scholarly journals Validation of the INDDEX24 mobile app vs. a pen-and-paper 24-hour dietary recall using the weighed food record as a benchmark in Burkina Faso

2021 ◽  
pp. 1-41
Author(s):  
Beatrice L Rogers ◽  
Jérome W Somé ◽  
Peter Bakun ◽  
Katherine P Adams ◽  
Winnie Bell ◽  
...  
Keyword(s):  
Data Collection ◽  
Burkina Faso ◽  
Mobile App ◽  
Group Level ◽  
Food Groups ◽  
Food Record ◽  
Individual Level ◽  
Consumption Data ◽  
Dietary Surveys ◽  
Weighed Food Record

Abstract Effective nutrition policies require timely, accurate individual dietary consumption data; collection of such information has been hampered by cost and complexity of dietary surveys and lag in producing results. The objective of this work was to assess accuracy and cost-effectiveness of a streamlined, tablet-based dietary data collection platform for 24-hour individual dietary recalls (24HR) administered using INDDEX24 platform vs. a pen-and-paper (PAPI) questionnaire, with weighed food record (WFR) as a benchmark. This cross-sectional comparative study included women 18-49 years old from rural Burkina Faso (n=116 INDDEX24; n=115 PAPI). A weighed food record was conducted; the following day, a 24HR was administered by different interviewers. Food consumption data were converted into nutrient intakes. Validity of 24HR estimates of nutrient and food group consumption was based on comparison with WFR using equivalence tests (group level) and percentages of participants within ranges of percent error (individual level). Both modalities performed comparably estimating consumption of macro- and micronutrients, food groups, and quantities (modalities’ divergence from WFR not significantly different). Accuracy of both modalities was acceptable (equivalence to WFR significant at p <.05) at group level for macronutrients, less so for micronutrients and individual-level consumption (percent within +/-20% of WFR 17%-45% for macronutrients; 5%-17% for micronutrients). INDDEX24 was more cost-effective than PAPI based on superior accuracy of a composite nutrient intake measure (but not gram amount or item count) due to lower time and personnel costs. INDDEX24 for 24HR dietary surveys linked to dietary reference data shows comparable accuracy to PAPI at lower cost.

scholarly journals Harmonizing Dietary Datasets Around the World for Global Diet Monitoring: Methods from the Global Dietary Database and the Global Individual Food Consumption Data Tool (OR06-06-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Dimitra Karageorgou ◽  
Laura Lara-Castor ◽  
Catherine Leclercq ◽  
Victoria Padula de Quadros ◽  
Sofia Ioannidou ◽  
...  
Keyword(s):  
Food Consumption ◽  
Dietary Intakes ◽  
Food Groups ◽  
Monitoring Methods ◽  
Food Record ◽  
Individual Level ◽  
Consumption Data ◽  
Food Consumption Data ◽  
The World ◽  
Dietary Data

Abstract Objectives To systematically identify, compile, and harmonize national and sub-national individual-level dietary data around the world using a common food classification and description system (FCDS); promote collaboration with data owners worldwide; and publicly disseminate methods and datasets to the global nutrition community. Methods The Global Dietary Database (GDD) and the FAO/WHO Global Individual Food consumption data Tool (FAO/WHO GIFT) initiative, in collaboration with the European Food Safety Authority (EFSA), developed a framework to standardize the characterization of 24-hour recall and food record survey data at their finest level, using FoodEx2 (Figure). FoodEx2 is a comprehensive FCDS developed by EFSA, adapted for international high-quality food characterization and methodologically superior to prior international FCDS. Single food items are characterized through a classification system (hierarchical nested food groups) and 32 description elements (facets), such as cooking process. Standardized criteria, procedures, and templates were developed to: (1) identify and (2) prioritize eligible surveys for FoodEx2 mapping; (3) efficiently contact data owners and obtain approval for public dissemination; (4) allocate financial assistance as appropriate; (5) obtain survey information and assess survey and diet tool quality; (6) train data owners on dataset preparation and FoodEx2 mapping; (7) collect harmonized microdata, including structure, sociodemographics, diet metrics, units of measure, and food characterization; and (8) publicly disseminate methods and datasets via the GDD and FAO/WHO GIFT platforms. Results A total of 151 surveys have been identified as high priority. Harmonization has been completed for 24 European surveys by EFSA, which will be incorporated in the GDD and FAO/WHO GIFT platforms upon approval of data owners; 8 surveys by FAO/WHO GIFT; and is ongoing for another 4. Thus far, the data owners of 53 surveys from 41 countries, including Brazil, India, and Iran, confirmed interest in joining; all surveys either used none or a local FCDS. Conclusions These new methods developed will provide the most comprehensive and standardized databases of dietary intakes worldwide. Such global dietary data harmonization is imperative for global diet monitoring and informed priority setting. Funding Sources Gates Foundation. Supporting Tables, Images and/or Graphs

