scholarly journals Progressive 24-Hour Recall: Usability Study of Short Retention Intervals in Web-Based Dietary Assessment Surveys

10.2196/13266 ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. e13266
Author(s):  
Timur Osadchiy ◽  
Ivan Poliakov ◽  
Patrick Olivier ◽  
Maisie Rowland ◽  
Emma Foster
Keyword(s):  
Dietary Assessment ◽  
Portion Size ◽  
Estimation Methods ◽  
Size Estimation ◽  
Web Based ◽  
Multiple Pass ◽  
The Mean ◽  
24 Hour Recall ◽  
Retention Intervals ◽  
Portion Size Estimation

Background Under-reporting because of the limitations of human memory is one of the key challenges in dietary assessment surveys that use the multiple-pass 24-hour recall. Research indicates that shortening a retention interval (ie, the time between the eating event and recall) reduces the burden on memory and may increase the accuracy of the assessment. Objective This study aimed to explore the accuracy and acceptability of Web-based dietary assessment surveys based on a progressive recall, where a respondent is asked to record multiple recalls throughout a 24-hour period using the multiple-pass protocol and portion size estimation methods of the 24-hour recall. Methods The experiment was conducted with a dietary assessment system, Intake24, that typically implements the multiple-pass 24-hour recall method where respondents record all meals they had for the previous day on a single occasion. We modified the system to allow respondents to add multiple recalls throughout the day using the multiple-pass protocol and portion size estimation methods of the 24-hour recall (progressive recall). We conducted a dietary assessment survey with 33 participants, where they were asked to record dietary intake using both 24-hour and progressive recall methods for weekdays only. We compared mean retention intervals (ie, the time between eating event and recall) for the 2 methods. To examine accuracy, we compared mean energy estimates and the mean number of reported foods. Of these participants, 23 were interviewed to examine the acceptability of the progressive recall. Results Retention intervals were found to be, on average, 15.2 hours (SD 7.8) shorter during progressive recalls than those during 24-hour recalls. We found that the mean number of foods reported for evening meals for progressive recalls (5.2 foods) was significantly higher (P=.001) than that for 24-hour recalls (4.2 foods). The number of foods and the amount of energy reported for other meals remained similar across the 2 methods. In interviews, 65% (15/23) of participants said that the 24-hour recall is more convenient in terms of fitting in with their daily lifestyles, and 65% (15/23) of respondents indicated that they remembered meal content and portion sizes better with the progressive recall. Conclusions The analysis of interviews and data from our study indicate that progressive recalls provide minor improvements to the accuracy of dietary assessment in Intake24. Additional work is needed to improve the acceptability of progressive recalls in this system.

scholarly journals Progressive 24-Hour Recall: Usability Study of Short Retention Intervals in Web-Based Dietary Assessment Surveys (Preprint)

2019 ◽  
Author(s):  
Timur Osadchiy ◽  
Ivan Poliakov ◽  
Patrick Olivier ◽  
Maisie Rowland ◽  
Emma Foster
Keyword(s):  
Dietary Assessment ◽  
Portion Size ◽  
Estimation Methods ◽  
Size Estimation ◽  
Web Based ◽  
Multiple Pass ◽  
The Mean ◽  
24 Hour Recall ◽  
Retention Intervals ◽  
Portion Size Estimation

