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DOI: 10.1055/s-0033-1347178
No Benefit Adding Eleutherococcus senticosus to Stress Management Training in Stress-Related Fatigue/Weakness, Impaired Work or Concentration, A Randomized Controlled Study
Correspondence
Publication History
received 01 December 2012
revised 07 April 2013
accepted 24 April 2013
Publication Date:
05 June 2013 (online)
Abstract
Introduction:
Plant adaptogens are traditionally used for stress-related symptoms, but clinical evidence is inconsistent. This trial explored the effects of 120 mg/day Eleutherococcus senticosus root extract (ES), 2-day professional stress management training (SMT) and a combination of both (COM).
Methods:
144 participants suffering from asthenia and reduced working capacity related to chronic stress were randomized to the treatments. Validated scales and tests were used to investigate cognitive performance; feeling stressed; fatigue and exhaustion; alertness, restlessness and mood; quality of life and sleep; physical complaints and activities; and physiological stress parameters including cortisol awakening response (CAR), at baseline, after 2 and 8 weeks of treatment (German Clinical Trials Register DRKS00000692).
Results:
Almost all parameters improved significantly over time without group differences. Significant differences were found in mental fatigue and restlessness, both in favor of COM vs. ES. COM was not superior to SMT in any parameter at week 8. An attenuation of the CAR was seen at week 2 without group differences. All treatments were well tolerated.
Discussion:
Effects of adding ES to SMT are, if any, negligible.
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Key words
adaptogens - Siberian ginseng - Eleutherococcus - asthenia - stress - RCT - fatigue - concentrationIntroduction
Strategies in chronic stress management include physical activity, cognitive training as well as psychological techniques for relaxation, concentration and self-organization, such as yoga, autogenic training, muscle relaxation, or biofeedback [1] [2] [3] [4] [5]. Relaxing and strengthening effects are also attributed to some plants like ginseng (Panax ginseng), Siberian ginseng (Eleutherococcus senticosus), roseroot (Rhodiola rosea) and Chinese magnolia vine (Schisandra chinensis) for which the term “adaptogens” has been suggested. Plant adaptogens have been conceptualized as herbal preparations which increase the ability of an organism to adapt to a wide variety of biological, chemical and physical environmental stressors and to avoid damage from such factors [6]; they are thought to be non-toxic, non-specific in their pharmacological action, to exert a normalizing effect on various organ systems the more pronounced as the deeper are the pathological changes in the organism [7]. In contrast to stimulants, adaptogens should cause an increase in working capacity and physical endurance which is not followed by a counter-regulating decrease, and other than in tonics their application is not restricted to conditions of asthenia. Numerous studies have investigated the effect of adaptogens on humans under extreme environmental conditions like high altitudes, arctic and tropic temperatures, submarines, long distance flights and in top-level sports [8]. Enhancement of basic cognitive, memory and sensory functions in acute and long-term studies, mitigation of chronic fatigue and immune-stimulating properties have been reported. Influences on the hypothalamic-pituitary-adrenal (HPA) axis and on mediators of stress response such as molecular chaperons are discussed as underlying mechanisms [9].
Ethanolic Eleutherococcus senticosus root extract (ES) is one of the most widely used and extensively investigated adaptogens. Although numerous studies with over 6 000 participants have been performed on ES since the 1960 s and the reports were generally positive, the assessment report of the EMA Herbal Medicinal Products Committee (HMPC) in 2008 concluded that “none of the studies would be sufficient to substantiate efficacy of ES preparations in a clearly defined clinical condition, although, in total, the data available are sufficient to justify further research into the concept of adaptogens”. This is due to the fact that these studies have been conducted in a very wide range of clinical conditions with various instruments and for different efficacy parameters over a long period of time. Most studies do not meet modern clinical trial standards of Good Clinical Practice (GCP). Therefore the present investigation was designed to explore effects of taking the popular adaptogen ES in addition to non-pharmacological measures on a variety of cognitive, psychological and physiological parameters in a well-defined population of trial participants subjectively bothered by chronic stress, by applying validated test instruments in a modern GCP setting.
Since non-specific effects (e. g., regression to the mean) were expected to occur in this population, a randomized 3-arm study design was chosen comparing ES with a well-conducted professional stress management training (SMT) and a combination (COM) of both treatments. Effects of regularly taking ES would emerge from the comparison of COM with SMT, effects of SMT from the comparison of COM with ES, and additive or synergistic effects from the comparison of all 3 trial arms. As we were primarily interested in the clinical benefit of the treatment strategy “adding regular intake of ES”, i. e., the sum of the unspecific benefit associated with the regular intake of a promising drug and pure pharmacological effects, we did not select a placebo control.
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Methods
This multicentric, phase IV study was designed as a prospective, exploratory, open, controlled, randomized 3-arm parallel group comparison of 3 treatment schedules: (i) participation in a 2-day structured stress management group seminar (SMT); (ii) participation in the stress management seminar plus oral treatment with ES capsules (COM); (iii) oral treatment with ES capsules only (ES).
The study was conducted in compliance with the declaration of Helsinki, ICH-GCP, applicable laws and regulations. The protocol, informed consent documents and subject allowance were approved by the competent federal authority (Bundesinstitut für Arzneimittel und Medizinprodukte, BfArM) and given a favourable opinion by the independent ethics committee of the Bavarian Medical Association (German Clinical Trials Register DRKS00000692, EudraCT 2010-022114-12), as applicable. The study was performed at 6 urban professional clinical trial outpatient units in Germany between January and July 2011.
Participants
Female and male, 30–50 year-old participants without somatic or psychiatric diagnoses requiring treatment or further medical examination, as confirmed by a board certified specialist after screening procedures, were recruited via newspaper advertisements or selected from a data pool kept by the research institutes. Specific inclusion criteria were: symptoms of asthenia such as fatigue or weakness indicated by a score >6 in at least one Multidimensional Fatigue Inventory (MFI-20 [10]) subscale, decline in working capacity and power of concentration with a score >8 in the subscale performance of the Change-sensitive Symptom List (ASS-SYM [11]), exposure to chronic occupational and/or social stress with scores >60 in at least 2 subscales of the “Trier Inventory for Chronic Stress” (TICS [12]). Subjects who had suffered from serious or acute systemic disease within 4 weeks, or had experienced an acute or chronic psychiatric (DSM IV axis I) or neurological disease or psychotherapy within 12 months prior to screening were not included. Concomitant medication with psychotropic drugs, hypnotics, anti-epileptics, Parkinson disease drugs, anaesthetics, muscle relaxants, centrally active analgesics/hypotensives/ antihistamines/antiemetics, cardiac glycosides, vitamin B preparations, phytomedicines or food supplements was not allowed. Participants with clinically relevant findings in ECG or laboratory parameters, insulin dependent diabetes mellitus, hypertension, internal diseases or conditions prohibiting participation in progressive muscle relaxation were not included.
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Study procedures and interventions
Participants had to attend a screening visit (V1) to receive information about the study and give written informed consent, and for medical history, physical examination, documentation of demographic data, vital signs, ECG, safety laboratory, concomitant medication and check of in- and exclusion criteria (including questionnaires ASS-SYM, TICS, MFI-20 and Beck Depression Inventory BDI-II [13]). 3–28 days later visit 2 (V2) was scheduled when baseline safety and efficacy data were recorded and the trial participants were randomized 1:1:1 to either of the 3 treatment groups. Within 1–7 days from V2, participants allocated to SMT or COM had to attend a study specific 2-day structured stress-management group training, conducted by 4 experienced professional trainers based on a detailed manual, which included, e. g., education, cognitive stress management strategies, progressive muscle relaxation according to Jacobson and individualized strategies for future optimization of competences, resources and techniques to cope with stress (Wiblishauser Seminare, Haar, Germany). Before trial initiation trainers attended a study specific 1-day training with the manual author to familiarize with the manual and agree onto uniform conduct of the trainings. Treatment group COM (in addition to the anti-stress training) and group ES received 120 mg dry extract WS® 1070 (1 capsule) daily of Siberian ginseng root (Eleutherococci Radix), drug:extract ratio 16–25:1, extraction solvent 30% [v/v] ethanol, for 8 weeks. WS® 1070 was provided by the sponsor and funding source of the trial, Dr. Willmar Schwabe GmbH & Co. KG, Karlsruhe, Germany. On visits 3 (day 12–16) and 4 (day 53–59) efficacy data, adverse events were recorded, saliva samples were collected, unused study medication was taken back and counted or new medication issued.
