Brief research report: sociodemographic factors associated with HIV status among African American women in Washington, DC
Identifieur interne : 001A80 ( Pmc/Checkpoint ); précédent : 001A79; suivant : 001A81Brief research report: sociodemographic factors associated with HIV status among African American women in Washington, DC
Auteurs : Emory L. Perkins [États-Unis] ; Dexter R. Voisin [États-Unis] ; Kesslyn A Brade Stennis [États-Unis]Source :
- International Journal of Women's Health [ 1179-1411 ] ; 2013.
Abstract
African American women living in Washington, DC have one of the highest
This cross-sectional study examined sociodemographic factors that were associated with having a negative or positive HIV status among a sample of 115 African American women between the ages of 24 and 44 years. We assessed such factors as age, education, sexual orientation, household income, sources of income, number of children, length of residency tenure in Washington, DC, and level of HIV-prevention knowledge.
Among the overall sample, 53 women self-identified as HIV-positive and 62 as HIV-negative. Compared to their HIV-negative counterparts, women who reported being HIV-positive were less educated, had lower household income, and had longer residency tenure in Washington, DC. There were no differences in HIV knowledge between HIV-positive and -negative study participants.
These findings may provide important directions for targeting specific subpopulations of African Americans for HIV-prevention/intervention programs.
Url:
DOI: 10.2147/IJWH.S47162
PubMed: 24082794
PubMed Central: 3785395
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<author><name sortKey="Stennis, Kesslyn A Brade" sort="Stennis, Kesslyn A Brade" uniqKey="Stennis K" first="Kesslyn A Brade" last="Stennis">Kesslyn A Brade Stennis</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Brief research report: sociodemographic factors associated with HIV status among African American women in Washington, DC</title>
<author><name sortKey="Perkins, Emory L" sort="Perkins, Emory L" uniqKey="Perkins E" first="Emory L" last="Perkins">Emory L. Perkins</name>
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<author><name sortKey="Voisin, Dexter R" sort="Voisin, Dexter R" uniqKey="Voisin D" first="Dexter R" last="Voisin">Dexter R. Voisin</name>
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<author><name sortKey="Stennis, Kesslyn A Brade" sort="Stennis, Kesslyn A Brade" uniqKey="Stennis K" first="Kesslyn A Brade" last="Stennis">Kesslyn A Brade Stennis</name>
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<series><title level="j">International Journal of Women's Health</title>
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<imprint><date when="2013">2013</date>
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<front><div type="abstract" xml:lang="en"><sec><title>Introduction</title>
<p>African American women living in Washington, DC have one of the highest <italic>Human immunodeficiency virus</italic>
(HIV) incidence rates in the US. However, this population has been understudied, especially as it relates to factors associated with HIV status.</p>
</sec>
<sec><title>Methods</title>
<p>This cross-sectional study examined sociodemographic factors that were associated with having a negative or positive HIV status among a sample of 115 African American women between the ages of 24 and 44 years. We assessed such factors as age, education, sexual orientation, household income, sources of income, number of children, length of residency tenure in Washington, DC, and level of HIV-prevention knowledge.</p>
</sec>
<sec><title>Results</title>
<p>Among the overall sample, 53 women self-identified as HIV-positive and 62 as HIV-negative. Compared to their HIV-negative counterparts, women who reported being HIV-positive were less educated, had lower household income, and had longer residency tenure in Washington, DC. There were no differences in HIV knowledge between HIV-positive and -negative study participants.</p>
</sec>
<sec><title>Conclusion</title>
<p>These findings may provide important directions for targeting specific subpopulations of African Americans for HIV-prevention/intervention programs.</p>
</sec>
</div>
</front>
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<biblStruct><analytic><author><name sortKey="Schneider, J" uniqKey="Schneider J">J Schneider</name>
</author>
<author><name sortKey="Voisin, D" uniqKey="Voisin D">D Voisin</name>
</author>
<author><name sortKey="Michaels, S" uniqKey="Michaels S">S Michaels</name>
</author>
<author><name sortKey="Ostrow, D" uniqKey="Ostrow D">D Ostrow</name>
</author>
<author><name sortKey="Laumann, E" uniqKey="Laumann E">E Laumann</name>
</author>
</analytic>
