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Using the internet for health-related activities: findings from a national probability sample
eHealth tools on the Internet have the potential to help people manage their health and health care. However, little is known about the distribution and use of different kinds of eHealth tools across the population or within population subgroups. The purpose of this study was to examine the prevalen...
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Published in: | Journal of medical Internet research 2009-01, Vol.11 (1), p.e4-e4 |
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description | eHealth tools on the Internet have the potential to help people manage their health and health care. However, little is known about the distribution and use of different kinds of eHealth tools across the population or within population subgroups.
The purpose of this study was to examine the prevalence and predictors of participation in specific online health-related activities.
A secondary data analysis of the National Cancer Institute's Health Information National Trends Survey (HINTS) 2005 was conducted to study three online behaviors among Internet users (n = 3244): searching for health information for oneself, participating in a support group for those with similar health or medical conditions, and purchasing medicine or vitamins.
A total of 58% of Internet users reported searching for health information for themselves, 3.8% used online support groups, and 12.8% bought medicine or vitamins online in the past year. Multivariate analysis found that those seeking health information were more likely to be women (OR = 2.23, 95% CI = 1.60, 3.09), have cable or satellite Internet connections (OR = 1.73, 95% CI = 1.22, 2.45) or DSL connections (OR = 1.94, 95% CI = 1.36, 2.76), have Internet access from work (OR = 2.43, 95% CI = 1.27, 4.67) or from home and work (OR = 1.73, 95% CI = 1.31, 2.30), and report more hours of weekday Internet use (OR = 4.12, 95% CI = 2.41, 7.07). Those with a high school education or less (OR = 0.44, 95% CI = 0.31, 0.63) and those with some college (OR = 0.66, 95% CI = 0.49, 0.89) were less likely to search for health information. Online support groups were more likely to be used by those with "fair" health (OR = 3.28, 95% CI = 1.21, 8.92) and "poor" health (OR = 5.98, 95% CI = 1.49, 24.07) and those with lower incomes (OR = 2.64, 95% CI = 1.09, 6.41) and less likely to be used by those with Internet access both at home and work (OR = 0.56, 95% CI = 0.35, 0.90). Those who were age 35-49 (OR = 2.16, 95% CI = 1.43, 3.26), age 50-64 (OR = 2.44, 95% CI = 1.53, 3.89), and age 65-74 (OR = 2.18, 95% CI = 1.30, 3.67) and those who were married (OR = 1.93, 95% CI = 1.13, 3.30) were more likely to purchase medicine or vitamins online.
The Internet was most widely used as a health information resource, with less participation in the purchase of medicine and vitamins and in online support groups. Results suggest that modifying survey questions to better capture forms of online support and medications purchased could provide greater understanding |
doi_str_mv | 10.2196/jmir.1035 |
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The purpose of this study was to examine the prevalence and predictors of participation in specific online health-related activities.
A secondary data analysis of the National Cancer Institute's Health Information National Trends Survey (HINTS) 2005 was conducted to study three online behaviors among Internet users (n = 3244): searching for health information for oneself, participating in a support group for those with similar health or medical conditions, and purchasing medicine or vitamins.
A total of 58% of Internet users reported searching for health information for themselves, 3.8% used online support groups, and 12.8% bought medicine or vitamins online in the past year. Multivariate analysis found that those seeking health information were more likely to be women (OR = 2.23, 95% CI = 1.60, 3.09), have cable or satellite Internet connections (OR = 1.73, 95% CI = 1.22, 2.45) or DSL connections (OR = 1.94, 95% CI = 1.36, 2.76), have Internet access from work (OR = 2.43, 95% CI = 1.27, 4.67) or from home and work (OR = 1.73, 95% CI = 1.31, 2.30), and report more hours of weekday Internet use (OR = 4.12, 95% CI = 2.41, 7.07). Those with a high school education or less (OR = 0.44, 95% CI = 0.31, 0.63) and those with some college (OR = 0.66, 95% CI = 0.49, 0.89) were less likely to search for health information. Online support groups were more likely to be used by those with "fair" health (OR = 3.28, 95% CI = 1.21, 8.92) and "poor" health (OR = 5.98, 95% CI = 1.49, 24.07) and those with lower incomes (OR = 2.64, 95% CI = 1.09, 6.41) and less likely to be used by those with Internet access both at home and work (OR = 0.56, 95% CI = 0.35, 0.90). Those who were age 35-49 (OR = 2.16, 95% CI = 1.43, 3.26), age 50-64 (OR = 2.44, 95% CI = 1.53, 3.89), and age 65-74 (OR = 2.18, 95% CI = 1.30, 3.67) and those who were married (OR = 1.93, 95% CI = 1.13, 3.30) were more likely to purchase medicine or vitamins online.
