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Proceedings of the National Academy of Sciences· 2017Q1

Knee osteoarthritis has doubled in prevalence since the mid-20th century

Ian J. Wallace, Steven Worthington, David T. Felson, Robert Jurmain et al.

Short summary

Knee osteoarthritis (OA) prevalence is 2.1-fold higher in postindustrial populations compared to early industrial ones, indicating an approximate doubling since the mid-20th century, a rise not fully explained by increased longevity or BMI.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Knee OA prevalence is 16% in postindustrial samples vs. 6-8% in early industrial/prehistoric samples.
  • Postindustrial populations have a 2.1-fold higher prevalence of knee OA (95% CI, 1.5-3.1) after controlling for age, BMI, and other variables.
  • Increased longevity and BMI do not fully explain the approximate doubling of knee OA prevalence since the mid-20th century.
  • Knee OA is suggested to be more preventable, requiring investigation into novel postindustrial risk factors.

AI-generated from the title and abstract; the full text is not read.

Abstract

= 176). OA was diagnosed based on the presence of eburnation (polish from bone-on-bone contact). Overall, knee OA prevalence was found to be 16% among the postindustrial sample but only 6% and 8% among the early industrial and prehistoric samples, respectively. After controlling for age, BMI, and other variables, knee OA prevalence was 2.1-fold higher (95% confidence interval, 1.5-3.1) in the postindustrial sample than in the early industrial sample. Our results indicate that increases in longevity and BMI are insufficient to explain the approximate doubling of knee OA prevalence that has occurred in the United States since the mid-20th century. Knee OA is thus more preventable than is commonly assumed, but prevention will require research on additional independent risk factors that either arose or have become amplified in the postindustrial era.

The authors' abstract, as published at the source. Proceedings of the National Academy of Sciences, 2017 · DOI ↗

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Field: Rheumatology

RheumatologyMedicine