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 [...]

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.

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

A comparison of the Remote Food Photography Method and the Automated Self-Administered 24-hour Dietary Assessment Tool for measuring full day dietary intake among school-aged children

2021 ◽  
pp. 1-26
Author(s):  
Traci A. Bekelman ◽  
Corby K. Martin ◽  
Susan L. Johnson ◽  
Deborah H. Glueck ◽  
Katherine A. Sauder ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Energy Intake ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Ease Of Use ◽  
Self Report ◽  
Food Photography ◽  
Photography Method

Abstract The limitations of self-report measures of dietary intake are well known. Novel, technology-based measures of dietary intake may provide a more accurate, less burdensome alternative to existing tools. The first objective of this study was to compare participant burden for two technology-based measures of dietary intake among school-age children: the Automated-Self Administered 24-hour Dietary Assessment Tool-2018 (ASA24-2018) and the Remote Food Photography Method (RFPM). The second objective was to compare reported energy intake for each method to the Estimated Energy Requirement for each child, as a benchmark for actual intake. Forty parent-child dyads participated in 2, 3-day dietary assessments: a parent proxy-reported version of the ASA24 and the RFPM. A parent survey was subsequently administered to compare satisfaction, ease of use and burden with each method. A linear mixed model examined differences in total daily energy intake (TDEI) between assessments, and between each assessment method and the EER. Reported energy intake was 379 kcal higher with the ASA24 than the RFPM (p=0.0002). Reported energy intake with the ASA24 was 231 kcal higher than the EER (p = 0.008). Reported energy intake with the RFPM did not differ significantly from the EER (difference in predicted means = −148 kcal, p = 0.09). Median satisfaction and ease of use scores were 5 out of 6 for both methods. A higher proportion of parents reported that the ASA24 was more time consuming than the RFPM (74.4% vs. 25.6%, p = 0.002). Utilization of both methods is warranted given their high satisfaction among parents.

scholarly journals Energy, macronutrient and fatty acid intake of French elderly community dwellers and association with socio-demographic characteristics: data from the Bordeaux sample of the Three-City Study

2007 ◽  
Vol 98 (5) ◽  
pp. 1046-1057 ◽  
Author(s):  
Catherine Féart ◽  
Marthe A. Jutand ◽  
Sophie Larrieu ◽  
Luc Letenneur ◽  
Cécile Delcourt ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Dietary Intake ◽  
Low Income ◽  
Educational Level ◽  
Dietary Habits ◽  
Dietary Assessment ◽  
The Elderly ◽  
Demographic Characteristics ◽  
Age Related ◽  
Total Fat

Few data are available regarding dietary habits of the elderly, in particular about fatty acid consumption, whereas these are major risk or protective factors of several age-related diseases. The aim of the present study was to characterise the dietary intake of a French elderly population in terms of energy, macronutrients and fatty acids based on their socio-demographic characteristics. The study population (age range 67·7–94·9 years) consisted of 1786 subjects from Bordeaux (France), included in the Three-City cohort. Dietary assessment was performed by a 24 h recall, allowing the estimation of energy, protein, carbohydrate, total fat, SFA, MUFA and PUFA intakes. Socio-demographic characteristics (age, sex, marital status, educational level and income), practice of sports and BMI were registered. Total energy intake (EI) was lower in women and in older participants ( ≥ 85 years) but higher in single subjects. Higher EI was associated with higher income, but not with educational level. Mean contribution of macronutrients to EI (protein 18 %, carbohydrate 46 % and total fat 31 %) was higher in women than men, except for alcohol. The oldest individuals consumed less protein and more mono- and disaccharides. Excess saturated fat intake (43 % of total fat), associated with a relative deficit in MUFA consumption (36 % of total fat), was observed. The mean 18 : 2n-6 : 18 : 3n-3 ratio was 9.9 and decreased with higher educational level. The present results suggest that being female, older age, being widowed and low income level could be considered as risk factors of inadequate dietary intake.

