Prediction factors of dual-task gait function improvement through short-term aerobic training in patients with Parkinson's disease
10.3969/j.issn.1006-9771.2026.06.008
- VernacularTitle:短期有氧训练改善帕金森病患者双任务步态功能的预测因素分析
- Author:
Yang JIAO
1
;
Xinru HU
1
;
Weijia HOU
1
;
Yue WANG
1
;
Jin WANG
2
;
Yang YU
1
;
Zhizhong ZHU
1
;
Ying DONG
3
Author Information
1. Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Tianjin 300350, China
2. Department of Neurology, Tianjin Huanhu Hospital, Tianjin 300350, China
3. Department of Rehabilitation Information Research, China Rehabilitation Science Institute, Beijing 100068, China
- Publication Type:Journal Article
- Keywords:
Parkinson's disease;
short-term aerobic training;
response;
regression model;
dual-task gait
- From:
Chinese Journal of Rehabilitation Theory and Practice
2026;32(6):699-707
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo construct a prediction model for high responsiveness to short-term aerobic training in patients with Parkinson's disease (PD) based on dual-task gait assessment, and to provide evidence for identifying individuals who are most likely to benefit from such interventions. MethodsA total of 42 patients with PD who visited the outpatient clinic of Tianjin Huanhu Hospital between August 29, 2023 and December 19, 2024 were enrolled. All participants completed a 4-week home-based aerobic cycling training program and underwent dual-task gait assessments pre- and post-training. Patients were classified into high-response group (n = 12) and low-response group (n = 30) according to whether the improvement in gait speed reached the minimal clinically important difference of 0.1 m/s. The clinical validity of this grouping was verified by comparing differences in cardiopulmonary exercise testing parameters and dual-task gait indicators between the two groups pre- and post-training. Based on baseline characteristics, Firth's penalized maximum likelihood logistic regression was applied to construct a predictive model for high responsiveness, and the discriminative performance of the model was assessed preliminarily. ResultsThe high-response group showed significantly greater improvement in gait speed, step length, cadence and the anaerobic threshold to maximal oxygen uptake ratio after training compared with the low-response group (P < 0.05), confirming the clinical validity of the grouping. The baseline anaerobic threshold to maximal oxygen uptake ratio (OR = 3.348), body mass index (OR = 2.229) and age (OR = 0.428) demonstrated certain discriminative ability in the present sample. The area under the receiver operating characteristic curve was 0.831, with an overall prediction accuracy of 81.0%, specificity of 83.3% and sensitivity of 75.0%. Robustness of the model was confirmed via internal validation using the Bootstrap method, which suggested that the results were informative, but further validation was still required. ConclusionThe anaerobic threshold/maximal oxygen uptake ratio, body mass index and age may predict the response to short-term aerobic training in patients with PD.
