3 datasets found
  1. u

    Data from: Food Patterns Equivalents Database (FPED)

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    • +1more
    bin
    Updated Feb 9, 2024
    + more versions
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    Food Surveys Research Group (2024). Food Patterns Equivalents Database (FPED) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Food_Patterns_Equivalents_Database_FPED_/24660936
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    binAvailable download formats
    Dataset updated
    Feb 9, 2024
    Dataset provided by
    Food Surveys Research Group Beltsville Human Nutrition Research Center
    Authors
    Food Surveys Research Group
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    USDA’s Food Patterns Equivalents Database (FPED) converts the foods and beverages in the Food and Nutrient Database for Dietary Studies to the 37 USDA Food Patterns components. The FPED was formerly known as the MyPyramid Equivalents Database. The FPED serves as a unique research tool to evaluate food and beverage intakes of Americans with respect to the 2015-2020 Dietary Guidelines for Americans recommendations. The Food Patterns are measured as cup equivalents of Fruit, Vegetables, and Dairy; ounce equivalents of Grains and Protein Foods; teaspoon equivalents of Added Sugars; gram equivalents of Solid Fats and Oils; and the number of Alcoholic Drinks. In addition to the SAS datasets, the FPED release includes: (1) the Food Patterns Equivalents Ingredient Database (FPID) that includes the 37 USDA Food Patterns components per 100 grams of each unique ingredient used in the FNDDS; and (2) listings of gram weights for one cup equivalents of fruits, vegetables, dairy, and legumes used in the FPED. Resources in this dataset:Resource Title: Food Patterns Equivalents Database. File Name: Web Page, url: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/fped-overview/ Food Patterns Equivalents Database (FPED) converts the foods and beverages in the Food and Nutrient Database for Dietary Studies to the 37 USDA Food Patterns components. The FPED serves as a unique research tool to evaluate food and beverage intakes of Americans with respect to the 2015-2020 Dietary Guidelines for Americans recommendations.

  2. SuperTracker - source code and foods database

    • healthdata.gov
    • datahub.hhs.gov
    • +2more
    application/rdfxml +5
    Updated Feb 25, 2021
    + more versions
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    usda.gov (2021). SuperTracker - source code and foods database [Dataset]. https://healthdata.gov/w/dq69-zshb/default?cur=-PUvn1TfsL2
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    csv, tsv, application/rssxml, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Feb 25, 2021
    Dataset provided by
    usda.gov
    Description

    SuperTracker was an online tool offered by USDA (2011-2018) that helped users track diet, physical activity and weight. SuperTracker provided a personalized plan based on the 2015-2020 Dietary Guidelines for Americans for what you should eat and drink and guided users to making better choices. This dataset includes the SuperTracker source code (latest update April 2018), including: front end application, database schema, documentation, deployment scripts and a ReadMe.txt file that provides high level instructions for the source code. Database connection strings and actual data are not included. The full foods database spreadsheet is attached as well; these foods are based on the Food and Nutrient Database for Dietary Studies (FNDDS), and the Food Patterns Equivalents Database (FPED), both from the USDA/ARS Food Surveys Research Group.

    It is important to note that the code is based on 2015-2020 Dietary Guidelines for Americans and will not be updated to reflect future guidance. In addition, the food database is based on FNDDS from 2011-2012 (FNDDS 6.0) and FPED from 2011-2012 and will not be updated with future data releases.

