Dietary Assessment and Self-monitoring: With Nutrition Applications for Mobile Devices

2012 ◽  
Vol 73 (3) ◽  
pp. e253-e260 ◽  
Author(s):  
Jessica R. L. Lieffers ◽  
Rhona M. Hanning
Keyword(s):  
Dietary Intake ◽  
Mobile Devices ◽  
Dietary Assessment ◽  
Portion Size ◽  
Personal Digital Assistants ◽  
Self Monitoring ◽  
Food Records ◽  
Exciting Potential ◽  
Conventional Methods ◽  
24 Hour Recall

Nutrition applications for mobile devices (e.g., personal digital assistants, smartphones) are becoming increasingly accessible and can assist with the difficult task of intake recording for dietary assessment and self-monitoring. This review is a compilation and discussion of research on this tool for dietary intake documentation in healthy populations and those trying to lose weight. The purpose is to compare this tool with conventional methods (e.g., 24-hour recall interviews, paperbased food records). Research databases were searched from January 2000 to April 2011, with the following criteria: healthy or weight loss populations, use of a mobile device nutrition application, and inclusion of at least one of three measures, which were the ability to capture dietary intake in comparison with conventional methods, dietary self-monitoring adherence, and changes in anthropometrics and/or dietary intake. Eighteen studies are discussed. Two application categories were identified: those with which users select food and portion size from databases and those with which users photograph their food. Overall, positive feedback was reported with applications. Both application types had moderate to good correlations for assessing energy and nutrient intakes in comparison with conventional methods. For self-monitoring, applications versus conventional techniques (often paper records) frequently resulted in better self-monitoring adherence, and changes in dietary intake and/or anthropometrics. Nutrition applications for mobile devices have an exciting potential for use in dietetic practice.

scholarly journals Advancement in Dietary Assessment and Self-Monitoring Using Technology

Nutrients ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1648 ◽  
Author(s):  
Tracy L. Burrows ◽  
Megan E. Rollo
Keyword(s):  
Dietary Intake ◽  
Dietary Assessment ◽  
Self Monitoring ◽  
Intended Function

On the surface, some methods to assess and self-monitor dietary intake may be considered similar; however, the intended function of each is quite distinct [...]

scholarly journals The potential of a Web-based, Self-Administered Dietary Assessment Tool (Foodbook24) for National Nutrition Surveillance. (Preprint)

2020 ◽  
Author(s):  
Claire M. Timon ◽  
Janette Walton ◽  
Albert Flynn ◽  
Eileen R. Gibney
Keyword(s):  
Dietary Intake ◽  
Nutrient Intake ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Demographic Characteristics ◽  
Food Groups ◽  
Nutrition Survey ◽  
Web Based ◽  
24 Hour Recall ◽  
Daily Intakes

BACKGROUND There are many constraints to conducting national food consumption surveys for the purposes of national nutrition surveillance including cost, time and participant burden. Validated Web-based dietary assessment technologies offer a potential solution to many if these constraints. OBJECTIVE This study investigated the feasibility of using a previously validated, Web-based 24-hour recall dietary assessment tool (Foodbook24) for the purposes of nutrition surveillance by comparing the demographic characteristics and the quality of dietary intake data collected from an online cohort of participants in Ireland to the most recent Irish National Adult Nutrition Survey (NANS). METHODS Irish adult participants (aged 18 and over) were recruited to use Foodbook24 (Web-based tool). Demographic and dietary intake (by means of 2 non-consecutive self-administered 24-hour recalls) data was collected using Foodbook24. Following completion of the study, the dietary intake data collected were statistically weighted to represent the population of participants that completed the National Adult and Nutrition Survey (NANS) (2011) to facilitate the controlled comparison of intake data. Demographic characteristics of survey respondents were investigated using descriptive statistics in SPSS V20. The controlled comparison of weighted mean daily nutrient intake data collected from the Foodbook24 Web-based study (n= 329 plausible reporters) and the mean daily nutrient intake data collected from NANS (n=1051 plausible reporters) was conducted using the Wilcoxon-Mann–Whitney U-test in Creme Nutrition® software. RESULTS The results of this analysis highlight many differences between the demographic characteristics between both sets of survey participants. Notable differences included a lower proportion of adults aged 65 years and over and a higher proportion of females participated in the Web-based Foodbook24 study relative to the NANS study. Similar ranges of mean daily intakes for the majority of nutrients and food groups were observed (e.g. Energy (kcal/day) and Carbohydrate (g/day)), although significant differences for some nutrient (e.g. Riboflavin (mg/10MJ) and Vitamin B12 (µg/10MJ)) and food groups were identified. A high proportion of participants (47%) reported a willingness to continue to use Foodbook24 for an additional 6-month period. CONCLUSIONS These findings suggest that by using targeted recruitment strategies in the future to ensure the recruitment of a more representative sample, there is potential for Web-based methodologies such as Foodbook24 to be used for nutrition surveillance efforts in Ireland. CLINICALTRIAL n/a

