KEN_2016_IPTDANE_v01_M_v01_A_ESS
Innovative, participatory tools for dietary assessment and nutrition education in Turkana County – Diagnostic survey
IPTDANETC-DS KEN 2016
| Name | Country code |
|---|---|
| Kenya | KEN |
Individual Food Consumption/Dietary Survey [hh/ifcs]
The survey explored the potential contributions made by locally available agrobiodiversity to the diets of women and children, and it developed innovative tools for measuring diverse diets as well as nutrition education tools that take into account the locally available biodiverse foods.
Sample survey data [ssd]
Individuals
The survey collected information on:
Sub-national coverage, only rural areas.
The population groups covered in the survey were women of reproductive age and children under 3 years old.
| Name |
|---|
| Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) |
The sample was stratified by livelihood zone, distinguishing between agro-pastoral and pastoral zones. Within each livelihood zone, three villages were randomly selected from a sampling frame of 21 villages (15 agro-pastoral and 6 pastoral) in Loima Sub-County, Turkana County. The final sample comprised 442 participants, of whom 221 were women of reproductive age and 221 were their infants.
No survey weights were used in this survey.
| Start | End |
|---|---|
| 2016-09-24 | 2016-10-03 |
| Affiliation | Abbreviation |
|---|---|
| Alliance of Bioversity International and the International Center for Tropical Agriculture | CIAT |
Dietary assessment of children and their caregivers was conducted using the multi-pass quantitative 24-hour food intake recall method. First, respondents were asked to report on all foods and beverages consumed during the preceding 24 hours. Then they were asked to describe the foods and beverages consumed, including ingredients and cooking methods for mixed dishes. The amounts of all foods, beverages, and ingredients of mixed dishes consumed were estimated either in weight, household units (the volume was determined by water content), or in monetary value. The proportion of what was consumed by the respondent was then determined based on the volume consumed and the total volume of the dish cooked. This proportion was used to calculate the amount of ingredients consumed in their raw forms. For dishes consumed outside the home, standard recipes were prepared and they were used to determine the amount of ingredients consumed by the respondent.
Intake data was entered and processed in Lucille, a specialized dietary intake software application developed by the University of Ghent, Belgium. After uploading a food composition table and entering quantitative food intake data per person per day, the software generates the individual nutrient intake estimates.
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO. |
Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:
Innovative, participatory tools for dietary assessment and nutrition education in Turkana County – Diagnostic survey 2016, Kenya, Bioversity International, 2016.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
| Name | Affiliation | |
|---|---|---|
| Food and Nutrition Division | Food and Agriculture Organization of the United Nations | [email protected] |
DDI_KEN_2016_IPTDANE_v01_M_v01_A_ESS_FAO
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Food and Nutrition Division | ESN | Food and Agriculture Organization of the United Nations | Metadata producer |
| Statistics Division | ESS | Food and Agriculture Organization of the United Nations | Metadata adapted for FAM |