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Influenza Vaccination Coverage among Older Adults with Hypertension in Shenzhen, China: A Cross-Sectional Survey during the COVID-19 Pandemic
Background: Older individuals with hypertension are at a high risk of being infected with influenza. However, there have been few studies investigating the influenza vaccination status among older people with hypertension. The present work aimed to estimate the vaccination coverage and determine the...
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Published in: | Vaccines (Basel) 2021-09, Vol.9 (10), p.1105 |
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description | Background: Older individuals with hypertension are at a high risk of being infected with influenza. However, there have been few studies investigating the influenza vaccination status among older people with hypertension. The present work aimed to estimate the vaccination coverage and determine the predictors of seasonal influenza vaccinations among hypertensive patients aged over 60 years in Shenzhen, China. Method: The study used data from an online cross-sectional survey that was conducted in Shenzhen City, China, in October 2020. Frequencies and proportions of all the variables including sociodemographic characteristics and health-related information were described and tabulated based on the influenza vaccination status. Bivariate and multivariable logistic regression analyses were used to identify independent predictors associated with the influenza vaccination. Results: A total of 5216 older people with hypertension aged above 60 years were recruited. Overall, only 4.7% had received an influenza vaccine in the latest influenza season. Using the action toward being vaccinated as the primary outcome, the multivariable regression analysis showed that participants aged over 80 years (aOR 2.957, 95% CI: 1.784–4.900), obtaining higher education levels (aOR 1.424, 95% CI: 1.060–1.914 for high school, aOR 1.681, 95% CI: 1.066–2.650 for college or above), living with a partner (aOR 1.432, 95% CI: 1.068–1.920), using a family doctor (aOR 2.275, 95% CI: 1.744–2.968), and taking a physical examination 1–2 and ≥3 times each year (aOR 2.107, 95% CI: 1.601–2.772 and aOR 2.118, 95% CI: 1.083–4.143, respectively) were more likely to be vaccinated. In contrast, smokers had less likelihood of having the influenza vaccination than non-smokers (aOR 1.829, 95% CI: 1.208–2.767). Conclusions: The coverage rate of influenza vaccinations is far away from optimistic among older adults with hypertension. Additional works should be undertaken immediately to improve the influenza vaccination status. |
doi_str_mv | 10.3390/vaccines9101105 |
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However, there have been few studies investigating the influenza vaccination status among older people with hypertension. The present work aimed to estimate the vaccination coverage and determine the predictors of seasonal influenza vaccinations among hypertensive patients aged over 60 years in Shenzhen, China. Method: The study used data from an online cross-sectional survey that was conducted in Shenzhen City, China, in October 2020. Frequencies and proportions of all the variables including sociodemographic characteristics and health-related information were described and tabulated based on the influenza vaccination status. Bivariate and multivariable logistic regression analyses were used to identify independent predictors associated with the influenza vaccination. Results: A total of 5216 older people with hypertension aged above 60 years were recruited. Overall, only 4.7% had received an influenza vaccine in the latest influenza season. Using the action toward being vaccinated as the primary outcome, the multivariable regression analysis showed that participants aged over 80 years (aOR 2.957, 95% CI: 1.784–4.900), obtaining higher education levels (aOR 1.424, 95% CI: 1.060–1.914 for high school, aOR 1.681, 95% CI: 1.066–2.650 for college or above), living with a partner (aOR 1.432, 95% CI: 1.068–1.920), using a family doctor (aOR 2.275, 95% CI: 1.744–2.968), and taking a physical examination 1–2 and ≥3 times each year (aOR 2.107, 95% CI: 1.601–2.772 and aOR 2.118, 95% CI: 1.083–4.143, respectively) were more likely to be vaccinated. In contrast, smokers had less likelihood of having the influenza vaccination than non-smokers (aOR 1.829, 95% CI: 1.208–2.767). Conclusions: The coverage rate of influenza vaccinations is far away from optimistic among older adults with hypertension. Additional works should be undertaken immediately to improve the influenza vaccination status.