Rural-urban migration and mental health of Chinese migrant children: Systematic review and meta-analysis

Zheng

2022

PLoS ONE

Using data from the China Education Panel Survey (CEPS), this study empirically examines the association between internal migration and child health through an investigation of health disparities between migrant children and left-behind children in China. The results show that, in comparison with being left behind, migrating with parents significantly improves children’s self-reported health, height-for-age z-score (HAZ) and BMI-for-age z-score (BAZ), and reduces their frequency of sickness. These findings remain robust to a suite of robustness checks. Furthermore, the health effects of internal migration are more prominent for children with a rural hukou compared with urban ones. Although migrant children are more likely to experience teacher discrimination, they have higher levels of parental care, family relationships, and peer relationships relative to their left-behind counterparts, which indicates possible mechanisms behind the association between children’s migration and health. Our findings underline the importance of policy improvement and evidence-based interventions aiming at reducing involuntary parent-child separation and facilitating the development in health of disadvantaged children in developing countries like China.

Section: Discussionsupporting

confidence: 91%

Internal migration and child health: An investigation of health disparities between migrant children and left-behind children in China

Zheng

2022

PLoS ONE

“…Zhang, 2000). Low family SES results in migrant children having poorer physical and mental health (Huang, Song, Tao, & Liang, 2018;J. Zhang, Yan, & Yuan, 2019) and perceiving more discrimination (L. Wang, 2008;D.…”

Section: Introductionmentioning

confidence: 99%

Family Socioeconomic Status, Educational Expectations, and Academic Achievement Among Chinese Rural-to-Urban Migrant Adolescents: The Protective Role of Subjective Socioeconomic Status

Ren

The Journal of Early Adolescence

Jiang

et al. 2020

The adverse impact of a low family socioeconomic status (SES) on rural-to-urban migrant children’s academic achievement has been widely demonstrated. However, knowledge regarding the mechanisms underlying this relationship is limited. The current study aimed to examine the potential mediating effects of educational expectations and the moderating effects of subjective SES on the relationship between family SES and academic achievement among Chinese rural-to-urban migrant adolescents. A sample of 321 rural-to-urban migrant adolescents (48.2% girls; mean age = 11.73 years, SD = 1.16 years) was recruited in China. The results indicated that migrant adolescents’ educational expectations mediated the relationship between family SES and academic achievement. In addition, the link between family SES and educational expectations was weak among adolescents with higher levels of subjective SES. These findings suggest that subjective SES serves as a protective factor buffering the negative effects of a low family SES on migrant adolescents’ academic achievement through educational expectations.

“…Just as previous studies, [39,40] We will search PubMed, Web of Knowledge, OVID, Chongqing VIP, Wanfang, and China National Knowledge Infrastructure database without language/date/type of document restrictions to find any relevant references. Based on previous search strategy, [3] we constructed a combination of the following terms.…”

Section: Methodsmentioning

confidence: 99%

Does cognitive-behavioral therapy reduce internet addiction? Protocol for a systematic review and meta-analysis

2019

Medicine

Self Cite

Background:Cognitive-behavioral therapy has been considered as a means for internet addiction, but its long-term effect and the impact of internet addiction types and culture are still unclear.Objective:This study aims to assess the efficacy of cognitive-behavior therapy for internet addiction symptoms and associated other psychopathological symptoms.Method and analysis:We will search PubMed, Web of Knowledge, Ovid Medline, Chongqing Vip Database, Wanfang, and China National Knowledge Infrastructure database. Random-effects model in comprehensive meta-analysis software will be used to conduct main meta-analysis. Cochran Q and I2 are be used to assess heterogeneity while funnel plots and the Egger test are used to assess publication bias. Risk of bias for each study included is assessed by using the Cochrane risk of bias tool. The primary outcome is internet addiction symptom while secondary outcomes are psychopathological symptoms, time spent online, and dropout.Trials registration number:PROSPERO CRD42019125667