Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29585
Title: Local and long-distance migration among young people in rural Malawi: importance of age, sex and family
Authors: McLean, E
Dube, A
Kalobekamo, F
Slaymaker, E
Crampin, AC
Sear, R
Keywords: children;adolescents;migration;mobility;Malawi;multi-level modelling;family
Issue Date: 18-Mar-2024
Publisher: F1000 Research
Citation: McLean, E. et al. (2024) 'Local and long-distance migration among young people in rural Malawi: importance of age, sex and family [version 2; peer review: 4 approved]', Wellcome Open Research, 8, 211, pp. 1 - 29. doi: 10.12688/wellcomeopenres.19309.2.
Abstract: Background: In sub-Saharan Africa, migration of young people is common and occurs for a variety of reasons. Research focus is often on international or long-distance internal migration; however, shorter moves also affect people’s lives and can reveal important information about cultures and societies. In rural sub-Saharan Africa, migration may be influenced by cultural norms and family considerations: these may be changing due to demographic shifts, urbanisation, and increased media access. Methods: We used longitudinal data from a Health and Demographic Surveillance Site in rural northern Malawi to present a detailed investigation of migration in young people between 2004–2017. Our focus is on the cultural effects of gender and family, and separate migrations into short and long distance, and independent and accompanied, as these different move types are likely to represent very different events in a young person’s life. We use descriptive analyses multi-level multinomial logistic regression modelling. Results & conclusions: We found two key periods of mobility 1) in very young childhood and 2) in adolescence/young adulthood. In this traditionally patrilocal area, we found that young women move longer distances to live with their spouse, and also were more likely to return home after a marriage ends, rather than remain living independently. Young people living close to relatives tend to have lower chances of moving, and despite the local patrilineal customs, we found evidence of the importance of the maternal family. Female and male children may be treated differently from as young as age 4, with girls more likely to migrate long distances independently, and more likely to accompany their mothers in other moves.
Description: Data availability statement: Underlying data: Due to the nature of the dataset (containing exact GPS coordinates of individuals households and potentially unique patterns of local relatives), it would not be possible to anonymise it in such a way that would sufficiently protect the participants’ privacy and allow for useful analyses. MEIRU are, however, keen to share data and collaborate with bona fide researchers and students at universities and research institutes. Interested parties should contact the first author [EM] through info@meiru.mw in the first instance, quoting the paper title. After a discussion of data needed, a signed data transfer agreement would be required. Metadata on the MEIRU dataset which formed the basis of these analyses can be found, along with information on other studies, on MEIRU’s data catalogue (https://kpsmw.lshtm.ac.uk/nada/index.php/catalog/13),
Analysis code: Zenodo: Local and long-distance migration among young people in rural Malawi: importance of age, sex and family (author-written code & extended data table). Author-written code in Stata, R and MLwiN, and extended data table for article published on Wellcome Open Research. https://doi.org/10.5281/zenodo.10812334 This project contains the following files: ExtData_full_regression_models.xlsx An excel file with results from full regression models Prog1_create_migration_datasets.do A Stata do-file containing code to manipulate the main dataset into the analytical dataset Prog2_explo_desc_analysis.do A Stata do-file containing code for the exploratory and descriptive analyses reported in this paper Prog3_prepare_forR_Sankey.do A Stata do-file containing code to manipulate the analytical dataset into the format required to generate the Sankey diagrams in R Prog4_prepare_forMLwinN_Modelv2.do A Stata do-file containing code to manipulate the analytical dataset into the format required to run the multi-level modelling using MLwiN Prog5_sankey_plots.R An R script containing code to generate the Sankey diagrams reported in this paper Prog6_MLwiN_modelsv2.txt An MLwiN macro containing code to run the multi-level models reported in this paper Data are available under the terms of the Creative Commons Attribution 4.0 International
URI: https://bura.brunel.ac.uk/handle/2438/29585
DOI: https://doi.org/10.12688/wellcomeopenres.19309.2
Other Identifiers: ORCiD: Estelle McLean https://orcid.org/0000-0001-6079-0663
ORCiD: Emma Slaymaker https://orcid.org/0000-0002-4941-5739
ORCiD: Ameila C. Crampin https://orcid.org/0000-0002-1513-4330
ORCiD: Rebecca Sear https://orcid.org/0000-0002-4315-0223
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Appears in Collections:Dept of Life Sciences Research Papers

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