Share your thoughts on this presentation with #IAS2019

Slides:



Advertisements
Similar presentations
1 Severe morbidity among HIV- infected patients : a comparison between a Brazilian and a French clinic based observational cohort FIOCRUZ: Prof B Grinsztejn.
Advertisements

Correlates of polydrug use among injection drug users: The role of socioeconomic stress and quality of life Marrero CA, Robles RR, Reyes JC, Matos TD,
HIV Risk Behaviors and Alcohol Intoxication among Injection Drug Users in Puerto Rico Tomás D. Matos, MS Center for Addiction Studies Universidad Central.
Acknowledgements Methods Veena A. Satyanarayana PhD, Susan Bradford BSEd, Arbi Ben Abdallah DES, Linda B. Cottler PhD, MPH, Washington University School.
Sexual Risk Behaviors and Sexually Transmitted Infection (STI) Prevalence in an Outpatient Psychiatry Clinic LH Bachmann 1,2, J Feldman 1, Y Waithaka 1.
Promoting Gender Equity Among Men to Reduce HIV/STI Risk Julie Pulerwitz, ScD Horizons/Population Council & PATH.
Wei Hao, MD. Mental Health Institute WHO Collaborating Center for Drug Abuse and Health Central South University Prevalence Rates and Related Factors of.
Racial Disparities in Antiretroviral Therapy Use and Viral Suppression among Sexually Active HIV-infected Men who have Sex with Men— United States, Medical.
High Prevalence of Sexual Minority Status in a Sample of Women at High Risk for HIV Infection: Associated Individual-level Factors and Sexual Risk Behaviors.
Dealing with bi-directionality in mental health research: The experience of the mental health project of the MRC/UVRI E. Kinyanda 1,2 1 MRC/UVRI Uganda.
Typologies of Alcohol Dependent Cocaine-using Women Enrolled in a Community-based HIV Intervention Victoria A. Osborne, Ph.D., MSW*, Linda B. Cottler,
PrEP uptake and associated factors among MSM and TGW in the PrEP Brasil demonstration project Brenda Hoagland, Valdilea G. Veloso, Raquel B. De Boni, José.
Drug users in Amsterdam: are they still at risk for HIV? Nienke van der Knaap, Bart Grady, Maarten Schim van der Loeff, Titia Heijman, Arjen Speksnijder,
Prevalence and risk factors for self-reported sexually transmitted infections among adults in the Diepsloot informal settlement, Johannesburg, South Africa.
Jessica Carag MS Candidate Public Health Microbiology & Emerging Infectious Diseases Milken Institute School of Public Health The George Washington University.
THE 6 TH NATIONAL SCIENTIFIC CONFERENCE ON HIV/AIDS Study on Transgender Women’s Health and Well-being in Ho Chi Minh City, Vietnam (TransVN Study) Le.
Stephen Nkansah-Amankra, PhD, MPH, MA 1, Abdoulaye Diedhiou, MD, PHD, H.L.K. Agbanu, MPhil, Curtis Harrod, MPH, Ashish Dhawan, MD, MSPH 1 University of.
Housing Status and HIV Risk Behaviors Among Homeless and Housed Persons with HIV in the United States The findings and conclusions in this presentation.
HIV and STI Prevalence among Men who Have Sex with Men in 3 Major Cities in Nigeria Sylvia Adebajo 1,2, Waimar Tun 2, Andrew Karlyn 2, Lung Vu 2, Idogho.
Associations Between Recent Gender- Based Violence and Pregnancy, Sexually Transmitted Infections, Condom Use Practices, and Negotiation of Sexual Practices.
Differences between undiagnosed, HIV-positive and HIV-negative Black transgender women in the United States: Results from POWER Presented by Leigh A. Bukowski,
Forced Sexual Violence and HIV Infection among MSM in Tamil Nadu Presented by Santosh Kumar Sharma On behalf of Rakesh Kumar Singh Ph.D Research Scholar.
“A hora é agora”- The Time is Now: HIVST to reach men who have sex with men in Brazil” Raquel B. De Boni, MD, PhD PI: Beatriz Grinsztejn, MD, PhD National.
Why don’t Key Populations Access HIV
