Obesity study reveals new ways to spot hidden health risks

NCT ID NCT07260487

Completed Knowledge-focused Sponsor: Tokat Gaziosmanpasa University Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This completed study looked at 332 adults with obesity to see if simple body measurements and blood tests could predict metabolic syndrome, a cluster of conditions that raise heart disease and diabetes risk. Participants were grouped by obesity severity, and researchers calculated various indices like waist-to-height ratio and lipid levels. The goal was to find which measurements best identify metabolic syndrome across different obesity classes.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could help doctors identify metabolic syndrome risk earlier in people with obesity using simple measurements.
What could go wrong: This is an observational study, not a treatment trial. It does not test any intervention, so it cannot directly improve health outcomes.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

abdominal obesity-metabolic syndrome metabolic syndrome X Obesity obesity disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

METABOLIC SYNDROME OBESITY

Contacts and locations

Locations

Tokat Gaziosmanpaşa University Health Research and Application Hospital

Tokat Province, 60250, Turkey (Türkiye)

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