Associations between lifestyle factors and COVID-19 infection rates: a cross-sectional analysis in the USA
IntroductionThe COVID-19 pandemic has underscored the vital connection between lifestyle factors and health outcomes, highlighting the need to understand how lifestyle choices influence both chronic and infectious diseases. Despite known links between lifestyle factors and chronic diseases, the rela...
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| Veröffentlicht in: | BMJ public health 2024-04, Vol.2 (1), p.e000906 |
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| creator | Shaheen, Razaz Beeson, W Lawrence Paalani, Michael Dos Santos, Hildemar Alismail, Abdullah Spencer-Hwang, Rhonda K |
| description | IntroductionThe COVID-19 pandemic has underscored the vital connection between lifestyle factors and health outcomes, highlighting the need to understand how lifestyle choices influence both chronic and infectious diseases. Despite known links between lifestyle factors and chronic diseases, the relationship between these factors and infectious diseases like COVID-19 warrants further investigation.MethodsThis cross-sectional study used an anonymous survey collected from a diverse sample of US residents aged 18 or older. Excluding individuals under 18 or residing outside the USA, the survey captured data on diet, body mass index, smoking status, alcohol consumption, physical activity, sleep duration, COVID-19 infection status, socio-demographics and other potential confounders. Statistical analysis was performed using χ2 tests and logistic regression to explore the associations between lifestyle factors and COVID-19 infection, with a particular focus on gender differences.ResultsAmong 1032 participants, the prevalence of COVID-19 was higher in women (42.8%) compared with men (32.0%). Significant associations were found between inadequate sleep (less than 4 hours per day) and increased risk of COVID-19 in both genders (OR=2.89, 95% CI: 1.13 to 7.35, p=0.02 for men; OR=5.69, 95% CI: 3.14 to 10.29, p |
| doi_str_mv | 10.1136/bmjph-2024-000906 |
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Despite known links between lifestyle factors and chronic diseases, the relationship between these factors and infectious diseases like COVID-19 warrants further investigation.MethodsThis cross-sectional study used an anonymous survey collected from a diverse sample of US residents aged 18 or older. Excluding individuals under 18 or residing outside the USA, the survey captured data on diet, body mass index, smoking status, alcohol consumption, physical activity, sleep duration, COVID-19 infection status, socio-demographics and other potential confounders. Statistical analysis was performed using χ2 tests and logistic regression to explore the associations between lifestyle factors and COVID-19 infection, with a particular focus on gender differences.ResultsAmong 1032 participants, the prevalence of COVID-19 was higher in women (42.8%) compared with men (32.0%). Significant associations were found between inadequate sleep (less than 4 hours per day) and increased risk of COVID-19 in both genders (OR=2.89, 95% CI: 1.13 to 7.35, p=0.02 for men; OR=5.69, 95% CI: 3.14 to 10.29, p<0.00 for women). Additionally, a significant association was observed between a lifestyle index, incorporating multiple lifestyle factors and COVID-19 infection in women (OR=1.79, 95% CI: 1.05 to 3.025, p=0.03).ConclusionsThe findings indicate a potential link between lifestyle factors and susceptibility to COVID-19, with inadequate sleep identified as a significant risk factor. These results suggest that promoting a healthy lifestyle could be an effective strategy for controlling the pandemic and mitigating the impact of infectious diseases. Further research is recommended to explore the role of restful sleep in preventing COVID-19 for men and women (including multiple lifestyle factors among women).</description><identifier>ISSN: 2753-4294</identifier><identifier>EISSN: 2753-4294</identifier><identifier>DOI: 10.1136/bmjph-2024-000906</identifier><language>eng</language><publisher>BMJ Publishing Group Ltd</publisher><subject>Community Health ; COVID-19 ; Infectious Disease Incubation Period ; Original research ; Public Health</subject><ispartof>BMJ public health, 2024-04, Vol.2 (1), p.e000906</ispartof><rights>Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. Published by BMJ.