scholarly journals A Dietary Assessment App for Hospitalized Patients at Nutritional Risk: Development and Evaluation of the MyFood App (Preprint)

2018 ◽  
Author(s):  
Mari Mohn Paulsen ◽  
Martina Lovise Lindhart Hagen ◽  
Marte Hesvik Frøyen ◽  
Rikke Julie Foss-Pedersen ◽  
Dagfinn Bergsager ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Dietary Assessment ◽  
Hospital Setting ◽  
Reference Method ◽  
Hospitalized Patients ◽  
Assessment System ◽  
University Hospital ◽  
Nutritional Risk ◽  
Food Groups ◽  
Food And Beverage

BACKGROUND Disease-related malnutrition is a common challenge among hospitalized patients. There seems to be a lack of an effective system to follow-up nutritional monitoring and treatment of patients at nutritional risk after risk assessment. We identify a need for a more standardized system to prevent and treat disease-related malnutrition. OBJECTIVE We aimed to develop a dietary assessment app for tablets for use in a hospital setting and to evaluate the app’s ability to measure individual intake of energy, protein, liquid, and food and beverage items among hospitalized patients for two days. We also aimed to measure patients’ experiences using the app. METHODS We have developed the MyFood app, which consists of three modules: 1) collection of information about the patient, 2) dietary assessment function, and 3) evaluation of recorded intake compared to individual needs. We used observations from digital photography of the meals, combined with partial weighing of the meal components, as a reference method to evaluate the app’s dietary assessment system for two days. Differences in the intake estimations of energy, protein, liquid, and food and beverage items between MyFood and the photograph method were analyzed on both group and individual level. RESULTS Thirty-two patients hospitalized at Oslo University Hospital were included in the study. The data collection period ran from March to May 2017. About half of the patients had ≥90% agreement between MyFood and the photograph method for energy, protein, and liquid intake on both recording days. Dinner was the meal with the lowest percent agreement between methods. MyFood overestimated patients’ intake of bread and cereals and underestimated fruit consumption. Agreement between methods increased from day 1 to day 2 for bread and cereals, spreads, egg, yogurt, soup, hot dishes, and desserts. Ninety percent of participants reported that MyFood was easy to use, and 97% found the app easy to navigate. CONCLUSIONS We developed the MyFood app as a tool to monitor dietary intake among hospitalized patients at nutritional risk. The recorded intake of energy, protein, and liquid using MyFood showed good agreement with the photograph method for the majority of participants. The app’s ability to estimate intake within food groups was good, except for bread and cereals which were overestimated and fruits which were underestimated. The app was well accepted among study participants and has the potential to be a dietary assessment tool for use among patients in clinical practice.

scholarly journals Integrating Dietary Data into Microbiome Studies: A Step Forward for Nutri-Metaomics

Nutrients ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2978
Author(s):  
Francisca Yáñez ◽  
Zaida Soler ◽  
Manon Oliero ◽  
Zixuan Xie ◽  
Iñigo Oyarzun ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Dietary Assessment ◽  
Intraclass Correlation ◽  
Saturated Fat ◽  
Reference Method ◽  
Wilcoxon Test ◽  
Rrna Gene ◽  
Food Groups ◽  
Microbial Composition ◽  
Microbiome Composition

Diet is recognised as the main driver of changes in gut microbiota. However, linking habitual dietary intake to microbiome composition and activity remains a challenge, leaving most microbiome studies with little or no dietary information. To fill this knowledge gap, we conducted two consecutive studies (n = 84: a first pilot study (n = 40) to build a web-based, semi-quantitative simplified FFQ (sFFQ) based on three 24-h dietary recalls (24HRs); a second study (n = 44) served to validate the newly developed sFFQ using three 24HRs as reference method and to relate gut microbiome profiling (16S rRNA gene) with the extracted dietary and lifestyle data. Relative validation analysis provided acceptable classification and agreement for 13 out of 24 (54%) food groups and 20 out of 29 nutrients (69%) based on intraclass correlation coefficient, cross-classification, Spearman’s correlation, Wilcoxon test, and Bland–Altman. Microbiome analysis showed that higher diversity was positively associated with age, vaginal birth, and intake of fruit. In contrast, microbial diversity was negatively associated with BMI, processed meats, ready-to-eat meals, sodium, and saturated fat. Our analysis also revealed a correlation between food groups or nutrients and microbial composition. Overall, we provide the first dietary assessment tool to be validated and correlated with microbiome data for population studies.

