Abstract
BACKGROUND: The socioecological resilience (SER) model explains that individual, relational, and structural factors influence child development and mental health. Children in low-to middle-income countries (LMICs) are affected by multiple risk factors on different SER levels. This cross-sectional study aimed assess the influence of experience of child labour and poor caregiving practices on child development in LMICs using the SER model. METHOD: Data regarding child development, caregiving practices, and child labour collected through Multiple Indicator Cluster Surveys (MICS) by UNICEF were analysed. Differences in prevalence of developmental delays, mental illness, child labour, and poor caregiving practices were compared across countries and across different sociodemographic index (SDI) levels. Multi-level modelling was used to determine factors associated with developmental difficulties, and anxiety, and depression symptoms in children. RESULTS: 251,681 children were included in the analysis. Significant variations in child labour engagement existed across low to upper-middle SDI countries. Prevalence of anxiety (30.8%), depression (40.8%) and socio-emotional difficulties (mean score = 0.115) were highest in low SDI countries. Poor physical caregiving, engagement in child labour, and low maternal education was significantly associated with higher socio-emotional difficulties, anxiety, and depression. CONCLUSION: To address the complex interplay between extreme poverty and adverse child health outcomes across low SDI countries, a multifaceted approach aimed at alleviating poverty, improving access to education, strengthening social protection systems, and promoting effective caregiving practices are required.