Evidence map›Paper›PMID 35702331›Full record

ArticleChild indicators research2022

A Prospective Study on Resilience Among Children with Different Migrant and Left-behind Trajectories.

Xiaochen He, Ruochen Zhang, Bin Zhu

Open access · bronzeAbstract read
In one paragraph

Article in Child indicators research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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

3 authors at 2 institutions in 1 country.

Xiaochen HeSchool of Public Policy and Administration, Xi'an Jiaotong University, 710049 Xi'an, Shaanxi China.
Ruochen ZhangSchool of Public Policy and Administration, Xi'an Jiaotong University, 710049 Xi'an, Shaanxi China.ORCID 0000-0002-4173-0937
Bin ZhuSchool of Public Health and Emergency Management, Southern University of Science and Technology, 518055 Shenzhen, Guangdong China.
Xi'an Jiaotong University · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parental migration has been an important predictor of children's psychological resilience. The present study discusses the effect of parental migration on children's resilience in rural western China from a dynamic viewpoint. Using sequence analysis, this study investigates children's entire migration trajectory over the course of childhood (ages 1-12) and identifies the typical patterns of the dynamic family structure associated with parental migration: continuously nonmigrant (N = 4,238), continuously migrant (N = 923), continuously left behind by one parent (N = 872), continuously left behind by both parents (N = 796) and frequent transition between migrant or left-behind statuses (N = 1,624). The results show that the trajectories of left-behind status and transition have a significant negative impact on children's resilience, which demonstrates that both the effects of parent-child separation and family instability compromise children's psychological functioning. Family resources can buffer these negative effects, but they work asymmetrically across different groups of children. Family economic resources serve as a significant protective factor among children continuously left behind by both parents, while family social resources are more protective for children in unstable families. Supplementary Information: The online version contains supplementary material available at 10.1007/s12187-022-09945-1.

Indexed as

InstabilityLeft-behind childrenParental MigrationResilience

Identifiers

PMID35702331
PMCPMC9185725
OpenAlexW4281745801

What OpenQuestion holds

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Registered trials

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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.