Evidence map›Paper›PMID 40994847›Full record

ArticleFrontiers in psychology2025

Heterogeneity of dormitory interpersonal conflict coping style and its negative emotional characteristics among college students: based on latent profile analysis.

Junxing Pan, Xiaoyun Zhao, Cui Lyu, Lili Xu, Ying Zhu

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Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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2 citing papers in PubMed.

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5 · Who and what money

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5 authors.

Junxing PanDepartment of Student Affairs, Huaibei Normal University, Huaibei, China.
Xiaoyun ZhaoSchool of Education, Huaibei Normal University, Huaibei, China.
Cui LyuDepartment of Student Affairs, Huaibei Normal University, Huaibei, China.
Lili XuSchool of Education, Huaibei Normal University, Huaibei, China.
Ying ZhuDepartment of Student Affairs, Huaibei Normal University, Huaibei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dormitory interpersonal conflict coping style has an important impact on the quality of college students' dormitory interpersonal relationships and emotional experiences. Still, previous studies have ignored the individual differences among college student groups, making it difficult to effectively classify these groups from the perspective of dormitory conflict coping style. This study aims to explore the potential categories of conflict coping styles in college students' dormitories and their demographic characteristics, and to analyze the emotional differences among college students in different types of dormitory conflict coping groups, with the expectation of providing theoretical references for improving interpersonal relationships in college students' dormitories. Methods: A convenience cluster sampling method was used to select 1,408 college students from a university in Anhui Province, China, to conduct an online survey. The Dormitory Interpersonal Relationship Questionnaire, the Dormitory Interpersonal Conflict Coping Style Questionnaire, and the Depression-Anxiety-Stress Scale Short Chinese Version were used for the investigation. First, we used "individual-centered" latent profile analysis to explore the categories of dormitory interpersonal conflict coping style; second, we used multifactorial binary logistic regression to explore the relationship between demographic variables and the potential categorization of dormitory interpersonal conflict coping style; and lastly, we used a difference-in-differences test to explore the emotional characteristics of different dormitory interpersonal conflict coping style groups. Results: The dormitory interpersonal conflict coping style group of Chinese college students was divided into two potential categories: the positive coping group (85.01%, 1,197 students) and the negative coping group (14.99%, 211 students). The results of binary logistic regression analysis showed that gender, grade, and type of specialty were all correlated with dormitory interpersonal conflict coping style in college: male students (OR = 1.86), senior students (OR sophomore = 1.44; OR juniors = 1.70), and non-literature and history majors (OR science and engineering = 1.57; OR arts and sports = 2.34) were more likely to choose negative responses to interpersonal conflicts in the dormitory (all Conclusion: There is significant group heterogeneity in the dormitory interpersonal conflict coping style of Chinese college students. Schools should guide college students to choose appropriate interpersonal conflict resolution strategies to create positive interpersonal relationships in dormitories.

Indexed as

college studentdormitory interpersonal relationshipsinterpersonal conflict coping stylelatent profile analysisnegative emotions

Identifiers

PMID40994847
PMCPMC12454089

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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.