Parental migration patterns and children depression in China's ethnic minority rural areas: A latent profile analysis

Mental health problems among rural children have aroused widespread concern in both society and academia. Ethnic minority rural children, in particular, confront various challenges, including poverty and psychological crises. Compared to their non-rural counterparts, they are more prone to experiencing depression and other adverse emotions. Consequently, investigating the protective factors against depression in ethnic minority rural children holds significant practical importance. This study aimed to identify the depression subgroups among Chinese rural minority children, and to focus on the prediction of parental migrant patterns on depression subgroups. The data for this research were collected from primary school students in Congjiang County, Guizhou Province, China, with a sample size of 745 participants. Latent profile analysis (LPA) was applied to explore the depression categories. Depressive symptoms were assessed with the 20-item Center for Epidemiological Studies Depression Scale (CESD). Logistic regression analyses were used to explore the influence of parental migrant patterns on the identified depression categories. LPA results showed that the most suitable model comprised three profiles: "Diverse, severe somatic symptoms (7.4%)", "Stable, low depression (68.8%)" and "Diverse, severe depression (23.8%)". Significant statistical differences (P < 0.05) were observed in depression symptoms among these three profiles. Logistic regression analysis indicated that children with only mothers working outside the home were more likely to fall into the "Diverse, severe somatic symptoms" subgroup (OR = 2.955, P < 0.05). Children with both parents at home were less likely to be classified in the "diverse, severe depression" subgroup (OR = 0.627, P < 0.05). At the same time, it was found that the pattern of parents working outside the home had no significant effect on the subgroup of "stable, low depressive symptoms" (P > 0.05). For ethnic minority rural children, parental migration patterns will affect their depression subgroups, especially when only mother goes out to work. Therefore, it is necessary to pay attention to the mental health status of this group and provide specific support.

Authors

Institutions

Publication Details

Journal
Acta Psychologica
Published
2025-02-20
DOI
https://doi.org/10.1016/j.actpsy.2025.104836
Citations
1
Primary Topic
Early Childhood Education and Development
Type
article
Field-Weighted Citation Impact
8.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parental migration patterns and children depression in China's ethnic minority rural areas: A latent profile analysis

Yunting Chen, Yafeng Li, Jing Zeng
1 citations
Acta Psychologica
Early Childhood Education and Development
8.93
article

Parental migration patterns and children depression in China's ethnic minority rural areas: A latent profile analysis

Yunting Chen, Yafeng Li, Jing Zeng
article en
1 citations

Abstract

Mental health problems among rural children have aroused widespread concern in both society and academia. Ethnic minority rural children, in particular, confront various challenges, including poverty and psychological crises. Compared to their non-rural counterparts, they are more prone to experiencing depression and other adverse emotions. Consequently, investigating the protective factors against depression in ethnic minority rural children holds significant practical importance. This study aimed to identify the depression subgroups among Chinese rural minority children, and to focus on the prediction of parental migrant patterns on depression subgroups. The data for this research were collected from primary school students in Congjiang County, Guizhou Province, China, with a sample size of 745 participants. Latent profile analysis (LPA) was applied to explore the depression categories. Depressive symptoms were assessed with the 20-item Center for Epidemiological Studies Depression Scale (CESD). Logistic regression analyses were used to explore the influence of parental migrant patterns on the identified depression categories. LPA results showed that the most suitable model comprised three profiles: "Diverse, severe somatic symptoms (7.4%)", "Stable, low depression (68.8%)" and "Diverse, severe depression (23.8%)". Significant statistical differences (P < 0.05) were observed in depression symptoms among these three profiles. Logistic regression analysis indicated that children with only mothers working outside the home were more likely to fall into the "Diverse, severe somatic symptoms" subgroup (OR = 2.955, P < 0.05). Children with both parents at home were less likely to be classified in the "diverse, severe depression" subgroup (OR = 0.627, P < 0.05). At the same time, it was found that the pattern of parents working outside the home had no significant effect on the subgroup of "stable, low depressive symptoms" (P > 0.05). For ethnic minority rural children, parental migration patterns will affect their depression subgroups, especially when only mother goes out to work. Therefore, it is necessary to pay attention to the mental health status of this group and provide specific support.

Acta PsychologicaVol. 254
Beijing Normal University (CN)
Reduced inequalities
Openalex Percentile: Top 5%
Early Childhood Education and Development
8.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.