Data for the paper on "Early school failure predicts teenage pregnancy and marriage: a large population-based cohort study in Northern Malawi"

Sunny, B, Glynn, JR, Crampin, AC and Kanjala, C. 2018. Data for the paper on "Early school failure predicts teenage pregnancy and marriage: a large population-based cohort study in Northern Malawi". [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.285.

Sunny, B, Glynn, JR, Crampin, AC and Kanjala, C. Data for the paper on "Early school failure predicts teenage pregnancy and marriage: a large population-based cohort study in Northern Malawi" [Internet]. London School of Hygiene & Tropical Medicine; 2018. Available from: https://doi.org/10.17037/DATA.285.

Sunny, B, Glynn, JR, Crampin, AC and Kanjala, C (2018). Data for the paper on "Early school failure predicts teenage pregnancy and marriage: a large population-based cohort study in Northern Malawi". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.285.

Description

The data originate from a demographic surveillance site (DSS) in Karonga district in northern Malawi covering a population of >35,000 individuals from approx. 8000 households since 2002. This is run by MEIRU (Malawi Epidemiology and Intervention Research Unit). Annual individual and household-level socio-demographic and schooling data were combined with data on participants’ sexual behaviour, including age at sexual debut, pregnancy and marriage to examine the relationship between school progression (drop-out and age-for-grade) and sexual debut, pregnancy and marriage.

Methods

Description of data capture

Surveys were administered by field staff using paper questionnaires in the local language (Chitumbuka). Data collection was supervised and managed on site by a team of scientists, field enumerators and data entry personnel. Data were then double-entered into MS Access by the data entry office for further analysis. To examine the relationship between school progression and sexual debut, pregnancy and marriage, data was combined from (1) individual-level surveys (including schooling histories), (2) household-level socio-economic surveys (data on household assets and consumption) and (3) sexual behaviour data, including the approximate timing of sexual debut, pregnancy and marriage. Participant IDs are used to link individuals within and across households over time. Further details on the methods used for data capture and analyses have been elaborated in the methods section of the paper.

Data capture method

Questionnaire: Fixed form - Paper

Data Collection Period

From	To
2007	2016

Date (Date submitted to LSHTM repository)

30 April 2018

Geographical area covered (offline during plugin upgrade)

North Latitude	East Longitude	South Latitude	West Longitude
-9.91591	33.9572	-9.98794	33.9155

Language(s) of written materials

English

People & Groups

Data Creators	Sunny, B, Glynn, JR, Crampin, AC and Kanjala, C
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom, Malawi Epidemiology and Intervention Research Unit (MEIRU)

Projects

Funders

Project	Funder	Grant Number	Funder URI
Understanding the causes of school drop-out in Malawi	Wellcome Trust	079828/Z/06/C	http://dx.doi.org/10.13039/100010269
Understanding the causes of school drop-out in Malawi	Wellcome Trust	098610/Z/12/Z	http://dx.doi.org/10.13039/100010269
Understanding the causes of school drop-out in Malawi	Economic and Social Research Council	ES/L013967/1	http://dx.doi.org/10.13039/501100000269

Additional Information

Date Deposited	25 Apr 2018 10:21
Last Modified	04 Apr 2022 15:08
Publisher	London School of Hygiene & Tropical Medicine

Downloads

Data / Code

Karonga_DSS_dataset Request access

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Filename: Karonga_DSS_dataset.zip

Description: Karonga district demographic surveillance site (DSS) dataset. Controlled access has been set to protect participant confidentiality. An open access version will be made available at a later date.

Licence: Data Sharing Agreement

Content type: Dataset

File size: 255B

Mime-Type: application/zip

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