Publications by authors named "J C Yau"

Community-based participatory research (CBPR) promotes the significant involvement of community members in research, which helps increase the effectiveness of specific interventions for community members. However, no reviews have investigated the effectiveness of CBPR interventions in mental health outcomes nor the adherence level to CBPR principles. Therefore, the objectives of the current study were to (1) examine the effectiveness of CBPR interventions on mental health outcomes and (2) assess the overall adherence to CBPR principles in existing mental health research.

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  • A significant number of consumers (48%) use generative AI for health inquiries, yet there is limited research on the quality of AI chatbot responses concerning emergency care advice.
  • This study evaluated responses from four popular AI chatbots (ChatGPT, Google Bard, Bing AI, and Claude AI) using 10 emergency care questions, grading them across eight performance domains.
  • Results showed that chatbots excelled in clarity and understandability (85%), had moderate accuracy and completeness (50%), but struggled with source relevance and reliability (10%), and potentially presented dangerous information in 5% to 35% of their responses.
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  • The study explores the link between neighborhood disadvantage (ND) and aggressive prostate cancer, particularly examining how these factors affect African American (AA) men compared to European American men.
  • It evaluated four ND metrics — Area Deprivation Index (ADI), Neighborhood Deprivation Index (NDI), racial isolation (RI) index, and historical redlining — among 1,458 men treated for prostate cancer.
  • Results showed that AA men faced higher levels of ND, with significant connections between ND metrics and aggressive cancer, indicating that the impact of these factors is notably more pronounced for AA men.
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Objective: Mobile health (mHealth) interventions may be an efficacious strategy for promoting health behaviors among pediatric populations, but their success at the implementation stage has proven challenging. The purpose of this article is to provide a blueprint for using human-centered design (HCD) methods to maximize the potential for implementation, by sharing the example of a youth-, family-, and clinician-engaged process of creating an mHealth intervention aimed at promoting healthcare transition readiness.

Method: Following HCD methods in partnership with three advisory councils, we conducted semistructured interviews with 13- to 15-year-old patients and their caregivers in two phases.

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The presence of valence coding neurons in the basolateral amygdala (BLA) that form distinct projections to other brain regions implies functional opposition between aversion and reward during learning. However, evidence for opponent interactions in fear learning is sparse and may only be apparent under certain conditions. Here we test this possibility by studying the roles of the BLA→central amygdala (CeA) and BLA→nucleus accumbens (Acb) pathways in fear learning in male rats.

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