A Meta-Analysis of the Association between Gender and Protective Behaviors in Response to Respiratory Epidemics and Pandemics
Respiratory infectious disease epidemics and pandemics are recurring events that levy a high cost on individuals and society. The health-protective behavioral response of the public plays an important role in limiting respiratory infectious disease spread. Health-protective behaviors take several fo...
Gespeichert in:
Veröffentlicht in: | PloS one 2016-10, Vol.11 (10), p.e0164541-e0164541 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e0164541 |
---|---|
container_issue | 10 |
container_start_page | e0164541 |
container_title | PloS one |
container_volume | 11 |
creator | Moran, Kelly R Del Valle, Sara Y |
description | Respiratory infectious disease epidemics and pandemics are recurring events that levy a high cost on individuals and society. The health-protective behavioral response of the public plays an important role in limiting respiratory infectious disease spread. Health-protective behaviors take several forms. Behaviors can be categorized as pharmaceutical (e.g., vaccination uptake, antiviral use) or non-pharmaceutical (e.g., hand washing, face mask use, avoidance of public transport). Due to the limitations of pharmaceutical interventions during respiratory epidemics and pandemics, public health campaigns aimed at limiting disease spread often emphasize both non-pharmaceutical and pharmaceutical behavioral interventions. Understanding the determinants of the public's behavioral response is crucial for devising public health campaigns, providing information to parametrize mathematical models, and ultimately limiting disease spread. While other reviews have qualitatively analyzed the body of work on demographic determinants of health-protective behavior, this meta-analysis quantitatively combines the results from 85 publications to determine the global relationship between gender and health-protective behavioral response. The results show that women in the general population are about 50% more likely than men to adopt/practice non-pharmaceutical behaviors. Conversely, men in the general population are marginally (about 12%) more likely than women to adopt/practice pharmaceutical behaviors. It is possible that factors other than pharmaceutical/non-pharmaceutical status not included in this analysis act as moderators of this relationship. These results suggest an inherent difference in how men and women respond to epidemic and pandemic respiratory infectious diseases. This information can be used to target specific groups when developing non-pharmaceutical public health campaigns and to parameterize epidemic models incorporating demographic information. |
doi_str_mv | 10.1371/journal.pone.0164541 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1830873972</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A471896262</galeid><doaj_id>oai_doaj_org_article_490ab7ea1e4d470f9531fb0196b83d89</doaj_id><sourcerecordid>A471896262</sourcerecordid><originalsourceid>FETCH-LOGICAL-c725t-ba3504451bac1a884fc224e5f7f26a84706611bf814ffecd07ee0da36ca033453</originalsourceid><addsrcrecordid>eNqNk11v0zAUhiMEYmPwDxBYQkJw0WLHX8kNUpnGqDQ0ND5uLcc5bj2lcWe7hV7w33E_NrVoF1OkxLGf9_XxOT5F8ZLgIaGSfLj2i9Drbjj3PQwxEYwz8qg4JjUtB6LE9PHe-Kh4FuM1xpxWQjwtjkopRSUxOy7-jtBXSHowylar6CLyFqUpoFGM3jidnO9RA-k3QI_OoW8hIN236FvwCUxyS0CfYKqXzoeIXI-uIOZ4IqDkN2MXdPJhhc7mroWZM3Grzq_N3_PiidVdhBe770nx8_PZj9Mvg4vL8_Hp6GJgZMnToNGUY8Y4abQhuqqYNWXJgFtpS6ErJrEQhDS2IsxaMC2WALjVVBiNKWWcnhSvt77zzke1y1xUpKK4krSWZSbGW6L1-lrNg5vpsFJeO7WZ8GGidEjOdKBYjXUjQRNgbd7a1pwS22BSi6aibVVnr4-73RbNDFoDfQq6OzA9XOndVE38UnEsGZc0G7zbGQR_s4CY1MxFA12ne_CLTdySYszEg1DOCS_rNfrmP_T-ROyoic5ndb31OUSzNlUjJklVi1KsqeE9VH42dc030ro8fyB4fyDITII_aaIXMarx96uHs5e_Dtm3e-wUdJem0XeL9cWNhyDbgib4GAPYu3oQrNYNdZsNtW4otWuoLHu1X8s70W0H0X_H3RsJ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1830873972</pqid></control><display><type>article</type><title>A Meta-Analysis of the Association between Gender and Protective Behaviors in Response to Respiratory Epidemics and Pandemics</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Moran, Kelly R ; Del Valle, Sara Y</creator><creatorcontrib>Moran, Kelly R ; Del Valle, Sara Y</creatorcontrib><description>Respiratory infectious disease epidemics and pandemics are recurring events that levy a high cost on individuals and society. The health-protective behavioral response of the public plays an important role in limiting respiratory infectious disease spread. Health-protective behaviors take several forms. Behaviors can be categorized as pharmaceutical (e.g., vaccination uptake, antiviral use) or non-pharmaceutical (e.g., hand washing, face mask use, avoidance of public transport). Due to the limitations of pharmaceutical interventions during respiratory epidemics and pandemics, public health campaigns aimed at limiting disease spread often emphasize both non-pharmaceutical and pharmaceutical behavioral interventions. Understanding the determinants of the public's behavioral response is crucial for devising public health campaigns, providing information to parametrize mathematical models, and ultimately limiting disease spread. While other reviews have qualitatively analyzed the body of work on demographic determinants of health-protective behavior, this meta-analysis quantitatively combines the results from 85 publications to determine the global relationship between gender and health-protective behavioral response. The results show that women in the general population are about 50% more likely than men to adopt/practice non-pharmaceutical behaviors. Conversely, men in the general population are marginally (about 12%) more likely than women to adopt/practice pharmaceutical behaviors. It is possible that factors other than pharmaceutical/non-pharmaceutical status not included in this analysis act as moderators of this relationship. These results suggest an inherent difference in how men and women respond to epidemic and pandemic respiratory infectious diseases. This information can be used to target specific groups when developing non-pharmaceutical public health campaigns and to parameterize epidemic models incorporating demographic information.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0164541</identifier><identifier>PMID: 27768704</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Antiviral agents ; Biology and Life Sciences ; Communicable diseases ; Constraining ; Demographics ; Determinants ; Disease control ; Disease spread ; Disease transmission ; Epidemics ; Female ; Humans ; Hygiene ; Immunization ; Infectious diseases ; Male ; Mathematical models ; Medicine and Health Sciences ; Men ; Meta-analysis ; Moderators ; Pandemics ; People and Places ; Pharmaceuticals ; Physical Sciences ; Protective behavior ; Protective equipment ; Public health ; Public transportation ; Research and Analysis Methods ; Respiratory Tract Diseases - epidemiology ; Reviews ; Swine flu ; Vaccination ; Vaccines</subject><ispartof>PloS one, 2016-10, Vol.11 (10), p.e0164541-e0164541</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-ba3504451bac1a884fc224e5f7f26a84706611bf814ffecd07ee0da36ca033453</citedby><cites>FETCH-LOGICAL-c725t-ba3504451bac1a884fc224e5f7f26a84706611bf814ffecd07ee0da36ca033453</cites><orcidid>0000-0003-3551-2885</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074573/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074573/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27768704$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Moran, Kelly R</creatorcontrib><creatorcontrib>Del Valle, Sara Y</creatorcontrib><title>A Meta-Analysis of the Association between Gender and Protective Behaviors in Response to Respiratory Epidemics and Pandemics</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Respiratory infectious disease epidemics and pandemics are recurring events that levy a high cost on individuals and society. The health-protective behavioral response of the public plays an important role in limiting respiratory infectious disease spread. Health-protective behaviors take several forms. Behaviors can be categorized as pharmaceutical (e.g., vaccination uptake, antiviral use) or non-pharmaceutical (e.g., hand washing, face mask use, avoidance of public transport). Due to the limitations of pharmaceutical interventions during respiratory epidemics and pandemics, public health campaigns aimed at limiting disease spread often emphasize both non-pharmaceutical and pharmaceutical behavioral interventions. Understanding the determinants of the public's behavioral response is crucial for devising public health campaigns, providing information to parametrize mathematical models, and ultimately limiting disease spread. While other reviews have qualitatively analyzed the body of work on demographic determinants of health-protective behavior, this meta-analysis quantitatively combines the results from 85 publications to