The Internet was most widely used as a health information resource, with less participation in the purchase of medicine and vitamins and in online support groups. Results suggest that modifying survey questions to better capture forms of online support and medications purchased could provide greater understanding of the nature of participation in these activities.</description><identifier>ISSN: 1438-8871</identifier><identifier>EISSN: 1438-8871</identifier><identifier>DOI: 10.2196/jmir.1035</identifier><identifier>PMID: 19275980</identifier><language>eng</language><publisher>Canada: Gunther Eysenbach MD MPH, Associate Professor</publisher><subject>Access ; Adults ; Age ; Cancer ; Chat rooms ; Communication ; Computers ; Consumer health information ; Consumer Health Information - statistics & numerical data ; Consumers ; Cultural differences ; Demography ; Education ; Electronic mail systems ; Employment ; Female ; Health ; Health Behavior ; Health information ; Health Surveys ; Humans ; Information ; Internet ; Internet access ; Male ; Medical conditions ; Minority Groups - statistics & numerical data ; Multivariate analysis ; National Cancer Institute (U.S.) ; Online information retrieval ; Online Systems ; Original Paper ; Participation ; Personal health ; Polls & surveys ; Population ; Predictive Value of Tests ; Prescription drugs ; Probability ; Purchasing ; Questionnaires ; Regression analysis ; Secondary schools ; Social Support ; Sociodemographics ; Support groups ; Telephone ; United States ; Variables ; Vitamin A ; Women ; Womens health</subject><ispartof>Journal of medical Internet research, 2009-01, Vol.11 (1), p.e4-e4</ispartof><rights>2009. This work is licensed under http://creativecommons.org/licenses/by/2.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Nancy L Atkinson, Sandra L Saperstein, John Pleis. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.02.2009. 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c626t-21af6cded678a47d2f77d12b2a33a2ac5f430640b152f58e3a4e399e7f5cdfdf3</citedby><cites>FETCH-LOGICAL-c626t-21af6cded678a47d2f77d12b2a33a2ac5f430640b152f58e3a4e399e7f5cdfdf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2513342582/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2513342582?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,12846,21381,21394,25753,27305,27924,27925,30999,31000,33611,33612,33906,33907,34135,34136,37012,37013,43733,43892,44590,53791,53793,74221,74409,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19275980$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Atkinson, Nancy L</creatorcontrib><creatorcontrib>Saperstein, Sandra L</creatorcontrib><creatorcontrib>Pleis, John</creatorcontrib><title>Using the internet for health-related activities: findings from a national probability sample</title><title>Journal of medical Internet research</title><addtitle>J Med Internet Res</addtitle><description>eHealth tools on the Internet have the potential to help people manage their health and health care. However, little is known about the distribution and use of different kinds of eHealth tools across the population or within population subgroups.
The purpose of this study was to examine the prevalence and predictors of participation in specific online health-related activities.
A secondary data analysis of the National Cancer Institute's Health Information National Trends Survey (HINTS) 2005 was conducted to study three online behaviors among Internet users (n = 3244): searching for health information for oneself, participating in a support group for those with similar health or medical conditions, and purchasing medicine or vitamins.
A total of 58% of Internet users reported searching for health information for themselves, 3.8% used online support groups, and 12.8% bought medicine or vitamins online in the past year. Multivariate analysis found that those seeking health information were more likely to be women (OR = 2.23, 95% CI = 1.60, 3.09), have cable or satellite Internet connections (OR = 1.73, 95% CI = 1.22, 2.45) or DSL connections (OR = 1.94, 95% CI = 1.36, 2.76), have Internet access from work (OR = 2.43, 95% CI = 1.27, 4.67) or from home and work (OR = 1.73, 95% CI = 1.31, 2.30), and report more hours of weekday Internet use (OR = 4.12, 95% CI = 2.41, 7.07). Those with a high school education or less (OR = 0.44, 95% CI = 0.31, 0.63) and those with some college (OR = 0.66, 95% CI = 0.49, 0.89) were less likely to search for health information. Online support groups were more likely to be used by those with "fair" health (OR = 3.28, 95% CI = 1.21, 8.92) and "poor" health (OR = 5.98, 95% CI = 1.49, 24.07) and those with lower incomes (OR = 2.64, 95% CI = 1.09, 6.41) and less likely to be used by those with Internet access both at home and work (OR = 0.56, 95% CI = 0.35, 0.90). Those who were age 35-49 (OR = 2.16, 95% CI = 1.43, 3.26), age 50-64 (OR = 2.44, 95% CI = 1.53, 3.89), and age 65-74 (OR = 2.18, 95% CI = 1.30, 3.67) and those who were married (OR = 1.93, 95% CI = 1.13, 3.30) were more likely to purchase medicine or vitamins online.
