Abstract 029: The Automated Self-Administered 24-Hour Dietary Recall (ASA24): A Research Resource from the National Cancer Institute (NCI)

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Amy F Subar ◽  
Sharon I Kirkpatrick ◽  
Beth Mittl ◽  
Thea P Zimmerman ◽  
Frances E Thompson ◽  
...  
Keyword(s):  
Large Scale ◽  
Dietary Assessment ◽  
Software Tool ◽  
Food Group ◽  
Healthy Eating Index ◽  
Portion Size ◽  
Health Study ◽  
Food Level ◽  
High Quality ◽  
Language Version

Introduction: Extensive evidence has demonstrated that 24-hour dietary recalls (24HRs) provide high-quality dietary intake data with minimal bias, making them the preferred tool for nutrition monitoring and, potentially, for studying diet and disease associations. Traditional 24HRs, however, are expensive and impractical for large-scale research because they rely on trained interviewers, and require multiple administrations to estimate usual intakes. To address these challenges, NCI developed ASA24. System: The ASA24 system is a publicly available web-based software tool that enables automated and self-administered 24HRs for epidemiologic, intervention, behavioral, or clinical research. ASA24 consists of a Respondent application used by participants to enter recall data and a Researcher application used by researchers to manage study logistics and obtain nutrient and food level data. The format and design of the Respondent application are modeled on USDA’s interviewer-administered Automated Multiple Pass Method (AMPM) 24HR, which uses multi-level food probes to assess food types and amounts. A Beta version of ASA24, released in 2009, has been used by over 100 researchers to collect over 20,000 recalls. Version 1 of ASA24, released in September 2011, offers improved functionality, features, and usability. Respondents report their intakes using a list of foods and beverages from USDA’s most current Food and Nutrient Database for Dietary Studies (FNDDS 4.1). Multiple images are shown to help respondents estimate portion size. ASA24 allows respondents to: 1) find foods and beverages by browsing or searching, 2) move or copy a food or beverage to a different meal, edit a meal, adjust reported amounts, or correct double reports, 3) review a final list of the day’s intake, and 4) access help. Resulting data files include food codes, nutrients, and MyPyramid food group equivalents for each day and each food, as well as variables to calculate Healthy Eating Index scores. Additional optional modules querying location of meals, who one ate with, TV/computer use during meals, and supplement intake are available, as well as a Spanish language version. Evaluation: ASA24 will be compared to traditional interviewer-administered recalls in a large sample of adults and within a smaller feeding study. The measurement error structure of ASA24 will be evaluated against doubly-labeled water and multiple 24-hour urinary nitrogen collections in three large on-going cohorts (NCI’s AARP Diet and Health Study, and Harvard’s Nurses Health Study and Health Professionals Follow-up Study). Conclusion: ASA24 has the potential to improve dietary assessment by enhancing the feasibility and cost-effectiveness of collecting high-quality dietary data.

scholarly journals Portion size estimation in dietary assessment: a systematic review of existing tools, their strengths and limitations

2020 ◽  
Vol 78 (11) ◽  
pp. 885-900 ◽  
Author(s):  
Birdem Amoutzopoulos ◽  
Polly Page ◽  
Caireen Roberts ◽  
Mark Roe ◽  
Janet Cade ◽  
...  
Keyword(s):  
Dietary Assessment ◽  
Portion Size ◽  
Data Selection ◽  
Size Estimation ◽  
Key Factors ◽  
High Quality ◽  
3 Dimensional ◽  
Food Image ◽  
Portion Size Estimation

Abstract Context Overestimation or underestimation of portion size leads to measurement error during dietary assessment. Objective To identify portion size estimation elements (PSEEs) and evaluate their relative efficacy in relation to dietary assessment, and assess the quality of studies validating PSEEs. Data Selection and Extraction Electronic databases, internet sites, and cross-references of published records were searched, generating 16 801 initial records, from which 334 records were reviewed and 542 PSEEs were identified, comprising 5% 1-dimensional tools (eg, food guides), 46% 2-dimensional tools (eg, photographic atlases), and 49% 3-dimensional tools (eg, household utensils). Out of 334 studies, 21 validated a PSEE (compared PSEE to actual food amounts) and 13 compared PSEEs with other PSEEs. Conclusion Quality assessment showed that only a few validation studies were of high quality. According to the findings of validation and comparison studies, food image–based PSEEs were more accurate than food models and household utensils. Key factors to consider when selecting a PSEE include efficiency of the PSEE and its applicability to targeted settings and populations.

