Several USDA food composition databases, including the Food and Nutrient Database for Dietary Studies (FNDDS), Standard Reference (SR) Legacy, and the USDA Branded Food Products Database, have transitioned to FoodData Central, a new and harmonized USDA food and nutrient data system. FoodData Central also includes expanded nutrient content information as well as links to diverse data sources that offer related agricultural, environmental, food, health, dietary supplement, and other information. The new system is designed to strengthen the capacity for rigorous research and policy applications through its search capabilities, downloadable datasets, and detailed documentation. Application developers can incorporate the information into their applications and web sites through the application programming interface (API) REST access. The constantly changing and expanding food supply is a challenge to those who are interested in using food and nutrient data. Including diverse types of data in one data system gives researchers, policymakers, and other audiences a key resource for addressing vital nutrition and health issues. FoodData Central: Includes five distinct types of data containing information on food and nutrient profiles, each with a unique purpose: Foundation Foods; Experimental Foods; Standard Reference; Food and Nutrient Database for Dietary Studies; USDA Global Branded Food Products Database. Provides a broad snapshot in time of the nutrients and other components found in a wide variety of foods and food products. Presents data that come from a variety of sources and are updated as new information becomes available. Includes values that are derived through a variety of analytic and computational approaches, using state-of-the-art methodologies and transparent presentation. FoodData Central is managed by the Agricultural Research Service and hosted by the National Agricultural Library. Resources in this dataset:Resource Title: Website Pointer for FoodData Central. File Name: Web Page, url: https://fdc.nal.usda.gov/index.html Includes Search, Download data, API Guide, Data Type Documentation, and Help pages.

[Note: Integrated as part of FoodData Central, April 2019.] USDA's Food and Nutrient Database for Dietary Studies (FNDDS) is a database that is used to convert food and beverages consumed in What We Eat In America (WWEIA), National Health and Nutrition Examination Survey (NHANES) into gram amounts and to determine their nutrient values. Because FNDDS is used to generate the nutrient intake data files for WWEIA, NHANES, it is not required to estimate nutrient intakes from the survey. FNDDS is made available for researchers using WWEIA, NHANES to review the nutrient profiles for specific foods and beverages as well as their associated portions and recipes. Such detailed information makes it possible for researchers to conduct enhanced analysis of dietary intakes. FNDDS can also be used in other dietary studies to code foods/beverages and amounts eaten and to calculate the amounts of nutrients/food components in those items. FNDDS is released every two-years in conjunction with the WWEIA, NHANES dietary data release. The FNDDS is available for free download from the FSRG website. Resources in this dataset:Resource Title: Website Pointer to Food and Nutrient Database for Dietary Studies. 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/fndds/ USDA's Food and Nutrient Database for Dietary Studies (FNDDS) is a database that is used to convert food and beverages consumed in What We Eat In America (WWEIA), National Health and Nutrition Examination Survey (NHANES) into gram amounts and to determine their nutrient values.

[Note: Integrated as part of FoodData Central, April 2019.] The USDA National Nutrient Database for Standard Reference (SR) is the major source of food composition data in the United States and provides the foundation for most food composition databases in the public and private sectors. This is the last release of the database in its current format. SR-Legacy will continue its preeminent role as a stand-alone food composition resource and will be available in the new modernized system currently under development. SR-Legacy contains data on 7,793 food items and up to 150 food components that were reported in SR28 (2015), with selected corrections and updates. This release supersedes all previous releases. Resources in this dataset:Resource Title: USDA National Nutrient Database for Standard Reference, Legacy Release. File Name: SR-Leg_DB.zipResource Description: Locally stored copy - The USDA National Nutrient Database for Standard Reference as a relational database using AcessResource Title: USDA National Nutrient Database for Standard Reference, Legacy Release. File Name: SR-Leg_ASC.zipResource Description: ASCII files containing the data of the USDA National Nutrient Database for Standard Reference, Legacy Release.Resource Title: USDA National Nutrient Database for Standard Reference, Legacy Release. File Name: SR-Leg_ASC.zipResource Description: Locally stored copy - ASCII files containing the data of the USDA National Nutrient Database for Standard Reference, Legacy Release.

