scholarly journals Evaluation of dietary intake assessed by the Dutch self-administered web-based dietary 24-h recall tool (Compl-eat™) against interviewer-administered telephone-based 24-h recalls

2017 ◽  
Vol 6 ◽  
Author(s):  
Saskia Meijboom ◽  
Martinette T. van Houts-Streppel ◽  
Corine Perenboom ◽  
Els Siebelink ◽  
Anne M. van de Wiel ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Large Scale ◽  
Alcohol Intake ◽  
Lower Number ◽  
Vitamin B ◽  
Food Groups ◽  
Web Based ◽  
The Web

AbstractSelf-administered web-based 24-h dietary recalls (24 hR) may save a lot of time and money as compared with interviewer-administered telephone-based 24 hR interviews and may therefore be useful in large-scale studies. Within the Nutrition Questionnaires plus (NQplus) study, the web-based 24 hR tool Compl-eat™ was developed to assess Dutch participants’ dietary intake. The aim of the present study was to evaluate the performance of this tool against the interviewer-administered telephone-based 24 hR method. A subgroup of participants of the NQplus study (20–70 years, n 514) completed three self-administered web-based 24 hR and three telephone 24 hR interviews administered by a dietitian over a 1-year period. Compl-eat™ as well as the dietitians guided the participants to report all foods consumed the previous day. Compl-eat™ on average underestimated the intake of energy by 8 %, of macronutrients by 10 % and of micronutrients by 13 % as compared with telephone recalls. The agreement between both methods, estimated using Lin's concordance coefficients (LCC), ranged from 0·15 for vitamin B1 to 0·70 for alcohol intake (mean LCC 0·38). The lower estimations by Compl-eat™ can be explained by a lower number of total reported foods and lower estimated intakes of the food groups, fats, oils and savoury sauces, sugar and confectionery, dairy and cheese. The performance of the tool may be improved by, for example, adding an option to automatically select frequently used foods and including more recall cues. We conclude that Compl-eat™ may be a useful tool in large-scale Dutch studies after suggested improvements have been implemented and evaluated.

scholarly journals Respondent Characteristics and Dietary Intake Data Collected Using Web-Based and Traditional Nutrition Surveillance Approaches: Comparison and Usability Study

10.2196/22759 ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. e22759
Author(s):  
Claire M Timon ◽  
Janette Walton ◽  
Albert Flynn ◽  
Eileen R Gibney
Keyword(s):  
Dietary Intake ◽  
Nutrient Intake ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Daily Intake ◽  
Demographic Characteristics ◽  
Food Groups ◽  
Nutrition Survey ◽  
Web Based ◽  
The Web

Background There are many constraints to conducting national food consumption surveys for national nutrition surveillance, including cost, time, and participant burden. Validated web-based dietary assessment technologies offer a potential solution to many of these constraints. Objective This study aims to investigate the feasibility of using a previously validated, web-based, 24-hour recall dietary assessment tool (Foodbook24) for nutrition surveillance by comparing the demographic characteristics and the quality of dietary intake data collected from a web-based cohort of participants in Ireland to those collected from the most recent Irish National Adult Nutrition Survey (NANS). Methods Irish adult participants (aged ≥18 years) were recruited to use Foodbook24 (a web-based tool) between March and October 2016. Demographic and dietary intake (assessed by means of 2 nonconsecutive, self-administered, 24-hour recalls) data were collected using Foodbook24. Following the completion of the study, the dietary intake data collected from the web-based study were statistically weighted to represent the age-gender distribution of intakes reported in the NANS (2008-2010) to facilitate the controlled comparison of intake data. The demographic characteristics of the survey respondents were investigated using descriptive statistics. The controlled comparison of weighted mean daily nutrient intake data collected from the Foodbook24 web-based study (329 plausible reporters of a total of 545 reporters) and the mean daily nutrient intake data collected from the NANS (1051 plausible reporters from 1500 reporters) was completed using the Wilcoxon–Mann-Whitney U test in Creme Nutrition software. Results Differences between the demographic characteristics of the survey participants across the 2 surveys were observed. Notable differences included a lower proportion of adults aged ≥65 years and a higher proportion of females who participated in the web-based Foodbook24 study relative to the NANS study (P<.001). Similar ranges of mean daily intake for the majority of nutrients and food groups were observed (eg, energy [kilocalorie per day] and carbohydrate [gram per day]), although significant differences for some nutrients (eg, riboflavin [mg/10 MJ], P<.001 and vitamin B12 [µg/10 MJ], P<.001) and food groups were identified. A high proportion of participants (200/425, 47.1%) reported a willingness to continue using Foodbook24 for an additional 6 months. 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.

