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dc.contributor.author | Goodman, Michael L.![]() |
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dc.contributor.author | Theron, Linda C.![]() |
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dc.contributor.author | McPherson, Heidi![]() |
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dc.contributor.author | Seidel, Sarah![]() |
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dc.contributor.author | Raimer-Goodman, Lauren![]() |
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dc.contributor.author | Munene, Kelvin![]() |
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dc.contributor.author | Gatwiri, Christine![]() |
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dc.date.accessioned | 2024-08-06T10:14:04Z | |
dc.date.issued | 2024-08 | |
dc.description | DATA AVAILABILITY : Data will be made available on request. | en_US |
dc.description.abstract | BACKGROUND : Street-migration of children is a global problem with sparse multi-level or longitudinal data. Such data are required to inform robust street-migration prevention efforts. OBJECTIVE : This study analyzes longitudinal cohort data to identify factors predicting street-migration of children – at caregiver- and village-levels. PARTICIPANTS AND SETTING : Kenyan adult respondents (n = 575; 20 villages) actively participated in a community-based intervention, seeking to improve factors previously identified as contributing to street-migration by children. METHODS : At two time points, respondents reported street-migration of children, and variables across economic, social, psychological, mental, parenting, and childhood experience domains. Primary study outcome was newly reported street-migration of children at T2 “incident street-migration”, compared to households that reported no street-migration at T1 or T2. For caregiver-level analyses, we assessed bivariate significance between variables (T1) and incident street-migration. Variables with significant bivariate associations were included in a hierarchical logistical regression model. For community-level analyses, we calculated the average values of variables at the village-level, after excluding values from respondents who indicated an incident street-migration case to reduce potential outlier influence. We then compared variables between the 5 villages with the highest incidence to the 15 villages with fewer incident cases. RESULTS : In regression analyses, caregiver childhood experiences, psychological factors and parenting behaviors predicted future street-migration. Lower village-aggregated depression and higher village-aggregated collective efficacy and social curiosity appeared significantly protective. CONCLUSIONS : While parenting and economic strengthening approaches may be helpful, efforts to prevent street migration by children should also strengthen community-level mental health, collective efficacy, and communal harmony. | en_US |
dc.description.department | Educational Psychology | en_US |
dc.description.embargo | 2026-06-12 | |
dc.description.librarian | hj2024 | en_US |
dc.description.sdg | SDG-03:Good heatlh and well-being | en_US |
dc.description.sdg | SDG-11:Sustainable cities and communities | en_US |
dc.description.sponsorship | The National Institute of Mental Health of the National Institutes of Health. | en_US |
dc.description.uri | http://www.elsevier.com/locate/chiabuneg | en_US |
dc.identifier.citation | Goodman, M., Theron, L., McPherson, H. et al. 2024, 'Multisystemic factors predicting street migration of children in Kenya: a multilevel longitudinal study of families and villages', Child Abuse and Neglect, vol. 154, art. 106897, pp. 1-14, doi : 10.1016/j.chiabu.2024.106897. | en_US |
dc.identifier.issn | 0145-2134 (print) | |
dc.identifier.issn | 1873-7757 (online) | |
dc.identifier.other | 10.1016/j.chiabu.2024.106897 | |
dc.identifier.uri | http://hdl.handle.net/2263/97449 | |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.. Notice : this is the author’s version of a work that was accepted for publication in : Child Abuse and Neglect. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in : Child Abuse and Neglect, vol. , no. , pp. , 2024. doi : [24-36 months embargo] | en_US |
dc.subject | Street-migration | en_US |
dc.subject | Children and youth | en_US |
dc.subject | Kenya | en_US |
dc.subject | Multisectoral | en_US |
dc.subject | Prevention | en_US |
dc.subject | SDG-03: Good health and well-being | en_US |
dc.subject | SDG-11: Sustainable cities and communities | en_US |
dc.title | Multisystemic factors predicting street migration of children in Kenya : a multilevel longitudinal study of families and villages | en_US |
dc.type | Postprint Article | en_US |