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<biblStruct><analytic><author><name sortKey="Carey, Mp" uniqKey="Carey M">MP Carey</name>
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<author><name sortKey="Taylor, Se" uniqKey="Taylor S">SE Taylor</name>
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<author><name sortKey="Kemeny, Me" uniqKey="Kemeny M">ME Kemeny</name>
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<author><name sortKey="Wyatt, Ge" uniqKey="Wyatt G">GE Wyatt</name>
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<author><name sortKey="Anderson, J" uniqKey="Anderson J">J Anderson</name>
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<author><name sortKey="Purcell, D" uniqKey="Purcell D">D Purcell</name>
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<author><name sortKey="Shiu, Cs" uniqKey="Shiu C">CS Shiu</name>
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<pmc article-type="brief-report"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Int J Womens Health</journal-id>
<journal-id journal-id-type="iso-abbrev">Int J Womens Health</journal-id>
<journal-id journal-id-type="publisher-id">International Journal of Women’s Health</journal-id>
<journal-title-group><journal-title>International Journal of Women's Health</journal-title>
</journal-title-group>
<issn pub-type="epub">1179-1411</issn>
<publisher><publisher-name>Dove Medical Press</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">24082794</article-id>
<article-id pub-id-type="pmc">3785395</article-id>
<article-id pub-id-type="doi">10.2147/IJWH.S47162</article-id>
<article-id pub-id-type="publisher-id">ijwh-5-587</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Short Report</subject>
</subj-group>
</article-categories>
<title-group><article-title>Brief research report: sociodemographic factors associated with HIV status among African American women in Washington, DC</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Perkins</surname>
<given-names>Emory L</given-names>
</name>
<xref ref-type="aff" rid="af1-ijwh-5-587">1</xref>
<xref ref-type="corresp" rid="c1-ijwh-5-587"></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Voisin</surname>
<given-names>Dexter R</given-names>
</name>
<xref ref-type="aff" rid="af2-ijwh-5-587">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Stennis</surname>
<given-names>Kesslyn A Brade</given-names>
</name>
<xref ref-type="aff" rid="af1-ijwh-5-587">1</xref>
</contrib>
</contrib-group>
<aff id="af1-ijwh-5-587"><label>1</label>
Department of Social Work, Bowie State University, Bowie, MD, USA</aff>
<aff id="af2-ijwh-5-587"><label>2</label>
School of Social Service Administration, University of Chicago, Chicago, IL, USA</aff>
<author-notes><corresp id="c1-ijwh-5-587">Correspondence: Emory Perkins, Department of Social Work, Bowie State University, 1400 Jericho Park Road, Bowie, MD 20715, USA, Tel +1 301 860 3172, Email <email>eperkins@bowiestate.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="collection"><year>2013</year>
</pub-date>
<pub-date pub-type="epub"><day>19</day>
<month>9</month>
<year>2013</year>
</pub-date>
<volume>5</volume>
<fpage>587</fpage>
<lpage>591</lpage>
<permissions><copyright-statement>© 2013 Perkins et al, publisher and licensee Dove Medical Press Ltd</copyright-statement>
<copyright-year>2013</copyright-year>
<license><license-p>This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract><sec><title>Introduction</title>
<p>African American women living in Washington, DC have one of the highest <italic>Human immunodeficiency virus</italic>
(HIV) incidence rates in the US. However, this population has been understudied, especially as it relates to factors associated with HIV status.</p>
</sec>
<sec><title>Methods</title>
<p>This cross-sectional study examined sociodemographic factors that were associated with having a negative or positive HIV status among a sample of 115 African American women between the ages of 24 and 44 years. We assessed such factors as age, education, sexual orientation, household income, sources of income, number of children, length of residency tenure in Washington, DC, and level of HIV-prevention knowledge.</p>
</sec>
<sec><title>Results</title>
<p>Among the overall sample, 53 women self-identified as HIV-positive and 62 as HIV-negative. Compared to their HIV-negative counterparts, women who reported being HIV-positive were less educated, had lower household income, and had longer residency tenure in Washington, DC. There were no differences in HIV knowledge between HIV-positive and -negative study participants.</p>
</sec>
<sec><title>Conclusion</title>
<p>These findings may provide important directions for targeting specific subpopulations of African Americans for HIV-prevention/intervention programs.</p>
</sec>
</abstract>
<kwd-group><title>Keywords</title>
<kwd>HIV status</kwd>
<kwd>African American women</kwd>
<kwd>sociodemographic factors</kwd>
</kwd-group>
</article-meta>
</front>
<floats-group><table-wrap id="t1-ijwh-5-587" position="float"><label>Table 1</label>
<caption><p>Sociodemographic characteristics of HIV-positive and -negative African American women (n = 115)</p>
</caption>
<table frame="hsides" rules="groups"><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"></th>
<th align="left" valign="top" rowspan="1" colspan="1">HIV-negative (n)</th>
<th align="left" valign="top" rowspan="1" colspan="1">HIV-positive (n)</th>
<th align="left" valign="top" rowspan="1" colspan="1">Total (n)</th>
<th align="left" valign="top" rowspan="1" colspan="1"><italic>χ</italic>
<sup>2</sup>
</th>
<th align="left" valign="top" rowspan="1" colspan="1"><italic>P</italic>
</th>
</tr>
</thead>
<tbody><tr><td colspan="6" align="left" valign="top" rowspan="1">Age, years</td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> Mean</td>
<td align="left" valign="top" rowspan="1" colspan="1">34.9</td>
<td align="left" valign="top" rowspan="1" colspan="1">35.54</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> SD</td>
<td align="left" valign="top" rowspan="1" colspan="1">7.464</td>
<td align="left" valign="top" rowspan="1" colspan="1">7.389</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td colspan="6" align="left" valign="top" rowspan="1">Education</td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> High school</td>
<td align="left" valign="top" rowspan="1" colspan="1">17</td>
<td align="left" valign="top" rowspan="1" colspan="1">31</td>
<td align="left" valign="top" rowspan="1" colspan="1">48</td>
<td align="left" valign="top" rowspan="1" colspan="1">11.69</td>
<td align="left" valign="top" rowspan="1" colspan="1">0.003<xref ref-type="table-fn" rid="tfn2-ijwh-5-587">**</xref>
</td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> College</td>
<td align="left" valign="top" rowspan="1" colspan="1">25</td>
<td align="left" valign="top" rowspan="1" colspan="1">10</td>
<td align="left" valign="top" rowspan="1" colspan="1">35</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> Postgraduate</td>
<td align="left" valign="top" rowspan="1" colspan="1">18</td>
<td align="left" valign="top" rowspan="1" colspan="1">11</td>
<td align="left" valign="top" rowspan="1" colspan="1">29</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td colspan="6" align="left" valign="top" rowspan="1">Sexual orientation</td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> Heterosexual</td>
<td align="left" valign="top" rowspan="1" colspan="1">37</td>
<td align="left" valign="top" rowspan="1" colspan="1">53</td>
<td align="left" valign="top" rowspan="1" colspan="1">90</td>
<td align="left" valign="top" rowspan="1" colspan="1">6.88</td>
<td align="left" valign="top" rowspan="1" colspan="1">0.032<xref ref-type="table-fn" rid="tfn1-ijwh-5-587">*</xref>
</td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> Homosexual</td>
<td align="left" valign="top" rowspan="1" colspan="1">4</td>
<td align="left" valign="top" rowspan="1" colspan="1">4</td>
<td align="left" valign="top" rowspan="1" colspan="1">8</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> Bisexual</td>
<td align="left" valign="top" rowspan="1" colspan="1">11</td>
<td align="left" valign="top" rowspan="1" colspan="1">3</td>
<td align="left" valign="top" rowspan="1" colspan="1">14</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td colspan="6" align="left" valign="top" rowspan="1">Household income</td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> Less than $600 per month</td>
<td align="left" valign="top" rowspan="1" colspan="1">21</td>
<td align="left" valign="top" rowspan="1" colspan="1">13</td>
<td align="left" valign="top" rowspan="1" colspan="1">34</td>
<td align="left" valign="top" rowspan="1" colspan="1">19.643</td>
<td align="left" valign="top" rowspan="1" colspan="1">0.001<xref ref-type="table-fn" rid="tfn3-ijwh-5-587">***</xref>
</td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> $600 to $1,000 per month</td>
<td align="left" valign="top" rowspan="1" colspan="1">12</td>
<td align="left" valign="top" rowspan="1" colspan="1">7</td>
<td align="left" valign="top" rowspan="1" colspan="1">19</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> $1,000 and over</td>
<td align="left" valign="top" rowspan="1" colspan="1">9</td>
<td align="left" valign="top" rowspan="1" colspan="1">39</td>
<td align="left" valign="top" rowspan="1" colspan="1">48</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td colspan="6" align="left" valign="top" rowspan="1">Source of income</td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> SSI/SSDI</td>
