Evidence map›Paper›PMID 39061084›Full record

ArticleBMC psychology2024

The impact of lockdown on child adjustment: a propensity score matched analysis.

Wanjuan Weng, Mowei Liu, Shumin Wang, Xiaoyun Li, Jinghui Zhang, Yuke Fu, Chuanmei Dong, Yan Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychology, 2024. 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
–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

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.

  1. Review
  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

8 authors.

Wanjuan Weng *Shanghai Institute of Early Childhood Education, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China.
Mowei Liu *Department of Psychology, Trent University, Peterborough, Canada.
Shumin WangShanghai Institute of Early Childhood Education, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China.
Xiaoyun LiShanghai Institute of Early Childhood Education, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China.
Jinghui ZhangShanghai Institute of Early Childhood Education, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China.
Yuke FuDepartment of Psychology, Trent University, Peterborough, Canada.
Chuanmei DongSchool of Education, Macquarie University, Sydney, Australia.
Yan LiShanghai Institute of Early Childhood Education, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China. liyan@shnu.edu.cn.

Funding

STI 2030 Major Projects (No. 2022ZD0209000)
6 · The paper itself

Abstract

The COVID-19 pandemic has had an inestimable impact worldwide, challenging the daily lives and interactions of children and their families. In 2022, Shanghai implemented a three-month lockdown in response to an acceleration of positive cases during the pandemic period. This restrictive policy provided insight into the impact of the lockdown on children's social adjustment and the role of parent-child conflict during this process. Mothers of preschool-aged children participated in this study and completed the Chinese version of Child-Parent Relationship Scale (CPRS) and the Strengths and Difficulties Questionnaire (SDQ). Using Propensity Score Matching (PSM) method, two matched groups were formed: pre-lockdown group and post-lockdown group, with a total of 574 preschoolers (N = 297 in each group; M

Indexed as

COVID-19Propensity ScoreChild, PreschoolChinaFemaleHumansMaleParent-Child RelationsQuarantineSARS-CoV-2Social AdjustmentSurveys and QuestionnairesCOVID-19LockdownParent–child conflictPreschoolerSocial adjustment

Identifiers

PMID39061084
PMCPMC11282655

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.