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1.
J Acquir Immune Defic Syndr ; 40(2): 226-35, 2005 Oct 01.
Article in English | MEDLINE | ID: mdl-16186742

ABSTRACT

OBJECTIVE: To examine the predictors of transmission risk among HIV-infected men who have sex with men (MSM) in 4 US cities. METHOD: Individual computer-assisted interviews assessing psychologic measures and sexual behavior with the 5 most recent male and female partners were conducted with a diverse sample of 1910 HIV-infected MSM recruited from community and clinic settings in San Francisco, New York, Los Angeles, and Milwaukee. Transmission-risk events were defined as unprotected vaginal or anal sex with a partner who was HIV negative or of unknown status. RESULTS: A small but not insignificant proportion of MSM (12.7%) reported at least 1 transmission-risk event in the previous 3 months, with 57% of those events taking place with casual as opposed to steady partners. Multivariate predictors of transmission risk with casual partners were stimulant (eg, crystal methamphetamine) and other drug use, having low coping self-efficacy, and not having disclosed one's HIV serostatus to all partners. Stimulant use and failing to disclosing one's serostatus to all partners were associated with risk in primary relationships. CONCLUSIONS: Responding to HIV transmission risk in MSM requires different strategies for primary and casual partners.


Subject(s)
HIV Infections/transmission , Homosexuality, Male , HIV Infections/epidemiology , HIV Infections/psychology , Humans , Male , Risk Factors , Sexual Behavior , Sexual Partners , Substance-Related Disorders , United States/epidemiology
2.
J Pain Symptom Manage ; 29(2): 193-205, 2005 Feb.
Article in English | MEDLINE | ID: mdl-15793937

ABSTRACT

Adverse effects from antiretroviral therapy (ARV) for HIV are associated with medication nonadherence. The purposes of this study were to explore group differences in the reporting of adverse effects, identify individual adverse effects that are linked to nonadherence, and to explore the role of coping in the relationship between adverse effects and adherence. Cross-sectional interviews of 2,765 HIV-positive adults on ARV therapies in four U.S. cities were performed using a computerized assessment of self-reported adverse effects, coping self-efficacy, and adherence. There were no gender differences in the rate or severity of adverse effects reported. Latino respondents reported more adverse effects than either White or African Americans. Those taking a protease inhibitor (PI) reported a higher rate and greater severity of adverse effects. Older participants reported fewer adverse effects despite being more likely to be on a regimen containing a PI. Respondents with less than 90% adherence reported greater numbers and severity of adverse effects overall. In multivariate analyses, nausea, skin problems, vomiting, and memory adverse effects were independently related to less than 90% adherence over the prior three days. Coping moderated the relationship between nausea and adherence such that individuals who reported lower coping self-efficacy and experienced nausea were at increased risk for nonadherence, regardless of the length of time on the current ARV regimen. Women and men are similar in their overall reports of adverse effects, and Latinos report more adverse effects to ARVs than White or African American patients. Specific adverse effects (skin problems, memory problems, vomiting, and nausea) are more likely than others to be associated with missing ARV medications. Increasing adaptive coping self-efficacy among patients experiencing nausea may be a particularly effective strategy in increasing medication adherence.


Subject(s)
Acquired Immunodeficiency Syndrome/drug therapy , Acquired Immunodeficiency Syndrome/epidemiology , Anti-Retroviral Agents/therapeutic use , Antiretroviral Therapy, Highly Active/statistics & numerical data , Attitude to Health , Perception , Risk Assessment/methods , Adaptation, Psychological , Adult , Comorbidity , Data Collection , Educational Status , Employment/statistics & numerical data , Female , Humans , Male , Patient Compliance/statistics & numerical data , Risk Factors , Sex Distribution , Sexual Behavior/statistics & numerical data , United States/epidemiology
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