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NeuroFinance Human Stress Trial During Financial and Informational Volatility (NFHST)

27 maggio 2026 aggiornato da: Truway Health, Inc.

NeuroFinance Human Stress Trial During Financial and Informational Volatility (NFHST)

The NeuroFinance Human Stress Trial (NFHST-2026-001) is a decentralized observational clinical study designed to evaluate how financial market volatility, economic uncertainty, digital media exposure, and information-driven stress environments affect human physiologic and behavioral health. Participants will undergo remote monitoring using wearable biosensors, cardiovascular telemetry devices, sleep tracking systems, heart rate variability monitoring, and behavioral analytics platforms. The study will use artificial intelligence and machine learning systems to analyze relationships between external financial and informational events and biologic stress responses, including autonomic nervous system activity, sleep disruption, cardiovascular strain, emotional resilience, and inflammatory signaling. The goal of the study is to develop predictive digital biomarkers and AI-assisted forecasting systems capable of identifying stress-related physiologic deterioration before clinical manifestation.

Panoramica dello studio

Descrizione dettagliata

The NeuroFinance Human Stress Trial (NFHST-2026-001) is a prospective, decentralized observational study designed to evaluate physiologic and behavioral responses associated with exposure to financial market volatility, economic uncertainty, and digitally mediated informational stress environments.

Participants will undergo remote monitoring using commercially available wearable biosensor technologies and digital health platforms. Data collection may include continuous or intermittent monitoring of:

Heart rate variability (HRV) Resting heart rate Sleep duration and sleep efficiency Blood pressure measurements Physical activity metrics Galvanic skin response Voice-based behavioral analytics Optional electrocardiographic monitoring

Environmental and informational exposure datasets may include:

Financial market volatility indices News sentiment datasets Social media exposure metrics Economic uncertainty indicators Behavioral interaction telemetry

Artificial intelligence and machine learning systems may be used for exploratory correlation analyses between physiologic biomarkers and external informational stressors.

No investigational drug or invasive intervention will be administered as part of this observational study.

Optional biologic sampling may include saliva-based inflammatory biomarker collection and participant-reported psychometric assessments.

Primary analyses will evaluate longitudinal changes in physiologic stress-related biomarkers during periods of elevated informational or financial stress exposure.

Secondary analyses will evaluate associations between physiologic variability, behavioral adaptation metrics, sleep disruption, and cognitive performance measures.

The study is intended to support development of digital biomarker methodologies and decentralized monitoring frameworks for stress-related physiologic research.

Tipo di studio

Osservativo

Iscrizione (Stimato)

2500

Contatti e Sedi

Questa sezione fornisce i recapiti di coloro che conducono lo studio e informazioni su dove viene condotto lo studio.

Contatto studio

Backup dei contatti dello studio

Luoghi di studio

    • New York
      • New York, New York, Stati Uniti, 10016
        • Truway Health, Inc.
        • Contatto:

Criteri di partecipazione

I ricercatori cercano persone che corrispondano a una certa descrizione, chiamata criteri di ammissibilità. Alcuni esempi di questi criteri sono le condizioni generali di salute di una persona o trattamenti precedenti.

Criteri di ammissibilità

Età idonea allo studio

  • Adulto
  • Adulto più anziano

Accetta volontari sani

Metodo di campionamento

Campione non probabilistico

Popolazione di studio

The study population will consist of adult participants exposed to varying levels of financial market activity, economic stress environments, occupational stress, and digital media exposure. Participants may include retail investors, financial professionals, active traders, technology workers, digitally connected individuals, and members of the general population. The study is designed to evaluate physiologic, behavioral, cardiovascular, autonomic nervous system, and sleep-related responses to financial and informational stress environments using wearable biosensors, digital health technologies, and artificial intelligence-assisted analytics platforms.

