Data · dataset · 2020
Food and beverage consumption and routines of adolescents and adults in Ghana and Kenya
Listed in DataSuds
Food intake was assessed using qualitative 24hr recall (food type information only, not quantity consumed).
Description
In 2017, interviewers noted all food and drink consumed by participants inside/outside the home in the previous 24hr period, also recording how long a food event lasts (time categories), time of day of the food event (exact time in minutes), who participants eat with and where. The 24hr dietary recall was structured around a pre-populated 24hr recall tool that we developed on a pre-programmed tablet including >200 foods.
Quota sampling was used to recruit participants taking the following into account: age, sex, socio-economic status, employment/education status and Body Mass Index. Sample here is for n=259 adolescents and adult (male/female) participants aged >=13 years in Accra, Ghana (n=101) and Nairobi, Kenya (n=158). Data were anonymized and can be transmitted upon a data sharing agreement and regulatory compliance: refer to "Terms of Use" statement.
Links
Where it is published
- Dataverse dataset page dataverse.ird.fr/dataset.xhtml?persistentId=doi%3A10.23708%2FS0Q2QX ↗
landing page · from dataverse ird fr
- DOI doi.org/10.23708/s0q2qx ↗
DOI / persistent id · from dataverse ird fr
Catalogue records · 1
- Dataverse API dataverse.ird.fr/api/datasets/:persistentId/?persistentId=doi%3A10.23708%2FS0Q2… ↗
metadata API · from dataverse ird fr
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Earth & Environmental Science · Life Sciences · Medicine & Health
- Inferred from text
- Nutrition and dietetics 70%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataSuds | doi:10.23708/S0Q2QX | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3210 | enrichment · dataverse ird fr | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| created_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| description | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /description |
| publication_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| title | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /name |
| updated_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| version_label | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 |