Factors associated to vaccination against influenza among elderly in a large Brazilian metropolis
This study aimed to estimate coverage and identify factors associated to vaccination against influenza in the elderly population. The study design was cross-sectional and population based. Data was collected in 2010 by the Health, Well-Being and Aging Study. Sample consisted of 1,341 community-dwell...
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| Veröffentlicht in: | PloS one 2015-04, Vol.10 (4), p.e0123840-e0123840 |
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| creator | Sato, Ana Paula Sayuri Antunes, José Leopoldo Ferreira Moura, Roudom Ferreira de Andrade, Fabíola Bof Duarte, Yeda Aparecida Oliveira Lebrão, Maria Lúcia |
| description | This study aimed to estimate coverage and identify factors associated to vaccination against influenza in the elderly population.
The study design was cross-sectional and population based. Data was collected in 2010 by the Health, Well-Being and Aging Study. Sample consisted of 1,341 community-dwelling elderly, in São Paulo, Brazil. Association between vaccination and covariates was evaluated by means of prevalence ratios estimated by Poisson regression models.
Self-reported vaccination coverage was 74.2% (95% confidence interval: 71.3-76.9). Remaining physically active and having had recent interaction with health services, mainly with public units of healthcare, were the main incentives to increase vaccination coverage among the elderly; whereas lower age, living alone and absent interaction with health services were the main constraints to influenza vaccination at the community level. These covariates had already been reported to influence influenza vaccination of elders in previous years.
Previous knowledge already available on the main constraints to influenza vaccination has not allowed to remove them. Influenza campaigns should be strengthened to increase vaccination coverage, especially in the group more reticent to vaccination. Instructing healthcare providers to recommend vaccine uptake is an important piece of this puzzle. |
| doi_str_mv | 10.1371/journal.pone.0123840 |
| format | Article |
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The study design was cross-sectional and population based. Data was collected in 2010 by the Health, Well-Being and Aging Study. Sample consisted of 1,341 community-dwelling elderly, in São Paulo, Brazil. Association between vaccination and covariates was evaluated by means of prevalence ratios estimated by Poisson regression models.
Self-reported vaccination coverage was 74.2% (95% confidence interval: 71.3-76.9). Remaining physically active and having had recent interaction with health services, mainly with public units of healthcare, were the main incentives to increase vaccination coverage among the elderly; whereas lower age, living alone and absent interaction with health services were the main constraints to influenza vaccination at the community level. These covariates had already been reported to influence influenza vaccination of elders in previous years.
Previous knowledge already available on the main constraints to influenza vaccination has not allowed to remove them. Influenza campaigns should be strengthened to increase vaccination coverage, especially in the group more reticent to vaccination. Instructing healthcare providers to recommend vaccine uptake is an important piece of this puzzle.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0123840</identifier><identifier>PMID: 25874953</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Aging ; Brazil ; Cohort Studies ; Communities ; Confidence intervals ; Cross-Sectional Studies ; Delivery of Health Care - statistics & numerical data ; Female ; Geriatrics ; Health Behavior ; Health care ; Health care industry ; Health Services Accessibility ; Humans ; Incentives ; Influenza ; Influenza vaccines ; Influenza Vaccines - therapeutic use ; Influenza, Human - prevention & control ; Male ; Middle Aged ; Older people ; Poisson density functions ; Poisson Distribution ; Population studies ; Prevalence ; Regression analysis ; Regression models ; Social Class ; Statistical analysis ; Vaccination ; Vaccination - statistics & numerical data</subject><ispartof>PloS one, 2015-04, Vol.10 (4), p.e0123840-e0123840</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Sato et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Sato et al 2015 Sato et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-a0de8a698ccb2907ce18aee33072ac91324b23803cc5b33e533076a4920284983</citedby><cites>FETCH-LOGICAL-c692t-a0de8a698ccb2907ce18aee33072ac91324b23803cc5b33e533076a4920284983</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395161/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395161/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25874953$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sato, Ana Paula Sayuri</creatorcontrib><creatorcontrib>Antunes, José Leopoldo Ferreira</creatorcontrib><creatorcontrib>Moura, Roudom Ferreira</creatorcontrib><creatorcontrib>de Andrade, Fabíola Bof</creatorcontrib><creatorcontrib>Duarte, Yeda Aparecida Oliveira</creatorcontrib><creatorcontrib>Lebrão, Maria Lúcia</creatorcontrib><title>Factors associated to vaccination against influenza among elderly in a large Brazilian metropolis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>This study aimed to estimate coverage and identify factors associated to vaccination against influenza in the elderly population.
