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Related Experiment Video

Updated: Jun 2, 2026

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes
07:22

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes

Published on: March 7, 2025

Unveiling the BMI Risk Threshold for Osteoarthritis: Multi-Database Causal and Nonlinear Evidence.

Shaohong Yu1, Li Zeng2, Lei Yang3

  • 1Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.

Diabetes, Obesity & Metabolism
|May 31, 2026
PubMed
Summary

Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

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This summary is machine-generated.

Osteoarthritis (OA) risk increases nonlinearly with Body Mass Index (BMI), with significant thresholds identified. Early weight management is crucial, especially for individuals with a BMI over 24 kg/m², to mitigate OA development.

Area of Science:

  • Epidemiology
  • Orthopedics
  • Public Health

Background:

  • Osteoarthritis (OA) is a significant cause of disability worldwide.
  • The relationship between Body Mass Index (BMI) and OA is complex and requires precise characterization.
  • Identifying specific BMI thresholds is essential for targeted prevention strategies.

Purpose of the Study:

  • To elucidate the nonlinear association between BMI and osteoarthritis.
  • To determine critical BMI thresholds for effective OA prevention.
  • To investigate the causal link between BMI and OA subtypes.

Main Methods:

  • Integrated data from Global Burden of Disease 2021, NHANES (2007-2018), and GWAS.
  • Employed generalized additive models to visualize BMI-OA relationships.
Keywords:
body mass indexglobal burden of diseasemendelian randomizationnational health and nutrition examination aurveyosteoarthritis

Related Experiment Videos

Last Updated: Jun 2, 2026

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes
07:22

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes

Published on: March 7, 2025

  • Utilized segmented logistic regression and Mendelian randomization to identify thresholds and causal effects.

    • Main Results:

    • OA prevalence and disability rates correlate with high Socio-demographic Index (SDI).
    • Nonlinear BMI-OA relationship identified with breakpoints at 24.00 and 41.58 kg/m².
    • Increased BMI causally linked to knee and hip osteoarthritis, particularly in women and those over 45.

    Conclusions:

    • Weight management interventions should commence before BMI enters the high-risk range.
    • Individuals with BMI > 24 kg/m² require heightened OA risk awareness.
    • Targeted prevention strategies based on BMI thresholds can improve OA management.