scholarly journals The INDDEX24 Dietary Assessment Platform Is As Accurate as Pen-and-Paper 24-Hour Dietary Recall When Compared to a Weighed Food Record Benchmark in Viet Nam

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 870-870
Author(s):  
Winnie Bell ◽  
Jennifer Coates ◽  
Peter Bakun ◽  
Jérôme Somé ◽  
Brooke Colaiezzi ◽  
...  
Keyword(s):  
Data Collection ◽  
Dietary Assessment ◽  
Reproductive Age ◽  
Digital Data ◽  
Computer Assisted ◽  
Viet Nam ◽  
Food Record ◽  
Dietary Recall ◽  
Individual Level ◽  
Weighed Food Record

Abstract Objectives The study assessed the relative accuracy of INDDEX24, a computer-assisted personal interview (CAPI) approach to conducting a 24-hour dietary recall (24HR), compared to the pen-and-paper interview (PAPI) approach against a full-day observed weighed food record (WFR) in northern Viet Nam where the diet is diverse and complex. Methods Women aged 18–49 from northern Viet Nam were randomly assigned to be interviewed with the CAPI or PAPI 24HR the day after other enumerators conducted a WFR. The Two One Sided T-test (TOST) assessed equivalence of each recall-benchmark method comparison using a 10% bound. A difference-in-differences approach compared the significance of differences between the CAPI vs. WFR and PAPI vs. WFR modalities. Nutrient intakes were logged to achieve a normal distribution. Results Both the PAPI and the CAPI were statistically equivalent to the WFR across indicators of average total food items, total grams of intake, energy intake, all macro- and micronutrients tested (except Vitamin A for both CAPI and PAPI). The difference-in-difference analysis showed that the CAPI diverged significantly less than PAPI from the WFR for iron (0.9 v. −1.3 mg) and PAPI diverged less from the WFR than CAPI for protein (−3.7 v. 7.9 grams). There were no other statistically significant differences and, for both PAPI and CAPI, average deviations from the WFR were small. Individual-level comparisons showed 56% of PAPI and 59% of CAPI respondents were within +/−20% of the WFR intakes, while 26% of respondents in the PAPI group and 32% of the CAPI group had energy intakes by 24HR within +/- 10% of the WFR intakes. Conclusions INDDEX24 was an accurate method for assessing food and nutrient intake among women of reproductive age in northern Viet Nam, when compared to a WFR. INDDEX24 performed at least as well as the PAPI 24HR modality across several different group and individual level measures for energy and nutrients of interest. Digital data collection platforms facilitate standardization of data collection and may reduce survey time and costs. Given these advantages, the INDDEX24 Dietary Assessment Platform should be considered for implementing high quality, individual-level, quantitative dietary surveys in low- and middle-income countries. Funding Sources Bill and Melinda Gates Foundation.

scholarly journals Omissions, Intrusions, and Use of Standard Recipes in Computer Assisted and Pen and Paper 24-hour Dietary Recalls Compared With Weighed Food Record: Results From Burkina Faso

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 883-883
Author(s):  
Jérome Some ◽  
Beatrice Rogers ◽  
Winnie Bell ◽  
Peter Bakun ◽  
Sarah Wafa ◽  
...  
Keyword(s):  
Burkina Faso ◽  
Rural Women ◽  
Early Morning ◽  
Computer Assisted ◽  
Food Record ◽  
Equal Distribution ◽  
Dietary Recall ◽  
Before And After ◽  
Weighed Food Record ◽  
At Home

