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Excess Mortality in California by Education During the COVID-19 Pandemic.
Chen, Yea-Hung; Matthay, Ellicott C; Chen, Ruijia; DeVost, Michelle A; Duchowny, Kate A; Riley, Alicia R; Bibbins-Domingo, Kirsten; Glymour, M Maria.
  • Chen YH; Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California.
  • Matthay EC; Department of Population Health, NYU Langone Health, New York, New York.
  • Chen R; Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California.
  • DeVost MA; Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California.
  • Duchowny KA; Institute for Social Research, University of Michigan, Ann ArborAnn Arbor, Michigan.
  • Riley AR; Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California; Department of Sociology, University of California Santa Cruz, Santa Cruz, California.
  • Bibbins-Domingo K; Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California.
  • Glymour MM; Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California. Electronic address: maria.glymour@ucsf.edu.
Am J Prev Med ; 63(5): 827-836, 2022 11.
Article in English | MEDLINE | ID: covidwho-1956060
ABSTRACT

INTRODUCTION:

Understanding educational patterns in excess mortality during the coronavirus disease 2019 (COVID-19) pandemic may help to identify strategies to reduce disparities. It is unclear whether educational inequalities in COVID-19 mortality have persisted throughout the pandemic, spanned the full range of educational attainment, or varied by other demographic indicators of COVID-19 risks, such as age or occupation.

METHODS:

This study analyzed individual-level California Department of Public Health data on deaths occurring between January 2016 and February 2021 among individuals aged ≥25 years (1,502,202 deaths). Authors applied ARIMA (autoregressive integrated moving average) models to subgroups defined by the highest level of education and other demographics (age, sex, race/ethnicity, U.S. nativity, occupational sector, and urbanicity). Authors estimated excess deaths (the number of observed deaths minus the number of deaths expected to occur under the counterfactual of no pandemic) and excess deaths per 100,000 individuals.

RESULTS:

Educational inequalities in excess mortality emerged early in the pandemic and persisted throughout the first year. The greatest per-capita excess occurred among people without high-school diplomas (533 excess deaths/100,000), followed by those with a high-school diploma but no college (466/100,000), some college (156/100,000), and bachelor's degrees (120/100,000), and smallest among people with graduate/professional degrees (101/100,000). Educational inequalities occurred within every subgroup examined. For example, per-capita excess mortality among Latinos with no college experience was 3.7 times higher than among Latinos with at least some college experience.

CONCLUSIONS:

Pervasive educational inequalities in excess mortality during the pandemic suggest multiple potential intervention points to reduce disparities.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: Am J Prev Med Journal subject: Public Health Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: Am J Prev Med Journal subject: Public Health Year: 2022 Document Type: Article