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Age-Related Differences in Socio-demographic and Behavioral Determinants of HIV Testing and Counseling in HPTN 043/NIMH Project Accept.

Publication ,  Journal Article
Salazar-Austin, N; Kulich, M; Chingono, A; Chariyalertsak, S; Srithanaviboonchai, K; Gray, G; Richter, L; van Rooyen, H; Morin, S; Sweat, M ...
Published in: AIDS Behav
February 2018

Youth represent a large proportion of new HIV infections worldwide, yet their utilization of HIV testing and counseling (HTC) remains low. Using the post-intervention, cross-sectional, population-based household survey done in 2011 as part of HPTN 043/NIMH Project Accept, a cluster-randomized trial of community mobilization and mobile HTC in South Africa (Soweto and KwaZulu Natal), Zimbabwe, Tanzania and Thailand, we evaluated age-related differences among socio-demographic and behavioral determinants of HTC in study participants by study arm, site, and gender. A multivariate logistic regression model was developed using complete individual data from 13,755 participants with recent HIV testing (prior 12 months) as the outcome. Youth (18-24 years) was not predictive of recent HTC, except for high-risk youth with multiple concurrent partners, who were less likely (aOR 0.75; 95% CI 0.61-0.92) to have recently been tested than youth reporting a single partner. Importantly, the intervention was successful in reaching men with site specific success ranging from aOR 1.27 (95% CI 1.05-1.53) in South Africa to aOR 2.30 in Thailand (95% CI 1.85-2.84). Finally, across a diverse range of settings, higher education (aOR 1.67; 95% CI 1.42, 1.96), higher socio-economic status (aOR 1.21; 95% CI 1.08-1.36), and marriage (aOR 1.55; 95% CI 1.37-1.75) were all predictive of recent HTC, which did not significantly vary across study arm, site, gender or age category (18-24 vs. 25-32 years).

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Published In

AIDS Behav

DOI

EISSN

1573-3254

Publication Date

February 2018

Volume

22

Issue

2

Start / End Page

569 / 579

Location

United States

Related Subject Headings

  • Zimbabwe
  • Young Adult
  • Thailand
  • Tanzania
  • South Africa
  • Socioeconomic Factors
  • Sexual Partners
  • Public Health
  • Patient Acceptance of Health Care
  • Mass Screening
 

Citation

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Salazar-Austin, N., Kulich, M., Chingono, A., Chariyalertsak, S., Srithanaviboonchai, K., Gray, G., … NIMH Project Accept (HPTN 043) Study Team, . (2018). Age-Related Differences in Socio-demographic and Behavioral Determinants of HIV Testing and Counseling in HPTN 043/NIMH Project Accept. AIDS Behav, 22(2), 569–579. https://doi.org/10.1007/s10461-017-1807-5
Salazar-Austin, N., M. Kulich, A. Chingono, S. Chariyalertsak, K. Srithanaviboonchai, G. Gray, L. Richter, et al. “Age-Related Differences in Socio-demographic and Behavioral Determinants of HIV Testing and Counseling in HPTN 043/NIMH Project Accept.AIDS Behav 22, no. 2 (February 2018): 569–79. https://doi.org/10.1007/s10461-017-1807-5.
Salazar-Austin N, Kulich M, Chingono A, Chariyalertsak S, Srithanaviboonchai K, Gray G, et al. Age-Related Differences in Socio-demographic and Behavioral Determinants of HIV Testing and Counseling in HPTN 043/NIMH Project Accept. AIDS Behav. 2018 Feb;22(2):569–79.
Salazar-Austin, N., et al. “Age-Related Differences in Socio-demographic and Behavioral Determinants of HIV Testing and Counseling in HPTN 043/NIMH Project Accept.AIDS Behav, vol. 22, no. 2, Feb. 2018, pp. 569–79. Pubmed, doi:10.1007/s10461-017-1807-5.
Salazar-Austin N, Kulich M, Chingono A, Chariyalertsak S, Srithanaviboonchai K, Gray G, Richter L, van Rooyen H, Morin S, Sweat M, Mbwambo J, Szekeres G, Coates T, Celentano D, NIMH Project Accept (HPTN 043) Study Team. Age-Related Differences in Socio-demographic and Behavioral Determinants of HIV Testing and Counseling in HPTN 043/NIMH Project Accept. AIDS Behav. 2018 Feb;22(2):569–579.
Journal cover image

Published In

AIDS Behav

DOI

EISSN

1573-3254

Publication Date

February 2018

Volume

22

Issue

2

Start / End Page

569 / 579

Location

United States

Related Subject Headings

  • Zimbabwe
  • Young Adult
  • Thailand
  • Tanzania
  • South Africa
  • Socioeconomic Factors
  • Sexual Partners
  • Public Health
  • Patient Acceptance of Health Care
  • Mass Screening