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100-Year Human Aging Study

9 giugno 2026 aggiornato da: William Brandenburg, MD, Longevity Metrics, Inc.

100-Year Human Aging Study: Prospective Longitudinal Validation of Multi-System Health Measurements Against Mortality and Aging Outcomes

The 100-Year Human Aging Study is a prospective, pragmatic, observational trial enrolling participants across fixed and mobile clinical sites to undergo comprehensive multi-system health screening and longitudinal follow-up until death. Participants are followed to determine whether measurements taken at enrollment and repeated across the lifespan - individually and in combination - predict all-cause mortality, cause-specific mortality, incident serious disease, and functional disability. The study is designed to generate the surrogate endpoint validation data that longevity medicine currently lacks.

Panoramica dello studio

Descrizione dettagliata

All currently existing longevity measures are surrogate endpoints that have not been prospectively validated against actual mortality and aging outcomes. The 100-Year Human Aging Study is a prospective, pragmatic, observational trial that addresses this gap by enrolling participants in comprehensive clinical screening and following them longitudinally until death to determine which measurements - alone and in combination - are predictive of mortality, serious disease, and functional disability.

The study prioritizes dynamic measurements: the physiological, cognitive, social, and environmental capacities that change with aging and are most likely to carry predictive signal for mortality and functional outcomes. These include cardiorespiratory fitness (cardiopulmonary exercise testing with ventilatory threshold analysis), strength (grip, explosive power, functional movement), mobility and balance, neurocognitive performance, sensory function (vision, hearing, smell, light touch), and metabolic function (oral glucose tolerance, continuous glucose monitoring), in addition to other testing. Structural and imaging assessments include body composition and bone mineral density by DEXA, echocardiography, resting and stress electrocardiography, spirometry, retinal fundus photography, and vascular ultrasound. Laboratory measures are drawn on-site and processed through a CLIA-certified reference laboratory. Complete medical, surgical, family, social, occupational, and environmental histories are obtained at each visit.

Participation ranges from single-service visits - including standalone DEXA, cardiopulmonary exercise testing, laboratory panel testing, and sleep studies - to the full two-visit comprehensive screening battery. All participation pathways contribute clinical data to the longitudinal mortality and aging outcomes linkage framework regardless of service level. Participants are encouraged to return for repeat testing to build longitudinal health trajectories across the lifespan.

At enrollment and across longitudinal follow-up, the study platform generates individualized investigational constructs including biological age estimate, predicted death age, and predicted cause of death profile. These are explicitly investigational hypotheses, not validated clinical standards. Their predictive validity relative to actual mortality, aging outcomes, and functional disability is a central scientific question this study is designed to answer, both for individual measures and for composite multi-system models.

All data are archived in their highest-dimensional raw form to preserve the ability to apply future analytical methods retroactively. Participants are followed with periodic contact and offered repeat screening throughout the lifespan. Longitudinal outcomes ascertainment includes all-cause mortality, cause-specific mortality, incident serious health events, chronic disease diagnosis, functional independence, disability status, and health behavior change.

Tipo di studio

Osservativo

Iscrizione (Stimato)

1000000

Contatti e Sedi

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

Contatto studio

Luoghi di studio

    • Colorado
      • Boulder, Colorado, Stati Uniti, 80301
        • Reclutamento
        • Longevity Metrics
        • 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

Participants of all ages, health statuses, and demographic backgrounds presenting for comprehensive preventive health screening at fixed or mobile clinical sites. No exclusions based on health status, geographic location, language, or population group. Participants with limited decision-making capacity may be enrolled with consent from a legally authorized representative. The study actively seeks to enroll participants across the full human lifespan including older adults and centenarians.

Descrizione

Inclusion Criteria:

  • Age 18 years or older
  • Willing and able to provide written informed consent, or enrollment with consent of a legally authorized representative
  • Willing to participate in longitudinal follow-up

Exclusion Criteria:

  • Age under 18 years

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

Cosa sta misurando lo studio?

