Evidence map›Paper›PMID 32485934›Full record

ArticleInternational journal of environmental research and public health2020

The Interrelationships between Parental Migration, Home Environment, and Early Child Development in Rural China: A Cross-Sectional Study.

Jingdong Zhong, Lena Kuhn, Tianyi Wang, Chengfang Liu, Renfu Luo

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jingdong ZhongSchool of Economics, Peking University, Beijing 100871, China.ORCID 0000-0001-5468-3394
Lena KuhnLeibniz Institute of Agricultural Development in Transition Economics, 06120 Halle, Germany.
Tianyi WangChina Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China.
Chengfang LiuChina Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China.
Renfu LuoChina Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing body of literature is providing evidence of a negative association between parental migration and child development. Meanwhile, the chain of relationships between parental migration, home environment, and early child development has not yet been well documented in China. This paper investigates the interrelationships between parental migration, home environment, and early child development in an undeveloped area of western rural China. In total, 444 households were included in the study. Bayley Scales of Infant Development version III (BSID-III), Home Observation Measurement of the Environment (HOME), and a socioeconomic questionnaire, were used to measure children's development outcomes, home environment, and socioeconomic characteristics in sample households. A mediation effect model was used to estimate the interrelationships between parental migration, home environment, and child development. The results demonstrate that home environment works as a significant mediator, through which parental migration is associated with a 0.07 standard deviation (SD), 0.13 SD, 0.12 SD, and 0.10 SD decline in the child's cognitive, language, motor, and social-emotional scores, respectively. For future studies, the key findings suggest that interventions aimed at improving the home environments of left-behind children might be necessary in rural China.

Indexed as

Child DevelopmentEmigrants and ImmigrantsRural PopulationChildChild, PreschoolChinaCross-Sectional StudiesFamilyHumansInfantSurveys and Questionnairesearly child developmenthome environmentparental migration

Identifiers

PMID32485934
PMCPMC7312289

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.