Agricultural development has significant potential improving nutrition and health. Since 2012, the CGIAR Research Program (CRP) on Agriculture for Nutrition and Health (A4NH) has provided an innovative perspective on the relationships between agriculture, nutrition, and health through research that strengthens the knowledge base and forms new partnerships that lead to outcomes. A4NH studies new frameworks and tools for understanding the multiple pathways through which agricultural development influences nutrition and health outcomes. It relies on the existing and dynamically emerging evidence of the impacts of agriculture on nutrition- and health-related outcomes. Such evidence-based decision making for agriculture-health programs improves decision making and investments. A4NH partners with the public and private sectors to make innovations available and used at scale. A4NH also integrates gender and equity into its portfolio. The A4NH Dataverse is an evolving space for datasets associated with projects within the A4NH portfolio from 2012 to present. http://a4nh.cgiar.org
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Adobe PDF - 741.9 KB - MD5: d568a107e3cb8d669c97408fba17f1f5
Data Collection InstrumentsDocumentation
Individual questionnaire in Spanish
Adobe PDF - 676.2 KB - MD5: 84a5933038a5816e1fb26dca8cf5325f
Data Collection InstrumentsDocumentation
Data collection instrument for the labor preferences game in English
Adobe PDF - 672.6 KB - MD5: 96f63024ad7c2226a39b1aa14ecf4fef
Data Collection InstrumentsDocumentation
Data collection instrument for the labor preferences game in Spanish
Adobe PDF - 451.9 KB - MD5: bd12b0179e6645c153537445003bbdc0
Data Collection InstrumentsDocumentation
Data collection instrument for the food choice experiment in English
Adobe PDF - 439.6 KB - MD5: b24ea1bb0910f8282174a9003c5fa991
Data Collection InstrumentsDocumentation
Data collection instrument for the food choice experiment in Spanish
Tabular Data - 76.8 KB - 26 Variables, 592 Observations - UNF:6:PGvib4PIqmSuQZSf5jq7vw==
DataSurvey
Tabular Data - 2.8 KB - 5 Variables, 26 Observations - UNF:6:0v5l9TFlVtnCPgwniDIR+w==
CodebookDocumentation
Description of variables in the anthropometry dataset
MS Excel Spreadsheet - 32.5 KB - MD5: 83389b4cd509291d9f0eecbfebf03830
CodebookDocumentation
Description of variables in the food choice dataset
Tabular Data - 1.7 MB - 17 Variables, 27603 Observations - UNF:6:AhV1b7zFdVV3AvprqlYuNQ==
DataSurvey
MS Excel Spreadsheet - 107.5 KB - MD5: dfb5093754170bf19dc2086c8b80202d
CodebookDocumentation
Description of variables in the household datasets
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