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NCT03151590COMPLETEDanonymous

Non-Response to Exercise - Identification of Factors Contributing to Exercise Non-response.

Sponsor

Source record

University Hospital Tuebingen

Phase

Source record

Not Applicable

Modality

AI-normalized

behavioral intervention

Target

AI-normalized

Biomarkers and pathomechanisms related to insulin sensitivity and exercise response in overweight individuals at risk for type 2 diabetes.

Indication / condition

AI-normalized

Non-Responder

Intervention

Source record

exercise training

Source & freshness

Source record

NCT ID

NCT03151590

Original source

ClinicalTrials.gov

Source last updated

May 08, 2020

Ingested at

Jun 18, 2026

Internal sync

Jun 18, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

Open original registry record
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NCT ID

NCT03151590

Title

Non-Response to Exercise - Identification of Factors Contributing to Exercise Non-response.

Sponsor

University Hospital Tuebingen

Status

COMPLETED

Phase

Not Applicable

Condition raw

Non-Responder

Condition normalized

Non-Responder

Modality raw

behavioral intervention

Modality normalized

behavioral intervention

Target raw

Biomarkers and pathomechanisms related to insulin sensitivity and exercise response in overweight individuals at risk for type 2 diabetes.

Target normalized

Biomarkers and pathomechanisms related to insulin sensitivity and exercise response in overweight individuals at risk for type 2 diabetes.

Interventions

exercise training

Public preview

Source record

The study conducted by University Hospital Tuebingen aims to identify biomarkers and mechanisms contributing to exercise non-response in individuals at risk for type 2 diabetes. This research could lead to the development of targeted prevention strategies, either pharmacological or through tailored exercise regimens. Given the rising prevalence of type 2 diabetes globally, successful identification of non-responders could create significant market opportunities for personalized medicine approaches and interventions. Companies focusing on metabolic diseases and diabetes management may find strategic partnerships or investment opportunities in the findings of this study, especially in the context of developing adjunct therapies or lifestyle interventions.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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