scholarly journals A cross-sectional assessment of food- and nutrient-based standards applied to British schoolchildren’s packed lunches

2016 ◽  
Vol 20 (3) ◽  
pp. 565-570 ◽  
Author(s):  
Charlotte EL Evans ◽  
Janet E Cade
Keyword(s):  
Primary Schools ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Quality Score ◽  
Food Groups ◽  
Multilevel Regression ◽  
Optimal Model ◽  
Cross Sectional ◽  
The Uk ◽  
Dietary Data

AbstractObjectiveIn England, standards for school meals included both foods and nutrients until 2015. School policies for packed lunches are generally food based; research is needed to determine whether these are adequate or whether a small number of nutrients would potentially improve their quality.DesignFrom dietary data obtained using a weighed dietary assessment tool, a diet quality score (DQS) for packed lunches was calculated using the number of standards met out of twenty-one (eight foods and thirteen nutrients). Multilevel regression analysis determined the foods and nutrients contributing to variation in the DQS.SettingEighty-nine primary schools across the four regions of the UK (England, Wales, Scotland and Northern Ireland).SubjectsBritish schoolchildren (n 1294), aged 8–9 years, taking a packed lunch.ResultsThe optimal model included all eight foods and seven of the thirteen nutrients, explaining 72 % of the variance in DQS. Folate, Fe and vitamin C, together with the eight food groups, explained 70 % of DQS variation.ConclusionsIdeally, policies for school packed lunches should include food-based standards plus recommendations based on a small number of nutrients.

scholarly journals Frequently Consumed Foods and Energy Contributions among Food Secure and Insecure U.S. Children and Adolescents

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 304 ◽  
Author(s):  
Heather A. Eicher-Miller ◽  
Carol J. Boushey ◽  
Regan L. Bailey ◽  
Yoon Jung Yang
Keyword(s):  
Food Security ◽  
Children And Adolescents ◽  
Dietary Assessment ◽  
Age Groups ◽  
Assessment Tools ◽  
Nutritional Risk ◽  
Food Groups ◽  
Dietary Recommendations ◽  
Chi Square ◽  
Food Security Status

Food insecurity is associated with nutritional risk in children. This study identified and compared the most frequently consumed foods, beverages, and food groups and their contributions to energy intake among U.S. children and adolescents (6–11, 12–17 years) by food security status. Dietary intake from the day-1, 24-h dietary recall, and household child food security status were analyzed in the 2007–2014 National Health and Nutrition Examination Survey (n = 8123). Foods and beverages were classified into food categories, ranked, and compared by weighted proportional frequency and energy contribution for food security groups by age. Significant differences between household child food security groups were determined using the Rao-Scott modified chi-square statistic. The weighted proportional frequency of beverages (including diet, sweetened, juice, coffee, and tea) and their energy was significantly higher among food insecure compared with food secure while the reverse was true for water frequency among 12–17 years. Beverage and mixed dish frequency were higher among food insecure compared with food secure 6–11 years while the reverse was true for frequency and energy from snacks. Frequency-differentiated intake patterns for beverages and snacks by food security across age groups may inform dietary recommendations, population-specific dietary assessment tools, interventions, and policy for food insecure children.

scholarly journals Acculturation and dietary habits of Korean Americans

2004 ◽  
Vol 91 (3) ◽  
pp. 469-478 ◽  
Author(s):  
Jeongseon Kim ◽  
Mabel M. Chan
Keyword(s):  
New York ◽  
Dietary Habits ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Korean Americans ◽  
Food Groups ◽  
Validity And Reliability ◽  
Nutrient Intakes ◽  
Brown Sugar ◽  
Total Fat

This is the first study to investigate how food and nutrient intakes vary with the levels of acculturation of Korean Americans using a dietary assessment tool tested for validity and reliability. The respondents were Korean Americans (n 486) resident in the Greater New York metropolitan area, USA. They were divided into two groups according to the total score of acculturation: low- and high-acculturated groups. Using a food-frequency questionnaire and a modified Suinn-Lew Asian self-identity acculturation scale, differences in the frequencies of food items, food groups and nutrient intakes consumed were analysed by level of acculturation. The low-acculturated group tended to consume significantly more rice, mixed rice, soyabean paste chigae (pot stew), saengsun (fish) chigae, kimchi chigae, other fish broiled or baked, eggs, kimchi, spinach, persimmons, and white or brown sugar in coffee or tea. The high-acculturated group demonstrated a statistically greater tendency to consume bread, cereal, spaghetti, ham, green salad, sweetcorn, chocolate, candies and diet soft drinks. The more acculturated an individual, the more significant was the tendency to consume sweets. The more acculturated group had significantly (P<0·05) higher intakes of % energy from total fat, thiamin, vitamin E and folate, while the low-acculturated group consumed greater amounts of Na, niacin and dietary fibre. The information from the present study can be used to describe dietary habits according to various aspects of acculturation, and allows a better understanding of the dynamics of acculturation and dietary habits.

scholarly journals Evaluation of Pictorial Dietary Assessment Tool for Hospitalized Patients with Diabetes: Cost, Accuracy, and User Satisfaction Analysis

Nutrients ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 27 ◽  
Author(s):  
Dwi Budiningsari ◽  
Suzana Shahar ◽  
Zahara Abdul Manaf ◽  
Nor Mohd Nordin ◽  
Susetyowati Susetyowati
Keyword(s):  
User Satisfaction ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Hospitalized Patients ◽  
Patients With Diabetes ◽  
Satisfaction Analysis

scholarly journals DINO (Diet In Nutrients Out) – an integrated dietary assessment system

2014 ◽  
Vol 18 (2) ◽  
pp. 234-241 ◽  
Author(s):  
Emily Fitt ◽  
Darren Cole ◽  
Nida Ziauddeen ◽  
David Pell ◽  
Elizabeth Stickley ◽  
...  
Keyword(s):  
Dietary Assessment ◽  
Data Entry ◽  
Training Programme ◽  
Assessment System ◽  
Small Scale ◽  
Food Groups ◽  
Dietary Recommendations ◽  
Nutrition Research ◽  
Human Nutrition Research ◽  
Portion Sizes

AbstractObjectiveThe current paper describes Diet In Nutrients Out (DINO), an integrated dietary assessment system incorporating dietary data entry and nutritional analysis within one platform for use in dietary assessment in small-scale intervention studies to national surveys.DesignDINO contains >6000 food items, mostly aggregated composites of branded foods, across thirty-one main food groups divided into 151 subsidiary groups for detailed reporting requirements, with fifty-three core nutrient fields.SettingMRC Human Nutrition Research (HNR), Cambridge, UK and MRC Keneba, Gambia.SubjectsDINO is used across dietary assessment projects at HNR and MRC Keneba.ResultsDINO contains macro- and micronutrients as well as additional variables of current research and policy interest, such as caffeine, whole grains, vitamin K and added sugars. Disaggregated data are available for fruit, vegetables, meat, fish and cheese in composite foods, enabling greater accuracy when reporting food consumption or assessing adherence to dietary recommendations. Portion sizes are categorised in metric and imperial weights, with standardised portion sizes for each age group. Regular reviews are undertaken for portion sizes and food composition to ensure contemporary relevance. A training programme and a checking schedule are adhered to for quality assurance purposes, covering users and data. Eating context questions are integrated to record where and with whom the respondent is eating, allowing examination between these factors and the foods consumed.ConclusionsAn up-to-date quality-assured system for dietary assessment is crucial for nutritional surveillance and research, but needs to have the flexibility to be tailored to address specific research questions.

