scholarly journals Validation of MEDFICTS Dietary Assessment Questionnaire in Turkish Population

2021 ◽  
pp. 1-13
Author(s):  
Zeynep Göktaş ◽  
Derya Dikmen ◽  
Neslişah Rakıcıoğlu
Keyword(s):  
Assessment Tool ◽  
Dietary Assessment ◽  
Turkish Population ◽  
Fat Intake ◽  
Food Record ◽  
Operating Characteristics ◽  
Roc Curve Analysis ◽  
Baked Goods ◽  
Fried Foods ◽  
Total Fat

Abstract Objective: The purpose of this study was to assess the validity of MEDFICTS (Meats, Eggs, Dairy, Fried foods, fat In baked goods, Convenience foods, fats added at the Table, Snacks) questionnaire in Turkish population. Design: MEDFICTS questionnaire is a brief dietary assessment tool developed as part of the National Cholesterol Education Program (NCEP) Adult Treatment Panel (ATP) guidelines and it measures the adherence to Step 1 and Step 2 diets that are recommended for the prevention and treatment of cardiovascular diseases (CVD). MEDFICTS questionnaire was administered with 3-day food record to compare overall dietary fat intake. Setting: This study was conducted at the Hacettepe University (Ankara, Turkey) in 2017. Participants: Subjects were university students, recruited from several departments of Hacettepe University by trained dietitians. A total of 442 adults (249 females and 194 males) between the ages of 18-31 years participated in the study. Students with CVD were excluded. Results: Total fat intake ratio was higher than the recommended level for both males and females (39.4% and 39.9%, respectively). Mean MEDCISTS score was 66.3 ± 27.24 points. Total energy, total fat, SFA, and cholesterol intakes from 3-day food records within the different MEDFICTS diet groups significantly differed (p<0.001 for all). Receiver operating characteristics (ROC) curve analysis demonstrated that a cut-off point of 60 showed 80% sensitivity and 65% specificity. Conclusions: Our data indicates that MEDFICTS questionnaire is moderately accurate, however, sensitivity analysis did not demonstrate the recommended 40 points as an optimal cut-off point for Turkish population.

scholarly journals Effect of Manual Data Cleaning on Nutrient Intakes using the Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24)

2021 ◽  
Author(s):  
Yasmine Y Bouzid ◽  
Joanne E Arsenault ◽  
Ellen L Bonnel ◽  
Eduardo Cervantes ◽  
Annie Kan ◽  
...  
Keyword(s):  
Energy Intake ◽  
Assessment Tool ◽  
Data Cleaning ◽  
Dietary Assessment ◽  
Assessment Tools ◽  
Energy Requirements ◽  
Nutrient Intakes ◽  
Significant Difference ◽  
Before And After ◽  
Total Fat

Abstract Background Automated dietary assessment tools such as ASA24® are useful for collecting 24-hour recall data in large-scale studies. Modifications made during manual data cleaning may affect nutrient intakes. Objectives We evaluated the effects of modifications made during manual data cleaning on nutrients intakes of interest: energy, carbohydrate, total fat, protein, and fiber. Methods Differences in mean intake before and after data cleaning modifications for all recalls and average intakes per subject were analyzed by paired t-tests. Chi-squared test was used to determine whether unsupervised recalls had more open-ended text responses that required modification than supervised recalls. We characterized food types of text response modifications. Correlations between predictive energy requirements, measured total energy expenditure (TEE), and mean energy intake from raw and modified data were examined. Results After excluding 11 recalls with invalidating technical errors, 1499 valid recalls completed by 393 subjects were included in this analysis. We found significant differences before and after modifications for energy, carbohydrate, total fat, and protein intakes for all recalls (p &lt; 0.05). Limiting to modified recalls, there were significant differences for all nutrients of interest, including fiber (p &lt; 0.02). There was not a significantly greater proportion of text responses requiring modification for home compared to supervised recalls (p = 0.271). Predicted energy requirements correlated highly with TEE. There was no significant difference in correlation of mean energy intake with TEE for modified compared to raw data. Mean intake for individual subjects was significantly different for energy, protein, and fat intakes following cleaning modifications (p &lt; 0.001). Conclusions Manual modifications can change mean nutrient intakes for an entire cohort and individuals. However, modifications did not significantly affect correlation of energy intake with predictive requirements and measured expenditure. Investigators can consider their research question and nutrients of interest when deciding to make cleaning modifications.

scholarly journals Assessment of Dietary Intake Among South Asian Adults in the United States

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 124-124
Author(s):  
Nurgul Fitzgerald ◽  
Shailja Mathur
Keyword(s):  
United States ◽  
Dietary Intake ◽  
Energy Intake ◽  
South Asian ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
The United States ◽  
Management Program ◽  
Convenience Sample ◽  
Total Fat

Abstract Objectives To examine the dietary intake patterns of South Asian adults by using three different assessment methods. Methods The participants were a convenience sample of 62 adults from South Asian descent, who lived in the United States and participated in a community-based diabetes self-management program. Dietary intake data were collected through Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24), self-administered Diet History Questionnaire III (self-DHQ), and researcher-administered DHQ III (res-DHQ) (National Cancer Institute). Thirty-seven participants completed ASA24 and self-DHQ back-to-back during in-person sessions, and 25 participants completed res-DHQ through video conferencing sessions with the researcher. Group level data were examined using IBM SPSS Statistics software. Results On average, participants’ daily energy intake levels were estimated to be 805.8 ± 551.3, 1686.4 ± 985.9 and 1469.7 ± 887.5 kcal/d by self-DHQ, ASA24, and res-DHQ, respectively. Self-DHQ produced the lowest of the estimates (mean ± SD) for daily protein (28.9 ± 18.8 vs 63.1 ± 35.2, and 53.1 ± 27.9 g/d), carbohydrate (106.4 ± 68.0 vs 224.9 ± 128.4 and 199.9 ± 119.7 g/d), and total fat (31.7 ± 29.2 vs. 63.5 ± 46.5 and 56.2 ± 40.9 g/d) intakes in comparison to ASA24 and res-DHQ, respectively. Conclusions In this study, self-administered DHQ produced substantially lower estimates of daily macronutrient and energy intake levels. The ASA24 or researcher-administered DHQ were relatively more reliable methods of dietary assessment in this sample of South Asian adults. Funding Sources NJ Department of Health, Office of Minority and Multicultural Health.

scholarly journals Accuracy and Cost-effectiveness of Technology-Assisted Dietary Assessment Comparing the Automated Self-administered Dietary Assessment Tool, Intake24, and an Image-Assisted Mobile Food Record 24-Hour Recall Relative to Observed Intake: Protocol for a Randomized Crossover Feeding Study (Preprint)

2021 ◽  
Author(s):  
Clare Whitton ◽  
Janelle D Healy ◽  
Clare E Collins ◽  
Barbara Mullan ◽  
Megan E Rollo ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Assessment Methods ◽  
Food Record ◽  
Chi Square ◽  
Feeding Study ◽  
Dietary Assessment Methods ◽  
24 Hour Recall ◽  
Chi Square Tests

