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There is little research on how specific parent–adolescent sexual communication topics influence Latino/a youth's sexual behaviors, and how gender and generational status may moderate effects. This study examined effects of three different messages on intercourse and condom use among 1,944 Latino/as from the National Longitudinal Study of Adolescent Health (T1 mean age = 15.46; SD = 1.50). Results indicated discussing health consequences predicted higher odds of intercourse 1 year later across gender and generation groups. Birth control recommendation effects on subsequent intercourse and condom use differed by generational status and gender. Results indicated that message content is important for understanding effects of parent–adolescent sex communication on adolescents' behavior and underscored the need to consider gender and generational status in Latino/a parent–adolescent sexual communication studies.

AbstractUtility of community‐based system dynamics (CBSD) models on stigmatized public health issues and health disparities depends upon how representative the model is to real‐world experience within the community. 'Personal experience' participants (PEP), especially from marginalized groups, are essential model contributors but are often underrepresented in modelling groups due to multiple barriers. This study details a method to increase PEP representation for models on stigmatized issues. We use a case study from a CBSD project on health disparities within the association between alcohol misuse (AM) and intimate partner violence (IPV) for Northern Plains Indigenous women. Short group model building sessions were held at three community organizations providing relevant resources. Each model contributed unique system components, and there were few similarities between models. A consolidated model provided a rich picture of the complex system. Adding brief PEP‐based group modelling sessions can enhance PEP representation in model development for stigmatized public health issues.

AbstractCommunity stakeholder participation can be incredibly valuable for the qualitative model development process. However, modelers often encounter challenges for participatory modeling projects focusing on high‐complexity, synergistic interactions between multiple issues, systems, and granularity. The diverse stakeholder perspectives and volumes of information necessary for developing such models can yield qualitative models that are difficult to translate into quantitative simulation or clear insight for informed decision‐making. There are few recommended best practices for developing high‐complexity, participatory models. We use an ongoing project as a case study to highlight three practical challenges for tackling high‐complexity, multi‐system issues with system dynamics tools. These challenges include balanced and respectful stakeholder engagement, defining boundaries and levels of variable aggregation, and timing and processes for qualitative/quantitative model integration. Our five recommendations to address these challenges serve as a foundation for further research on methods for developing translatable qualitative multi‐system models for informing actions for systemic change. © 2024 System Dynamics Society.

AbstractThe growing number of systems science simulation models for alcohol use (AU) are often disconnected from AU models within empirical and theoretical alcohol research. As AU prevention/intervention efforts are typically grounded in alcohol research, this disconnect may reduce policy testing results, impact, and implementation. We developed a simulation model guided by AU research (accounting for the multiple AU stages defined by AU behavior and risk for harm and diverse transitions between stages). Simulated projections were compared to historical data to evaluate model accuracy and potential policy leverage points for prevention and intervention at risky drinking (RD) and alcohol use disorder (AUD) stages. Results indicated prevention provided the greatest RD and AUD reduction; however, focusing exclusively on AUD prevention may not be effective for long‐term change, given the continued increase in RD. This study makes a case for the strength and importance of aligning subject‐based research with systems science simulation models. © 2023 System Dynamics Society.