Effects of a Lifestyle Product on Physiological Measures and Subjective Well-being in Humans: A Systematic Study
NCT ID: NCT04571775
Last Updated: 2020-10-09
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
NA
60 participants
INTERVENTIONAL
2020-10-03
2021-02-01
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Sample and Design: In the study 90 test persons are to be tested in a double-blind pre-post between-subject design with three groups (real device (A) - sham device without effectiveness (also called placebo, B) - no device (C)).
Measurement methods: Established questionnaires and scales as well as (neuro-)physiological methods comprising electroencephalography (EEG), electrocardiogram (ECG) and skin conductance level measure (electrodermal activity, EDA) during a 20 mins resting state measure with alternating eyes open and closed are used.
Statistical evaluation: Group comparisons (A, B, C) in the difference between the measurement points (post - pre) on a subjective and (neuro-)physiological level.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Effects of a Wearable Device and Social Media-Based Intervention on Physical Activity and Sleep Quality in Adults
NCT06739876
Effect of Chen Taichi on College Students' Physical and Psychological Health.
NCT05379075
Daoist Zhanzhuang and Human Flourishing
NCT06573034
Effect of Tai Chi on Symptoms in Hemodialysis Patients
NCT06412770
Effect of Sun Tai Chi on the Cardiopulmonary System and Mental Health in University Students
NCT07044154
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
The Qi-Shield device aims to reduce effects of EMF exposure and enable to maintain subjective well-being, low stress perception and good sleep quality.
Previous literature reported neuronal correlates characterized with (acute) stress exposure and effects on well-being (especially emotional regulation) at the physiological (autonomic nervous system) and neurophysiological level (central nervous system). These measurements can also be observed during the resting state. On a physiological level, heart rate variability (HRV) -recorded by the electrocardiography (ECG) - can be derived as a constant measure of the influence of stress. The most frequently reported parameter under acute stress was low parasympathetic activity, characterized by a decrease in the high frequency band (0.15-0.4 Hz, HF) and an increase in the low frequency band (0.04-0.15 Hz, LF). Furthermore, the measurement of sweat production of the skin - recorded by the derivation of the electrodermal skin activity (EDA) - is suitable to characterize specific influences on the autonomic nervous system. For this purpose, the EDA signal can be segmented into phasic reactions (individual rapid reactions - usually responses to a given stimulus) and tonic components (longer lasting basic skin resistance value). From these two components, the number of individual phasic responses, the summed amplitude of the phasic responses, and the change in the tonic state of the electrical conductivity are the most suitable feature to investigate effects of stress on the physiological level. On a neurophysiological level, acute stress leads to effects in the resting state networks of the brain. A recently published study showed that acute stress weakens the connectivity of the front-parietal module and strengthens the connectivity of the module in the default mode network. Thus, it can be assumed that stress influences the information flow in networks that are important for salience processing (especially attention control) and self-referential mental processing or even emotional processing. Possible quantitative markers from EEG resting state measurements are the derivation of the frequency spectrum (derived by calculating the Fourier transform) as well as connectivity measures (calculating coherence measures from the EEG frequency spectrum). In particular, the ratio of frontal theta (4-7 Hz) to beta (13-30 Hz) activity can be derived from the resting EEG as an indicator of possible influences on cognitive control abilities (attention-control). Possible influences on one's own well-being, such as the ability to control one's emotions (impulse control), can be observed in changes in frontal alpha (8-14 Hz) activity both in frequency spectrum and coherence and in the determination of so-called frontal alpha asymmetry. Since there could be possible effects of Qi-shield may result in a reduction of EMF, power and coherence measures in individual alpha and beta band resting activity already observed in connection with EMF exposure may serve as a basis for this study. Regarding subjective influences on effects of the here studied device, various studies reported correlations between personality characteristics (i.e, critical thinking), fluid intelligence and the tendency towards and openness for paranormal beliefs. Matrix intelligence tests such as the Vienna Matrix Test 2 (WMT-2) detect inferential thinking and correlate strongly positively with manifestations in critical thinking. Both constructs show a negative correlation between manifestations of paranormal beliefs and statements about paranormal experiences. An influence of personality factors such as openness to new experiences can also be assumed. To control possible moderating or mediating factors, these constructs will be investigate, too.
The study design is a double-blind Pre-Post Between-Subject Design. This means that the subjects are invited twice (pre-session and post-session). Between the two sessions, there is one week of exposure time during which the subjects of the invention groups take the device home.