BACKGROUND The assessment of dietary intake underpins population nutrition surveillance and nutritional epidemiology and is essential to inform effective public health policies and programs. Technological advances in dietary assessment that use images and automated methods have the potential to improve accuracy, respondent burden, and cost; however, they need to be evaluated to inform large-scale use. OBJECTIVE The aim of this study is to compare the accuracy, acceptability, and cost-effectiveness of 3 technology-assisted 24-hour dietary recall (24HR) methods relative to observed intake across 3 meals. METHODS Using a controlled feeding study design, 24HR data collected using 3 methods will be obtained for comparison with observed intake. A total of 150 healthy adults, aged 18 to 70 years, will be recruited and will complete web-based demographic and psychosocial questionnaires and cognitive tests. Participants will attend a university study center on 3 separate days to consume breakfast, lunch, and dinner, with unobtrusive documentation of the foods and beverages consumed and their amounts. Following each feeding day, participants will complete a 24HR process using 1 of 3 methods: the Automated Self-Administered Dietary Assessment Tool, Intake24, or the Image-Assisted mobile Food Record 24-Hour Recall. The sequence of the 3 methods will be randomized, with each participant exposed to each method approximately 1 week apart. Acceptability and the preferred 24HR method will be assessed using a questionnaire. Estimates of energy, nutrient, and food group intake and portion sizes from each 24HR method will be compared with the observed intake for each day. Linear mixed models will be used, with 24HR method and method order as fixed effects, to assess differences in the 24HR methods. Reporting bias will be assessed by examining the ratios of reported 24HR intake to observed intake. Food and beverage omission and intrusion rates will be calculated, and differences by 24HR method will be assessed using chi-square tests. Psychosocial, demographic, and cognitive factors associated with energy misestimation will be evaluated using chi-square tests and multivariable logistic regression. The financial costs, time costs, and cost-effectiveness of each 24HR method will be assessed and compared using repeated measures analysis of variance tests. RESULTS Participant recruitment commenced in March 2021 and is planned to be completed by the end of 2021. CONCLUSIONS This protocol outlines the methodology of a study that will evaluate the accuracy, acceptability, and cost-effectiveness of 3 technology-enabled dietary assessment methods. This will inform the selection of dietary assessment methods in future studies on nutrition surveillance and epidemiology. CLINICALTRIAL Australian New Zealand Clinical Trials Registry ACTRN12621000209897; https://tinyurl.com/2p9fpf2s INTERNATIONAL REGISTERED REPORT DERR1-10.2196/32891

scholarly journals Exploring the Feasibility of Use of An Online Dietary Assessment Tool (myfood24) in Women with Gestational Diabetes

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1147 ◽  
Author(s):  
Carla Gianfrancesco ◽  
Zoe Darwin ◽  
Linda McGowan ◽  
Debbie Smith ◽  
Roz Haddrill ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Structured Interview ◽  
Clinical Population ◽  
Management Tool ◽  
Food Record ◽  
Dietary Recall ◽  
Lower Socioeconomic ◽  
System Usability Scale

myfood24 is an online 24 hr dietary recall tool developed for nutritional epidemiological research. Its clinical application has been unexplored. This mixed methods study explores the feasibility and usability of myfood24 as a food record in a clinical population, women with gestational diabetes (GDM). Women were asked to complete five myfood24 food records, followed by a user questionnaire (including the System Usability Scale (SUS), a measure of usability), and were invited to participate in a semi-structured interview. Of the 199 participants, the mean age was 33 years, mean booking body mass index (BMI) 29.7 kg/m2, 36% primiparous, 57% White, 33% Asian. Of these, 121 (61%) completed myfood24 at least once and 73 (37%) completed the user questionnaire; 15 were interviewed. The SUS was found to be good (mean 70.9, 95% CI 67.1, 74.6). Interviews identified areas for improvement, including optimisation for mobile devices, and as a clinical management tool. This study demonstrates that myfood24 can be used as an online food record in a clinical population, and has the potential to support self-management in women with GDM. However, results should be interpreted cautiously given the responders’ demographic characteristics. Further research to explore the barriers and facilitators of uptake in people from ethnic minority and lower socioeconomic backgrounds is recommended.

Nutritional Habits of Flemish Adolescent Sprint Athletes

2008 ◽  
Vol 18 (5) ◽  
pp. 509-523 ◽  
Author(s):  
Dirk Aerenhouts ◽  
Marcel Hebbelinck ◽  
Jacques R. Poortmans ◽  
Peter Clarys
Keyword(s):  
Energy Intake ◽  
Fruits And Vegetables ◽  
Dietary Habits ◽  
Daily Intake ◽  
Saturated Fat ◽  
Track And Field ◽  
Fat Intake ◽  
Food Record ◽  
Weighed Food Record ◽  
Total Fat

