scholarly journals A dietary assessment tool to estimate arsenic and cadmium exposures from locally grown foods

2019 ◽  
Vol 42 (7) ◽  
pp. 2121-2135 ◽  
Author(s):  
Iliana Manjón ◽  
Mónica Ramírez-Andreotta
Keyword(s):  
Assessment Tool ◽  
Dietary Assessment ◽  
Locally Grown

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

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

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

scholarly journals The Provision of Assistance Does Not Substantially Impact the Accuracy of 24-Hour Dietary Recalls Completed Using the Automated Self-Administered 24-H Dietary Assessment Tool among Women with Low Incomes

2019 ◽  
Vol 149 (1) ◽  
pp. 114-122 ◽  
Author(s):  
Sharon I Kirkpatrick ◽  
Patricia M Guenther ◽  
Deirdre Douglass ◽  
Thea Zimmerman ◽  
Lisa L Kahle ◽  
...  
Keyword(s):  
Low Income ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Food Group ◽  
Supplemental Nutrition Assistance Program ◽  
Assistance Program ◽  
Plate Waste ◽  
Low Incomes ◽  
Portion Sizes ◽  
Nutrition Assistance

ABSTRACT Background Evidence is lacking informing the use of the Automated Self-Administered 24-h Dietary Assessment Tool (ASA24) with populations characterized by low income. Objective This study was conducted among women with low incomes to evaluate the accuracy of ASA24 recalls completed independently and with assistance. Methods Three hundred and two women, aged ≥18 y and with incomes below the Supplemental Nutrition Assistance Program thresholds, served themselves from a buffet; amounts taken as well as plate waste were unobtrusively weighed to enable calculation of true intake for 3 meals. The following day, women completed ASA24-2016 independently (n = 148) or with assistance from a trained paraprofessional in a small group (n = 154). Regression modeling examined differences by condition in agreement between true and reported foods; energy, nutrient, and food group intakes; and portion sizes. Results Participants who completed ASA24 independently and those who received assistance reported matches for 71.9% and 73.5% (P = 0.56) of items truly consumed, respectively. Exclusions (consumed but not reported) were highest for lunch (at which participants consumed approximately 2 times the number of distinct foods and beverages compared with breakfast and dinner). Commonly excluded foods were additions to main dishes (e.g., tomatoes in salad). On average, excluded foods contributed 43.6 g (46.2 kcal) and 40.1 g (43.2 kcal) among those in the independent and assisted conditions, respectively. Gaps between true and reported intake were different between conditions for folate and iron. Within conditions, significant gaps were observed for protein, vitamin D, and meat (both conditions); vitamin A, iron, and magnesium (independent); and folate, calcium, and vegetables (assisted). For foods and beverages for which matches were reported, no difference in the gap between true and reported portion sizes was observed by condition (P = 0.22). Conclusions ASA24 performed relatively well among women with low incomes; however, accuracy was somewhat lower than previously observed among adults with a range of incomes. The provision of assistance did not significantly impact accuracy.

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 < 0.05). Limiting to modified recalls, there were significant differences for all nutrients of interest, including fiber (p < 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 < 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 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.

THE BALANCED NUTRITION TEST: AN ONLINE DIETARY ASSESSMENT TOOL ADAPTED FROM THE SELF CHECK PROGRAM FOR USE IN TURKEY

Nutrition ◽  
2018 ◽  
Vol 55-56 ◽  
pp. S22-S23
Author(s):  
Dr. Burcu Aksoy ◽  
Deniz Miray Arca ◽  
Prof. Halit Tanju Besler
Keyword(s):  
Assessment Tool ◽  
Dietary Assessment ◽  
The Self

scholarly journals Determining the Validity And Reproducibility of A Feeding Assessment Tool to Assess Nutrient Intake in New Zealand Infants Aged 9 to 12 Months

Proceedings ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 53
Author(s):  
Amy Judd ◽  
Kathryn Beck ◽  
Chris McKinlay ◽  
Cathryn Conlon
Keyword(s):  
New Zealand ◽  
Growth And Development ◽  
Nutrient Intake ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Feeding Assessment

Background: Dietary assessment in infants is challenging but necessary to understand therelationship between nutrition and growth and development [...]

