Mindfulness Skills, Psychological Distress, Usability Satisfaction
Conditions
Keywords
respiration biosignal feedback, young adults, mental health, well-being, mindfulness skills, psychological distress
Brief summary
The goal of this research is to test usability and user satisfaction with a new breathing feature on the meditation app, Equa, to help young adults who are distressed, understand their physiological responses and mindfulness skill development during meditation. Our main aims are to test an algorithm that can use physiologic signals to give feedback about how participant physiology is changing during guided lessons on the meditation app, Equa through: * Assessing user satisfaction and usability * Measuring how much participant mindfulness skills are improving Participants will: * Complete a survey about demographics, their thoughts and feelings before and after the mindfulness meditation program * Complete 14 smartphone guided mindfulness meditation training units while physiological measures are being recorded * A subset of participants will see a graph tracking their physiological responses from the guided meditation lesson and predictive mindfulness skill scores * Complete a few brief questionnaires before and after mindfulness practices to understand potential changes in their mindfulness skills
Detailed description
Investigators will recruit young adults to participate in a study to examine the usability and user satisfaction of respiration biosignal feedback during meditation through phone motion data and microphones within headphones. Interested participants will be screened on study inclusion/exclusion criteria: (1) aged 18-30 years, (2) interested in coming on site to complete 14 smartphone guided mindfulness meditation training units, (3) willing to be assigned to one of two conditions, (4) willing to wear physiological monitoring equipment and provide ratings of their training experience, (5) Not currently pregnant and (6) no current or previous diagnosis of psychosis or schizophrenia Participants are told they are going to participate in a study that focuses on monitoring physiological responses during meditation. At the start of the study, participants will complete questions via an online survey focused on demographics, prior meditation experience, their thoughts and feelings as these may be informative to participants' meditation experience. Participants will complete a few brief questionnaires to understand potential changes in mindfulness before and after select lessons. Participant physiological data will be recorded (E.g., heart rate) via smartphones and headphones to track physiologic dynamics. Additionally, the sensory shirt, made by Hexoskin Smart Sensors; AI, will also continuously measure physiologics via two inductive plethysmography (RIP) sensors. The Hexoskin shirt also tracks motion via a three-axis accelerometer. These measures will enable investigators to better understand mindfulness measures during meditation. Following the guided meditation lessons, a subset of participants (the experimental group) will see a graph tracking their physiological responses from the guided meditation lesson and predictive mindfulness skill scores based on our algorithm development. The feedback chart is produced by the physiological measures tracked throughout the duration of the lesson, and is displayed within the Equa app, moments after the meditation lessons concludes. The control group will not see the graph tracking their physiological responses.
Interventions
BEHAVIORALMindfulness Meditation
Participants will be randomly assigned to one of two different 14-unit smartphone meditation program groups that involve completing a 2-10 minute daily guided practice on their phones. Participants in both groups will follow the same 14 units of mindfulness meditation curriculum that consists of learning and practicing techniques to improve concentration, sensory clarity, and equanimity (Equa meditation app) and have access to additional curriculum. Physiological measures will be tracked throughout the duration of lessons. The control group will not see the graph tracking their physiological responses or the predictive mindfulness skill scores based on the algorithm development.
BEHAVIORALMindfulness Meditation with Respiration Feedback Chart and Predictive Mindfulness Skill Scores
Participants will then be randomly assigned to one of two different 14-unit smartphone meditation program groups that involve completing a 2-10 minute daily guided practice on their phones. Participants in both groups will follow the same 14 units of mindfulness meditation curriculum that consists of learning and practicing techniques to improve concentration, sensory clarity, and equanimity (Equa meditation app) and have access to additional curriculum. Physiological measures will be tracked throughout the duration of lessons. Following the guided meditation lessons, a subset of participants (the experimental group) will see a graph tracking their physiological responses from the guided meditation lesson and predictive mindfulness skill scores based on our algorithm development. The feedback chart is produced by the physiological measures tracked throughout the duration of the lesson, and is displayed within the Equa app, moments after the meditation lessons concludes.
Sponsors
Equa Health
Worcester Polytechnic Institute
National Institute of Mental Health (NIMH)
Study design
Allocation
RANDOMIZED
Intervention model
SEQUENTIAL
Primary purpose
BASIC_SCIENCE
Masking
DOUBLE (Subject, Investigator)
Intervention model description
The investigators will experimentally evaluate if Equa-augmented respiration biosignal tracking significantly increases user satisfaction relative to Equa with no biosignal tracking. Both groups will receive the 14 lessons of mindfulness meditation, however only one group (experimental) will see the respiration biosignal feedback from the algorithm developed and tested in Study 1.