Purpose and Methods:To investigate dietary habits of Flemish adolescent track and field athletes using a 7-d weighed-food record. Besides adequacy for growth, development, and physical performance, dietary health aspects were considered.Results:Twenty-nine girls and 31 boys, with minimum 2 yr of track and field training practice, were recruited. All participants had daily breakfast (girls 22.5% ± 5.5% of total energy intake [TEI]; boys 19.8% ± 7.3%). Fruit in girls and juices and sports drinks in boys were consumed mostly between meals (girls 21.3% ± 8.1% of TEI; boys 24.3% ± 10.1%). Soft drinks contributed considerably to energy intake between meals in both sexes. Protein intake (1.5 ± 0.3 g · kg–1 · d−1 for both sexes) was within the recommended daily intake (RDI) for strength athletes. Mean daily carbohydrate intake in girls was lower than in boys (girls 5.1 ± 1.1 g/kg; boys 6.0 ± 0.9 g/kg), with mono- and disaccharides contributing 26% to TEI in both sexes. Total fat intake was above 30% of TEI in more than half the participants, and only 10 participants had a saturated-fat intake below 10% of TEI. Fiber intake (girls 23.7 ± 7.9 g; boys 29.1 ± 11.2 g) was far below the Belgian RDI. Intake of vitamins and minerals were generally low, despite micronutrient supplementation in 37.5% of the participants.Conclusion:Few athletes reached all nutrient RDIs. Unhealthy food habits with regard to refined sugars, fat, and micronutrients were observed. These adolescent sprinters should be encouraged to consume more nonsweetened beverages, fruits, and vegetables.

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 Rx Food App: A Proof-of-Concept Study of an Image-Based Dietary Assessment Mobile Application

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1001-1001
Author(s):  
Katherine Jefferson ◽  
Elizabeth Choi ◽  
Derrick Lichti ◽  
Jeffrey Alfonsi ◽  
Barkha Patel ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Pearson Correlation ◽  
Item Analysis ◽  
Dietary Assessment ◽  
Correlation Coefficients ◽  
Nutritional Composition ◽  
Nutrient Composition ◽  
Single Item ◽  
Food Items ◽  
Total Fat

Abstract Objectives To determine if Rx Food, an image-based dietary assessment app powered by artificial intelligence, can derive comparable nutritional composition estimates compared to calculated methods. Sub-group analyses assessed differences between composite (i.e., multiple ingredients) and single item foods. Methods Food items were selected for testing based on their frequency of consumption among patients attending a weight management clinic. Food photos were uploaded, and serving sizes entered, into the app which generated estimated nutrient data. The nutritional composition of foods was also analyzed with ESHA Food Processor software. Nutrient estimates between the methods were compared using paired t-tests, Pearson correlation coefficients, and Bland-Altman plots for energy, carbohydrates, protein, total fat, fibre, total sugar and sodium. Results Thirty-nine food items were analyzed [n = 10 (27%) composite items and n = 29 (73%) single item foods]. There were no statistically significant differences in the mean differences in estimates from Rx Food and calculated values for all nutrients: −4.3 ± 29.2 kcal for energy, −0.4 ± 2.6 g for carbohydrates, −0.1 ± 1.9 g for protein, −0.3 ± 1.7 g for fat, −0.2 ± 2.3 g for fibre, 0.01 ± 1.4 g for sugar, and −33 ± 135 mg for sodium. Among all food items, a strong, significant correlation (r &gt; 0.80; P &lt; 0.05) was observed for all nutrients except fibre (r = 0.552; P &lt; 0.001). In the Bland-Altman plots for all foods, significant bias was found for fibre (r = 0.562; P &lt; 0.001), fat (r = 0.562; P = 0.025), and sodium (r = 0.359; P = 0.025), suggesting that Rx Food may underestimate nutrient composition at higher levels. Subgroup analyses of composite items showed significant strong correlations for energy, carbohydrates, protein, and sugar (r &gt; 0.80; P &lt; 0.05), significant moderate correlations (r = 0.60–0.79; P &lt; 0.05) for fat and fibre, but not for sodium (r = 0.591; P = 0.072). Single item analysis showed significant correlations for all nutrients (r &gt; 0.80; P &lt; 0.05). Conclusions This preliminary data shows that Rx Food has the potential to be an accurate, image-based, low burden tool to calculate nutrient composition of foods. These findings justify further research to determine the validity of Rx Food in its ability to generate accurate nutrient intake data as a dietary assessment tool. Funding Sources N/A.