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Objectives
Objectives of the study were to explore potential synergies between taking ES and structured SMT with respect to efficacy, and to assess safety and tolerability of ES alone or in combination with SMT in subjects with impaired working performance, concentration capability, fatigue and weakness patterns, and subjectively experiencing high stress levels.
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Outcomes
Since this was an exploratory study, no distinction of primary and secondary efficacy parameters was made. The following areas were investigated using standardized and validated tests or scales:·
Cognitive performance:
Memory was tested with the Visual and Verbal Retention Test (VVM [14]) including memorization of visual (path on a town map) and verbal (house construction details) information, both with immediate and delayed (1–2 h) recall. Attention was determined with the computerized Attention Test Battery (TAP [15] [16]) including the following tasks on working memory, divided attention (simultaneous visual and acoustic signals) and Go/NoGo (inhibition of fast reactions to critical visual signals), incompatibility (divergent stimulus information has to be processed in parallel in a conflict situation), and visual scanning (a critical stimulus must be detected in a matrix). Concentration problems were assessed by a questionnaire (KiA, [17]) comprising 100 questions on “concentration in everyday life”.·
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Feeling stressed:
The subjective feeling of stress was documented with the TICS comprising 57 items in 9 subscales: work overload, excessive social stress, pressure to succeed, dissatisfaction with work, excessive professional demands, lack of social recognition, social tension, social isolation, and continued concern. Functional impairment in work, social and family life was documented with the Sheehan Disability Scale (SDS [18]), a brief self-rating tool using a (100 mm) visual analog scale and asking for the number of lost and unproductive days.·
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Fatigue and exhaustion:
Fatigue was assessed with the MFI-20, a 20-item self-report instrument covering the following dimensions: general fatigue, physical fatigue, mental fatigue, reduced motivation, and reduced activity. Exhaustion was rated using the subscale “exhaustion” of the ASS-SYM which determines changes in areas of problems and complaints responding to relaxation methods like autogenic training or progressive muscle relation.·
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Alertness, restlessness, mood:
The Multidimensional Mood State Questionnaire (German version: MBDF [19]) uses 24 Likert scales to differentiate good/bad mood, alertness/fatigue and calmness/restlessness. In addition, tension and self-determination were assessed with the respective subscales of the ASS-SYM [11].·
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Depressive mood:
Depressive symptoms were recorded with the BDI-II, rating 21 mental and somatic items.·
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Quality of life:
The WHO-5 index [20] assesses well-being at the actual time by asking for the quality of mood, calmness, activity, sleep and interest within the last 2 weeks.
Sleep quality was determined with the Leeds Sleep Evaluation Questionnaire (LSEQ [21]), comprising 10 visual analog scales referring to getting to sleep, quality of sleep, awake following sleep and behaviour following wakening.·
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Physical complaints and activities:
Physical complaints were recorded with the ASS-SYM [11] subscales “dysregulation” and “burden of pain”. The Freiburg Questionnaire on Physical Activity (FFKA [22]) comprises 10 questions regarding time spent with different physical activities (basic activity, leisure activities, and sports).
All tests were performed at V2 (baseline) and V4 (week 8), and all except KiA, TICS and FFKA also on V3 (week 2).·
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Physiological stress parameters:
Heart rate variability (HRV [23]) during neuropsychological testing (TAP) was defined as mean square of differences in consecutive interbeat intervals from ECG. Electrodermal activity (EDA) was recorded during TAP with 2 electrodes with 0.5 volt applied to the palm of the non-dominant hand. Electrodermal reactions were defined as changes ≥0.02 µS. The following parameters were evaluated: mean dermal conductibility, frequency of electrodermal responses per min, and accumulated amplitude of spontaneous electrodermal responses over the test period [24]. Salivary cortisol concentration [25] [26] [27] was determined at 2 consecutive working days preceding each of the visits 2, 3, and 4. Subjects were instructed by investigators to sample salivary probes at the times indicated and to write the actual sampling time on the respective tube. Analysis of samples was conducted by a specialized certified lab, running internal standards with every measurement and participating in regular interlaboratory comparisons. 2 time profiles were measured: awakening profile immediately after waking up and after 30 and 45 min; the diurnal profile at 9 a.m., 3 p.m. and 9 p.m. The cortisol awakening response was calculated as difference between measurements at 30 min and awakening, the diurnal change as difference between 3 p.m. and 9 a.m.·
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Treatment satisfaction:
At V3 and V4, participants should indicate (on Likert scales) their satisfaction with efficacy and safety of their treatments and their willingness to continue.
Investigators and site staff received a 1-day training on questionnaire administration and scoring, TAP application, and physiological measurements, conducted by 2 of the authors (OW, MB), the manufacturer of the HRV/EDA device, and a cortisol lab representative.
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Sample size calculation and allocation procedure
Comparable investigations found pharmacological effects on stress-induced complaints in collectives of 30–40 trial participants per group [28] [29] [30]. For a sample of 105 evaluable subjects with 3 interventional groups and 3 assessment time points, 2-factorial ANOVA can detect effect sizes of 0.5 standard deviations with a power of 90%. Taking into account a 20% drop-out rate and 5 planned sites, 135 participants were planned to be included.
On visit 2 each participant was entered into a validated web-based randomization system (MARVIN, Xclinical, Munich, Germany) by trained study site personnel. Based on a random list generated with the program Rancode Professional 3.6 (idv, Gauting, Germany) by an independent biometrician not involved in any other study-related activities, the system allocated the patient to a treatment group. Participants were randomized by site in blocks of 3, according to a pre-specified written randomization plan. Investigators were unaware of the fact of randomization by site, the block size and the randomization plan throughout the trial.
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Statistical evaluation
Because selective drop-out was expected between groups, missing values were replaced by multiple imputation. For multiple imputation, the parameters of the multivariate normal distribution of the respective endpoint were estimated by the expectation-maximization-algorithm with the NORM package for the statistics software R, based on the available data from the total study sample (not the respective treatment group). A missing value was randomly imputed, where the imputation was based on the estimated parameters and the observed values of the respective multivariate observation. This was repeated 5 times to generate 5 datasets for each variable. Efficacy analyses were conducted on each of these datasets and results were averaged. All efficacy parameters were evaluated for the intention-to-treat (ITT) analysis sets. The ITT population was defined as all participants having received at least one treatment with at least one post-baseline efficacy evaluation. Participants from group COM were only included into the ITT population if they had received both, ES and SMT. Because of the multiple imputation procedure, the number of subjects for whom at least one post-baseline efficacy evaluation was available or could be imputed differed slightly between endpoints. Therefore the ITT analysis sets were defined separately for each endpoint. Data were evaluated with descriptive methods. A significant treatment effect was defined as a group×visit interaction in 2-factorial analysis of variance for repeated measurements (ANOVA) with a p-value <0.05. In this case, effects were further analyzed by 1- (group) and 3- (group, visit, gender) factorial ANOVAs and by post-hoc unpaired t-tests with Welsh approximation. As this was an exploratory trial, no primary endpoint was selected and no correction for multiplicity of testing was applied. Therefore, reported p-values are descriptive. The numbers of adverse events were evaluated for the safety analysis set, i. e., all participants randomized that received treatment at least once. Statistical analysis was conducted with SPSS Statistics 18 and R software package, version 2.13.1.