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-b1896-e700f4f40de7601b6c38460532c1ace01cea3243a9e5e1591a814efda50a4d7b3</cites><orcidid>0000-0002-7844-8943 ; 0000-0003-4826-8383</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://bmjpublichealth.bmj.com/content/2/1/e000906.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://bmjpublichealth.bmj.com/content/2/1/e000906.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2102,27924,27925,55350,77532,77558</link.rule.ids></links><search><creatorcontrib>Shaheen, Razaz</creatorcontrib><creatorcontrib>Beeson, W Lawrence</creatorcontrib><creatorcontrib>Paalani, Michael</creatorcontrib><creatorcontrib>Dos Santos, Hildemar</creatorcontrib><creatorcontrib>Alismail, Abdullah</creatorcontrib><creatorcontrib>Spencer-Hwang, Rhonda K</creatorcontrib><title>Associations between lifestyle factors and COVID-19 infection rates: a cross-sectional analysis in the USA</title><title>BMJ public health</title><addtitle>bmjph</addtitle><description>IntroductionThe COVID-19 pandemic has underscored the vital connection between lifestyle factors and health outcomes, highlighting the need to understand how lifestyle choices influence both chronic and infectious diseases. Despite known links between lifestyle factors and chronic diseases, the relationship between these factors and infectious diseases like COVID-19 warrants further investigation.MethodsThis cross-sectional study used an anonymous survey collected from a diverse sample of US residents aged 18 or older. Excluding individuals under 18 or residing outside the USA, the survey captured data on diet, body mass index, smoking status, alcohol consumption, physical activity, sleep duration, COVID-19 infection status, socio-demographics and other potential confounders. Statistical analysis was performed using χ2 tests and logistic regression to explore the associations between lifestyle factors and COVID-19 infection, with a particular focus on gender differences.ResultsAmong 1032 participants, the prevalence of COVID-19 was higher in women (42.8%) compared with men (32.0%). Significant associations were found between inadequate sleep (less than 4 hours per day) and increased risk of COVID-19 in both genders (OR=2.89, 95% CI: 1.13 to 7.35, p=0.02 for men; OR=5.69, 95% CI: 3.14 to 10.29, p<0.00 for women). Additionally, a significant association was observed between a lifestyle index, incorporating multiple lifestyle factors and COVID-19 infection in women (OR=1.79, 95% CI: 1.05 to 3.025, p=0.03).ConclusionsThe findings indicate a potential link between lifestyle factors and susceptibility to COVID-19, with inadequate sleep identified as a significant risk factor. These results suggest that promoting a healthy lifestyle could be an effective strategy for controlling the pandemic and mitigating the impact of infectious diseases. Further research is recommended to explore the role of restful sleep in preventing COVID-19 for men and women (including multiple lifestyle factors among women).</description><subject>Community Health</subject><subject>COVID-19</subject><subject>Infectious Disease Incubation Period</subject><subject>Original research</subject><subject>Public Health</subject><issn>2753-4294</issn><issn>2753-4294</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>DOA</sourceid><recordid>eNp9kMtOwzAQRS0EElXpB7DzDxjGsfNiV5VXJaQuoGytiTOmjtKmsoNQ_560QYgVqxnN3HtHcxi7lnAjpcpuq22z34gEEi0AoITsjE2SPFVCJ6U-_9NfslmMzaBRCvICkglr5jF21mPvu13kFfVfRDveekexP7TEHdq-C5HjruaL1fvyXsiS-50je3TwgD3FO47chi5GEccxtoMe20P0cdDyfkN8_Tq_YhcO20iznzpl68eHt8WzeFk9LRfzF1HJoswE5QBOOw015RnIKrOq0BmkKrESLYG0hCrRCktKSaalxEJqcjWmgLrOKzVlyzG37rAx--C3GA6mQ29Ogy58GAy9ty0ZqWpboAbrpNZJ6kqlijpPcejLSg53pkyOWaf_ArnfPAnmyN6c2JsjezOyHzxi9Awr03SfYUAR_9F_A3_XhgQ</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Shaheen, Razaz</creator><creator>Beeson, W Lawrence</creator><creator>Paalani, Michael</creator><creator>Dos Santos, Hildemar</creator><creator>Alismail, Abdullah</creator><creator>Spencer-Hwang, Rhonda K</creator><general>BMJ Publishing Group