Evidence map›Paper›PMID 38870709›Full record

ArticleChild abuse & neglect2024

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

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

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Article in Child abuse & neglect, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Michael GoodmanUniversity of Texas Medical Branch, Galveston, TX, USA. Electronic address: migoodma@utmb.edu.
Linda TheronUniversity of Pretoria, South Africa.
Heidi McPhersonUniversity of Texas Health Science Center in Houston, USA.
Sarah SeidelSodzo International, Houston, TX, USA.
Lauren Raimer-GoodmanUniversity of Texas Medical Branch, Galveston, TX, USA.
Kelvin MuneneSodzo Kenya, Meru County, Kenya.
Christine GatwiriSodzo Kenya, Meru County, Kenya.

Funding

Strengthening Families Living with HIV in KenyaK01MH119973 · NIMH · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GOODMAN, MICHAEL · 2020 to 2024
$869k
NIMH NIH HHS K01 MH119973
6 · The paper itself

Abstract

backgroundStreet-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.

objectiveThis study analyzes longitudinal cohort data to identify factors predicting street-migration of children - at caregiver- and village-levels. PARTICIPANTS AND

settingKenyan 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.

methodsAt 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.

resultsIn 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.

conclusionsWhile 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.

Indexed as

ParentingAdolescentAdultCaregiversChildChild, PreschoolFemaleHomeless YouthHumansKenyaLongitudinal StudiesMaleRisk FactorsYoung AdultChildren and youthKenyaMultisectoralPreventionStreet-migration

Identifiers

PMID38870709
PMCPMC11316653

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