Seeking HIV-testing Only: Missed Opportunity for HIV Prevention?
Is on-demand PrEP a suitable tool for MSM who practice chemsex
ScWk 298 Quantitative Review Session
IAS Satellite Session 25th July 2017 Daniel Were, PhD
1University of Kentucky, Lexington, Kentucky
Kimberly Jeffries Leonard, Ph.D.
Gender disparities in self-reported fear of an intimate partner
Therese Fitzgerald, LCSW, MSW
Impact of Sleep Disturbances on Post-Traumatic Stress Disorder Symptoms and Perceived Health Geneviève Belleville1,2, Stéphane Guay2, & André Marchand1,2.
Joanne Pavao, MPH Study for Health & Employment
Maria Cabrera Escobar Nkosinathi Ngcobo & Timothy Quinlan
High level of retention and adherence at week 48 for MSM and TGW enrolled in the PrEP Brasil demonstration study Beatriz Grinsztejn, Brenda Hoagland, Ronaldo.
No conflicts of interest to declare.
Psychosocial and behavioral predictors of partner notification for STD and HIV exposure among MSM Matthew J. Mimiaga, ScD, MPH, Sari L. Reisner, MA,
Daniulaityte, R., Falck, R., & Carlson, R. Introduction
Women’s recent experience of emotional intimate partner violence is independently associated with HIV-risk behaviours: a cross-sectional study of young.
R. Ross MacLean, Gabrielle E. Shishkoff & Stephen J. Wilson
Conclusions & Implications
Kristen Williams, Jonathan J.K. Stoltman, and Mark K. Greenwald
Maternal Demographics
Understanding Associations Between Serious Mental Illness and Hepatitis C among Veterans: A National Multivariate Analysis Seth Himelhoch, MD, MPH,1,2.
Monitoring and Evaluation for Disability-inclusive Meeting
Lysa Silveira Remy, BA, MSc.
Believed discrimination occurred because of their:
Department of Community Medicine, LAUTECH Teaching Hospital, Ogbomoso
Micro-level Social and Structural Syndemic of HIV Risk among Nepalese Female Sex Workers Keshab Deuba, Sarah Anderson, Anna Mia Ekström, Satish Raj Pandey,
One pill a day, can keep HIV away
John de Wit1,2, Dean Murphy2,3, Luxi Lal4,5,6, Jennifer Audsley5,7, Christopher K. Fairley8,9, Mark Stoove4,10, Norm Roth11, Richard Moore12, Ban K.
Alcohol drinking in pregnancy: some predictors among Portuguese women
Factors Associated with HIV Infection among Transgender Women in Cambodia: Results from a National Integrated Biological and Behavioral Survey Siyan Yi,
The cost-effectiveness of HIV pre-exposure prophylaxis in high-risk men who have sex with men and transgendered women in Brazil Paula M. Luz, Ben Osher,
PrEParedness for the Rollout of Effective HIV Prevention among Key Affected Populations in Brazil, Peru, and Mexico The Imprep pROJECT Valdiléa G. Veloso,
Hepatitis B Vaccination Assessment Adults Aged Years National Health Interview Survey, 2000 Gary L. Euler, DrPH1, Hussain Yusuf, MBBS2, Shannon.
The Relationship between Recent Alcohol Use and Sexual Behaviors/STDs: Gender Differences among STD Clinic Patients Heidi E. Hutton PhD, Mary E. McCaul.
North Carolina Medical Monitoring Project
VACS Scientific Meeting Houston, TX February 2004
Brett Harris, DrPH AMERSA Conference November 2-4, 2017
PrEP scale up and STI management in Brazil
Share your thoughts on this presentation with #IAS2019
Share your thoughts on this presentation with #IAS2019
Share your thoughts on this presentation with #IAS2019
Reshmie Ramautarsing, M.D., Ph.D.
High levels of depression among Peruvian men who have sex with men and transgender women: implications for HIV prevention and treatment care Jerome T.
Oscar Beltran, Ph.D. Deputy Director, Programa Compañeros, A.C.
Share your thoughts on this presentation with #IAS2019
Share your thoughts on this presentation with #IAS2019
Presentation transcript:

