{"dcterms:modified":"2025-04-02","dcterms:creator":"Harvard Dataverse","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.1","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.6 build 1829-192cdc4","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://dataverse.harvard.edu/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.7910/DVN/I53FX2","ore:describes":{"citation:dateOfCollection":{"citation:dateOfCollectionStart":"2019-04","citation:dateOfCollectionEnd":"2019-04"},"citation:keyword":[{"citation:keywordValue":"Acids","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_92"},{"citation:keywordValue":"Consumer behaviour","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_1821"},{"citation:keywordValue":"Food Consumption","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_3016"},{"citation:keywordValue":"Food safety","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_33995"},{"citation:keywordValue":"Food supply","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_3029"},{"citation:keywordValue":"Fruit","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_3119"},{"citation:keywordValue":"Vegetables","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_8174"},{"citation:keywordValue":"Urbanization","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_8088"},{"citation:keywordValue":"Asia","citation:keywordVocabulary":"Research Region"},{"citation:keywordValue":"Biodiversity for Food and Agriculture","citation:keywordVocabulary":"Research Lever"},{"citation:keywordValue":"CGIAR Research Program on Agriculture for Nutrition and Health","citation:keywordVocabulary":"CGIAR Research Program"},{"citation:keywordValue":"Europe","citation:keywordVocabulary":"Research Regions"}],"author":[{"citation:authorName":"Truong, Mai","citation:authorAffiliation":"National Institute of Nutrition, Vietnam"},{"citation:authorName":"Meldrum, Gennifer","citation:authorAffiliation":"Bioversity International","authorIdentifierScheme":"ORCID","authorIdentifier":"https://orcid.org/0000-0003-2280-3333"},{"citation:authorName":"Kennedy, Gina","citation:authorAffiliation":"Bioversity International","authorIdentifierScheme":"ORCID","authorIdentifier":"https://orcid.org/ 0000-0002-5232-2250"},{"citation:authorName":"Tran, Thanh Do","citation:authorAffiliation":"National Institute of Nutrition, Vietnam"},{"citation:authorName":"Phuong, Ngothiha","citation:authorAffiliation":"National Institute of Nutrition, Vietnam"},{"citation:authorName":"Nguyen, Huu Bac","citation:authorAffiliation":"National Institute of Nutrition, Vietnam"}],"citation:producer":{"citation:producerName":"Bioversity International"},"citation:dsDescription":{"citation:dsDescriptionValue":"Barrier analysis is completed with at least 45 doers of the behavior of interest and 45 non-doers who do not practice the behaviour. In this case, the behaviour of interest was the consumption of an adequate quantity and diversity of fruits and vegetables by low income adults in the focal neighbourhoods. Doers and non-doers were selected from the list of 300 lower-income households in the focal neighborhoods using screening questions. Respondents were asked to recount the fruits and vegetables they consumed in the past 24 hours and whether the amount they consumed was typical for them or not. Trained enumerators from NIN converted the reported serving sizes into an approximate number of grams using standardized conversion factors. Based on the answers to the screening questions, the respondents were classified as ‘doers’, ‘non-doers’ or ‘do not interview’. Doers met fruit target (200 g fruit) and vegetable target (200g vegetable from at least two MDDW groups) and normally consumed the same amount of fruits and vegetables or more. Nondoers did not meet the fruit target, did not meet the vegetable target and normally consume the same amount or less. We used a quota sampling approach in which households were contacted in randomized order. The gender to be interviewed for each household was randomly assigned so that we did not include men and women from the same household in the sample. The respondents were contacted by telephone by representatives of the district health centres and the screening questions were completed over the phone if the respondent was comfortable. In other cases, based on the preference of the respondents, the enumerators made an appointment to visit their household to complete the screening questions in person. Those who were classified as doers and non-doers were invited to complete the barrier analysis survey in person at the local health centre and an appointment was arranged with several options for times ranging from the early morning to early evening.  The estimated self-reported portion size of doers was 348 g of fruit and 297 g of vegetables from two groups in the past 24 hours. By contrast, the estimated self-reported portion size of non-doers was 101 g of fruit and 128 g of vegetables in the past 24 hours."},"grantNumber":{"citation:grantNumberAgency":"Wageningen University FVN Project"},"citation:topicClassification":{"citation:topicClassValue":"Food Consumption","citation:topicClassVocab":"AGROVOC","citation:topicClassVocabURI":"http://aims.fao.org/aos/agrovoc/c_3016"},"citation:datasetContact":[{"citation:datasetContactName":"Alliance Data Management","citation:datasetContactAffiliation":"The Alliance of Bioversity International and CIAT","citation:datasetContactEmail":"alliance-dm@cgiar.org"},{"citation:datasetContactName":"Gennifer Meldrum","citation:datasetContactEmail":"gennifermeldrum@outlook.com"}],"geospatial:geographicCoverage":{"geospatial:country":"Viet Nam","geospatial:city":"Hanoi"},"title":"Barrier analysis for daily fruit and vegetable consumption among low income consumers in Hanoi, Vietnam.","kindOfData":["Socio-economic Data","Qualitative Data"],"subject":["Social Sciences","Agricultural Sciences"],"citation:productionDate":"2019-04","dateOfDeposit":"2020-08-25","citation:depositor":"MG","language":"English","@id":"https://doi.org/10.7910/DVN/I53FX2","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.2","schema:name":"Barrier analysis for daily fruit and vegetable consumption among low income consumers in Hanoi, Vietnam.","schema:dateModified":"Thu Mar 09 15:33:26 UTC 2023","schema:datePublished":"2020-08-25","schema:creativeWorkStatus":"RELEASED","dvcore:termsOfUse":"<P><a rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\" target=\"_blank\"><img alt=\"Creative Commons License\" style=\"border-width:0\" src=\"https://i.creativecommons.org/l/by/4.0/88x31.png\" /></a><br />\r\nThese data and documents are licensed under a <a href=\"http://creativecommons.org/licenses/by/4.0/\" target=\"_blank\"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href=\"http://best-practices.dataverse.org/data-citation/\" target=\"_blank\">data citation</a>.</P>","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"Harvard Dataverse","schema:isPartOf":{"schema:name":"The Alliance of Bioversity International and CIAT Dataverse","@id":"https://dataverse.harvard.edu/dataverse/AllianceBioversityCIAT","schema:description":"<strong><a href=\"https://www.bioversityinternational.org/alliance/\" style=\"color:#428BCA;\">The Alliance of Bioversity International and CIAT</a></strong>\n<P>\nToday’s global challenges of poverty, malnutrition, climate change, land degradation, and biodiversity loss call for new research, solutions, innovations, and stronger partnerships that can deliver higher impact. To respond to these challenges, and building on their complementary mandates and long collaboration, Bioversity International and the International Center for Tropical Agriculture (CIAT) have joined forces to create an Alliance.\n</P>\n\n<P>The Alliance <a href=\"https://cgspace.cgiar.org/handle/10568/106098\" target=\"_blank\" rel=\"noopener\"> delivers research-based solutions </a>that harness agricultural biodiversity and sustainably transform food systems to improve people’s lives.\n</P>\n<P>\nTo do so, the Alliance works with local, national and multinational partners across Latin America and the Caribbean, Asia and Africa, and with the public and private sectors. With partners, the Alliance generates evidence and mainstreams innovations in large-scale programmes to create food systems and landscapes that sustain the planet, drive prosperity and nourish people.\n</P>","schema:isPartOf":{"schema:name":"Harvard Dataverse","@id":"https://dataverse.harvard.edu/dataverse/harvard","schema:description":"<span><span><span><h3>Share, archive, and get credit for your data. 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