Evidence map›Paper›PMID 36600273›Full record

ArticleBMC medicine2023

Individual and neighborhood risk factors of hospital admission and death during the COVID-19 pandemic: a population-based cohort study.

Max Bell, Maria-Pia Hergens, Stefan Fors, Per Tynelius, Antonio Ponce de Leon, Anton Lager

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
11.0field-weighted citation impact, top 1% of its field
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

11 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. From test to rest: evaluating socioeconomic differences along the COVID-19 care pathway in the Netherlands.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Variability in excess deaths across countries with different vulnerability during 2020-2023.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. 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

6 authors at 3 institutions in 1 country.

Max BellDepartment of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden. max.bell@regionstockholm.se.ORCID 0000-0001-7464-0324
Maria-Pia HergensDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Stefan ForsAging Research Center, Karolinska Institutet & Stockholm Universitet, Solna, Sweden.
Per TyneliusDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Antonio Ponce de LeonDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Anton LagerDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEKarolinska University Hospital · SEPublic Health Agency of Sweden · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) disproportionately affects minority populations in the USA. Sweden - like other Nordic countries - have less income and wealth inequality but lacks data on the socioeconomic impact on the risk of adverse outcomes due to COVID-19.

methodsThis population-wide study from March 2020 to March 2022 included all adults in Stockholm, except those in nursing homes or receiving in-home care. Data sources include hospitals, primary care (individual diagnoses), the Swedish National Tax Agency (death dates), the Total Population Register "RTB" (sex, age, birth country), the Household Register (size of household), the Integrated Database For Labor Market Research "LISA" (educational level, income, and occupation), and SmiNet (COVID data). Individual exposures include education, income, type of work and ability to work from home, living area and living conditions as well as the individual country of origin and co-morbidities. Additionally, we have data on the risks associated with living areas. We used a Cox proportional hazards model and logistic regression to estimate associations. Area-level covariates were used in a principal component analysis to generate a measurement of neighborhood deprivation. As outcomes, we used hospitalization and death due to COVID-19.

resultsAmong the 1,782,125 persons, male sex, comorbidities, higher age, and not being born in Sweden increase the risk of hospitalization and death. So does lower education and lower income, the lowest incomes doubled the risk of death from COVID-19. Area estimates, where the model includes individual risks, show that high population density and a high percentage of foreign-born inhabitants increased the risk of hospitalization.

conclusionsSegregation and deprivation are public health issues elucidated by COVID-19. Neighborhood deprivation, prevalent in Stockholm, adds to individual risks and is associated with hospitalization and death. This finding is paramount for governments, agencies, and healthcare institutions interested in targeted interventions.

Indexed as

COVID-19AdultCohort StudiesHospitalizationHospitalsHumansMalePandemicsRisk FactorsCohort studyCOVID-19EpidemiologyHospitalizationMortalityPopulation studySocioeconomicsStockholm

Identifiers

PMID36600273
PMCPMC9812348
OpenAlexW4313546399

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.