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Depression among Chinese Left-Behind Children: A systematic review and meta-analysis
- Source :
- Child: Care, Health and Development. 45:189-197
- Publication Year :
- 2019
- Publisher :
- Wiley, 2019.
-
Abstract
- Background In China, there are approximately 70 million children, nearly 25% of the child population, who are left behind in the care of other family members when their parents migrate to urban areas, for increased economic opportunities. This paper presents a systematic review and a meta-analysis of studies that have examined the phenomenon of depression among these left-behind children (LBC). Methods Six hundred three papers published between 2000 and 2017 were retrieved from five databases (China National Knowledge Infrastructure, Wanfang, Weipu, PubMed, and Web of Science). Results Twenty-one studies (18 in Chinese and 3 in English) met the criteria for inclusion in this meta-analysis. The pooled estimate of depression among LBC was 26.4%. A significant heterogeneity has been found in reported findings, and this heterogeneity was associated with three types of study characteristics, including using an unclear definition of LBC and using invalidated depression instruments, and the geographic location. Conclusions The risk of mental health problems among this large number of LBC suggests the need to quantify the extent and distribution of their mental health state. Implications for methodological improvements for future research have been discussed.
- Subjects :
- Parents
Transients and Migrants
China
Depression
business.industry
Public Health, Environmental and Occupational Health
Distribution (economics)
Left behind
Child, Abandoned
Mental health
Meta-analysis
Pediatrics, Perinatology and Child Health
Developmental and Educational Psychology
Humans
Family
Child
Psychology
business
Location
Inclusion (education)
Depression (differential diagnoses)
Demography
Subjects
Details
- ISSN :
- 03051862
- Volume :
- 45
- Database :
- OpenAIRE
- Journal :
- Child: Care, Health and Development
- Accession number :
- edsair.doi.dedup.....897191981beca77373bd502e238cceee
- Full Text :
- https://doi.org/10.1111/cch.12642