Why Do Migrant Children Have Poorer Mental Health Compared to Urban Children? A Network Analysis Approach
Juanjuan Sun1, Kemeng Yao1, Jinghui Zhang1
1Shanghai Institute of Early Childhood Education, Shanghai Normal University, Shanghai, People's Republic of China.
Insights
Family dynamics significantly impact preschooler well-being. Network analysis reveals distinct risk factors for urban and migrant children, emphasizing parental roles and household environment in problem behaviors.
Area of Science:
- Child Psychology
- Family Studies
- Network Analysis
Background:
- Mobility is a known risk factor for mental health, but underlying mechanisms are unclear.
- Traditional methods don't fully capture complex family risk factor interactions.
- Understanding these dynamics is crucial for child well-being interventions.
Purpose of the Study:
- To explore collective effects of family risk factors on problem behaviors in preschoolers.
- To compare risk networks between urban and migrant children using network analysis.
- To identify specific risk patterns in high-risk migrant children.
Main Methods:
- Recruited 1,469 children (urban and migrant) and their parents.
- Employed network analysis to examine interrelationships among family risk factors.
- Used latent profile analysis to identify risk groups and network analysis for unique risk patterns.
Main Results:
- Household chaos, maternal punishment, and executive function were central to internalizing and externalizing problems.
- Paternal influences were more significant in migrant families; maternal influences were more salient in urban families.
- High-risk migrant children showed clustered, yet less connected, risk networks, indicating fragmented dynamics.
Conclusions:
- Parental roles and differing social contexts are vital for child subjective well-being.
- Cumulative risk and family network structures influence problem behaviors.
- Network analysis offers a novel approach to understanding complex family influences on child mental health.
Introduction:
Although mobility has been identified as a significant risk factor adversely affecting mental health and well-being, the mechanisms underlying this association remain insufficiently understood. Unlike traditional linear regression approaches, this study applies network analysis to systematically explore how multiple family risk factors collectively affect problem behaviors in migrant and urban preschoolers.
Methods:
A total of 1,469 children (500 urban, 959 migrant) and their parents were recruited. Network analysis examined interrelationships among family risk factors and compared risk networks between migrant and urban children. Latent profile analysis identified general and high-risk migrant groups based on problem behaviors, and network analysis explored unique risk patterns in high-risk migrant children.
Results:
Three key factors-household chaos, maternal punishment, and maternal executive function-proved central in shaping both internalizing and externalizing problems. Importantly, paternal influences played a more significant role within migrant families, while maternal influences were more salient in urban families. Furthermore, among migrant families, high-risk children exhibited risk networks that were densely clustered around mother- and father-centered "risk networks" independently, yet demonstrated lower overall network connectivity, suggesting a more fragmented pattern of family risk dynamics.
Discussion:
These findings highlight the importance of parental roles, differing social contexts, and cumulative risk in understanding child subjective well-being.
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