Social networks and health information sharing in COVID-19 pandemic
Background Understanding health information flow in social networks is important for designing effective health communications strategies and to achieve health literacy. Limited information is known about variation in social networks and health information sharing in the COVID-19 pandemic by demogra...
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Veröffentlicht in: | European journal of public health 2022-10, Vol.32 (Supplement_3) |
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description | Background
Understanding health information flow in social networks is important for designing effective health communications strategies and to achieve health literacy. Limited information is known about variation in social networks and health information sharing in the COVID-19 pandemic by demographic factors. Young people are of particular interest given their heavy exposure to digital media sources, which include considerable health misinformation.
Methods
Hawai'i (n = 324) residents between 18-35 completed a Spring 2021 online survey including questions on health information flow in social networks: (1) how many they talked to and (2) listened to about health. Two Poisson regression models were fit with gender, education, and race/ethnicity predicting social network size.
Results
Respondents were 67.6% female. Respondents discussed their own health with 2-3 people (M = 2.18, SD = 2.95) and listened to roughly the same number. Respondents who talked with a greater number of individuals about their own health were significantly more likely to have larger networks for listening to others (r (317) = .614; p< .001). In the model for discussing their own health, as education increased so did social network size. For the model predicting discussing others' health, gender was significant (p = 0.003); women listened to 30.6% more individuals than men. Most (73%) respondents had conducted a recent digital health search for either themselves or someone else, including for parents, grandparents, and children. Facebook (63%) and Instagram (58%) were the most popular online sources for COVID-19 health information.
Conclusions
Understanding social networks and digital health sources in young people are important for designing effective health communications to reach all communities, especially those experiencing health inequities, given the amount of health misinformation circulating and the need to build trust in public health communication.
Key messages
* Social networks provide access to critical health information including information obtained from digital sources.
* Gender and education were important predictors of social network size in COVID-19 health communications. |
doi_str_mv | 10.1093/eurpub/ckac131.183 |
format | Article |
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Understanding health information flow in social networks is important for designing effective health communications strategies and to achieve health literacy. Limited information is known about variation in social networks and health information sharing in the COVID-19 pandemic by demographic factors. Young people are of particular interest given their heavy exposure to digital media sources, which include considerable health misinformation.
Methods
Hawai'i (n = 324) residents between 18-35 completed a Spring 2021 online survey including questions on health information flow in social networks: (1) how many they talked to and (2) listened to about health. Two Poisson regression models were fit with gender, education, and race/ethnicity predicting social network size.
Results
Respondents were 67.6% female. Respondents discussed their own health with 2-3 people (M = 2.18, SD = 2.95) and listened to roughly the same number. Respondents who talked with a greater number of individuals about their own health were significantly more likely to have larger networks for listening to others (r (317) = .614; p< .001). In the model for discussing their own health, as education increased so did social network size. For the model predicting discussing others' health, gender was significant (p = 0.003); women listened to 30.6% more individuals than men. Most (73%) respondents had conducted a recent digital health search for either themselves or someone else, including for parents, grandparents, and children. Facebook (63%) and Instagram (58%) were the most popular online sources for COVID-19 health information.
Conclusions
Understanding social networks and digital health sources in young people are important for designing effective health communications to reach all communities, especially those experiencing health inequities, given the amount of health misinformation circulating and the need to build trust in public health communication.
Key messages
* Social networks provide access to critical health information including information obtained from digital sources.