determine the global relationship between gender and health-protective behavioral response. The results show that women in the general population are about 50% more likely than men to adopt/practice non-pharmaceutical behaviors. Conversely, men in the general population are marginally (about 12%) more likely than women to adopt/practice pharmaceutical behaviors. It is possible that factors other than pharmaceutical/non-pharmaceutical status not included in this analysis act as moderators of this relationship. These results suggest an inherent difference in how men and women respond to epidemic and pandemic respiratory infectious diseases. This information can be used to target specific groups when developing non-pharmaceutical public health campaigns and to parameterize epidemic models incorporating demographic information.</description><subject>Analysis</subject><subject>Antiviral agents</subject><subject>Biology and Life Sciences</subject><subject>Communicable diseases</subject><subject>Constraining</subject><subject>Demographics</subject><subject>Determinants</subject><subject>Disease control</subject><subject>Disease spread</subject><subject>Disease transmission</subject><subject>Epidemics</subject><subject>Female</subject><subject>Humans</subject><subject>Hygiene</subject><subject>Immunization</subject><subject>Infectious diseases</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Medicine and Health Sciences</subject><subject>Men</subject><subject>Meta-analysis</subject><subject>Moderators</subject><subject>Pandemics</subject><subject>People and Places</subject><subject>Pharmaceuticals</subject><subject>Physical Sciences</subject><subject>Protective behavior</subject><subject>Protective equipment</subject><subject>Public health</subject><subject>Public transportation</subject><subject>Research and Analysis Methods</subject><subject>Respiratory Tract Diseases - epidemiology</subject><subject>Reviews</subject><subject>Swine flu</subject><subject>Vaccination</subject><subject>Vaccines</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYmPwDxBYQkJw0WLHX8kNUpnGqDQ0ND5uLcc5bj2lcWe7hV7w33E_NrVoF1OkxLGf9_XxOT5F8ZLgIaGSfLj2i9Drbjj3PQwxEYwz8qg4JjUtB6LE9PHe-Kh4FuM1xpxWQjwtjkopRSUxOy7-jtBXSHowylar6CLyFqUpoFGM3jidnO9RA-k3QI_OoW8hIN236FvwCUxyS0CfYKqXzoeIXI-uIOZ4IqDkN2MXdPJhhc7mroWZM3Grzq_N3_PiidVdhBe770nx8_PZj9Mvg4vL8_Hp6GJgZMnToNGUY8Y4abQhuqqYNWXJgFtpS6ErJrEQhDS2IsxaMC2WALjVVBiNKWWcnhSvt77zzke1y1xUpKK4krSWZSbGW6L1-lrNg5vpsFJeO7WZ8GGidEjOdKBYjXUjQRNgbd7a1pwS22BSi6aibVVnr4-73RbNDFoDfQq6OzA9XOndVE38UnEsGZc0G7zbGQR_s4CY1MxFA12ne_CLTdySYszEg1DOCS_rNfrmP_T-ROyoic5ndb31OUSzNlUjJklVi1KsqeE9VH42dc030ro8fyB4fyDITII_aaIXMarx96uHs5e_Dtm3e-wUdJem0XeL9cWNhyDbgib4GAPYu3oQrNYNdZsNtW4otWuoLHu1X8s70W0H0X_H3RsJ</recordid><startdate>20161021</startdate><enddate>20161021</enddate><creator>Moran, Kelly R</creator><creator>Del Valle, Sara Y</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3551-2885</orcidid></search><sort><creationdate>20161021</creationdate><title>A Meta-Analysis of the Association between Gender and Protective Behaviors in Response to Respiratory Epidemics and Pandemics</title><author>Moran, Kelly R ; Del Valle, Sara Y</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c725t-ba3504451bac1a884fc224e5f7f26a84706611bf814ffecd07ee0da36ca033453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Analysis</topic><topic>Antiviral agents</topic><topic>Biology and Life Sciences</topic><topic>Communicable diseases</topic><topic>Constraining</topic><topic>Demographics</topic><topic>Determinants</topic><topic>Disease control</topic><topic>Disease spread</topic><topic>Disease transmission</topic><topic>Epidemics</topic><topic>Female</topic><topic>Humans</topic><topic>Hygiene</topic><topic>Immunization</topic><topic>Infectious diseases</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Medicine and Health Sciences</topic><topic>Men</topic><topic>Meta-analysis</topic><topic>Moderators</topic><topic>Pandemics</topic><topic>People and Places</topic><topic>Pharmaceuticals</topic><topic>Physical Sciences</topic><topic>Protective behavior</topic><topic>Protective equipment</topic><topic>Public health</topic><topic>Public transportation</topic><topic>Research and Analysis Methods</topic><topic>Respiratory Tract Diseases - epidemiology</topic><topic>Reviews</topic><topic>Swine flu</topic><topic>Vaccination</topic><topic>Vaccines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moran, Kelly R</creatorcontrib><creatorcontrib>Del