Development and validation of a three-dimensional nomogram prediction model for knee osteoarthritis in middle-aged population.

ABSTRACT:

Objectives

This study aims to identify predictors of knee osteoarthritis (KOA) risk in middle-aged population, construct and validate a nomogram for KOA in this demographic.

Methods

From June to December 2020, we conducted a cross-sectional survey on 5,527 middle-aged individuals from Changsha and Zhangjiajie cities in Hunan Province, selected using a stratified multi-stage random sampling method. Data collection involved a structured questionnaire encompassing general demographic, physical condition, and lifestyle behaviors dimensions. The dataset was randomly split into a training set (n = 3868) and a validation set (n = 1659) at a 7:3 ratio via computerized randomization. We analyzed the prevalence of self-reported KOA and identified its influencing factors using logistic

SUBMITTER: Li Y 

PROVIDER: S-EPMC11664829 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature