Evidence map›Paper›PMID 34166053›Full record

ArticleThe American journal of orthopsychiatry2021

Chinese only children and loneliness: Stereotypes and realities.

Shengjie Lin, Toni Falbo, Wen Qu, Yidan Wang, Xiaotian Feng

Open access · hybridAbstract read
In one paragraph

Article in The American journal of orthopsychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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 at 3 institutions in 2 countries.

Shengjie LinDepartment of Educational Psychology, University of Texas at Austin.ORCID 0000-0002-1352-321X
Toni FalboDepartment of Educational Psychology, University of Texas at Austin.ORCID 0000-0001-7051-5569
Wen QuDepartment of Psychology, University of Notre Dame.ORCID 0000-0002-6194-3913
Yidan WangDepartment of Educational Psychology, University of Texas at Austin.
Xiaotian FengDepartment of Sociology and Social Work, Guangxi Normal University.
The University of Texas at Austin · USGuangxi Normal University · CNUniversity of Notre Dame · US

Funding

Population Research CenterR24HD042849 · NICHD · UNIVERSITY OF TEXAS AUSTIN · PI HAYWARD, MARK D. · 2002 to 2016
$8.4M
Training Program in Population StudiesT32HD007081 · NICHD · UNIVERSITY OF TEXAS AUSTIN · PI Aprile Dawn Benner, Christy L. Erving · 1985 to 2026
$6.8M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNICHD NIH HHS P2C HD042849NICHD NIH HHS R24 HD042849NICHD NIH HHS T32 HD007081
6 · The paper itself

Abstract

Popular media has aroused concern that Chinese only children are growing up lonely owing to their lack of sibling interaction Mu et al. (2007). However, little research has been directed at determining whether Chinese adults believe in the only-child-as-lonely stereotype and whether Chinese only children actually suffer more loneliness than their peers with siblings. Three studies were conducted to examine belief in the only-child-as-lonely stereotype and determine whether only children report greater loneliness than children with siblings. With the first study, the prevalence of the only-child-as-lonely stereotype among young adults from six cities (Study 1,

Indexed as

LonelinessOnly ChildAdolescentChinaHumansPeer GroupSurveys and QuestionnairesYoung Adult

Identifiers

PMID34166053
PMCPMC8454259
OpenAlexW3173454948

What OpenQuestion holds

Textmetadata
LicenceTDM
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.