Abstract Objectives A validation study in Burkina Faso compared accuracy of two modes of administration of a 24-hour individual dietary recall (24HR), pen-and-paper (PAPI) and tablet (computer-assisted, CAPI), using weighed food record (WFR) as a benchmark. Sources of divergence between the WFR and each 24HR mode were explored, including number of times items in the WFR were omitted from the 24HR (omissions), and number of times items appeared in the 24HR but not the WFR (intrusions). Methods Subjects were 231 rural women aged 18–49 years. For the WFR an enumerator visited the household and recorded all food consumed from early morning until after the evening meal, at home and away. Food prepared at home was weighed before and after cooking; amount taken by the respondent was weighed; leftovers subtracted. For mixed dishes, the enumerator weighed all ingredients prior to cooking, the finished dish, and the amount consumed by the respondent, assuming equal distribution of ingredients. The following day a different enumerator administered a multiple pass 24HR of the previous day. Mixed dishes were recorded in two ways: if the dish was similar to a standard recipe (SR) obtained from previous surveys, the quantity was recorded assuming the ingredients and proportions matched the SR. If the dish was not similar, it was considered a non-standard recipe (NSR), and the enumerator recorded the quantity of each ingredient, the final dish, and amount consumed. Results In both modes, omissions outnumbered intrusions. About 1/4 of foods in the WFR were omitted from the 24HR: 26.5% (PAPI); 25.1% (CAPI); about 10% of foods in both 24HR did not match the WFR. For NSRs, omissions and intrusions were less frequent: 15.1% (PAPI) and 16.5% (CAPI) omissions; 2.5% (PAPI) and 5.1% (CAPI) intrusions. SRs were recorded less frequently than individual foods or NSRs. PAPI, 400 foods, 404 NSRs, 91 SRs; CAPI, 386 foods, 411 NSRs, 100 SRs. SRs were more frequently omitted in CAPI (30%) than PAPI (18.7%); and added: CAPI (15.0%); PAPI (7.7%). Conclusions Respondents to both 24HR modes were more likely to forget items than recall them erroneously. SRs are intended to reduce respondent burden but were infrequently used. The time saved using SRs should be balanced against possible loss of accuracy. Sources of divergence between 24HR and the WFR need investigation. Funding Sources Bill and Melinda Gates Foundation.

scholarly journals A Clinician's Primer for Idiographic Research

2019 ◽  
Author(s):  
Marilyn Piccirillo ◽  
Emorie D Beck ◽  
Thomas Rodebaugh
Keyword(s):  
Time Series ◽  
Clinical Practice ◽  
Data Collection ◽  
Clinical Psychology ◽  
Word Of Mouth ◽  
Group Level ◽  
Individual Level ◽  
Clinical Questions ◽  
Time Series Methodology

Theorists and clinicians have long noted the need for idiographic (i.e., individual-level) designs within clinical psychology. Results from idiographic work may provide a possible resolution of the therapist’s dilemma – the problem of treating an individual using information gathered via group-level research. Due to advances in data collection and time series methodology, there has been increasing interest in using idiographic designs to answer clinical questions. Although time series methods have been well-studied outside the field of clinical psychology, there is limited direction on how clinicians can use such models to inform their clinical practice. In this primer, we collate decades of published and word-of-mouth information on idiographic designs, measurement, and modeling. We aim to provide an initial guide on the theoretical and practical considerations that we urge interested clinicians to consider before conducting idiographic work of their own.

scholarly journals Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches (Preprint)

2018 ◽  
Author(s):  
Alan Rozet ◽  
Ian M Kronish ◽  
Joseph E Schwartz ◽  
Karina W Davidson
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Data Collection ◽  
Observational Study ◽  
Network Model ◽  
Recurrent Neural Network ◽  
Neural Network Model ◽  
Population Level ◽  
Mobile App ◽  
Individual Level