Share your thoughts on this presentation with #IAS2019 Evaluation of syndemics in transgender women (TGW) using pre-exposure prophylaxis (PrEP) for HIV prevention: preliminary findings Michelle Ramos¹, Emilia Jalil¹, Flavia Lessa¹, Cristiane Castro¹, Cristina Jalil¹, Eduardo Carvalheira¹, Laylla Monteiro¹, Cléo Souza¹, Biancka Fernandes¹, Luciana Kamel¹, Ronaldo I. Moreira¹, Vinicius Pacheco¹, Valdilea Veloso¹, Beatriz Grinsztejn¹, Raquel B. De Boni¹. 1 LAPCLIN-AIDS, Instituto Nacional de Infectologia Evandro Chagas (INI) FIOCRUZ, Rio de Janeiro, Brazil Share your thoughts on this presentation with #IAS2019

BACKGROUND What is syndemic? Transgender women (TGW) The cluster of ≥2 health/social conditions that interact and increase the occurrence of other health problems. Transgender women (TGW) Key- population for HIV infection 19.1% of HIV prevalence worldwide ² Brazil : 31.2% population estimates by Transcender³, 30.0% by DIVAS (12 Brazilian cities) Limited academic literature on syndemics among TGW PrEP : Available at no cost at Brazilian public health system (SUS) since 2017 ¹Singer M, 1994;²Baral et al., 2013; ³ GRINSZTEJN et al., 2018; (BASTOS et al., 2018)

OBJECTIVE To assess syndemics prevalence and its associated factors among TGW screened for the PrEParadas Study – first Brazilian trans-specific PrEP demonstration project (initial primary findings presented at IAS 2019 session: TUAC0302 – Start stop restart: Supporting effective PrEP use)

METHODS Secondary cross-sectional analysis of PrEParadas study Inclusion criteria for PrEParadas: being TGW, living at Rio de Janeiro or metropolitan area, 18+ years, at risk for HIV infection All TGW with valid results for the primary outomes at screening were included in this analysis Data collection at screening visit Measures OUTCOME: Syndemic Standardized and validated questionnaires screening for: Polysubstance use (ASSIST)¹ Binge drinking² Depression(PHQ-9)³ Sexual compulsive behavior (SCB) Intimate partner violence (IPV) Syndemic ≥ 2 ¹ASSIST (WHO), ² Binge drinking (NIAAA,2004), ³ PHQ-9(KROENKE et. al, 2001,  SCB(PARSONS, 2016)

METHODS Study variables Sociodemographics (age, race/color, education, employment status, marital status) Sexual risk : condomless anal sex, sexually transmitted infections (STI), sex with a HIV positive partner, transactional sex, post-exposure prophylaxis (PEP), HIV testing, perceived likelihood of getting HIV Mental health: anxiety (GAD-7)*, high impulsivity (Barrat Impulsiveness Scale-11)*², substance abuse/dependence, suicide risk Vulnerabilities: physical/ sexual violence, child abuse, school dropout Gender discrimination Statistical Analysis Bivariate analysis: Chi-square, Fisher’s exact test and Mann–Whitney U test Multiple logistic regression including variables with p<0.2 at bivariate *SPITZER RL, et al, 2006;*²PATTON JH, 1995

147 TGW screened and 143 had valid results for outcome variables. Prevalence of syndemic conditions among 143 TGW screened for PrEPARADAS study. Rio de Janeiro, Brazil, 2018 

NUMBER OF SYNDEMIC CONDITIONS AMONG TGW SCREENED FOR PrEPARADAS STUDY, RIO DE JANEIRO, 2017-2018 Syndemics prevalence 49.7% (n=71) N=143

DEMOGRAPHIC CHARACTERISTICS OF TGW SCREENED FOR PrEPARADAS STUDY ACCORDING TO SYNDEMICS, RIO DE JANEIRO, BRAZIL, 2017-2018 Total (N = 143) No Syndemics (N = 72) Syndemics (N = 71) p-value* Age – median (IQR) 30 (24,36) 32 (26.8,40) 27 (23,34) 0.003 Self-declared color/Race   <0.001 White 38 (26.6) 28 (38.9) 10 (14.1) Non- White 105 (73.4) 44 (61.1) 61 (85.9) Years of schooling 0.811 < 8 39 (27.3) 19 (26.4) 20 (28.2) ≥ 8 104 (72.7) 53 (73.6) 51 (71.8) Employment status 0.053 Employed 66 (46.2) 39 (54.2) 27 (38) Not Employed 77 (53.8) 33 (45.8) 44 (62) Marital Status 0.127 Married 109 (76.2) 51 (70.8) 58 (81.7) Single or other 34 (23.8) 21 (29.2) 13 (18.3) Monthy individual income (US$) - median (IQR) ꝉ 206.7 (99,333.3) 236.7 (125,360) 200 (66.7,270) 0.152 ꝉ Categories with missing data.*chi-square, Fisher's or Mann–Whitney U test.1U$ = R$3.75

SEXUAL RISK BEHAVIOR AND RISK PERCEPTION AMONG TGW SCREENED FOR PrEPARADAS’ STUDY ACCORDING TO SYNDEMICS, RIO DE JANEIRO, BRAZIL, 2017-2018 Total (N = 143) No Syndemics (N = 72) Syndemics (N = 71) p-value* Condomless anal sex (6 months) 116 (81.1) 54 (75) 62 (87.3) 0.06 HIV-positive partner 7 (4.9) 3 (4.2) 4 (5.6) 0.719 STI (6 months) 36 (25.2) 18 (25) 18 (25.4) 0.961 Transactional sex (ever) 106 (74.1) 50 (69.4) 56 (78.9) 0.198 PEP (12 months) 31 (21.7) 14 (19.4) 17 (23.9) 0.514 HIV testing (12 months) 130 (90.9) 67 (93.1) 63 (88.7) 0.369 Perceived likelihood of getting HIV (next 12 months) (High)¹ 40 (28.2) 22 (31.4) 0.395 *Chi-square or Fisher's exact test;¹ missing data(n=1)

Substance use (3 months) SUBSTANCE USE AMONG TGW SCREENED FOR PrEPARADAS STUDY ACCORDING TO SYNDEMICS, RIO DE JANEIRO, BRAZIL, 2017-2018 Substance use (3 months) Total (N = 143) No Syndemics (N = 72) Syndemics (N = 71) p-value* Tobacco 72 (50.3) 24 (33.3) 48 (67.6) < 0.001 Alcohol 116 (81.1) 50 (69.4) 66 (93) Marijuana 48 (33.6) 12 (16.7) 36 (50.7) Cocaine 29 (20.3) 6 (8.3) 23 (32.4) Amphetamine² 5 (3.5) 0 (0) 5 (7) 0.028 Inhalants² 10 (7) 10 (14.1) Hypnotic 11 (7.7) 3 (4.2) 8 (11.3) 0.111 Hallucinogen² 3 (2.1) 1 (1.4) 2 (2.8) 0.62 *Chi-square ;2Fisher's exact test.aASSIST score≥4; bASSIST score ≥10; There were no cases of hypnotic abuse and opioid use or abuse