scholarly journals Innovative approaches to estimate individual usual dietary intake in large-scale epidemiological studies

2017 ◽  
Vol 76 (3) ◽  
pp. 213-219 ◽  
Author(s):  
Johanna Conrad ◽  
Ute Nöthlings
Keyword(s):  
Food Intake ◽  
Dietary Intake ◽  
Statistical Methods ◽  
Large Scale ◽  
New Technologies ◽  
Epidemiological Studies ◽  
Web Based ◽  
Food Records ◽  
Usual Intake ◽  
Innovative Approaches

Valid estimation of usual dietary intake in epidemiological studies is a topic of present interest. The aim of the present paper is to review recent literature on innovative approaches focussing on: (1) the requirements to assess usual intake and (2) the application in large-scale settings. Recently, a number of technology-based self-administered tools have been developed, including short-term instruments such as web-based 24-h recalls, mobile food records or simple closed-ended questionnaires that assess the food intake of the previous 24 h. Due to their advantages in terms of feasibility and cost-effectiveness these tools may be superior to conventional assessment methods in large-scale settings. New statistical methods have been developed to combine dietary information from repeated 24-h dietary recalls and FFQ. Conceptually, these statistical methods presume that the usual food intake of a subject equals the probability of consuming a food on a given day, multiplied by the average amount of intake of that food on a typical consumption day. Repeated 24-h recalls from the same individual provide information on consumption probability and amount. In addition, the FFQ can add information on intake frequency of rarely consumed foods. It has been suggested that this combined approach may provide high-quality dietary information. A promising direction for estimation of usual intake in large-scale settings is the integration of both statistical methods and new technologies. Studies are warranted to assess the validity of estimated usual intake in comparison with biomarkers.

Conclusions

2006 ◽  
Author(s):  
Christopher Walton
Keyword(s):  
Semantic Web ◽  
Large Scale ◽  
Web Search ◽  
Web Based ◽  
E Learning ◽  
Computer Based ◽  
Intelligent Devices ◽  
Automated Data Integration ◽  
The Web

At the start of this book we outlined the challenges of automatic computer based processing of information on the Web. These numerous challenges are generally referred to as the ‘vision’ of the Semantic Web. From the outset, we have attempted to take a realistic and pragmatic view of this vision. Our opinion is that the vision may never be fully realized, but that it is a useful goal on which to focus. Each step towards the vision has provided new insights on classical problems in knowledge representation, MASs, and Web-based techniques. Thus, we are presently in a significantly better position as a result of these efforts. It is sometimes difficult to see the purpose of the Semantic Web vision behind all of the different technologies and acronyms. However, the fundamental purpose of the Semantic Web is essentially large scale and automated data integration. The Semantic Web is not just about providing a more intelligent kind of Web search, but also about taking the results of these searches and combining them in interesting and useful ways. As stated in Chapter 1, the possible applications for the Semantic Web include: automated data mining, e-science experiments, e-learning systems, personalized newspapers and journals, and intelligent devices. The current state of progress towards the Semantic Web vision is summarized in Figure 8.1. This figure shows a pyramid with the human-centric Web at the bottom, sometimes termed the Syntactic Web, and the envisioned Semantic Web at the top. Throughout this book, we have been moving upwards on this pyramid, and it should be clear that a great deal of progress that has been made towards the goal. This progress is indicated by the various stages of the pyramid, which can be summarized as follows: • The lowest stage on the pyramid is the basic Web that should be familiar to everyone. This Web of information is human-centric and contains very little automation. Nonetheless, the Web provides the basic protocols and technologies on which the Semantic Web is founded. Furthermore, the information which is represented on the Web will ultimately be the source of knowledge for the Semantic Web.

