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] LSHTM Data Compass. London, United Kingdom: 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

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
FromTo
20072016
Date (Completed) 30 April 2018
Geographical area covered
North LatitudeEast LongitudeSouth LatitudeWest Longitude
-9.9159133.9572-9.9879433.9155
Language(s) of written materials English
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)
Funders
ProjectFunderGrant NumberFunder URI
Understanding the causes of school drop-out in MalawiUNSPECIFIED079828/Z/06/CUNSPECIFIED
Understanding the causes of school drop-out in MalawiUNSPECIFIED098610/Z/12/ZUNSPECIFIED
Understanding the causes of school drop-out in MalawiUNSPECIFIEDES/L013967/1UNSPECIFIED
Depositor Gareth Knight
Date Deposited 25 Apr 2018 10:21
Last Modified 20 Nov 2018 15:39
Publisher London School of Hygiene & Tropical Medicine

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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.

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Description: User guide for Karonga demographic surveillance dataset

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Description: Karonga Prevention Study participant information sheet and consent form

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Filename: CRS-InfoSheet_ConsentForm.pdf

Description: Demographic surveillance by a Continuous Registration System (CRS) - information sheet and consent form

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