The United States Department of Agriculture (USDA) Nutrient Data Laboratory (NDL), in collaboration with the National Cattlemen's Beef Association, National Pork Board, American Lamb Board, and meat scientists at selected universities, has conducted several research studies designed to update and expand nutrient data on retail meat cuts in the USDA National Nutrient Database for Standard Reference (SR). These studies have provided current and accurate estimates of data to update SR, and the study results have been incorporated into data sets that can be used for nutrient labeling. NDL has developed these data sets, presented in an easy-to-use table format. Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. The FSIS, an agency of the USDA, is the public health agency responsible for ensuring that the nation's commercial supply of meat, poultry and egg products is safe, wholesome, and correctly labeled and packaged. Resources in this dataset:Resource Title: The USDA Nutrient Data Set for Retail Beef Cuts, Release 3.0. File Name: Retail_Beef_Cuts03.pdfResource Description: Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. The online version of this document can be found at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Retail_Beef_Cuts03.pdfResource Title: The USDA Nutrient Data Set for Retail Beef Cuts, Release 3.0 (MS Excel download). File Name: Beef_Labelling_Table03.xlsxResource Description: The tables in "The USDA Nutrient Data Set for Retail Beef Cuts" imported into a Microsoft Excel spreadsheet. The online version of this spreadsheet can be found at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Beef_Labelling_Table03.xlsxResource Title: USDA Nutrient Data Set for Retail Pork Cuts, Release 2. File Name: Pork09.pdfResource Description: Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. Find the online version of this document at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Pork09.pdfResource Title: USDA Nutrient Data Set for Retail Pork Cuts, Release 2 (MS Excel download). File Name: Pork09_Tbl.xlsResource Description: The tables in "The Revised USDA Nutrient Data Set for Fresh Pork" imported into a Microsoft Excel spreadsheet. Find the online version of this spreadsheet at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Pork09_Tbl.xlsResource Title: Raw Ground Pork (MS Excel download). File Name: EstNutrRawGrndPork4_28.xlsResource Description: These tables provide nutrient profiles for raw ground pork from 4-28% fat, in increments of 1% fat, as determined by regression equations. Find the online version of this spreadsheet at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/EstNutrRawGrndPork4_28.xlsResource Title: USDA Nutrient Data Set for Retail Veal Cuts. File Name: Retail_Veal_Cuts.pdfResource Description: Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. Find the online version of this document at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Retail_Veal_Cuts.pdfResource Title: Veal Labeling Table (MS Excel download). File Name: Veal_Labeling_Table.xlsxResource Description: The tables in "The USDA Nutrient Data Set for Retail Veal Cuts" imported into a Microsoft Excel spreadsheet. Find the online version of this spreadsheet at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Veal_Labeling_Table.xlsxResource Title: USDA Nutrient Data Set for Retail Lamb Cuts. File Name: Lamb_Labeling_Doc.pdfResource Description: Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. Find the online version of this document at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Lamb_Labeling_Doc.pdfResource Title: Lamb Labeling Table (MS Excel download). File Name: Lamb_Labeling_Table.xlsxResource Description: The tables in "The USDA Nutrient Data Set for Retail Lamb Cuts" imported into a Microsoft Excel spreadsheet. Find the online version of this spreadsheet at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Lamb_Labeling_Table.xlsx

Context

Various foods and their nutrient contents are useful to plan the suitable diet.

Content

Data consists of 3 files. 1. Description of foods with id. 2. nutrient content of foods with food id and nutrient id. 3. nutrient names with id.

Acknowledgements

Data is downloaded from Food Data Central - https://fdc.nal.usda.gov/download-datasets.html

Inspiration

To know food recommendations based on nutrient requirements.