scholarly journals Challenges Associated With the Design and Deployment of Food Intake Urine Biomarker Technology for Assessment of Habitual Diet in Free-Living Individuals and Populations—A Perspective

2020 ◽  
Vol 7 ◽  
Author(s):  
Manfred Beckmann ◽  
Thomas Wilson ◽  
Amanda J. Lloyd ◽  
Duarte Torres ◽  
Ana Goios ◽  
...  
Keyword(s):  
Food Intake ◽  
Dietary Intake ◽  
Large Scale ◽  
Eating Habits ◽  
Population Level ◽  
Eating Patterns ◽  
Food Groups ◽  
Free Living ◽  
Wide Range ◽  
Urine Biomarker

Improvement of diet at the population level is a cornerstone of national and international strategies for reducing chronic disease burden. A critical challenge in generating robust data on habitual dietary intake is accurate exposure assessment. Self-reporting instruments (e.g., food frequency questionnaires, dietary recall) are subject to reporting bias and serving size perceptions, while weighed dietary assessments are unfeasible in large-scale studies. However, secondary metabolites derived from individual foods/food groups and present in urine provide an opportunity to develop potential biomarkers of food intake (BFIs). Habitual dietary intake assessment in population surveys using biomarkers presents several challenges, including the need to develop affordable biofluid collection methods, acceptable to participants that allow collection of informative samples. Monitoring diet comprehensively using biomarkers requires analytical methods to quantify the structurally diverse mixture of target biomarkers, at a range of concentrations within urine. The present article provides a perspective on the challenges associated with the development of urine biomarker technology for monitoring diet exposure in free-living individuals with a view to its future deployment in “real world” situations. An observational study (n = 95), as part of a national survey on eating habits, provided an opportunity to explore biomarker measurement in a free-living population. In a second food intervention study (n = 15), individuals consumed a wide range of foods as a series of menus designed specifically to achieve exposure reflecting a diversity of foods commonly consumed in the UK, emulating normal eating patterns. First Morning Void urines were shown to be suitable samples for biomarker measurement. Triple quadrupole mass spectrometry, coupled with liquid chromatography, was used to assess simultaneously the behavior of a panel of 54 potential BFIs. This panel of chemically diverse biomarkers, reporting intake of a wide range of commonly-consumed foods, can be extended successfully as new biomarker leads are discovered. Towards validation, we demonstrate excellent discrimination of eating patterns and quantitative relationships between biomarker concentrations in urine and the intake of several foods. In conclusion, we believe that the integration of information from BFI technology and dietary self-reporting tools will expedite research on the complex interactions between dietary choices and health.

scholarly journals Development and evaluation of the Oxford WebQ, a low-cost, web-based method for assessment of previous 24 h dietary intakes in large-scale prospective studies

2011 ◽  
Vol 14 (11) ◽  
pp. 1998-2005 ◽  
Author(s):  
Bette Liu ◽  
Heather Young ◽  
Francesca L Crowe ◽  
Victoria S Benson ◽  
Elizabeth A Spencer ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Prospective Studies ◽  
Large Scale ◽  
Assessment Tool ◽  
Low Cost ◽  
Dietary Intakes ◽  
Nutrient Intakes ◽  
Web Based ◽  
Dietary Recall ◽  
The Mean

