Evidence map›Paper›PMID 42801178›Full record

ArticlePatient preference and adherence2026

The Mediating Role of Patient Activation in the Association Between Illness Perception and Self-Management Behavior Among Patients with Oral Cancer.

Ying Gao, Haiyan Liu, Shan Gao, Zhaoxia Li, Rongrong Ma, Xiao Zhang, Jianhua Liu, Wenyuan Ma

Abstract read
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Article in Patient preference and adherence, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ying Gao *Department of Nursing, Linyi People's Hospital Affiliated to Shandong Second Medical University, Linyi, Shandong, People's Republic of China.
Haiyan LiuDepartment of Nursing, Linyi People's Hospital Affiliated to Shandong Second Medical University, Linyi, Shandong, People's Republic of China.
Shan Gao *Department of Nursing, Linyi People's Hospital Affiliated to Shandong Second Medical University, Linyi, Shandong, People's Republic of China.
Zhaoxia LiDepartment of Nursing, Linyi People's Hospital Affiliated to Shandong Second Medical University, Linyi, Shandong, People's Republic of China.
Rongrong MaDepartment of Oral and Maxillofacial Surgery, Linyi People's Hospital Affiliated to Shandong Second Medical University, Linyi, Shandong, People's Republic of China.
Xiao ZhangDepartment of Spinal Surgery, Linyi People's Hospital Affiliated to Shandong Second Medical University, Linyi, Shandong, People's Republic of China.
Jianhua LiuDepartment of Nursing, Linyi People's Hospital Affiliated to Shandong Second Medical University, Linyi, Shandong, People's Republic of China.
Wenyuan MaDepartment of Nursing, Linyi People's Hospital Affiliated to Shandong Second Medical University, Linyi, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to examine the relationships among illness perception, patient activation, and self-management behavior in oral cancer patients, and to explore the mediating role of patient activation between illness perception and self-management behavior. Methods: A cross-sectional study was conducted among 220 oral cancer patients recruited from two tertiary hospitals in Shandong Province, China, using a convenience sampling method. Data were collected using the Brief Illness Perception Questionnaire (BIPQ), Patient Activation Measure (PAM), and the Cancer Patient Self-Management Scale. Pearson correlation analysis, multiple linear regression, and structural equation modeling (SEM) were performed to analyze the relationships among variables. The mediating effect was tested using the bootstrap method. Results: A total of 220 valid questionnaires were collected. The mean scores for illness perception, patient activation, and self-management behavior were 41.69±12.23, 59.17±12.81, and 133.71±35.95, respectively. Several demographic and clinical characteristics were associated with self-management behavior in the regression analysis. Negative illness perceptions were significantly associated with lower self-management behavior ( Conclusion: Patient activation plays a significant mediating role in the relationship between negative illness perceptions and self-management behavior in oral cancer patients, accounting for 56.58% of the total effect. This finding suggests that enhancing patient activation may partially reduce the adverse impact of negative illness perceptions on self-management behavior and represents an important target for clinical interventions aimed at improving self-management among oral cancer patients.

Indexed as

illness perceptionmediation analysisoral cancerpatient activationself-management behavior

Identifiers

PMID42801178
PMCPMC13615745

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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.