Evidence map›Paper›PMID 39594360›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

How Emotional Intelligence Influences Students' Life Satisfaction During University Lockdown: The Chain Mediating Effect of Interpersonal Competence and Anxiety.

Yuyang Zhao, Biao Sang, Cody Ding

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 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.

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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

3 authors.

Yuyang ZhaoDepartment of Social Work, School of Sociology and Political Science, Shanghai University, Shanghai 200444, China.ORCID 0000-0001-7678-4516
Biao SangLab for Educational Big Data and Policymaking, Shanghai Academy of Educational Sciences, Shanghai 200032, China.
Cody DingDepartment of Education Science and Professional Programs, University of Missouri-Saint Louis, St. Louis, MO 63121, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Students' life satisfaction is an essential reflection of their well-being, particularly during challenging times. The COVID-19 pandemic, a global catastrophe, has had an immeasurably negative impact on individuals' daily lives. It has also provided an opportunity to investigate the factors contributing to students' life satisfaction during such difficult times. Considering the unique characteristics of these university students, the current study examines the impact of emotional intelligence (EI) on students' life satisfaction, as well as the direct and sequential mediating effects of interpersonal competence and anxiety on this relationship. A total of 297 university students in Shanghai, China, participated in the study. All participants were recruited online during the early phase of the COVID-19 pandemic in 2022. Four well-established questionnaires were utilized to assess students' trait emotional intelligence, interpersonal competence, anxiety, and life satisfaction. The findings indicate that interpersonal competence significantly mediates the relationship between EI and life satisfaction. Although anxiety does not significantly mediate this relationship, it plays a notable role in the sequential mediating effect involving interpersonal competence and anxiety. The study reveals that nurturing students' EI can significantly enhance their interpersonal competence, which can reduce anxiety and ultimately increase their self-reported life satisfaction.

Indexed as

adolescentanxietyCOVID-19 pandemicinterpersonal competencelife satisfactiontrait emotional intelligence

Identifiers

PMID39594360
PMCPMC11591228

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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.