Unlocking stress and forecasting its consequences with digital technology

NPJ Digital Medicine
Sarah M Goodday, Stephen Friend

Abstract

Chronic stress is a major underlying origin of the top leading causes of death, globally. Yet, the mechanistic explanation of the association between stress and disease is poorly understood. This stems from the inability to adequately measure stress in its naturally occurring state and the extreme heterogeneity by inter and intraindividual characteristics. The growth and availability of digital technologies involving wearable devices and mobile phone apps afford the opportunity to dramatically improve measurement of the biological stress response in real time. In parallel, the advancement and capabilities of artificial intelligence (AI) and machine learning could discern heterogeneous, multidimensional information from individual signs of stress, and possibly inform how these signs forecast the downstream consequences of stress in the form of end-organ damage. The marriage of these tools could dramatically enhance the field of stress research contributing to impactful and empowering interventions for individuals bridging knowledge to practice, and intervention to real-world use. Here we discuss this potential, anticipated challenges, and emerging opportunities.

Associated Clinical Trials

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Citations

Nov 21, 2020·Heart Failure Reviews·Kristie M HarrisMatthew M Burg
Sep 12, 2020·Sociology of Health & Illness·Rasmus H Birk, Gabrielle Samuel
Jun 24, 2021·Computer Methods and Programs in Biomedicine·Ruixuan DaiThomas Kannampallil
Sep 11, 2021·World Psychiatry : Official Journal of the World Psychiatric Association (WPA)·John TorousJoseph Firth
Jan 30, 2021·European Journal of Gastroenterology & Hepatology·Sarah M GooddayStephen H Friend

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