Descrizione

Inclusion Criteria:

  • Adults age 18 years and older.
  • Ability to provide informed consent.
  • Willingness and ability to comply with study procedures and remote monitoring requirements.
  • Access to a compatible smartphone, tablet, or internet-connected device for decentralized study participation.
  • Willingness to utilize wearable physiologic monitoring technologies during the study period.
  • Participants with varying degrees of financial market exposure, occupational stress exposure, or digital media exposure are eligible.
  • Healthy volunteers and participants with self-reported stress-related symptoms may be enrolled.
  • Ability to read and understand English-language consent and study materials.

Exclusion Criteria:

  • Individuals unable or unwilling to provide informed consent.
  • Individuals unable to comply with remote monitoring procedures or wearable device usage requirements.
  • Active medical or psychiatric instability that, in the opinion of study investigators, may interfere with study participation or data integrity.
  • Current incarceration or institutionalization limiting voluntary participation.
  • Participation in another interventional clinical trial that may substantially interfere with physiologic monitoring outcomes.
  • Any condition that would significantly impair safe study participation as determined by the study investigators.

Piano di studio

Questa sezione fornisce i dettagli del piano di studio, compreso il modo in cui lo studio è progettato e ciò che lo studio sta misurando.

Come è strutturato lo studio?

Dettagli di progettazione

Coorti e interventi

Gruppo / Coorte
Intervento / Trattamento
Retail Investors / Active Traders Cohort
Participants actively engaged in retail equity, options, futures, cryptocurrency, or other financial trading activities who are exposed to frequent market volatility and information-driven financial stress environments.

Commercially available wearable physiologic monitoring devices and digital health technologies will be used to collect continuous or intermittent biometric, cardiovascular, autonomic nervous system, behavioral, and sleep-related data during exposure to financial market volatility, economic uncertainty, and information-driven stress environments.

Monitoring technologies may include:

wearable ECG devices, heart rate variability (HRV) monitors, blood pressure monitoring systems, sleep tracking devices, galvanic skin response sensors, activity monitoring wearables, voice analysis systems, and optional EEG-enabled wearable technologies.

Data generated from these systems will be integrated with artificial intelligence and machine learning-based analytics platforms for evaluation of physiologic stress responses and digital biomarker forecasting.

Financial Professionals Cohort
Participants employed in financial services, institutional trading, investment banking, hedge funds, private equity, fintech, wealth management, or related high-stress financial occupations.

Commercially available wearable physiologic monitoring devices and digital health technologies will be used to collect continuous or intermittent biometric, cardiovascular, autonomic nervous system, behavioral, and sleep-related data during exposure to financial market volatility, economic uncertainty, and information-driven stress environments.

Monitoring technologies may include:

wearable ECG devices, heart rate variability (HRV) monitors, blood pressure monitoring systems, sleep tracking devices, galvanic skin response sensors, activity monitoring wearables, voice analysis systems, and optional EEG-enabled wearable technologies.

Data generated from these systems will be integrated with artificial intelligence and machine learning-based analytics platforms for evaluation of physiologic stress responses and digital biomarker forecasting.

General Population Control Cohort
Participants from the general population with varying levels of financial market exposure serving as a comparative baseline cohort for physiologic and behavioral stress-response analysis.

Commercially available wearable physiologic monitoring devices and digital health technologies will be used to collect continuous or intermittent biometric, cardiovascular, autonomic nervous system, behavioral, and sleep-related data during exposure to financial market volatility, economic uncertainty, and information-driven stress environments.

Monitoring technologies may include:

wearable ECG devices, heart rate variability (HRV) monitors, blood pressure monitoring systems, sleep tracking devices, galvanic skin response sensors, activity monitoring wearables, voice analysis systems, and optional EEG-enabled wearable technologies.

Data generated from these systems will be integrated with artificial intelligence and machine learning-based analytics platforms for evaluation of physiologic stress responses and digital biomarker forecasting.

High Digital Media Exposure Cohort
Participants with elevated exposure to financial news, algorithmic media feeds, social media platforms, and information-intensive digital environments associated with financial and geopolitical stress signaling.

