Jennifer L. Villatte

Jennifer L. Villatte
University of Washington Seattle | UW · Department of Psychiatry & Behavioral Sciences

Doctor of Philosophy

About

22
Publications
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Introduction
Jennifer L. Villatte is Assistant Professor of Psychiatry & Behavioral Sciences at the University of Washington School of Medicine in Seattle, WA. Jennifer does research in Clinical Psychology, Behavioural Science, and Digital Health. Their most recent publication is 'Into the Wild: Selecting and Managing Sensors for Longitudinal Behavioral Research in Non-controlled Settings (Preprint)'.

Publications

Publications (22)
Book
Full-text available
All psychological interventions rely on the power of language. Even those that emphasize silence, employ imagery, induce hypnosis, or conduct exercises to promote direct contact with the here and now do so by engaging language processes. Psychotherapists rarely intervene directly in their clients' lives—they create change largely through conversati...
Article
Full-text available
A modular, transdiagnostic approach to treatment design and implementation may increase the public health impact of evidence-based psychosocial interventions. Such an approach relies on algorithms for selecting and implementing treatment components intended to have a specific therapeutic effect, yet there is little evidence for how components funct...
Article
Full-text available
Past suicidal behaviors are among the strongest and most consistent predictors of eventual suicide and may be particularly salient in military suicide. The current study compared characteristics of suicide attempts in veterans (N = 746) and active-duty service members (N = 1,013) receiving treatment for acute suicide risk. Baseline data from six ra...
Article
The growth of the evidence based practice (EBP) movement has created a need for efficient models of EBP training that provide timely feedback to trainees. This feasibility trial examined a technological approach to clinical supervision called bug-in-the-eye (BITE) among trainees learning Dialectical Behavior Therapy (DBT).Eight DBT trainees within...
Article
Full-text available
Measurement(s) Overall Sleep Quality Rating • Step Unit of Distance • Speech • Mean Heart Rate • Proximity • Electrocardiogram Sequence • heart rate variability measurement • Respiratory Rate • physical activity measurement • light • door motion • Changes in Ambient Temperature in Medical Device Environment • humidity • Overall Emotional Well-Being...
Chapter
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Continuous collection of physiological data from wearable sensors enables temporal characterization of individual behaviors. Understanding the relation between an individual’s behavioral patterns and psychological states can help identify strategies to improve quality of life. One challenge in analyzing physiological data is extracting the underlyi...
Preprint
We present a novel longitudinal multimodal corpus of physiological and behavioral data collected from direct clinical providers in a hospital workplace. We designed the study to investigate the use of off-the-shelf wearable and environmental sensors to understand individual-specific constructs such as job performance, interpersonal interaction, and...
Preprint
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The ubiquity of mobile devices and wearable sensors offers unprecedented opportunities for continuous collection of multimodal physiological data. Such data enables temporal characterization of an individual's behaviors, which can provide unique insights into her physical and psychological health. Understanding the relation between different behavi...
Article
Full-text available
Research has demonstrated that values and acceptance interventions can increase distress tolerance, but the individual contribution of each remains unclear. The current study examined the isolated effect of a values intervention on immersion time in a cold pressor. Participants randomized to Values (n = 18) and Control (n = 14) conditions completed...
Article
Full-text available
We examined suicidal ideation among 399 active-duty Soldiers and Marines engaged in mental health treatment. Using a generalized linear model (GLM) controlling for demographic and military factors, depression, and positive traumatic brain injury (TBI) screen, we confirmed our hypothesis that self-report measures of current post-traumatic stress dis...
Article
A number of recent authors have compared acceptance and commitment therapy (ACT) and traditional cognitive behavior therapy (CBT). The present article describes ACT as a distinct and unified model of behavior change, linked to a specific strategy of scientific development, which we term "contextual behavioral science." We outline the empirical prog...
Article
Full-text available
Suicidal behavior is exhibited by a diverse population of individuals and spans many diagnostic categories. In order to develop effective prevention and treatment programs, it is important to identify transdiagnostic processes that impact the many pathways to suicidality, are amenable to intervention, and affect clinical outcomes when modified. A g...
Article
Full-text available
Borderline personality disorder (BPD) is a common psychiatric disorder that is often overlooked in treatment settings. This report describes the validation of a new self-report screening measure for DSM-IV BPD--the McLean Screening Instrument for Borderline Personality Disorder (MSI-BPD). Two hundred subjects with treatment histories whose ages ran...
Article
Full-text available
The purpose of this study was to assess the psychometric properties of the Zanarini Rating Scale for Borderline Personality Disorder (ZAN-BPD), the first clinician-administered scale for the assessment of change in DSM-IV borderline psychopathology. The questions for the measure were adapted from the BPD module of the Diagnostic Interview for DSM-I...

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Projects

Projects (3)
Archived project
Iteratively designed and evaluated multimodal digital interventions that improved social and emotional functioning and reduced stress, fatigue, and depression in primary care patients at risk for chronic disease and disability
Project
TILES aims to advance multimodal sensing to measure workers and their environment passively and persistently, reduce the time and manpower required to process and integrate such data, and construct personalized and adaptive assessments of an individual that are accurate throughout the individual’s career. We employ a participatory research approach with our community partners and follow principles of positive organizational behavior management to develop tools that are non-stigmatizing and mutually beneficial to employees and employers.