A pilot study to improve sugar and water consumption in Maltese school children

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
C. Copperstone ◽  
G. McNeill ◽  
L. Aucott ◽  
D.M. Jackson
Keyword(s):  
Water Consumption ◽  
School Children ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
School Setting ◽  
Overweight And Obesity ◽  
Dietary Factors ◽  
Post Intervention ◽  
Face To Face ◽  
Pilot Intervention

AbstractBackgroundExcessive sugar consumption remains implicated as one of the key dietary factors that has been linked to overweight and obesity in children. Schools have been identified as an important setting for health promotion interventions in children and can be successful in bringing about dietary behavioral change when well designed.ObjectiveThe main aim of the study was to conduct a pilot intervention study and assess the possible effects of educational and environmental methodological components on sugar intake and water consumption in Maltese school children.Subjects and methodsFace-to-face educational sessions for children and parents were supported by written materials and provision of free drinking water for children for a 12 week period in the school setting. Two main dietary outcomes were measured: non-milk extrinsic sugars(NMES) intake (measured as g/day) and water consumption (measured as servings/day), measured in the pre- and post-intervention periods. The dietary outcomes were measured at school using the novel online dietary assessment tool, REALITYMALTA™.Results55 children, aged 10-11 years, were recruited, and 48 provided diet data at baseline and end. A reduction in mean energy intakes was noted from 7733 kJ/day (SD 2046) to 6809 (SD 2224) kJ/day (p = 0.03), with water servings intake increased and NMES intake decreased but results not statistically significant. Parent attendance at the educational sessions was low.ConclusionsA larger scale study, including multi-level analysis is recommended. Modifying the content of the intervention and finding ways to increase parent engagement should be considered in future.

scholarly journals Usability Testing of the Automated Self-Administered 24-Hour Dietary Assessment Tool's Respondent Nutrition Report

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1368-1368
Author(s):  
Jennifer Lerman ◽  
Christine Kaefer ◽  
Amy Subar ◽  
Kirsten Herrick ◽  
Edwina Wambogo
Keyword(s):  
Assessment Tool ◽  
Dietary Assessment ◽  
Usability Testing ◽  
Target Population ◽  
Nutrition Information ◽  
External Information ◽  
Feedback Report ◽  
Eye Tracker ◽  
Personalized Nutrition ◽  
Education Levels

Abstract Objectives Providing nutrition feedback and advice to research participants based on reported dietary intake is feasible, but has not traditionally been undertaken in all settings. However, it is unclear how such feedback is received and understood by participants or the general public absent the guidance of a clinician or professional. We conducted usability testing to assess understanding of a report with personalized nutrition information to respondents who provided dietary data via the National Cancer Institute's Automated Self-Administered 24-hour (ASA24) Dietary Assessment tool. Methods Two rounds of usability testing (6 participants per round) were conducted in a laboratory equipped with an eye tracker, as well as audio and computer recording. Participants were recruited from the general population and represented a range of race/ethnicities, education levels, and ages. Trained moderators asked participants to freely explore a newly designed Respondent Nutrition Report (RNR) and then guided them through a series of questions designed to elicit information about whether nutrition information was understood and gather feedback on areas of confusion or misunderstanding. In addition to verbal feedback, participant interaction with the RNR was captured via gaze plots and heat maps. Results Participants requested additional informational text during round 1 of testing, and read text explanations when present in round 2. Participants preferred a narrow vs. wide design such that it would display easily on mobile devices. They focused on numbers enclosed by graphics and lingered on terminology that was unfamiliar or confusing. When large amounts of information were presented in graphs, attention was focused on the first few items presented but then decreased towards the end of rows and the bottom of the page. Highlighted text was not always attended to by participants. Verbal results indicated that choice of words for labels and explanatory text was critical and that participants desired links to more detailed external information when possible. Conclusions It is possible to design a personalized nutrition feedback report that is well understood by participants. Care should be taken with wording choices, extraneous information should be limited, and testing within the target population is advisable. Funding Sources None.

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