[Note: Integrated as part of FoodData Central, April 2019.] The USDA Branded Food Products Database is the result of a Public-Private Partnership, whose goal is to enhance public health and the sharing of open data by complementing USDA Food Composition Databases with nutrient composition of branded foods and private label data provided by the food industry. Members of the Public-Private Partnership include: Agricultural Research Service (ARS), USDA (www.ars.usda.gov) Institute for the Advancement of Food and Nutrition Sciences (IAFNS) (www.iafns.org) GS1 US (www.gs1us.org/) 1WorldSync (www.1worldsync.com) Label Insight (www.labelinsight.com) University of Maryland, Joint Institute for Food Safety and Applied Nutrition (jifsan.umd.edu) The BFPDB includes: product name and generic descriptor, serving size in grams or milliliters, nutrients on the Nutrition Facts Panel per serving size and 100 gram-basis, 100 ml-basis, or fluid oz-basis, ingredient list, (never before captured by USDA), and date stamp associated with most current product formulation. All data will be archived, allowing for dietary trends tracking. The BFPDB allows: dietitians to provide specific dietary guidance; researchers to better link dietary intakes to disease measures; and policy makers to develop guidance which promotes public health. New in this August 2018 release are downloadable database files (ASCII .csv and MS Access), Application Programming Interface (API), and Documentation and Download User Guide.

Context

Combined nutrition data for all foods listed by USDA.

Content

Nutrition values for branded and foundational foods. All units are in g per 100g, except for energy which is in kJ.

[Note: Integrated as part of FoodData Central, April 2019.] The database consists of several sets of data: food descriptions, nutrients, weights and measures, footnotes, and sources of data. The Nutrient Data file contains mean nutrient values per 100 g of the edible portion of food, along with fields to further describe the mean value. Information is provided on household measures for food items. Weights are given for edible material without refuse. Footnotes are provided for a few items where information about food description, weights and measures, or nutrient values could not be accommodated in existing fields. Data have been compiled from published and unpublished sources. Published data sources include the scientific literature. Unpublished data include those obtained from the food industry, other government agencies, and research conducted under contracts initiated by USDA’s Agricultural Research Service (ARS). Updated data have been published electronically on the USDA Nutrient Data Laboratory (NDL) web site since 1992. Standard Reference (SR) 28 includes composition data for all the food groups and nutrients published in the 21 volumes of "Agriculture Handbook 8" (US Department of Agriculture 1976-92), and its four supplements (US Department of Agriculture 1990-93), which superseded the 1963 edition (Watt and Merrill, 1963). SR28 supersedes all previous releases, including the printed versions, in the event of any differences. Attribution for photos: Photo 1: k7246-9 Copyright free, public domain photo by Scott Bauer Photo 2: k8234-2 Copyright free, public domain photo by Scott Bauer Resources in this dataset:Resource Title: READ ME - Documentation and User Guide - Composition of Foods Raw, Processed, Prepared - USDA National Nutrient Database for Standard Reference, Release 28. File Name: sr28_doc.pdfResource Software Recommended: Adobe Acrobat Reader,url: http://www.adobe.com/prodindex/acrobat/readstep.html Resource Title: ASCII (6.0Mb; ISO/IEC 8859-1). File Name: sr28asc.zipResource Description: Delimited file suitable for importing into many programs. The tables are organized in a relational format, and can be used with a relational database management system (RDBMS), which will allow you to form your own queries and generate custom reports.Resource Title: ACCESS (25.2Mb). File Name: sr28db.zipResource Description: This file contains the SR28 data imported into a Microsoft Access (2007 or later) database. It includes relationships between files and a few sample queries and reports.Resource Title: ASCII (Abbreviated; 1.1Mb; ISO/IEC 8859-1). File Name: sr28abbr.zipResource Description: Delimited file suitable for importing into many programs. This file contains data for all food items in SR28, but not all nutrient values--starch, fluoride, betaine, vitamin D2 and D3, added vitamin E, added vitamin B12, alcohol, caffeine, theobromine, phytosterols, individual amino acids, individual fatty acids, or individual sugars are not included. These data are presented per 100 grams, edible portion. Up to two household measures are also provided, allowing the user to calculate the values per household measure, if desired.Resource Title: Excel (Abbreviated; 2.9Mb). File Name: sr28abxl.zipResource Description: For use with Microsoft Excel (2007 or later), but can also be used by many other spreadsheet programs. This file contains data for all food items in SR28, but not all nutrient values--starch, fluoride, betaine, vitamin D2 and D3, added vitamin E, added vitamin B12, alcohol, caffeine, theobromine, phytosterols, individual amino acids, individual fatty acids, or individual sugars are not included. These data are presented per 100 grams, edible portion. Up to two household measures are also provided, allowing the user to calculate the values per household measure, if desired.Resource Software Recommended: Microsoft Excel,url: https://www.microsoft.com/ Resource Title: ASCII (Update Files; 1.1Mb; ISO/IEC 8859-1). File Name: sr28upd.zipResource Description: Update Files - Contains updates for those users who have loaded Release 27 into their own programs and wish to do their own updates. These files contain the updates between SR27 and SR28. Delimited file suitable for import into many programs.

