Evidence map›Paper›PMID 38610158›Full record

ArticleHealthcare (Basel, Switzerland)2024

Recognition of Early Cardiovascular Disease Symptoms in Hypertensive and Dyslipidemic Individuals of Icheon, Korea: Insights into Educational Levels and Health Literacy.

Jeehye Lee, Dong-Hee Ryu

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Jeehye LeeDepartment of Preventive Medicine, College of Medicine, Konkuk University, Chungju 27478, Republic of Korea.
Dong-Hee RyuDepartment of Preventive Medicine, Daegu Catholic University School of Medicine, Daegu 42472, Republic of Korea.ORCID 0000-0002-2860-8849
Daegu Catholic University · KRKonkuk University · KR

Funding

Gyeonggi Provincial Medical Center Icheon Hospital 202301020001
6 · The paper itself

Abstract

The study aimed to explore the relationship between the presence of hypertension or dyslipidemia and the recognition of early symptoms of cardiovascular diseases (CVD), particularly acute myocardial infarction (AMI) and stroke. It is crucial for individuals with hypertension or dyslipidemia to recognize early symptoms of AMI and stroke, as timely and appropriate intervention can lead to favorable health outcomes. The study enrolled 104 participants aged 19 and above who are current residents of the Icheon region, Gyeonggi, Korea. The assessment of early symptoms of AMI and stroke utilized adapted items from the Korea Community Health Survey. In consideration of health literacy and education attainment, logistic regression analyses were conducted. While there was no significant association between hypertension and awareness of AMI or stoke symptoms, individuals with dyslipidemia demonstrated enhanced recognition of specific AMI symptoms, such as 'sudden chest pain or pressure' and 'sudden feeling of breathlessness'. No significant associations were observed between hypertension or dyslipidemia and awareness of stroke symptoms. The study emphasized the significance of targeted health education programs for individuals with chronic conditions to enhance their awareness of early symptoms of AMI and stroke.

Indexed as

awarenesscardiovascular diseasesdyslipidemiaseducationhealth literacyhypertensionmyocardial infarctionstroke

Identifiers

PMID38610158
PMCPMC11011673
OpenAlexW4393279575

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.