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

Journal: Child abuse & neglect

Volume: 154

Issue: 

Year of Publication: 

Affiliated Institutions:  University of Texas Medical Branch, Galveston, TX, USA. Electronic address: migoodma@utmb.edu. University of Pretoria, South Africa. University of Texas Health Science Center in Houston, USA. Sodzo International, Houston, TX, USA. University of Texas Medical Branch, Galveston, TX, USA. Sodzo Kenya, Meru County, Kenya.

Abstract summary 

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.

Authors & Co-authors:  Goodman Michael M Theron Linda L McPherson Heidi H Seidel Sarah S Raimer-Goodman Lauren L Munene Kelvin K Gatwiri Christine C

Study Outcome 

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Citations : 
Authors :  7
Identifiers
Doi : 10.1016/j.chiabu.2024.106897
SSN : 1873-7757
Study Population
Male,Female
Mesh Terms
Other Terms
Children and youth;Kenya;Multisectoral;Prevention;Street-migration
Study Design
Cohort Study,Case Study,Longitudinal Study
Study Approach
Country of Study
Kenya
Publication Country
England