Multisystemic factors predicting street migration of children in Kenya: A multilevel longitudinal study of families and villages

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. This study analyzes longitudinal cohort data to identify factors predicting street-migration of children – at caregiver- and vil...

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Veröffentlicht in:Child abuse & neglect 2024-08, Vol.154, p.106897, Article 106897
Hauptverfasser: Goodman, Michael, Theron, Linda, McPherson, Heidi, Seidel, Sarah, Raimer-Goodman, Lauren, Munene, Kelvin, Gatwiri, Christine
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Sprache:eng
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Zusammenfassung: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. This study analyzes longitudinal cohort data to identify factors predicting street-migration of children – at caregiver- and village-levels. 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. 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. 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. 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.
ISSN:0145-2134
1873-7757
1873-7757
DOI:10.1016/j.chiabu.2024.106897