The USDA Branded Food Database was integrated as part of FoodData Central on April 2019. For more information on FoodData Central and the USDA Branded Food Database:

Website: https://fdc.nal.usda.gov/ Ag Data Commons link: https://data.nal.usda.gov/dataset/fooddata-central

The China Health and Nutrition Survey (CHNS) was designed to examine the effects of the health, nutrition, and family planning policies and programs implemented by national and local governments and to see how the social and economic transformation of Chinese society is affecting the health and nutritional status of its population. The impact on nutrition and health behaviors and outcomes is gauged by changes in community organizations and programs as well as by changes in sets of household and individual economic, demographic, and social factors. CHNS covers nine provinces that vary substantially in geography, economic development, public resources, and health indicators. Three days' worth of detailed household food consumption information is collected. In addition, individual dietary intake for three consecutive days is collected for every household member, irrespective of age or relationship to the household head. Adults and children receive detailed physical examinations that included weight, height, arm and head circumference, mid-arm skinfold measurements, and blood pressure (for children age 7 and older and all adults). Limited clinical nutrition and physical functioning data have been collected since 1993. Activities of daily living and related information for older adults and a new set of physical activity and inactivity data have been added for all respondents since 1997

The Agricultural Research Service of the US Department of Agriculture (USDA) in collaboration with other government agencies has a program to track changes in the sodium content of commercially processed and restaurant foods. This monitoring program includes these activities: Tracking sodium levels of ~125 popular foods, called "Sentinel Foods," by periodically sampling them at stores and restaurants around the country, followed by laboratory analyses. Tracking levels of "related" nutrients that could change when manufacturers reformulate their foods to reduce sodium; these related nutrients are potassium, total and saturated fat, total dietary fiber, and total sugar. Sharing the results of these monitoring activities to the public periodically in the Sodium Monitoring Dataset and USDA National Nutrient Database for Standard Reference and once every two years in the Food and Nutrient Database for Dietary Studies. The Sodium Monitoring Dataset is downloadable in Excel spreadsheet format. Resources in this dataset:Resource Title: Data Dictionary. File Name: SodiumMonitoringDataset_datadictionary.csvResource Description: Defines variables, descriptions, data types, character length, etc. for each of the spreadsheets in this Excel data file: Sentinel Foods - Baseline; Priority-2 Foods - Baseline; Sentinel Foods - Monitoring; Priority-2 Foods - Monitoring.Resource Title: Sodium Monitoring Dataset (MS Excel download). File Name: SodiumMonitoringDatasetUpdatedJuly2616.xlsxResource Description: Microsoft Excel : Sentinel Foods - Baseline; Priority-2 Foods - Baseline; Sentinel Foods - Monitoring; Priority Foods - Monitoring.

Food Prices for Nutrition provides indicators on the cost and affordability of a healthy diet (CoAHD) in each country, showing the population’s physical and economic access to sufficient quantities of locally available items for an active and healthy life. It also hosts indicators on the cost and affordability of an energy-sufficient diet and of a nutrient-adequate diet. These indicators are explained in detail in the Food Prices for Nutrition DataHub at: https://www.worldbank.org/foodpricesfornutrition.

