Evidence map›Paper›PMID 40790318›Full record

ArticleScientific reports2025

Social support and anxiety, a moderated mediating model.

Liyuan Yang, Ning Wang, Dan Li, Xuesen Zhao, Mofei Wen, Yichi Zhang, Yang Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

7 authors.

Liyuan Yang *College of Physical Education of CDU, Chengdu University, Chengdu, China.
Ning Wang *College of Physical Education and Health Science, Guangxi MINZU University, NanNing, China.
Dan LiCollege of Physical Education and Health Science, Guangxi MINZU University, NanNing, China.
Xuesen ZhaoCollege of Physical Education and Health Science, Guangxi MINZU University, NanNing, China.
Mofei WenCollege of Physical Education of CDU, Chengdu University, Chengdu, China.
Yichi ZhangCollege of Physical Education and Health Science, Guangxi MINZU University, NanNing, China.
Yang LiuSchool of Sports Science, Jishou University, Jishou, China. ldyedu@foxmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to explore the relationship between social support and anxiety among college students, as well as the mediating role of resilience and the moderating effect of physical exercise. A questionnaire survey was conducted to measure levels of social support, resilience, physical exercise, and anxiety among 1097 college students from two universities in Hunan Province. A total of 997 valid questionnaires were collected, with 562 from male students and 435 from female students. Statistical analysis revealed that social support significantly negatively predicts anxiety, with family support being the most prominent. Additionally, the impact of social support on anxiety is moderated by physical exercise. Resilience plays a significant mediating role between social support and anxiety. Enhancing resilience through physical exercise can help prevent anxiety-related behaviors among college students and improve their overall mental health.

Indexed as

AnxietySocial SupportStudentsAdolescentAdultChinaExerciseFemaleHumansMaleResilience, PsychologicalSurveys and QuestionnairesUniversitiesYoung AdultAnxietyCollege studentsPhysical exerciseResilienceSocial support

Identifiers

PMID40790318
PMCPMC12339740

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.