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Results
Study population
200 subjects were screened and 144 were allocated in randomized order to the 3 treatments groups ([Fig. 1]). Out of 48 participants allocated to group SMT, 7 did not and 1 person did only partially participate in the stress management seminar, so finally 40 were included in the efficacy analysis. Missing the seminar was also the only reason for exclusion from efficacy analysis in group COM (6 of 47), and 1 subject in group ES terminated early because of adverse events (dyspepsia and flatulence, probably not treatment-related). Stress management training was conducted in 15 2-day sessions with 3–9 participants/session.


Participants were Caucasians, exceptions being 1 Asian and 1 African person both in group COM. There were more women than men in this study (56.9% vs. 43.1%); the highest percentage of women was seen in group SMT (63.4%; group COM: 53.2%; group ES: 55.1%). Mean age was 41.2 ± 5.9 years (30–50) without significant differences between groups (group means 41.9/ 41.7/ 40.0 years).
[Table 1] [2] [3] give an account of the baseline (V2) and 8 weeks (V4) data in the 3 treatment groups. Assessments on the WHO-5 well-being scale (mean score: 9.4) and the Beck Depression Inventory (BDI, 16.0) indicate that subjects were, on average, impaired in their well-being but not to a degree requiring medical treatment. Mean salivary cortisol concentrations were within the normal range [31] at 14–21 nmol/L in the morning and an increase by 6.25 nmol/L 30 min after awakening ([Fig. 2]).


Parameter |
Group |
Baseline |
8 weeks |
|||||
---|---|---|---|---|---|---|---|---|
Cognitive performance |
Mean |
±SD |
Mean |
±SD |
Mean change |
|||
visual: path in town map |
immediate recall |
1: SMT |
19.4 |
5.7 |
23.2 |
4.6 |
3.8 |
|
2: COM |
22.5 |
5.4 |
25.0 |
5.2 |
2.5 |
|||
3: ES |
19.9 |
6.5 |
24.8 |
4.9 |
4.9 |
|||
delayed recall, loss of retain [%] |
1: SMT |
1.4 |
24.9 |
−3.4 |
15.1 |
−4.8 |
||
2: COM |
−6.1 |
29.0 |
−4.7 |
17.3 |
1.4 |
|||
3: ES |
2.0 |
30.1 |
−7.4 |
15.7 |
−9.4 |
|||
verbal: house construction data |
immediate recall |
1: SMT |
11.9 |
4.4 |
15.7 |
4.8 |
3.8 |
|
2: COM |
13.2 |
4.7 |
17.7 |
3.8 |
4.5 |
|||
3: ES |
11.7 |
5.2 |
16. 7 |
4.4 |
5.0 |
|||
delayed recall, loss of retain [%] |
1: SMT |
−1.4 |
30.7 |
−3.4 |
17.4 |
−2.0 |
||
2: COM |
8.5 |
37.0 |
−2.8 |
13.4 |
−11.3 |
|||
3: ES |
12.9 |
69.2 |
−4.5 |
22.8 |
−17.4 |
|||
working memory |
correct answers |
1: SMT |
12.1 |
3.0 |
12.3 |
2.8 |
0.2 |
|
2: COM |
12.7 |
2.3 |
13.6 |
2.4 |
0.9 |
|||
3: ES |
12.6 |
2.2 |
12.8 |
2.5 |
0.2 |
|||
reaction time [ms] |
1: SMT |
657.1 |
174.8 |
630.9 |
183.1 |
−26.2 |
||
2: COM |
658.1 |
191.4 |
625.3 |
141.5 |
−32.8 |
|||
3: ES |
649.9 |
162.9 |
593.7 |
155.6 |
−56.2 |
|||
divided attention |
correct answers |
1: SMT |
31.5 |
1.1 |
31.4 |
1.6 |
−0.1 |
|
2: COM |
31.2 |
2.8 |
31.9 |
1.7 |
0.7 |
|||
3: ES |
30.7 |
3.1 |
30.9 |
3.5 |
0.2 |
|||
reaction time audit. [ms] |
1: SMT |
612.4 |
105.2 |
601.4 |
91.3 |
−11.0 |
||
2: COM |
621.3 |
98.5 |
614.9 |
91.7 |
−6.4 |
|||
3: ES |
615.0 |
100.6 |
590.9 |
103.7 |
−24.1 |
|||
reaction time visual [ms] |
1: SMT |
813.7 |
119.7 |
787.9 |
86.7 |
−25.8 |
||
2: COM |
819.3 |
185.1 |
764.6 |
85.3 |
−54.7 |
|||
3: ES |
785.5 |
126.7 |
770.2 |
191.9 |
−15.3 |
|||
go/NoGo |
correct answers |
1: SMT |
23.9 |
0.4 |
23.9 |
0.4 |
0.0 |
|
2: COM |
23.9 |
0.4 |
24.0 |
0.2 |
0.1 |
|||
3: ES |
23.7 |
1.4 |
23.9 |
0.2 |
0.2 |
|||
reaction time [ms] |
1: SMT |
580.5 |
77.2 |
579.3 |
82.9 |
−1.2 |
||
2: COM |
561.9 |
67.3 |
569.1 |
78.8 |
7.2 |
|||
3: ES |
573.2 |
89.1 |
576.7 |
71.9 |
3.5 |
|||
incompatibilty |
incompatible/compatible errors |
1: SMT |
1.49 |
1.07 |
0.17 |
0.29 |
−1.3 |
|
2: COM |
0.00 |
0.00 |
1.16 |
0.00 |
1.2 |
|||
3: ES |
1.33 |
0.94 |
0.00 |
0.00 |
−1.3 |
|||
interactionvisual field/ hand |
1: SMT |
9.5 |
10.3 |
9.7 |
11.1 |
0.2 |
||
2: COM |
11.4 |
13.7 |
11.8 |
11.2 |
0.4 |
|||
3: ES |
11.6 |
12.5 |
10.4 |
11.8 |
−1.2 |
|||
median search time [ms] |
1: SMT |
540.9 |
83.0 |
521.7 |
89.2 |
−19.2 |
||
2: COM |
532.0 |
81.8 |
522.4 |
90.2 |
−9.6 |
|||
3: ES |
548.1 |
154.7 |
507.4 |
94.6 |
−40.7 |
|||
visual scanning |
missing critical symbols |
1: SMT |
7.80 |
6.92 |
6.10 |
5.03 |
−1.7 |
|
2: COM |
6.45 |
4.76 |
4.00 |
3.97 |
−2.5 |
|||
3: ES |
7.94 |
8.30 |
4.69 |
5.16 |
−3.3 |
|||
search time for non−critical symbols [ms] |
1: SMT |
4727 |
1474 |
4037 |
1145 |
−690 |
||
2: COM |
5171 |
2258 |
4309 |
1751 |
−862 |
|||
3: ES |
5080 |
1550 |
4382 |
1328 |
−698 |
|||
KIA: Concentration in everyday life |
1: SMT |
3.21 |
0.42 |
2.91 |
0.45 |
−0.3 |
||
2: COM |
3.16 |
0.47 |
2.84 |
0.48 |
−0.3 |
|||
3: ES |
3.05 |
0.38 |
2.82 |
0.40 |
−0.2 |
SMT: Stress Management Training; COM: combined treatment SMT+ES; ES: Eleutherococcus senticosus
No significant intergroup differences found
Test, Subtest |
Parameter |
Group |