scholarly journals Development and Validation of a Sustainable Diet Index among Malaysian Adults: Protocol

2021 ◽  
Vol 50 (6) ◽  
pp. 1697-1705
Author(s):  
Nur Fadzlina Zulkefli ◽  
Ming Moy Foong
Keyword(s):  
Climate Change ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Dietary Guidelines ◽  
Food Record ◽  
Eating Occasion ◽  
Sustainable Diet ◽  
Development And Validation ◽  
Diet Behaviour ◽  
Serving Size

Adopting a sustainable diet is an alternative to address the pandemics of obesity, undernutrition and climate change that are threatening human health. Sustainable diet considers the health aspect as well as the environmental impact of diets. There is a scarcity of research on sustainable diet and lack validated tools for its measurement. This article aimed to describe the protocol on the development and validation of a Sustainable Diet Index (SDI) among Malaysian adults. A Sustainable Diet Index (SDI) was developed based on previous studies and available dietary guidelines on sustainable diet. Five indicators (rice, animal-based food, plant-based food, food waste and packaging) were included in the SDI. The index will be validated among Malaysian adults using mobile food record as the dietary assessment tool. The index has the potential to measure the level of healthy and sustainable diet behaviour of an individual. The use of mobile food record provides images of each eating occasion for the evaluation of serving size and the information on waste management. Health and environmental impacts from the diet can be evaluated through the integration of all indicators in the SDI. The index developed is novel and expected to provide a feasible measurement to assess the level of sustainable diet of an individual.

scholarly journals 439Reproducibility and relative validity of dietary patterns in older New Zealand adults

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Karen Mumme ◽  
Cath Conlon ◽  
Pamela von Hurst ◽  
Beatrix Jones ◽  
Jamie de Seymour ◽  
...  
Keyword(s):  
New Zealand ◽  
Dietary Patterns ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Principal Component ◽  
Weighted Kappa ◽  
Negative Slope ◽  
Food Groups ◽  
Food Record ◽  
Relative Validity

Abstract Background Valid and reproducible dietary patterns (DP) are necessary to assess relationships between diet and disease. This study, Researching Eating, Activity, and Cognitive Health (REACH), assessed the reproducibility and relative validity of DPs derived from a food frequency questionnaire (FFQ) in older New Zealand adults. Methods Participants (n = 294, 70±3yrs, 37% male), completed two identical 109-item FFQs to assess reproducibility. A 4-day food record (4DFR) was used to assess relative validity. After collapsing data into 57 food groups, DPs were derived using principal component analysis. Agreement of DP loadings were assessed using Tucker’s congruence coefficient. Agreement between derived DP scores from the FFQs and 4-DFR were assessed using Spearman correlation coefficients, weighted kappa statistic, and Bland-Altman analysis. Results Three similar DPs (‘Mediterranean style’, ‘Western’ and ‘prudent’) were identified from each dietary assessment tool. Congruence coefficients between DP loadings ranged from 0.66-0.80 (reproducibility) and 0.54-0.75 (validity). Correlations of DP scores ranged from 0.47-0.59 (reproducibility) and 0.33-0.43 (validity) (all P&lt;0.001); weighted kappa scores ranged from 0.40-0.48 (reproducibility) and 0.27-0.37 (validity); limits of agreement from ±1.79 to ± 2.09 (reproducibility) and ±2.09 to ± 2.27 (validity); a negative slope of bias was seen in the ‘prudent’ pattern for reproducibility and validity (P&lt;0.001). Conclusions The FFQ derived DPs demonstrated acceptable reproducibility and relative validity and can be used to examine associations between DPs and health outcomes in older New Zealand adults. Key Message Valid DPs improve evidence for assessing DP and health outcome associations.

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