I10
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: Adults capable of taking decisions with diagnosed arterial hypertonia, stable blood pressure medication, longterm known medical history and 24h blood pressure mesurement not older than two years.
Exclusion criteria
Exclusion criteria: - Cushing’s syndrome, Conn’s syndrome, renal artery stenosis - diseases affecting the cardiovascular regulation: thyroid dysfunction, coronary heart diseases, diabetes mellitus - Obesity (body mass index >30)
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The primary outcome is a decreased blood pressure after the art therapy intervention (RRafter vs. RRbefore). The immediate effects (after therapy vs. before therapy) as well as the medium term improvement of blood pressure will be evaluated (changes between each art therapy session). The long term changes of the inner state will be determined by evaluating the questionnaires (HSI, Heidelberger State Inventoy, Koch, Morlinghaus & Fuchs 2007) at the beginning, in the end of the therapy phase and during the follow up. | — |
Secondary
| Measure | Time frame |
|---|---|
| The secondary outcome will be the evaluation of the standard parameters of heart rate variability during three 5-minute-periods (respectively the central 5 minutes before, during and after the art therapy) according to the HRV standards (Task Force of the European Society of Cardiology and The North American Society of Pacing and Electrophysiology 1996): - The mean RR-interval in milliseconds - The standard deviation of the normal-to-normal heartbeats (SDNN) in milliseconds - The square root of the mean squared NN-differences (RMSSD) in milliseconds - The high frequency component (HF) of spectral analysis (0.15 to 0.4 Hz corresponding 9 to 24 oscillations per minute) - Low frequency component (LF) of the spectral analysis (0.04 to 0.15 Hz corresponding to 2.4 to 9 oscillations per minute) The mentioned HRV parameters will be determined for all subsequent 5-minute intervals during nighttime sleep and subsequently averaged. The ability of recovery can be assessed with this method. The decline of the LF-component or the increase of the HF-component of HRV should be considered as an improvement of the cardiac autonomic regulation. The mentioned changes may be interpreted as a reduction of stress (assessed by a decrease of the LF component). The change of these two components should go along with the alteration of SDNN and RMSSD. Moreover, the physiological sleep quality can be determined from the cardiopulmonary coupling from the overnight ECG (Thomas et al. 2005). Therefore the classification of stable and instable sleep phases by means of the detecion of the high frequency components (stable sleep) and the low frequency components (instable sleep) of cardiopulmonary coupling will be used. An increased physiologic sleep quality and therefore a better ability of recovery of the organism should lead to less phases of instable sleep and more stable sleep phases. | — |
Countries
Germany
Contacts
Institut für künstlerische therapien und Therapiewissenschaft