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1.
J Epidemiol Glob Health ; 3(1): 31-9, 2013 Mar.
Article in English | MEDLINE | ID: mdl-23856536

ABSTRACT

There is increased emphasis on physician attention to the overall health and wellness of homosexual and bisexual men, though little is known about the health-related attitudes of these groups. This study determined factors associated with the health attitudes of homosexual and bisexual men and identified preferred sources of health information. For this study, the 2008 ConsumerStyles panel survey was used to create three health attitude scales and to determine factors associated with each scale. The three scales were labeled: (1) health motivation; (2) relationship with health care provider; and (3) self-perception of health literacy. In addition to other factors, higher scores for health motivation and relationship with health care provider were associated with black compared with white men. In contrast, lower scores for self-perception of health literacy were associated with black compared with white men. For information on an unfamiliar health condition, most homosexual and bisexual men chose the Internet. Black homosexual and bisexual men reported being motivated to be healthy and working well with their health care provider to manage their health. However, their perception of their own health literacy [corrected] was low compared with the white men. Attempts to improve health literacy through Internet sites may be helpful in improving health attitudes and reducing negative health outcomes.


Subject(s)
Attitude to Health , Bisexuality/statistics & numerical data , Health Literacy , Homosexuality, Male/statistics & numerical data , Patient Acceptance of Health Care/statistics & numerical data , Sexual Behavior , Adult , Age Factors , Bisexuality/psychology , Confidence Intervals , Cross-Sectional Studies , Health Behavior , Health Personnel , Homosexuality, Male/psychology , Humans , Male , Middle Aged , Odds Ratio , Risk Assessment , Self Concept , Sexually Transmitted Diseases/prevention & control , Socioeconomic Factors , Surveys and Questionnaires , United States , Young Adult
2.
J Acquir Immune Defic Syndr ; 60(4): 421-7, 2012 Aug 01.
Article in English | MEDLINE | ID: mdl-22487585

ABSTRACT

BACKGROUND: To implement biomedical and other intensive HIV prevention interventions cost-effectively, busy care providers need validated, rapid, risk screening tools for identifying persons at highest risk of incident infection. METHODS: To develop and validate an index, we included behavioral and HIV test data from initially HIV-uninfected men who have sex with men who reported no injection drug use during semiannual interviews in the VaxGen VAX004 study and Project Explore HIV prevention trials. Using generalized estimating equations and logistic regression analyses, we identified significant predictors of incident HIV infection, then weighted and summed their regression coefficients to create a risk index score. RESULTS: The final logistic regression model included age, and the following behaviors reported during the past 6 months: total number of male sex partners, total number of HIV-positive male sex partners, number of times the participant had unprotected receptive anal sex with a male partner of any HIV status, number of times the participant had insertive anal sex with an HIV-positive male partner, whether the participant reported using poppers, and whether they reported using amphetamines. The area under the receiver operating characteristic curve was 0.74, possible scores on index range from 0 to 47 and a score ≥10 had as sensitivity of 84% and a specificity of 45%, levels appropriate for a screening tool. CONCLUSIONS: We developed an easily administered and scored 7-item screening index with a cutoff that is predictive of HIV seroconversion in 2 large prospective cohorts of US men who have sex with men. The index can be used to prioritize patients for intensive HIV prevention efforts (eg, preexposure prophylaxis).


Subject(s)
Decision Support Techniques , HIV Infections/diagnosis , HIV Infections/prevention & control , Homosexuality, Male , Mass Screening/methods , Adolescent , Adult , Cohort Studies , Humans , Male , Middle Aged , Prospective Studies , Risk Assessment/methods , United States , Young Adult
3.
J Infect Dev Ctries ; 6(12): 870-80, 2012 Dec 15.
Article in English | MEDLINE | ID: mdl-23276741

ABSTRACT

INTRODUCTION: In an analysis of baseline findings of an HIV incidence cohort study, an assessment was made of HIV prevalence among persons presenting for enrollment and any differences in demographic characteristics between persons not enrolled compared to those enrolled. We also described and compared HIV risk behaviors in males and females enrolled in the study. METHODOLOGY: A computer-assisted survey was administered to collect baseline demographic and HIV risk data from 1,277 men and women aged 18-34 years. Testing for HIV and other sexually transmitted infections (STI) was conducted. Out of 1,277 persons prescreened for eligibility, 625 were enrolled. RESULTS: HIV prevalence of all persons who completed screening was 14.8% (females: 21.1%; males: 8.1%). The odds of being enrolled in the study were higher for persons 18-24 years compared to those 30-34 years of age [adjusted odds ratio (AOR)=2.18, CI=1.13, 4.21] and males compared to females [AOR=2.07, CI=1.43, 2.99]. Among those enrolled in the study, the most prevalent HIV risk behaviors were unprotected sex (49%), alcohol use (45%), and transactional sex (30%) in the last three months. Compared to females, a significantly greater proportion of males reported using any alcohol or recreational drug in the last three months, a history of oral sex, sex with partner other than a spouse or main partner, ever having a blood transfusion, ever being treated for an STI, and having knowledge of their last HIV test result. CONCLUSION: The Kisumu Field Station successfully recruited individuals with HIV risk characteristics for the HIV incidence cohort study.


Subject(s)
HIV Infections/epidemiology , Adolescent , Adult , Cohort Studies , Computers , Data Collection , Female , HIV Infections/prevention & control , Humans , Kenya/epidemiology , Male , Prevalence , Prospective Studies , Risk-Taking , Sex Distribution , Surveys and Questionnaires , Young Adult
4.
J. infect. dev. ctries ; 6(12): 870-880, 2012.
Article in English | AIM (Africa) | ID: biblio-1263622

ABSTRACT

Introduction: In an analysis of baseline findings of an HIV incidence cohort study; an assessment was made of HIV prevalence among persons presenting for enrollment and any differences in demographic characteristics between persons not enrolled compared to those enrolled. We also described and compared HIV risk behaviors in males and females enrolled in the study. Methodology: A computer-assisted survey was administered to collect baseline demographic and HIV risk data from 1;277 men and women aged 18-34 years. Testing for HIV and other sexually transmitted infections (STI) was conducted. Out of 1;277 persons prescreened for eligibility; 625 were enrolled. Results: HIV prevalence of all persons who completed screening was 14.8 (females: 21.1; males: 8.1). The odds of being enrolled in the study were higher for persons 18-24 years compared to those 30-34 years of age [adjusted odds ratio (AOR)=2.18; CI=1.13; 4.21] and males compared to females [AOR=2.07; CI=1.43; 2.99]. Among those enrolled in the study; the most prevalent HIV risk behaviors were unprotected sex (49); alcohol use (45); and transactional sex (30) in the last three months. Compared to females; a significantly greater proportion of males reported using any alcohol or recreational drug in the last three months; a history of oral sex; sex with partner other than a spouse or main partner; ever having a blood transfusion; ever being treated for an STI; and having knowledge of their last HIV test result. Conclusion: The Kisumu Field Station successfully recruited individuals with HIV risk characteristics for the HIV incidence cohort study


Subject(s)
Cohort Studies , HIV Infections , Population Characteristics , Prevalence , Risk-Taking
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