Evidence mapPaperPMID 40893383Full record

ArticlePatient preference and adherence2025

Characteristics and Related Factors of Chinese Herbal Medicine Use in Middle-Aged and Older Patients with Cardiovascular Disease in China: A Cross-Sectional Study.

Long Chen, Yu-Li Huang, Fang Liu, Nan Huang, Ding-Cheng Zeng, Yan-Biao Zhong, Jing-Hai Liao, Mao-Yuan Wang

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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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0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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

8 authors.

Long ChenDepartment of Rehabilitation Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.ORCID 0009-0002-3097-0510
Yu-Li HuangDepartment of Rehabilitation Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.
Fang LiuDepartment of Rehabilitation Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.
Nan HuangDepartment of Rehabilitation Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.
Ding-Cheng ZengThe First Clinical Medical School, Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.
Yan-Biao ZhongDepartment of Rehabilitation Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.
Jing-Hai LiaoDepartment of Rehabilitation Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.
Mao-Yuan WangDepartment of Rehabilitation Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular disease (CVD) poses a significant health burden in middle-aged and older Chinese populations, with Chinese herbal medicine (CHM) often used as a complementary therapy. This study aimed to analyze the characteristics of CHM use and its influencing factors in middle-aged and older Chinese patients with CVD. Methods: This was a cross-sectional study based on data from the 2018 China Health and Aging Longitudinal Study (CHARLS). We surveyed 4511 patients with CVD, aged 45 years or older, who reported using CHM to analyze their demographic characteristics, healthcare utilization, and health status. Results: Approximately 24.05% (1085/4511) of the participants reported managing CVD with CHM. Compared with non-users, CHM users were older (OR=1.21; 95% CI=1.04-1.40), more educated (OR=1.30; 95% CI=1.08-1.57), more likely to reside in a city (OR=1.19; 95% CI=1.01-1.41), and were associated with visiting a Chinese medicine hospital (OR=1.17; 95% CI=1.01-1.37), self-medication (OR=1.48; 95% CI=1.24-1.77), poor health (OR=1.52; 95% CI=1.17-1.98), comorbidities such as kidney disease (OR=1.34; 95% CI=1.02-1.75), asthma (OR=1.67; 95% CI=1.21-2.32), and emotional problems (OR=1.98; 95% CI=1.28-3.07). In an additional interaction analysis, patients with urban residence and mood problems were most likely to use CHM (OR=6.93, 95% CI: 1.77-27.19). Conclusion: Factors contributing to CHM use in middle-aged and older patients with CVD are multifaceted, encompassing demographic characteristics, health service, and health status.

Indexed as

cardiovascular diseaseChinese herbal medicinecross-sectional studymiddle-aged and older population

Identifiers

PMID40893383
PMCPMC12396530

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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.