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

scholarly journals Reproducibility and validity of dietary patterns identified using factor analysis among Chinese populations

2016 ◽  
Vol 116 (5) ◽  
pp. 842-852 ◽  
Author(s):  
Xin Hong ◽  
Qing Ye ◽  
Zhiyong Wang ◽  
Huafeng Yang ◽  
Xupeng Chen ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Protein Pattern ◽  
Dietary Assessment ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Reference Method ◽  
Plant Protein ◽  
Food Groups

AbstractIn the present study, we evaluated the reproducibility and validity of dietary patterns among Chinese adult populations. A random subsample of 203 participants (aged 31–80 years) from a community-based nutrition and health survey was enrolled. An eighty-seven-item FFQ was administered twice (FFQ1 and FFQ2) 1 year apart; four 3 consecutive day, 24-h dietary recalls (24-HDR, as a reference method) were performed between the administrations of the two FFQ every 3 months. Dietary patterns from three separate dietary sources were derived using factor analysis based on twenty-eight predefined food groups. Comparisons between dietary pattern scores were made by using Pearson’s or intraclass correlation coefficients (ICC), cross-classification analysis, weighted κ statistic and Bland–Altman plots; the four major dietary patterns identified from FFQ1, FFQ2 and 24-HDR were similar. Regarding reproducibility, ICC for z-scores between FFQ1 and FFQ2 were all >0·6 for dietary patterns. The ‘animal and plant protein’ pattern had the highest ICC of 0·870. For validity, the adjusted Pearson’s correlation coefficients for dietary pattern z-scores between two FFQ and the mean of four 3 consecutive day 24-HDR ranged from 0·387 for the ‘Chinese traditional’ pattern to 0·838 for the ‘animal and plant protein’ pattern. More than 75 % of the participants were classified into the same or adjacent quartile, and <5 % were misclassified into opposite quartiles. The weighted κ ranged from 0·259 to 0·680. Bland–Altman plots indicated that no significant deviation was found between two dietary assessment methods. Our findings indicate a good reasonable reproducibility and a reasonable validity of dietary patterns derived by factor analysis in China.

scholarly journals Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 621 ◽  
Author(s):  
Lyndal Wellard-Cole ◽  
Juliana Chen ◽  
Alyse Davies ◽  
Adele Wong ◽  
Sharon Huynh ◽  
...  
Keyword(s):  
Dietary Assessment ◽  
Correlation Coefficients ◽  
Reference Method ◽  
Highly Educated ◽  
Signed Rank ◽  
Valid Data ◽  
Food And Beverage ◽  
Eating Out ◽  
Acceptable Agreement ◽  
Collection Methods

(1) Background: Smartphone dietary assessment apps can be acceptable and valid data collection methods but have predominantly been validated in highly educated women, and none specifically measured eating-out habits in young adults. (2) Methods: Participants recorded their food and beverage consumption for three days using the Eat and Track (EaT) app, and intakes were compared with three dietitian-administered 24-h recall interviews matched to the same days as the reference method. Wilcoxon signed-rank or t-tests, correlation coefficients and Bland–Altman plots assessed agreement between the two methods for energy and percentage energy from nutrients (%E). (3) Results: One hundred and eighty nine of 216 participants (54% females, 60% resided in higher socioeconomic areas, 49% university-educated) completed the study. There were significant differences in median energy intake between methods (p < 0.001), but the EaT app had acceptable agreement for most nutrient densities at the group level. Correlation coefficients ranged from r = 0.56 (%E fat) to 0.82 (%E sugars), and between 85% and 94% of participants were cross-classified into the same or adjacent quartiles. Bland–Altman plots showed wide limits of agreement but no obvious biases for nutrient densities except carbohydrate in males. (4) Conclusions: The EaT app can be used to assess group nutrient densities in a general population of 18-to-30-year olds.

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