| Literature DB >> 32252441 |
Fabian M Troschel1, Christian Ramroth2, Lars Lemcke2, Jens Clasing3, Amelie S Troschel2, Martin Dugas4, Walter Stummer2, Rainer Wiewrodt5, Ralf Brandt2,6, Dorothee Wiewrodt2.
Abstract
A brain tumor diagnosis poses a significant psychological burden and it severely impacts quality of life (QOL), both in patients and relatives. However, comprehensive strategies addressing QOL in this setting remain rare. Here, we aim to share our findings of a one-week ski exercise intervention, with emphasis on feasibility, safety, QOL, and physical exercise. The intervention consisted of week-long daily ski sessions with professional ski guides as well as dedicated physicians present. The participants were handed questionnaires, including distress and QOL items before, during, and after the intervention. Using fitness watches, exercise intensity was also tracked at these timepoints. During the intervention, patients were checked for adverse events daily. Fifteen participants, nine patients after multidisciplinary treatment, and six relatives were included in the study. Additionally, 13 children participated in the exercise, but not in the study. All of the participants completed the entire program. No severe adverse events were documented during daily checks. There was a strong increase in quantified activity and QOL with a corresponding decrease in distress during the intervention, and, partly, afterwards. This prospective brain tumor rehabilitation study demonstrates the feasibility and safety of challenging ski exercise in brain tumor patients. The findings also underline the exercise-mediated QOL benefits, emphasizing the need for more comprehensive brain tumor rehabilitation programs.Entities:
Keywords: brain neoplasms; caregivers; depression; exercise; feasibility study; glioblastoma multiforme; glioma; psycho-oncology; quality of life; rehabilitation
Year: 2020 PMID: 32252441 PMCID: PMC7231125 DOI: 10.3390/jcm9041006
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241
Figure 1Consort diagram with inclusion and exclusion criteria.
Figure 2Sequence of events for this study, visualized using a flow chart.
Patient characteristics.
| Characteristic | Patients ( | Relatives ( |
|---|---|---|
| General patient characteristics | ||
| Age (years) | 47 (29–77) | 49 (39–67) |
| Gender | ||
| Male | 5 | 3 |
| Female | 4 | 3 |
| Weight (kg) | 80 (56–100) | 79 (61–90) |
| Height (cm) | 176 (171–192) | 175.5 (167–185) |
| BMI (kg/m2) | 24.3 (18.9–32.3) | 24.5 (20.4–28.4) |
| Patient diagnosis, therapy and treatment | ||
| Diagnosis | ||
| Multilocular meningioma grade I | 1 | |
| Oligodendroglioma grade II | 1 | |
| Astrocytoma grade II | 3 | |
| Astrocytoma grade III | 1 | |
| Glioblastoma grade IV | 3 | |
| Clinical symptoms at time of diagnosis | ||
| Epileptic seizures | 2 | |
| Cephalgia | 2 | |
| Visual impairment | 2 | |
| Speech impairment | 3 | |
| Prior surgical therapy | ||
| Tumor resection | 9 | |
| Re-resection | 5 | |
| Re-re-resection | 1 | |
| Prior radiotherapy | ||
| Adjuvant radiation | 7 | |
| 54 Gy w/o chemotherapy | 1 | |
| 54 Gy with temozolomide | 2 | |
| 59.4 Gy with temozolomide | 4 | |
| No radiation | 2 | |
| Prior chemotherapy | ||
| Temozolomide | 6 | |
| CCNU (Lomustine) | 2 | |
| Procarbazine, CCNU & vincristine (PCV) | 1 | |
| Tumor-treating fields | 1 | |
| Photodynamic therapy * | 1 | |
| Under ongoing therapy | ||
| Temozolomide | 2 | |
| Tumor-treating fields | 1 | |
| Social status and prior exercise | ||
| Marital status | ||
| Married | 7 | 5 |
| Single | 1 | 0 |
| In a relationship | 1 | 1 |
| Exercise frequency | ||
| Infrequent | 3 | 2 |
| Sometimes | 2 | 3 |
| Often | 4 | 1 |
| Prior skiing experience | ||
| No prior experience | 2 | 1 |
| Some experience, no proficiency | 3 | 1 |
| Some proficiency | 3 | 4 |
| Proficiency | 1 | 0 |
* individual curative trial. BMI = body mass index; CCNU = 1-(2-chloroethyl)-3-cyclohexyl-1-nitrosourea.
Figure 3Fitness data as quantified by a fitness watch. Inclusion criteria for this analysis included wearing the fitness watch at least 60 h over a four-day period the week before, during and after the intervention. The data is presented relative to pre-intervention levels. (A): Hours defined as active by the fitness watch during respective timeframes. (B): Kcal burned during respective timeframes. For all figures, the mean results are given for all participants as well as separately for patients and relatives. To demonstrate variability, standard deviation bars are given for “all participants”.
Figure 4Quality of life measures according to participants’ questionnaires. (A,B): Self-reported health and quality of life on a scale from 1 to 7 from worst to best. (C)World Health Organization-5 (WHO-5) scale from 0% (worst) to 100% (best). (D): Allgemeine Selbstwirksamkeit Kurzskala (ASKU) item trust in own abilities, from 1 (worst) to 5 (best). For all figures, mean results are given for all participants as well as separately for patients and relatives. To demonstrate variability, standard deviation bars are given for “all participants”.
Figure 5Anxiety, depression, distress and physical problems according to participants’ questionnaires. (A): Anxiety, as measured by the Hospital Anxiety and Depression Scale (HADS) questionnaire (HADS-A) scale as a measure of anxiety, ranging from 0 (best) to 21 (worst). (B): Depression, as measured by the HADS questionnaire (HADS-D) scale as a measure of depression, ranging from 0 (best) to 21 (worst). (C): Distress, as measured by the distress thermometer, ranging von 0 (least) to 10 (most). (D): Physical problems as a sum of 20 items with patients indicating if they found each physical task challenging (1) or not challenging (0), with the scale thus ranging from 0 (best) to 20 (worst). For all figures, mean results are given for all participants as well as separately for patients and relatives. To demonstrate variability, standard deviation bars are given for all participants.