Short Paper: Use of Natural Spoken Language with Automated Mapping of Self-Reported Food Intake to Food Composition Data for Low-Burden Real-Time Dietary Assessment (Preprint)

2021 ◽  
Author(s):  
Salima Taylor ◽  
Mandy Korpuski ◽  
Sai Das ◽  
Cheryl Gilhooly ◽  
Ryan Simpson ◽  
...  
Keyword(s):  
Food Intake ◽  
Dietary Intake ◽  
Energy Intake ◽  
Dietary Assessment ◽  
Spoken Language ◽  
Assessment Method ◽  
Food Composition ◽  
Short Paper ◽  
Self Monitoring ◽  
Significant Difference

BACKGROUND Self-monitoring food intake is a cornerstone of national recommendations for health, but existing applications are burdensome, which limits use. OBJECTIVE We developed and pilot tested a new app (COCO Nutritionist) that combines speech understanding technology with technologies for mapping foods to appropriate food composition codes in national databases, for lower-burden and automated nutritional analysis of self-reported dietary intake. METHODS COCO was compared with the multiple-pass, interviewer-administered 24h-recall method for assessment of energy intake. COCO was used for five consecutive days, and 24-h dietary recalls were obtained for two of the days. Participants were 35 women and men with a mean age of 28 (range 20-58) years, and mean Body Mass Index of 24 (range 17-48) kg/m2. RESULTS There was no significant difference in energy intake between values obtained by COCO and 24-h recall for days when both methods were used (2092 +/- 1044 [SD] versus 2030 +/- 687 [SD], P=0.70). There was also no differences between the methods in the percent of energy from protein, carbohydrate and fat (P=0.27-0.89), and no trend in energy intake obtained with COCO over the entire 5-day study period (p=0.186). CONCLUSIONS This first demonstration of a dietary assessment method using natural spoken language to map reported foods to food composition codes demonstrates a promising new approach to automate assessments of dietary intake. CLINICALTRIAL N/A

scholarly journals Active Image-Assisted Food Records in Comparison to Regular Food Records: A Validation Study against Doubly Labeled Water in 12-Month-Old Infants

Nutrients ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1904 ◽  
Author(s):  
Ulrica Johansson ◽  
Michelle Venables ◽  
Inger Öhlund ◽  
Torbjörn Lind
Keyword(s):  
Dietary Intake ◽  
Energy Intake ◽  
Validation Study ◽  
Dietary Assessment ◽  
Control Group ◽  
Doubly Labeled Water ◽  
Food Records ◽  
Before And After ◽  
Randomized Intervention ◽  
The Mean

Overreporting of dietary intake in infants is a problem when using food records (FR), distorting possible relationships between diet and health outcomes. Image-assisted dietary assessment may improve the accuracy, but to date, evaluation in the pediatric setting is limited. The aim of the study was to compare macronutrient and energy intake by using an active image-assisted five-day FR against a regular five-day FR, and to validate image-assistance with total energy expenditure (TEE), was measured using doubly labeled water. Participants in this validation study were 22 healthy infants randomly selected from the control group of a larger, randomized intervention trial. The parents reported the infants’ dietary intake, and supplied images of main course meals taken from standardized flat-surfaced plates before and after eating episodes. Energy and nutrient intakes were calculated separately using regular FR and image-assisted FRs. The mean (± standard deviations) energy intake (EI) was 3902 ± 476 kJ/day from the regular FR, and 3905 ± 476 kJ/day from the FR using active image-assistance. The mean EI from main-course meals when image-assistance was used did not differ (1.7 ± 55 kJ, p = 0.89) compared to regular FRs nor did the intake of macronutrients. Compared to TEE, image-assisted FR overestimated EI by 10%. Without validation, commercially available software to aid in the volume estimations, food item identification, and automation of the image processing, image-assisted methods remain a more costly and burdensome alternative to regular FRs in infants. The image-assisted method did, however, identify leftovers better than did regular FR, where such information is usually not readily available.

scholarly journals New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods

2016 ◽  
Vol 76 (3) ◽  
pp. 283-294 ◽  
Author(s):  
C. J. Boushey ◽  
M. Spoden ◽  
F. M. Zhu ◽  
E. J. Delp ◽  
D. A. Kerr
Keyword(s):  
Dietary Intake ◽  
Dietary Assessment ◽  
Assessment Methods ◽  
Portion Size ◽  
Mobile Technologies ◽  
Handheld Devices ◽  
Food Record ◽  
Dietary Assessment Methods ◽  
Wide Range ◽  
High Level

