Epidemiology and Health

COVID-19: Original Article

Unemployment and COVID-19-related mortality: a historical cohort study of 50,000 COVID-19 patients in Fars, Iran: Alireza Mirahmadizadeh, Mohammad Taghi Badeleh Shamooshaki, Amineh Dadvar, Mohammad Javad Moradian, Mohammad Aryaie; Epidemiol Health. 2022;44:e2022032. Published online March 12, 2022; DOI: https://doi.org/10.4178/epih.e2022032

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Abstract

OBJECTIVES
Previous studies have estimated the risk of death associated with unemployment in the coronavirus disease 2019 (COVID-19) pandemic, but no studies have examined unemployment before COVID-19 infection as a risk factor for COVID-19-related mortality. Thus, this study aimed to investigate COVID-19 mortality among this population.

METHODS

Data on 50,038 people aged 25-59 years were collected from 38 agencies in Fars Province, Iran, from February 2020 to July 2021. Follow-up lasted from participants’ diagnosis with COVID-19 based on the results of a reverse transcription-polymerase chain reaction test to participants’ death or the end of the study period. The association between unemployment and COVID-19-related mortality was estimated using the Poisson regression method, and a sensitivity analysis was conducted to calculate the E-value.

RESULTS

Unemployment was associated with a 2.41-fold (95% confidence interval [CI], 2.01 to 2.90) higher age-adjusted and sex-adjusted risk of COVID-19-related mortality. The adjusted Poisson regression analysis showed 8.82 (95% CI, 6.42 to 12.11), 2.84 (95% CI, 1.90 to 4.24), and 1.58 (95% CI, 1.24 to 2.01) times higher risks of COVID-19-related mortality among unemployed people aged 25-39 years, 40-49 years, and 50-59 years, respectively, than among their employed counterparts. Unemployment increased the risk of COVID-19 mortality by 3.31 (95% CI, 2.31 to 4.74) and 2.30 (95% CI, 1.86 to 2.84) times in female and male, respectively. The E-value was 3.43, reflecting the minimum strength of confounding required to shift the association between unemployment and COVID-19-related mortality toward the null.

CONCLUSIONS

Unemployment prior to COVID-19 infection increased the risk of COVID-19-related mortality. COVID-19-related mortality disproportionately impacted unemployed women and younger unemployed people.

Summary

Key Message
This study adds new insights to the existing body of work on the topic of unemployment and COVID-19-related mortality. Unemployment prior to COVID-19 infection was found to increase the risk of COVID-19-related mortality, which disproportionately burdened unemployed female and younger unemployed people. It seems older unemployed people and unemployed males may tend to have more financial resources and savings when they lose a job, making younger unemployed people and unemployed female more vulnerable to financial stress, which can lead to deferred care and increase their risk of COVID-19-related mortality.

Citations

Citations to this article as recorded by

How do socioeconomic determinants of health affect the likelihood of living with HTLV-1 globally? A systematic review with meta-analysis
Nydile Ramesh, Beatrice Cockbain, Graham P. Taylor, Carolina Rosadas
Frontiers in Public Health.2024;[Epub] CrossRef
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Richard Adeleke
Dialogues in Health.2023; 2: 100102. CrossRef
Determinant Factors of Mortality in Pre-elderly and Elderly Patients With COVID-19 in Jakarta, Indonesia
Thresya Febrianti, Ngabila Salama, Inggariwati, Dwi Oktavia
Journal of Preventive Medicine and Public Health.2023; 56(3): 231. CrossRef
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Original Article

Predictors of Colorectal Cancer Survival in Golestan, Iran: A Population-based Study: Mohammad Aryaie, Gholamreza Roshandel, Shahryar Semnani, Mohsen Asadi-Lari, Mohsen Aarabi, Mohammad Ali Vakili, Vahideh Kazemnejhad, Seyed Mehdi Sedaghat, Masoud Solaymani-Dodaran; Epidemiol Health. 2013;35:e2013004. Published online June 20, 2013; DOI: https://doi.org/10.4178/epih/e2013004

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Abstract PDF

Abstract

<sec><title>OBJECTIVES</title>We aimed to investigate factors associated with colorectal cancer survival in Golestan, Iran.</sec><sec><title>METHODS</title>We used a population based cancer registry to recruit study subjects. All patients registered since 2004 were contacted and data were collected using structured questionnaires and trained interviewers. All the existing evidences to determine the stage of the cancer were also collected. The time from first diagnosis to death was compared in patients according to their stage of cancer using the Kaplan-Meir method. A Cox proportional hazard model was built to examine their survival experience by taking into account other covariates.</sec><sec><title>RESULTS</title>Out of a total of 345 subjects, 227 were traced. Median age of the subjects was 54 and more than 42% were under 50 years old. We found 132 deaths among these patients, 5 of which were non-colorectal related deaths. The median survival time for the entire cohort was 3.56 years. A borderline significant difference in survival experience was detected for ethnicity (log rank test, p=0.053). Using Cox proportional hazard modeling, only cancer stage remained significantly associated with time of death in the final model.</sec><sec><title>CONCLUSIONS</title>Colorectal cancer occurs at a younger age among people living in Golestan province. A very young age at presentation and what appears to be a high proportion of patients presenting with late stage in this area suggest this population might benefit substantially from early diagnoses by introducing age adapted screening programs.</sec>

Summary

Citations

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