BACKGROUND Under-reporting because of the limitations of human memory is one of the key challenges in dietary assessment surveys that use the multiple-pass 24-hour recall. Research indicates that shortening a retention interval (ie, the time between the eating event and recall) reduces the burden on memory and may increase the accuracy of the assessment. OBJECTIVE This study aimed to explore the accuracy and acceptability of Web-based dietary assessment surveys based on a progressive recall, where a respondent is asked to record multiple recalls throughout a 24-hour period using the multiple-pass protocol and portion size estimation methods of the 24-hour recall. METHODS The experiment was conducted with a dietary assessment system, Intake24, that typically implements the multiple-pass 24-hour recall method where respondents record all meals they had for the previous day on a single occasion. We modified the system to allow respondents to add multiple recalls throughout the day using the multiple-pass protocol and portion size estimation methods of the 24-hour recall (progressive recall). We conducted a dietary assessment survey with 33 participants, where they were asked to record dietary intake using both 24-hour and progressive recall methods for weekdays only. We compared mean retention intervals (ie, the time between eating event and recall) for the 2 methods. To examine accuracy, we compared mean energy estimates and the mean number of reported foods. Of these participants, 23 were interviewed to examine the acceptability of the progressive recall. RESULTS Retention intervals were found to be, on average, 15.2 hours (SD 7.8) shorter during progressive recalls than those during 24-hour recalls. We found that the mean number of foods reported for evening meals for progressive recalls (5.2 foods) was significantly higher (<i>P</i>=.001) than that for 24-hour recalls (4.2 foods). The number of foods and the amount of energy reported for other meals remained similar across the 2 methods. In interviews, 65% (15/23) of participants said that the 24-hour recall is more convenient in terms of fitting in with their daily lifestyles, and 65% (15/23) of respondents indicated that they remembered meal content and portion sizes better with the progressive recall. CONCLUSIONS The analysis of interviews and data from our study indicate that progressive recalls provide minor improvements to the accuracy of dietary assessment in Intake24. Additional work is needed to improve the acceptability of progressive recalls in this system.

scholarly journals Development and evaluation of image-series for portion size estimation in dietary assessment among adults

2021 ◽  
Vol 10 ◽  
Author(s):  
Lorentz Salvesen ◽  
Dagrun Engeset ◽  
Nina C. Øverby ◽  
Anine C. Medin
Keyword(s):  
Assessment Tool ◽  
Tertiary Education ◽  
Dietary Assessment ◽  
Portion Size ◽  
Estimation Accuracy ◽  
Size Estimation ◽  
Web Based ◽  
Food Items ◽  
Image Series ◽  
Portion Size Estimation

Abstract Portion size images are advantageous in dietary assessment. The aim of the present study was to develop and validate new culturally specific image-series for portion size estimation to be used in a new Norwegian version of a British web-based dietary assessment tool (myfood24). Twenty-three image-series of different foods, each containing seven portion size images, were created and validated in a group of adults (n 41, 58 % female) aged 19–44 (median 23), out of which 63 % had higher (tertiary) education. The participants compared 46 portions of pre-weighed foods to the portion size images (1886 comparisons in total). Portion size estimations were either classified as correct, adjacent or misclassified. The weight discrepancy in percentage between the chosen and the correct portion size image was also calculated. Mann–Whitney U tests were used to explore if portion size estimation accuracy differed across sample characteristics, or if it depended on how the foods were presented. For thirty-eight of the forty-six presented food items, the participants selected the correct or adjacent portion size image 98 % on average. The remaining eight food items were on average misclassified by 27 % of the participants. Overall, a mean weight discrepancy of 2⋅5 % was observed between the chosen and the correct portion size images. Females estimated portion size more accurately than males (P = 0⋅019). No other significant differences in estimation accuracy were observed. In conclusion, the new image-series performed satisfactorily, except for the image-series depicting bread, caviar spread and marzipan cake, which will be altered. The present study demonstrates the importance of validating portion size estimation tools.

scholarly journals Simple methods to obtain a food listing and portion size distribution estimates for use in semi-quantitative dietary assessment methods

2019 ◽  
Author(s):  
Christine Hotz ◽  
Lubowa Abdelrahman
Keyword(s):  
Size Distribution ◽  
Dietary Assessment ◽  
Estimation Method ◽  
Portion Size ◽  
Size Estimation ◽  
Dietary Assessment Methods ◽  
Portion Sizes ◽  
Survey Population ◽  
24 Hour Recall ◽  
Portion Size Estimation