The Internet was most widely used as a health information resource, with less participation in the purchase of medicine and vitamins and in online support groups. Results suggest that modifying survey questions to better capture forms of online support and medications purchased could provide greater understanding of the nature of participation in these activities.</description><subject>Access</subject><subject>Adults</subject><subject>Age</subject><subject>Cancer</subject><subject>Chat rooms</subject><subject>Communication</subject><subject>Computers</subject><subject>Consumer health information</subject><subject>Consumer Health Information - statistics & numerical data</subject><subject>Consumers</subject><subject>Cultural differences</subject><subject>Demography</subject><subject>Education</subject><subject>Electronic mail systems</subject><subject>Employment</subject><subject>Female</subject><subject>Health</subject><subject>Health Behavior</subject><subject>Health information</subject><subject>Health Surveys</subject><subject>Humans</subject><subject>Information</subject><subject>Internet</subject><subject>Internet access</subject><subject>Male</subject><subject>Medical conditions</subject><subject>Minority Groups - statistics & numerical data</subject><subject>Multivariate analysis</subject><subject>National Cancer Institute (U.S.)</subject><subject>Online information retrieval</subject><subject>Online Systems</subject><subject>Original Paper</subject><subject>Participation</subject><subject>Personal health</subject><subject>Polls & surveys</subject><subject>Population</subject><subject>Predictive Value of Tests</subject><subject>Prescription drugs</subject><subject>Probability</subject><subject>Purchasing</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Secondary schools</subject><subject>Social Support</subject><subject>Sociodemographics</subject><subject>Support groups</subject><subject>Telephone</subject><subject>United States</subject><subject>Variables</subject><subject>Vitamin A</subject><subject>Women</subject><subject>Womens health</subject><issn>1438-8871</issn><issn>1438-8871</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>ALSLI</sourceid><sourceid>CNYFK</sourceid><sourceid>F2A</sourceid><sourceid>M1O</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl1rFDEUhgdRbK1e-AckIAheTM13ZrwQpPhRKHhjLyWcSU52s8xM1iRb6L931l209cZC4IScJ0_g5G2al4yec9brd5sp5nNGhXrUnDIpurbrDHt8Z3_SPCtlQymnsmdPmxPWc6P6jp42P65LnFekrpHEuWKesZKQMlkjjHXdZhyhoifgaryJNWJ5T0Kc_XKnkJDTRIDMUGOaYSTbnAYY4hjrLSkwbUd83jwJMBZ8caxnzfXnT98vvrZX375cXny8ap3muracQdDOo9emA2k8D8Z4xgcOQgAHp4IUVEs6MMWD6lCARNH3aIJyPvggzprLg9cn2NhtjhPkW5sg2t8HKa8s5BrdiFY7xG6QXsCgJCoO0ulAHe-09AYAF9eHg2u7Gyb0DueaYbwnvd-Z49qu0o3lRi-rWwRvjoKcfu6wVDvF4nAcYca0K1YbyiQ35r-gMkYJIR8CCqp6qh8Ecmn6BXz9D7hJu7x8YrFcseVRrjq-UG8PlMuplIzhzxQYtfvk2X3y7D55C_vq7tj-kseoiV9_W9Yh</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Atkinson, Nancy L</creator><creator>Saperstein, Sandra L</creator><creator>Pleis, John</creator><general>Gunther Eysenbach MD MPH, Associate Professor</general><general>Gunther Eysenbach</general><general>JMIR Publications</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>3V.</scope><scope>7QJ</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CNYFK</scope><scope>DWQXO</scope><scope>E3H</scope><scope>F2A</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1O</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20090101</creationdate><title>Using the internet for health-related activities: findings from a national probability sample</title><author>Atkinson, Nancy L ; Saperstein, Sandra L ; Pleis, John</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c626t-21af6cded678a47d2f77d12b2a33a2ac5f430640b152f58e3a4e399e7f5cdfdf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Access</topic><topic>Adults</topic><topic>Age</topic><topic>Cancer</topic><topic>Chat rooms</topic><topic>Communication</topic><topic>Computers</topic><topic>Consumer health information</topic><topic>Consumer Health Information - statistics & numerical data</topic><topic>Consumers</topic><topic>Cultural differences</topic><topic>Demography</topic><topic>Education</topic><topic>Electronic mail systems</topic><topic>Employment</topic><topic>Female</topic><topic>Health</topic><topic>Health Behavior</topic><topic>Health information</topic><topic>Health Surveys</topic><topic>Humans</topic><topic>Information</topic><topic>Internet</topic><topic>Internet access</topic><topic>Male</topic><topic>Medical conditions</topic><topic>Minority Groups - statistics & numerical data</topic><topic>Multivariate analysis</topic><topic>National Cancer Institute (U.S.)