Evaluating Mobile Apps For Dietary and Food Timing Assessment For Use in Research and Clinical Assessment (Preprint)

2021 ◽  
Author(s):  
Siena Gioia ◽  
Irma M Vlassac ◽  
Demsina Babazadeh ◽  
Noah L Fryou ◽  
Elizabeth Do ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Keyword Search ◽  
Mobile Apps ◽  
Dietary Assessment ◽  
Registered Dietitian ◽  
Food Record ◽  
User Privacy ◽  
Privacy Policies ◽  
Dietary Record ◽  
System Usability Scale

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.

scholarly journals Impact on Dietary Intake of Two Levels of Technology-Assisted Personalized Nutrition: A Randomized Trial

Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3334
Author(s):  
Megan E. Rollo ◽  
Rebecca L. Haslam ◽  
Clare E. Collins
Keyword(s):  
Dietary Intake ◽  
Text Message ◽  
Mobile Technologies ◽  
Nutrition Support ◽  
Group Differences ◽  
Feedback Report ◽  
Personalized Nutrition ◽  
Self Monitoring ◽  
Web Based ◽  
The Impact

Advances in web and mobile technologies have created efficiencies relating to collection, analysis and interpretation of dietary intake data. This study compared the impact of two levels of nutrition support: (1) low personalization, comprising a web-based personalized nutrition feedback report generated using the Australian Eating Survey® (AES) food frequency questionnaire data; and (2) high personalization, involving structured video calls with a dietitian using the AES report plus dietary self-monitoring with text message feedback. Intake was measured at baseline and 12 weeks using the AES and diet quality using the Australian Recommended Food Score (ARFS). Fifty participants (aged 39.2 ± 12.5 years; Body Mass Index 26.4 ± 6.0 kg/m2; 86.0% female) completed baseline measures. Significant (p < 0.05) between-group differences in dietary changes favored the high personalization group for total ARFS (5.6 points (95% CI 1.3 to 10.0)) and ARFS sub-scales of meat (0.9 points (0.4 to 1.6)), vegetarian alternatives (0.8 points (0.1 to 1.4)), and dairy (1.3 points (0.3 to 2.3)). Additional significant changes in favor of the high personalization group occurred for proportion of energy intake derived from energy-dense, nutrient-poor foods (−7.2% (−13.8% to −0.5%)) and takeaway foods sub-group (−3.4% (−6.5% to 0.3%). Significant within-group changes were observed for 12 dietary variables in the high personalization group vs. one variable for low personalization. A higher level of personalized support combining the AES report with one-on-one dietitian video calls and dietary self-monitoring resulted in greater dietary change compared to the AES report alone. These findings suggest nutrition-related web and mobile technologies in combination with personalized dietitian delivered advice have a greater impact compared to when used alone.

scholarly journals Nutritional Assessment in Inflammatory Bowel Disease (IBD)—Development of the Groningen IBD Nutritional Questionnaires (GINQ)

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2739 ◽  
Author(s):  
Vera Peters ◽  
Behrooz Z Alizadeh ◽  
Jeanne HM de Vries ◽  
Gerard Dijkstra ◽  
Marjo JE Campmans-Kuijpers
Keyword(s):  
Inflammatory Bowel Disease ◽  
Dietary Intake ◽  
Bowel Disease ◽  
Dietary Habits ◽  
Nutritional Assessment ◽  
Dietary Assessment ◽  
Dietary Guidelines ◽  
Assessment Tools ◽  
Dietary Assessment Methods ◽  
Inflammatory Bowel

Diet plays a key role in the complex etiology and treatment of inflammatory bowel disease (IBD). Most existing nutritional assessment tools neglect intake of important foods consumed or omitted specifically by IBD patients or incorporate non-Western dietary habits, making the development of appropriate dietary guidelines for (Western) IBD patients difficult. Hence, we developed a food frequency questionnaire (FFQ), the Groningen IBD Nutritional Questionnaires (GINQ-FFQ); suitable to assess dietary intake in IBD patients. To develop the GINQ-FFQ, multiple steps were taken, including: identification of IBD specific foods, a literature search, and evaluation of current dietary assessment methods. Expert views were collected and in collaboration with Wageningen University, division of Human Nutrition and Health, this semi-quantitative FFQ was developed using standard methods to obtain a valid questionnaire. Next, the GINQ-FFQ was digitized into a secure web-based environment which also embeds additional nutritional and IBD related questions. The GINQ-FFQ is an online self-administered FFQ evaluating dietary intake, taking the previous month as a reference period. It consists of 121 questions on 218 food items. This paper describes the design process of the GINQ-FFQ which assesses dietary intake especially (but not exclusively) in IBD patients. Validation of the GINQ-FFQ is needed and planned in the near future.

