Mindfulness Training and Respiration Biosignal Feedback - Study 1
2 other identifiers
interventional
80
1 country
1
Brief Summary
The goal of this research is to develop 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 build an algorithm that can use physiologic signals to:
- Give feedback about how participant physiology is changing during guided lessons on the meditation app, Equa
- Measure 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
- Complete a few brief questionnaires before and after mindfulness practices to understand potential changes in their mindfulness skills
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started May 2024
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 1, 2024
CompletedFirst Submitted
Initial submission to the registry
September 25, 2024
CompletedFirst Posted
Study publicly available on registry
October 3, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 8, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
August 8, 2025
CompletedAugust 19, 2025
August 1, 2025
1.3 years
September 25, 2024
August 18, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Optimization of deep learning algorithms that correlate changes in respiration dynamics during meditation training to changes in mindfulness skills from pre-training to post-training
Prediction accuracy of greater than 90%. There are three distinct mindfulness skills that will be measured before and after trainings - Concentration, Sensory Clarity, and Equanimity. Participants will respond to a likert scale from one to five. One is equivalent to a poor perceived level of skill and five indicates an excellent perceived level of skill.
Same day, change from pre-mindfulness meditation training to post-mindfulness meditation training
Secondary Outcomes (9)
User satisfaction with the mindfulness meditation app, Equa as assessed by the Systems User Satisfaction scale at post treatment
End of treatment session at up to week 4
User satisfaction with the mindfulness meditation app, Equa as assessed by the Mobile App Rating Scale at post treatment
At the end of treatment session at up to week 4
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
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
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
- +4 more secondary outcomes
Study Arms (1)
Respiration Biosignal Feedback Condition
EXPERIMENTALParticipants will complete guided seated Equa training lessons on a laboratory smartphone device while physiological measures are tracked. After training lessons, a respiration biosignal feedback chart will appear.
Interventions
Participants will be instructed on how to wear the physiological monitoring equipment during the 14-unit mindfulness meditation curriculum. Participants will then complete 2-10 minute guided seated Equa training lessons on a laboratory smartphone device while physiological measures are tracked. After training lessons, a respiration biosignal feedback chart will appear on the smartphone screen. Participants will also complete a brief mindfulness survey before and after training lessons.
Eligibility Criteria
You may qualify if:
- 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 provide ratings on their training experience
You may not qualify if:
- Currently pregnant
- Current or previous diagnosis with psychosis or schizophrenia
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Equa Healthlead
- Worcester Polytechnic Institutecollaborator
- National Institute of Mental Health (NIMH)collaborator
Study Sites (1)
GATF Building, 4615 Forbes Avenue
Pittsburgh, Pennsylvania, 15213, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
David Creswell, PhD
Equa Health
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- INDUSTRY
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Co-Founder, Chief Science Officer
Study Record Dates
First Submitted
September 25, 2024
First Posted
October 3, 2024
Study Start
May 1, 2024
Primary Completion
August 8, 2025
Study Completion
August 8, 2025
Last Updated
August 19, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, ICF
- Time Frame
- We will provide data within six months of any approved request.
- Access Criteria
- Scientific groups who aim to validate our findings can make requests for data access. The study team agrees that the names and Institutions of persons either given or denied access to the data, and the bases for such decisions, will be summarized in the annual progress reports.
The research team will only share de-identified data from our studies that allows outside groups to independently validate our claims in our published scientific articles. All data and documentation will be de-identified and will be consistent with applicable laws and regulations.