</topic><topic>Online information retrieval</topic><topic>Online Systems</topic><topic>Original Paper</topic><topic>Participation</topic><topic>Personal health</topic><topic>Polls & surveys</topic><topic>Population</topic><topic>Predictive Value of Tests</topic><topic>Prescription drugs</topic><topic>Probability</topic><topic>Purchasing</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Secondary schools</topic><topic>Social Support</topic><topic>Sociodemographics</topic><topic>Support groups</topic><topic>Telephone</topic><topic>United States</topic><topic>Variables</topic><topic>Vitamin A</topic><topic>Women</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Atkinson, Nancy L</creatorcontrib><creatorcontrib>Saperstein, Sandra L</creatorcontrib><creatorcontrib>Pleis, John</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Library & Information Science Collection</collection><collection>ProQuest Central</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Library Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest 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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of medical Internet research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Atkinson, Nancy L</au><au>Saperstein, Sandra L</au><au>Pleis, John</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using the internet for health-related activities: findings from a national probability sample</atitle><jtitle>Journal of medical Internet research</jtitle><addtitle>J Med Internet Res</addtitle><date>2009-01-01</date><risdate>2009</risdate><volume>11</volume><issue>1</issue><spage>e4</spage><epage>e4</epage><pages>e4-e4</pages><issn>1438-8871</issn><eissn>1438-8871</eissn><abstract>eHealth tools on the Internet have the potential to help people manage their health and health care. However, little is known about the distribution and use of different kinds of eHealth tools across the population or within population subgroups.
The purpose of this study was to examine the prevalence and predictors of participation in specific online health-related activities.
A secondary data analysis of the National Cancer Institute's Health Information National Trends Survey (HINTS) 2005 was conducted to study three online behaviors among Internet users (n = 3244): searching for health information for oneself, participating in a support group for those with similar health or medical conditions, and purchasing medicine or vitamins.
A total of 58% of Internet users reported searching for health information for themselves, 3.8% used online support groups, and 12.8% bought medicine or vitamins online in the past year. Multivariate analysis found that those seeking health information were more likely to be women (OR = 2.23, 95% CI = 1.60, 3.09), have cable or satellite Internet connections (OR = 1.73, 95% CI = 1.22, 2.45) or DSL connections (OR = 1.94, 95% CI = 1.36, 2.76), have Internet access from work (OR = 2.43, 95% CI = 1.27, 4.67) or from home and work (OR = 1.73, 95% CI = 1.31, 2.30), and report more hours of weekday Internet use (OR = 4.12, 95% CI = 2.41, 7.07). Those with a high school education or less (OR = 0.44, 95% CI = 0.31, 0.63) and those with some college (OR = 0.66, 95% CI = 0.49, 0.89) were less likely to search for health information. Online support groups were more likely to be used by those with "fair" health (OR = 3.28, 95% CI = 1.21, 8.92) and "poor" health (OR = 5.98, 95% CI = 1.49, 24.07) and those with lower incomes (OR = 2.64, 95% CI = 1.09, 6.41) and less likely to be used by those with Internet access both at home and work (OR = 0.56, 95% CI = 0.35, 0.90). Those who were age 35-49 (OR = 2.16, 95% CI = 1.43, 3.26), age 50-64 (OR = 2.44, 95% CI = 1.53, 3.89), and age 65-74 (OR = 2.18, 95% CI = 1.30, 3.67) and those who were married (OR = 1.93, 95% CI = 1.13, 3.30) were more likely to purchase medicine or vitamins online.
The Internet was most widely used as a health information resource, with less participation in the purchase of medicine and vitamins and in online support groups. Results suggest that modifying survey questions to better capture forms of online support and medications purchased could provide greater understanding of the nature of participation in these activities.</abstract><cop>Canada</cop><pub>Gunther Eysenbach MD MPH, Associate Professor</pub><pmid>19275980</pmid><doi>10.2196/jmir.1035</doi><oa>free_for_read</oa></addata></record> |
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subjects | Access Adults Age Cancer Chat rooms Communication Computers Consumer health information Consumer Health Information - statistics & numerical data Consumers Cultural differences Demography Education Electronic mail systems Employment Female Health Health Behavior Health information Health Surveys Humans Information Internet Internet access Male Medical conditions Minority Groups - statistics & numerical data Multivariate analysis National Cancer Institute (U.S.) Online information retrieval Online Systems Original Paper Participation Personal health Polls & surveys Population Predictive Value of Tests Prescription drugs Probability Purchasing Questionnaires Regression analysis Secondary schools Social Support Sociodemographics Support groups Telephone United States Variables Vitamin A Women Womens health |
title | Using the internet for health-related activities: findings from a national probability sample |
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