At the beginning of the experiment in the pre-session, all subjects (N=90) are checked for the presence of inclusion and exclusion criteria and if necessary excluded from the study. The subjects are assigned to the trial groups in a semi-randomized latin-square counterbalanced manner. The assignment is double-blind, i.e. neither the volunteer nor the investigator is informed which group receives a placebo or real intervention. The real devices resemble the sham devices in appearance, composition and weight, so that a traceability based on these factors is not possible. The products are marked with the letters A and B. The assignment which letter belongs to which intervention group is explained in a sealed envelope and will be opened after completion of the study and analysis. Prior to the start of the study, participants are informed about their rights and potential risk of participation with an authorized deception in case of the assumed effects of the intervention and asked to sign the declaration of consent in line with the declaration of Helsinki. The information for the intervention groups differs from the information for the no-intervention group, as the latter serves as a control group and therefore does not receive any information about the intervention.
Afterwards the test person is asked to answer a control item for the examined product (only for group A - correct product and B - sham product) and then fill in questionnaires about sleep quality and current fatigue (in detail below). Subsequently, the sensors for EEG, ECG and EDA are prepared and fixed to the head and body accordance with the corresponding guidelines. After this preparation, the resting state measurements of electrophysiological signals (EEG, ECG and EDA) are recorded during relaxation. In order to identify possible effects in the alpha band, resting measurements are taken with eyes closed (so-called eyes closed EC) as well as with eyes open (so-called eyes open, EO) according to a standardized procedure. This consists of an alternating task (20 minutes in total) in which the subjects are asked to alternately "relax with eyes open" and "relax with eyes closed" for 60 seconds each. In the phase with open eyes, the test persons are asked to fixate a crosshair on a screen. The change between the phases is signalled by an acoustic tone.
Afterwards, the measurement equipment is removed from the head and body and the test person is asked to answer several questionnaires and scales (in detail below).
At the end of the session, test persons from groups A and B receive the information on handling the device and the device with the respective label (A or B). During the seven days exposure period, subjects are asked daily to answer questions about their current condition and special events via an online survey. The subjects in groups A and B are also asked to answer two questions related to the handling of the product. During the exposure period, subjects are supervised via WhatsApp or E-mail from employees of the University of Stuttgart and Fraunhofer IAO. A short standardized text will be used as a reminder to fill in the questionnaires if participants have not been completed by a certain time (6 pm). The second session is similar to the first session in terms of the way the study is conducted. At the beginning of the session, the subjects are again given detailed written information about the study and asked to sign the declaration of consent for the second session. Afterwards the participants are asked to fill in the daily questions about well-being, everyday stress and special events as well as the questionnaires about sleep quality and current fatigue. Afterwards, we will conduct the neurophysiological measurement during the resting state as in the pre-session. Afterwards, the measurement sensors are removed from the head and body and the participant is asked to answer the questionnaires and scales. At the end of the post-session the test persons will be informed in detailed and the deception will be dissolved. The experimenter will answers further questions.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
PARALLEL
OTHER
DOUBLE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Qi-Shield user group
Qi-Shield user group
real device Qi-Shield (treatment)
Sham Qi-Shield user group
Sham Qi-Shield user group
sham device (placebo)
No Qi-Shield device group
No interventions assigned to this group
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Qi-Shield user group
real device Qi-Shield (treatment)
Sham Qi-Shield user group
sham device (placebo)
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* sufficient language skills
* No knowledge or experience with the Qi-Shield device
Exclusion Criteria
* persons with COVID risk factors
Since it has been repeatedly reported that EHS individuals are prone to certain physiological reactions that are outside the normal range, we will exclude these individuals in the present study
18 Years
50 Years
ALL
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
University of Stuttgart, Institute of Human Factors and Technology Management
UNKNOWN
Waveguard GmbH
INDUSTRY
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Katharina Lingelbach
Role: PRINCIPAL_INVESTIGATOR
Fraunhofer Institute for Industrial Engineering IAO
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Fraunhofer Institute for Industrial Engineering IAO
Stuttgart, , Germany
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
References
Explore related publications, articles, or registry entries linked to this study.
Akerstedt T, Gillberg M. Subjective and objective sleepiness in the active individual. Int J Neurosci. 1990 May;52(1-2):29-37. doi: 10.3109/00207459008994241.
Angelidis A, van der Does W, Schakel L, Putman P. Frontal EEG theta/beta ratio as an electrophysiological marker for attentional control and its test-retest reliability. Biol Psychol. 2016 Dec;121(Pt A):49-52. doi: 10.1016/j.biopsycho.2016.09.008. Epub 2016 Sep 30.
Aubeck, H.-J. (1989). Querschnitt der Parapsychologie. Eine Einführung in die okkulte Wissenschaft. Deutschland, Frankfurt a. M.: R. G. Fischer.
Augner C, Gnambs T, Winker R, Barth A. Acute effects of electromagnetic fields emitted by GSM mobile phones on subjective well-being and physiological reactions: a meta-analysis. Sci Total Environ. 2012 May 1;424:11-5. doi: 10.1016/j.scitotenv.2012.02.034. Epub 2012 Mar 14.