scholarly journals Nutrition Discussion Forum

1997 ◽  
Vol 77 (1) ◽  
pp. 141-148 ◽  
Author(s):  
D. J. Millward ◽  
S. A. Bingham
Keyword(s):  
Dietary Intake ◽  
Protein Intake ◽  
Dietary Habits ◽  
Dietary Assessment ◽  
Healthy Individuals ◽  
Free Living ◽  
Check Method ◽  
Diet History ◽  
The Relationship ◽  
Urinary Nitrogen

In work aimed at developing methodologies for validation of estimates of the dietary intake of free-living individuals, Bingham and colleagues have examined the use of urinary nitrogen (UN) excretion as an index of protein intake (Bingham & Cummings, 1985; Bingham, 1994; Bingham et al. 1995). The basis of this approach is that in subjects in N equilibrium, N intake is assumed equal to N excretion. Thus, if N excretion is measured it should indicate N and dietary protein intakes. In practice, since most N excretion occurs via the urine, which is relatively simple to collect, Bingham and colleagues examined the relationship between 24 h UN and N intake (DN). They argued that in subjects on typical UK diets UN should bear a fixed relationship to DN, and measured it carefully in a group of subjects. They showed that in a group of eight individuals in which intake and N excretion were measured meticulously, UN was 81% DN (SD 2, range 78–83%). They argued that measurement of this ratio could be used to assess the validity of food intake measurement and concluded ‘In healthy individuals eating normal western diets, 24 h urine N from an 8 day collection verified for its completeness by the PABA check method, should establish urine N to within 81(SD 5)% of the habitual dietary intake, range 70–90%. If the dietary assessment from 18 days of records or 24 h recalls or the diet history falls within these limits, it can be stated that there is no evidence of interference with normal dietary habits, or of reporting errors….’ (Bingham & Cummings, 1985).

scholarly journals Observed Dietary Intake in Adults with Intellectual Disability Living in Group Homes

Nutrients ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 37
Author(s):  
Nur Hana Hamzaid ◽  
Helen T. O’Connor ◽  
Victoria M. Flood
Keyword(s):  
Intellectual Disability ◽  
Dietary Intake ◽  
Dietary Assessment ◽  
Bed Rest ◽  
Group Homes ◽  
Dietary Intakes ◽  
Limited Information ◽  
Dietary Recommendations ◽  
Convenience Sample ◽  
Dairy Foods

Background: There is limited information on the dietary intakes of people with intellectual disability (ID) living in group homes. Objective: To describe and evaluate dietary intake in people with ID. Method: Dietary intake was assessed in a convenience sample of people with ID living in group homes. Dietary assessment used three-day weighed food records and digital food photography. Intakes were compared to the Nutrient Reference Values (NRVs) and dietary recommendations. Results: A sample of 33 adults, (men (M): n = 14; women (W): n = 19), mean age 51 ± 14 years, was recruited from seven group homes. Mean daily energy intake was low (M: 7.4 MJ; W: 7.0 MJ; p = 0.46), similar to levels recommended for bed rest. Many participants had intakes below the estimated average requirements (EARs) for the nutrients, magnesium (M: 86%; W: 63%), calcium (M: 43%; W: 78%), iodine (M: 43%; W: 47%) and zinc (M: 43%). Less than half of the recommended daily servings were consumed for vegetables (men and women) and dairy foods (women). Conclusion: Nutrient intake and diet quality of the participants in the group homes studied was poor. Education and policy to support healthier diets is required to improve dietary intake of people with intellectual disability, living in group homes.

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