METHODS: Data come from the 2012 Arizona Youth Survey, a state-wide self-report survey of 8th, 10th, and 12th grade students, which includes 2,407 AI youth living in metropolitan urban areas. Using confirmatory factor analysis, latent variables were constructed to represent risk and protective factors within each of the four ecodevelopmental realms. Structural equation modeling tested the direct and moderated effects of seven substance use measures (last 30-day use) on the four ecodevelopmental realms.
RESULTS: The overall ecodevelopmental measurement model comprised seven latent variables (RMSEA=.048; CFI=.91), a positive family environment, substance users in the family, associations with anti-social peers and with pro-social peers, overall positive school environment, and negative and positive neighborhood environmental influences. In the structural equation model, the two latent constructs that produced significantly consistent results across the seven substance use outcomes were (1) having high levels of substance use within the family and (2) having numerous associations with anti-social peers. Moderated effects tested if a positive family, school, and neighborhood environment dampens these negative direct effects.
CONCLUSION: The emerging patterns of ecodevelopmental latent factors and direct effects on substance use help to identify issues that urban AI youth face when navigating within larger socio-environmental contexts that influence the youth’s vulnerability to health disparities. Understanding possible moderators can be used to design and deliver strengths-based prevention programs that enhance health and wellbeing of AI youth in the face of myriad challenges they face in urban social environments.