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      Changes in all-cause and cause-specific mortality during the first year of the COVID-19 pandemic in Minnesota: population-based study

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          Abstract

          Background

          The COVID-19 pandemic resulted in unprecedented increases in mortality in the U.S. and worldwide. To better understand the impact of the COVID-19 pandemic on mortality in the state of Minnesota, U.S.A., we characterize the changes in the causes of death during 2020 (COVID-19 period), compared to 2018–2019 (baseline period), assessing for differences across ages, races, ethnicities, sexes, and geographic characteristics.

          Methods

          Longitudinal population-based study using Minnesota death certificate data, 2018–2020. Using Poisson regression models adjusted for age and sex, we calculated all-cause and cause-specific (by underlying causes of death) mortality rates per 100,000 Minnesotans, the demographics of the deceased, and years of life lost (YLL) using the Chiang’s life table method in 2020 relative to 2018–2019.

          Results

          We identified 89,910 deaths in 2018–2019 and 52,030 deaths in 2020. The mean daily mortality rate increased from 123.1 (SD 11.7) in 2018–2019 to 144.2 (SD 22.1) in 2020. COVID-19 comprised 9.9% of deaths in 2020. Other categories of causes of death with significant increases in 2020 compared to 2018–2019 included assault by firearms (RR 1.68, 95% CI 1.34–2.11), accidental poisonings (RR 1.49, 95% CI 1.37–1.61), malnutrition (RR 1.48, 95% CI 1.17–1.87), alcoholic liver disease (RR, 95% CI 1.14–1.40), and cirrhosis and other chronic liver diseases (RR 1.28, 95% CI 1.09–1.50). Mortality rates due to COVID-19 and non-COVID-19 causes were higher among racial and ethnic minority groups, older adults, and non-rural residents.

          Conclusions

          The COVID-19 pandemic was associated with a 17% increase in the death rate in Minnesota relative to 2018–2019, driven by both COVID-19 and non-COVID-19 causes. As the COVID-19 pandemic enters its third year, it is imperative to examine and address the factors contributing to excess mortality in the short-term and monitor for additional morbidity and mortality in the years to come.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12889-022-14743-z.

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          Most cited references55

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

            Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalizability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover 3 main study designs: cohort, case-control, and cross-sectional studies. We convened a 2-day workshop in September 2004, with methodologists, researchers, and journal editors, to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE Statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles. Eighteen items are common to all 3 study designs and 4 are specific for cohort, case-control, or cross-sectional studies. A detailed Explanation and Elaboration document is published separately and is freely available at http://www.annals.org and on the Web sites of PLoS Medicine and Epidemiology. We hope that the STROBE Statement will contribute to improving the quality of reporting of observational studies.
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              COVID-19 and Racial/Ethnic Disparities

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                Author and article information

                Contributors
                mccoy.rozalina@mayo.edu
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                7 December 2022
                7 December 2022
                2022
                : 22
                : 2291
                Affiliations
                [1 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Division of Community Internal Medicine, Geriatrics, and Palliative Care. Department of Medicine, , Mayo Clinic, ; 200 First Street SW, Rochester, MN 55905 USA
                [2 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, ; Rochester, MN 55905 USA
                [3 ]Mayo Clinic Ambulance, Rochester, MN 55905 USA
                [4 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Division of Health Care Delivery Research, , Mayo Clinic, ; Rochester, MN 55905 USA
                [5 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Emergency Medicine, , Mayo Clinic, ; Rochester, MN 55905 USA
                [6 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Quantitative Health Sciences, , Mayo Clinic, ; Rochester, MN 55905 USA
                [7 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Laboratory Medicine and Pathology, , Mayo Clinic, ; Rochester, MN 55905 USA
                Author information
                http://orcid.org/0000-0002-2289-3183
                Article
                14743
                10.1186/s12889-022-14743-z
                9727873
                36474190
                aecb6acb-73d1-4d7f-be8b-02fff38a6c5c
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 19 May 2022
                : 27 November 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: K23DK114497
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Public health
                covid-19,mortality,epidemiology,pandemic,population health,rural
                Public health
                covid-19, mortality, epidemiology, pandemic, population health, rural

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