REPOSITORIO ACADÉMICO UPC

Interpersonal partner violence (IPV) is a worldwide public health problem. As a result of IPV, victims report high rates of physical and behavioral disabilities. Help-seeking behaviors are key to obtaining support on facing and managing IPV. Cultural practices such as machismo, marianismo, and familismo are related to keeping quiet and remaining in an abusive relationship in Latinas. Difficulties in sharing emotions, setting interpersonal boundaries, and communicating needs are also behavioral barriers to seeking help in this population. All these factors are associated with social disconnection which reduces victims’ chances of obtaining support in risky situations. Although several programs have been developed for helping victims of IPV, more evidence on adaptions to particular cultural and interpersonal struggles faced by Latinas’ victims is needed. Functional Analytic Psychotherapy (FAP) proposes that therapeutic relationships based on intimacy can help victims of IPV to identify characteristics of those relationships that provide help when they need it. In this theoretical article, several FAP-based strategies aid therapists working with Latinas’ victims of IPV in strengthening clients’ interpersonal functioning and defeating cultural barriers when seeking help.

La violencia de pareja (IPV, por sus siglas en inglés) es un problema de salud pública mundial que genera altas tasas de discapacidades físicas y conductuales. Los comportamientos para buscar ayuda son claves para brindar soporte en el afrontamiento y el manejo de la violencia de género. El machismo, marianismo y familismo son prácticas culturales relacionadas con conductas de guardar silencio y permanecer en una relación abusiva en mujeres latinas. Asimismo, las diﬁcultades para compartir emociones, establecer límites interpersonales y comunicar necesidades también son barreras para buscar ayuda. Estos factores están asociados a la desconexión social que reduce las posibilidades de que las víctimas sean apoyadas en situaciones de riesgo. Aunque se han desarrollado diversos programas psicológicos y sociales para ayudarlas, se necesita más evidencia sobre adaptaciones que respondan a los factores culturales e interpersonales propios de las mujeres Latinas víctimas de IPV. La Psicoterapia Analítica Funcional (FAP) propone que las relaciones terapéuticas basadas en la intimidad pueden ayudarlas a identiﬁcar características de relaciones que brindan ayuda cuando ellas la necesitan. En este artículo teórico se describen diferentes estrategias basadas en FAP con el ﬁn de que los terapeutas que trabajan con Latinas víctimas de IPV puedan ayudarlas.

Cultural practices, Functional Analytic Psychotherapy, Interpersonal effectiveness, Interpersonal partner violence, Latinas, Metadatos

Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic

Open Access / Acceso abierto

URI: http://hdl.handle.net/10757/659813

DOI: 10.1016/j.patter.2022.100482

Enlaces adicionales: https://www.cell.com/patterns/fulltext/S2666-3899(22)00067-8

Before vaccines for coronavirus disease 2019 (COVID-19) became available, a set of infection-prevention behaviors constituted the primary means to mitigate the virus spread. Our study aimed to identify important predictors of this set of behaviors. Whereas social and health psychological theories suggest a limited set of predictors, machine-learning analyses can identify correlates from a larger pool of candidate predictors. We used random forests to rank 115 candidate correlates of infection-prevention behavior in 56,072 participants across 28 countries, administered in March to May 2020. The machine-learning model predicted 52% of the variance in infection-prevention behavior in a separate test sample—exceeding the performance of psychological models of health behavior. Results indicated the two most important predictors related to individual-level injunctive norms. Illustrating how data-driven methods can complement theory, some of the most important predictors were not derived from theories of health behavior—and some theoretically derived predictors were relatively unimportant.

COVID-19, Health behaviors, Machine learning, Public goods dilemma, Random forest, Social norms

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Using functional analytic psychotherapy strategies for supporting latinas victims of interpersonal partner violence

Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic