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

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Authors

Goodman, Michael L.
Theron, Linda C.
McPherson, Heidi
Seidel, Sarah
Raimer-Goodman, Lauren
Munene, Kelvin
Gatwiri, Christine

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

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.

Description

DATA AVAILABILITY : Data will be made available on request.

Keywords

Street-migration, Children and youth, Kenya, Multisectoral, Prevention, SDG-03: Good health and well-being, SDG-11: Sustainable cities and communities

Sustainable Development Goals

SDG-03:Good heatlh and well-being
SDG-11:Sustainable cities and communities

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.