ArticlePatient preference and adherence2026
Latent Profiles and Associated Factors of Health Problem-Solving Ability in Patients with Coronary Heart Disease: A Cross-Sectional Study.
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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Abstract
Purpose: To explore the latent profile characteristics of health problem-solving ability in coronary heart disease (CHD) patients and analyze their demographic and clinical determinants, providing empirical evidence for tailored transitional care. Patients and Methods: A cross-sectional study was conducted among 381 hospitalized CHD patients recruited via convenience sampling from the cardiovascular department of a tertiary hospital in Ganzhou, Jiangxi Province, China, between November 2025 and March 2026. Data were collected using a sociodemographic questionnaire, Health Problem-Solving Scale (HPSS), Cardiac Self-Efficacy Scale (CSES), Coronary Artery Disease Education Questionnaire Short Version (CADE-Q SV), and Perceived Social Support Scale (PSSS). Subgroups were identified via LPA using Mplus 8.3. Multinomial logistic regression explored associated factors using SPSS 27.0. Results: The mean HPSS score was 13.65 ± 4.84. LPA identified three distinct profiles: Rational-Active Coping (26.8%), Ambivalent-Passive Adaptation (52.2%), and Negative-Impulsive Avoidance (21.0%). Compared to the Rational-Active Coping profile, higher perceived social support (OR=0.897) and self-efficacy (OR=0.825) were independent protective factors against the Ambivalent-Passive Adaptation profile (both Conclusion: CHD patients exhibit significant heterogeneity in health problem-solving ability. Profiling these patients provides a practical framework for personalized clinical management. Healthcare providers could target the "Negative-Impulsive" and "Ambivalent-Passive" groups. Enhancing disease knowledge, social support, and self-efficacy can promote active problem-solving, thereby optimizing self-management and long-term clinical outcomes.
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