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# Title of Dataset: KENFIN-EDURA
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Contact: Noora Kanerva noora.kanerva@helsinki.fi 

Brief summary of dataset contents:

This data was collected as a part of a 3-year collaborative project “The Kenya-Finland Education and Research Alliance (KENFIN-EDURA)” funded by the Finnish Ministry of Foreign Affairs through the Higher Education Institutions Institutional Cooperation Instrument (HEI ICI). The aim of this project was to improve education and teaching capacity at the Kenyatta University, Nairobi, with a focus on NCDs-related behavior, mainly diet and physical activity.

The cross-sectional data collection was conducted among of 9-14 years old pre-adolescents and their guardians living in low- (Embakasi) and middle-income (Langata) sub-counties in Nairobi City. 

A multi-stage sampling technique was conducted to identify the households where data would be collected. Embakasi represented low SES (partly an informal settlement) and Langata the middle SES. Next, five villages were selected randomly from Kayole North Central Ward (from Embakasi) and 12 estates from Nairobi West Ward (from Langata). These wards were purposively selected from the sub-counties, since they are densely populated and would therefore provide adequate sample of the target population (pre-adolescents). The final stage of sampling involved the enumeration of households with a child in the age range 9-14 years from the selected villages and estates with the assistance of Community Health Volunteers (CHVs). In total 223 households were enumerated in Embakasi and 173 households in Langata. Simple random sampling technique was used to select 80 households from both sub-counties. A total of 149 households, response rate of 93%, participated: 72 from Embakasi and 77 from Langata.

The sociodemographic characteristics were collected using a validated questionnaire. Weight and height were measured and Body mass index (BMI) calculated using standard approved protocols. For the adolescents, BMI z-scores were calculated using WHOs quidelines (de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ 2007 Sep;85(9):660–667.).  Socioeconomic characteristics of the residential sites were accessed using Wealth Index, created by using Principal Component Analysis (Hjelm L, Miller D, Wadhwa A. VAM Guidance paper. Creation of Wealth Index. World Food Program; 2017. URL: https://docs.wfp.org/api/documents/WFP-0000022418/download/).

Data file includes checked and corrected data that can be handed out for researchers and used in data analysis. Only non-sensitive data is shared. More complete dataset is available on reasonable request.

## Description of the Data and file structure

Data was compiled with R to a csv-file. Data is in wide format, each variable in its own column and each participated household in its own row. The data includes selected household sociodemographic background information, wealth and anthropometric measures for both guardians and adolescents. Z scores for adolescents’ BMI (body mass index) were calculated using WHO’s instructions. Wealth index was created following instructions by the World Food Program. Below you can find the original questions asked from the participants, variable names in the data and coding. Missing values are indicated with "NA".

## Sharing/access Information

Links to other publicly accessible locations of the data: None

Was data derived from another source?
No

Table. Variables and their coding.

Original questions in the questionnaire	variable name in the data	Meaning of Variables 	ANSWER OPTIONS 	coding (allowed values )	Unit	
 	marit	Marital status	Married	1	 	
			Living together	2		
			Single	3		
			Divorced	4		
			Separated	5		
			Widow	6		
						
 	edu	Level of education	No formal education	1	 	
			Adult education only	2		
			Completed primary	3		
			Not completed primary	4		
			Completed secondary education	5		
			Not completed secondary	6		
			Certificate training	7		
			Diploma	8		
			Degree	9		
 	 	 	Post Graduate	10	 	
 	occup	Main occupation of guardian	Established own business (formal)	1	 	
			Un established own business (informal)	2		
			Informal salaried	3		
			Informal casual	4		
			Formal casual	5		
			Formal salaried	6		
			Unemployed	7		
			Student	8		
			Urban agriculture	9		
			Housewife	10		
			Domestic help	11		
			Job searching	12		
			Other	13		
						
	WealthIndex	Developed according to the WFP guide using factor analysis	Please see the related publication for detailed description.	-1.44 - 2.1		
	RWealthI			1.5 - 156		
	WealthIndex_Quintiles	People were divided into fifths based on Wealth Index value from factor analysis				
			lowest wealth	1		
				2		
				3		
				4		
			highest wealth	5		
						
	area	Research area		1	Kayole	
				2	Langata	
						
	zscore_bmi	Adolescent z-score for BMI, calculated by using WHO's formula		-5 - +5	z-score	
	adult_bmi	Adult BMI, calculated using adult_lengthav and adult_weightav as kg/m2		10 - 70	kg/m2