The study design was cross-sectional and population based. Data was collected in 2010 by the Health, Well-Being and Aging Study. Sample consisted of 1,341 community-dwelling elderly, in São Paulo, Brazil. Association between vaccination and covariates was evaluated by means of prevalence ratios estimated by Poisson regression models.
Self-reported vaccination coverage was 74.2% (95% confidence interval: 71.3-76.9). Remaining physically active and having had recent interaction with health services, mainly with public units of healthcare, were the main incentives to increase vaccination coverage among the elderly; whereas lower age, living alone and absent interaction with health services were the main constraints to influenza vaccination at the community level. These covariates had already been reported to influence influenza vaccination of elders in previous years.
Previous knowledge already available on the main constraints to influenza vaccination has not allowed to remove them. Influenza campaigns should be strengthened to increase vaccination coverage, especially in the group more reticent to vaccination. Instructing healthcare providers to recommend vaccine uptake is an important piece of this puzzle.</description><subject>Aged</subject><subject>Aging</subject><subject>Brazil</subject><subject>Cohort Studies</subject><subject>Communities</subject><subject>Confidence intervals</subject><subject>Cross-Sectional Studies</subject><subject>Delivery of Health Care - statistics & numerical data</subject><subject>Female</subject><subject>Geriatrics</subject><subject>Health Behavior</subject><subject>Health care</subject><subject>Health care industry</subject><subject>Health Services Accessibility</subject><subject>Humans</subject><subject>Incentives</subject><subject>Influenza</subject><subject>Influenza vaccines</subject><subject>Influenza Vaccines - therapeutic use</subject><subject>Influenza, Human - prevention & control</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Older people</subject><subject>Poisson density functions</subject><subject>Poisson Distribution</subject><subject>Population studies</subject><subject>Prevalence</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Social Class</subject><subject>Statistical analysis</subject><subject>Vaccination</subject><subject>Vaccination - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sato, Ana Paula Sayuri</au><au>Antunes, José Leopoldo Ferreira</au><au>Moura, Roudom Ferreira</au><au>de Andrade, Fabíola Bof</au><au>Duarte, Yeda Aparecida Oliveira</au><au>Lebrão, Maria Lúcia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors associated to vaccination against influenza among elderly in a large Brazilian metropolis</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-04-13</date><risdate>2015</risdate><volume>10</volume><issue>4</issue><spage>e0123840</spage><epage>e0123840</epage><pages>e0123840-e0123840</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>This study aimed to estimate coverage and identify factors associated to vaccination against influenza in the elderly population.
The study design was cross-sectional and population based. Data was collected in 2010 by the Health, Well-Being and Aging Study. Sample consisted of 1,341 community-dwelling elderly, in São Paulo, Brazil. Association between vaccination and covariates was evaluated by means of prevalence ratios estimated by Poisson regression models.
Self-reported vaccination coverage was 74.2% (95% confidence interval: 71.3-76.9). Remaining physically active and having had recent interaction with health services, mainly with public units of healthcare, were the main incentives to increase vaccination coverage among the elderly; whereas lower age, living alone and absent interaction with health services were the main constraints to influenza vaccination at the community level. These covariates had already been reported to influence influenza vaccination of elders in previous years.
Previous knowledge already available on the main constraints to influenza vaccination has not allowed to remove them. Influenza campaigns should be strengthened to increase vaccination coverage, especially in the group more reticent to vaccination. Instructing healthcare providers to recommend vaccine uptake is an important piece of this puzzle.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25874953</pmid><doi>10.1371/journal.pone.0123840</doi><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Aged Aging Brazil Cohort Studies Communities Confidence intervals Cross-Sectional Studies Delivery of Health Care - statistics & numerical data Female Geriatrics Health Behavior Health care Health care industry Health Services Accessibility Humans Incentives Influenza Influenza vaccines Influenza Vaccines - therapeutic use Influenza, Human - prevention & control Male Middle Aged Older people Poisson density functions Poisson Distribution Population studies Prevalence Regression analysis Regression models Social Class Statistical analysis Vaccination Vaccination - statistics & numerical data |
| title | Factors associated to vaccination against influenza among elderly in a large Brazilian metropolis |
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