* Gender and education were important predictors of social network size in COVID-19 health communications.</description><identifier>ISSN: 1101-1262</identifier><identifier>EISSN: 1464-360X</identifier><identifier>DOI: 10.1093/eurpub/ckac131.183</identifier><language>eng</language><publisher>Oxford: Oxford University Press</publisher><subject>Academic achievement ; Communication ; Communications ; COVID-19 ; Education ; Ethnicity ; False information ; Gender ; Grandparents ; Health disparities ; Health education ; Health literacy ; Information dissemination ; Information flow ; Information sharing ; Minority & ethnic groups ; Pandemics ; Public health ; Regression analysis ; Regression models ; Residents ; Respondents ; Social interactions ; Social networks ; Social organization ; Young adults</subject><ispartof>European journal of public health, 2022-10, Vol.32 (Supplement_3)</ispartof><rights>The Author(s) 2022. Published by Oxford University Press on behalf of the European Public Health Association. 2022</rights><rights>The Author(s) 2022. Published by Oxford University Press on behalf of the European Public Health Association.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,1604,27866,27924,27925</link.rule.ids></links><search><creatorcontrib>Phillips, M</creatorcontrib><creatorcontrib>Weldon, R</creatorcontrib><creatorcontrib>Patil, U</creatorcontrib><title>Social networks and health information sharing in COVID-19 pandemic</title><title>European journal of public health</title><description>Background
Understanding health information flow in social networks is important for designing effective health communications strategies and to achieve health literacy. Limited information is known about variation in social networks and health information sharing in the COVID-19 pandemic by demographic factors. Young people are of particular interest given their heavy exposure to digital media sources, which include considerable health misinformation.
Methods
Hawai'i (n = 324) residents between 18-35 completed a Spring 2021 online survey including questions on health information flow in social networks: (1) how many they talked to and (2) listened to about health. Two Poisson regression models were fit with gender, education, and race/ethnicity predicting social network size.
Results
Respondents were 67.6% female. Respondents discussed their own health with 2-3 people (M = 2.18, SD = 2.95) and listened to roughly the same number. Respondents who talked with a greater number of individuals about their own health were significantly more likely to have larger networks for listening to others (r (317) = .614; p< .001). In the model for discussing their own health, as education increased so did social network size. For the model predicting discussing others' health, gender was significant (p = 0.003); women listened to 30.6% more individuals than men. Most (73%) respondents had conducted a recent digital health search for either themselves or someone else, including for parents, grandparents, and children. Facebook (63%) and Instagram (58%) were the most popular online sources for COVID-19 health information.
Conclusions
Understanding social networks and digital health sources in young people are important for designing effective health communications to reach all communities, especially those experiencing health inequities, given the amount of health misinformation circulating and the need to build trust in public health communication.
Key messages
* Social networks provide access to critical health information including information obtained from digital sources.
* Gender and education were important predictors of social network size in COVID-19 health communications.</description><subject>Academic achievement</subject><subject>Communication</subject><subject>Communications</subject><subject>COVID-19</subject><subject>Education</subject><subject>Ethnicity</subject><subject>False information</subject><subject>Gender</subject><subject>Grandparents</subject><subject>Health disparities</subject><subject>Health education</subject><subject>Health literacy</subject><subject>Information dissemination</subject><subject>Information flow</subject><subject>Information sharing</subject><subject>Minority & ethnic groups</subject><subject>Pandemics</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Residents</subject><subject>Respondents</subject><subject>Social interactions</subject><subject>Social networks</subject><subject>Social organization</subject><subject>Young adults</subject><issn>1101-1262</issn><issn>1464-360X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>7TQ</sourceid><recordid>eNqNkMlOwzAQhi0EEqXwApwscXbrseMlRxS2SpV6YBE3y3Ucmi5xsBMh3p5A-gCcZtH3z0gfQtdAZ0BzPvd9bPv13O2sAw4z0PwETSCTGeGSvp8OPVAgwCQ7RxcpbSmlQmk2QcVzcLXd48Z3XyHuErZNiTfe7rsNrpsqxIPt6tDgtLGxbj6GHS5Wb4s7AjluB9YfaneJziq7T_7qWKfo9eH-pXgiy9XjorhdEgeCc-KlEhpAOMUFzfzfqMqM52vBtHbeU18KVVonMqdzyy3IkpUqqzyTUpWaT9HNeLeN4bP3qTPb0MdmeGmYFllOuQI6UGykXAwpRV-ZNtYHG78NUPMry4yyzFGWGWQNITKGQt_-h_8BqUBtiQ</recordid><startdate>20221021</startdate><enddate>20221021</enddate><creator>Phillips, M</creator><creator>Weldon, R</creator><creator>Patil, U</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>TOX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7TQ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>K9.</scope><scope>NAPCQ</scope></search><sort><creationdate>20221021</creationdate><title>Social networks and health information sharing in COVID-19 pandemic</title><author>Phillips, M ; Weldon, R ; Patil, U</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1533-e6758115c73504ee67587d439b5288cee0ed57dac54c89a3a16d2d74fe2667d83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Academic achievement</topic><topic>Communication</topic><topic>Communications</topic><topic>COVID-19</topic><topic>Education</topic><topic>Ethnicity</topic><topic>False information</topic><topic>Gender</topic><topic>Grandparents</topic><topic>Health disparities</topic><topic>Health education</topic><topic>Health literacy</topic><topic>Information dissemination</topic><topic>Information flow</topic><topic>Information sharing</topic><topic>Minority & ethnic groups</topic><topic>Pandemics</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Residents</topic><topic>Respondents</topic><topic>Social interactions</topic><topic>Social networks</topic><topic>Social organization</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Phillips, M</creatorcontrib><creatorcontrib>Weldon, R</creatorcontrib><creatorcontrib>Patil, U</creatorcontrib><collection>Access via Oxford University Press (Open Access Collection)</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>PAIS Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><jtitle>European journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Phillips, M</au><au>Weldon, R</au><au>Patil, U</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Social networks and health information sharing in COVID-19 pandemic</atitle><jtitle>European journal of public health</jtitle><date>2022-10-21</date><risdate>2022</risdate><volume>32</volume><issue>Supplement_3</issue><issn>1101-1262</issn><eissn>1464-360X</eissn><abstract>Background
Understanding health information flow in social networks is important for designing effective health communications strategies and to achieve health literacy. Limited information is known about variation in social networks and health information sharing in the COVID-19 pandemic by demographic factors. Young people are of particular interest given their heavy exposure to digital media sources, which include considerable health misinformation.
Methods
Hawai'i (n = 324) residents between 18-35 completed a Spring 2021 online survey including questions on health information flow in social networks: (1) how many they talked to and (2) listened to about health. Two Poisson regression models were fit with gender, education, and race/ethnicity predicting social network size.
Results
Respondents were 67.6% female. Respondents discussed their own health with 2-3 people (M = 2.18, SD = 2.95) and listened to roughly the same number. Respondents who talked with a greater number of individuals about their own health were significantly more likely to have larger networks for listening to others (r (317) = .614; p< .001). In the model for discussing their own health, as education increased so did social network size. For the model predicting discussing others' health, gender was significant (p = 0.003); women listened to 30.6% more individuals than men. Most (73%) respondents had conducted a recent digital health search for either themselves or someone else, including for parents, grandparents, and children. Facebook (63%) and Instagram (58%) were the most popular online sources for COVID-19 health information.
Conclusions
Understanding social networks and digital health sources in young people are important for designing effective health communications to reach all communities, especially those experiencing health inequities, given the amount of health misinformation circulating and the need to build trust in public health communication.
Key messages
* Social networks provide access to critical health information including information obtained from digital sources.
* Gender and education were important predictors of social network size in COVID-19 health communications.</abstract><cop>Oxford</cop><pub>Oxford University Press</pub><doi>10.1093/eurpub/ckac131.183</doi><oa>free_for_read</oa></addata></record> |
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subjects | Academic achievement Communication Communications COVID-19 Education Ethnicity False information Gender Grandparents Health disparities Health education Health literacy Information dissemination Information flow Information sharing Minority & ethnic groups Pandemics Public health Regression analysis Regression models Residents Respondents Social interactions Social networks Social organization Young adults |
title | Social networks and health information sharing in COVID-19 pandemic |
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