Evidence map›Paper›PMID 42039045›Full record

ArticleFrontiers in psychology2026

The association between perceived social support and internet addiction among Chinese civil aviation male flight students: chain mediating effects of positive coping strategies and basic psychological need satisfaction.

Enliang Hu, Haozhe Wang, Jiayi Yao, Wenjia Chen, Mingyu Liao, Shiguan Jia, Qinghua Zhang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Enliang Hu *Civil Aviation Flight Academy of China, Deyang, China.
Haozhe Wang *School of Physical Education, China University of Mining and Technology, Xuzhou, China.
Jiayi YaoSchool of Physical Education, China University of Mining and Technology, Xuzhou, China.
Wenjia ChenSchool of Physical Education, China University of Mining and Technology, Xuzhou, China.
Mingyu LiaoCivil Aviation Flight Academy of China, Deyang, China.
Shiguan JiaSchool of Physical Education, China University of Mining and Technology, Xuzhou, China.
Qinghua ZhangSchool of Physical Education, China University of Mining and Technology, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to explore the mechanisms underlying the relationship between perceived social support and internet addiction among Chinese civil aviation flight students among Chinese civil aviation flight students, with a focus on examining the chain mediating role of positive coping strategies and basic psychological need satisfaction in this relationship. Methods: Employing a cross-sectional design and cluster sampling method, 1,235 male flight students from the Civil Aviation Flight University of China (mean age 18.80 ± 0.78 years) were surveyed using questionnaires. Data were collected using the Perceived Social Support Scale (PSSS), Chinese Internet Addiction Scale-Revised (CIAS-R), Simplified Coping Style Questionnaire (SCSQ), and Basic Need Satisfaction in General Scale (BNSG-S). Chain mediation analysis was conducted using SPSS 26.0 and PROCESS macro Model 6. Results: Perceived social support was significantly and negatively associated with internet addiction among flight students ( Conclusion: Perceived social support is associated with internet addiction among flight students through both independent and chain mediation pathways of positive coping strategies and basic psychological need satisfaction. These findings provide theoretical foundations and practical guidance for developing internet addiction prevention and intervention systems for flight students.

Indexed as

basic psychological need satisfactionflight studentsinternet addictionperceived social supportpositive coping strategies

Identifiers

PMID42039045
PMCPMC13106278

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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.