Evidence map›Paper›PMID 39606075›Full record

ArticleFrontiers in public health2024

Negative life events and depression among Chinese university freshmen: a longitudinal moderated mediation model.

Pei Jiang, Zhihui Zhang, Shuqin Li, Yuan Yan

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

4 authors.

Pei JiangSchool of Educational Science, Hunan Normal University, Changsha, Hunan, China.
Zhihui ZhangDepartment of Mental Health Education and Counseling Center, Hunan Institute of Engineering, Xiangtan, Hunan, China.
Shuqin LiSchool of Educational Science, Hunan Normal University, Changsha, Hunan, China.
Yuan YanClinical Psychology Department, Alliant International University, Emeryville, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Depression is a major mental health concern among university freshmen, with negative life events recognized as a risk factor. However, limited studies have explored the underlying mechanisms between them. This study aims to investigate the longitudinal relationship between negative life events and depression, and to examine both the potential mediating role of perceived social support and the moderating role of self-esteem in this process. Methods: A two-wave longitudinal design with a 6-month interval was employed, involving 785 Chinese university freshmen (55.92% were female). Self-reported measures of negative life events, perceived social support, self-esteem, and depression were collected using validated scales. Results: Results revealed that negative life events significantly predicted depression in freshmen after 6 months, with perceived social support partially mediating this relationship. In addition, self-esteem moderated the effect of negative life events on perceived social support. As self-esteem increased, there was a stronger mediating effect of perceived social support between negative life events and depression. Discussion: This study verified a moderated mediation process of how negative life events impact depression among freshmen. The findings provide valuable insights for developing effective interventions to reduce the depression risk of freshmen.

Indexed as

DepressionLife Change EventsSelf ConceptSocial SupportStudentsAdolescentAdultChinaFemaleHumansLongitudinal StudiesMaleRisk FactorsSelf ReportSurveys and QuestionnairesUniversitiesdepressionfreshmennegative life eventsperceived social supportself-esteem

Identifiers

PMID39606075
PMCPMC11598919

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LicenceCC BY
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Registered trials

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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.