For nutrition practitioners and researchers, assessing dietary intake of children and adults with a high level of accuracy continues to be a challenge. Developments in mobile technologies have created a role for images in the assessment of dietary intake. The objective of this review was to examine peer-reviewed published papers covering development, evaluation and/or validation of image-assisted or image-based dietary assessment methods from December 2013 to January 2016. Images taken with handheld devices or wearable cameras have been used to assist traditional dietary assessment methods for portion size estimations made by dietitians (image-assisted methods). Image-assisted approaches can supplement either dietary records or 24-h dietary recalls. In recent years, image-based approaches integrating application technology for mobile devices have been developed (image-based methods). Image-based approaches aim at capturing all eating occasions by images as the primary record of dietary intake, and therefore follow the methodology of food records. The present paper reviews several image-assisted and image-based methods, their benefits and challenges; followed by details on an image-based mobile food record. Mobile technology offers a wide range of feasible options for dietary assessment, which are easier to incorporate into daily routines. The presented studies illustrate that image-assisted methods can improve the accuracy of conventional dietary assessment methods by adding eating occasion detail via pictures captured by an individual (dynamic images). All of the studies reduced underreporting with the help of images compared with results with traditional assessment methods. Studies with larger sample sizes are needed to better delineate attributes with regards to age of user, degree of error and cost.

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 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 Accuracy of Parental Reporting of Preschoolers’ Dietary Intake Using an Online Self-Administered 24-h Recall

Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 987 ◽  
Author(s):  
Angela Wallace ◽  
Sharon Kirkpatrick ◽  
Gerarda Darlington ◽  
Jess Haines
Keyword(s):  
Dietary Intake ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Portion Size ◽  
Assessment Tools ◽  
Web Based ◽  
Plate Waste ◽  
Daycare Centre ◽  
Parental Reports ◽  
Eating Occasions

Parents are typically relied upon to report young children’s dietary intake. However, there has been limited research assessing the accuracy of such reports captured using novel dietary assessment tools. The purpose of the current study was to assess the validity of the web-based Automated Self-Administered 24-h Dietary Assessment Tool (ASA24-Canada) for capturing dietary intake among children aged two-five years (n = 40), using parental proxy reporting. The study was conducted in a daycare setting, allowing for standardization of foods and drinks offered and direct observation of intake. Parental-reported intake was compared to true intake for lunch and dinner, as well as an afternoon snack, on a single day. Each eating occasion, including plate waste, was unobtrusively documented. Parents were not present for lunch or the afternoon snack, but joined their children at the daycare centre for the dinner meal. The following day, parents reported their children’s intake from the previous 24-h period using ASA24-Canada. For the eating occasions assessed, parents reported exact or close matches for 79.2% (82.3% for lunch, 81.2% for the snack, and 77.4% for dinner) of the foods and beverages truly consumed by children. Estimates of intake for energy and macronutrients examined (carbohydrates, fat, and protein) based on parental reports were higher than those based on true (observed) intake. Our findings suggest that parents are able to report what their preschool children eat and drink relatively accurately. However, the accuracy of portion size estimates is low. Strategies to enhance portion size reporting are needed to improve parental proxy reporting.

scholarly journals How many 24-hour recalls or food records are required to estimate usual energy and nutrient intake?

2010 ◽  
Vol 26 (11) ◽  
pp. 2101-2111 ◽  
Author(s):  
Rosângela Alves Pereira ◽  
Marina Campos Araujo ◽  
Taís de Souza Lopes ◽  
Edna Massae Yokoo
Keyword(s):  
Food Intake ◽  
Dietary Intake ◽  
Energy Intake ◽  
Metropolitan Area ◽  
Nutrient Intake ◽  
The Other ◽  
Food Record ◽  
Food Records ◽  
24 Hour Recall ◽  
Energy And Nutrient Intake

For dietary intake assessments, one needs to know the minimum 24-hour recall or food record replications that are required to estimate usual energy and nutrient intake and to classify subjects correctly according to their nutrient intake. Data from two different studies on dietary intake that were carried out with 300 adults and 169 adolescents in the Rio de Janeiro Metropolitan area, Brazil, were analyzed. To estimate the number of replications two methods were applied: one based on the variances ratio, the other based on the within-subject variance alone. The most important results found were the requirement for 14 replications for boys and men, 15 for girls, and 23 for women in order to estimate energy intake with a precision of 90%. Also four replications for boys and seven for men, girls and women are required to classify individuals' energy intake with a correlation coefficient of 0.9. Due to the within variance in food intake, a larger number of replications is required to obtain estimates of usual intakes than is needed to classify subjects according to levels of dietary intake.

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