Evidence map›Paper›PMID 38093295›Full record

ArticleBMC public health2023

How loneliness linked to anxiety and depression: a network analysis based on Chinese university students.

Mengyuan Yang, Wenwen Wei, Lei Ren, Zhaojun Pu, Yuanbei Zhang, Yu Li, Xinhong Li, Shengjun Wu

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. A Survey to Assess Loneliness and Predictive Factors Among Students at a US Medical School.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Mengyuan Yang *Department of Military Medical Psychology, Air Force Medical University, 169 West Changle Road, Xi'an, 710032, Shaanxi, China.
Wenwen Wei *Department of Military Medical Psychology, Air Force Medical University, 169 West Changle Road, Xi'an, 710032, Shaanxi, China.
Lei RenMilitary Psychology Section, Logistics University of PAP, Tianjin, 300309, China.
Zhaojun PuDepartment of Military Medical Psychology, Air Force Medical University, 169 West Changle Road, Xi'an, 710032, Shaanxi, China.
Yuanbei ZhangDepartment of Military Medical Psychology, Air Force Medical University, 169 West Changle Road, Xi'an, 710032, Shaanxi, China.
Yu LiAcademic Affairs Office, Air Force Medical University, 169 West Changle Road, Xi'an, 710032, Shaanxi, China.
Xinhong LiDepartment of General Medicine, Tangdu Hospital, Xi'an, 712046, Shaanxi, China. lxhfmmu@yahoo.com.cn.
Shengjun WuDepartment of Military Medical Psychology, Air Force Medical University, 169 West Changle Road, Xi'an, 710032, Shaanxi, China. wushj@fmmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is conclusive evidence of a multifaceted and bidirectional relationship between loneliness and depression and anxiety. Nonetheless, more extensive research is needed to examine their relationships at a more granular level. This study employed a network analysis approach to identify the pathological mechanisms underpinning those relationships and to identify important bridge nodes as potential targets for intervention.

methods941 University students were included in this study. The ULS-6 (the short-form UCLA Loneliness Scale) was used to assess loneliness, the PHQ-9 (Patient Health questionnaire-9) and GAD-7 (Generalized anxiety disorder 7-item) scales were used to assess the symptoms of depression and anxiety. We constructed two network structures of loneliness-anxiety and loneliness-depression and computed bridge expected influence for each symptom. In addition, we showed a flow network of "Suicide" containing symptoms of depression and loneliness.

resultsAll edges were positive in both networks constructed and the strongest edges were present within disorder communities. The overall connection between loneliness and depression was stronger compared to anxiety. The results demonstrated that the loneliness item "People are around me but not with me" was identified as bridge symptom in both networks. Furthermore, "Suicide" was directly connected to five symptoms of depression and four items of loneliness, with the strongest connections being between it and "Feeling of worthlessness" and "Psychomotor agitation/retardation".

conclusionsOur findings provide a more nuanced explanation of the link between loneliness and depression and anxiety. The results identified the bridge symptom "People are around me but not with me", which had the strongest effect on enhancing symptoms of depression and anxiety. Clinical improvements based on the findings of this study and the impact of the intervention are discussed.

Indexed as

DepressionLonelinessAnxietyAnxiety DisordersHumansStudentsUniversitiesAnxietyCross-sectional studyDepressionLonelinessNetwork analysisUniversity students

Identifiers

PMID38093295
PMCPMC10720215

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.