Humid Tropics Agrobiodiversity and Nutrition Project - Plenty season
Kenya, 2014
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KEN_2014_HTANP_PS_v01_M_v01_A_ESS
Humid Tropics Agrobiodiversity and Nutrition Project - Plenty season
| Name | Country code |
|---|---|
| Kenya | KEN |
Individual Food Consumption/Dietary Survey [hh/ifcs]
The Humid Tropics Agrobiodiversity and Nutrition Project is part of the Humidtropics and Agriculture for Nutrition and Health Research Programmes of CGIAR. The project aims to collect information on dietary intake indicators for women and children for the evaluation of the research projects' performance. This series of studies comprises: two diagnostic surveys conducted in the plenty season (between September and October 2014) and in the lean season (between March and April 2015); a baseline study conducted in November 2015; and an endline study conducted in November 2016.
The study aimed to provide information on dietary intake indicators for women and children for the evaluation of the Humid Tropics Agrobiodiversity and Nutrition Project performance. It covers the Plenty Season following the harvest period and is when food availability is at the highest.
Sample survey data [ssd]
Individuals.
Scope
The survey collected information on:
- SUBJECTS: information on the participants such as age, sex and geographical location
- CONSUMPTION: information on all foods consumed by each participant in each survey day, including quantities and nutrient values
Coverage
Sub-national coverage, only rural areas.
The population group covered in the survey was women of reproductive age and their children from 6 to 23 months of age.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Bioversity International | CGIAR |
| International Center for Tropical Agriculture (CIAT) | CGIAR |
Sampling
The sampling procedure involved a two-stage cluster sampling design. In the first stage, ten clusters were selected using mixed sampling approaches. Five of the clusters were purposely selected because they were used as control clusters in a previous project conducted by Bioversity International within the same study area. Five other clusters were randomly sampled from a sampling frame of 119 clusters. In the second stage, sampling frames comprising households with at least one child aged between 6 and 23 months and a woman of reproductive age (15 - 49 years) were prepared for each selected cluster through a household census exercise, conducted by community health volunteers. A representative sample was drawn using a stratified random sampling technique.
No survey weights were used in this survey.
Data collection
| Start | End |
|---|---|
| 2014-03-22 | 2014-12-13 |
- Face-to-face [f2f]
| Name | Affiliation |
|---|---|
| Bioversity International | CGIAR |
| International Center for Tropical Agriculture (CIAT) | CGIAR |
The dietary assessment of the children and their caregivers was done using a repeated non-consecutive quantitative 24-hour food intake recall method. First, subjects were asked to mention all foods and beverages consumed in the preceding 24 hours. Then they were asked to describe the foods and beverages consumed including ingredients and cooking methods of mixed dishes. The amounts of all foods, beverages, and ingredients of mixed dishes consumed were estimated either in weight, household units (volume determined by water content), or in monetary value. The proportion of what was eaten by the subject was then determined based on the volume eaten and the total volume of the dish. This proportion was used to calculate the amount of ingredients consumed in their raw forms. For dishes consumed outside the home, standard recipes were used and the amount of ingredients consumed by the subject was determined. The Tanzanian Food Composition table (2018) was used to convert the food consumed to nutrients taken. Foods missing in the Tanzanian Food Composition were filled with composition data from the USDA Food Composition Database, the West African Food Composition data, and food composition data derived from various peer reviewed articles.
Data Access
| 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:
- The micro dataset will only be used for statistical and/or research purposes;
- Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
- 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;
- The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
Humid Tropics Agrobiodiversity and Nutrition Project – Diagnostic survey Vihiga County: Kenya 2014, Bioversity International Kenya
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | |
|---|---|---|
| Food and Nutrition Division | Food and Agriculture Organization of the United Nations | [email protected] |
Metadata production
DDI_KEN_2014_HTANP_PS_v01_M_v01_A_ESS_FAO
| Name | Affiliation | Role |
|---|---|---|
| Food and Nutrition Division | Food and Agriculture Organization of the United Nations | Metadata producer |
| Statistics Division | Food and Agriculture Organization of the United Nations | Metadata adapted for FAM |