Conclusion
In the present study, we developed the first model for predicting the 4-year risk of developing symptomatic KOA in China, using longitudinal cohort. Our simple score model may aid in the early identification of individuals at the greatest risk of developing KOA within 4 years in clinical practice or community setting. Such early identification may allow for improved patient education and modification of certain risk factors, which may in turn decrease rates of KOA incident.
Abbreviations
ADLs: Activities of daily living; AIC: Akaike information criterion; AUC: Area under the receiver operating characteristic curve; BMI: Body mass index; CESD: Center for Epidemiologic Studies Depression Scale; CHARLS: China Health and Retirement Longitudinal Study; CI: Confidence intervals; IADLs: Instrumental activities of daily living; KOA: Knee osteoarthritis; LPA: Light physical activity; MPA: Moderate physical activity; MS: Metabolic syndrome; OR: Odds ratio; PA: Physical activity; PRO: Patient-reported outcome; SD: Standard deviation; TRIPOD: Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis; VPA: Vigorous physical activity
Acknowledgements
We thank the China Health and Retirement Longitudinal Study (CHARLS) team for providing nationally representative data.
Funding
This work was supported by the National Natural Science Foundation of China (no. 81972158).
Availability of data and materials
The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
The Medical Ethics Board Committee of Peking University granted the study an exemption from review.
Consent for publication
Not applicable.
Arthritis Res Ther. 2021;23(65) © 2021 BioMed Central, Ltd.
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