Ltd</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7844-8943</orcidid><orcidid>https://orcid.org/0000-0003-4826-8383</orcidid></search><sort><creationdate>20240401</creationdate><title>Associations between lifestyle factors and COVID-19 infection rates: a cross-sectional analysis in the USA</title><author>Shaheen, Razaz ; Beeson, W Lawrence ; Paalani, Michael ; Dos Santos, Hildemar ; Alismail, Abdullah ; Spencer-Hwang, Rhonda K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b1896-e700f4f40de7601b6c38460532c1ace01cea3243a9e5e1591a814efda50a4d7b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Community Health</topic><topic>COVID-19</topic><topic>Infectious Disease Incubation Period</topic><topic>Original research</topic><topic>Public Health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shaheen, Razaz</creatorcontrib><creatorcontrib>Beeson, W Lawrence</creatorcontrib><creatorcontrib>Paalani, Michael</creatorcontrib><creatorcontrib>Dos Santos, Hildemar</creatorcontrib><creatorcontrib>Alismail, Abdullah</creatorcontrib><creatorcontrib>Spencer-Hwang, Rhonda K</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMJ public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shaheen, Razaz</au><au>Beeson, W Lawrence</au><au>Paalani, Michael</au><au>Dos Santos, Hildemar</au><au>Alismail, Abdullah</au><au>Spencer-Hwang, Rhonda K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations between lifestyle factors and COVID-19 infection rates: a cross-sectional analysis in the USA</atitle><jtitle>BMJ public health</jtitle><stitle>bmjph</stitle><date>2024-04-01</date><risdate>2024</risdate><volume>2</volume><issue>1</issue><spage>e000906</spage><pages>e000906-</pages><issn>2753-4294</issn><eissn>2753-4294</eissn><abstract>IntroductionThe COVID-19 pandemic has underscored the vital connection between lifestyle factors and health outcomes, highlighting the need to understand how lifestyle choices influence both chronic and infectious diseases. Despite known links between lifestyle factors and chronic diseases, the relationship between these factors and infectious diseases like COVID-19 warrants further investigation.MethodsThis cross-sectional study used an anonymous survey collected from a diverse sample of US residents aged 18 or older. Excluding individuals under 18 or residing outside the USA, the survey captured data on diet, body mass index, smoking status, alcohol consumption, physical activity, sleep duration, COVID-19 infection status, socio-demographics and other potential confounders. Statistical analysis was performed using χ2 tests and logistic regression to explore the associations between lifestyle factors and COVID-19 infection, with a particular focus on gender differences.ResultsAmong 1032 participants, the prevalence of COVID-19 was higher in women (42.8%) compared with men (32.0%). Significant associations were found between inadequate sleep (less than 4 hours per day) and increased risk of COVID-19 in both genders (OR=2.89, 95% CI: 1.13 to 7.35, p=0.02 for men; OR=5.69, 95% CI: 3.14 to 10.29, p<0.00 for women). Additionally, a significant association was observed between a lifestyle index, incorporating multiple lifestyle factors and COVID-19 infection in women (OR=1.79, 95% CI: 1.05 to 3.025, p=0.03).ConclusionsThe findings indicate a potential link between lifestyle factors and susceptibility to COVID-19, with inadequate sleep identified as a significant risk factor. These results suggest that promoting a healthy lifestyle could be an effective strategy for controlling the pandemic and mitigating the impact of infectious diseases. Further research is recommended to explore the role of restful sleep in preventing COVID-19 for men and women (including multiple lifestyle factors among women).</abstract><pub>BMJ Publishing Group Ltd</pub><doi>10.1136/bmjph-2024-000906</doi><orcidid>https://orcid.org/0000-0002-7844-8943</orcidid><orcidid>https://orcid.org/0000-0003-4826-8383</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Community Health COVID-19 Infectious Disease Incubation Period Original research Public Health |
| title | Associations between lifestyle factors and COVID-19 infection rates: a cross-sectional analysis in the USA |
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