<td align="left" valign="top" rowspan="1" colspan="1">15</td>
<td align="left" valign="top" rowspan="1" colspan="1">10</td>
<td align="left" valign="top" rowspan="1" colspan="1">25</td>
<td align="left" valign="top" rowspan="1" colspan="1">3.063</td>
<td align="left" valign="top" rowspan="1" colspan="1">0.216</td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> Wages</td>
<td align="left" valign="top" rowspan="1" colspan="1">17</td>
<td align="left" valign="top" rowspan="1" colspan="1">12</td>
<td align="left" valign="top" rowspan="1" colspan="1">29</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> Unemployment</td>
<td align="left" valign="top" rowspan="1" colspan="1">19</td>
<td align="left" valign="top" rowspan="1" colspan="1">17</td>
<td align="left" valign="top" rowspan="1" colspan="1">36</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> Other</td>
<td align="left" valign="top" rowspan="1" colspan="1">20</td>
<td align="left" valign="top" rowspan="1" colspan="1">21</td>
<td align="left" valign="top" rowspan="1" colspan="1">41</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td colspan="6" align="left" valign="top" rowspan="1">Children, n</td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> 0</td>
<td align="left" valign="top" rowspan="1" colspan="1">17</td>
<td align="left" valign="top" rowspan="1" colspan="1">19</td>
<td align="left" valign="top" rowspan="1" colspan="1">36</td>
<td align="left" valign="top" rowspan="1" colspan="1">3.678</td>
<td align="left" valign="top" rowspan="1" colspan="1">0.159</td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> 1</td>
<td align="left" valign="top" rowspan="1" colspan="1">27</td>
<td align="left" valign="top" rowspan="1" colspan="1">28</td>
<td align="left" valign="top" rowspan="1" colspan="1">55</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> 2–3</td>
<td align="left" valign="top" rowspan="1" colspan="1">12</td>
<td align="left" valign="top" rowspan="1" colspan="1">13</td>
<td align="left" valign="top" rowspan="1" colspan="1">25</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> 4 or more</td>
<td align="left" valign="top" rowspan="1" colspan="1">3</td>
<td align="left" valign="top" rowspan="1" colspan="1">0</td>
<td align="left" valign="top" rowspan="1" colspan="1">3</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td colspan="6" align="left" valign="top" rowspan="1">Length of time residing in Washington DC</td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> Mean</td>
<td align="left" valign="top" rowspan="1" colspan="1">2.2</td>
<td align="left" valign="top" rowspan="1" colspan="1">6.31<xref ref-type="table-fn" rid="tfn2-ijwh-5-587">**</xref>
</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> SD</td>
<td align="left" valign="top" rowspan="1" colspan="1">1.2</td>
<td align="left" valign="top" rowspan="1" colspan="1">2.6</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td colspan="6" align="left" valign="top" rowspan="1">HIV knowledge</td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> Mean</td>
<td align="left" valign="top" rowspan="1" colspan="1">40.48</td>
<td align="left" valign="top" rowspan="1" colspan="1">41.42</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" valign="top" rowspan="1" colspan="1"> SD</td>
<td align="left" valign="top" rowspan="1" colspan="1">6.42</td>
<td align="left" valign="top" rowspan="1" colspan="1">5.16</td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
<td align="left" valign="top" rowspan="1" colspan="1"></td>
</tr>
</tbody>
</table>
<table-wrap-foot><fn><p><bold>Notes:</bold>
</p>
</fn>
<fn id="tfn1-ijwh-5-587"><label>*</label>
<p><italic>P</italic>
< 0.05;</p>
</fn>
<fn id="tfn2-ijwh-5-587"><label>**</label>
<p><italic>P</italic>
< 0.01;</p>
</fn>
<fn id="tfn3-ijwh-5-587"><label>***</label>
<p><italic>P</italic>
< 0.001.</p>
</fn>
<fn id="tfn4-ijwh-5-587"><p><bold>Abbreviations:</bold>
SD, standard deviation; SSI, Supplemental Security Income; SSDI, Social Security Disability Insurance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>Illinois</li>
<li>Maryland</li>
</region>
</list>
<tree><country name="États-Unis"><region name="Maryland"><name sortKey="Perkins, Emory L" sort="Perkins, Emory L" uniqKey="Perkins E" first="Emory L" last="Perkins">Emory L. Perkins</name>
</region>
<name sortKey="Stennis, Kesslyn A Brade" sort="Stennis, Kesslyn A Brade" uniqKey="Stennis K" first="Kesslyn A Brade" last="Stennis">Kesslyn A Brade Stennis</name>
<name sortKey="Voisin, Dexter R" sort="Voisin, Dexter R" uniqKey="Voisin D" first="Dexter R" last="Voisin">Dexter R. Voisin</name>
</country>
</tree>
</affiliations>
</record>
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