Le SIDA en Afrique subsaharienne (serveur d'exploration)

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Syndemics and health disparities: a methodological note

Identifieur interne : 002022 ( Pmc/Corpus ); précédent : 002021; suivant : 002023

Syndemics and health disparities: a methodological note

Auteurs : Alexander C. Tsai ; Atheendar S. Venkataramani

Source :

RBID : PMC:4755906

Abstract

In the theory of syndemics, diseases are hypothesized to co-occur in particular temporal or geographical contexts due to harmful social conditions (disease concentration) and to interact at the level of populations and individuals, with mutually enhancing deleterious consequences for HIV risk (disease interaction). Since its original elaboration more than 20 years ago, the epidemiological literature on syndemic problems has followed a questionable trajectory, stemming from the use of a specific type of regression model specification that conveys very little information about the theory of syndemics. In this essay we critically review the dominant approaches to modeling in the literature on syndemics; highlight the stringent assumptions implicit in these models; and describe some meaningful public health implications of the resulting analytical ambiguities. We conclude with specific recommendations for empirical work in this area moving forward.


Url:
DOI: 10.1007/s10461-015-1260-2
PubMed: 26662266
PubMed Central: 4755906

Links to Exploration step

PMC:4755906

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Syndemics and health disparities: a methodological note</title>
<author>
<name sortKey="Tsai, Alexander C" sort="Tsai, Alexander C" uniqKey="Tsai A" first="Alexander C." last="Tsai">Alexander C. Tsai</name>
<affiliation>
<nlm:aff id="A1">MGH Global Health, Massachusetts General Hospital, Boston, Massachusetts, United States</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A2">Harvard Center for Population and Development Studies, Cambridge, Massachusetts, United States</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A3">Mbarara University of Science and Technology, Mbarara, Uganda</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Venkataramani, Atheendar S" sort="Venkataramani, Atheendar S" uniqKey="Venkataramani A" first="Atheendar S." last="Venkataramani">Atheendar S. Venkataramani</name>
<affiliation>
<nlm:aff id="A1">MGH Global Health, Massachusetts General Hospital, Boston, Massachusetts, United States</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A2">Harvard Center for Population and Development Studies, Cambridge, Massachusetts, United States</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A4">Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States</nlm:aff>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">26662266</idno>
<idno type="pmc">4755906</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4755906</idno>
<idno type="RBID">PMC:4755906</idno>
<idno type="doi">10.1007/s10461-015-1260-2</idno>
<date when="2016">2016</date>
<idno type="wicri:Area/Pmc/Corpus">002022</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002022</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">Syndemics and health disparities: a methodological note</title>
<author>
<name sortKey="Tsai, Alexander C" sort="Tsai, Alexander C" uniqKey="Tsai A" first="Alexander C." last="Tsai">Alexander C. Tsai</name>
<affiliation>
<nlm:aff id="A1">MGH Global Health, Massachusetts General Hospital, Boston, Massachusetts, United States</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A2">Harvard Center for Population and Development Studies, Cambridge, Massachusetts, United States</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A3">Mbarara University of Science and Technology, Mbarara, Uganda</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Venkataramani, Atheendar S" sort="Venkataramani, Atheendar S" uniqKey="Venkataramani A" first="Atheendar S." last="Venkataramani">Atheendar S. Venkataramani</name>
<affiliation>
<nlm:aff id="A1">MGH Global Health, Massachusetts General Hospital, Boston, Massachusetts, United States</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A2">Harvard Center for Population and Development Studies, Cambridge, Massachusetts, United States</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A4">Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States</nlm:aff>
</affiliation>
</author>
</analytic>
<series>
<title level="j">AIDS and behavior</title>
<idno type="ISSN">1090-7165</idno>
<idno type="eISSN">1573-3254</idno>
<imprint>
<date when="2016">2016</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p id="P1">In the theory of syndemics, diseases are hypothesized to co-occur in particular temporal or geographical contexts due to harmful social conditions (
<italic>disease concentration</italic>
) and to interact at the level of populations and individuals, with mutually enhancing deleterious consequences for HIV risk (
<italic>disease interaction</italic>