Abstract P230: Vitamin E Supplementation and Cardiovascular Disease: Is There Effect Modification by Baseline Diet Quality and Vitamin E Intake?

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Susanne Rautiainen ◽  
J. Michael Gaziano ◽  
William G Christen ◽  
Vadim Bubes ◽  
Gregory Kotler ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Vitamin E ◽  
Diet Quality ◽  
Lower Risk ◽  
Large Scale ◽  
Healthy Eating Index ◽  
Effect Modification ◽  
Health Study ◽  
Supplemental Vitamin ◽  
Vitamin E Supplementation

Background: Large-scale trials have not supported a role of vitamin E supplementation in reducing the risk of cardiovascular disease (CVD). We investigated whether baseline diet quality and vitamin E intake modified the effect of randomized vitamin E supplementation on the risk of CVD in the Physicians’ Health Study II (PHS II). Methods: The PHS II was a randomized, double-blind, placebo-controlled trial testing 400 IU synthetic α-tocopherol on alternate days. 14,641 men aged ≥50 years were included. 13,316 men (91%) completed a 116-item food frequency questionnaire and were included in our intention-to-treat analysis. We examined effect modification by baseline diet quality as assessed by dietary patterns (tertiles of the Alternate Healthy Eating Index [AHEI] and Alternate Mediterranean Diet [AMED]), and by dietary and supplemental vitamin E intake. Results: During a mean 8.0 years of follow-up, baseline diet quality or vitamin E intake did not modify the effect of vitamin E use on the primary endpoint of major CVD events ( Table ). However, AHEI modified the effect of randomized vitamin E use on the secondary endpoint of MI (P, interaction=0.02), with a statistically significant 39% lower risk among men in the lowest tertile of the AHEI. A similar and statistically significant 37% lower risk of MI was observed in the lowest category of the AMED (P, interaction=0.08). There was no evidence that diet quality modified the effect of vitamin E use on risks of stroke or CVD mortality, and baseline dietary and supplemental vitamin E intake did not modify the effects on any outcome. Conclusion: Diet quality did not modify the effect of vitamin E supplementation on most CVD outcomes but did modify its effect on MI. Given concerns about multiple comparisons and the need for replication, our findings should be interpreted with caution.

scholarly journals How does a simplified recipe collection procedure in dietary assessment tools affect the food group and nutrient intake distributions of the population

2020 ◽  
Vol 124 (2) ◽  
pp. 189-198 ◽  
Author(s):  
Liangzi Zhang ◽  
Hendriek Boshuizen ◽  
Marga Ocké
Keyword(s):  
Nutrient Intake ◽  
Large Scale ◽  
Dietary Assessment ◽  
Original Data ◽  
Food Group ◽  
Assessment Tools ◽  
Food Diary ◽  
Data Set ◽  
Percentage Difference ◽  
The Impact

AbstractTechnology advancements have driven the use of self-administered dietary assessment methods in large-scale dietary surveys. Interviewer-assisted methods generally have a complicated recipe recording procedure enabling the adjustment from a standard recipe. In order to decide if this functionality can be omitted for self-administered dietary assessment, this study aimed to assess the extent of standard recipe modifications in the Dutch National Food Consumption Survey and measure the impact on the food group and nutrient intake distributions of the population when the modifications were disregarded. A two-scenario simulation analysis was conducted. Firstly, the individual recipe scenario omitted the full modifications to the standard recipes made by people who knew their recipes. Secondly, the modified recipe scenario omitted the modifications made by those who partially modified the standard recipe due to their limited knowledge. The weighted percentage differences for the nutrient and food group intake distributions between the scenarios and the original data set were calculated. The highest percentage of energy consumed through mixed dishes was 10 % for females aged 19–79 years. Comparing the combined scenario and the original data set, the average of the absolute percentage difference for the population mean intakes was 1·6 % across all food groups and 0·6 % for nutrients. The soup group (−6·6 %) and DHA (−2·3 %) showed the largest percentage difference. The recipe simplification caused a slight underestimation of the consumed amount of both foods (−0·2 %) and nutrients (−0·4 %). These results are promising for developing self-administered 24-hour recalls or food diary applications without complex recipe function.

