ORIGINAL RESEARCH article
Front. Neurol.
Sec. Stroke
This article is part of the Research TopicQuality of Stroke Care: What Could Be Improved, and How? - Volume IIView all 23 articles
Health Information-seeking Behavior in Stroke Patients and Its Relationship with Behavioral Decision-Making: A Latent Profile Analysis
Provisionally accepted
- 1School of Nursing, Lanzhou University, Lanzhou, China
- 2Lanzhou University School of Nursing, Lanzhou, China
- 3Lanzhou University Second Hospital, Lanzhou, China
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Objective: This study explored latent profiles of Health Information-Seeking Behavior (HISB) among stroke patients and analyzed its influencing factors. Methods: In this cross-sectional study, 311 stroke participants from two tertiary care hospitals in Gansu Province, China, were recruited between January and May 2025 using convenience sampling. Data were collected using a general information questionnaire, the Health Information-Seeking Behavior Scale, and the Health Behavior Decision-Making Assessment Scale for Stroke Patients. Latent profile analysis (LPA) was employed to identify distinct HISB profiles. Results: Three latent profiles were identified: the high-demand low-barrier positive group, the moderate-balanced group, and the low-demand high-barrier negative group. Key predictors of profile membership included age, education level, monthly personal income, and the presence of comorbid chronic diseases. Conclusion: The identification of three distinct HISB trait types provides an evidence-based foundation for developing personalized health education and tailored decision support interventions. Healthcare professionals can leverage this classification system to customize communication strategies for patients with different traits, deliver tiered information support, and ultimately empower patients to achieve better health behaviors and health outcomes.
Keywords: Stroke, health information-seeking behavior, Behavioral Decision-Making, Influencing factors, latent profile analysis
Received: 10 Aug 2025; Accepted: 05 Nov 2025.
Copyright: © 2025 Zhao, Yang, Feng, Lan, Zhong, Li, Wang and Dou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xinman Dou, douxm@lzu.edu.cn
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