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

23 augusti 2026 uppdaterad av: 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.

Studieöversikt

Detaljerad beskrivning

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.

Studietyp

Observationell

Inskrivning (Beräknad)

2500

Kontakter och platser

Det här avsnittet innehåller kontaktuppgifter för dem som genomför studien och information om var denna studie genomförs.

Studieorter

    • New York
      • New York, New York, Förenta staterna, 10016
        • Truway Health, Inc.

Deltagandekriterier

Forskare letar efter personer som passar en viss beskrivning, så kallade behörighetskriterier. Några exempel på dessa kriterier är en persons allmänna hälsotillstånd eller tidigare behandlingar.

Urvalskriterier

Åldrar som är berättigade till studier

  • Vuxen
  • Äldre vuxen

Tar emot friska volontärer

Ja

Testmetod

Icke-sannolikhetsprov

Studera befolkning

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.

Beskrivning

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.

Studieplan

Det här avsnittet ger detaljer om studieplanen, inklusive hur studien är utformad och vad studien mäter.

Hur är studien utformad?

Designdetaljer

Kohorter och interventioner

Grupp / Kohort
Intervention / Behandling
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.

Vad mäter studien?

Primära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Change in Heart Rate Variability (HRV) During Financial Stress Exposure
Tidsram: 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
Tidsram: 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
Tidsram: 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
Tidsram: 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

Sekundära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Change in Sleep Efficiency
Tidsram: Baseline through 24 Months
Sleep efficiency percentage measured using wearable sleep tracking systems.
Baseline through 24 Months
Change in Galvanic Skin Response (GSR) Measurements
Tidsram: 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
Tidsram: 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

Samarbetspartners och utredare

Det är här du hittar personer och organisationer som är involverade i denna studie.

Utredare

  • Huvudutredare: Gavin C Solomon, Investigator, Truway Health, Inc.

Publikationer och användbara länkar

Den som ansvarar för att lägga in information om studien tillhandahåller frivilligt dessa publikationer. Dessa kan handla om allt som har med studien att göra.

Allmänna publikationer

Studieavstämningsdatum

Dessa datum spårar framstegen för inlämningar av studieposter och sammanfattande resultat till ClinicalTrials.gov. Studieposter och rapporterade resultat granskas av National Library of Medicine (NLM) för att säkerställa att de uppfyller specifika kvalitetskontrollstandarder innan de publiceras på den offentliga webbplatsen.

Studera stora datum

Studiestart (Faktisk)

15 juli 2026

Primärt slutförande (Beräknad)

31 december 2028

Avslutad studie (Beräknad)

30 juni 2029

Studieregistreringsdatum

Först inskickad

15 maj 2026

Först inskickad som uppfyllde QC-kriterierna

27 maj 2026

Första postat (Faktisk)

3 juni 2026

Uppdateringar av studier

Senaste uppdatering publicerad (Faktisk)

25 augusti 2026

Senaste inskickade uppdateringen som uppfyllde QC-kriterierna

23 augusti 2026

Senast verifierad

1 augusti 2026

Mer information

Termer relaterade till denna studie

Plan för individuella deltagardata (IPD)

Planerar du att dela individuella deltagardata (IPD)?

JA

IPD-planbeskrivning

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,

Tidsram för IPD-delning

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.

Kriterier för IPD Sharing Access

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.

IPD-delning som stöder informationstyp

  • STUDY_PROTOCOL
  • SAV
  • ICF
  • ANALYTIC_CODE
  • CSR

Studiedata/dokument

  1. Datauppsättning för individuella deltagare
    Informationsidentifierare: NFHST-IPD-2026-001
    Informationskommentarer: 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.

Läkemedels- och apparatinformation, studiedokument

Studerar en amerikansk FDA-reglerad läkemedelsprodukt

Nej

Studerar en amerikansk FDA-reglerad produktprodukt

Ja

produkt tillverkad i och exporterad från U.S.A.

Nej

Denna information hämtades direkt från webbplatsen clinicaltrials.gov utan några ändringar. Om du har några önskemål om att ändra, ta bort eller uppdatera dina studieuppgifter, vänligen kontakta register@clinicaltrials.gov. Så snart en ändring har implementerats på clinicaltrials.gov, kommer denna att uppdateras automatiskt även på vår webbplats .

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