scholarly journals Development of a field-friendly automated dietary assessment tool and nutrient database for India

2013 ◽  
Vol 111 (1) ◽  
pp. 160-171 ◽  
Author(s):  
Carrie R. Daniel ◽  
Kavita Kapur ◽  
Mary J. McAdams ◽  
Sujata Dixit-Joshi ◽  
Niveditha Devasenapathy ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Disease Risk ◽  
Dietary Assessment ◽  
Portion Size ◽  
Health Study ◽  
Eating Pattern ◽  
Dietary Recall ◽  
The North ◽  
Asian Populations ◽  
Nutrient Profiles

Studies of diet and disease risk in India and among other Asian-Indian populations are hindered by the need for a comprehensive dietary assessment tool to capture data on the wide variety of food and nutrient intakes across different regions and ethnic groups. The nutritional component of the India Health Study, a multicentre pilot cohort study, included 3908 men and women, aged 35–69 years, residing in three regions of India (New Delhi in the north, Mumbai in the west and Trivandrum in the south). We developed a computer-based, interviewer-administered dietary assessment software known as the ‘NINA-DISH (New Interactive Nutrition Assistant – Diet in India Study of Health)’, which consisted of four sections: (1) a diet history questionnaire with defined questions on frequency and portion size; (2) an open-ended section for each mealtime; (3) a food-preparer questionnaire; (4) a 24 h dietary recall. Using the preferred meal-based approach, frequency of intake and portion size were recorded and linked to a nutrient database that we developed and modified from a set of existing international databases containing data on Indian foods and recipes. The NINA-DISH software was designed to be easily adaptable and was well accepted by the interviewers and participants in the field. A predominant three-meal eating pattern emerged; however, patterns in the number of foods reported and the primary contributors to macro- and micronutrient intakes differed by region and demographic factors. The newly developed NINA-DISH software provides a much-needed tool for measuring diet and nutrient profiles across the diverse populations of India with the potential for application in other South Asian populations living throughout the world.

scholarly journals The impact of diet during adolescence on the neonatal health of offspring: evidence on the importance of preconception diet. The HUNT study

2020 ◽  
pp. 1-13
Author(s):  
Wendy Van Lippevelde ◽  
Frøydis N. Vik ◽  
Andrew K. Wills ◽  
Sofia T. Strömmer ◽  
Mary E. Barker ◽  
...  
Keyword(s):  
Dietary Assessment ◽  
Sociodemographic Factors ◽  
Neonatal Outcomes ◽  
Health Study ◽  
Physical And Mental Health ◽  
Birth Registry ◽  
Meal Patterns ◽  
Dietary Choices ◽  
The Impact ◽  
The Relationship

Abstract Emerging evidence suggests that parents’ nutritional status before and at the time of conception influences the lifelong physical and mental health of their child. Yet little is known about the relationship between diet in adolescence and the health of the next generation at birth. This study examined data from Norwegian cohorts to assess the relationship between dietary patterns in adolescence and neonatal outcomes. Data from adolescents who participated in the Nord-Trøndelag Health Study (Young-HUNT) were merged with birth data for their offspring through the Medical Birth Registry of Norway. Young-HUNT1 collected data from 8980 adolescents between 1995 and 1997. Linear regression was used to assess associations between adolescents’ diet and later neonatal outcomes of their offspring adjusting for sociodemographic factors. Analyses were replicated with data from the Young-HUNT3 cohort (dietary data collected from 2006 to 2008) and combined with Young-HUNT1 for pooled analyses. In Young-HUNT1, there was evidence of associations between dietary choices, meal patterns, and neonatal outcomes, these were similar in the pooled analyses but were attenuated to the point of nonsignificance in the smaller Young-HUNT3 cohort. Overall, energy-dense food products were associated with a small detrimental impact on some neonatal outcomes, whereas healthier food choices appeared protective. Our study suggests that there are causal links between consumption of healthy and unhealthy food and meal patterns in adolescence with neonatal outcomes for offspring some years later. The effects seen are small and will require even larger studies with more state-of-the-art dietary assessment to estimate these robustly.