Substance abuse/dependence SUBSTANCE ABUSE/DEPENDENCE AMONG TGW SCREENED FOR PrEPARADAS STUDY ACCORDING TO SYNDEMICS, RIO DE JANEIRO, BRAZIL, 2017-2018 Substance abuse/dependence Total (N = 143) No Syndemics (N = 72) Syndemics (N = 71) p-value * Any substance abuse, except alcohol 82 (57.3) 33 (45.8) 49 (69) 0.005 Tobaccoa 62 (43.4) 20 (27.8) 42 (59.2) < 0.001 Alcoholb 18 (12.6) 1 (1.4) 17 (23.9) Marijuanaa 39 (27.3) 10 (13.9) 29 (40.8) Cocainea 24 (16.8) 6 (8.3) 18 (25.4) 0.006 Amphetaminea ² 1 (0.7) 0 (0) 0.497 Inhalanta ² 3 (2.1) 3 (4.2) 0.12 Hallucinogena 2 2 (1.4) 1 *Chi-square ;2Fisher's exact test.aASSIST score≥4; bASSIST score ≥10; There were no cases of hypnotic abuse and opioid use or abuse

MENTAL HEALTH, VULNERABILITIES AND DISCRIMINATION AMONG TGW SCREENED FOR PrEPARADAS STUDY ACCORDING TO SYNDEMICS, RIO DE JANEIRO, BRAZIL, 2017-2018 Mental Health Total (N = 143) No Syndemics (N = 72) Syndemics (N = 71) p-value* High Impulsivity (BIS11 > 77) 34 (23.8) 6 (8.3) 28 (39.4) < 0.001 Anxiety (GAD7 > 9) 40 (28) 9 (12.5) 31 (43.7) Suicide risk 23 (16.1) 3 (4.2) 20 (28.2) Vulnerabilities School dropout 61 (42.7) 24 (33.3) 37 (52.1) 0.023 Child abuse 44 (30.8) 18 (25) 26 (36.6) 0.132 Sexual/physical violence 81 (56.6) 27 (37.5) 54 (76.1) < 0.001 Gender discrimination 93 (65) 44 (61.1) 49 (69) 0.322 *Chi-square test

Independent variables MULTIPLE LOGISTIC REGRESSION MODEL EVALUATING FACTORS ASSOCIATED WITH SYNDEMICS AMONG TGW SCREENED FOR PrEPARADAS STUDY, RIO DE JANEIRO, BRAZIL, 2017-2018 Independent variables aOR(95%CI) P(LR-test) Age (per one year increase) 0.96 (0.9,1.0) 0.191 Non-white self-declared race/color: (ref. white) 4.1 (1.5,11.5) 0.005 Any isubstance abuse , except alcohol (ref. No) 2.0 (0.83,4.9) 0.12 Anxiety 2.8 (0.96,8.3) 0.056 High Impulsivity 3.8 (1.1,12.0) 0.021 Suicide risk 4.0 (0.9,18.3) 0.051 Sexual/physical violence 6.0 (2.4,15.0) <0.001 Note: Most parcimounious model was selected including only variables p<0.05 or those found to be counfunders. Missing income cases (n=15) were imputed with median income. Anxiety (GAD7 >10); High impulsiveness = BIS11 >77)

CONCLUSIONS High prevalence of syndemics (49.7%) among Brazilian TGW More likely to occur among non-white, those reporting history of sexual/physical violence and high impulsivity History of sexual/physical violence + anxiety symptoms Post–Traumatic Stress Disorder? No association between syndemics and sexual risk behavior Due to high prevalence in both groups as sexual risk behavior was an inclusion criteria High demand of mental health treatment vs. low availability in LMIC PrEP is an opportunity to screen and treat mental health and substance use disorders in this vulnerable and stigmatized population

ACKNOWLEDMENTS Study participants PrEPARADAS Demonstration Project team Community educators: Laylla Monteiro, Cléo Souza, Biancka Fernandes, Toni dos Santos, and Josias Freitas LAPCLIN-AIDS, INI, FIOCRUZ, Rio de Janeiro, Brazil Brazilian National Department of Surveillance, Prevention and Control of sexually transmitted diseases (STIs), HIV/AIDS and Viral Hepatitis, Brazilian Ministry of Health CNPq FAPERJ Gilead Dep. Jean Wyllys