  3. f

    Table_1_Associations of adherence to the DASH diet and the Mediterranean...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 3, 2023
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    Jingli Wen; Shujun Gu; Xinyu Wang; Xu Qi (2023). Table_1_Associations of adherence to the DASH diet and the Mediterranean diet with chronic obstructive pulmonary disease among US adults.docx [Dataset]. http://doi.org/10.3389/fnut.2023.1031071.s001
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    docxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Frontiers
    Authors
    Jingli Wen; Shujun Gu; Xinyu Wang; Xu Qi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundThe Dietary Approaches to Stop Hypertension (DASH) and the Mediterranean diet are associated with reduced cardiovascular, tumor, and diabetes risk, but the effect on chronic obstructive pulmonary disease (COPD) is uncertain.ObjectiveTo investigate the association of the DASH diet and the Mediterranean diet with the risk of COPD in American adults.MethodsThis cross-sectional study included 28,605 participants from the National Health and Nutrition Examination Survey (NHANES) 1999–2018 survey cycle who had complete dietary and other questionnaire data. The scores of healthy eating patterns (the DASH diet and the Mediterranean diet) were derived from a 24-h dietary recall interview [individual food and total nutrient data from NHANES and food pattern equivalents data from the United States Department of Agriculture (USDA)]. The primary outcome was the prevalence of COPD. COPD was defined based on participants self-reported whether or not a doctor or health professional had diagnosed chronic bronchitis or emphysema. Secondary outcomes were lung function and respiratory symptoms. All analyses were adjusted for demographics and standard COPD risk factors (primary tobacco exposure, secondhand smoke exposure, and asthma).ResultsThis study included 2,488 COPD participants and 25,607 non-COPD participants. We found that a higher DASH diet score was associated with a lower risk of COPD [odds ratio (OR): 0.83; 95% confidence interval (CI): 0.71–0.97; P = 0.021]. This association persisted in several subgroups [men (OR: 0.73; 95% CI: 0.58–0.93; P = 0.010), relatively young (OR: 0.74; 95% CI: 0.55–1.01; P = 0.050), and smoker (OR: 0.82; 95% CI: 0.67–0.99; P = 0.038)]. In contrast, the Mediterranean diet score was not significantly associated with COPD prevalence in this large cross-sectional analysis representative of the US adult population (OR: 1.03; 95% CI: 0.88–1.20; P = 0.697). In addition, we found a correlation between DASH diet adherence and lung function [β: −0.01; 95% CI: −0.01–0.00; P = 0.003 (FEV1: FVC)] or respiratory symptoms [OR: 0.80; 95% CI: 0.73–0.89; P < 0.001 (dyspnea); OR: 0.80; 95% CI: 0.70–0.91; P = 0.002 (cough); OR: 0.86; 95% CI: 0.74–0.99; P = 0.042 (expectoration)], especially in non-COPD populations.ConclusionA higher DASH diet score was associated with improved COPD prevalence, lung function and respiratory symptoms. This new finding supports the importance of diet in the pathogenesis of COPD and expands the scope of the association of the DASH diet score with major chronic diseases.

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Food Surveys Research Group (2024). Food Patterns Equivalents Database (FPED) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Food_Patterns_Equivalents_Database_FPED_/24660936

Data from: Food Patterns Equivalents Database (FPED)

Related Article
Explore at:
binAvailable download formats
Dataset updated
Feb 9, 2024
Dataset provided by
Food Surveys Research Group Beltsville Human Nutrition Research Center
Authors
Food Surveys Research Group
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Description

USDA’s Food Patterns Equivalents Database (FPED) converts the foods and beverages in the Food and Nutrient Database for Dietary Studies to the 37 USDA Food Patterns components. The FPED was formerly known as the MyPyramid Equivalents Database. The FPED serves as a unique research tool to evaluate food and beverage intakes of Americans with respect to the 2015-2020 Dietary Guidelines for Americans recommendations. The Food Patterns are measured as cup equivalents of Fruit, Vegetables, and Dairy; ounce equivalents of Grains and Protein Foods; teaspoon equivalents of Added Sugars; gram equivalents of Solid Fats and Oils; and the number of Alcoholic Drinks. In addition to the SAS datasets, the FPED release includes: (1) the Food Patterns Equivalents Ingredient Database (FPID) that includes the 37 USDA Food Patterns components per 100 grams of each unique ingredient used in the FNDDS; and (2) listings of gram weights for one cup equivalents of fruits, vegetables, dairy, and legumes used in the FPED. Resources in this dataset:Resource Title: Food Patterns Equivalents Database. File Name: Web Page, url: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/fped-overview/ Food Patterns Equivalents Database (FPED) converts the foods and beverages in the Food and Nutrient Database for Dietary Studies to the 37 USDA Food Patterns components. The FPED serves as a unique research tool to evaluate food and beverage intakes of Americans with respect to the 2015-2020 Dietary Guidelines for Americans recommendations.

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