Tiered Sampling

2021 ◽  
Vol 15 (5) ◽  
pp. 1-52
Author(s):  
Lorenzo De Stefani ◽  
Erisa Terolli ◽  
Eli Upfal
Keyword(s):  
Large Scale ◽  
Analysis Of Algorithms ◽  
Base Layer ◽  
Single Edge ◽  
Real World Data ◽  
High Quality ◽  
Large Graphs ◽  
Massive Graphs ◽  
Variance Estimate ◽  
Low Probability

We introduce Tiered Sampling , a novel technique for estimating the count of sparse motifs in massive graphs whose edges are observed in a stream. Our technique requires only a single pass on the data and uses a memory of fixed size M , which can be magnitudes smaller than the number of edges. Our methods address the challenging task of counting sparse motifs—sub-graph patterns—that have a low probability of appearing in a sample of M edges in the graph, which is the maximum amount of data available to the algorithms in each step. To obtain an unbiased and low variance estimate of the count, we partition the available memory into tiers (layers) of reservoir samples. While the base layer is a standard reservoir sample of edges, other layers are reservoir samples of sub-structures of the desired motif. By storing more frequent sub-structures of the motif, we increase the probability of detecting an occurrence of the sparse motif we are counting, thus decreasing the variance and error of the estimate. While we focus on the designing and analysis of algorithms for counting 4-cliques, we present a method which allows generalizing Tiered Sampling to obtain high-quality estimates for the number of occurrence of any sub-graph of interest, while reducing the analysis effort due to specific properties of the pattern of interest. We present a complete analytical analysis and extensive experimental evaluation of our proposed method using both synthetic and real-world data. Our results demonstrate the advantage of our method in obtaining high-quality approximations for the number of 4 and 5-cliques for large graphs using a very limited amount of memory, significantly outperforming the single edge sample approach for counting sparse motifs in large scale graphs.

scholarly journals Large-Scale and Deep-Seated Gravitational Slope Deformations on Mars: A Review

Geosciences ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 174
Author(s):  
Marco Emanuele Discenza ◽  
Carlo Esposito ◽  
Goro Komatsu ◽  
Enrico Miccadei
Keyword(s):  
Large Scale ◽  
High Quality ◽  
Surface Data ◽  
Geomorphological Processes ◽  
Gravitational Processes ◽  
Quality Surface ◽  
High Quality Surface ◽  
Mars Missions

The availability of high-quality surface data acquired by recent Mars missions and the development of increasingly accurate methods for analysis have made it possible to identify, describe, and analyze many geological and geomorphological processes previously unknown or unstudied on Mars. Among these, the slow and large-scale slope deformational phenomena, generally known as Deep-Seated Gravitational Slope Deformations (DSGSDs), are of particular interest. Since the early 2000s, several studies were conducted in order to identify and analyze Martian large-scale gravitational processes. Similar to what happens on Earth, these phenomena apparently occur in diverse morpho-structural conditions on Mars. Nevertheless, the difficulty of directly studying geological, structural, and geomorphological characteristics of the planet makes the analysis of these phenomena particularly complex, leaving numerous questions to be answered. This paper reports a synthesis of all the known studies conducted on large-scale deformational processes on Mars to date, in order to provide a complete and exhaustive picture of the phenomena. After the synthesis of the literature studies, the specific characteristics of the phenomena are analyzed, and the remaining main open issued are described.

57 Precision neoantigen discovery using novel algorithms and expanded HLA-ligandome datasets

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A62-A62
Author(s):  
Dattatreya Mellacheruvu ◽  
Rachel Pyke ◽  
Charles Abbott ◽  
Nick Phillips ◽  
Sejal Desai ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cell Lines ◽  
Antigen Processing ◽  
Large Scale ◽  
Prediction Models ◽  
K562 Cells ◽  
Machine Learning Algorithms ◽  
Training Data ◽  
High Quality ◽  
Tissue Samples

