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 |
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dc.date.issued |
2024-08 |
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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 |
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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) |
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dc.identifier.issn |
1873-7757 (online) |
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dc.identifier.other |
10.1016/j.chiabu.2024.106897 |
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dc.identifier.uri |
http://hdl.handle.net/2263/97449 |
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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 |