Psychological Research & Evidence

The Scientific Foundations of Dypa.

Scientific framework behind our methods: Ambulatory mood tracking (EMA), CBT reflection, DBT distress tolerance, circadian rhythms, and local data sovereignty – grounded, transparent, and without unverified claims.

Editorial Review: October 2026 Peer-Reviewed Sources & Clinical Guidelines 100% On-Device Architecture
CBT & DBT Frameworks
Ambulatory Assessment (EMA)
100% On-Device Privacy
Peer-Reviewed Evidence & DOIs
Designed for Psychotherapy Support
Scientific Rigor

Transparent Differentiation on Three Levels

Responsible health communication requires maintaining a clear distinction between validated clinical therapies, general digital health monitoring, and the Dypa product itself:

1. Clinical Therapies

Evidence for Therapeutic Methods

Cognitive Behavioral Therapy (CBT), Dialectical Behavior Therapy (DBT), structured self-monitoring, and IPSRT are supported by hundreds of randomized controlled trials (RCTs) and international psychiatric guidelines.

2. Digital Monitoring

Evidence for Mobile EMA Tools

Research on Ecological Momentary Assessment (EMA) demonstrates that capturing emotions in the moment significantly reduces retrospective memory distortions (recall bias) and strengthens self-efficacy.

3. Status of Dypa

Supportive Tool, No Medical Claim

Dypa is a supportive self-monitoring and therapy-adjunct tool, not a certified medical device and not a standalone medical cure. A field evaluation with outpatient practices is currently in preparation.

Ambulatory Monitoring

Self-Monitoring & Mood Tracking (Ecological Momentary Assessment)

Structured self-monitoring is one of the fundamental pillars of modern clinical psychology. When evaluating their emotional states retrospectively, individuals regularly experience systematic cognitive distortions: recent acute stress or positive events disproportionately skew recollections of the preceding weeks (the classic recall bias).

By implementing standardized mood tracking in real-world environments (Ecological Momentary Assessment, EMA), affective states are documented in real time and in context. Clinical reviews demonstrate key therapeutic mechanisms:

Affective Self-Awareness

Consciously labeling and rating emotional states activates prefrontal regulatory networks and down-regulates amygdala reactivity (affect labeling per Lieberman et al.).

Pattern & Trigger Identification

Recurring links between activities, social interactions, sleep variations, and emotional dips become measurable rather than speculative.

Enhanced Clinical Communication

Valuable therapy time is not wasted trying to reconstruct forgotten weeks; instead, objective longitudinal trajectories serve as a reliable clinical agenda.

Scientific Reference: Ebner-Priemer & Trull (2009); Myin-Germeys et al. (2018) emphasize that electronic ambulatory assessment substantially increases the ecological validity of clinical trajectory data compared to retrospective paper logs.
CBT Foundations

Cognitive Behavioral Therapy (CBT): The Cognitive Model & Thought Tracking

Cognitive Behavioral Therapy is built on the established premise that emotional reactions are not directly triggered by events themselves, but rather by the automatic thoughts and interpretations we apply to them (Aaron T. Beck’s cognitive model).

Dypa adapts proven, evidence-based CBT principles for practical daily self-reflection:

Thought Records

During times of emotional distress, users can capture automatic thoughts to inspect cognitive distortions (such as catastrophizing, mind reading, or black-and-white thinking) in a structured manner.

Cognitive Restructuring

Guided prompts encourage examining automatic assumptions against concrete evidence and formulating balanced alternative perspectives.

Behavioral Activation

Evaluating the interplay between habits and mood ratings enables users to identify positive reinforcers and break cycles of depressive avoidance.

Scientific Reference: Beck (2011) and Cuijpers et al. (2019) confirm through extensive meta-analyses the superior efficacy of CBT in treating mood and anxiety disorders via structured self-monitoring.
DBT & Crisis Resilience

Dialectical Behavior Therapy (DBT): Distress Tolerance & Safety Planning

Developed by Marsha M. Linehan and advanced by Christian Bohus, Dialectical Behavior Therapy is the international gold standard for borderline personality disorder, severe emotional dysregulation, and complex PTSD. The method centers on balancing radical acceptance with systematic skills training for behavior modification.

Dypa integrates interactive coping tools directly inspired by DBT modules:

Tension Log (0–100%)

Continuous subjective tension scaling enables users to recognize escalating distress early and initiate counter-strategies before cognitive overload sets in.

Distress Tolerance Skills

Rapid-access coping skills for high-tension states (TIPP skills, sensory grounding, progressive relaxation) to navigate emotional spikes safely.

Mindfulness & Grounding

Interactive exercises including the 5-4-3-2-1 sensory method, box breathing, and the mental safe place to anchor attention and interrupt dissociative episodes.

Digital Safety Plan

Structured emergency plan aligned with clinical guidelines offering immediate 1-tap access to personal contacts, coping steps, and professional helplines.

Important Clarification: Digital skills within Dypa do not replace an accredited DBT skills training group or individual psychotherapy. They serve as accessible daily support tools.
Chronobiology & Autonomic State

Sleep, Circadian Rhythms & Heart Rate Variability (HRV)

Circadian biology and mood stability are physiologically intertwined. In mood disorders such as bipolar disorder or recurrent major depression, circadian rhythm disruptions are frequently both an early warning signal and an active trigger for new affective episodes (as established in Interpersonal and Social Rhythm Therapy, IPSRT by Ellen Frank).

