Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Oct 11:14:04210.
doi: 10.7189/jogh.14.04210.

Socioeconomic disparities and cardio-cerebrovascular diseases: A nationwide cross-sectional study

Affiliations

Socioeconomic disparities and cardio-cerebrovascular diseases: A nationwide cross-sectional study

Ji Woong Roh et al. J Glob Health. .

Abstract

Background: Although socioeconomic status (SES) is considered a risk factor for cardio-cerebrovascular diseases (CCVDs), few studies have examined this association. In this cross-sectional study, we aimed to assess the prevalence and trends of CCVDs across different SES groups over a 12-year period in a representative Korean population.

Methods: We analysed 47 745 economically active adults aged ≥30 and <65 years from 97 622 patients in the Korean National Health and Nutrition Examination Survey (2007-18), where a new independent sample of the population was examined each year. We categorised the participants into four groups based on education level and income. The prevalence of hypertension, diabetes mellitus, dyslipidaemia, and CCVD, including angina, myocardial infarction, and stroke, was analysed at four-year intervals.

Results: Average age, urban residence, white-collar occupation, and body mass index >30 increased, whereas CCVD prevalence did not change significantly (P = 0.410) over the study period. Low education (odds ratio (OR) = 1.24; 95% confidence interval (CI) = 1.04-1.47, P < 0.001) and low income (OR = 1.14; 95% CI = 1.02-1.28, P = 0.017) were significant determinants of CCVD in addition to existing traditional risk factors. CCVD prevalence was significantly higher in both the low-education and low-income groups compared to the high-education and high-income groups every four years, with no significant change in this gap over the study period (P = 0.239).

Conclusions: Despite the increase in the elderly population and the prevalence of obesity, the incidence of CCVDs in Korea has remained unchanged. Individuals with low education or low income had a significantly higher prevalence of CCVD, with the lowest SES group, defined by both low education and low income, consistently having the highest prevalence of CCVDs.

PubMed Disclaimer

Conflict of interest statement

Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interest.

Figures

Figure 1
Figure 1
Twelve-year trends of study population characteristics and disease prevalence. Panel A. Twelve-year trends in age, urbanisation, white-collar employment, BMI>30, and low education and income populations. Panel B. Twelve-year trends of study population in hypertension, diabetes mellitus, dyslipidaemia, and CCVD. CCVD – cardio-cerebrovascular disease.
Figure 2
Figure 2
Twelve-year trends in odds ratios for disease prevalence. Panel A. Twelve-year comparisons of hypertension prevalence across groups A–D. Panel B. Twelve-year comparisons of diabetes mellitus prevalence across groups A–D. Panel C. Twelve-year comparisons of dyslipidaemia prevalence across groups A–D. Panel D. Twelve-year comparisons of CCVD prevalence across groups A–D. CCVD – cardio-cerebrovascular diseases, group A – high education and high-income group, group D – low education and low-income group.
Figure 3
Figure 3
Twelve-year trends in odds ratios for CCVD prevalence between groups A and D. Group A – high educational and high-income group, group D – low education and low-income group.

Similar articles

Cited by

References

    1. GBD 2019 Viewpoint Collaborators Five insights from the Global Burden of Disease Study 2019. Lancet. 2020;396:1135–59. 10.1016/S0140-6736(20)31404-5 - DOI - PMC - PubMed
    1. Wang W, Luo J, Dugas M, Gao GG, Agarwal R, Werner RM.Recency of Online Physician Ratings. JAMA Intern Med. 2022;182:881–3. 10.1001/jamainternmed.2022.2273 - DOI - PMC - PubMed
    1. Hajar R.Risk Factors for Coronary Artery Disease: Historical Perspectives. Heart Views. 2017;18:109–14. 10.4103/HEARTVIEWS.HEARTVIEWS_106_17 - DOI - PMC - PubMed
    1. Yusuf S, Joseph P, Rangarajan S, Islam S, Mente A, Hystad P, et al. Modifiable risk factors, cardiovascular disease, and mortality in 155 722 individuals from 21 high-income, middle-income, and low-income countries (PURE): a prospective cohort study. Lancet. 2020;395:795–808. 10.1016/S0140-6736(19)32008-2 - DOI - PMC - PubMed
    1. Adler NE, Ostrove JM.Socioeconomic status and health: what we know and what we don’t. Ann N Y Acad Sci. 1999;896:3–15. 10.1111/j.1749-6632.1999.tb08101.x - DOI - PubMed

LinkOut - more resources