Adherence to a community-based exercise program is a strong predictor of improved back pain status in older adults: an observational study

一项观察性研究表明,坚持参与社区锻炼计划是老年人背痛状况改善的强有力预测因素。

阅读:1

Abstract

OBJECTIVES: To identify factors that were predictive of improved pain status among older adults with chronic back pain participating in the Adaptive Physical Activity (APA) program and to identify factors that were predictive of adherence to APA. METHODS: An observational cohort study of 392 older adults (ages 50 to 88) with chronic back pain participating in APA for 12 months. APA was a community-based group exercise program given for 1-hour, twice weekly, in local gyms. Primary outcome measures were improved pain based on a global rating of change evaluation and adherence to the APA program (defined as participation in >75% of exercise sessions). Potential predictor variables were entered into multivariate logistic regression models to determine the most accurate set of variables for predicting improved pain and adherence. RESULTS: Presence of depressive symptoms, poor self-rated health and adherence to APA were the best predictors of improved pain status, with adherence being the strongest predictor [odds ratio: 13.88 (95% confidence interval: 8.17, 23.59)]. Better physical function, longer pain duration, and positive rating of the trainer were all positively associated with adherence to APA; whereas poor self-rated health and further distance from the gym were inversely associated. CONCLUSIONS: Given that adherence to APA is the key predictor of improved back pain, future efforts should focus on strategies to improve adherence. Our data suggest that enhanced training of exercise trainers, development of separate classes for people with different functional levels, and use of psychosocial interventions to reduce health pessimism and depression may be potential targets for improving adherence.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。