Baseline |
8 weeks |
||||
---|---|---|---|---|---|---|---|---|
Feeling stressed |
Mean |
±SD |
Mean |
±SD |
Mean change |
|||
TICS: Trier Inventory for chronic stress determination |
||||||||
work overload |
1: SMT |
64.2 |
9.9 |
55.2 |
9.6 |
−9.0 |
||
2: COM |
62.5 |
10.3 |
53.9 |
9.1 |
−8.6 |
|||
3: ES |
64.6 |
10.3 |
57.6 |
9.5 |
−7.0 |
|||
social overload |
1: SMT |
59.8 |
11.6 |
53.5 |
8.7 |
−6.3 |
||
2: COM |
57.9 |
12.2 |
52.3 |
10.7 |
−5.6 |
|||
3: ES |
59.0 |
14.5 |
53.4 |
13.3 |
−5.6 |
|||
pressure to perform |
1: SMT |
58.8 |
7.3 |
54.1 |
7.2 |
−4.7 |
||
2: COM |
58.8 |
9.7 |
52.0 |
8.2 |
−6.8 |
|||
3: ES |
56.5 |
10.5 |
53.6 |
7.7 |
−2.9 |
|||
work discontent |
1: SMT |
62.1 |
9.2 |
57.2 |
9.8 |
−4.9 |
||
2: COM |
60.5 |
8.5 |
54.9 |
10.6 |
−5.6 |
|||
3: ES |
61.9 |
8.4 |
56.5 |
9.7 |
−5.4 |
|||
excessive demands from work |
1: SMT |
64.1 |
7.6 |
57.5 |
9.2 |
−6.6 |
||
2: COM |
64.8 |
9.1 |
56.5 |
10.8 |
−8.3 |
|||
3: ES |
64.1 |
9.1 |
59.2 |
8.6 |
−4.9 |
|||
lack of social recognition |
1: SMT |
62.3 |
8.1 |
57.7 |
8.2 |
−4.6 |
||
2: COM |
62.8 |
8.4 |
54.8 |
10.0 |
−8.0 |
|||
3: ES |
60.9 |
9.5 |
56.3 |
9.5 |
−4.6 |
|||
social tensions |
1: SMT |
56.3 |
11.0 |
51.1 |
11.7 |
−5.2 |
||
2: COM |
61.5 |
10.3 |
53.8 |
11.2 |
−7.7 |
|||
3: ES |
60.0 |
9.8 |
54.7 |
10.1 |
−5.3 |
|||
social isolation |
1: SMT |
56.6 |
9.0 |
52.1 |
11.2 |
−4.5 |
||
2: COM |
57.3 |
10.0 |
51.7 |
10.1 |
−5.6 |
|||
3: ES |
59.3 |
11.7 |
53.4 |
9.7 |
−5.9 |
|||
chronic worrying |
1: SMT |
58.2 |
10.0 |
51.0 |
9.5 |
−7.2 |
||
2: COM |
59.2 |
10.5 |
51.8 |
10.3 |
−7.4 |
|||
3: ES |
60.0 |
7.6 |
53.4 |
9.1 |
−6.6 |
|||
SDS: Sheehan Disability Scale |
global functional impairment |
1: SMT |
16.7 |
6.2 |
10.5 |
5.8 |
−6.2 |
|
2: COM |
16.8 |
6.2 |
9.3 |
5.8 |
−7.5 |
|||
3: ES |
18.4 |
5.2 |
12.4 |
7.0 |
−6.0 |
|||
days unproductive |
1: SMT |
3.1 |
2.2 |
1.8 |
2.7 |
−1.3 |
||
2: COM |
3.5 |
2.6 |
1.3 |
1.9 |
−2.2 |
|||
3: ES |
3.6 |
2.4 |
1.5 |
1.8 |
−2.1 |
|||
days lost |
1: SMT |
0.5 |
1.4 |
0.5 |
1.7 |
0.0 |
||
2: COM |
1.0 |
1.5 |
0.3 |
0.7 |
−0.7 |
|||
3: ES |
1.0 |
1.9 |
0.3 |
0.7 |
−0.7 |
|||
Fatigue, exhaustion |
||||||||
MFI-20: Multi-dimensional Fatigue Inventory |
general Fatigue |
1: SMT |
15.0 |
4.2 |
11.5 |
3.6 |
−3.5 |
|
2: COM |
14.3 |
3.8 |
10.7 |
4.0 |
−3.6 |
|||
3: ES |
15.2 |
3.2 |
12.0 |
3.7 |
−3.2 |
|||
physical Fatigue |
1: SMT |
12.7 |
3.7 |
10.0 |
3.6 |
−2.7 |
||
2: COM |
12.7 |
3.6 |
9.6 |
3.2 |
−3.1 |
|||
3: ES |
14.1 |
2.8 |
11.0 |
3.4 |
−3.1 |
|||
mental Fatigue |
1: SMT |
13.8 |
3.9 |
10.7 |
3.5 |
−3.1 |
||
2: COM |
14.2 |
3.0 |
* 9.7 |
3.0 |
−4.5 |
|||
3: ES |
13.7 |
2.7 |
* 11.0 |
3.4 |
−2.7 |
|||
reduced Activity |
1: SMT |
11.8 |
3.6 |
9.5 |
3.5 |
−2.3 |
||
2: COM |
12.0 |
3.9 |
9.9 |
2.9 |
−2.1 |
|||
3: ES |
12.4 |
2.8 |
10.3 |
3.3 |
−2.1 |
|||
reduced Motivation |
1: SMT |
11.2 |
3.3 |
9.1 |
2.7 |
−2.1 |
||
2: COM |
11.2 |
3.7 |
8.8 |
2.9 |
−2.4 |
|||
3: ES |
12.0 |
2.5 |
9.9 |
2.9 |
−2.1 |
|||
total score MFI-20 |
1: SMT |
64.4 |
14.3 |
50.5 |
14.1 |
−13.9 |
||
2: COM |
64.5 |
14.6 |
48.6 |
13.0 |
−15.9 |
|||
3: ES |
67.4 |
9.2 |
54.2 |
14.1 |
−13.2 |
|||
ASS-SYM: |
exhaustion |
1: SMT |
16.6 |
4.0 |
10.7 |
5.0 |
−5.9 |
|
2: COM |
15.9 |
3.6 |
9.7 |
4.3 |
−6.2 |
|||
3: ES |
16.7 |
3.1 |
12.2 |
4.2 |
−4.5 |
SMT: Stress Management Training; COM: combined treatment SMT+ES; ES: Eleutherococcus senticosus
Asterisk: group difference p<0.05. Bold numbers indicate significant (p<0.05) interaction in the 2-factorial ANOVA, i. e. a treatment effect
Test, Subtest |
Parameter |
Group |
Baseline |
8 weeks |
|||
---|---|---|---|---|---|---|---|
Alertness, restlessness, mood |
Mean |
±SD |
Mean |
±SD |
Mean change |
||
MDMQ: Multi- dimensional mood state questionnaire |
good-bad mood |
1: SMT |
27.6 |
6.2 |
31.1 |
6.0 |
3.5 |
2: COM |
25.4 |
5.6 |
31.7 |
5.7 |
6.3 |
||
3: ES |
25.0 |
4.7 |
29.6 |
6.4 |
4.6 |
||
alertness-Fatigue |
1: SMT |
21.1 |
7.7 |
25.6 |
7.9 |
4.5 |
|
2: COM |
23.1 |
7.3 |
27.3 |
8.2 |
4.2 |
||
3: ES |
20.9 |
6.4 |
25.5 |
7.6 |
4.6 |
||
calmness-restlessness |
1: SMT |
24.0 |
6.1 |
29.0 |
6.0 |
5.0 |
|
2: COM |
21.9 |
6.5 |
** 31.0 |
5.2 |
9.1 |
||
3: ES |
21.5 |
6.1 |
** 27.4 |
7.0 |
5.9 |
||
ASS-SYM: |
tension |
1: SMT |
11.8 |
4. 7 |
7.4 |
5.2 |
−4.4 |
2: COM |
12.3 |
3.9 |
7.5 |
3.9 |
−4.8 |
||
3: ES |
12.8 |
4.0 |
8.9 |
4.6 |
−3.9 |
||
self-determination |
1: SMT |
10.4 |
4.8 |
6.1 |
5.0 |
−4.3 |
|
2: COM |
10.6 |
4.4 |
6.3 |
4.4 |
−4.3 |
||
3: ES |
10.3 |
4.4 |
6.8 |
4.2 |
−3.5 |
||
BDI-II: Beck depression inventory |
1: SMT |
14.5 |
8,7 |
6.6 |
6.2 |
−7.9 |
|
2: COM |
17.0 |
8.6 |
7.1 |
5.7 |
−9.9 |
||
3: ES |
16.4 |
6.9 |
9.9 |
7. 6 |
−6.5 |
||
WHO-5: Well-Being Index |
1: SMT |
* 10.5 |
5.0 |
14.6 |
4.5 |
4.1 |
|
2: COM |
9.4 |
4.4 |
** 15.9 |
4.4 |
6.5 |
||
3: ES |
* 8.4 |
4.3 |
** 12.5 |
5.8 |
4.1 |
||
LSEQ: Leeds Sleep Evaluation Questionnaire |
getting to sleep |
1: SMT |
46.8 |
16.5 |
44.4 |
18.1 |