Blankertz, B., Sanelli, C., Halder, S., Hammer, E., Kübler, A., Müller, K. R., ... & Dickhaus, T. (2009). Predicting BCI performance to study BCI illiteracy. BMC Neuroscience, 10(Suppl 1), 84. doi: 10.1016/j.neuroimage.2010.03.022
Bortz, J., & Döring, N. (2006). Forschungsmethoden und Evaluation: für Human- und Sozialwissenschaftler. Heidelberg, de: Springer-Medizin-Verl.
Breyer, B., & Bluemke, M. (2016). Deutsche Version der Positive and Negative Affect Schedule PANAS (GESIS Panel). Zusammenstellung sozialwissenschaftlicher Items und Skalen (ZIS). https://doi.org/10.6102/zis242
Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213. doi: 10.1016/0165-1781(89)90047-4.
Chmitorz A, Wenzel M, Stieglitz RD, Kunzler A, Bagusat C, Helmreich I, Gerlicher A, Kampa M, Kubiak T, Kalisch R, Lieb K, Tuscher O. Population-based validation of a German version of the Brief Resilience Scale. PLoS One. 2018 Feb 13;13(2):e0192761. doi: 10.1371/journal.pone.0192761. eCollection 2018.
Danker-Hopfe H, Eggert T, Dorn H, Sauter C. Effects of RF-EMF on the Human Resting-State EEG-the Inconsistencies in the Consistency. Part 1: Non-Exposure-Related Limitations of Comparability Between Studies. Bioelectromagnetics. 2019 Jul;40(5):291-318. doi: 10.1002/bem.22194. Epub 2019 Jun 18.
Dishman RK, Nakamura Y, Garcia ME, Thompson RW, Dunn AL, Blair SN. Heart rate variability, trait anxiety, and perceived stress among physically fit men and women. Int J Psychophysiol. 2000 Aug;37(2):121-33. doi: 10.1016/s0167-8760(00)00085-4.
Eid, M., Gollwitzer, M., & Schmitt, M. (2017). Statistik und Forschungsmethoden: mit Online-Materialien. Weinheim, Basel, de: Beltz Verlag.
Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007 May;39(2):175-91. doi: 10.3758/bf03193146.
Formann, A. K., & Piswanger, K. (1979). WMT-2. Wiener Matrizen-Test. Ein Rasch-skalierter sprachfreier Intelligenztest. Göttingen: Hofgrefe Testzentrale.
Hergovich, A. (2003). Field dependence, suggestibility and belief in paranormal phenomena. Personality and Individual Differences, 34, 195-209. https://doi.org/10.1016/S0191-8869(02)00022-3
Hergovich, A., & Arendasy, M. (2005). Critical thinking ability and belief in the paranormal. Personality and Individual Differences, 38, 1805-1812. https://doi.org/10.1016/j.paid.2004.11.008
Imperatori C, Farina B, Valenti EM, Di Poce A, D'Ari S, De Rossi E, Murgia C, Carbone GA, Massullo C, Della Marca G. Is resting state frontal alpha connectivity asymmetry a useful index to assess depressive symptoms? A preliminary investigation in a sample of university students. J Affect Disord. 2019 Oct 1;257:152-159. doi: 10.1016/j.jad.2019.07.034. Epub 2019 Jul 5.
Janke, S., & Glöckner-Rist, A. (2012). Deutsche Version der Satisfaction with Life Scale (SWLS). Zusammenstellung sozialwissenschaftlicher Items und Skalen (ZIS). https://doi.org/10.6102/zis147
Kim HG, Cheon EJ, Bai DS, Lee YH, Koo BH. Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature. Psychiatry Investig. 2018 Mar;15(3):235-245. doi: 10.30773/pi.2017.08.17. Epub 2018 Feb 28.
Laux, L., Glanzmann, P., Schaffner, P., & Spielberger, C. D. (1981). Das State-Trait-Angstinventar (STAI). Weinheim, DE: Beltz.
Lie D, Boker J. Development and validation of the CAM Health Belief Questionnaire (CHBQ) and CAM use and attitudes amongst medical students. BMC Med Educ. 2004 Jan 12;4:2. doi: 10.1186/1472-6920-4-2.
Psychiatric Research Unit, WHO Collaborating Center for Mental Health, WHO-5 Frederiksborg General Hospital, DK-3400 Hillerød. Abgerufen am 01.07.2020 unter https://www.thieme.de/de/thieme-telecare/143343.htm
Rammstedt, B., & John, O. P. (2005). Kurzversion des big five inventory (BFI-K). Diagnostica, 51, 195-206.
