The impact of COVID-19 on different population subgroups: ethnic, gender and age-related disadvantage.


Journal

The journal of the Royal College of Physicians of Edinburgh
ISSN: 2042-8189
Titre abrégé: J R Coll Physicians Edinb
Pays: England
ID NLM: 101144324

Informations de publication

Date de publication:
06 2021
Historique:
entrez: 29 6 2021
pubmed: 30 6 2021
medline: 29 7 2021
Statut: ppublish

Résumé

Against a background of stalling UK life expectancy, the COVID-19 pandemic is a major crisis for public health with impacts differing markedly by ethnicity, gender, and age. Direct health impacts include mortality and long-term harms among survivors. Social disruption and lockdown measures arising from uncontrolled infection have destabilised healthcare and other essential services. The economic crisis resulting from the pandemic is already triggering job losses, which will in turn have their own adverse health effects. These myriad impacts of the pandemic are not affecting everyone equally. Ethnic minorities, men and older people have disproportionately suffered from COVID-19, including their risk of mortality. However, some indirect impacts - including those on mental health and employment - are more likely to affect women and younger people. The health consequences of the pandemic will affect the lives of people in the UK for decades.

Identifiants

pubmed: 34185037
doi: 10.4997/JRCPE.2021.240
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

S40-S46

Subventions

Organisme : Medical Research Council
ID : MC_UU_00022/2
Pays : United Kingdom
Organisme : Chief Scientist Office
ID : SCAF/15/02
Pays : United Kingdom
Organisme : Chief Scientist Office
ID : SPHSU13
Pays : United Kingdom
Organisme : Chief Scientist Office
ID : SPHSU17
Pays : United Kingdom

Déclaration de conflit d'intérêts

SVK is co-chair of Scottish Government’s Expert Reference Group on ethnicity and COVID-19 and is a member of the Scientific Advisory Group on Emergencies (SAGE) subgroup on ethnicity. Except for the funding acknowledged above, we declare no other conflicts of interest. SVK and KJH acknowledge funding from the Medical Research Council (MC_UU_00022/2) and the Scottish Government Chief Scientist Office (SPHSU13). SVK also reports funding from a NRS Senior Clinical Fellowship (SCAF/15/02). SB is supported by an MRC doctoral studentship (MR/N013867/1).

Auteurs

Srinivasa Vittal Katikireddi (SV)

MRC/CSO Social and Public Health Sciences Unit University of Glasgow, Berkeley Square, 99 Berkeley Street, Glasgow G3 7HR, UK, Email: vittal.katikireddi@glasgow.ac.uk.

Kirsten Jane Hainey (KJ)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London.

Sarah Beale (S)

UCL Research Department of Epidemiology & Public Health, University College London, London.

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Classifications MeSH