Key result
The real-time application of the AddHRVr algorithm failed to predict higher stress, perseverative cognition, or low-quality social interactions in a real-world setting.
Why the study?
Unobtrusively identifying adverse psychosocial states in everyday life could trigger just-in-time adaptive interventions, but the real-time application of an additional heart rate variability reduction algorithm had not been evaluated.
Does the real-time application of the AddHRVr algorithm predict stress, perseverative cognition, or low-quality social interactions in everyday life?
Observational (n=36)
Does the real-time application of the AddHRVr algorithm predict stress, perseverative cognition, or low-quality social interactions in everyday life?
The real-time application of the AddHRVr algorithm failed to accurately predict negative psychosocial states in a real-world setting, highlighting the need for further technical refinements.
AddHRVr should not guide real-time stress monitoring; hypothesis-generating for refined ambulatory HRV algorithms.
Unobtrusively identifying adverse psychosocial states in everyday life would offer intriguing possibilities to trigger just-in-time adaptive interventions (JITAIs). Previously, we simulated algorithms to predict psychosocial states by means of cardiac data (so-called, additional, nonmetabolic heart rate variability reductions; AddHRVr). For the first time, this study implemented the AddHRVr algorithm in real-time mode to evaluate whether we could predict stress, perseverative cognition, or low-quality social interactions. We applied an ecological momentary assessment (EMA) in a sample of 36 participants for five consecutive days. The functioning of the AddHRVr algorithm did not translate into real-world application, and higher stress, perseverative cognition, or low-quality social interactions following the AddHRVr trigger could not be confirmed. Further data simulations were conducted to evaluate the reasons for the algorithm’s malfunctioning. We provide recommendations for future studies and call for further research and technical refinements to better align simulation approaches with real-time applications.
No takes yet. Share an insight, caveat, or question.
Rominger et al. (2023) conducted an observational in Negative psychosocial states (n=36). AddHRVr algorithm was evaluated on Prediction of stress, perseverative cognition, or low-quality social interactions. The real-time application of the AddHRVr algorithm failed to predict higher stress, perseverative cognition, or low-quality social interactions in a real-world setting.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: