6th IAS Conference On HIV Pathogenesis, Treatment and Prevention

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Measuring personalized stigma subscale in HIV population at a referral hospital in Peru

O. Chincha Lino1, K. Cruz2, P. Cerdeña2, M.A. Gonzales2,3, B. Valencia2,4, P. Legua1,2,4, F. Samalvides1,2,4

1Hospital Nacional Cayetano Heredia, Lima, Peru, 2Universidad Peruana Cayetano Heredia, Lima, Peru, 3Instituo Nacional de Salud, Lima, Peru, 4Instituto de Medicina Tropical Alexander von Humboldt, Lima, Peru

Background: To determine the association of epidemiological data and sexual behavior with a stigma scale among HIV patients attending an infectious disease unit in a Peruvian referral hospital.
Methods: A cross-sectional prospective study was undertaken with Berger´s scale in Spanish. We compared epidemiological data and sexual behavior according with Personalized Stigma results in HIV patients. Significance (p< 0.05) and 95% confidence intervals (95%CI) were used.
Results: We included 173 HIV-positive participants (hospitalized and outpatients). Reported stigma among women (70.91%) was not statistically different compared to men (61.54%, p = 0.23). The bivariate analysis is shown in the following table A.Sex with multiple sexual partners (OR = 4.37 [1.43 - 13.32]), AIDS stage (OR = 2.82 [1.11 - 7.12]), unemployment (OR = 2.74 [1.25 - 5.98]) and other non infectious diseases 2.93 (OR = 1.32 [1.32 - 6.48]) were factors associated with personalized stigma in multivariate analysis.
Conclusion: In this analysis, personalized stigma was associated with having sex with multiple sexual partners, AIDS stage, unemployment, and the presence of non infectious diseases. Education and counseling should be improved among HIV patients to increase self-esteem. We need improve Berger´s scale in Spanish.

 OR95% CIp
Age0.960.93-0.990.02
Unemployment2.261.14-4.480.01
Income0.510.26-0.980.04
Sex with multiple sexual partners4.141.51-11.340.00
AIDS stage2.711.20-6.140.01
Other non infection diseases3.801.82-7.900.00
History of depression2.831.33-6.030.00
History of scabies4.561.00-20.660.04
[table A: analysis bivariate]



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