). Since its original elaboration more than 20 years ago, the epidemiological literature on syndemic problems has followed a questionable trajectory, stemming from the use of a specific type of regression model specification that conveys very little information about the theory of syndemics. In this essay we critically review the dominant approaches to modeling in the literature on syndemics; highlight the stringent assumptions implicit in these models; and describe some meaningful public health implications of the resulting analytical ambiguities. We conclude with specific recommendations for empirical work in this area moving forward.</p>
</div>
</front>
</TEI>
<pmc article-type="research-article">
<pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-journal-id">9712133</journal-id>
<journal-id journal-id-type="pubmed-jr-id">21042</journal-id>
<journal-id journal-id-type="nlm-ta">AIDS Behav</journal-id>
<journal-id journal-id-type="iso-abbrev">AIDS Behav</journal-id>
<journal-title-group>
<journal-title>AIDS and behavior</journal-title>
</journal-title-group>
<issn pub-type="ppub">1090-7165</issn>
<issn pub-type="epub">1573-3254</issn>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">26662266</article-id>
<article-id pub-id-type="pmc">4755906</article-id>
<article-id pub-id-type="doi">10.1007/s10461-015-1260-2</article-id>
<article-id pub-id-type="manuscript">NIHMS744631</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Syndemics and health disparities: a methodological note</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Tsai</surname>
<given-names>Alexander C.</given-names>
</name>
<degrees>MD, PhD</degrees>
<xref ref-type="aff" rid="A1">(1)</xref>
<xref ref-type="aff" rid="A2">(2)</xref>
<xref ref-type="aff" rid="A3">(3)</xref>
<xref rid="FN1" ref-type="author-notes">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Venkataramani</surname>
<given-names>Atheendar S.</given-names>
</name>
<degrees>MD, PhD</degrees>
<xref ref-type="aff" rid="A1">(1)</xref>
<xref ref-type="aff" rid="A2">(2)</xref>
<xref ref-type="aff" rid="A4">(4)</xref>
</contrib>
</contrib-group>
<aff id="A1">
<label>(1)</label>
MGH Global Health, Massachusetts General Hospital, Boston, Massachusetts, United States</aff>
<aff id="A2">
<label>(2)</label>
Harvard Center for Population and Development Studies, Cambridge, Massachusetts, United States</aff>
<aff id="A3">
<label>(3)</label>
Mbarara University of Science and Technology, Mbarara, Uganda</aff>
<aff id="A4">
<label>(4)</label>
Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States</aff>
<author-notes>
<corresp id="FN1">
<label>*</label>
Address correspondence to: Alexander Tsai, MD, Massachusetts General Hospital, MGH Global Health, 125 Nashua Street, Ste. 722, Boston MA 02114, United States.
<email>actsai@partners.org</email>
</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted">
<day>15</day>
<month>12</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="ppub">
<month>2</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>01</day>
<month>2</month>
<year>2017</year>
</pub-date>
<volume>20</volume>
<issue>2</issue>
<fpage>423</fpage>
<lpage>430</lpage>
<pmc-comment>elocation-id from pubmed: 10.1007/s10461-015-1260-2</pmc-comment>
<abstract>
<p id="P1">In the theory of syndemics, diseases are hypothesized to co-occur in particular temporal or geographical contexts due to harmful social conditions (
<italic>disease concentration</italic>
) and to interact at the level of populations and individuals, with mutually enhancing deleterious consequences for HIV risk (
<italic>disease interaction</italic>
). Since its original elaboration more than 20 years ago, the epidemiological literature on syndemic problems has followed a questionable trajectory, stemming from the use of a specific type of regression model specification that conveys very little information about the theory of syndemics. In this essay we critically review the dominant approaches to modeling in the literature on syndemics; highlight the stringent assumptions implicit in these models; and describe some meaningful public health implications of the resulting analytical ambiguities. We conclude with specific recommendations for empirical work in this area moving forward.</p>
</abstract>
<kwd-group>
<kwd>AIDS/HIV</kwd>
<kwd>social determinants</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/SidaSubSaharaV1/Data/Pmc/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002022 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd -nk 002022 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Sante
   |area=    SidaSubSaharaV1
   |flux=    Pmc
   |étape=   Corpus
   |type=    RBID
   |clé=     PMC:4755906
   |texte=   Syndemics and health disparities: a methodological note
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/RBID.i   -Sk "pubmed:26662266" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd   \
       | NlmPubMed2Wicri -a SidaSubSaharaV1 

Wicri

This area was generated with Dilib version V0.6.32.
Data generation: Mon Nov 13 19:31:10 2017. Site generation: Wed Mar 6 19:14:32 2024