A comparative study of mental health status among left-behind, migrant, and local adolescents in China.

OBJECTIVE: Influence of migration on mental impairments among adolescents has been well assessed. However, there lack empirical data on multiple mental health problems and comparisons of children who suffer from different parental migration. This study aims to compare the mental health status among left-behind adolescents (LBA), migrant adolescents (MA), and local adolescents (LA). METHODS: A total of 67,532 adolescents were investigated on depression, anxiety, sleep disturbance, and psychotic-like experiences (PLEs). The LBA were registered in Shenzhen's hukou (household register system) and are living in Shenzhen while their parent(s) has/have migrated to work elsewhere for over 6 months. MA, defined as adolescents who immigrated with parents from other places, are living but not registered in Shenzhen hukou. LA referred to adolescents who were registered in Shenzhen hukou and are living with their parents. Social-demographics, family function, and school climate were also evaluated as influential factors. RESULTS: The prevalence of overall mental health problems was 37.4 % for LBA, which was higher than that of MA (27.9 %) and LA (27.1 %). Females, adolescents with chronic physical illness, and with family history of mental disorders are all contributed to the increased occurrence of mental health issues. Poorer family function and school climate were also negatively associated with mental health among the three types of adolescents. CONCLUSION: LBA is at a higher risk for poor mental health than other adolescents. Interventions that promoting family function and improving school climate may be helpful, especially for girls with chronic physical illness, or with family history of mental disorders.

Resilience buffers the association between sleep disturbance and psychotic-like experiences in adolescents.

BACKGROUND: Sleep disturbance may cause psychotic-like experiences (PLEs). The present study aimed to exam their rate of co-occurrence and investigate whether resilience buffers the association. METHODS: A total of 50,625 junior high school students were assessed using the self-compiled socio-demographics and sleep questionnaires, 8-item Positive Subscale of the Community Assessment of Psychic Experiences, 10-item Connor-Davidson Resilience Scale, Patient Health Questionnaire and Generalized Anxiety Disorder Questionnaire. RESULTS: In this sample, 15.8% participants had frequent PLEs in the past month, where 40.1% exhibited comorbid sleep disturbance. Sleep disturbance positively associated with the onset of frequent PLEs, after adjusting for socio-demographics, depression and anxiety. Moderation analysis showed resilience buffers the association between sleep disturbance and PLEs, with a higher level of resilience, the positive effect of sleep disturbance on PLEs would be diminished to a greater extent. CONCLUSIONS: These findings suggested that early attention should be drawn to adolescents with sleep disturbance. Intervention strategies should be enhancing resilience, increasing sleep duration and improving sleep quality.