Evidence map›Paper›PMID 37489132›Full record

ArticleDemographic research2023

Differential impact of the COVID-19 pandemic on excess mortality and life expectancy loss within the Hispanic population.

Elizabeth Arias, Betzaida Tejada-Vera

Abstract read
In one paragraph

Article in Demographic research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Cognitive difficulties among middle-aged and older Latino adults: within-group variation across U.S. states.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Elizabeth AriasNational Center for Health Statistics, Hyattsville, Maryland, USA.
Betzaida Tejada-VeraNational Center for Health Statistics, Hyattsville, Maryland, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundThe impact of the COVID-19 pandemic on the Hispanic population resulted in the almost complete elimination of the long-standing Hispanic mortality advantage relative to the non-Hispanic White population. However, it is unknown how COVID-19 mortality affected the diverse Hispanic subpopulations.

objectiveWe estimate life expectancy at birth in 2019 and 2020 by select Hispanic country/region of origin and explore how changes in age-specific all-cause and COVID-19 mortality affected changes in life expectancy between 2019 and 2020 for each group.

methodsWe use final 2019 and 2020 mortality data from the National Center for Health Statistics and population estimates based on the 2019 and 2020 American Community Survey. We calculate life tables and apply decomposition techniques to explore the effects of changes in age- and cause-specific mortality on life expectancy.

resultsPatterns of age- and cause-specific excess deaths and their impact on declines in life expectancy due to the COVID-19 pandemic differed substantially by Hispanic subgroup. Life expectancy losses ranged from 0.6 to 6.7 years among males and from 0.6 to 3.6 years among females.

conclusionsOur findings highlight the heterogeneous impact of the COVID-19 pandemic within the Hispanic population. CONTRIBUTIONS: Our findings contribute new information that will help future researchers identify the causes of the disproportionately severe impact of the COVID-19 pandemic on the Hispanic population. Our study underscores the importance of population disaggregation in endeavors to identify the multiple pathways by which the pandemic affected the Hispanic population.

Identifiers

PMID37489132
PMCPMC10364128

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.