The most recently updated database version, Food Prices for Nutrition 4.0, estimated in July 2025, relies on the 2021 global retail food price data from the International Comparison Program (ICP) and the latest 2021 PPP conversion factors to assess the diet cost indicators. For the non-ICP benchmark years, it estimates the diet costs based on the latest food and general CPI data from FAOSTAT. It also reflects the most updated income distribution data for India and other countries from the World Bank’s Poverty and Inequality Platform (PIP). For the first time, the cost and affordability of a healthy diet and related indicators are estimated up to one year preceding the report year, and diet cost indicators are reported in both PPP dollars and local currency units. Version 4.0 also updates the method of converting current year to constant year PPPs based on national CPIs instead of US inflation rates. Estimates for the prevalence and number of people unable to afford a healthy diet were imputed for countries with missing information based on their regional and global aggregates. Countries' income classifications at the aggregate reporting level follow the calendar year of 2023 standard (the fiscal year of 2025 of the World Bank). The Cost and Affordability of a Healthy Diet indicators reported in the United Nations' State of Food Security and Nutrition in the World 2025 correspond to those in version 4.0.

Context

Indonesia is a country that has abundant food wealth. Of course, foods and drinks from Indonesia have nutritional value that is beneficial for the body. This dataset may be able to provide insight into measuring the amount of nutrients that enter the body when consuming Indonesian food and drinks.

Source

This dataset was obtained from the Tabel Komposisi Pangan Indonesia (Indonesian Food Composition Table) data published by the Ministry of Health of the Republic of Indonesia (www.panganku.org). This dataset has gone through a modification process in the form of data cleaning and adding image links.

Content

This dataset contains 1346 rows of Indonesian food and drinks. Each row consists of 7 columns including: - id: index data - calories: the number of calories (in cal) per 100 grams of food/drink - proteins: the amount of protein (in grams) per 100 grams of food/drink - fat: the amount of fat (in grams) per 100 grams of food/drink - carbohydrate: the amount of carbohydrates (in grams) per 100 grams of food/drink - name: name of food/drink - image: link to food/drink images

We present CGMacros, a dataset containing multimodal information from two continuous glucose monitors (CGM), food macronutrients, food photographs, and physical activity, in addition to anonymized participant demographics, anthropometric measurements and health parameters from blood analyses and gut microbiome profiles. CGMacros contains data from 45 study participants (15 healthy adults, 16 with pre-diabetes, and 14 with Type 2 diabetes) who consumed meals with varying and known macronutrient compositions in a free-living setting for ten consecutive days. To our knowledge, this is the first database of its kind to be made publicly available. CGMacros, and larger publicly available datasets that we hope may follow, are essential to democratize academic research in personalized nutrition and algorithmic approaches to automated diet monitoring.

Release 6, of this data set, replaces the previous release, Release 5, issued in 2003. The data set contains the factors for calculating retention of 26 vitamins, minerals and alcohol during food preparation. Factors for the other 25 food components in Release 4 are unchanged. Factors for total choline have been added to this release. Resources in this dataset:Resource Title: USDA Table of Nutrient Retention Factors, Release 6 (2007). File Name: retn06.pdfResource Description: Release 6, of this data set, replaces the previous release, Release 5, issued in 2003. The data set contains the factors for calculating retention of 26 vitamins, minerals and alcohol during food preparation. Factors for the other 25 food components in Release 4 are unchanged. Factors for total choline have been added to this release. Resource Title: USDA Table of Nutrient Retention Factors, Release 6 (2007). File Name: NutrientRetention.csvResource Description: Release 6, of this data set, replaces the previous release, Release 5, issued in 2003. The data set contains the factors for calculating retention of 26 vitamins, minerals and alcohol during food preparation. Factors for the other 25 food components in Release 4 are unchanged. Factors for total choline have been added to this release. This data was downloaded from the published web site text version and converted to CSV format on November 16, 2017.Resource Title: USDA Table of Nutrient Retention Factors, Release 6 (2007) Data Dictionary. File Name: NutrientRetentionDD.csv

Open Food Facts Database

  What is 🍊 Open Food Facts?





  A food products database

Open Food Facts is a database of food products with ingredients, allergens, nutrition facts and all the tidbits of information we can find on product labels.

