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Journal of Statistics and Management Systems

(Since 1998)
Open Access ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510

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Monthly Journal: Publishes peer-reviewed aticles on theoretical and applied statistics and management systems, expoloring industrial statistics, actuarial and decision sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Journal of Statistics and Management Systems
Open Access Research Article

Utilizing statistical methods to assess the association between demographic variables and angiographycally confirmed CVD

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pp. 177–191Vol. 28Issue 1January 2025DOI: 10.47974/JSMS-1386XML
Received:
15 May 2024
Published Online:
15 Jan 2025
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1386
Pages:
177–191

Abstract

Background: Reasons for the high propensity to develop CVD, the high case fatality and the high premature mortality include biological mechanisms, Social determinants and their interactions. Hence understanding the influence of demographic variables such as Gender, Age, Education, Marital Status, Work Type on the prevalence and severity of CVD was crucial for developing targeted prevention strategies. This will guide individuals in modifying their lifestyle for CVD free life. This investigation is important due to the prevalence of CVD and the need to address gaps in understanding; we can gain insights into the distribution and impact of CVD within populations. Objective: Utilizing statistical techniques to analyze and quantify the relationships between demographic variable statuses correlated with the presence of angiographically confirmed CVD. Materials Methods: The data of 274 study participants visiting Cardiology Department from Krishna Hospital, Karad, Maharashtra with complaints of CVD was used. Chi-Square test was applied to study association of demographic study parameters with CVD. Logistic regression was carried out to develop the regression model. Results: Age, Edu, Marital Status were significantly associated with CVD. Logistic regression analysis also detected same variables for best identification of CVD. Conclusion: As age advances the risk of CVD increases. This notices that one should be health conscious as age increases and underscores the importance of maintaining good health awareness with advancing age.

Keywords

Chi-square testLogistic regressionROC

Subject Classifications

62Fxx62J0762P10

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