Obesity

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

Diabetes Obes MetabPublished Multi-database observational study with Mendelian randomisation

Authors' conclusion

These findings suggest that OA risk awareness and weight-management strategies should begin before BMI reaches the high range, particularly among individuals with BMI exceeding 24.00 kg/m2.

Study context

Population
Data from Global burden of disease 2021, NHANES 2007–2018 and Genome-Wide Association Studies
Exposure
BMI categories defined by thresholds for osteoarthritis (OA)
Outcome
Nonlinear relationship between BMI and OA, and BMI thresholds
Methodological detailsgeneralized additive model, segmented logistic regression, Mendelian randomization
  • Generalized additive model
  • Segmented logistic regression
  • Mendelian randomization

Main finding

As reported in the abstract

OA prevalence by BMI (segmented logistic regression)
Odds ratio per unit increase in BMI (95% CI)
BMI 24.00–41.58 kg/m²
1.022(1.003–1.041)
BMI >41.58 kg/m²
1.055(1.022–1.090)
OA prevalence rose nonlinearly with BMI; breakpoints
24.00 and 41.58 kg/m²

Observational data: associations, not effects.

Further findings

Knee OA (Mendelian randomization)

BMI causally associated with knee OA, OR
1.63 (1.50-1.77) (95% CI)

Hip OA (Mendelian randomization)

BMI causally associated with hip OA, OR
1.54 (1.40-1.70) (95% CI)

Susceptibility to knee OA

Women and individuals aged ≥ 45 years exhibited higher susceptibility to knee OA

Age-standardized prevalence and years lived with disability rates for OA · 1990 to 2021

Highest in regions with high SDI

Original publication

Unveiling the BMI Risk Threshold for Osteoarthritis: Multi‐Database Causal and Nonlinear Evidence. Diabetes Obes Metab. Published 31 May 2026. doi:10.1111/dom.70892

Composed by AI from the published abstract and checked against it. How Briefs are made →

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