BACKGROUND Investigations into person-specific predictors of stress have typically taken either a population-level nomothetic approach or an individualized ideographic approach. Nomothetic approaches can quickly identify predictors but can be hindered by the heterogeneity of these predictors across individuals and time. Ideographic approaches may result in more predictive models at the individual level but require a longer period of data collection to identify robust predictors. OBJECTIVE Our objectives were to compare predictors of stress identified through nomothetic and ideographic models and to assess whether sequentially combining nomothetic and ideographic models could yield more accurate and actionable predictions of stress than relying on either model. At the same time, we sought to maintain the interpretability necessary to retrieve individual predictors of stress despite using nomothetic models. METHODS Data collected in a 1-year observational study of 79 participants performing low levels of exercise were used. Physical activity was continuously and objectively monitored by actigraphy. Perceived stress was recorded by participants via daily ecological momentary assessments on a mobile app. Environmental variables including daylight time, temperature, and precipitation were retrieved from the public archives. Using these environmental, actigraphy, and mobile assessment data, we built machine learning models to predict individual stress ratings using linear, decision tree, and neural network techniques employing nomothetic and ideographic approaches. The accuracy of the approaches for predicting individual stress ratings was compared based on classification errors. RESULTS Across the group of patients, an individual’s recent history of stress ratings was most heavily weighted in predicting a future stress rating in the nomothetic recurrent neural network model, whereas environmental factors such as temperature and daylight, as well as duration and frequency of bouts of exercise, were more heavily weighted in the ideographic models. The nomothetic recurrent neural network model was the highest performing nomothetic model and yielded 72% accuracy for an 80%/20% train/test split. Using the same 80/20 split, the ideographic models yielded 75% accuracy. However, restricting ideographic models to participants with more than 50 valid days in the training set, with the same 80/20 split, yielded 85% accuracy. CONCLUSIONS We conclude that for some applications, nomothetic models may be useful for yielding higher initial performance while still surfacing personalized predictors of stress, before switching to ideographic models upon sufficient data collection.

scholarly journals Assessment of energy and macronutrient intake in young men: a comparison of 4-day food record and 24-hour dietary recall

2009 ◽  
Vol 22 (5) ◽  
pp. 621-630 ◽  
Author(s):  
Selma Coelho Liberato ◽  
Josefina Bressan ◽  
Andrew Peter Hills
Keyword(s):  
Food Intake ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Young Men ◽  
Group Level ◽  
Food Record ◽  
Cross Sectional ◽  
Dietary Recall ◽  
Individual Level ◽  
The Individual

OBJECTIVE: The objective was to assess the quantitative agreement between a 4-day food record and a 24-hour dietary recall in young men. METHODS: Thirty-four healthy men aged 18-25 years had their food intake estimated by 4-day food record within one week following 24-hour dietary recall in a cross-sectional study. Resting metabolic rate was assessed by indirect calorimetry and Energy Expenditure was estimated by physical activity records completed simultaneously with food intake records. The validity of food records was determined by direct comparison of Energy Intake and Energy Expenditure (95% confidence interval for Energy Intake/Energy Expenditure). RESULTS: There were good agreements between the measurements of energy and macronutrient intakes by 24-hour dietary recall and 4-day food record at the group level, but not at the individual level. Compared to energy expenditure, about 20% and 9% of participants underreported their Energy Intake by 4-day food record and 24-hour dietary recall, respectively. Over 30% of underreporters of Energy Intake estimated by 24-hour dietary recall underreported Energy Intake estimated by 4-day food record. CONCLUSION: Both diet methods, 24-hour dietary recall and 4-day food record, may be used to collect data at the group level, but not at the individual level. Both methods, however, appear to underestimate Energy Intake. Underreporting may be subject-specific and appears that is more difficult to retrieve valid dietary data from some people than others.

scholarly journals Development and validation of an electronic FFQ to assess food intake in the Slovene population

2013 ◽  
Vol 17 (8) ◽  
pp. 1729-1737 ◽  
Author(s):  
Mojca Bizjak ◽  
Zala Jenko-Pražnikar ◽  
Barbara Koroušić Seljak
Keyword(s):  
Healthy Adult ◽  
Adult Population ◽  
Coastal Region ◽  
Correlation Coefficients ◽  
Food Group ◽  
Mean Value ◽  
Food Groups ◽  
Food Record ◽  
Nutrient Intakes ◽  
Weighed Food Record

