Evidence map›Paper›PMID 41280285›Full record

ArticlePatient preference and adherence2025

Illness Perception, Health Literacy, and Medication Adherence in Hypertensive Patients and Their Spouses: An Actor-Partner Interdependence Mediation Model Approach.

Rui Han, Chan Wu, Guang-Su Qu, Ying-Chun Chen, Xiu-Wen Zeng, Qiu-Hua Xue

Abstract read
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Article in Patient preference and adherence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rui Han *Department of Cardiovascular Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, People's Republic of China.ORCID 0009-0008-8147-2363
Chan Wu *Department of Cardiovascular Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, People's Republic of China.
Guang-Su QuDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, People's Republic of China.ORCID 0009-0000-0313-9276
Ying-Chun ChenDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, People's Republic of China.
Xiu-Wen ZengDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, People's Republic of China.
Qiu-Hua XueDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to investigate the mediating role of health literacy-both in hypertensive patients and their spouses -on the relationship between illness perception and medication adherence, based on the Actor-Partner Interdependence Mediation Model (APIMeM). Methods: Hypertensive patients and their spouses from a selected region were recruited through convenience sampling between August 2024 and March 2025. Data were collected using the General Information Questionnaire, Brief Illness Perception Questionnaire, Health Literacy Scale for Chronic Disease Patients, Morisky Medication Adherence Scale, and the Caregiver Self-care Contribution Scale. Results: (1) Regarding the actor effects, patients' health literacy partially mediated the relationship between their illness perception and medication adherence (effect size: 0.028, 95% CI: 0.007~0.067, P < 0.05). Similarly, spouses' health literacy partially mediated the effect of their own illness perception on their medication adherence (effect size: 0.240, 95% CI: 0.165~0.324, P < 0.05). (2) For the partner effects, patients' health literacy partially mediated the relationship between their spouse's illness perception and the patient's medication adherence (effect size: 0.042, 95% CI: 0.018~0.084, P < 0.05). Meanwhile, the spouse's health literacy fully mediated the effect of the patient's illness perception on the spouse's medication adherence (effect size: 0.139, 95% CI: 0.020~0.302, P < 0.05). Conclusion: A bidirectional actor-partner effect exists between illness perception and medication adherence among hypertensive patients and their spouses. Health literacy plays a significant mediating role in these relationships. These findings suggest that clinical interventions should target both patients and their spouses simultaneously, enhancing health literacy, strengthening disease knowledge, improving illness perception, and thereby promoting better medication adherence.

Indexed as

actor-partner interdependence modelhealth literacyhigh blood pressureillness perceptionmediation modelmedication adherence

Identifiers

PMID41280285
PMCPMC12631033

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.