Evidence map›Paper›PMID 36078664›Full record

ArticleInternational journal of environmental research and public health2022

The Relationship of Technoference in Conjugal Interactions and Child Smartphone Dependence: The Chain Mediation between Marital Conflict and Coparenting.

Tingting Shao, Chengwei Zhu, Xi Quan, Haitao Wang, Cai Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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
–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. Article
  2. Phubbing Behaviour: A Bibliometric Analysis of Scientific Production.Behavioral sciences (Basel, Switzerland) · 2025
    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

5 authors.

Tingting ShaoInstitute of Early Childhood Education, Faculty of Education, Beijing Normal University, Beijing 100875, China.ORCID 0000-0001-8907-9795
Chengwei ZhuCollaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing 100875, China.
Xi QuanCollaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing 100875, China.
Haitao WangDepartment of Education, Ocean University of China, Qingdao 266100, China.
Cai ZhangCollaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing 100875, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing use of smartphones in our lives, technoference has become a new threat to family relationships and child development. The present study explored the impact of technoference in conjugal interactions on child smartphone dependence and its underlying mechanism. The participants were 6923 fourth grade children (55.0% boys; the average age was 10.60 years) in 545 primary schools and their parents (35.3% fathers). We found that technoference in conjugal interactions was significantly associated with child smartphone dependence. Technoference in conjugal interactions indirectly affected child smartphone dependence through marital conflict or coparenting and a chain mediation between marital conflict and coparenting. These findings support the spillover theory and provide relevant empirical evidence and advance our understanding of parental functioning on child smartphone dependence within the Chinese culture.

Indexed as

Family ConflictParentingAsian PeopleChildFemaleHumansMaleParent-Child RelationsSmartphonechain mediationchild smartphone dependencecoparentingmarital conflicttechnoference in conjugal interactions

Identifiers

PMID36078664
PMCPMC9518192

What OpenQuestion holds

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LicenceCC BY
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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.