Comparative stigma of HIV/AIDS, SARS, and Tuberculosis in Hong Kong
Identifieur interne : 001153 ( Pmc/Checkpoint ); précédent : 001152; suivant : 001154Comparative stigma of HIV/AIDS, SARS, and Tuberculosis in Hong Kong
Auteurs : Winnie W. S. Mak ; Phoenix K. H. Mo ; Rebecca Y. M. Cheung ; Jean Woo ; Fanny M. Cheung ; Dominic LeeSource :
- Social Science & Medicine (1982) [ 0277-9536 ] ; 2006.
Abstract
This study compares public stigma towards three types of infectious diseases— human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), severe acute respiratory syndrome (SARS), and tuberculosis (TB)—tests an attribution model of stigma, and explores the relationships between stigma and public attitudes towards government policies in Hong Kong. Using a population-based telephone survey, 3011 Hong Kong Chinese adults were randomly assigned to one of the three disease conditions and were interviewed about their attitudes and beliefs towards the assigned disease. Findings showed that public stigma was the highest towards HIV/AIDS, followed by TB and SARS. Using multi-sample model structural equation modeling, we found that the attributions of controllability, personal responsibility, and blame were applicable in explaining stigma across three disease types. Knowledge about the disease had no significant effect on stigma. Participants with less stigmatizing views had significantly more favorable attitudes towards government policies related to the diseases. The study is an important attempt in understanding the attributional mechanisms of stigma towards infectious diseases. Implications for stigma reduction and promotion of public awareness and disease prevention are discussed.
Url:
DOI: 10.1016/j.socscimed.2006.04.016
PubMed: 16766106
PubMed Central: 7115765
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<front><div type="abstract" xml:lang="en"><p>This study compares public stigma towards three types of infectious diseases— human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), severe acute respiratory syndrome (SARS), and tuberculosis (TB)—tests an attribution model of stigma, and explores the relationships between stigma and public attitudes towards government policies in Hong Kong. Using a population-based telephone survey, 3011 Hong Kong Chinese adults were randomly assigned to one of the three disease conditions and were interviewed about their attitudes and beliefs towards the assigned disease. Findings showed that public stigma was the highest towards HIV/AIDS, followed by TB and SARS. Using multi-sample model structural equation modeling, we found that the attributions of controllability, personal responsibility, and blame were applicable in explaining stigma across three disease types. Knowledge about the disease had no significant effect on stigma. Participants with less stigmatizing views had significantly more favorable attitudes towards government policies related to the diseases. The study is an important attempt in understanding the attributional mechanisms of stigma towards infectious diseases. Implications for stigma reduction and promotion of public awareness and disease prevention are discussed.</p>
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<article-id pub-id-type="pmc">7115765</article-id>
<article-id pub-id-type="publisher-id">S0277-9536(06)00223-1</article-id>
<article-id pub-id-type="doi">10.1016/j.socscimed.2006.04.016</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
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<title-group><article-title>Comparative stigma of HIV/AIDS, SARS, and Tuberculosis in Hong Kong</article-title>
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<contrib-group><contrib contrib-type="author"><name><surname>Mak</surname>
<given-names>Winnie W.S.</given-names>
</name>
<email>wwsmak@psy.cuhk.edu.hk</email>
<xref rid="cor1" ref-type="corresp">⁎</xref>
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<contrib contrib-type="author"><name><surname>Mo</surname>
<given-names>Phoenix K.H.</given-names>
</name>
<email>phoenixmo@gmail.com</email>
</contrib>
<contrib contrib-type="author"><name><surname>Cheung</surname>
<given-names>Rebecca Y.M.</given-names>
</name>
<email>ymcheung@psy.cuhk.edu.hk</email>
</contrib>
<contrib contrib-type="author"><name><surname>Woo</surname>
<given-names>Jean</given-names>
</name>
<email>jeanwoowong@cuhk.edu.hk</email>
</contrib>
<contrib contrib-type="author"><name><surname>Cheung</surname>
<given-names>Fanny M.</given-names>
</name>
<email>fmcheung@cuhk.edu.hk</email>
</contrib>
<contrib contrib-type="author"><name><surname>Lee</surname>
<given-names>Dominic</given-names>
</name>
<email>dominiclee@cuhk.edu.hk</email>
</contrib>
</contrib-group>
<aff>The Chinese University of Hong Kong Shatin, NT, Hong Kong</aff>
<author-notes><corresp id="cor1"><label>⁎</label>
Corresponding author. Tel.: +852 2609 6577; fax: +852 2603 5019. <email>wwsmak@psy.cuhk.edu.hk</email>
</corresp>
</author-notes>
<pub-date pub-type="pmc-release"><day>12</day>
<month>6</month>
<year>2006</year>
</pub-date>
<pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="ppub"><month>10</month>
<year>2006</year>
</pub-date>
<pub-date pub-type="epub"><day>12</day>
<month>6</month>
<year>2006</year>
</pub-date>
<volume>63</volume>
<issue>7</issue>
<fpage>1912</fpage>
<lpage>1922</lpage>
<permissions><copyright-statement>Copyright © 2006 Elsevier Ltd. All rights reserved.</copyright-statement>
<copyright-year>2006</copyright-year>
<copyright-holder>Elsevier Ltd</copyright-holder>
<license><license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p>
</license>
</permissions>
<abstract><p>This study compares public stigma towards three types of infectious diseases— human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), severe acute respiratory syndrome (SARS), and tuberculosis (TB)—tests an attribution model of stigma, and explores the relationships between stigma and public attitudes towards government policies in Hong Kong. Using a population-based telephone survey, 3011 Hong Kong Chinese adults were randomly assigned to one of the three disease conditions and were interviewed about their attitudes and beliefs towards the assigned disease. Findings showed that public stigma was the highest towards HIV/AIDS, followed by TB and SARS. Using multi-sample model structural equation modeling, we found that the attributions of controllability, personal responsibility, and blame were applicable in explaining stigma across three disease types. Knowledge about the disease had no significant effect on stigma. Participants with less stigmatizing views had significantly more favorable attitudes towards government policies related to the diseases. The study is an important attempt in understanding the attributional mechanisms of stigma towards infectious diseases. Implications for stigma reduction and promotion of public awareness and disease prevention are discussed.</p>
</abstract>
<kwd-group><title>Keywords</title>
<kwd>Attribution</kwd>
<kwd>HIV/AIDS</kwd>
<kwd>SARS</kwd>
<kwd>Tuberculosis</kwd>
<kwd>Hong Kong</kwd>
<kwd>Stigma</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
<affiliations><list></list>
<tree><noCountry><name sortKey="Cheung, Fanny M" sort="Cheung, Fanny M" uniqKey="Cheung F" first="Fanny M." last="Cheung">Fanny M. Cheung</name>
<name sortKey="Cheung, Rebecca Y M" sort="Cheung, Rebecca Y M" uniqKey="Cheung R" first="Rebecca Y. M." last="Cheung">Rebecca Y. M. Cheung</name>
<name sortKey="Lee, Dominic" sort="Lee, Dominic" uniqKey="Lee D" first="Dominic" last="Lee">Dominic Lee</name>
<name sortKey="Mak, Winnie W S" sort="Mak, Winnie W S" uniqKey="Mak W" first="Winnie W. S." last="Mak">Winnie W. S. Mak</name>
<name sortKey="Mo, Phoenix K H" sort="Mo, Phoenix K H" uniqKey="Mo P" first="Phoenix K. H." last="Mo">Phoenix K. H. Mo</name>
<name sortKey="Woo, Jean" sort="Woo, Jean" uniqKey="Woo J" first="Jean" last="Woo">Jean Woo</name>
</noCountry>
</tree>
</affiliations>
</record>
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