  Made by everyone

Open Food Facts is a non-profit association of volunteers. 25.000+ contributors like you have added 1.7 million + products from 150 countries using our Android or iPhone app or their camera to scan… See the full description on the dataset page: https://huggingface.co/datasets/openfoodfacts/product-database.

Nutrition Food

## Overview

Nutrition Food is a dataset for classification tasks - it contains Food annotations for 9,793 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Abstract

National Nutrition Survey menuCH

Nutrition and physical activity directly affect health and quality of life. But what do people living in Switzerland usually eat and drink? The National Nutrition Survey menuCH pursued these questions and collected data concerning nutrition and physical activity behaviors of the Swiss population.

menuCH inquired men and women aged between 18 and 75 years living in the German, French or Italian parts of Switzerland, about what they ate the previous day (i.e., 24-hour dietary recall) and their eating and drinking habits but also about their physical activity. Anthropometric measurements were taken in addition. Survey participation was voluntary.

menuCH inquired 2000 participants in 10 study centers. The study centers were located all over Switzerland so that most participants could reach them within reasonable time. The survey took place between January 2014 and February 2015.

Aims

„What and how much do people living in Switzerland usually eat and drink, when and where?” With this and other questions regarding eating and drinking habits, it should possible to...

• evaluate better the nutrition situation;

• keep high and improve food safety;

• detect faster possible risks associated with food;

• verify and adapt if necessary the present dietary recommendations;

• improve the food range and composition;

• develop and implement effective nutrition strategies and measures to promote health and quality of life;

• support research and development in the fields of nutrition, food and behavior sciences with up-to-date and nationally representative data.

For more information see : https://www.blv.admin.ch/blv/de/home/lebensmittel-und-ernaehrung/ernaehrung/menuCH.html (German) https://www.blv.admin.ch/blv/fr/home/lebensmittel-und-ernaehrung/ernaehrung/menuCH.html (French) https://www.blv.admin.ch/blv/it/home/lebensmittel-und-ernaehrung/ernaehrung/menuCH.html (Italian)

The list of publications on menuCH data can be found under the following link : https://www.blv.admin.ch/blv/de/home/lebensmittel-und-ernaehrung/ernaehrung/menuCH/menuch-publikationen-daten-forschung.html

Geographic coverage

Switzerland (46° 57' N, 7° 25' E)

Analysis unit

Individuals

Universe

Food consumption of Swiss residents, male and female from three language regions, between 18 and 75 years of age

Sampling procedure

Sampling was carried out by the Federal Statistical Office (FSO) using the sampling frame for individual and household surveys (SRPH, Stichprobenrahmen für Personen und Haushaltserhebungen, https://www.studydata.blv.admin.ch//catalog/4/download/87) database. The three-step sampling procedure for the survey was as follows:

1. The first stratum consisted of the seven Swiss major regions (Lake Geneva region, Midland, Northwest Switzerland, Zurich, Eastern Switzerland, Central Switzerland and Ticino*). To facilitate logistics, only the most populous cantons of each major region were considered. The number of cantons was chosen so that they represent at least half of the population of the corresponding major region (Table 1). The sampling frame of the main study consisted of participants living in the cantons of Vaud (VD), Geneva (GE), Neuchâtel (NE), Jura (JU), Berne (BE), Basel-Land (BL), Basel-Stadt (BS), Zürich (ZH), St. Gallen (SG), Aargau (AG), Luzern (LU) and Ticino (TI).
2. Source : Swiss Federal Statistical Office, Available : https://www.studydata.blv.admin.ch//catalog/4/download/90

Table 1. Major regions of Switzerland and cantons selected for menuCH https://www.studydata.blv.admin.ch//catalog/4/download/80

1. Within the first stratum, a second stratification was conducted, taking into account gender- and age groups. For each major region, the final sample aimed to achieve a comparable number of men and women, with an age group distribution comparable to the one observed within the administrative regions.
2. The 24-hour dietary recall interviews were as evenly distributed as possible throughout the week in order to capture all days of the week. The number of interviews conducted on Mondays was twice as large as for the other days, in order to cover the food consumption on Saturdays and Sundays. For participants interviewed on Mondays, the day of the interview (Saturday or Sunday) was randomly chosen.