Valle, Sara Y</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</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 Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - 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>Moran, Kelly R</au><au>Del Valle, Sara Y</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Meta-Analysis of the Association between Gender and Protective Behaviors in Response to Respiratory Epidemics and Pandemics</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-10-21</date><risdate>2016</risdate><volume>11</volume><issue>10</issue><spage>e0164541</spage><epage>e0164541</epage><pages>e0164541-e0164541</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Respiratory infectious disease epidemics and pandemics are recurring events that levy a high cost on individuals and society. The health-protective behavioral response of the public plays an important role in limiting respiratory infectious disease spread. Health-protective behaviors take several forms. Behaviors can be categorized as pharmaceutical (e.g., vaccination uptake, antiviral use) or non-pharmaceutical (e.g., hand washing, face mask use, avoidance of public transport). Due to the limitations of pharmaceutical interventions during respiratory epidemics and pandemics, public health campaigns aimed at limiting disease spread often emphasize both non-pharmaceutical and pharmaceutical behavioral interventions. Understanding the determinants of the public's behavioral response is crucial for devising public health campaigns, providing information to parametrize mathematical models, and ultimately limiting disease spread. While other reviews have qualitatively analyzed the body of work on demographic determinants of health-protective behavior, this meta-analysis quantitatively combines the results from 85 publications to determine the global relationship between gender and health-protective behavioral response. The results show that women in the general population are about 50% more likely than men to adopt/practice non-pharmaceutical behaviors. Conversely, men in the general population are marginally (about 12%) more likely than women to adopt/practice pharmaceutical behaviors. It is possible that factors other than pharmaceutical/non-pharmaceutical status not included in this analysis act as moderators of this relationship. These results suggest an inherent difference in how men and women respond to epidemic and pandemic respiratory infectious diseases. This information can be used to target specific groups when developing non-pharmaceutical public health campaigns and to parameterize epidemic models incorporating demographic information.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27768704</pmid><doi>10.1371/journal.pone.0164541</doi><tpages>e0164541</tpages><orcidid>https://orcid.org/0000-0003-3551-2885</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2016-10, Vol.11 (10), p.e0164541-e0164541 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1830873972 |
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 | Analysis Antiviral agents Biology and Life Sciences Communicable diseases Constraining Demographics Determinants Disease control Disease spread Disease transmission Epidemics Female Humans Hygiene Immunization Infectious diseases Male Mathematical models Medicine and Health Sciences Men Meta-analysis Moderators Pandemics People and Places Pharmaceuticals Physical Sciences Protective behavior Protective equipment Public health Public transportation Research and Analysis Methods Respiratory Tract Diseases - epidemiology Reviews Swine flu Vaccination Vaccines |
title | A Meta-Analysis of the Association between Gender and Protective Behaviors in Response to Respiratory Epidemics and Pandemics |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-15T09%3A27%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Meta-Analysis%20of%20the%20Association%20between%20Gender%20and%20Protective%20Behaviors%20in%20Response%20to%20Respiratory%20Epidemics%20and%20Pandemics&rft.jtitle=PloS%20one&rft.au=Moran,%20Kelly%20R&rft.date=2016-10-21&rft.volume=11&rft.issue=10&rft.spage=e0164541&rft.epage=e0164541&rft.pages=e0164541-e0164541&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0164541&rft_dat=%3Cgale_plos_%3EA471896262%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1830873972&rft_id=info:pmid/27768704&rft_galeid=A471896262&rft_doaj_id=oai_doaj_org_article_490ab7ea1e4d470f9531fb0196b83d89&rfr_iscdi=true |