</description><identifier>ISSN: 2076-393X</identifier><identifier>EISSN: 2076-393X</identifier><identifier>DOI: 10.3390/vaccines9101105</identifier><identifier>PMID: 34696213</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Adults ; Bivariate analysis ; Blood pressure ; Coronaviruses ; COVID-19 ; COVID-19 vaccines ; Cross-sectional studies ; Disease control ; Education ; Family income ; Gender ; Health behavior ; Households ; Hypertension ; Infectious diseases ; Influenza ; influenza vaccination coverage ; Medical research ; Mortality ; older adults ; Older people ; Pandemics ; Pneumonia ; Polls & surveys ; Public health ; Questionnaires ; Regression analysis ; Smoking ; Sociodemographics ; Vaccination ; Variables</subject><ispartof>Vaccines (Basel), 2021-09, Vol.9 (10), p.1105</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c464t-a4e21563daf2d8cee27a6d2ae2347041263710334568b0a92b52680f3ec046993</citedby><cites>FETCH-LOGICAL-c464t-a4e21563daf2d8cee27a6d2ae2347041263710334568b0a92b52680f3ec046993</cites><orcidid>0000-0002-2474-6697 ; 0000-0003-0059-2440</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2584479143/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2584479143?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25732,27903,27904,36991,36992,38495,43874,44569,53769,53771,74158,74872</link.rule.ids></links><search><creatorcontrib>Li, Qiushuang</creatorcontrib><creatorcontrib>Zhang, Minyi</creatorcontrib><creatorcontrib>Chen, Hongbiao</creatorcontrib><creatorcontrib>Wu, Fei</creatorcontrib><creatorcontrib>Xian, Juxian</creatorcontrib><creatorcontrib>Zheng, Liting</creatorcontrib><creatorcontrib>Liang, Minyi</creatorcontrib><creatorcontrib>Cao, He</creatorcontrib><creatorcontrib>Zhou, Xiaofeng</creatorcontrib><creatorcontrib>Gu, Zihao</creatorcontrib><creatorcontrib>Lin, Qihui</creatorcontrib><creatorcontrib>Chen, Qing</creatorcontrib><title>Influenza Vaccination Coverage among Older Adults with Hypertension in Shenzhen, China: A Cross-Sectional Survey during the COVID-19 Pandemic</title><title>Vaccines (Basel)</title><description>Background: Older individuals with hypertension are at a high risk of being infected with influenza. However, there have been few studies investigating the influenza vaccination status among older people with hypertension. The present work aimed to estimate the vaccination coverage and determine the predictors of seasonal influenza vaccinations among hypertensive patients aged over 60 years in Shenzhen, China. Method: The study used data from an online cross-sectional survey that was conducted in Shenzhen City, China, in October 2020. Frequencies and proportions of all the variables including sociodemographic characteristics and health-related information were described and tabulated based on the influenza vaccination status. Bivariate and multivariable logistic regression analyses were used to identify independent predictors associated with the influenza vaccination. Results: A total of 5216 older people with hypertension aged above 60 years were recruited. Overall, only 4.7% had received an influenza vaccine in the latest influenza season. Using the action toward being vaccinated as the primary outcome, the multivariable regression analysis showed that participants aged over 80 years (aOR 2.957, 95% CI: 1.784–4.900), obtaining higher education levels (aOR 1.424, 95% CI: 1.060–1.914 for high school, aOR 1.681, 95% CI: 1.066–2.650 for college or above), living with a partner (aOR 1.432, 95% CI: 1.068–1.920), using a family doctor (aOR 2.275, 95% CI: 1.744–2.968), and taking a physical examination 1–2 and ≥3 times each year (aOR 2.107, 95% CI: 1.601–2.772 and aOR 2.118, 95% CI: 1.083–4.143, respectively) were more likely to be vaccinated. In contrast, smokers had less likelihood of having the influenza vaccination than non-smokers (aOR 1.829, 95% CI: 1.208–2.767). Conclusions: The coverage rate of influenza vaccinations is far away from optimistic among older adults with hypertension. Additional works should be undertaken immediately to improve the influenza vaccination status.