PHYSICAL ACTIVITY AND SEDENTARY BEHAVIOUR CHANGES DURING AND AFTER CARDIAC REHABILITATION: CAN PATIENTS BE CLUSTERED?

被引:1
作者
Limpens, Marlou M. [1 ]
Van Den Berg, Rita J. G. [2 ]
Den Uijl, Iris [2 ,3 ]
Sunamura, Madoka [3 ]
Voortman, Trudy [1 ,4 ]
Boersma, Eric [5 ]
Ter Hoeve, Nienke [2 ,3 ,6 ]
机构
[1] Dept Epidemiol, Rotterdam, Netherlands
[2] Dept Rehabil Med, Rotterdam, Netherlands
[3] Capri Cardiac Rehabil, Rotterdam, Netherlands
[4] Wageningen Univ & Res, Div Human Nutr & Hlth, Wageningen, Netherlands
[5] Univ Med Ctr Rotterdam, Erasmus MC, Dept Cardiol, Thoraxctr, Rotterdam, Netherlands
[6] Univ Med Rotterdam, Erasmus MC, Dept Rehabil Med, POB 2040, NL-3000 CA Rotterdam, Netherlands
基金
欧盟地平线“2020”;
关键词
acute coronary syndrome; sedentary behaviour; physical activity; step count; cardiac rehabilitation; latent class trajectory models; FATIGUE SEVERITY SCALE; CONTROLLED-TRIAL; VALIDATION; NUTRITION; VALIDITY;
D O I
10.2340/jrm.v55.4343
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
Objective: To identify clusters of patients according to changes in their physical behaviour during and after cardiac rehabilitation, and to predict cluster membership. Methods: The study included 533 patients (mean age 57.9 years; 18.2% females) with a recent acute coronary syndrome who participated in a 12-week multi-disciplinary cardiac rehabilitation programme, within a cohort study design. Physical behaviour (light physical activity, moderate-to vigorous physical activity, step count, and sedentary behaviour) was measured using accelerometry at 4 timepoints. To identify clusters of patients according to changes in physical behaviour during and after cardiac rehabilitation, latent class trajectory modelling was applied. Baseline factors to predict cluster membership were assessed using multinomial logistic regression. Results: During and after cardiac rehabilitation, 3 separate clusters were identified for all 4 physical behaviour outcomes: patients with steady levels (comprising 68-83% of the patients), and improving (6-21%) or deteriorating (4-23%) levels. Main predictor for membership to a specific cluster was baseline physical behaviour. Patients with higher starting physical behaviour were more likely to be a member of clusters with deteriorating levels. Conclusion: Separate clusters of physical behaviour changes during and after cardiac rehabilitation could be identified. Clusters were mainly distinguished by baseline physical behaviour level.
引用
收藏
页数:10
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