Evidence map›Paper›PMID 39077206›Full record

ArticleFrontiers in psychology2024

Strengthening the meaning in life among college students: the role of self-acceptance and social support - evidence from a network analysis.

Caiyun Wu, Xueting Liu, Jinxin Liu, Yanqiang Tao, Yuting Li

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Caiyun WuCenter for Psychological Education and Counseling, Southwest University of Science and Technology, Mianyang, China.
Xueting LiuDepartment of Student Affairs Management, Mudanjiang Normal University, Mudanjiang, China.
Jinxin LiuSchool of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China.
Yanqiang TaoFaculty of Psychology, Beijing Normal University, Beijing, China.
Yuting LiDepartment of Chinese Medicine Nursing, School of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meaning in life, which has two possible sources: self-acceptance and social support, is essential to the mental health and development of college students. The current study aims to further clarify the symptom-level relations between meaning in life, self-acceptance, and social support, finding possible ways to improve meaning in the life of college students. Thousand three hundred and forty-eight Chinese college students completed the online questionnaire, including Self-acceptance Questionnaire, Social Support Rating Scale, and Meaning in Life Questionnaire and the data from 1,263 participants was used. Cross-sectional network analysis was used to examine the relation between self-acceptance and social support. We also explored the relation between dimensions of self-acceptance and social support and meaning in life using the flow network. The results show symptom "SlA" (self-acceptance) is the bridge symptom linking self-acceptance and social support. In the flow diagrams, "SlA" is directly and positively associated with the presence of meaning. Objective Support shares the strongest positive association with the search for meaning. The symptom "SIA" may be an important targeting symptom when trying to improve the meaning in life of college students. Additionally, social support is essential for college students to develop meaning in life.

Indexed as

college studentsmeaning in lifenetwork analysisself-acceptancesocial support

Identifiers

PMID39077206
PMCPMC11284095

What OpenQuestion holds

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LicenceCC BY
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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.