AbstractObjectiveTo develop and validate an electronic FFQ that estimates the food and nutrient intakes, especially fat intake, in a healthy, adult population from the coastal (Mediterranean) part of Slovenia.DesignA new electronic FFQ was developed for a survey entitled ‘A multidisciplinary approach in the treatment of obesity’, conducted at the University of Primorska, and validated against a 3 d weighed food record (FR).SettingCoastal region of Slovenia.SubjectsOur study population included eighty-five healthy adults aged 25–49 years, recruited from the local coastal region of Slovenia. Intakes of food groups, macronutrients and energy, estimated by the FR and the FFQ, were compared using correlation coefficients, cross-classification and Bland–Altman plots.ResultsThe mean value of most nutrient intakes tended to be higher in the FFQ compared with the FR, except for carbohydrate, fibre and energy. Regression analysis demonstrated an acceptable agreement between the FFQ and FR. The FFQ was moderately correlated with the FR (0·30–0·54), and most of the correlations increased after energy adjustment and after de-attenuation. Relatively high (more than 70 %) proportions of participants were correctly classified into the same or an adjacent quartile. Bland–Altman analysis confirmed an acceptable level of agreement between the two methods.ConclusionsThe electronic FFQ, developed for a healthy adult Slovene population from the coastal region, was shown to be a valid tool to assess food group and nutrient intakes, especially fat intakes, and to rank individuals by their intakes within gene–nutrient studies.

scholarly journals A Clinician’s Primer for Idiographic Research: Considerations and Recommendations

2019 ◽  
Author(s):  
Marilyn Piccirillo ◽  
Emorie D Beck ◽  
Thomas Rodebaugh
Keyword(s):  
Time Series ◽  
Clinical Practice ◽  
Data Collection ◽  
Clinical Psychology ◽  
Word Of Mouth ◽  
Group Level ◽  
Individual Level ◽  
Clinical Questions ◽  
Time Series Methodology

Theorists and clinicians have long noted the need for idiographic (i.e., individual-level) designs within clinical psychology. Results from idiographic work may provide a possible resolution of the therapist’s dilemma—the problem of treating an individual using information gathered via group-level research. Due to advances in data collection and time series methodology, there has been increasing interest in using idiographic designs to answer clinical questions. Although time series methods have been well-studied outside the field of clinical psychology, there is limited direction on how clinicians can use such models to inform their clinical practice. In this primer, we collate decades of published and word-of-mouth information on idiographic designs, measurement, and modeling. We aim to provide an initial guide on the theoretical and practical considerations that we urge interested clinicians to consider before conducting idiographic work of their own.

scholarly journals Dietary intake in adults with type 1 and type 2 diabetes: validation of the Dietary Questionnaire for Epidemiological Studies version 2 FFQ against a 3-d weighed food record and 24-h urinalysis

2015 ◽  
Vol 114 (12) ◽  
pp. 2056-2063 ◽  
Author(s):  
Kristina S. Petersen ◽  
Jacqueline M. Smith ◽  
Peter M. Clifton ◽  
Jennifer B. Keogh
Keyword(s):  
Type 2 Diabetes ◽  
Nutrient Intake ◽  
Epidemiological Studies ◽  
Food Record ◽  
Limits Of Agreement ◽  
Individual Level ◽  
Weighed Food Record ◽  
Food And Nutrient Intake

AbstractThe Dietary Questionnaire for Epidemiological Studies version 2 (DQES v2) FFQ has not been validated in adults with diabetes. The aim was to determine the agreement between the DQES v2 FFQ and a 3-d weighed food record (WFR) and 24-h urinalysis in adults with type 1 and type 2 diabetes. The DQES v2 FFQ and a 3-d WFR were completed on one occasion for measurement of food and nutrient intake. A 24-h urine sample was provided for measurement of Na and K excretion. Participants were sixty-seven adults with type 1 and type 2 diabetes recruited from the community. Nutrient intake reported in the FFQ was within 20 % of the corresponding intake level reported in the WFR for the majority of nutrients. However, the 95 % limits of agreement showed large variation at an individual level between the two methods. There was a weak to moderate correlation between nutrient intake measured using the two methods and a moderate to high correlation for food intake. Quintile analysis showed that for the majority of foods and nutrients >60 % of participants were ranked within 1 quintile of the WFR ranking. The weighted κ values showed slight to moderate agreement between the two methods. Na intake was under-estimated in the FFQ by 25 % and K intake was over-estimated by 5 % compared with the 24-h urinalysis. In adults with type 1 and type 2 diabetes, it is appropriate to use the DQES v2 FFQ to measure food and nutrient intake at a group level.

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