Eligibility
Sex/Gender
ALL
Age
18 Years to 30 Years
Healthy volunteers
No
Inclusion criteria
* Ages 18-30 years of Age * Fluent in English * Psychological distress * Willing to participate in guided meditation or stress management training. * Willing and able to wear earbud headphones and a shirt which uses sensors to track motion and physiological measures. * Willing to be randomized to one of two conditions * Willing to provide ratings on their training experience
Exclusion criteria
* Currently pregnant * Current or previous diagnosis with psychosis or schizophrenia
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Assess usability and user satisfaction with respiration biosignal tracking and predictive mindfulness skill scores during meditation training to changes in mindfulness skills from pre-training to post-training | Throughout 5 sessions over the course of 4 weeks (study completion) | \>85 on System Usability Scale and significantly more user satisfaction with biosignal augmented Equa. The investigators will conduct usability testing with the respiration biosignal tracking on Equa, and experimentally evaluate if Equa-augmented respiration biosignal tracking increases user satisfaction in the lab relative to Equa with no biosignal tracking. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Change from Baseline in total anxiety as assessed by the General Anxiety Disorder, 7-item questionnaire at post treatment | From enrollment to the end of treatment at up to week 4 | Participants respond to a questionnaire asking about how often they have been bothered by any of the listed problems over the last 2 weeks. Zero is equivalent to not at all (lower anxiety) and 3 indicates nearly every day (higher anxiety). |
| Change from Baseline in total depression as assessed by the Patient Health Questionnaire-9 at post treatment | From enrollment to the end of treatment at up to week 4 | Participants respond to a questionnaire asking about how often they have been bothered by any of the listed problems over the last 2 weeks related to the severity of depression symptomology. Zero is equivalent to not at all (lower depression) and 3 indicates nearly every day (higher depression) |
| Change from Baseline in total affect as assessed by the Positive and Negative Affect Scale at post treatment | From enrollment to the end of treatment at up to week 4 | Participants respond to a questionnaire asking to indicate the extent they have felt the following ways over the past 2 weeks related to their feelings and emotions. One is equivalent to not at all and five indicates extremely. The scores on items 1, 3, 5, 9, 10, 12, 14, 16, 17, and 19 are added. Scores can range from 10 - 50, with higher scores representing higher levels of positive affect. The scores on items 2, 4, 6, 7, 8, 11, 13, 15, 18, and 20 are added. Scores can range from 10 - 50, with lower scores representing lower levels of negative affect. |
| Change from Baseline in mean state mindfulness as assessed by the Mindful Attention Awareness Scale - state at post treatment | From enrollment to the end of treatment at up to week 4 | Participants respond to a questionnaire asking to what degree they were having each experience described over the past 2 weeks related to mindfulness practices. Zero is equivalent to not at all and six indicates very much. A mean score of the 15 items is taken, a higher score indicates greater mindfulness and a lower score indicates lower mindfulness. |
| Change from Baseline in total perceived stress as assessed by the Perceived Stress Scale at post treatment | From enrollment to the end of treatment at up to week 4 | Participants respond to a questionnaire asking about their feelings and thoughts over the past 2 weeks. Zero is equivalent to never and four indicates very often. Scores are added and those ranging from 0-13 would be considered low stress. Scores ranging from 14-26 would be considered moderate stress and scores ranging from 27-40 would be considered high perceived stress. |
| Change from Baseline in total social well-being as assessed by the Satisfaction with Life Scale at post treatment | From enrollment to the end of treatment at up to week 4 | Participants indicate how much they agree or disagree with each of the 5 items using a 7-point scale that ranges from 7 strongly agree to 1 strongly disagree. A score of 5-9 indicates extreme dissatisfaction and a score of 31-35 indicates extreme satisfaction. |
| Change from Baseline in total loneliness as assessed by the UCLA Loneliness scale at post treatment | From enrollment to the end of treatment at up to week 4 | Participants indicate how often they feel the way related to loneliness and isolation described in each of the 20 statements using a 4-point scale that ranges from 1=never to 4=always. The scoring is continuous with items 1, 5, 6, 9, 10, 15, 16, 19, 20 are all reverse scored. A higher score indicates greater feelings of isolation and loneliness, while a lower score indicates lower feelings of isolation and loneliness. |
Countries
United States
Contacts
CONTACTEmily G Thomas, BA
CONTACTDavid Creswell, Ph.D.
PRINCIPAL_INVESTIGATORDavid Creswell, Ph.D.
Equa Health
Outcome results
None listed