Expecting the Unexpected: Predicting Panic Attacks From Mood, Twitter, and Apple Watch Data.

Journal: IEEE open journal of engineering in medicine and biology

Volume: 5

Issue: 

Year of Publication: 

Affiliated Institutions:  M-Sense Research GroupWake Forest School of Medicine Winston-Salem NC USA. Vermont Center for Children, Youth and FamiliesUniversity of Vermont Burlington VT USA. Vermont Complex Systems CenterUniversity of Vermont Burlington VT USA. Center for Research on Emotion, Stress and TechnologyUniversity of Vermont Burlington VT USA.

Abstract summary 

Panic attacks are an impairing mental health problem that affects 11% of adults every year. Current criteria describe them as occurring without warning, despite evidence suggesting individuals can often identify attack triggers. We aimed to prospectively explore qualitative and quantitative factors associated with the onset of panic attacks.Of 87 participants, 95% retrospectively identified a trigger for their panic attacks. Worse individually reported mood and state-level mood, as indicated by Twitter ratings, were related to greater likelihood of panic attack. In a subsample of participants who uploaded their wearable sensor data (n = 32), louder ambient noise and higher resting heart rate were related to greater likelihood of panic attack.These promising results suggest that individuals who experience panic attacks may be able to anticipate their next attack which could be used to inform future prevention and intervention efforts.

Authors & Co-authors:  McGinnis Loftness Lunna Berman Bagdon Lewis Arnold Danforth Dodds Price Copeland McGinnis

Study Outcome 

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Statistics
Citations :  Kessler R. C., Chiu W. T., Jin R., Ruscio A. M., Shear K., and Walters E. E., “The epidemiology of panic attacks, panic disorder, and agoraphobia in the National Comorbidity Survey Replication,” Arch. Gen. Psychiatry, vol. 63, no. 4, pp. 415–424, Apr. 2006, doi: 10.1001/archpsyc.63.4.415.
Authors :  12
Identifiers
Doi : 10.1109/OJEMB.2024.3354208
SSN : 2644-1276
Study Population
Male,Female
Mesh Terms
Other Terms
Panic attacks;apple watch;mental health;twitter;wearables
Study Design
Study Approach
Quantitative,Qualitative
Country of Study
Publication Country
United States