Archive for September 2016
Evaluation of an mHealth Application for Stress Management | Wireless BIOPAC
Cognitive behavioral therapy (CBT) is a common treatment for people who suffer mental health disorders, such as depression and post-traumatic stress disorder. The goal of this treatment is to help reduce many of the symptoms surrounding the patients’ difficulties, including stress, anxiety, and anger. One issue with cognitive behavioral therapy is the subjective nature of the treatment, which often results in high patient dropout rates. Researchers Winslow, et al., proposed an increase in objective, wearable data used during the therapy process in order to lower participant dropout rates. By recording real-time, mobile health data during and after the scheduled sessions, both patient and clinician can monitor mental health symptoms as they occur.
Despite nine total participants dropping out of the study, researchers determined the amount of therapy sessions completed before drop out by the experimental group was significantly greater than the control group. A similar trend was found in the quantitative physiological data. Stress and other psychiatric factors, measured by heart rate and EDA data, were significantly reduced in the experimental group. Presented with this data, it is realistic to see tangible results in mental health by using mobile health applications and data recording to improve the success of cognitive behavioral therapy. The authors also noted other applications for mobile health data methods. Real-time physiologic data could help military or medical training instructors monitor their trainees’ response to live stimulus sessions. The impact of this improvement may result in tailored lesson plans that increase appropriate resilience training programs before cognitive behavioral therapy is needed.
Testing
To test this, the researchers recruited 24 male participants who qualified for the study by completing several response-based tests measuring the psychiatric symptoms that characterize mental health disorders. Participants then began an 8-10 week CBT program that included a 60-minute session once a week, a personal log of daily activities, the use of a mobile phone app to indicate stress and set daily reminders, and recorded PPG and EDA data. BIOPAC wireless BioNomadix devices were used to record PPG and EDA data by fitting the devices to participants’ fingers.Despite nine total participants dropping out of the study, researchers determined the amount of therapy sessions completed before drop out by the experimental group was significantly greater than the control group. A similar trend was found in the quantitative physiological data. Stress and other psychiatric factors, measured by heart rate and EDA data, were significantly reduced in the experimental group. Presented with this data, it is realistic to see tangible results in mental health by using mobile health applications and data recording to improve the success of cognitive behavioral therapy. The authors also noted other applications for mobile health data methods. Real-time physiologic data could help military or medical training instructors monitor their trainees’ response to live stimulus sessions. The impact of this improvement may result in tailored lesson plans that increase appropriate resilience training programs before cognitive behavioral therapy is needed.
Wireless | Psychological Stress Across Training Backgrounds
The negative effects of stress on the body have been widely studied. Stress can be defined as a situation that is causing the current state, or homeostasis, under pressure to change. The human body’s nervous system reacts to stress by changing the amount produced of certain biomarkers. For example, when heart rate elevates, blood pressure rises and the human body reacts and secretes hormones (epinephrine, cortisol, etc.). Experimenters tested the change in the production of specific biomarkers of people with different training backgrounds to understand how acute psychological stress affects their physiological responses. The three group classifications were sedentary subjects, endurance athletes, and strength athletes.
EDA (skin conductance), ECG (EKG), and breathing frequency were measured continuously; BP and cortisol were measured after each experiment segment. EDA, ECG, and breathing frequency were measured during the acute psychological stress test using the BIOPAC MP150 data acquisition unit connected to wireless biopotential amplifiers and recorded on BIOPAC’s AcqKnowledge software.
Psychological stress was induced in participants using a Stroop color-word test and math problems. These problems were presented in a slide show where the subjects had a limited amount of time to solve for the correct answers. The researchers found numerous differences in changes in the biomarkers measured in response to the acute psychological stress activities between the three groups. On average, athletes’ cortisol levels changed differently when compared to the sedentary group. Also, skin conductance was shown to have higher levels in the sedentary group than in the athletes. The athletes also had a higher recovery level for systolic blood pressure, which was observed to decrease over the test for the sedentary group.
The participants reported to have experienced psychological stress over the course of the activities and this was reinforced by the change in values of the biomarkers measured. This experiment showed that people with different training backgrounds had different responses to psychological stress for related biomarkers. The experimenters concluded that people with different training backgrounds react differently in their changes of certain biomarkers to psychological stress.
EDA (skin conductance), ECG (EKG), and breathing frequency were measured continuously; BP and cortisol were measured after each experiment segment. EDA, ECG, and breathing frequency were measured during the acute psychological stress test using the BIOPAC MP150 data acquisition unit connected to wireless biopotential amplifiers and recorded on BIOPAC’s AcqKnowledge software.
Psychological stress was induced in participants using a Stroop color-word test and math problems. These problems were presented in a slide show where the subjects had a limited amount of time to solve for the correct answers. The researchers found numerous differences in changes in the biomarkers measured in response to the acute psychological stress activities between the three groups. On average, athletes’ cortisol levels changed differently when compared to the sedentary group. Also, skin conductance was shown to have higher levels in the sedentary group than in the athletes. The athletes also had a higher recovery level for systolic blood pressure, which was observed to decrease over the test for the sedentary group.
The participants reported to have experienced psychological stress over the course of the activities and this was reinforced by the change in values of the biomarkers measured. This experiment showed that people with different training backgrounds had different responses to psychological stress for related biomarkers. The experimenters concluded that people with different training backgrounds react differently in their changes of certain biomarkers to psychological stress.