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Social Support Networks and HIV/STI Risk Behaviors Among Latino Immigrants in a New Receiving Environment.


ABSTRACT: The objectives of this study were to: (1) describe the quantity and quality of social support networks of Latino immigrants living in a new receiving environment, and (2) determine the role such networks play in their HIV/STI risk behaviors, including substance use. Double incentivized convenience sampling was used to collect egocentric social support network data on 144 Latino immigrants. Latent class analysis was used for data reduction and to identify items best suited to measure quality and quantity of social support. Moderate and high quantity and quality of social support were protective of HIV/STI sexual risk behavior compared to low quantity and quality of support, after adjustment for gender, years in New Orleans and residing with family. Neither measure of social support was associated with binge drinking. The findings suggest that increased quantity and quality of social support decrease HIV/STI sexual risk behaviors but do not influence binge drinking. Interventions that improve the quantity and quality of social support are needed for Latino immigrants.

SUBMITTER: Althoff MD 

PROVIDER: S-EPMC5705459 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Social Support Networks and HIV/STI Risk Behaviors Among Latino Immigrants in a New Receiving Environment.

Althoff Meghan D MD   Theall Katherine K   Schmidt Norine N   Hembling John J   Gebrekristos Hirut T HT   Thompson Michelle M MM   Muth Stephen Q SQ   Friedman Samuel R SR   Kissinger Patricia P  

AIDS and behavior 20171201 12


The objectives of this study were to: (1) describe the quantity and quality of social support networks of Latino immigrants living in a new receiving environment, and (2) determine the role such networks play in their HIV/STI risk behaviors, including substance use. Double incentivized convenience sampling was used to collect egocentric social support network data on 144 Latino immigrants. Latent class analysis was used for data reduction and to identify items best suited to measure quality and  ...[more]

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