Le SIDA en Afrique subsaharienne (serveur d'exploration)

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Alcohol use and its association with HIV risk behaviors among a cohort of patients attending HIV clinical care in Tanzania, Kenya, and Namibia

Identifieur interne : 002102 ( Main/Exploration ); précédent : 002101; suivant : 002103

Alcohol use and its association with HIV risk behaviors among a cohort of patients attending HIV clinical care in Tanzania, Kenya, and Namibia

Auteurs : Amy Medley [États-Unis] ; Puja Seth [États-Unis] ; Sonal Pathak [États-Unis] ; Andrea A. Howard [États-Unis] ; Nickolas Deluca [États-Unis] ; Eva Matiko [Tanzanie] ; Abubakari Mwinyi [Tanzanie] ; Frieda Katuta [Namibie] ; Mushin Sheriff [Kenya] ; Neema Makyao [Tanzanie] ; Lucy Wanjiku [Kenya] ; Carol Ngare [Kenya] ; Pamela Bachanas [États-Unis]

Source :

RBID : Pascal:14-0230750

Descripteurs français

English descriptors

Abstract

This article describes the frequency of alcohol use among HIV-positive patients attending clinical care in sub-Saharan Africa and explores the association between alcohol use, medication adherence, and sexual risk behavior. Data from 3538 patients attending an HIV clinic in Kenya, Tanzania, or Namibia were captured through interview and medical record abstraction. Participants were categorized into three drinking categories: nondrinkers, nonharmful drinkers, and harmful/likely dependent drinkers. A proportional odds model was used to identify correlates associated with categories of alcohol use. Overall, 20% of participants reported alcohol use in the past 6 months; 15% were categorized as nonharmful drinkers and 5% as harmful/likely dependent drinkers. Participants who reported missing a dose of their HIV medications [adjusted odds ratio (AOR): 2.04, 95% confidence interval (CI): 1.67, 2.49]; inconsistent condom use (AOR: 1.49, 95% CI: 1.23, 1.79); exchanging sex for food, money, gifts, or a place to stay (AOR: 1.57, 95% CI: 1.06, 2.32); and having a sexually transmitted infection symptom (AOR: 1.40, 95% CI: 1.10, 1.77) were more likely to be categorized in the higher risk drinking categories. This research highlights the need to integrate alcohol screening and counseling into the adherence and risk reduction counseling offered to HIV-positive patients as part of their routine care. Moreover, given the numerous intersections between alcohol and HIV, policies that focus on reducing alcohol consumption and alcohol-related risk behavior should be integrated into HIV prevention, care, and treatment strategies.