AbstractSemi-quantitative dietary assessment methods are frequently used in low income countries, and the use of photographic series for portion size estimation is gaining popularity. However, when adequate data on commonly consumed foods and portion sizes are not available to design these tools, alternative data sources are needed. This study aimed to develop and test methods to: (i) identify foods likely to be consumed in a study population in rural Uganda, and; (ii) to derive distributions of portion sizes for common foods and dishes. A process was designed to derive detailed food and recipe lists using guided group interviews with women from the survey population, including a ranking for the likelihood of foods being consumed. A rapid recall method to estimate portion sizes using direct weight by a representative sample of the survey population was designed and implemented. Results were compared to data from a 24 hour dietary recall. Of the 82 food items reported in the 24 hour recall survey, 87% were among those ranked with a high or medium likelihood of being consumed and accounted for 95% of kilocalories. Of the most frequently reported foods in the 24 hour recall, portion sizes for many (15/25), but not all foods did not differ significantly (p<0.05) from those in the portion size estimation method. The percent of portion sizes reported in the 24 hour recall between the 5th and 95th percentiles determined by the portion size distribution estimation method ranged from a low of 18% up to 100%. In conclusion, a simple food listing and ranking method effectively identified foods most likely to occur in a dietary survey. A simple method to obtain reliable portion size distributions was effective for many foods, while the approach for others should be modified. These methods are an improvement on those in current use.

scholarly journals Portion size estimation in dietary assessment: a systematic review of existing tools, their strengths and limitations

2020 ◽  
Vol 78 (11) ◽  
pp. 885-900 ◽  
Author(s):  
Birdem Amoutzopoulos ◽  
Polly Page ◽  
Caireen Roberts ◽  
Mark Roe ◽  
Janet Cade ◽  
...  
Keyword(s):  
Dietary Assessment ◽  
Portion Size ◽  
Data Selection ◽  
Size Estimation ◽  
Key Factors ◽  
High Quality ◽  
3 Dimensional ◽  
Food Image ◽  
Portion Size Estimation

Abstract Context Overestimation or underestimation of portion size leads to measurement error during dietary assessment. Objective To identify portion size estimation elements (PSEEs) and evaluate their relative efficacy in relation to dietary assessment, and assess the quality of studies validating PSEEs. Data Selection and Extraction Electronic databases, internet sites, and cross-references of published records were searched, generating 16 801 initial records, from which 334 records were reviewed and 542 PSEEs were identified, comprising 5% 1-dimensional tools (eg, food guides), 46% 2-dimensional tools (eg, photographic atlases), and 49% 3-dimensional tools (eg, household utensils). Out of 334 studies, 21 validated a PSEE (compared PSEE to actual food amounts) and 13 compared PSEEs with other PSEEs. Conclusion Quality assessment showed that only a few validation studies were of high quality. According to the findings of validation and comparison studies, food image–based PSEEs were more accurate than food models and household utensils. Key factors to consider when selecting a PSEE include efficiency of the PSEE and its applicability to targeted settings and populations.

scholarly journals Feasibility of Reviewing Digital Food Images for Dietary Assessment among Nutrition Professionals

Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 984 ◽  
Author(s):  
Ayob Ainaa Fatehah ◽  
Bee Koon Poh ◽  
Safii Nik Shanita ◽  
Jyh Eiin Wong
Keyword(s):  
Dietary Assessment ◽  
Portion Size ◽  
Size Estimation ◽  
Online Questionnaire ◽  
Actual Weight ◽  
Percentage Difference ◽  
Portion Sizes ◽  
Food Images ◽  
Portion Size Estimation ◽  
Nutrition Professionals