Rubin GJ, Das Munshi J, Wessely S. Electromagnetic hypersensitivity: a systematic review of provocation studies. Psychosom Med. 2005 Mar-Apr;67(2):224-32. doi: 10.1097/01.psy.0000155664.13300.64.
Seitz H, Stinner D, Eikmann T, Herr C, Roosli M. Electromagnetic hypersensitivity (EHS) and subjective health complaints associated with electromagnetic fields of mobile phone communication--a literature review published between 2000 and 2004. Sci Total Environ. 2005 Oct 15;349(1-3):45-55. doi: 10.1016/j.scitotenv.2005.05.009. Epub 2005 Jun 21.
Schneider EE, Schonfelder S, Domke-Wolf M, Wessa M. Measuring stress in clinical and nonclinical subjects using a German adaptation of the Perceived Stress Scale. Int J Clin Health Psychol. 2020 May-Aug;20(2):173-181. doi: 10.1016/j.ijchp.2020.03.004. Epub 2020 May 22.
Shen HH. Core Concept: Resting-state connectivity. Proc Natl Acad Sci U S A. 2015 Nov 17;112(46):14115-6. doi: 10.1073/pnas.1518785112. No abstract available.
van Son D, de Rover M, De Blasio FM, van der Does W, Barry RJ, Putman P. Electroencephalography theta/beta ratio covaries with mind wandering and functional connectivity in the executive control network. Ann N Y Acad Sci. 2019 Sep;1452(1):52-64. doi: 10.1111/nyas.14180. Epub 2019 Jul 16.
Tobacyk, J. (2004). A Revised Paranomal Belief Scale. International Journal of Transpersonal Studies, 23, 94 - 98. doi:10.1037/t14015-000
Wallace J, Selmaoui B. Effect of mobile phone radiofrequency signal on the alpha rhythm of human waking EEG: A review. Environ Res. 2019 Aug;175:274-286. doi: 10.1016/j.envres.2019.05.016. Epub 2019 May 12.
Watson G., & Glaser E.M., (1991). Watson-Glaser Critical Thinking Appraisal Manual. London: Psychological Corporation
WHO (2004, October 25 -27). WHO workshop on electromagnetic hypersensitivity. Prague, Czech Republic. Abgerufen am 01.07.2020 unter https://www.who.int/peh-emf/meetings/hypersensitivity_prague2004/en/
Zhang Y, Dai Z, Hu J, Qin S, Yu R, Sun Y. Stress-induced changes in modular organizations of human brain functional networks. Neurobiol Stress. 2020 May 25;13:100231. doi: 10.1016/j.ynstr.2020.100231. eCollection 2020 Nov.
Zhang, J., Hua, Y., Xiu, L., Oei, T. P., & Hu, P. (2020). Resting state frontal alpha asymmetry predicts emotion regulation difficulties in impulse control. Personality and Individual Differences, 159, 109870. https://doi.org/10.1016/j.paid.2020.109870
Nolte G, Bai O, Wheaton L, Mari Z, Vorbach S, Hallett M. Identifying true brain interaction from EEG data using the imaginary part of coherency. Clin Neurophysiol. 2004 Oct;115(10):2292-307. doi: 10.1016/j.clinph.2004.04.029.
Ewald A, Marzetti L, Zappasodi F, Meinecke FC, Nolte G. Estimating true brain connectivity from EEG/MEG data invariant to linear and static transformations in sensor space. Neuroimage. 2012 Mar;60(1):476-88. doi: 10.1016/j.neuroimage.2011.11.084. Epub 2011 Dec 7.
Lachaux JP, Rodriguez E, Martinerie J, Varela FJ. Measuring phase synchrony in brain signals. Hum Brain Mapp. 1999;8(4):194-208. doi: 10.1002/(sici)1097-0193(1999)8:43.0.co;2-c.
Bruna R, Maestu F, Pereda E. Phase locking value revisited: teaching new tricks to an old dog. J Neural Eng. 2018 Oct;15(5):056011. doi: 10.1088/1741-2552/aacfe4. Epub 2018 Jun 28.
Stam CJ, Nolte G, Daffertshofer A. Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources. Hum Brain Mapp. 2007 Nov;28(11):1178-93. doi: 10.1002/hbm.20346.
Vinck M, Oostenveld R, van Wingerden M, Battaglia F, Pennartz CM. An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias. Neuroimage. 2011 Apr 15;55(4):1548-65. doi: 10.1016/j.neuroimage.2011.01.055. Epub 2011 Jan 27.
Pan J, Tompkins WJ. A real-time QRS detection algorithm. IEEE Trans Biomed Eng. 1985 Mar;32(3):230-6. doi: 10.1109/TBME.1985.325532. No abstract available.
Provided Documents
Download supplemental materials such as informed consent forms, study protocols, or participant manuals.
Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
WAVEGUARD STRESS HUMANS FR01
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.