Current Status and Factors Influencing Mental Health Literacy in Patients With Coronary Heart Disease: A Cross‐Sectional Study

This study aimed to investigate the current status of mental health literacy and related influencing factors in patients with coronary heart disease. Four hundred and thirty-five patients with coronary heart disease were recruited in this survey. Data collection was conducted using the General Information Questionnaire, the Chinese version of the Mental Health Literacy Scale, Coronary Artery Disease Self-Management Scale, Social Support Rating Scale, and Coronary Heart Disease Self-Efficacy Scale. Descriptive methods, independent samples t-test or one-way ANOVA, Pearson's correlation analysis, and multiple linear regression were used for data analysis. The results showed that the mean total mental health literacy score of patients with coronary heart disease was 96.42 ± 8.40; gender, age, education level, monthly per capita family income, first diagnosed with coronary heart disease, cardiac function classification, self-management ability, social support, and self-efficacy were the factors influencing the level of mental health literacy in patients with coronary heart disease (all p < 0.05). The study suggests that mental health literacy can improve patients' self-management ability and self-efficacy, and healthcare professionals should emphasize the strengthening of this aspect of health education in order to better improve patient's prognosis.

Authors

Institutions

Publication Details

Journal
Nursing and Health Sciences
Published
2024-09-30
DOI
https://doi.org/10.1111/nhs.13165
Citations
2
Primary Topic
Mental Health Treatment and Access
Type
article
Field-Weighted Citation Impact
1.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Current Status and Factors Influencing Mental Health Literacy in Patients With Coronary Heart Disease: A Cross‐Sectional Study

Ke Shi, Chunli Chen, Xiaona Pan, Jun Feng et al.
2 citations
Nursing and Health Sciences
Mental Health Treatment and Access
1.29
article

Current Status and Factors Influencing Mental Health Literacy in Patients With Coronary Heart Disease: A Cross‐Sectional Study

Ke Shi, Chunli Chen, Xiaona Pan, Jun Feng, Yuting Zhang, Ting Zhang, Cuiling Sun
article en
2 citations

Abstract

This study aimed to investigate the current status of mental health literacy and related influencing factors in patients with coronary heart disease. Four hundred and thirty-five patients with coronary heart disease were recruited in this survey. Data collection was conducted using the General Information Questionnaire, the Chinese version of the Mental Health Literacy Scale, Coronary Artery Disease Self-Management Scale, Social Support Rating Scale, and Coronary Heart Disease Self-Efficacy Scale. Descriptive methods, independent samples t-test or one-way ANOVA, Pearson's correlation analysis, and multiple linear regression were used for data analysis. The results showed that the mean total mental health literacy score of patients with coronary heart disease was 96.42 ± 8.40; gender, age, education level, monthly per capita family income, first diagnosed with coronary heart disease, cardiac function classification, self-management ability, social support, and self-efficacy were the factors influencing the level of mental health literacy in patients with coronary heart disease (all p < 0.05). The study suggests that mental health literacy can improve patients' self-management ability and self-efficacy, and healthcare professionals should emphasize the strengthening of this aspect of health education in order to better improve patient's prognosis.

Nursing and Health SciencesVol. 26(4)
Wannan Medical College (CN), Bengbu Medical College (CN), Anhui University of Traditional Chinese Medicine (CN), Anhui Provincial Children's Hospital (CN), Third People's Hospital of Hefei (CN)
Quality Education
Openalex Percentile: Top 18%
Mental Health Treatment and Access
1.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.