Evidence map›Paper›PMID 42638897›Full record

ArticleFrontiers in public health2026

Dyadic coping in patients with autoimmune diseases and spouses: a latent profile analysis and nursing implications.

Zheyuan Xia, Xiao Wang, Qiao Hu, Xiang Wang, Yukuan Miao

Abstract read
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Article in Frontiers in public health, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zheyuan XiaThe School of Nursing, Anhui University of Chinese Medicine, Hefei, China.
Xiao WangThe School of Nursing, Anhui University of Chinese Medicine, Hefei, China.
Qiao HuThe School of Nursing, Anhui University of Chinese Medicine, Hefei, China.
Xiang WangThe School of Nursing, Anhui University of Chinese Medicine, Hefei, China.
Yukuan MiaoEmergency Intensive Care Unit (EICU), The First Affiliated Hospital of Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify the latent profiles of dyadic coping in patients with autoimmune diseases and their spouses, and to analyze the influencing factors associated with different profiles, thereby providing a theoretical basis for developing couple-based collaborative intervention programs. Methods: A cross-sectional survey design was used to conveniently recruit 262 dyads of patients with autoimmune diseases and their spouses. Demographic and disease-related data were collected using a self-designed general information questionnaire. Single three-level self-reported items (mild/moderate/severe) within this questionnaire were used to measure patients'disease-related economic burden and spouses'caregiving burden. Patients and their spouses completed the Dyadic Coping Inventory (DCI) and the Illness Perception Questionnaire. The Marital Adjustment Scale was additionally administered to identify distinct dyadic coping latent profiles. Mplus version 8.7 was employed to conduct latent profile analysis to identify different profiles of dyadic coping. SPSS version 27.0 was used for univariate analysis and multivariate logistic regression to explore factors associated with class membership. Results: A total of 282 questionnaires were distributed, and 262 valid dyads were included in the analysis, yielding an effective response rate of 92.91%. Four latent profiles of dyadic coping in patients and their spouses were identified via latent profile analysis: High Dyadic Coping Profile (Class 1, Conclusion: Four heterogeneous subtypes of dyadic coping were identified among couples affected by autoimmune diseases, with 40.1% of couples exhibiting asymmetric imbalanced coping patterns. Illness perception emerged as the strongest predictor of imbalance, whereas marital adjustment served as a protective factor. The influence of economic and caregiving burden on dyadic coping exhibited a threshold effect: mild burden was protective, whereas moderate-to-severe burden may be associated with persistent coping impairment that is difficult to reverse. Clinical practice should implement stratified, targeted couple-based interventions according to the characteristics of each subtype.

Indexed as

Adaptation, PsychologicalAutoimmune DiseasesSpousesAdultAgedCoping SkillsCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnairesautoimmune Diseasescouplesdyadic copinginfluencing factorslatent profile analysis

Identifiers

PMID42638897
PMCPMC13500279

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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.