</description><subject>Adults</subject><subject>Bivariate analysis</subject><subject>Blood pressure</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 vaccines</subject><subject>Cross-sectional studies</subject><subject>Disease control</subject><subject>Education</subject><subject>Family income</subject><subject>Gender</subject><subject>Health behavior</subject><subject>Households</subject><subject>Hypertension</subject><subject>Infectious diseases</subject><subject>Influenza</subject><subject>influenza vaccination coverage</subject><subject>Medical research</subject><subject>Mortality</subject><subject>older adults</subject><subject>Older people</subject><subject>Pandemics</subject><subject>Pneumonia</subject><subject>Polls & surveys</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Smoking</subject><subject>Sociodemographics</subject><subject>Vaccination</subject><subject>Variables</subject><issn>2076-393X</issn><issn>2076-393X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdks-LEzEUgAdR3GXds9eAFw-Om1-TmXgQlll1CwsVqou3kEnetCnTpCYzlfo_-D-btou4GwgJLx9f3kteUbwm-D1jEl_ttDHOQ5IEE4KrZ8U5xbUomWQ_nv-3PysuU1rjPCRhjahfFmeMCykoYefFn5nvhwn8b43ujzo9uuBRG3YQ9RKQ3gS_RPPBQkTXdhrGhH65cYVu91uII_h0oJ1Hi1V25PkOtass-YCuURtDSuUCzMGoB7SY4g72yE7RZeW4AtTO72c3JZHoq_YWNs68Kl70ekhw-bBeFN8_f_rW3pZ38y-z9vquNFzwsdQcKKkEs7qntjEAtNbCUg2U8RpzQgWrCWaMV6LpsJa0q6hocM_A4Fy5ZBfF7OS1Qa_VNrqNjnsVtFPHQIhLpePozACq4mC7GmpWNx3vuNGyt9zU-S7TW9uz7Pp4cm2nbgPWgB-jHh5JH594t1LLsFNNxbFkNAvePghi-DlBGtXGJQPDoD2EKSlaNYJzWQue0TdP0HWYYn7cI8V5LQk_ZHR1oszhByL0_5IhWB06Rz3pHPYX-0e30Q</recordid><startdate>20210929</startdate><enddate>20210929</enddate><creator>Li, Qiushuang</creator><creator>Zhang, Minyi</creator><creator>Chen, Hongbiao</creator><creator>Wu, Fei</creator><creator>Xian, Juxian</creator><creator>Zheng, Liting</creator><creator>Liang, Minyi</creator><creator>Cao, He</creator><creator>Zhou, Xiaofeng</creator><creator>Gu, Zihao</creator><creator>Lin, Qihui</creator><creator>Chen, Qing</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T7</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2474-6697</orcidid><orcidid>https://orcid.org/0000-0003-0059-2440</orcidid></search><sort><creationdate>20210929</creationdate><title>Influenza Vaccination Coverage among Older Adults with Hypertension in Shenzhen, China: A Cross-Sectional Survey during the COVID-19 Pandemic</title><author>Li, Qiushuang ; Zhang, Minyi ; Chen, Hongbiao ; Wu, Fei ; Xian, Juxian ; Zheng, Liting ; Liang, Minyi ; Cao, He ; Zhou, Xiaofeng ; Gu, Zihao ; Lin, Qihui ; Chen, Qing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c464t-a4e21563daf2d8cee27a6d2ae2347041263710334568b0a92b52680f3ec046993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adults</topic><topic>Bivariate analysis</topic><topic>Blood pressure</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 vaccines</topic><topic>Cross-sectional studies</topic><topic>Disease control</topic><topic>Education</topic><topic>Family income</topic><topic>Gender</topic><topic>Health behavior</topic><topic>Households</topic><topic>Hypertension</topic><topic>Infectious diseases</topic><topic>Influenza</topic><topic>influenza vaccination coverage</topic><topic>Medical research</topic><topic>Mortality</topic><topic>older adults</topic><topic>Older people</topic><topic>Pandemics</topic><topic>Pneumonia</topic><topic>Polls & surveys</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Smoking</topic><topic>Sociodemographics</topic><topic>Vaccination</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Qiushuang</creatorcontrib><creatorcontrib>Zhang, Minyi</creatorcontrib><creatorcontrib>Chen, Hongbiao</creatorcontrib><creatorcontrib>Wu, Fei</creatorcontrib><creatorcontrib>Xian, Juxian</creatorcontrib><creatorcontrib>Zheng, Liting</creatorcontrib><creatorcontrib>Liang, Minyi</creatorcontrib><creatorcontrib>Cao, He</creatorcontrib><creatorcontrib>Zhou, Xiaofeng</creatorcontrib><creatorcontrib>Gu, Zihao</creatorcontrib><creatorcontrib>Lin, Qihui</creatorcontrib><creatorcontrib>Chen, Qing</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Vaccines (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Qiushuang</au><au>Zhang, Minyi</au><au>Chen, Hongbiao</au><au>Wu, Fei</au><au>Xian, Juxian</au><au>Zheng, Liting</au><au>Liang, Minyi</au><au>Cao, He</au><au>Zhou, Xiaofeng</au><au>Gu, Zihao</au><au>Lin, Qihui</au><au>Chen, Qing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influenza Vaccination Coverage among Older Adults with Hypertension in Shenzhen, China: A Cross-Sectional Survey during the COVID-19 Pandemic</atitle><jtitle>Vaccines (Basel)</jtitle><date>2021-09-29</date><risdate>2021</risdate><volume>9</volume><issue>10</issue><spage>1105</spage><pages>1105-</pages><issn>2076-393X</issn><eissn>2076-393X</eissn><abstract>Background: Older individuals with hypertension are at a high risk of being infected with influenza. However, there have been few studies investigating the influenza vaccination status among older people with hypertension. The present work aimed to estimate the vaccination coverage and determine the predictors of seasonal influenza vaccinations among hypertensive patients aged over 60 years in Shenzhen, China. Method: The study used data from an online cross-sectional survey that was conducted in Shenzhen City, China, in October 2020. Frequencies and proportions of all the variables including sociodemographic characteristics and health-related information were described and tabulated based on the influenza vaccination status. Bivariate and multivariable logistic regression analyses were used to identify independent predictors associated with the influenza vaccination. Results: A total of 5216 older people with hypertension aged above 60 years were recruited. Overall, only 4.7% had received an influenza vaccine in the latest influenza season. Using the action toward being vaccinated as the primary outcome, the multivariable regression analysis showed that participants aged over 80 years (aOR 2.957, 95% CI: 1.784–4.900), obtaining higher education levels (aOR 1.424, 95% CI: 1.060–1.914 for high school, aOR 1.681, 95% CI: 1.066–2.650 for college or above), living with a partner (aOR 1.432, 95% CI: 1.068–1.920), using a family doctor (aOR 2.275, 95% CI: 1.744–2.968), and taking a physical examination 1–2 and ≥3 times each year (aOR 2.107, 95% CI: 1.601–2.772 and aOR 2.118, 95% CI: 1.083–4.143, respectively) were more likely to be vaccinated. In contrast, smokers had less likelihood of having the influenza vaccination than non-smokers (aOR 1.829, 95% CI: 1.208–2.767). Conclusions: The coverage rate of influenza vaccinations is far away from optimistic among older adults with hypertension. Additional works should be undertaken immediately to improve the influenza vaccination status.</abstract><cop>Basel</cop><pub>MDPI AG</pub><pmid>34696213</pmid><doi>10.3390/vaccines9101105</doi><orcidid>https://orcid.org/0000-0002-2474-6697</orcidid><orcidid>https://orcid.org/0000-0003-0059-2440</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adults Bivariate analysis Blood pressure Coronaviruses COVID-19 COVID-19 vaccines Cross-sectional studies Disease control Education Family income Gender Health behavior Households Hypertension Infectious diseases Influenza influenza vaccination coverage Medical research Mortality older adults Older people Pandemics Pneumonia Polls & surveys Public health Questionnaires Regression analysis Smoking Sociodemographics Vaccination Variables |
title | Influenza Vaccination Coverage among Older Adults with Hypertension in Shenzhen, China: A Cross-Sectional Survey during the COVID-19 Pandemic |
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