−2.4 |
2: COM |
47.9 |
14.5 |
40.9 |
16.4 |
−7.0 |
||
3: ES |
49.7 |
19.0 |
45.7 |
16.6 |
−4.0 |
||
quality of sleep |
1: SMT |
57.9 |
21.7 |
45.4 |
23.6 |
−12.5 |
|
2: COM |
53.2 |
21.4 |
41.8 |
22.6 |
−11.4 |
||
3: ES |
57.4 |
21.9 |
49.3 |
18.8 |
−8.1 |
||
awake following sleep |
1: SMT |
55.7 |
22.1 |
44.2 |
21.7 |
−11.5 |
|
2: COM |
45.8 |
18.3 |
41.0 |
19.0 |
−4.8 |
||
3: ES |
51.1 |
18.9 |
43.5 |
17.3 |
−7.6 |
||
behaviour following wakening |
1: SMT |
60.4 |
15.5 |
46.9 |
20.5 |
−13.5 |
|
2: COM |
56.6 |
18.2 |
44.6 |
22.1 |
−12.0 |
||
3: ES |
60.7 |
13.8 |
47.4 |
17.9 |
−13.3 |
||
ASS-SYM: |
dysregulation |
1: SMT |
7.5 |
4.7 |
4.3 |
4.3 |
−3.2 |
2: COM |
7.7 |
4.6 |
4.3 |
3.5 |
−3.4 |
||
3: ES |
8.3 |
4.4 |
4.9 |
3.2 |
−3.4 |
||
burden of pain |
1: SMT |
8.6 |
4.7 |
5.0 |
4.0 |
−3.6 |
|
2: COM |
8.1 |
5.1 |
5.1 |
3.9 |
−3.0 |
||
3: ES |
7.9 |
3.8 |
5.2 |
3.1 |
−2.7 |
||
FFKA: Freiburg Questionnaire on Physical Activity |
1: SMT |
31.4 |
46.4 |
39.8 |
30.2 |
8.4 |
|
2: COM |
33.6 |
46.9 |
40.2 |
30.6 |
6.6 |
||
3: ES |
23.9 |
23.1 |
42.8 |
57.6 |
18.9 |
||
Physiological stress parameters |
|||||||
Heart rate variabil. |
mean square succ. interval diff. |
1: SMT |
64.9 |
129.4 |
108.0 |
150.9 |
43.1 |
2: COM |
40.5 |
103.5 |
101.2 |
170.3 |
60.7 |
||
3: ES |
37.9 |
92.4 |
93.4 |
140.2 |
55.5 |
||
Electrodermal (e.d.) activity |
dermal conductability [µS] |
1: SMT |
12.1 |
5.4 |
10.1 |
5.2 |
−2.0 |
2: COM |
12.1 |
4.4 |
8.9 |
4.6 |
−3.2 |
||
3: ES |
14.0 |
7.4 |
11.3 |
7.0 |
−2.7 |
||
number of e.d. responses [/ min] |
1: SMT |
47.4 |
17.8 |
39.9 |
18.5 |
−7.5 |
|
2: COM |
48.8 |
16.3 |
39.7 |
18.0 |
−9.1 |
||
3: ES |
47.1 |
15.8 |
38.7 |
18.5 |
−8.4 |
||
accumulated amplitude [µS] |
1: SMT |
20.2 |
14.9 |
17.1 |
12.7 |
−3.1 |
|
2: COM |
18.7 |
12.7 |
17.3 |
14.3 |
−1.4 |
||
3: ES |
21.3 |
16.2 |
19.4 |
17.9 |
−1.9 |
||
Salivary cortisol: awakening profile |
awakening response1 [nmol/l] |
1: SMT |
6.1 |
6.7 |
5.7 |
6.3 |
−0.4 |
2: COM |
5.0 |
7.9 |
5.1 |
7.6 |
0.1 |
||
3: ES |
7.5 |
7.1 |
6.6 |
7.2 |
−0.9 |
||
sum2 [nmol/l] |
1: SMT |
768 |
236 |
778 |
311 |
10 |
|
2: COM |
853 |
310 |
800 |
272 |
−53 |
||
3: ES |
878 |
256 |
846 |
322 |
−32 |
||
Salivary cortisol: diurnal profile |
diurnal time profile3 [nmol/l] |
1: SMT |
−4.1 |
5.4 |
−4.6 |
5.8 |
−0.5 |
2: COM |
−5.9 |
6.5 |
−5.3 |
4.9 |
0.6 |
||
3: ES |
−4.8 |
5.4 |
−4.0 |
5.9 |
0.8 |
||
diurnal sum4 [nmol/l] |
1: SMT |
70.1 |
24.8 |
69.7 |
24.4 |
−0.4 |
|
2: COM |
74.4 |
32.2 |
74.6 |
27.0 |
0.2 |
||
3: ES |
78.5 |
38.2 |
77.1 |
40.1 |
−1.4 |
SMT: Stress Management Training; COM: combined treatment SMT+ES; ES: Eleutherococcus senticosus
Asterisk: group differences significant at * p<0.05; ** p<0.01 level. Bold numbers indicate significant (p<0.05) interaction in the 2-factorial ANOVA, i. e. a treatment effect
1difference between measures taken 30 min after awakening and at awakening 2 sum of measures at awakening, +30 min, +45 min 3 difference between measures taken at 3 p.m. and 9 a.m. 4 sum of measures at 9 a.m., 3 p.m., and 9 p.m
#
Efficacy
Mean values of the efficacy parameters at V2 and V4 are given in [Table 1] [2] [3]. Generally, most test parameters improved from visit to visit in all 3 treatment groups, with the exception of some cognitive parameters and physiological stress parameters. For example, the mean WHO-5 well-being score increased from 9.4 at V2 to 14.2 at V4, and the BDi-II depression score decreased from 16.0 to 8.0, both final values being in the reference range for normal populations.
SMT: Stress Management Training; COM: combined treatment SMT+ES; ES: Eleutherococcus senticosus
No significant intergroup differences found
For 2 parameters the 2-factorial ANOVA revealed significant interaction effects indicating a treatment effect: MFI-20 subscale “mental fatigue” improved more in group COM than in groups SMT and ES at V3, the difference still being significant for group COM vs. group ES at V4 ([Table 2], [Fig. 3] 2-factorial ANOVA: interaction group×visit p=0.015; 1-factorial ANOVA: group p=0.038; no gender effect). The MBDF subscale “calmness-restlessness” revealed superiority of combination therapy over ES at V3 and V4 ([Table 3]; 2-factorial ANOVA: interaction group×visit p=0.032; 1-factorial ANOVA: group p=0.038; no gender effect). Superiority of combination therapy over ES was also supported by a trend in the WHO-5 well-being scale (2-factorial ANOVA: interaction group×visit p=0.087; 1-factorial ANOVA: group p=0.051).


Satisfaction with therapy was highest in the combination group COM with a rating of 1.84±1.05 on a Likert-scale from 1 to 5. The SMT group receiving training only followed with 1.92±0.87, ES was ranked lowest with 2.41±1.23. Differences were significant for COM vs. ES (p=0.02) and SMT vs. ES (p=0.037). Percentage of participants in groups SMT/COM/ES willing to continue treatment after study termination were 83.9%/ 78%/ 62.5%.
Cortisol awakening response, i. e., the absolute increase within 30 min after awakening, significantly changed from visit 2 over visit 3 to visit 4 without group differences ([Fig. 2]; 2-factorial ANOVA, factor group p=0.24; factor visit p=0.047).
#
Safety
No severe or serious adverse events or clinically relevant laboratory parameter changes occurred in this trial. From V2 to V4, 8 adverse events were recorded in group SMT, 18 adverse events in group COM and 27 adverse events in group ES. For none of the adverse events a likely causal relation to treatment was established. Most common adverse events in group COM were common cold and influenza (2 each), in group ES headache (4), herpes labialis (3) and common cold (2).
#
#
Discussion
General well-being, stress-related complaints and cognitive performance improved in most of the parameters tested in this trial, and some of them to a considerable extent. The study medication and the training programs were well tolerated and safe. Stress management training was associated with high treatment satisfaction and about 80% willingness to continue behavioural strategies acquired from the training.
The statistical design of the study was adequate to demonstrate significant changes from visit to visit even when these were smaller than the variances. However, there were only a few parameters demonstrating statistically significant treatment differences. Wherever differences exist, they suggest that combination therapy may be more effective than taking ES alone. In none of the evaluated parameters was the addition of taking ES to stress management training superior to training alone. The fact that we detected statistically significant treatment differences confirms the assay sensitivity of our study, i. e., the ability to detect treatment effects. In our exploratory trial, we did not correct level of significance for multiple testing. The fact that all observed treatment differences favoured one of 3 treatment groups suggests that the findings reflect a real treatment effect and not chance variations.
When evaluating subjective and psychophysical parameters by repeated testing in a clinical trial context in subjects with stress-related symptoms, outcomes will be affected by important unspecific effects [33]. Therefore the reported improvements over time should be interpreted as a combination of pharmacological treatment effects, subject and investigator expectations, regression to the mean, spontaneous improvement, a Hawthorne effect, training effects in case of neuropsychological tests, and adaptation to the test situation for physiological parameters. Such unspecific effects, often subsumed into the term “placebo effect”, can be an important, sometimes the most important, source of clinical benefit. As we were interested in estimating the clinical benefit of the treatment strategy “adding regular intake of ES” in this patient group, not in measuring pure pharmacological effect size, we deliberately did not conduct a placebo-controlled trial. Because the combination of ES plus SMT was not better than SMT alone in any parameter, we did not even observe a placebo effect, i. e., the psychological benefit and expectations associated with the regular intake of a promising drug. Therefore, lack of a placebo control in our trial does not impact our conclusion.
In a context, where several treatment strategies are commonly used but combinations have not been systematically tested, our exploratory 3-arm trial design without placebo control proved to be efficient to arrive at a go/nogo decision for the next step in clinical research: a large placebo-controlled confirmatory trial. Certainly, the main limitation of our trial design is that it does not allow us to draw conclusions on the absolute size of specific effects of ES or SMT therapy. These questions have to be addressed in a standard phase III trial design [32].
Our study population was bothered by considerable amounts of occupational and social chronic stress as evidenced by baseline mean TICS values 1–2 standard deviations above population averages. Symptoms were severe enough to make the participants seek professional help. Nevertheless, normal average baseline salivary cortisol levels, diurnal profiles and awakening responses indicate that subjects were not suffering from chronic stress severe enough to affect the HPA-axis to an extent resulting in abnormal mean values. Our study was sufficiently powered to detect a small transient attenuation of the cortisol awakening response without group differences. We interpret this as a Hawthorne effect, i. e., the benefit and relief from participating in a clinical trial. Since “the effect of an adaptogen is as pronounced as the deeper are pathological changes in the organism” [7] and modulation of the HPA-axis has been postulated as a mode of action, the potency of the study medication may not have been fully exploited. While we could not detect effects in subjects seeking support for chronic stress typically associated with western urban lifestyle, we cannot exclude that adding ES to non-pharmacological interventions has measurable benefits that have been reported from earlier trials in extreme stressful situations, such as military long-term-flights, submarine crew members, Olympic games, or space flights [8].
ES extraction parameters and pharmaceutical quality, dosing, mode of administration and treatment duration of the medicinal product were in agreement with monographs and tradition. The assessment report of the EMA Herbal Medicinal Products Committee (HMPC) in 2008 concluded that “none of the studies would be sufficient to substantiate efficacy of ES preparations in a clearly defined clinical condition, although, in total, the data available are sufficient to justify further research into the concept of adaptogens” [8]. Some more recent reports from controlled studies were in line with older findings that ES may increase endurance capacity [34], reduce cardiovascular stress response to a test situation [35] and transiently improve quality of life in elderly patients with cardiovascular diseases [36], but methodological shortcomings criticized by the HMPC also apply to these investigations, especially due to the low numbers of subjects included. A larger trial on 96 volunteers suffering from chronic fatigue did not find superiority of ES over placebo [37]. Likewise, we did not observe any additional effects when adding ES to SMT.
Yarnell et al. [38] recommend ES “for patients suffering from physical stress from work or exercise” and “athletes searching for a safe alternative to hormones” rather than for subjects suffering from mental stress, where they prefer Rhodiola rosea. A considerable number of clinical studies gave promising results for preparations from this plant for a wide range of applications including fatigue, cognitive functioning, depression and anxiety [39] [40]. A systematic review of randomized clinical trials concluded that Rhodiola rosea may have beneficial effects on physical performance, mental performance, and certain mental health conditions [41]. A recent open trial with the standardized Rhodiola rosea dry extract WS® 1375 in subjects with life stress symptoms found clinically relevant improvements of stress symptoms, disability, and functional impairment [42]. This finding is currently re-evaluated in burn-out patients (EUCTR2010–022686–10-AT) and a controlled trial of the effects on physiological and psychological responses to psychological stress assessed under laboratory conditions and in everyday life has recently been completed in the UK (EUCTR2009-017806-36-GB). Although ginseng, Siberian ginseng, roseroot and Chinese magnolia vine have been classified as “adaptogens” based on tradition, theory, and animal experiments, clinical evidence does not support this concept. Plant adaptogens have to be evaluated clinically on a case-by-case basis and should not be seen as a homogenous class of compounds.
In sum the current study failed to find beneficial effects of adding regular intake of Siberian ginseng to stress management training on subjective well-being measures, cognitive tests as well as physiological stress markers in subjects experiencing high stress levels and seeking help for impaired working performance, concentration capability, fatigue and weakness.
#
#
Conflict of Interest
K. Schaffler was the LKP of the multi-center study and has no conflict of interest.
Oliver T. Wolf has worked as a consultant for Dr. Willmar Schwabe GmbH & Co. KG.
Martin Burkart is employee of Dr. Willmar Schwabe GmbH & Co. KG, the sponsor of the
trial and marketing authorisation holder of WS® 1070.
