TY - JOUR
T1 - Multisystemic factors predicting street migration of children in Kenya
T2 - A multilevel longitudinal study of families and villages
AU - Goodman, Michael
AU - Theron, Linda
AU - McPherson, Heidi
AU - Seidel, Sarah
AU - Raimer-Goodman, Lauren
AU - Munene, Kelvin
AU - Gatwiri, Christine
N1 - Publisher Copyright:
© 2024
PY - 2024/8
Y1 - 2024/8
N2 - 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.
AB - 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.
KW - Children and youth
KW - Kenya
KW - Multisectoral
KW - Prevention
KW - Street-migration
UR - http://www.scopus.com/inward/record.url?scp=85195680146&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85195680146&partnerID=8YFLogxK
U2 - 10.1016/j.chiabu.2024.106897
DO - 10.1016/j.chiabu.2024.106897
M3 - Article
AN - SCOPUS:85195680146
SN - 0145-2134
VL - 154
JO - Child Abuse and Neglect
JF - Child Abuse and Neglect
M1 - 106897
ER -