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Le document en format XML

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<term>Proportional Hazards Models</term>
<term>Public health</term>
<term>Risk behaviour</term>
<term>Risk-Taking</term>
<term>Sex Factors</term>
<term>Sexual Partners (classification)</term>
<term>Sexual behavior</term>
<term>Social environment</term>
<term>Socioeconomic Factors</term>
<term>Sub-Saharan Africa</term>
<term>Substance abuse</term>
<term>Tanzania</term>
<term>Tanzania (epidemiology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Adulte</term>
<term>Alcoolisme ()</term>
<term>Alcoolisme (épidémiologie)</term>
<term>Consommation d'alcool ()</term>
<term>Consommation d'alcool (épidémiologie)</term>
<term>Facteurs sexuels</term>
<term>Facteurs socioéconomiques</term>
<term>Femelle</term>
<term>Humains</term>
<term>Hyperalcoolisation rapide (épidémiologie)</term>
<term>Infections à VIH (traitement médicamenteux)</term>
<term>Infections à VIH (transmission)</term>
<term>Kenya (épidémiologie)</term>
<term>Modèles de hasards proportionnels</term>
<term>Mâle</term>
<term>Namibie (épidémiologie)</term>
<term>Observance du traitement médicamenteux ()</term>
<term>Partenaire sexuel ()</term>
<term>Prise de risque</term>
<term>Préservatifs masculins (utilisation)</term>
<term>Situation de famille</term>
<term>Tanzanie (épidémiologie)</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en">
<term>Kenya</term>
<term>Namibia</term>
<term>Tanzania</term>
</keywords>
<keywords scheme="MESH" qualifier="classification" xml:lang="en">
<term>Sexual Partners</term>
</keywords>
<keywords scheme="MESH" qualifier="drug therapy" xml:lang="en">
<term>HIV Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en">
<term>Alcohol Drinking</term>
<term>Alcoholism</term>
<term>Binge Drinking</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en">
<term>Alcohol Drinking</term>
<term>Alcoholism</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en">
<term>Medication Adherence</term>
</keywords>
<keywords scheme="MESH" qualifier="traitement médicamenteux" xml:lang="fr">
<term>Infections à VIH</term>
</keywords>
<keywords scheme="MESH" qualifier="transmission" xml:lang="en">
<term>HIV Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="utilisation" xml:lang="fr">
<term>Préservatifs masculins</term>
</keywords>
<keywords scheme="MESH" qualifier="utilization" xml:lang="en">
<term>Condoms</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr">
<term>Alcoolisme</term>
<term>Consommation d'alcool</term>
<term>Hyperalcoolisation rapide</term>
<term>Infections à VIH</term>
<term>Kenya</term>
<term>Namibie</term>
<term>Tanzanie</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Adult</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Marital Status</term>
<term>Proportional Hazards Models</term>
<term>Risk-Taking</term>
<term>Sex Factors</term>
<term>Socioeconomic Factors</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Adulte</term>
<term>Alcoolisme</term>
<term>Boisson alcoolisée</term>
<term>Consommation</term>
<term>Consommation d'alcool</term>
<term>Facteurs sexuels</term>
<term>Facteurs socioéconomiques</term>
<term>Femelle</term>
<term>Humains</term>
<term>Modèles de hasards proportionnels</term>
<term>Mâle</term>
<term>Observance du traitement médicamenteux</term>
<term>Partenaire sexuel</term>
<term>Prise de risque</term>
<term>SIDA</term>
<term>Situation de famille</term>
<term>Virus immunodéficience humaine</term>
<term>Comportement à risque</term>
<term>Comportement sexuel</term>
<term>Abus de substance</term>
<term>Tanzanie</term>
<term>Kenya</term>
<term>Namibie</term>
<term>Afrique subsaharienne</term>
<term>Santé publique</term>
<term>Santé mentale</term>
<term>Environnement social</term>
<term>Homme</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr">
<term>Kenya</term>
<term>Namibie</term>
<term>Tanzanie</term>
<term>Kenya</term>
<term>Namibie</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Boisson alcoolisée</term>
<term>Consommation</term>
<term>Santé publique</term>
<term>Santé mentale</term>
<term>Homme</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">This article describes the frequency of alcohol use among HIV-positive patients attending clinical care in sub-Saharan Africa and explores the association between alcohol use, medication adherence, and sexual risk behavior. Data from 3538 patients attending an HIV clinic in Kenya, Tanzania, or Namibia were captured through interview and medical record abstraction. Participants were categorized into three drinking categories: nondrinkers, nonharmful drinkers, and harmful/likely dependent drinkers. A proportional odds model was used to identify correlates associated with categories of alcohol use. Overall, 20% of participants reported alcohol use in the past 6 months; 15% were categorized as nonharmful drinkers and 5% as harmful/likely dependent drinkers. Participants who reported missing a dose of their HIV medications [adjusted odds ratio (AOR): 2.04, 95% confidence interval (CI): 1.67, 2.49]; inconsistent condom use (AOR: 1.49, 95% CI: 1.23, 1.79); exchanging sex for food, money, gifts, or a place to stay (AOR: 1.57, 95% CI: 1.06, 2.32); and having a sexually transmitted infection symptom (AOR: 1.40, 95% CI: 1.10, 1.77) were more likely to be categorized in the higher risk drinking categories. This research highlights the need to integrate alcohol screening and counseling into the adherence and risk reduction counseling offered to HIV-positive patients as part of their routine care. Moreover, given the numerous intersections between alcohol and HIV, policies that focus on reducing alcohol consumption and alcohol-related risk behavior should be integrated into HIV prevention, care, and treatment strategies.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Kenya</li>
<li>Namibie</li>
<li>Tanzanie</li>
<li>États-Unis</li>
</country>
<region>
<li>Géorgie (États-Unis)</li>
<li>État de New York</li>
</region>
<settlement>
<li>New York</li>
</settlement>
<orgName>
<li>Université Columbia</li>
</orgName>
</list>
<tree>
<country name="États-Unis">
<region name="Géorgie (États-Unis)">
<name sortKey="Medley, Amy" sort="Medley, Amy" uniqKey="Medley A" first="Amy" last="Medley">Amy Medley</name>
</region>
<name sortKey="Bachanas, Pamela" sort="Bachanas, Pamela" uniqKey="Bachanas P" first="Pamela" last="Bachanas">Pamela Bachanas</name>
<name sortKey="Deluca, Nickolas" sort="Deluca, Nickolas" uniqKey="Deluca N" first="Nickolas" last="Deluca">Nickolas Deluca</name>
<name sortKey="Howard, Andrea A" sort="Howard, Andrea A" uniqKey="Howard A" first="Andrea A." last="Howard">Andrea A. Howard</name>
<name sortKey="Pathak, Sonal" sort="Pathak, Sonal" uniqKey="Pathak S" first="Sonal" last="Pathak">Sonal Pathak</name>
<name sortKey="Seth, Puja" sort="Seth, Puja" uniqKey="Seth P" first="Puja" last="Seth">Puja Seth</name>
</country>
<country name="Tanzanie">
<noRegion>
<name sortKey="Matiko, Eva" sort="Matiko, Eva" uniqKey="Matiko E" first="Eva" last="Matiko">Eva Matiko</name>
</noRegion>
<name sortKey="Makyao, Neema" sort="Makyao, Neema" uniqKey="Makyao N" first="Neema" last="Makyao">Neema Makyao</name>
<name sortKey="Mwinyi, Abubakari" sort="Mwinyi, Abubakari" uniqKey="Mwinyi A" first="Abubakari" last="Mwinyi">Abubakari Mwinyi</name>
</country>
<country name="Namibie">
<noRegion>
<name sortKey="Katuta, Frieda" sort="Katuta, Frieda" uniqKey="Katuta F" first="Frieda" last="Katuta">Frieda Katuta</name>
</noRegion>
</country>
<country name="Kenya">
<region name="État de New York">
<name sortKey="Sheriff, Mushin" sort="Sheriff, Mushin" uniqKey="Sheriff M" first="Mushin" last="Sheriff">Mushin Sheriff</name>
</region>
<name sortKey="Ngare, Carol" sort="Ngare, Carol" uniqKey="Ngare C" first="Carol" last="Ngare">Carol Ngare</name>
<name sortKey="Wanjiku, Lucy" sort="Wanjiku, Lucy" uniqKey="Wanjiku L" first="Lucy" last="Wanjiku">Lucy Wanjiku</name>
</country>
</tree>
</affiliations>
</record>

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