-
References
- 1 Murta SG, Sanderson K, Oldenburg B. Process evaluation in occupational stress management programs: a systematic review. Am J Health Promot 2007; 21: 248-254
- 2 Chiesa A, Seretti A. Mindfulness-based stress reduction for stress management in healthy people: a review and meta-analysis. J Altern Complement Med 2009; 15: 593-600
- 3 Li AW, Goldsmith CA. The effects of yoga on anxiety and stress. Altern Med Rev 2012; 17: 21-35
- 4 Czabała C, Charzyńska K, Mroziak B. Psychosocial interventions in workplace mental health promotion: an overview. Health Promot Int 2011; 26 (Suppl. 01) i70-i84
- 5 Ratanasiripong P, Ratanasiripong N, Kathalae D. Biofeedback intervention for stress and anxiety among nursing students: a randomized controlled trial. ISRN Nurs 2012; 2012: 827972
- 6 Panossian A, Wagner H. Stimulating effect of adaptogens: an overview with particular reference to their efficacy following dose administration. Phytother Res 2005; 19: 819-838
- 7 EMEA/HMPC/102655/2007. Reflection Paper on the Adaptogenic Concept. European Medicines Agency, London, 8 May 2008; Doc. Ref. EMEA/HMPC/102655/2007
- 8 Committee on herbal medicinal products (HMPC) Eleutherococcus senticosus (Ruppr. et Maxim.) Maxim., radix. Assessment report. London, 8 May 2008; Doc. Ref. EMEA/HMPC/232403/2006
- 9 Panossian A, Wikman G. Evidence-based efficacy of adaptogens in fatigue, and molecular mechanisms related to their stress-protective activity. Curr Clin Pharmacol 2009; 4: 198-219
- 10 Smets EMA, Garssen B, Bonke B et al. The multidimensional fatigue inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosomat Res 1995; 39: 315-325
- 11 Krampen G. Änderungssensitive Symptomliste zu Entspannungserleben, Wohlbefinden, Beschwerden- und Problembelastungen (Manual). Hogrefe Verlag GmbH & Co. KG; 2006
- 12 Schulz P, Schlotz W, Becker P. Trierer Inventar zum chronischen Stress. Hogrefe-Verlag GmbH & Co. KG; 2004
- 13 Hautzinger M, Keller F, Kühner C. BDI-II Beck Depression-Inventory – Manual. Pearson Assessment & Information GmbH. 2009 2nd edition
- 14 Schellig D, Schächtele B. Visueller und verbaler Merkfähigkeitstest (VVM, visual and verbal memory test) – Manual. Pearson Assessment & Information GmbH, Frankfurt am Main. 2009 2nd edition
- 15 Zimmermann P, Fimm B. Testbatterie zur Erfassung von Aufmerksamkeitsstörungen. Freiburg: Psytest; 1993. Version 1.02
- 16 Zimmermann P, Fimm B. A test battery for attentional performance. In: Leclercq M, Zimmermann P. (eds.). Applied Neuropsychology of Attention. Theory, Diagnosis and Rehabilitation. 2002: 110-151
- 17 Scholz A. Konzentration im Alltag: Erleben und Leistung (Concentration in everyday life: experience and performance). PhD thesis, Technical University Dresden (Faculty of Mathematics and Natural Sciences); 2006
- 18 Harnett-Sheehan K, Sheehan DV. Assessing treatment effects in clinical trials with the Discan metric of the Sheehan disability Scale. Int Clin Psychopharmacol 2008; 23: 70-83
- 19 Steyer R, Schwenkmezger P, Notz P et al. Der mehrdimensionale Befindlichkeitsfragebogen (Multidimensional Mental State Questionnaire, MDBF) Manual. Hogrefe Verlag GmbH & Co. KG; 1997
- 20 Cheun R, Burkart M, Maier W et al. Internal and external validity of the WHO well-being scale in the elderly general population. Acta Psychiatr Scand 1999; 99: 171-178
- 21 Parrott AC, Hindmarch I. The Leeds Sleep Evaluation Questionnaire in psychopharmacological investigations – a review. Psychopharmacology 1980; 71: 173-179
- 22 Frey I, Berg A, Grathwohl D et al. Freiburger Fragebogen zur körperlichen Aktivität – Entwicklung, Prüfung und Anwendung. Soz.-Präventivmed 1999; 44: 55-64
- 23 Boucsein W, Backs RW. The Psychophysiology of Emotion, Arousal, and Personality: Methods and Models. In: Duffy VG. (ed.). Handbook of Digital Human Modeling. Boca Raton: CRC Press/Taylor & Francis; 2009. 35-1-35-18
- 24 Boucsein W. Physiologische Grundlagen und Meßmethoden der dermalen Aktivität. In: Rösler F. (ed.). Enzyklopädie der Psychologie, Bereich Psychophysiologie, Band 1: Grundlagen und Methoden der Psychophysiologie (551-623). Göttingen: Hogrefe;
- 25 Fries E, Dettenborn L, Kirschbaum C. The cortisol awakening response (CAR): Facts and future directions. Int J Psychophysiol 2009; 72: 67-73
- 26 Chida Y, Steptoe A. Cortisol awakening response and psychosocial factors: A systematic review and meta-analysis. Biol Psychiatry 2008; 80: 265-278
- 27 Kudielka BM, Wüst S. Human models in acute and chronic stress: assessing determinants of individual hypothalamus-pituitary-adrenal axis activity and reactivity. Stress 2010; 13: 1-14
- 28 Olsson EMG, von Schéele B, Panossian AG. A randomized, double-blind, placebo-controlled, parallel-group study of the standardized extract SHR-5 of the roots of Rhodiola rosea in the treatment of subjects with stress-related fatigue. Planta Med 2009; 75: 105-112
- 29 Cooley K, Szczurka O, Perris D et al. Naturopathic Care for Anxiety: A Randomized Controlled Trial ISRCTN78958974. PLoS ONE 2009; 4: e6628
- 30 Auddy B, Hazra J, Mitra A et al. A standardized Withania Somnifera extract significantly reduces stress-related parameters in chronically stressed humans: A double-blind, randomized, placebo-controlled study. JANA 2008; 11: 50-56
- 31 Wust S, Wolf J, Hellhammer DH et al. The cortisol awakening response – normal values and confounds. Noise Health 2000; 2: 79-88
- 32 EMEA ICH, Topic E. 9. Note for Guidance on Statistical Principles for Clinical Trials. European Medicines Agency; London: September 1998. Doc. Ref. EMEA/CPMP/ICH/363/96
- 33 McCall WV, D’Agostino Jr R, Rosenquist PB et al. Dissection of the factors driving the placebo effect in hypnotic treatment of depressed insomniacs. Sleep Med 2011; 12: 557-564
- 34 Kuo J, Chen KW, Cheng IS et al. The effect of eight weeks of supplementation with Eleutherococcus senticosus on endurance capacity and metabolism in human. Chin J Physiol 2010; 53: 105-111
- 35 Facchinetti F, Neri I, Tarabusi M. Eleuterococcus senticosus reduces cardiovascular stress response in healthy subjects: a randomized, placebo-controlled trial. Stress Health 2002; 18: 11-17
- 36 Cicero AF, Derosa G, Brillante R et al. Effects of Siberian ginseng (Eleutherococcus senticosus maxim.) on elderly quality of life: a randomized clinical trial. Arch Gerontol Geriatr Suppl 2004; 9: 69-73
- 37 Hartz AJ, Bentler S, Noyes R et al. Randomized controlled trial of Siberian ginseng for chronic fatigue. Psychol Med 2004; 34: 51-61
- 38 Yarnell E, Abascal K, Rountree R. Chapter 3: Adaptogens. In: Clinical Botanical Medicine. 2nd edition. Mary Ann Liebert; New Rochelle: 2009. 16-32
- 39 Committee on herbal medicinal products (HMPC). Assessment report on Rhodiola rosea L., rhizoma et radix. EMA/HMPC/232100/2011, 12 July 2011
- 40 Ishaque S, Shamseer L, Bukutu C et al. Rhodiola rosea for physical and mental fatigue: a systematic review. BMC Complement Altern Med 2012; 12: 70
- 41 Hung SK, Perry R, Ernst E. The effectiveness and efficacy of Rhodiola rosea L.: a systematic review of randomized clinical trials. Phytomedicine 2011; 18: 235-244
- 42 Edwards D, Heufelder A, Zimmermann A. Therapeutic effects and safety of Rhodiola rosea extract WS 1375 in subjects with life-stress symptoms – results of an open-label study. Phytotherapy Res 2012; 26: 1220-1225
Correspondence
