Cargando…

Associations between underlying diseases with COVID-19 and its symptoms among adults: a cross-sectional study

BACKGROUND: Specific underlying diseases were reported to be associated with severe COVID-19 outcomes, but little is known about their combined associations. The study was aimed to assess the relations of number of and specific underlying diseases to COVID-19, severe symptoms, loss of smell, and los...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Binghan, Yuan, Shuyan, Ruan, Shuke, Ning, Xiuyuan, Li, Hanrui, Liu, Yuanhao, Li, Xiuyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298173/
https://www.ncbi.nlm.nih.gov/pubmed/37383271
http://dx.doi.org/10.3389/fpubh.2023.1210800
_version_ 1785064050306056192
author Wang, Binghan
Yuan, Shuyan
Ruan, Shuke
Ning, Xiuyuan
Li, Hanrui
Liu, Yuanhao
Li, Xiuyang
author_facet Wang, Binghan
Yuan, Shuyan
Ruan, Shuke
Ning, Xiuyuan
Li, Hanrui
Liu, Yuanhao
Li, Xiuyang
author_sort Wang, Binghan
collection PubMed
description BACKGROUND: Specific underlying diseases were reported to be associated with severe COVID-19 outcomes, but little is known about their combined associations. The study was aimed to assess the relations of number of and specific underlying diseases to COVID-19, severe symptoms, loss of smell, and loss of taste. METHODS: A total of 28,204 adult participants in the National Health Interview Survey 2021 were included. Underlying diseases (including cardiovascular diseases, cancer, endocrine diseases, respiratory diseases, neuropsychiatric diseases, liver and kidney diseases, fatigue syndrome, and sensory impairments), the history of COVID-19, and its symptoms were self-reported by structured questionnaires. Multivariable logistic regression models were used to assess the combined relation of total number of underlying diseases to COVID-19 and its symptoms, while mutually adjusted logistic models were used to examine their independent associations. RESULTS: Among the 28,204 participants (mean ± standard deviation: 48.2 ± 18.5 years), each additional underlying disease was related to 33, 20, 37, and 39% higher odds of COVID-19 (odds ratio [OR]: 1.33, 95% confidence interval [CI]: 1.29–1.37), severe symptoms (OR: 1.20, 95% CI: 1.12–1.29), loss of smell (OR: 1.37, 95% CI: 1.29–1.46), and loss of taste (OR: 1.39, 95% CI: 1.31–1.49). In addition, independent associations of sensory impairments with COVID-19 (OR: 3.73, 95% CI: 3.44–4.05), severe symptoms (OR: 1.37, 95% CI: 1.13–1.67), loss of smell (OR: 8.17, 95% CI: 6.86–9.76), and loss of taste (OR: 6.13, 95% CI: 5.19–7.25), cardiovascular diseases with COVID-19 (OR: 1.13, 95% CI: 1.03–1.24), neuropsychiatric diseases with severe symptoms (OR: 1.41, 95% CI: 1.15–1.74), and endocrine diseases with loss of taste (OR: 1.28, 95% CI: 1.05–1.56) were observed. CONCLUSION: A larger number of underlying diseases were related to higher odds of COVID-19, severe symptoms, loss of smell, and loss of taste in a dose–response manner. Specific underlying diseases might be individually associated with COVID-19 and its symptoms.
format Online
Article
Text
id pubmed-10298173
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-102981732023-06-28 Associations between underlying diseases with COVID-19 and its symptoms among adults: a cross-sectional study Wang, Binghan Yuan, Shuyan Ruan, Shuke Ning, Xiuyuan Li, Hanrui Liu, Yuanhao Li, Xiuyang Front Public Health Public Health BACKGROUND: Specific underlying diseases were reported to be associated with severe COVID-19 outcomes, but little is known about their combined associations. The study was aimed to assess the relations of number of and specific underlying diseases to COVID-19, severe symptoms, loss of smell, and loss of taste. METHODS: A total of 28,204 adult participants in the National Health Interview Survey 2021 were included. Underlying diseases (including cardiovascular diseases, cancer, endocrine diseases, respiratory diseases, neuropsychiatric diseases, liver and kidney diseases, fatigue syndrome, and sensory impairments), the history of COVID-19, and its symptoms were self-reported by structured questionnaires. Multivariable logistic regression models were used to assess the combined relation of total number of underlying diseases to COVID-19 and its symptoms, while mutually adjusted logistic models were used to examine their independent associations. RESULTS: Among the 28,204 participants (mean ± standard deviation: 48.2 ± 18.5 years), each additional underlying disease was related to 33, 20, 37, and 39% higher odds of COVID-19 (odds ratio [OR]: 1.33, 95% confidence interval [CI]: 1.29–1.37), severe symptoms (OR: 1.20, 95% CI: 1.12–1.29), loss of smell (OR: 1.37, 95% CI: 1.29–1.46), and loss of taste (OR: 1.39, 95% CI: 1.31–1.49). In addition, independent associations of sensory impairments with COVID-19 (OR: 3.73, 95% CI: 3.44–4.05), severe symptoms (OR: 1.37, 95% CI: 1.13–1.67), loss of smell (OR: 8.17, 95% CI: 6.86–9.76), and loss of taste (OR: 6.13, 95% CI: 5.19–7.25), cardiovascular diseases with COVID-19 (OR: 1.13, 95% CI: 1.03–1.24), neuropsychiatric diseases with severe symptoms (OR: 1.41, 95% CI: 1.15–1.74), and endocrine diseases with loss of taste (OR: 1.28, 95% CI: 1.05–1.56) were observed. CONCLUSION: A larger number of underlying diseases were related to higher odds of COVID-19, severe symptoms, loss of smell, and loss of taste in a dose–response manner. Specific underlying diseases might be individually associated with COVID-19 and its symptoms. Frontiers Media S.A. 2023-06-13 /pmc/articles/PMC10298173/ /pubmed/37383271 http://dx.doi.org/10.3389/fpubh.2023.1210800 Text en Copyright © 2023 Wang, Yuan, Ruan, Ning, Li, Liu and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Wang, Binghan
Yuan, Shuyan
Ruan, Shuke
Ning, Xiuyuan
Li, Hanrui
Liu, Yuanhao
Li, Xiuyang
Associations between underlying diseases with COVID-19 and its symptoms among adults: a cross-sectional study
title Associations between underlying diseases with COVID-19 and its symptoms among adults: a cross-sectional study
title_full Associations between underlying diseases with COVID-19 and its symptoms among adults: a cross-sectional study
title_fullStr Associations between underlying diseases with COVID-19 and its symptoms among adults: a cross-sectional study
title_full_unstemmed Associations between underlying diseases with COVID-19 and its symptoms among adults: a cross-sectional study
title_short Associations between underlying diseases with COVID-19 and its symptoms among adults: a cross-sectional study
title_sort associations between underlying diseases with covid-19 and its symptoms among adults: a cross-sectional study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298173/
https://www.ncbi.nlm.nih.gov/pubmed/37383271
http://dx.doi.org/10.3389/fpubh.2023.1210800
work_keys_str_mv AT wangbinghan associationsbetweenunderlyingdiseaseswithcovid19anditssymptomsamongadultsacrosssectionalstudy
AT yuanshuyan associationsbetweenunderlyingdiseaseswithcovid19anditssymptomsamongadultsacrosssectionalstudy
AT ruanshuke associationsbetweenunderlyingdiseaseswithcovid19anditssymptomsamongadultsacrosssectionalstudy
AT ningxiuyuan associationsbetweenunderlyingdiseaseswithcovid19anditssymptomsamongadultsacrosssectionalstudy
AT lihanrui associationsbetweenunderlyingdiseaseswithcovid19anditssymptomsamongadultsacrosssectionalstudy
AT liuyuanhao associationsbetweenunderlyingdiseaseswithcovid19anditssymptomsamongadultsacrosssectionalstudy
AT lixiuyang associationsbetweenunderlyingdiseaseswithcovid19anditssymptomsamongadultsacrosssectionalstudy