CoChat
Sign Up
Cited by 107Atrial Fibrillation Management and OutcomesAcute Ischemic Stroke ManagementCardiac electrophysiology and arrhythmias

The DOI matches its Crossref record; 28 of the 31 references it cites were found in a registry or an index.

Prevalence of and Risk Factors for Atrial Fibrillation in Korean Adults Older than 40 Years

Open access
Jeong, Joon Hoon·2005·Journal of Korean Medical Science
DOI 10.3346/jkms.2005.20.1.26PMC PMC2808570
Open this paper in CoChat — free accountOpen PDF

Abstract

Atrial fibrillation (AF) is a common arrhythmia that is a potent independent risk factor for stroke. The incidence of AF increase with age and most affected people have underlying cardiac disease. This study aimed to describe the prevalence of and risk factors for AF in Korean. In this study, 14,540 adults (male 6,573/female 7,967) > or =40 yr old received screening test for general health between April 2000 and December 2000. Participants answered questionnaires and underwent examinations that included blood pressure, electrocardiogram (ECG), total cholesterol, and fasting glucose. Data analysis was done by SPSS 10.0 for Windows. The prevalence of AF was 0.7% in people older than 40 yr and 2.1% in those older than 65 yr. The prevalence in men was 1.2% and women was 0.4% in people older than 40 yr. The prevalence in men was 3.3% and women was 1.1% in people older than 65 yr. Approximately 56.6% of individuals with AF are older than 65 yr. The prevalence of AF was higher at all age group in men than in women. Also, the prevalence of AF was highest in people older than 80 yr. In univariate analysis, male sex, old age (> or =65 yr), hypertension, diabetes mellitus, left ventricular hypertrophy in ECG, stroke, and cardiac disease were associated with an increased risk of AF. In multivariate analysis, however, risk factors of AF were male (odds ratio, OR 4.1; 95% confidence interval [CI] : 2.6 to 6.5; p=0.000), old age (OR 5.3; 95% CI:3.5 to 7.9; p=0.000), and cardiac disease (OR 19.8; 95% CI:12.3 to 31.8; p=0.000). In this study, the most potent risk factors of AF was cardiac disease.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3346/jkms.2005.20.1.26

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Show all 31 references

3 of the 31 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. Feinberg, 1995, Arch Intern Med, 155, 469, 10.1001/archinte.1995.00430050045005 · DOI
  2. The Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults, 1993, JAMA, 269, 3015, 10.1001/jama.1993.03500230097036 · DOI

Cited by

Sorted by citations

Items 101–107 of 107

Related

See all

Metadata

Authors
Jeong, J. H.
Affiliations
Baptist Hospital (KR)
Corresponding author
Jeong, Joon Hoon
ORCID
Jeong, Joon Hoon
Venue
Journal of Korean Medical Science
Publisher
Korean Academy of Medical Sciences
Published
2005
Volume
20
Issue
1
Pages
26
ISSN
1011-8934 (ISSN-L)
DOI
10.3346/jkms.2005.20.1.26
PMC
PMC2808570
OpenAlex
W2154474060
Cited by
107
References
31
Citations by year
2026: 2 · 2025: 3 · 2024: 1 · 2023: 1 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 5 · 2018: 3 · 2017: 10 · 2016: 13 · 2015: 9 · 2014: 7 · 2013: 9 · 2012: 13
FWCI
2.06
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of Korean Medical Science (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
  • Health Sciences › Medicine › Clinical Neurology › Acute Ischemic Stroke Management
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
Keywords
atrial fibrillation, prevalence, risk factors, older adults, Korean adults, sex differences, age, heart disease, hypertension, diabetes mellitus, left ventricular hypertrophy, stroke, electrocardiogram screening
MeSH terms
Adult, Age Factors, Aged, Aged, 80 and over, Atrial Fibrillation, Cholesterol, Electrocardiography, Female, Glucose, Heart Diseases, Humans, Korea, Male, Middle Aged, Risk, Risk Factors, Incidence, Prevalence, Multivariate Analysis, Logistic Models, Odds Ratio, Hypertrophy, Left Ventricular

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review