# Multilevel approaches for embracing dyadic, egocentric and two-mode networks which address substance use disorders and HIV risk in Latina seasonal workers

> **NIH NIH R00** · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · 2020 · $249,000

## Abstract

Project Summary
I propose to implement innovative and advanced social network modeling using dyadic, egocentric, two-mode
network, and multilevel mediation analyses to answer the following research question: How do Latino cultural
values and acculturation stress impact social network configurations and dynamics that could then act as
protective or risk factors for substance use disorders (SUDs) and HIV risk? K99 Phase: Using my mentors'
exceptional academic careers as an example and guide—coupled with training by international experts in social
network analysis—I will receive mentored training in five key areas to obtain: (1) knowledge on SUD and HIV
epidemiology, (2) comprehension of cross-cultural research, (3) advanced social network analytical skills, (4)
comprehension of social network translational research, and (5) professional development. R01 Phase: A cross-
sectional social network study will be implemented using data collected during the R00 phase (for males) as
well as secondary data already collected (for females) between March and December 2015. The total sample will
consist of 40 egocentric networks (20 groups of men and 20 groups of women) that will each be comprised of 13
people at least 18 years of age (N=520). I will analyze associations between: (1) SUD and HIV risk; (2) Latino
cultural values (family cohesion, marianismo, machismo and religiosity) and acculturation stress; and, (3) the
following social network factors: (a) individual factors: socio-demographic characteristics; (b) social factors:
dyadic attachments, social support and family characteristics, direct influences from close friends or cliques (set
of individuals all connected to each other), influences of network positions such as high centrality (for example,
being popular), and influence from self-selection friendships based on SUD or HIV risk status; and, (c)
structural factors: affiliation network structures (social venues or types of seasonal work). This K99/R00
program will not only prepare me for performing the proposed cross-sectional study but will also provide me
with the background knowledge needed to submit an R01 application—based on a longitudinal design—that will
allow me to understand how changes in social networks over time place Latino seasonal worker communities at
risk for SUDs and HIV across generations. This information will translate into innovative and cost-effective
interventions. Expected outcomes also include advances in modeling and statistical procedures for social
network research and new knowledge that will inform public policy.

## Key facts

- **NIH application ID:** 9857002
- **Project number:** 5R00DA041494-05
- **Recipient organization:** UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
- **Principal Investigator:** Mariano Juan Kanamori Nishimura
- **Activity code:** R00 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $249,000
- **Award type:** 5
- **Project period:** 2018-02-01 → 2023-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9857002

## Citation

> US National Institutes of Health, RePORTER application 9857002, Multilevel approaches for embracing dyadic, egocentric and two-mode networks which address substance use disorders and HIV risk in Latina seasonal workers (5R00DA041494-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9857002. Licensed CC0.

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