1. Physical Behavior Profiles in Chronic Cancer-Related Fatigue
- Author
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Wolvers, M. D.J., Bussmann, J. B.J., Bruggeman-Everts, Fieke Z, Boerema, S. T., van de Schoot, R., Vollenbroek-Hutten, M. M.R., Leerstoel Hoijtink, Methodology and statistics for the behavioural and social sciences, Leerstoel Hoijtink, Methodology and statistics for the behavioural and social sciences, and Rehabilitation Medicine
- Subjects
Adult ,Male ,medicine.medical_specialty ,Psychological intervention ,Treatment goals ,Article ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Physical medicine and rehabilitation ,Randomized controlled trial ,Cancer Survivors ,SDG 3 - Good Health and Well-being ,law ,Neoplasms ,Covariate ,Accelerometry ,Medicine ,Humans ,Latent profiles analysis ,030212 general & internal medicine ,Cancer-related fatigue ,Exercise ,Fatigue ,Applied Psychology ,Aged ,Netherlands ,Cancer ,business.industry ,Baseline data ,Middle Aged ,Physical activity level ,Health psychology ,Oncology ,030220 oncology & carcinogenesis ,Female ,medicine.symptom ,Sedentary Behavior ,business ,Physical behavior - Abstract
Purpose Increasing physical activity level is a generally effective intervention goal for patients who suffer from chronic cancer-related fatigue (CCRF). However, patients are unlikely to benefit equally from these interventions, as their behavioral starting points might vary substantially. Therefore, we explored patterns of physical behavior of participants who suffer from CCRF. Methods Baseline data of a randomized controlled trial were used for a latent profile analysis on nine accelerometer-derived physical behavior measures, describing levels and patterns of physical activity, moderate-to-vigorous intensity physical activity (MVPA), and sedentary behavior. The relation between participant characteristics and the latent profiles was analyzed. Results Accelerometer data of 172 participants from the Netherlands was analyzed. Three latent profiles were distinguished that differed most on physical activity level and total time spent in MVPA. Eighty-eight percent of all participants were assigned to a profile with a probability higher than 8. Age and perceiving limitations by comorbid conditions and pain were significant covariates of profile membership. Conclusions We distinguished three physical behavior profiles. The differences between the patterns indicate that the heterogeneity of this sample requires patients to have substantially different treatment goals. Further research should test the applicability of these profiles in clinical practice. Electronic supplementary material The online version of this article (doi:10.1007/s12529-017-9670-3) contains supplementary material, which is available to authorized users.
- Published
- 2018
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