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Related Concept Videos

Bone Disorders01:29

Bone Disorders

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Aging and its effect on bone remodeling is the most common cause of bone disorders. In young and healthy people, bone deposition and resorption happen at an equal rate to maintain optimal bone health.
Bone deposition is also affected by the levels of sex hormones like estrogen and testosterone that promote osteoblast activity and bone matrix synthesis. When the level of these hormones decreases due to aging, it causes a reduction in bone deposition. As a result, bone resorption by osteoclasts...
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Related Experiment Video

Updated: Jun 3, 2025

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
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Insulin Resistance and Bone Mineral Density: A Comprehensive Examination Using UK Biobank Data.

Yu-Tun Hung1,2, Tsong-Han Yu2, Javad Alizargar3

  • 1Department of Orthopedics Surgery, Department of Medicine, Hualien Armed Forces General Hospital, Hualien 971, Taiwan.

Healthcare (Basel, Switzerland)
|January 8, 2025
PubMed
Summary

The Triglyceride and Glucose (TyG) index showed an initial positive correlation with bone mineral density (BMD). However, this link between the TyG index and BMD was not significant after adjusting for common factors, suggesting it may not predict osteoporosis.

Keywords:
TyG indexUK Biobankbone mineral densityinsulin resistanceosteoporosispropensity score matching

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Area of Science:

  • Endocrinology
  • Metabolic Syndrome
  • Bone Health

Background:

  • The relationship between insulin resistance (IR) and bone mineral density (BMD) is debated.
  • The Triglyceride and Glucose (TyG) index is a marker for insulin resistance.

Purpose of the Study:

  • To evaluate the predictive value of the TyG index for bone mineral density (BMD) changes.
  • To determine if the TyG index can predict osteoporosis development or progression.

Main Methods:

  • Analysis of UK Biobank data from 2527 participants.
  • Calculation of the TyG index: Ln (triglycerides [mg/dL] × glucose [mg/dL]/2).
  • Statistical analysis including logistic models, ANOVA, and propensity score matching for age, BMI, and sex.

Main Results:

  • An initial positive correlation was found between the TyG index and BMD.
  • This association lost statistical significance after adjusting for age, sex, and BMI.
  • Propensity score matching revealed no significant inverse relationship between the TyG index and osteoporosis.

Conclusions:

  • The TyG index's positive correlation with BMD may be confounded by age, sex, and BMI.
  • The TyG index alone does not appear to be a reliable predictor of changes in T-score or osteoporosis status.