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Ambulatory assessment to predict problem anger in trauma-affected adults: Study protocol

Author

Listed:
  • Olivia Metcalf
  • Laura Finlayson-Short
  • Karen E Lamb
  • Sophie Zaloumis
  • Meaghan L O’Donnell
  • Tianchen Qian
  • Tracey Varker
  • Sean Cowlishaw
  • Melissa Brotman
  • David Forbes

Abstract

Background: Problem anger is common after experiencing a traumatic event. Current evidence-driven treatment options are limited, and problem anger negatively affects an individual’s capacity to engage with traditional psychological treatments. Smartphone interventions hold significant potential in mental health because of their ability to deliver low-intensity, precision support for individuals at the time and place they need it most. While wearable technology has the capacity to augment smartphone-delivered interventions, there is a dearth of evidence relating to several key areas, including feasibility of compliance in mental health populations; validity of in vivo anger assessment; ability to predict future mood states; and delivery of timely and appropriate interventions. Methods: This protocol describes a cohort study that leverages 10 days of ambulatory assessment in the form of ecological momentary assessment and a wearable. Approximately 100 adults with problem anger will complete four-hourly in vivo mobile application-delivered micro-surveys on anger intensity, frequency, and verbal and physical aggression, as well as other self-reported mental health and wellbeing measures. Concurrently, a commercial wearable device will continuously record indicators of physiological arousal. The aims are to test the feasibility and acceptability of ambulatory assessment in a trauma-affected population, and determine whether a continuously measured physiological indicator of stress predicts self-reported anger intensity. Discussion: This study will contribute new data around the ability of physiological indicators to predict mood state in individuals with psychopathology. This will have important implications for the design of smartphone-delivered interventions for trauma-affected individuals, as well as for the digital mental health field more broadly.

Suggested Citation

  • Olivia Metcalf & Laura Finlayson-Short & Karen E Lamb & Sophie Zaloumis & Meaghan L O’Donnell & Tianchen Qian & Tracey Varker & Sean Cowlishaw & Melissa Brotman & David Forbes, 2022. "Ambulatory assessment to predict problem anger in trauma-affected adults: Study protocol," PLOS ONE, Public Library of Science, vol. 17(12), pages 1-8, December.
    • Handle: RePEc:plo:pone00:0278926
    DOI: 10.1371/journal.pone.0278926
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    1. Reiss, Philip T. & Ogden, R. Todd, 2007. "Functional Principal Component Regression and Functional Partial Least Squares," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 984-996, September.
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