Your browser doesn't support javascript.
Temporal variation of excess deaths from diabetes during the COVID-19 pandemic in the United States.
Yao, Xiaoxin I; Han, Lefei; Sun, Yangbo; He, Daihai; Zhao, Shi; Ran, Jinjun.
  • Yao XI; The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518000, China. Electronic address: irisyiuhy@connect.hku.hk.
  • Han L; School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Electronic address: lfhan@sjtu.edu.cn.
  • Sun Y; Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis, TN 38163, USA. Electronic address: ysun80@uthsc.edu.
  • He D; Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong 999077, China. Electronic address: daihai.he@polyu.edu.hk.
  • Zhao S; Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing 100069, China; Centre for Health Systems and Policy Research, Chinese University of Hong Kong, Hong Kong 999077, China. Electronic address: zhaoshi.cmsa@gmail.com.
  • Ran J; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Electronic address: jinjunr@sjtu.edu.cn.
J Infect Public Health ; 16(4): 483-489, 2023 Apr.
Article in English | MEDLINE | ID: covidwho-2287671
ABSTRACT

BACKGROUND:

Although the COVID-19 pandemic has persisted for more than two years with the evident excess mortality from diabetes, few studies have investigated its temporal patterns. This study aims to estimate the excess deaths from diabetes in the United States (US) during the COVID-19 pandemic and evaluate the excess deaths by spatiotemporal pattern, age groups, sex, and race/ethnicity.

METHODS:

Diabetes as one of multiple causes of death or an underlying cause of death were both considered into analyses. The Poisson log-linear regression model was used to estimate weekly expected counts of deaths during the pandemic with adjustments for long-term trend and seasonality. Excess deaths were measured by the difference between observed and expected death counts, including weekly average excess deaths, excess death rate, and excess risk. We calculated the excess estimates by pandemic wave, US state, and demographic characteristic.

RESULTS:

From March 2020 to March 2022, deaths that diabetes as one of multiple causes of death and an underlying cause of death were about 47.6 % and 18.4 % higher than the expected. The excess deaths of diabetes had evident temporal patterns with two large percentage increases observed during March 2020, to June 2020, and June 2021 to November 2021. The regional heterogeneity and underlying age and racial/ethnic disparities of the excess deaths were also clearly observed.

CONCLUSIONS:

This study highlighted the increased risks of diabetes mortality, heterogeneous spatiotemporal patterns, and associated demographic disparities during the pandemic. Practical actions are warranted to monitor disease progression, and lessen health disparities in patients with diabetes during the COVID-19 pandemic.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: J Infect Public Health Journal subject: Communicable Diseases / Public Health Year: 2023 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: J Infect Public Health Journal subject: Communicable Diseases / Public Health Year: 2023 Document Type: Article