Dypa allows optional integration with passively captured physiological metrics through Apple Health and Health Connect:

Sleep Architecture & Regularity

Fragmented sleep or abrupt schedule shifts directly correlate with reduced stress tolerance and affective vulnerability on subsequent days.

Heart Rate Variability (HRV)

Beat-to-beat variability reflects parasympathetic nervous system activity (vagal tone) and acts as an objective marker of autonomic stress and recovery.

Correlation vs. Causation

Dypa visualizes trends to prompt personal reflection and medical dialogue; these metrics do not constitute diagnostic testing.

Scientific Reference: Frank et al. (2005); Harvey (2008) highlight the critical necessity of social and circadian rhythm stabilization for long-term relapse prevention in mood disorders.
Data Sovereignty

Privacy as a Clinical Prerequisite: 100% On-Device Architecture

Mood diaries contain people's most vulnerable thoughts, relational crises, and trauma notes. Psychological self-reflection can only occur when individuals are completely confident that their intimate records are safe from data breaches, profiling, and external monitoring.

100% Local Storage

All manually entered ratings, thought logs, reflections, and emergency plans remain stored exclusively on your device's secured local file system.

No User Account

Dypa does not require email addresses, phone numbers, or passwords. There is no central server database hosting user profiles.

Volatile Memory Processing

Biometric metrics from Apple Health or Health Connect are processed strictly on-the-fly in volatile RAM for chart generation and never sent to cloud servers.

Zero Third-Party Advertising SDKs

The core application contains zero commercial marketing trackers, advertising networks, or third-party behavioral analytics.

Data Minimization per Art. 5 GDPR: The most secure defense against health data leaks is never collecting personal data on central servers in the first place.
Planned Investigation

Scientific Research on Dypa: Planned Practice Field Evaluation

To evaluate the clinical utility and user experience of Dypa in routine outpatient care, Foundra UG is preparing collaborative studies with outpatient psychotherapists and university research clinics.

Research Objective: To investigate how structured, privacy-preserving smartphone self-monitoring impacts therapeutic adherence, goal alignment, and collaborative session preparation in outpatient cognitive behavioral therapy.

Transparency Note: This investigation is in its conceptual study protocol phase. Formal data collection has not yet commenced. Consequently, no premature or unverified efficacy claims are published. Verified findings will be published here transparently.
Peer-Reviewed Evidence

Literature & Scientific Sources

The methodologies integrated into Dypa draw upon the following peer-reviewed publications, systematic reviews, and clinical practice guidelines:

CBT Foundations & Cognitive Model

Beck, J. S. (2011). Cognitive Behavior Therapy: Basics and Beyond (2nd ed.). New York: Guilford Press.

Foundational Text
DBT-PTSD & Trauma Efficacy

Bohus, M., Kleindienst, N., Hahn, C., et al. (2020). Dialectical Behavior Therapy for Posttraumatic Stress Disorder Compared With Cognitive Processing Therapy. JAMA Psychiatry, 77(12), 1235–1245.

doi:10.1001/jamapsychiatry.2020.2148
Ecological Momentary Assessment (EMA)

Ebner-Priemer, U. W., & Trull, T. J. (2009). Ecological momentary assessment of mood disorders and stable characteristics. Annual Review of Clinical Psychology, 5, 295–311.

doi:10.1146/annurev.clinpsy.032408.153528
Circadian Rhythm Therapy (IPSRT)

Frank, E., Kupfer, D. J., Thase, M. E., et al. (2005). Two-Year Outcomes for Interpersonal and Social Rhythm Therapy in Individuals With Bipolar I Disorder. Archives of General Psychiatry, 62(9), 996–1004.

doi:10.1001/archpsyc.62.9.996
Sleep Architecture & Affect

Harvey, A. G. (2008). Sleep and circadian rhythms in bipolar disorder: seeking synchrony, harmony, and regulation. American Journal of Psychiatry, 165(7), 820–829.

doi:10.1176/appi.ajp.2008.08010098
Validated Depression Scale (PHQ-9)

Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606–613.

doi:10.1046/j.1525-1497.2001.016009606.x
DBT Crisis Resilience & Skills

Linehan, M. M. (1993). Cognitive-Behavioral Treatment of Borderline Personality Disorder. New York: Guilford Press.

Foundational Text
Digital Psychiatric Interventions

Myin-Germeys, I., Kasanova, Z., Vaessen, T., et al. (2018). Ecological momentary interventions in psychiatry: The next frontier. Psychological Medicine, 48(16), 2673–2683.

doi:10.1017/S0033291718000858
Validated Anxiety Scale (GAD-7)

Spitzer, R. L., Kroenke, K., Williams, J. B., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 1092–1097.

doi:10.1001/archinte.166.10.1092
Global Mental Health Guideline

World Health Organization (WHO). (2022). World Mental Health Report: Transforming mental health for all. Geneva: WHO.

WHO Report

Scientifically Grounded.
100% Private on Your Smartphone.

Use Dypa for your personal emotional reflection or as structured support for psychotherapy. No account, no cloud storage, complete data sovereignty.

Start free · Local On-Device Storage · No registration required