Volume 21, Issue 4 (1-2026)
J Health Syst Res 2026, 21(4): 455-463 |
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Research code: 140106084605
Ethics code: IR.UMSHA.REC.1401.435
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Moradi A, Darabi F, Moini B, Goli B, Moradi N. The Relationship between Socio-Economic Factors and the Death Rate of COVID-19 in Hamadan Province, Iran. J Health Syst Res 2026; 21 (4) :455-463
URL: http://hsr.mui.ac.ir/article-1-1743-en.html
URL: http://hsr.mui.ac.ir/article-1-1743-en.html
1- PhD, Occupational Health and Safety Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
2- Associate Professor, Department of Public Health, Asadabad School of Medical Sciences, Asadabad, Iran
3- Professor, Research Center for Social Factors Affecting Health, Hamadan University of Medical Sciences, Hamadan, Iran
4- Resident, Department of Surgery, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
5- Department of Nutrition, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
2- Associate Professor, Department of Public Health, Asadabad School of Medical Sciences, Asadabad, Iran
3- Professor, Research Center for Social Factors Affecting Health, Hamadan University of Medical Sciences, Hamadan, Iran
4- Resident, Department of Surgery, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
5- Department of Nutrition, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
Abstract: (18 Views)
Background: Studies based on the Distressed Communities Index (DCI) show that low socioeconomic status is associated with reduced life expectancy, quality of life (QOL), and more severe outcomes related to diseases and injuries. Therefore, this study was conducted to determine the relationship between socioeconomic factors and coronavirus disease 2019 (COVID-19) mortality in Hamadan Province, Iran.
Methods: The present study was conducted using a case-control design. The required information was collected through the COVID-19 case registration system in Hamadan Province, the integrated health system (SIB system), and telephone calls with individuals in the case and control groups. All COVID-19 deaths in Hamadan Province from the beginning of the epidemic until the end of 2022 were included in the study. Statistical analyses were performed in two sections, descriptive and analytical, using SPSS software. A significance level of 0.05 was considered.
Findings: A total of 770 individuals were surveyed in this study. 412 (53.5%) of them were men and 358 (46.5%) were women. The mean and standard deviation (SD) of age of the study participants was 65.75 ± 26.19 years. After removing the effect of confounding variables, using a logistic regression model, the association of age [P < 0.001, odds ratio (OR) = 1.05, 95% confidence interval (CI): 1.04-1.07], marital status (P < 0.001, OR = 0.10, 95% CI: 0.06-0.18), education (P < 0.001, OR = 9.44, 95% CI: 3.75-23.79), economic status (P < 0.001, OR = 0.53, 95% CI: 0.33-0.84), and underlying disease (P = 0.01, OR = 1.67, 95% CI: 1.09-2.58) with COVID-19 mortality was statistically significant.
Conclusion: Based on the findings of this study, socioeconomic variables influence COVID-19 mortality rates. Disease mortality results from a complex interplay of factors that are not yet fully understood. The COVID-19 mortality rate increases with age. This rate is also higher in married patients, those with secondary education, poor economic status, and underlying diseases.
Methods: The present study was conducted using a case-control design. The required information was collected through the COVID-19 case registration system in Hamadan Province, the integrated health system (SIB system), and telephone calls with individuals in the case and control groups. All COVID-19 deaths in Hamadan Province from the beginning of the epidemic until the end of 2022 were included in the study. Statistical analyses were performed in two sections, descriptive and analytical, using SPSS software. A significance level of 0.05 was considered.
Findings: A total of 770 individuals were surveyed in this study. 412 (53.5%) of them were men and 358 (46.5%) were women. The mean and standard deviation (SD) of age of the study participants was 65.75 ± 26.19 years. After removing the effect of confounding variables, using a logistic regression model, the association of age [P < 0.001, odds ratio (OR) = 1.05, 95% confidence interval (CI): 1.04-1.07], marital status (P < 0.001, OR = 0.10, 95% CI: 0.06-0.18), education (P < 0.001, OR = 9.44, 95% CI: 3.75-23.79), economic status (P < 0.001, OR = 0.53, 95% CI: 0.33-0.84), and underlying disease (P = 0.01, OR = 1.67, 95% CI: 1.09-2.58) with COVID-19 mortality was statistically significant.
Conclusion: Based on the findings of this study, socioeconomic variables influence COVID-19 mortality rates. Disease mortality results from a complex interplay of factors that are not yet fully understood. The COVID-19 mortality rate increases with age. This rate is also higher in married patients, those with secondary education, poor economic status, and underlying diseases.
Type of Study: Research |
Subject:
education health and promotion
Received: 2024/01/30 | Accepted: 2024/11/20 | Published: 2026/01/5
Received: 2024/01/30 | Accepted: 2024/11/20 | Published: 2026/01/5
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