Overall, the target was to recruit a total of 2'000 participants with two appointments/interviews each, following quotas by canton of residence (Table 2; Table 3).

Table 2. Survey sampling frame overall and by linguistic region https://www.studydata.blv.admin.ch//catalog/4/download/81

Table 3. Target number of participants by administrative region and canton of residence https://www.studydata.blv.admin.ch//catalog/4/download/82

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Non-participant questionnaire (available here https://www.studydata.blv.admin.ch//catalog/4/download/26) A short non-participant questionnaire was applied orally by the recruiters during the contact call when it became clear that the contacted person was unwilling to participate.

Nutrition behavior and physical activity questionnaire (available in English under the documentation section of this website or in German: https://www.studydata.blv.admin.ch//catalog/4/download/14 ; French: https://www.studydata.blv.admin.ch//catalog/4/download/15 and Italian: https://www.studydata.blv.admin.ch//catalog/4/download/16)

Eating and physical activity behavior were assessed by a 49 question paper/written questionnaire available in three languages. The questionnaire has been developed by FOPH/FSVO and was pre-tested using cognitive interviews. For physical activity, the short version of the IPAQ - International Physical Activity Questionnaire - was considered. For health related questions, reference was made to questions of the Swiss Health Surveys and for diet related questions also standard questions from other nationally or internationally used questionnaires had been included. Thus, comparisons with other studies are possible. The questionnaire was amended by a selection of socio-economic and -demographic questions from the most current Swiss Health Survey 2012, with very few changes applied due to experiences from regional surveys (CoLaus and Bus santé studies). The questionnaire was sent to the participants by postal delivery together with the confirmation of the first appointment and the instruction to complete it at home and bring it to the appointment. Upon handover, the questionnaire was checked by the dietitian for completeness and clarity. At the end of the appointment the dietitian keyed the information into a central on-line database.

Cleaning operations

Data editing took place at a number of stages throughout the processing, including: a) During data entry b) Structure checking and completeness c) Secondary editing d) Structural checking of SQL and STATA data files

Sampling error estimates

See the document "Weighting strategy” available under "Technical documents” and the document "Codebooks” available under “Other materials” in the “Documentation" section. Remarks: 1. The variables “sampling_w”, “nonresponse_w” and “nonresponse_w_2rec” are given for information only. These variables should not be used for extrapolation as they correspond to intermediate steps in the calculation of the calibrated weights. 2. For extrapolation always use calibrated weights. As season and weekday influence nutrition, it is preferable to use "sw_calibrated_w" weights rather than "calibrated_w" weights. 3. The statistical program SPADE requires two 24HDR per person for usual intake analyses. For this reason the variables “calibrated_w_2rec” and “sw_calibrated_w_2rec” are provided (see chapter “Weighting for SPADE” in the document “Weighting strategy”).

Users can download reports, data tables and data sets to gain information regarding Americans' nutrition and health statuses. BackgroundThe National Health and Nutrition Examination Survey (NHANES) is part of the National Center for Health Statistics at the Centers for Disease Control and Prevention (CDC). It is an annual survey that reports on Americans' nutrition and health statuses and uses that information to determine prevalence estimates and understand health trends. NHANES developed growth charts that are used to track the physical development of infants and children, and it has contributed to im provements in food and health care in the United States. Information includes: diet, weight according to sex, age, race, ethnicity and age; disease history; serum cholesterol levels; depression; breastfeeding; intake of calories and nutrients, and much more. User Functionality The website offers extensive tutorials to help users navigate and download the NHANES datasets. Datasets can be downloaded as SAS transport files, which can be downloaded into SAS, SPSS, and SUDAN. The datasets can also be converted to be read as Excel files. From the website, static data reports and tables are also available for download, and investigators can apply to get access to the non-publicly released data sets. Data Notes The survey co nsists of an interview and a health examination by a trained physician. Participants are considered to be a nationally representative sample. Data is available from the first NHANES in 1971 to the present. The survey is continuous, and data is released as it becomes available, with the most recent data from 2008.