Validity of image-assisted and image-based dietary assessment methods relies on the accuracy of portion size estimation based on food images. However, little is known on the ability of nutrition professionals in assessing dietary intake based on digital food images. This study aims to examine the ability of nutrition professionals in reviewing food images with regard to food item identification and portion size estimation. Thirty-eight nutritionists, dietitians, and nutrition researchers participated in this study. Through an online questionnaire, participants’ accuracy in identifying food items and estimating portion sizes of two sets of digital food images presenting a meal on a plate (Image PL) and in a bowl (Image BW) were tested. Participants reported higher accuracy in interpreting Image BW compared to Image PL, both in terms of accuracy in food identification (75.3 ± 17.6 vs. 68.9 ± 17.1%) and percentage difference in portion size estimation (44.3 ± 16.6 vs. 47.6 ± 21.2%). Weight of raw vegetables was significantly underestimated (−45.1 ± 22.8% vs. −21.2 ± 37.4%), while drink was significantly overestimated (40.1 ± 45.8% vs. 26.1 ± 32.2) in both images. Less than one-third of the participants estimated portion size within 10% of actual weight for Image PL (23.7%) and Image BW (32.3%). Accuracy of nutrition professionals in reviewing food images could be further improved with training on better perception of portion sizes from images.

scholarly journals An evaluation of a virtual atlas of portion sizes (VAPS) mobile augmented reality for portion size estimation

2020 ◽  
Author(s):  
Meng Chun Lam ◽  
Nur Afyfah Suwadi ◽  
Adibah Huda Mohd Zainul Arifien ◽  
Bee Koon Poh ◽  
Nik Shanita Safii ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Dietary Assessment ◽  
3D Models ◽  
Health Science ◽  
Portion Size ◽  
Size Estimation ◽  
Portion Sizes ◽  
Food Portion ◽  
Science Group ◽  
Portion Size Estimation

Abstract Food portion size estimation is a critical yet challenging task in dietary assessment. Augmented reality technology enables the presentation of food dimensions and volume in a virtual three-dimensional object. It has the potential to improve perception and estimation of portion sizes. This study aims to develop and evaluate a novel mobile augmented reality application, namely Virtual Atlas of Portion Sizes (VAPS), as a portion size estimation aid. The development methodology of VAPS involves food photography, reconstruction of 3D models using photogrammetry method and presenting them in an AR environment. The 3D food models displayed in either semi-transparent or vivid mode for users to perform food portion estimation. Users can then resize and rotate the 3D models to fit the virtual model with the actual food. A total of thirty-six participants were involved in the evaluation and were divided into a health science and a non-health science background group. VAPS received good usability level with 76 SUS score. In terms of task completion time, unsurprisingly, the health science group performed faster. However, both groups have equivalent accuracy on the food portion estimation task using VAPS: 22.5% for non-health science group and 26.6% for health science group. The health science group liked and have better accuracy in vivid 3D food models (37.5%). Meanwhile, the non-health science group preferred semi-transparent 3D food models, but the accuracy is not significantly different between semi-transparent (25%) and vivid 3D food model (20%). Results demonstrate the potential of VAPS to aid in portion size estimation for dietary assessment, and participants’ feedback will be incorporated in the future for improvement of the app.

scholarly journals Web‐based dietary assessment software for 24‐hour recall interview

2009 ◽  
Vol 23 (S1) ◽  
Author(s):  
Eunyoung Park ◽  
Sangah Shin ◽  
Soochan Hwang ◽  
Kyo‐Joon Lee ◽  
Myung‐Joo Lee ◽  
...  
Keyword(s):  
Dietary Assessment ◽  
Web Based ◽  
24 Hour Recall

scholarly journals A comparison of food portion size estimation by older adults, young adults and nutritionists

2017 ◽  
Vol 22 (2) ◽  
pp. 230-236 ◽  
Author(s):  
Claire Marie Timon ◽  
S. E. Cooper ◽  
M. E. Barker ◽  
A. J. Astell ◽  
T. Adlam ◽  
...  
Keyword(s):  
Older Adults ◽  
Young Adults ◽  
Portion Size ◽  
Size Estimation ◽  
Food Portion ◽  
Portion Size Estimation ◽  
Food Portion Size
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