{"dcterms:modified":"2025-04-01","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/FL9DDZ","ore:describes":{"geospatial:geographicCoverage":{"geospatial:country":"Zambia","geospatial:state":"Lusaka"},"contributor":{"citation:contributorType":"Project Member","citation:contributorName":"University of Zambia"},"citation:keyword":[{"citation:keywordValue":"Fish Consumption","citation:keywordVocabulary":"GACS","citation:keywordVocabularyURI":"http://id.agrisemantics.org/gacs/C30047"},{"citation:keywordValue":"Dietary Diversity"},{"citation:keywordValue":"Anthropometry","citation:keywordVocabulary":"AGROVOC","citation:keywordVocabularyURI":"http://aims.fao.org/aos/agrovoc/c_36003"},{"citation:keywordValue":"Urban Poor"}],"citation:producer":[{"citation:producerName":"WorldFIsh","citation:producerURL":"https://www.worldfishcenter.org/","citation:producerLogoURL":"https://www.worldfishcenter.org/sites/default/files/logo.svg"},{"citation:producerName":"University of Zambia","citation:producerURL":"https://www.unza.zm/","citation:producerLogoURL":"https://www.unza.zm/themes/unza/logo.svg"}],"publication":[{"publicationCitation":"Sven Genschick, Pamela Marinda, Gelson Tembo, Alexander M. Kaminski, Shakuntala H. Thilsted, Fish consumption in urban Lusaka: The need for aquaculture to improve targeting of the poor, Aquaculture, Volume 492, 2018, Pages 280-289","publicationIDType":"handle","publicationIDNumber":"20.500.12348/707","publicationURL":"https://hdl.handle.net/20.500.12348/707"},{"publicationCitation":"Marinda, P. A., Genschick, S., Khayeka-Wandabwa, C., Kiwanuka-Lubinda, R., & Thilsted, S. H. (2018). Dietary diversity determinants and contribution of fish to maternal and under-five nutritional status in Zambia. 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The role of fish and fish products in the diets of urban poor households, and how fish consumption is distributed within the household between women, children and men. Women and children in the first 1,000 days of life were specifically targeted. Children aged 24 – 59 months from participating households were also enrolled in the study. Lusaka district in Lusaka Province was purposively selected as the study area for the following reasons: it is an urban area within Lusaka Province with the highest number of high density settlement townships where the majority of the urban poor live in Zambia. The study targeted low-income settlement localities as the people living in these areas are most vulnerable to food and nutrition insecurity. \nTo derive the sample size, the formula was applied; n is the minimum required sample size, Z is the Z score for the desired level of confidence (assumed to be 95% or = 0.05), is the population proportion of interest estimated to be 11%, the prevalence of stunted growth among children in Lusaka (27) and d is the margin of error (assumed to be 5%). \nThe calculated sample size was further adjusted for the design effect and non-response rate (predicted to be 5%), to obtain the optimal sample size of 714 households. A sampling frame was developed from the 2010 Population Census and Housing report, in consultation with the local authorities and the Central Statistics Office (CSO). The sampling process involved, firstly, purposively selecting the three constituencies (Kanyama, Matero and Munali) from Lusaka district. From each constituency, one ward was randomly selected to participate in the study. In each reporting domain, study households were selected using a three-stage randomized cluster approach, with the first two stages using the Ward and Standard Enumeration Area (SEA) sampling frame from the 2010 CSO. A total of 36 SEAs (clusters) were identified and from each, 20 households were selected. Using a determined sampling interval, systematic random sampling was used in the final sampling stage. \nPrimary data collection was carried out through a tablet-based questionnaire and by the use of the KoBo Toolkit, a platform to customise the survey to collect specific data, in this study:\na)\tDemographic and socio-economic characteristics, including employment and income generating activities, water and sanitation, and household assets; \nb)\tDietary diversity questionnaires were developed and used to collect dietary data for children, women and men. Guidelines on food groups to be included in the questionnaire as provided by FAO 2013 were used in developing the questionnaire for women, men and for household level data collection. The WHO 2010 guidelines were used in developing the questionnaire for collecting dietary data for children 6–23 months of age. Dietary diversity is a proxy for adequate micronutrient-density of foods. A 24 hour recall collected data that was used to estimate food intake for two adults within the household (one male and one female), infants aged 6 – 23 months and one child aged 2 – 5 years. Development of the 24 hr recall was based on the methods described by Gibson and Ferguson (2008). In addition, a dietary diversity questionnaire (FFQ) was used collect data on various food groups women, children and men consumed in the last 24 hours prior to the study. With focus on fish in the diet of young children, information was collected on the use of fish in the initiation of complementary feeding, the age at which fish is fed to children, the perceptions of mother and fathers of the importance of fish for growth and development of the young child.\nc)\tAnthropometric measurements such as weight and length/height were taken on the children and mothers/caregivers. This was done to enable determine the nutritional status of children 6 -23 months; 24- 59 months and women aged 19 – 49 years. The weights of children were taken using the SECA electronic scale and for those children, who were unable to stand, the parents/guardians were asked to carry them and their weights were subtracted from the mothers’ weight. The children’s weights were taken to the nearest 0.1 kg with minimal clothes on them. Length/height boards were used to take the length/height to the nearest 0.1 cm. Children’s age was verified using the clinic card. The mothers’ weight and height were also taken using the SECA scales. The measurements were used to determine mothers’ BMI."},"language":"English","title":"Replication Data for: Urban Lusaka Food Consumption and Nutrition Survey: Role of Fish in Diets of Vulnerable groups","citation:depositor":"WorldFish RDM Team","subject":"Social Sciences","geospatial:geographicUnit":"28.3228° E 15.3875° S","dateOfDeposit":"2018-05-15","@id":"https://doi.org/10.7910/DVN/FL9DDZ","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"5.1","schema:name":"Replication Data for: Urban Lusaka Food Consumption and Nutrition Survey: Role of Fish in Diets of Vulnerable groups","schema:dateModified":"Fri Jan 24 00:01:40 UTC 2025","schema:datePublished":"2018-05-15","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/licenses/by/4.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"Harvard Dataverse","schema:isPartOf":{"schema:name":"WorldFish Dataverse","@id":"https://dataverse.harvard.edu/dataverse/worldfish","schema:description":"

WorldFish research is regarded as international public goods, and we are committed to the widespread dissemination of all our information products. One of the organizational objectives is to make all of its products open. This is in line with both the Center’s Research Data Management and Open Access Policy and the CGIAR Open Access and Data Management Policy. Opening our research, including publications, data and tools, ensures that more people can read and apply our research findings, thereby increasing the efficiency, reach and impact of our work. \n

\nProper citation should be included with the use of all datasets.\n

\nPlease use email button above to contact the WorldFish Knowledge and Data Management team with any queries on WorldFish datasets","schema:isPartOf":{"schema:name":"Harvard Dataverse","@id":"https://dataverse.harvard.edu/dataverse/harvard","schema:description":"

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