| Title |
Associations with Unprotected Sexual Behavior Among HIV-Infected Drinkers in Western Kenya
|
|---|---|
| Published in |
AIDS and Behavior, May 2018
|
| DOI | 10.1007/s10461-018-2150-1 |
| Pubmed ID | |
| Authors |
Rebecca K. Papas, Benson N. Gakinya, Michael M. Mwaniki, Xiaotian K. Wu, Hana Lee, Steve Martino, Debra A. Klein, John E. Sidle, Michelle P. Loxley, Alfred K. Keter, Joyce B. Baliddawa, Stephen A. Maisto |
| Abstract |
Approximately 71% of HIV-infected individuals live in sub-Saharan Africa. Alcohol use increases unprotected sex, which can lead to HIV transmission. Little research examines risky sex among HIV-infected individuals in East Africa who are not sex workers. The study purpose was to examine associations with unprotected sex in a high-risk sample of 507 HIV-infected sexually active drinkers in western Kenya. They were enrolled in a trial to reduce alcohol use. Past-month baseline alcohol use and sexual behavior were assessed using the Timeline Followback. A zero-inflated negative binomial model examined associations with occurrence and frequency of unprotected sex. Results showed heavy drinking days were significantly associated with unprotected sex occurrence across gender, and with unprotected sex frequency among women. Among women, transactional sex, alcohol-related sexual expectations, condom use self-efficacy, drinking-and-protected-sex days and age were associated with unprotected sex occurrence while alcohol-related sexual expectations, depressive symptoms and condom use self-efficacy were associated with unprotected sex frequency. Among men, alcohol-related sexual expectations, condom use self-efficacy, and age were associated with unprotected sex occurrence, while drinking-and-protected-sex days were associated with unprotected sex occurrence and frequency. Findings suggest robust relationships between heavy drinking and unprotected sex. Further research is needed elucidating the temporal relationships between drinking and unprotected sex in this population. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Student > Ph. D. Student | 7 | 13% |
| Researcher | 6 | 12% |
| Other | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Other | 6 | 12% |
| Unknown | 17 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 17% |
| Nursing and Health Professions | 8 | 15% |
| Social Sciences | 7 | 13% |
| Psychology | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 20 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 June 2018.
All research outputs
#21,186,729
of 23,849,058 outputs
Outputs from AIDS and Behavior
#3,266
of 3,566 outputs
Outputs of similar age
#290,354
of 329,844 outputs
Outputs of similar age from AIDS and Behavior
#79
of 96 outputs
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