BackgroundAccurately identified neoantigens can be effective therapeutic agents in both adjuvant and neoadjuvant settings. A key challenge for neoantigen discovery has been the availability of accurate prediction models for MHC peptide presentation. We have shown previously that our proprietary model based on (i) large-scale, in-house mono-allelic data, (ii) custom features that model antigen processing, and (iii) advanced machine learning algorithms has strong performance. We have extended upon our work by systematically integrating large quantities of high-quality, publicly available data, implementing new modelling algorithms, and rigorously testing our models. These extensions lead to substantial improvements in performance and generalizability. Our algorithm, named Systematic HLA Epitope Ranking Pan Algorithm (SHERPA™), is integrated into the ImmunoID NeXT Platform®, our immuno-genomics and transcriptomics platform specifically designed to enable the development of immunotherapies.MethodsIn-house immunopeptidomic data was generated using stably transfected HLA-null K562 cells lines that express a single HLA allele of interest, followed by immunoprecipitation using W6/32 antibody and LC-MS/MS. Public immunopeptidomics data was downloaded from repositories such as MassIVE and processed uniformly using in-house pipelines to generate peptide lists filtered at 1% false discovery rate. Other metrics (features) were either extracted from source data or generated internally by re-processing samples utilizing the ImmunoID NeXT Platform.ResultsWe have generated large-scale and high-quality immunopeptidomics data by using approximately 60 mono-allelic cell lines that unambiguously assign peptides to their presenting alleles to create our primary models. Briefly, our primary ‘binding’ algorithm models MHC-peptide binding using peptide and binding pockets while our primary ‘presentation’ model uses additional features to model antigen processing and presentation. Both primary models have significantly higher precision across all recall values in multiple test data sets, including mono-allelic cell lines and multi-allelic tissue samples. To further improve the performance of our model, we expanded the diversity of our training set using high-quality, publicly available mono-allelic immunopeptidomics data. Furthermore, multi-allelic data was integrated by resolving peptide-to-allele mappings using our primary models. We then trained a new model using the expanded training data and a new composite machine learning architecture. The resulting secondary model further improves performance and generalizability across several tissue samples.ConclusionsImproving technologies for neoantigen discovery is critical for many therapeutic applications, including personalized neoantigen vaccines, and neoantigen-based biomarkers for immunotherapies. Our new and improved algorithm (SHERPA) has significantly higher performance compared to a state-of-the-art public algorithm and furthers this objective.

scholarly journals A Novel and Efficient High-Yield Method for Preparing Bacterial Ghosts

Toxins ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 420
Author(s):  
Yi Ma ◽  
Liu Cui ◽  
Meng Wang ◽  
Qiuli Sun ◽  
Kaisheng Liu ◽  
...  
Keyword(s):  
Large Scale ◽  
Expression System ◽  
High Yield ◽  
Wild Type ◽  
High Quality ◽  
Efficient Protection ◽  
Bacterial Ghosts ◽  
Cell Envelopes ◽  
Extracellular Structures ◽  
First Time

Bacterial ghosts (BGs) are empty cell envelopes possessing native extracellular structures without a cytoplasm and genetic materials. BGs are proposed to have significant prospects in biomedical research as vaccines or delivery carriers. The applications of BGs are often limited by inefficient bacterial lysis and a low yield. To solve these problems, we compared the lysis efficiency of the wild-type protein E (EW) from phage ΦX174 and the screened mutant protein E (EM) in the Escherichia coli BL21(DE3) strain. The results show that the lysis efficiency mediated by protein EM was improved. The implementation of the pLysS plasmid allowed nearly 100% lysis efficiency, with a high initial cell density as high as OD600 = 2.0, which was higher compared to the commonly used BG preparation method. The results of Western blot analysis and immunofluorescence indicate that the expression level of protein EM was significantly higher than that of the non-pLysS plasmid. High-quality BGs were observed by SEM and TEM. To verify the applicability of this method in other bacteria, the T7 RNA polymerase expression system was successfully constructed in Salmonella enterica (S. Enterica, SE). A pET vector containing EM and pLysS were introduced to obtain high-quality SE ghosts which could provide efficient protection for humans and animals. This paper describes a novel and commonly used method to produce high-quality BGs on a large scale for the first time.

Sign in / Sign up

Export Citation Format

Share Document