Commercially available wearable physiologic monitoring devices and digital health technologies will be used to collect continuous or intermittent biometric, cardiovascular, autonomic nervous system, behavioral, and sleep-related data during exposure to financial market volatility, economic uncertainty, and information-driven stress environments.

Monitoring technologies may include:

wearable ECG devices, heart rate variability (HRV) monitors, blood pressure monitoring systems, sleep tracking devices, galvanic skin response sensors, activity monitoring wearables, voice analysis systems, and optional EEG-enabled wearable technologies.

Data generated from these systems will be integrated with artificial intelligence and machine learning-based analytics platforms for evaluation of physiologic stress responses and digital biomarker forecasting.

Cosa sta misurando lo studio?

Misure di risultato primarie

Misura del risultato
Misura Descrizione
Lasso di tempo
Change in Heart Rate Variability (HRV) During Financial Stress Exposure
Lasso di tempo: Baseline through 24 Months
Heart rate variability will be measured using wearable electrocardiographic or photoplethysmographic monitoring devices. HRV will be quantified as the root mean square of successive differences (RMSSD) in milliseconds. Higher RMSSD values generally indicate improved autonomic nervous system flexibility and lower physiologic stress burden.
Baseline through 24 Months
Change in Sleep Duration
Lasso di tempo: Baseline through 24 Months
Sleep duration will be measured in hours per night using wearable sleep monitoring devices.
Baseline through 24 Months
Change in Resting Heart Rate
Lasso di tempo: Baseline through 24 Months
Resting heart rate will be measured in beats per minute using wearable biosensor devices.
Baseline through 24 Months
Change in Perceived Stress Scale-10 (PSS-10) Total Score
Lasso di tempo: Baseline through 24 Months
Perceived stress will be assessed using the validated 10-item Perceived Stress Scale-10 questionnaire. Scores range from 0 to 40, with higher scores indicating greater perceived psychological stress and worse stress-related outcomes.
Baseline through 24 Months

Misure di risultato secondarie

Misura del risultato
Misura Descrizione
Lasso di tempo
Change in Sleep Efficiency
Lasso di tempo: Baseline through 24 Months
Sleep efficiency percentage measured using wearable sleep tracking systems.
Baseline through 24 Months
Change in Galvanic Skin Response (GSR) Measurements
Lasso di tempo: Baseline through 24 Months
Electrodermal activity will be measured in microsiemens using wearable biosensor devices to assess sympathetic nervous system activation and physiologic stress responsiveness. Higher values may reflect increased autonomic arousal during stress exposure conditions.
Baseline through 24 Months
Change in Generalized Anxiety Disorder-7 (GAD-7) Total Score
Lasso di tempo: Baseline through 24 Months
Anxiety symptoms will be assessed using the validated Generalized Anxiety Disorder-7 questionnaire. Scores range from 0 to 21, with higher scores indicating greater anxiety symptom severity and worse psychological outcomes.
Baseline through 24 Months

Collaboratori e investigatori

Qui è dove troverai le persone e le organizzazioni coinvolte in questo studio.

Investigatori

  • Investigatore principale: Gavin C Solomon, Investigator, Truway Health, Inc.

Pubblicazioni e link utili

La persona responsabile dell'inserimento delle informazioni sullo studio fornisce volontariamente queste pubblicazioni. Questi possono riguardare qualsiasi cosa relativa allo studio.

Pubblicazioni generali

Studiare le date dei record

Queste date tengono traccia dell'avanzamento della registrazione dello studio e dell'invio dei risultati di sintesi a ClinicalTrials.gov. I record degli studi e i risultati riportati vengono esaminati dalla National Library of Medicine (NLM) per assicurarsi che soddisfino specifici standard di controllo della qualità prima di essere pubblicati sul sito Web pubblico.