Misure di risultato primarie

Misura del risultato
Misura Descrizione
Lasso di tempo
All-Cause Mortality
Lasso di tempo: From enrollment until death, assessed periodically, up to 100 years
Vital status ascertained through longitudinal follow-up contact, mortality record linkage, and health data network linkage using probabilistic matching on name, date of birth, and address history.
From enrollment until death, assessed periodically, up to 100 years
Cause-Specific Mortality
Lasso di tempo: From enrollment until death, assessed periodically, up to 100 years
Cause of death ascertained via death certificate and mortality record linkage.
From enrollment until death, assessed periodically, up to 100 years

Misure di risultato secondarie

Misura del risultato
Misura Descrizione
Lasso di tempo
Cause-Specific Mortality Prediction Accuracy
Lasso di tempo: From enrollment until death, assessed periodically, up to 100 years
Concordance between predicted cause of death profile generated at enrollment and actual cause of death ascertained at follow-up.
From enrollment until death, assessed periodically, up to 100 years
Incident Serious Adverse Health Events
Lasso di tempo: Periodically from enrollment until death, up to 100 years
New diagnosis of myocardial infarction, stroke, cancer, dementia, heart failure, atrial fibrillation, sepsis, venous thromboembolism, COPD, chronic hypoxia, or major fracture ascertained via periodic follow-up contact and health data network linkage.
Periodically from enrollment until death, up to 100 years
Incident Chronic Disease
Lasso di tempo: Periodically from enrollment until death, up to 100 years
New diagnosis of type 2 diabetes, hypertension, COPD, chronic kidney disease, metabolic syndrome, or osteoporosis ascertained via self-report and health data network linkage.
Periodically from enrollment until death, up to 100 years
Functional Independence and Disability Status
Lasso di tempo: Periodically from enrollment until death, up to 100 years
Activities of daily living, instrumental activities of daily living, and self-reported disability status ascertained via periodic health survey using validated open-source instruments. Higher composite scores indicate greater functional independence. Specific instruments will be selected prior to first follow-up contact and documented in the statistical analysis plan.
Periodically from enrollment until death, up to 100 years
Biological Age Estimate Prediction Accuracy
Lasso di tempo: Periodically from enrollment until death, up to 100 years
Concordance between investigational biological age estimate and actual mortality outcomes at longitudinal follow-up.
Periodically from enrollment until death, up to 100 years
Health Behavior Change: Composite Self-Report and Repeat Screening Index
Lasso di tempo: Periodically from enrollment until death, up to 100 years
Health behavior change assessed through two complementary measures aggregated into a single index: validated composite self-report survey administered at periodic follow-up, and change in pre-specified clinical measurements at repeat screening. Improvement in objective clinical measurements (cardiorespiratory fitness, body composition, metabolic biomarkers, and related parameters) serves as the primary behavioral activation signal. Self-report domains including health behaviors and preventive care utilization provide supporting context. Both are combined into a single participant-level health activation index. Higher scores indicate greater engagement with health-promoting behaviors and measurable clinical improvement.
Periodically from enrollment until death, up to 100 years
Multi-System Predictor Modeling: Concordance Statistic
Lasso di tempo: Periodically from enrollment until death, up to 100 years
Predictive model performance quantified by concordance statistic (C-statistic) assessing the accuracy of a unified multi-domain measurement framework in predicting all-cause mortality and incident serious disease. The framework integrates clinical, biological, behavioral, social, occupational, and environmental data into a single composite predictive model. Analyses are reported as a single C-statistic for the full composite model, with pre-specified secondary reporting of C-statistics for individual predictor domains and domain combinations to identify which inputs are independently predictive, redundant, or synergistic. All analyses converge on the same unit of measure and the same outcome endpoints.
Periodically from enrollment until death, up to 100 years

Collaboratori e investigatori

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

Investigatori

  • Investigatore principale: William E Brandenburg, MD, Longevity Metrics, 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.

Collegamenti utili

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 (Effettivo)

9 febbraio 2025

Completamento primario (Stimato)

31 dicembre 2099

Completamento dello studio (Stimato)

31 dicembre 2099

Date di iscrizione allo studio

Primo inviato

11 aprile 2026

Primo inviato che soddisfa i criteri di controllo qualità

30 aprile 2026

Primo Inserito (Effettivo)

4 maggio 2026

Aggiornamenti dei record di studio

Ultimo aggiornamento pubblicato (Effettivo)

11 giugno 2026

Ultimo aggiornamento inviato che soddisfa i criteri QC

9 giugno 2026

Ultimo verificato

1 giugno 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)?

NO

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

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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