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At-risk population for COVID-19: multimorbidity characteristics of a European small Island state
OBJECTIVES: Multimorbidity, defined as the co-occurrence of at least two chronic diseases, is a common occurrence with ageing and a recognised public health concern, especially during the COVID-19 pandemic. The multimorbidity population is more susceptible to the virus, its complications, and death....
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society for Public Health. Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816881/ https://www.ncbi.nlm.nih.gov/pubmed/33611169 http://dx.doi.org/10.1016/j.puhe.2020.12.012 |
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author | Cuschieri, S. Grech, S. |
author_facet | Cuschieri, S. Grech, S. |
author_sort | Cuschieri, S. |
collection | PubMed |
description | OBJECTIVES: Multimorbidity, defined as the co-occurrence of at least two chronic diseases, is a common occurrence with ageing and a recognised public health concern, especially during the COVID-19 pandemic. The multimorbidity population is more susceptible to the virus, its complications, and death. The study aimed to explore the multimorbidity characteristics and their associations at a population level for the first time in Malta. Such data enables adequate priority and policy planning due to COVID-19’s predilection for this population. STUDY AND METHODS: Baseline data was collected from 3,947 adults recruited between 2014-2016 through a cross-sectional study. A single-stage sampling strategy was implemented and stratified by age (18 –70 years), sex and locality. Participants were invited to attend a health examination survey consisting of a questionnaire, anthropometric and biological measurements. Descriptive (chi-square) and analytic (regression modelling) statistics were used to determine the characteristics and associations of the multimorbidity population. The chronic diseases considered for multimorbidity were type 2 diabetes, obesity, hypertension, myocardial infraction, coronary heart disease and dyslipidaemia. RESULTS: Multimorbidity was present in 33% (95% confidence interval 31.54–34.47) of the study population, with a male predominance. Hypertension and myocardial infarction were the commonest multimorbidity combination from a young age group (20–30 years). Low socio-economic status and residing on the island of Gozo were positively associated with multimorbidity. CONCLUSION: Multimorbidity in Malta was evident from a young age, with the highest occurrence among the low socio-economic status and residents of Gozo, bringing forward the need for preventive action. An adaptive healthcare system and policies are recommended to prevent, support, and manage multimorbidity non-communicable diseases while bracing for the current COVID-19 pandemic. |
format | Online Article Text |
id | pubmed-7816881 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society for Public Health. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78168812021-01-21 At-risk population for COVID-19: multimorbidity characteristics of a European small Island state Cuschieri, S. Grech, S. Public Health Short Communication OBJECTIVES: Multimorbidity, defined as the co-occurrence of at least two chronic diseases, is a common occurrence with ageing and a recognised public health concern, especially during the COVID-19 pandemic. The multimorbidity population is more susceptible to the virus, its complications, and death. The study aimed to explore the multimorbidity characteristics and their associations at a population level for the first time in Malta. Such data enables adequate priority and policy planning due to COVID-19’s predilection for this population. STUDY AND METHODS: Baseline data was collected from 3,947 adults recruited between 2014-2016 through a cross-sectional study. A single-stage sampling strategy was implemented and stratified by age (18 –70 years), sex and locality. Participants were invited to attend a health examination survey consisting of a questionnaire, anthropometric and biological measurements. Descriptive (chi-square) and analytic (regression modelling) statistics were used to determine the characteristics and associations of the multimorbidity population. The chronic diseases considered for multimorbidity were type 2 diabetes, obesity, hypertension, myocardial infraction, coronary heart disease and dyslipidaemia. RESULTS: Multimorbidity was present in 33% (95% confidence interval 31.54–34.47) of the study population, with a male predominance. Hypertension and myocardial infarction were the commonest multimorbidity combination from a young age group (20–30 years). Low socio-economic status and residing on the island of Gozo were positively associated with multimorbidity. CONCLUSION: Multimorbidity in Malta was evident from a young age, with the highest occurrence among the low socio-economic status and residents of Gozo, bringing forward the need for preventive action. An adaptive healthcare system and policies are recommended to prevent, support, and manage multimorbidity non-communicable diseases while bracing for the current COVID-19 pandemic. The Royal Society for Public Health. Published by Elsevier Ltd. 2021-03 2021-01-20 /pmc/articles/PMC7816881/ /pubmed/33611169 http://dx.doi.org/10.1016/j.puhe.2020.12.012 Text en © 2021 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Short Communication Cuschieri, S. Grech, S. At-risk population for COVID-19: multimorbidity characteristics of a European small Island state |
title | At-risk population for COVID-19: multimorbidity characteristics of a European small Island state |
title_full | At-risk population for COVID-19: multimorbidity characteristics of a European small Island state |
title_fullStr | At-risk population for COVID-19: multimorbidity characteristics of a European small Island state |
title_full_unstemmed | At-risk population for COVID-19: multimorbidity characteristics of a European small Island state |
title_short | At-risk population for COVID-19: multimorbidity characteristics of a European small Island state |
title_sort | at-risk population for covid-19: multimorbidity characteristics of a european small island state |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816881/ https://www.ncbi.nlm.nih.gov/pubmed/33611169 http://dx.doi.org/10.1016/j.puhe.2020.12.012 |
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