Studia le date principali

Inizio studio (Stimato)

15 luglio 2026

Completamento primario (Stimato)

31 dicembre 2028

Completamento dello studio (Stimato)

30 giugno 2029

Date di iscrizione allo studio

Primo inviato

15 maggio 2026

Primo inviato che soddisfa i criteri di controllo qualità

27 maggio 2026

Primo Inserito (Effettivo)

3 giugno 2026

Aggiornamenti dei record di studio

Ultimo aggiornamento pubblicato (Effettivo)

3 giugno 2026

Ultimo aggiornamento inviato che soddisfa i criteri QC

27 maggio 2026

Ultimo verificato

1 maggio 2026

Maggiori informazioni

Termini relativi a questo studio

Piano per i dati dei singoli partecipanti (IPD)

Hai intenzione di condividere i dati dei singoli partecipanti (IPD)?

Descrizione del piano IPD

Individual participant data (IPD) collected during this study may be shared with qualified researchers, academic institutions, public health entities, and collaborative research organizations following de-identification and in accordance with applicable privacy, ethical, regulatory, and institutional review board requirements.

Shared datasets may include:

wearable physiologic monitoring data, heart rate variability measurements, sleep monitoring data, behavioral analytics, psychometric assessment results, inflammatory biomarker datasets, and associated digital biomarker outputs.

Data sharing may support future research involving:

stress physiology, cardiovascular health, behavioral medicine, artificial intelligence-assisted predictive analytics, digital biomarker development, decentralized clinical research, neuroeconomics, and public health forecasting systems.

Supporting documents that may be shared include:

study protocol, statistical analysis plan, informed consent templates,

Periodo di condivisione IPD

Individual participant data (IPD) and supporting study documentation are expected to become available beginning approximately 12 months following publication of the primary study results or completion of the study, whichever occurs first. De-identified datasets and supporting materials may remain available for up to 10 years following study completion, subject to institutional review board requirements, sponsor policies, participant privacy protections, data use agreements, and applicable regulatory requirements.

Criteri di accesso alla condivisione IPD

Access to de-identified individual participant data (IPD) and supporting documentation may be provided to qualified researchers, academic institutions, public health organizations, and collaborative research entities whose proposed use is scientifically and ethically appropriate. Requests for access may require submission of a research proposal, statistical analysis plan, institutional affiliation verification, and execution of applicable data use or confidentiality agreements.

Available materials may include:

de-identified participant datasets, wearable physiologic monitoring data, sleep and heart rate variability datasets, biomarker data, study protocol, statistical analysis plan, analytic code, informed consent templates, and associated supporting documentation.

Data access determinations will be reviewed by the study sponsor and applicable oversight processes to ensure participant privacy, ethical compliance, and regulatory alignment.

Tipo di informazioni di supporto alla condivisione IPD

  • STUDIO_PROTOCOLLO
  • LINFA
  • ICF
  • CODICE_ANALITICO
  • RSI

Dati/documenti di studio

  1. Set di dati del singolo partecipante
    Identificatore informazioni: NFHST-IPD-2026-001
    Commenti informativi: De-identified participant datasets, wearable physiologic monitoring data, heart rate variability measurements, behavioral analytics outputs, inflammatory biomarker datasets, statistical analysis plans, and analytic code related to the NeuroFinance Human Stress Trial During Financial and Informational Volatility (NFHST-2026-001) may be made available to qualified researchers upon approval of an appropriate research proposal and execution of applicable data use agreements and institutional review procedures.

Informazioni su farmaci e dispositivi, documenti di studio

Studia un prodotto farmaceutico regolamentato dalla FDA degli Stati Uniti

No

Studia un dispositivo regolamentato dalla FDA degli Stati Uniti

prodotto fabbricato ed esportato dagli Stati Uniti

No

Queste informazioni sono state recuperate direttamente dal sito web clinicaltrials.gov senza alcuna modifica. In caso di richieste di modifica, rimozione o aggiornamento dei dettagli dello studio, contattare register@clinicaltrials.gov. Non appena verrà implementata una modifica su clinicaltrials.gov, questa verrà aggiornata automaticamente anche sul nostro sito web .

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