI research and support the validity of widely used TBI symptom inventories.

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