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Measuring the Moment-to-Moment Variability of Tinnitus: The TrackYourTinnitus Smart Phone App.

作者信息

Schlee Winfried, Pryss Rüdiger C, Probst Thomas, Schobel Johannes, Bachmeier Alexander, Reichert Manfred, Langguth Berthold

机构信息

Department of Psychiatry and Psychotherapy, University of Regensburg Regensburg, Germany.

Institute of Databases and Information Systems, Ulm University Ulm, Germany.

出版信息

Front Aging Neurosci. 2016 Dec 15;8:294. doi: 10.3389/fnagi.2016.00294. eCollection 2016.


DOI:10.3389/fnagi.2016.00294
PMID:28018210
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5156957/
Abstract

Tinnitus, the phantom perception of sound without a corresponding external sound, is a frequent disorder which causes significant morbidity. So far there is no treatment available that reliably reduces the tinnitus perception. The research is hampered by the large heterogeneity of tinnitus and the fact that the tinnitus perception fluctuates over time. It is therefore necessary to develop tools for measuring fluctuations of tinnitus perception over time and for analyzing data on single subject basis. However, this type of longitudinal measurement is difficult to perform using the traditional research methods such as paper-and-pencil questionnaires or clinical interviews. Ecological momentary assessment (EMA) represents a research concept that allows the assessment of subjective measurements under real-life conditions using portable electronic devices and thereby enables the researcher to collect longitudinal data under real-life conditions and high cost efficiency. Here we present a new method for recording the longitudinal development of tinnitus perception using a modern smartphone application available for iOS and Android devices with no costs for the users. The TrackYourTinnitus (TYT) app is available and maintained since April 2014. A number of 857 volunteers with an average age of 44.1 years participated in the data collection between April 2014 and February 2016. The mean tinnitus distress at the initial measurement was rated on average 13.9 points on the Mini-Tinnitus Questionnaire (Mini-TQ; max. 24 points). Importantly, we could demonstrate that the regular use of the TYT app has no significant negative influence on the perception of the tinnitus loudness nor on the tinnitus distress. The TYT app can therefore be proposed as a safe instrument for the longitudinal assessment of tinnitus perception in the everyday life of the patient.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2709/5156957/38064031706d/fnagi-08-00294-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2709/5156957/5dbab9321290/fnagi-08-00294-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2709/5156957/ee265525e481/fnagi-08-00294-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2709/5156957/a7979650014d/fnagi-08-00294-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2709/5156957/38064031706d/fnagi-08-00294-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2709/5156957/5dbab9321290/fnagi-08-00294-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2709/5156957/ee265525e481/fnagi-08-00294-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2709/5156957/a7979650014d/fnagi-08-00294-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2709/5156957/38064031706d/fnagi-08-00294-g0004.jpg

相似文献

[1]
Measuring the Moment-to-Moment Variability of Tinnitus: The TrackYourTinnitus Smart Phone App.

Front Aging Neurosci. 2016-12-15

[2]
Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study.

J Med Internet Res. 2020-6-30

[3]
Using a visual analog scale (VAS) to measure tinnitus-related distress and loudness: Investigating correlations using the Mini-TQ results of participants from the TrackYourTinnitus platform.

Prog Brain Res. 2021

[4]
Daily Contributors of Tinnitus Loudness and Distress: An Ecological Momentary Assessment Study.

Front Neurosci. 2022-7-5

[5]
Towards the Interpretation of Sound Measurements from Smartphones Collected with Mobile Crowdsensing in the Healthcare Domain: An Experiment with Android Devices.

Sensors (Basel). 2021-12-28

[6]
Dealing With Inaccurate Sensor Data in the Context of Mobile Crowdsensing and mHealth.

IEEE J Biomed Health Inform. 2022-11

[7]
Understanding adherence to the recording of ecological momentary assessments in the example of tinnitus monitoring.

Sci Rep. 2020-12-31

[8]
Prediction of Tinnitus Perception Based on Daily Life MHealth Data Using Country Origin and Season.

J Clin Med. 2022-7-22

[9]
Smartphone-Guided Educational Counseling and Self-Help for Chronic Tinnitus.

J Clin Med. 2022-3-25

[10]
Predicting the presence of tinnitus using ecological momentary assessments.

Sci Rep. 2023-6-2

引用本文的文献

[1]
Tinnitus Measured in Everyday Life: A Literature Review of Ecological Momentary Assessment Studies.

J Assoc Res Otolaryngol. 2025-6-9

[2]
Global 10 year ecological momentary assessment and mobile sensing study on tinnitus and environmental sounds.

NPJ Digit Med. 2025-3-13

[3]
Understanding tinnitus symptom dynamics and clinical improvement through intensive longitudinal data.

NPJ Digit Med. 2025-1-14

[4]
Process mining in mHealth data analysis.

NPJ Digit Med. 2024-10-23

[5]
Implementing Ecological Momentary Assessment in Audiological Research: Opportunities and Challenges.

Am J Audiol. 2024-9-3

[6]
[Apps for tinnitus? A systematic review on quality, intervention components, and behavior change techniques].

Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2024-2

[7]
Predicting the presence of tinnitus using ecological momentary assessments.

Sci Rep. 2023-6-2

[8]
Comparing Clustering Methods Applied to Tinnitus within a Bootstrapped and Diagnostic-Driven Semi-Supervised Framework.

Brain Sci. 2023-3-28

[9]
Towards a psychological framework on time perception in patients with chronic tinnitus.

Front Aging Neurosci. 2023-4-17

[10]
Pilot study of a smartphone-based tinnitus therapy using structured counseling and sound therapy: A multiple-baseline design with ecological momentary assessment.

PLOS Digit Health. 2023-1-18

本文引用的文献

[1]
Emotion dynamics and tinnitus: Daily life data from the "TrackYourTinnitus" application.

Sci Rep. 2016-8-4

[2]
Emotional states as mediators between tinnitus loudness and tinnitus distress in daily life: Results from the "TrackYourTinnitus" application.

Sci Rep. 2016-2-8

[3]
Tinnitus: perspectives from human neuroimaging.

Nat Rev Neurosci. 2015-9-16

[4]
Prevalence and Determinants of Tinnitus in the Italian Adult Population.

Neuroepidemiology. 2015-7-14

[5]
Ecological momentary assessment of tinnitus using smartphone technology: a pilot study.

Otolaryngol Head Neck Surg. 2015-5

[6]
The dynamic nature of depression: a new micro-level perspective of mental disorder that meets current challenges.

Psychol Med. 2014-5

[7]
Tinnitus.

Lancet. 2013-7-2

[8]
Chronic tinnitus: an interdisciplinary challenge.

Dtsch Arztebl Int. 2013-4-19

[9]
Current pharmacological treatments for tinnitus.

Expert Opin Pharmacother. 2012-11-4

[10]
Psychometric evaluation of visual analog scale for the assessment of chronic tinnitus.

Am J Audiol. 2012-12

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