Volume 3, Issue 3 (July 2024)                   Health Science Monitor 2024, 3(3): 195-202 | Back to browse issues page


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Rasouli J, Hosseini A, Alinejad V. Evaluating trends and influencing factors of cardiovascular disease mortality over time: a time series analysis in West Azerbaijan province. Health Science Monitor 2024; 3 (3) :195-202
URL: http://hsm.umsu.ac.ir/article-1-146-en.html
M.Sc. student, Epidemiology, Urmia University of Medical Sciences, Urmia, Iran (Corresponding Author)
Abstract:   (492 Views)
Background & Aims: Cardiovascular diseases are among the most important causes of death worldwide. The present study aimed to evaluate the trend of changes in the death rate due to cardiovascular diseases, with an emphasis on short- and long-term effective variables.
Materials & Methods: In this descriptive-analytical (time series) study, all deaths due to cardiovascular diseases registered in the health registration system of death cases by the Health Vice-Chancellor of Urmia University of Medical Sciences from 2018 to 2021 were analyzed. A total of 27,146 cases of death due to cardiovascular causes were recorded and included in our study. SPSS, Minitab, and SAS software were utilized for data analysis.
Results: The rate of death due to cardiovascular causes in this study was 30.51% during the investigated period. The univariate time series model (ARMA 1, 2) was deemed the most suitable fit model for cardiovascular death data. Also, age and education were identified as effective factors in the rate of cardiovascular deaths.
Conclusion: The trend of cardiovascular deaths has not been rising. It has increased with age and lower education levels over time. This rate has been further exacerbated during the COVID-19 pandemic.
Full-Text [PDF 662 kb]   (136 Downloads)    
Type of Study: Research | Subject: General
Received: 2023/10/2 | Accepted: 2024/05/11 | Published: 2024/07/8

References
1. Kazeminia M, Salari N, Mohammadi M. Prevalence of Cardiovascular Disease in Patients with Type 2 Diabetes Mellitus in Iran: A Systematic Review and Meta-Analysis. Journal of Diabetes Research. 2020:2069867 [DOI] [PMID] [PMCID]
2. Mendis S, Puska P, Norrving Be, Organization WH. Global atlas on cardiovascular disease prevention and control: World Health Organization; 2023. [Google Scholar]
3. Pinaire J, Azé J, Bringay S, Cayla G, Landais P. Hospital burden of coronary artery disease: trends of myocardial infarction and/or percutaneous coronary interventions in France 2009-2014. PLoS One .1019; 14(5): e0215649 [DOI] [PMID] [PMCID]
4. Pfefferbaum B, North CS. Mental health and the Covid-19 pandemic. New England journal of medicine. 2020; 383(6): 2-510 [DOI] [PMID]
5. Li X, Zai J, Zhao Q, Nie Q, Li Y, Foley BT, Chaillon A. Evolutionary history, potential intermediate animal host, and cross‐species analyses of SARS‐CoV‐2. Journal of medical virology. 2020; 92(6): 11-602 [DOI] [PMID] [PMCID]
6. Bansal M. Cardiovascular disease and COVID-19. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2020: 14(3); 50-247. [DOI] [PMID] [PMCID]
7. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. jama. 2020; 323(11); 9-1061. [DOI] [PMID] [PMCID]
8. Ghazizadeh H, Zakerimoghadam M. COVID-19 and cardiovascular complications. Cardiovascular Nursing Journal. 2021; 10(1): 11-202. [Google Scholar]
9. Mahdavi Shahri SM, Khalili Z, Sadralahi A, Saadati B. (2013). Investigation of the prevalence of cardiovascular disease risk factors in the elderly of Kashan city in 2013. Cardiovascular Nursing, 3(3), 6-13. [URL]
10. Rahmanian V, Zahedi R, Houshmandi K, Karamtalrahmani, Fakharoori L. The impact of the Corona crisis on the mortality trend: has the mortality trend changed? Journal of Jahrom University of Medical Sciences. 2021;19(1). [DOI]
11. Arjenan MM, Askarshahi M, Vakili M. Comparison between Efficiency of Poisson Regression Model and Negative Binomial Regression in the Analysis of Factors Affecting Mortality from Cardiovascular Diseases in Yazd Province in 2017. The Journal of Tolooebehdasht. 2020. [Google Scholar]
12. Kayani F, Bahner A, Marathi M. Application of cohort-period-age method in estimating and predicting death rate due to ischemic heart disease with low registration coverage during 2013-2016 in Isfahan. Health System Research Journal. 2019;15(1):83-90. [DOI]

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