Prediction of knee joint pain in Tai Chi practitioners: a cross-sectional machine learning approach.

ABSTRACT:

Objective

To build a supervised machine learning-based classifier, which can accurately predict whether Tai Chi practitioners may experience knee pain after years of exercise.

Design

A prospective approach was used. Data were collected using face-to-face through a self-designed questionnaire.

Setting

Single centre in Shanghai, China.

Participants

A total of 1750 Tai Chi practitioners with a course of Tai Chi exercise over 5 years were randomly selected.

Measures

All participants were measured by a questionnaire survey including personal information, Tai Chi exercise pattern and Irrgang Knee Outcome Survey Activities of Daily Living Scale. The validity of the questionnaire was analysed by logical analysis and test, and the reliability of this questionnair

SUBMITTER: Xing H 

PROVIDER: S-EPMC10394559 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature