COVID-19 related health inequality exists even in a city where disease incidence is relatively low: a telephone survey in Hong Kong.

communicable diseases deprivation health inequalities poverty social inequalities

Journal

Journal of epidemiology and community health
ISSN: 1470-2738
Titre abrégé: J Epidemiol Community Health
Pays: England
ID NLM: 7909766

Informations de publication

Date de publication:
Jul 2021
Historique:
received: 20 08 2020
revised: 18 11 2020
accepted: 16 12 2020
medline: 7 1 2021
pubmed: 7 1 2021
entrez: 6 1 2021
Statut: ppublish

Résumé

We examined whether COVID-19 could exert inequalities in socioeconomic conditions and health in Hong Kong, where there has been a relatively low COVID-19 incidence. 752 adult respondents from a previous random sample participated in a telephone survey from 20 April to 11 May 2020. We examined demographic and socioeconomic factors, worry of COVID-19, general health, economic activity, and personal protective equipment (PPE) and related hygiene practice by deprivation status. The associations between deprivation and negative COVID-19 related issues were analysed using binary logistic regressions, while the associations of these issues with health were analysed using linear regressions. Path analysis was conducted to determine the direct effect of deprivation, and the indirect effects via COVID-19 related issues, on health. Interactions between deprivation and the mediators were also tested. Deprived individuals were more likely to have job loss/instability, less reserves, less utilisation and more concerns of PPE. After adjustments for potential confounders, being deprived was associated with having greater risk of low reserve of face masks, being worried about the disease and job loss/instability. Being deprived had worse physical (β=-0.154, p<0.001) and mental health (β=-0.211, p<0.001) and had an indirect effect on mental health via worry and job loss/instability (total indirect effect: β=-0.027, p=0.017; proportion being mediated=11.46%). In addition, significant interaction between deprivation and change of economic activity status was observed on mental health-related quality of life. Even if the COVID-19 incidence was relatively low, part of the observed health inequality can be explained by people's concerns over livelihood and economic activity, which were affected by the containment measures. We should look beyond the incidence to address COVID-19 related health inequalities.

Sections du résumé

BACKGROUND BACKGROUND
We examined whether COVID-19 could exert inequalities in socioeconomic conditions and health in Hong Kong, where there has been a relatively low COVID-19 incidence.
METHODS METHODS
752 adult respondents from a previous random sample participated in a telephone survey from 20 April to 11 May 2020. We examined demographic and socioeconomic factors, worry of COVID-19, general health, economic activity, and personal protective equipment (PPE) and related hygiene practice by deprivation status. The associations between deprivation and negative COVID-19 related issues were analysed using binary logistic regressions, while the associations of these issues with health were analysed using linear regressions. Path analysis was conducted to determine the direct effect of deprivation, and the indirect effects via COVID-19 related issues, on health. Interactions between deprivation and the mediators were also tested.
RESULTS RESULTS
Deprived individuals were more likely to have job loss/instability, less reserves, less utilisation and more concerns of PPE. After adjustments for potential confounders, being deprived was associated with having greater risk of low reserve of face masks, being worried about the disease and job loss/instability. Being deprived had worse physical (β=-0.154, p<0.001) and mental health (β=-0.211, p<0.001) and had an indirect effect on mental health via worry and job loss/instability (total indirect effect: β=-0.027, p=0.017; proportion being mediated=11.46%). In addition, significant interaction between deprivation and change of economic activity status was observed on mental health-related quality of life.
CONCLUSION CONCLUSIONS
Even if the COVID-19 incidence was relatively low, part of the observed health inequality can be explained by people's concerns over livelihood and economic activity, which were affected by the containment measures. We should look beyond the incidence to address COVID-19 related health inequalities.

Identifiants

pubmed: 33402396
pii: jech-2020-215392
doi: 10.1136/jech-2020-215392
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

616-623

Informations de copyright

© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Roger Yat-Nork Chung (RY)

School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong rychung@cuhk.edu.hk.
CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong, Hong Kong.

Gary Ka-Ki Chung (GK)

CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong, Hong Kong.

Michael Marmot (M)

CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong, Hong Kong.
UCL Institute of Health Equity, Research Department of Epidemiology and Public Health, University College London, London, UK.

Jessica Allen (J)

UCL Institute of Health Equity, Research Department of Epidemiology and Public Health, University College London, London, UK.

Dicken Chan (D)

School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.

Peter Goldblatt (P)

UCL Institute of Health Equity, Research Department of Epidemiology and Public Health, University College London, London, UK.

Hung Wong (H)

CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong, Hong Kong.
Department of Social Work, The Chinese University of Hong Kong, Hong Kong, Hong Kong.

Eric Lai (E)

CUHK Institute of Ageing, The Chinese University of Hong Kong, Hong Kong, Hong Kong.

Jean Woo (J)

CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong, Hong Kong.
CUHK Institute of Ageing, The Chinese University of Hong Kong, Hong Kong, Hong Kong.

Eng-Kiong Yeoh (EK)

School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.
CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong, Hong Kong.

Samuel Y S Wong (SYS)

School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.
CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong, Hong Kong.

Classifications MeSH