Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach.

This study proposes a new index to measure the resilience of an individual to stress, based on the changes of specific physiological variables. These variables include electromyography, which is the muscle response, blood volume pulse, breathing rate, peripheral temperature, and skin conductance. We measured the data with a biofeedback device from 71 individuals subjected to a 10-min psychophysiological stress test.

Psychological responses to COVID-19 in a Mexican population: an exploratory study during second and third phases.

This work constitutes an exploratory study during the second and third phases of COVID-19 in Mexico, characterized by local transmission and untraceable cases, respectively, with an incidental sample of 666 participants. The 21-item Depression Anxiety Stress Scale was used to assess depression, anxiety and stress associated to COVID-19. Additionally, the Impact of the Event Scale-Revised was applied to assess the impact of the event, and the 10-item Connor-Davidson Resilience Scale was employed to assess resilience.