AbstractObjectivesTo describe the development of the Oxford WebQ, a web-based 24 h dietary assessment tool developed for repeated administration in large prospective studies; and to report the preliminary assessment of its performance for estimating nutrient intakes.DesignWe developed the Oxford WebQ by repeated testing until it was sufficiently comprehensive and easy to use. For the latest version, we compared nutrient intakes from volunteers who completed both the Oxford WebQ and an interviewer-administered 24 h dietary recall on the same day.SettingOxford, UK.SubjectsA total of 116 men and women.ResultsThe WebQ took a median of 12·5 (interquartile range: 10·8–16·3) min to self-complete and nutrient intakes were estimated automatically. By contrast, the interviewer-administered 24 h dietary recall took 30 min to complete and 30 min to code. Compared with the 24 h dietary recall, the mean Spearman's correlation for the 21 nutrients obtained from the WebQ was 0·6, with the majority between 0·5 and 0·9. The mean differences in intake were less than ±10 % for all nutrients except for carotene and vitamins B12 and D. On rare occasions a food item was reported in only one assessment method, but this was not more frequent or systematically different between the methods.ConclusionsCompared with an interviewer-based 24 h dietary recall, the WebQ captures similar food items and estimates similar nutrient intakes for a single day's dietary intake. The WebQ is self-administered and nutrients are estimated automatically, providing a low-cost method for measuring dietary intake in large-scale studies.

Unsupervised acquisition of entailment relations from the Web

2013 ◽  
Vol 21 (1) ◽  
pp. 3-47 ◽  
Author(s):  
IDAN SZPEKTOR ◽  
HRISTO TANEV ◽  
IDO DAGAN ◽  
BONAVENTURA COPPOLA ◽  
MILEN KOUYLEKOV
Keyword(s):  
Large Scale ◽  
Learning Algorithm ◽  
State Of The Art ◽  
High Coverage ◽  
Web Based ◽  
Rule Acquisition ◽  
Learning Rules ◽  
Entailment Relation ◽  
Entailment Relations ◽  
The Web

AbstractEntailment recognition is a primary generic task in natural language inference, whose focus is to detect whether the meaning of one expression can be inferred from the meaning of the other. Accordingly, many NLP applications would benefit from high coverage knowledgebases of paraphrases and entailment rules. To this end, learning such knowledgebases from the Web is especially appealing due to its huge size as well as its highly heterogeneous content, allowing for a more scalable rule extraction of various domains. However, the scalability of state-of-the-art entailment rule acquisition approaches from the Web is still limited. We present a fully unsupervised learning algorithm for Web-based extraction of entailment relations. We focus on increased scalability and generality with respect to prior work, with the potential of a large-scale Web-based knowledgebase. Our algorithm takes as its input a lexical–syntactic template and searches the Web for syntactic templates that participate in an entailment relation with the input template. Experiments show promising results, achieving performance similar to a state-of-the-art unsupervised algorithm, operating over an offline corpus, but with the benefit of learning rules for different domains with no additional effort.

scholarly journals Evaluation of paper-based and web-based food frequency questionnaires for 7-year-old children in Singapore

2021 ◽  
pp. 1-35
Author(s):  
Jun S Lai ◽  
Jason Loh ◽  
Jia Ying Toh ◽  
Ray Sugianto ◽  
Marjorelee T Colega ◽  
...  
Keyword(s):  
Parent Report ◽  
Dietary Intakes ◽  
Food Groups ◽  
Cohen’S Kappa ◽  
Web Based ◽  
Food Frequency ◽  
Cohen's Kappa ◽  
Good Ability ◽  
The Web ◽  
Good Agreement

Abstract Advances in technology enabled the development of a web-based, pictorial food frequency questionnaire (FFQ) to collect parent-report dietary intakes of 7-year-old children in the GUSTO study. This study aimed to compare intakes estimated from a paper-FFQ and a web-FFQ, and examine the relative validity of both FFQs against 3-day diet records (3DDR). Ninety-two mothers reported food intakes of their 7-year-old child on a paper-FFQ, a web-FFQ and a 3DDR. A usability questionnaire collected participants’ feedback on the web-FFQ. Correlations and agreement in energy, nutrients and food groups intakes between the dietary assessments were evaluated using Pearson’s correlation, Lin’s concordance, Bland-Altman plots, Cohen’s kappa and tertile classification. The paper- and web-FFQ had good correlations (≥0.50) and acceptable-good agreement (Lin’s concordance ≥0.30; Cohen’s kappa ≥0.41; ≥50% correct and ≤10% mis-classification into same or extreme tertiles). Compared to 3DDR, both FFQs showed poor agreement (<0.30) in assessing absolute intakes except micronutrients (web-FFQ had acceptable-good agreement); but showed acceptable-good ability to classify children into tertiles (κ≥0.21; ≥40% and ≤15% correct or misclassification). Bland-Altman plots suggest good agreement between web-FFQ and 3DDR in assessing micronutrients and several food groups. The web-FFQ was well-received (e.g. >89% found it user-friendly), and majority (81%) preferred the web-FFQ over the paper-FFQ. The newly developed web-FFQ produced intake estimates comparable to the paper-FFQ, has acceptable-good agreement with 3DDR in assessing absolute micronutrients intakes, and acceptable-good ability to classify children according to categories of intakes. The positive acceptance of the web-FFQ makes it a feasible tool for future dietary data collection.

Abstract MP31: The Web-based Automated Self-administered 24-hour Dietary Recall Performs Similarly to a Traditional Interviewer-administered 24-hour Dietary Recall

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Amy F Subar ◽  
Sharon I Kirkpatrick ◽  
Francis E Thompson ◽  
Beth Mittl ◽  
Sujata Dixit-Joshi ◽  
...  
Keyword(s):  
Large Scale ◽  
Fruits And Vegetables ◽  
Saturated Fatty Acids ◽  
Response Rates ◽  
Study Groups ◽  
Food Group ◽  
Food Groups ◽  
Web Based ◽  
Dietary Recall ◽  
Before And After

Introduction: Two studies were conducted to evaluate the National Cancer Institute (NCI)’s web-based Automated Self-Administered 24-hour Recall (ASA24) system, which was developed to facilitate the collection of 24-hour dietary recalls in large-scale research. Hypothesis: Energy, nutrient and food group estimates, response rates, and preferences are comparable between ASA24 and USDA’s interviewer-administered Automated Multiple-Pass Method (AMPM). Methods: Study 1 assessed the response rates and data collected using ASA24 compared to AMPM. About 1200 participants were recruited from three integrated health systems using quota sampling to ensure representation of a range of ages and race/ethnicity groups. Participants were asked to complete two 24HRs, 4-7 weeks apart, and randomized into four study groups: 1) two ASA24s; 2) two AMPMs; 3) ASA24 first and AMPM second; and 4) AMPM first and ASA24 second. Study 2 assessed the validity of ASA24 compared to AMPM in a one-day feeding study. Eighty-one participants visited a study center to consume three meals from a buffet. All containers were unobtrusively weighed before and after each participant served him/herself; plate waste was also weighed. The next day, participants returned to the center to complete either ASA24 or AMPM. Results: Study 1: Almost all enrolled participants (95%) completed at least one recall and 80% completed two; response rates did not differ by recall mode. Estimated intakes of energy, nutrients and food groups were comparable for ASA24 and AMPM; for example, energy, 2132 vs. 2126 kcal; fat, 84.9 vs. 82.8 g; saturated fatty acids, 27.9 vs. 26.9 g; fiber, 18.4 vs. 18.4 g; and fruits and vegetables, 3.0 vs. 3.1 cup equivalents. Of participants randomized to complete one ASA24 and one AMPM, a greater percentage preferred ASA24. Study 2: The examination of foods and drinks reported showed that exact or close matches were recalled for 76.9% of items truly consumed among ASA24 respondents compared to 82.5% among AMPM respondents. Far matches were reported for 3.1% of items consumed among ASA24 respondents compared to 0.7% for AMPM. The proportions of foods or drinks consumed but not reported (exclusions) were 20.4% and 16.8% for ASA24 and AMPM, respectively. Median differences between reported and true intakes for energy, nutrient and most food groups were not significantly different between ASA24 and AMPM. Conclusion: ASA24 performs well relative to traditional interviewer-administered recalls and is feasible for use in large-scale research. The tool, which offers significant savings over interviewer-administered recalls, is publicly available from NCI and has been used in over 800 studies to collect over 113,000 dietary recalls. The tool is currently being updated to run on mobile applications.

scholarly journals Data-driven development of the Meal-based Diet History Questionnaire for Japanese adults

2020 ◽  
pp. 1-25
Author(s):  
Kentaro Murakami ◽  
Nana Shinozaki ◽  
Tracy A McCaffrey ◽  
M Barbara E Livingstone ◽  
Satoshi Sasaki
Keyword(s):  
Dietary Intake ◽  
Large Scale ◽  
Time Of Day ◽  
Food Groups ◽  
Nutrition Research ◽  
Japanese Adults ◽  
Dietary Record ◽  
Consumption Frequency ◽  
Diet History Questionnaire ◽  
Diet History

Abstract Food frequency questionnaires, the primary method of dietary assessment in large-scale nutritional epidemiologic studies, preclude an informed evaluation of the timing of dietary intake and meal-specific dietary intake. In this study, we developed the Meal-based Diet History Questionnaire (MDHQ), a self-administered questionnaire designed for estimating food and nutrient intakes for each meal type separately. The development was done based on a 16-day dietary record obtained from 242 Japanese adults. The MDHQ consisted of the three different parts, with a total of 196 items. Part 1 of the MDHQ asks about consumption frequency of generic food groups (n 24) for each meal type: breakfast, morning snack, lunch, afternoon snack, dinner, and night snack. Part 2 of the MDHQ asks about relative consumption frequency of sub-food groups within one of the generic food groups which are asked in Part 1. Combining information derived from Parts 1 and 2 enables to increase the number of foods we can estimate efficiently but within a limited number of questions. Part 3 of the MDHQ asks about general eating behaviors, which are intended to use in a variety of ways during dietary intake calculation. A series of calculation algorithms for food groups, energy, and nutrients were also prepared. Given that the MDHQ was empirically developed based on comprehensive information on actual food consumption, this innovative tool may be promising for future epidemiological research on meal patterns and time of day of dietary intake, or chrono-nutrition research. A rigorous evaluation of validity of the MDHQ is warranted.

Identification of Alcohol Risk Drinking Behaviour in Pregnancy Using a Web-Based Questionnaire: Large-Scale Implementation in Antenatal Care

2020 ◽  
Vol 55 (2) ◽  
pp. 225-232
Author(s):  
Louise Katrine Kjaer Weile ◽  
Chunsen Wu ◽  
Hanne Kristine Hegaard ◽  
Ulrik Schiøler Kesmodel ◽  
Tine Brink Henriksen ◽  
...  
Keyword(s):  
Alcohol Consumption ◽  
Antenatal Care ◽  
Binge Drinking ◽  
Large Scale ◽  
Alcohol Intake ◽  
University Hospital ◽  
Drinking Behaviour ◽  
Web Based ◽  
Specialized Care ◽  
In Pregnancy

Abstract Aims This study aimed to examine the feasibility of a web-based questionnaire when collecting information on alcohol consumption in pregnancy to identify women with risk drinking behaviour, and to describe factors associated with risk drinking behaviour, and the use of specialized care for prenatal risk drinking. Methods In 2413 women referred to antenatal care at Odense University Hospital, Denmark, April–October 2018, self-reported alcohol intake was retrieved from a web-based questionnaire. Replies were screened for risk drinking behaviour: current intake of ≥7 drinks/week, ≥3 binge drinking episodes (intake of ≥5 drinks on a single occasion) in pregnancy, binge drinking after recognition of pregnancy and/or a TWEAK-score ≥ 2 points. Women with risk drinking behaviour were called to clarify the need for specialized care. A summary of the interview was obtained from the medical records. Results Overall, 2168 (90%) completed the questionnaire. Of 2097 women providing information on alcohol intake, 77 (4%) had risk drinking behaviour. Risk drinking was associated with higher alcohol intake prior to pregnancy, spontaneous conception, younger age, nulliparity and higher level of physical activity in pregnancy. Amongst 47 women with risk drinking behaviour reached by phone, five (11%, 95% CI 4–23%) accepted examinations of the child by paediatrician and child psychologist, and &lt;3 (not further specified due to small numbers) were referred to specialized antenatal care. Conclusions A web-based questionnaire was feasible when collecting information on alcohol consumption in pregnancy to identify risk drinking behaviour. Women with risk drinking behaviour had a low acceptance of referral to specialized care.

Sign in / Sign up

Export Citation Format

Share Document