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References
- 1 Murta SG, Sanderson K, Oldenburg B. Process evaluation in occupational stress management programs: a systematic review. Am J Health Promot 2007; 21: 248-254
- 2 Chiesa A, Seretti A. Mindfulness-based stress reduction for stress management in healthy people: a review and meta-analysis. J Altern Complement Med 2009; 15: 593-600
- 3 Li AW, Goldsmith CA. The effects of yoga on anxiety and stress. Altern Med Rev 2012; 17: 21-35
- 4 Czabała C, Charzyńska K, Mroziak B. Psychosocial interventions in workplace mental health promotion: an overview. Health Promot Int 2011; 26 (Suppl. 01) i70-i84
- 5 Ratanasiripong P, Ratanasiripong N, Kathalae D. Biofeedback intervention for stress and anxiety among nursing students: a randomized controlled trial. ISRN Nurs 2012; 2012: 827972
- 6 Panossian A, Wagner H. Stimulating effect of adaptogens: an overview with particular reference to their efficacy following dose administration. Phytother Res 2005; 19: 819-838
- 7 EMEA/HMPC/102655/2007. Reflection Paper on the Adaptogenic Concept. European Medicines Agency, London, 8 May 2008; Doc. Ref. EMEA/HMPC/102655/2007
- 8 Committee on herbal medicinal products (HMPC) Eleutherococcus senticosus (Ruppr. et Maxim.) Maxim., radix. Assessment report. London, 8 May 2008; Doc. Ref. EMEA/HMPC/232403/2006
- 9 Panossian A, Wikman G. Evidence-based efficacy of adaptogens in fatigue, and molecular mechanisms related to their stress-protective activity. Curr Clin Pharmacol 2009; 4: 198-219
- 10 Smets EMA, Garssen B, Bonke B et al. The multidimensional fatigue inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosomat Res 1995; 39: 315-325
- 11 Krampen G. Änderungssensitive Symptomliste zu Entspannungserleben, Wohlbefinden, Beschwerden- und Problembelastungen (Manual). Hogrefe Verlag GmbH & Co. KG; 2006
- 12 Schulz P, Schlotz W, Becker P. Trierer Inventar zum chronischen Stress. Hogrefe-Verlag GmbH & Co. KG; 2004
- 13 Hautzinger M, Keller F, Kühner C. BDI-II Beck Depression-Inventory – Manual. Pearson Assessment & Information GmbH. 2009 2nd edition
- 14 Schellig D, Schächtele B. Visueller und verbaler Merkfähigkeitstest (VVM, visual and verbal memory test) – Manual. Pearson Assessment & Information GmbH, Frankfurt am Main. 2009 2nd edition
- 15 Zimmermann P, Fimm B. Testbatterie zur Erfassung von Aufmerksamkeitsstörungen. Freiburg: Psytest; 1993. Version 1.02
- 16 Zimmermann P, Fimm B. A test battery for attentional performance. In: Leclercq M, Zimmermann P. (eds.). Applied Neuropsychology of Attention. Theory, Diagnosis and Rehabilitation. 2002: 110-151
- 17 Scholz A. Konzentration im Alltag: Erleben und Leistung (Concentration in everyday life: experience and performance). PhD thesis, Technical University Dresden (Faculty of Mathematics and Natural Sciences); 2006
- 18 Harnett-Sheehan K, Sheehan DV. Assessing treatment effects in clinical trials with the Discan metric of the Sheehan disability Scale. Int Clin Psychopharmacol 2008; 23: 70-83
- 19 Steyer R, Schwenkmezger P, Notz P et al. Der mehrdimensionale Befindlichkeitsfragebogen (Multidimensional Mental State Questionnaire, MDBF) Manual. Hogrefe Verlag GmbH & Co. KG; 1997
- 20 Cheun R, Burkart M, Maier W et al. Internal and external validity of the WHO well-being scale in the elderly general population. Acta Psychiatr Scand 1999; 99: 171-178
- 21 Parrott AC, Hindmarch I. The Leeds Sleep Evaluation Questionnaire in psychopharmacological investigations – a review. Psychopharmacology 1980; 71: 173-179
- 22 Frey I, Berg A, Grathwohl D et al. Freiburger Fragebogen zur körperlichen Aktivität – Entwicklung, Prüfung und Anwendung. Soz.-Präventivmed 1999; 44: 55-64
- 23 Boucsein W, Backs RW. The Psychophysiology of Emotion, Arousal, and Personality: Methods and Models. In: Duffy VG. (ed.). Handbook of Digital Human Modeling. Boca Raton: CRC Press/Taylor & Francis; 2009. 35-1-35-18
- 24 Boucsein W. Physiologische Grundlagen und Meßmethoden der dermalen Aktivität. In: Rösler F. (ed.). Enzyklopädie der Psychologie, Bereich Psychophysiologie, Band 1: Grundlagen und Methoden der Psychophysiologie (551-623). Göttingen: Hogrefe;
- 25 Fries E, Dettenborn L, Kirschbaum C. The cortisol awakening response (CAR): Facts and future directions. Int J Psychophysiol 2009; 72: 67-73
- 26 Chida Y, Steptoe A. Cortisol awakening response and psychosocial factors: A systematic review and meta-analysis. Biol Psychiatry 2008; 80: 265-278
- 27 Kudielka BM, Wüst S. Human models in acute and chronic stress: assessing determinants of individual hypothalamus-pituitary-adrenal axis activity and reactivity. Stress 2010; 13: 1-14
- 28 Olsson EMG, von Schéele B, Panossian AG. A randomized, double-blind, placebo-controlled, parallel-group study of the standardized extract SHR-5 of the roots of Rhodiola rosea in the treatment of subjects with stress-related fatigue. Planta Med 2009; 75: 105-112
- 29 Cooley K, Szczurka O, Perris D et al. Naturopathic Care for Anxiety: A Randomized Controlled Trial ISRCTN78958974. PLoS ONE 2009; 4: e6628
- 30 Auddy B, Hazra J, Mitra A et al. A standardized Withania Somnifera extract significantly reduces stress-related parameters in chronically stressed humans: A double-blind, randomized, placebo-controlled study. JANA 2008; 11: 50-56
- 31 Wust S, Wolf J, Hellhammer DH et al. The cortisol awakening response – normal values and confounds. Noise Health 2000; 2: 79-88
- 32 EMEA ICH, Topic E. 9. Note for Guidance on Statistical Principles for Clinical Trials. European Medicines Agency; London: September 1998. Doc. Ref. EMEA/CPMP/ICH/363/96
- 33 McCall WV, D’Agostino Jr R, Rosenquist PB et al. Dissection of the factors driving the placebo effect in hypnotic treatment of depressed insomniacs. Sleep Med 2011; 12: 557-564
- 34 Kuo J, Chen KW, Cheng IS et al. The effect of eight weeks of supplementation with Eleutherococcus senticosus on endurance capacity and metabolism in human. Chin J Physiol 2010; 53: 105-111
- 35 Facchinetti F, Neri I, Tarabusi M. Eleuterococcus senticosus reduces cardiovascular stress response in healthy subjects: a randomized, placebo-controlled trial. Stress Health 2002; 18: 11-17
- 36 Cicero AF, Derosa G, Brillante R et al. Effects of Siberian ginseng (Eleutherococcus senticosus maxim.) on elderly quality of life: a randomized clinical trial. Arch Gerontol Geriatr Suppl 2004; 9: 69-73
- 37 Hartz AJ, Bentler S, Noyes R et al. Randomized controlled trial of Siberian ginseng for chronic fatigue. Psychol Med 2004; 34: 51-61
- 38 Yarnell E, Abascal K, Rountree R. Chapter 3: Adaptogens. In: Clinical Botanical Medicine. 2nd edition. Mary Ann Liebert; New Rochelle: 2009. 16-32
- 39 Committee on herbal medicinal products (HMPC). Assessment report on Rhodiola rosea L., rhizoma et radix. EMA/HMPC/232100/2011, 12 July 2011
- 40 Ishaque S, Shamseer L, Bukutu C et al. Rhodiola rosea for physical and mental fatigue: a systematic review. BMC Complement Altern Med 2012; 12: 70
- 41 Hung SK, Perry R, Ernst E. The effectiveness and efficacy of Rhodiola rosea L.: a systematic review of randomized clinical trials. Phytomedicine 2011; 18: 235-244
- 42 Edwards D, Heufelder A, Zimmermann A. Therapeutic effects and safety of Rhodiola rosea extract WS 1375 in subjects with life-stress symptoms – results of an open-label study. Phytotherapy Res 2012; 26: 1220-1225





