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Titel: Gender-specific differences in patients with chronic tinnitus-baseline characteristics and treatment effects
Autor(en): Niemann, UliIn der Gemeinsamen Normdatei der DNB nachschlagen
Boecking, Benjamin
Brueggemann, Petra
Mazurek, Birgit
Spiliopoulou, MyraIn der Gemeinsamen Normdatei der DNB nachschlagen
Erscheinungsdatum: 2020
Art: Artikel
Sprache: Englisch
URN: urn:nbn:de:gbv:ma9:1-1981185920-389377
Schlagwörter: Gender
Treatment response
Machine learning models
Tinnitus
Gender-influence on diagnostics
Zusammenfassung: Whilst some studies have identified gender-specific differences, there is no consensus about gender-specific determinants for prevalence rates or concomitant symptoms of chronic tinnitus such as depression or anxiety. However, gender-associated differences in psychological response profiles and coping strategies may differentially affect tinnitus chronification and treatment success rates. Thus, understanding gender-associated differences may facilitate a more detailed identification of symptom profiles, heighten treatment response rates, and help to create access for vulnerable populations that are potentially less visible in clinical settings. Our research questions are: RQ1: how do male and female tinnitus patients differ regarding tinnitus-related distress, depression severity, and treatment response, RQ2: to what extent are answers to questionnaires administered at baseline associated with gender, and RQ3: which baseline questionnaire items are associated with tinnitus distress, depression, and treatment response, while relating to one gender only? In this work, we present a data analysis workflow to investigate gender-specific differences in N = 1,628 patients with chronic tinnitus (828 female, 800 male) who completed a 7-day multimodal treatment encompassing cognitive behavioral therapy (CBT), physiotherapy, auditory attention training, and information counseling components. For this purpose, we extracted 181 variables from 7 self-report questionnaires on socio-demographics, tinnitus-related distress, tinnitus frequency, loudness, localization, and quality as well as physical and mental health status. Our workflow comprises (i) training machine learning models, (ii) a comprehensive evaluation including hyperparameter optimization, and (iii) post-learning steps to identify predictive variables. We found that female patients reported higher levels of tinnitus-related distress, depression and response to treatment (RQ1). Female patients indicated higher levels of tension, stress, and psychological coping strategies rates. By contrast, male patients reported higher levels of bodily pain associated with chronic tinnitus whilst judging their overall health as better (RQ2). Variables measuring depression, sleep problems, tinnitus frequency, and loudness were associated with tinnitus-related distress in both genders and indicators of mental health and subjective stress were found to be associated with depression in both genders (RQ3). Our results suggest that gender-associated differences in symptomatology and treatment response profiles suggest clinical and conceptual needs for differential diagnostics, case conceptualization and treatment pathways.
URI: https://opendata.uni-halle.de//handle/1981185920/38937
http://dx.doi.org/10.25673/38691
Open-Access: Open-Access-Publikation
Nutzungslizenz: (CC BY 4.0) Creative Commons Namensnennung 4.0 International(CC BY 4.0) Creative Commons Namensnennung 4.0 International
Sponsor/Geldgeber: OVGU-Publikationsfonds 2020
Journal Titel: Frontiers in neuroscience
Verlag: Frontiers Research Foundation
Verlagsort: Lausanne
Band: 14
Heft: 2020
Originalveröffentlichung: 10.3389/fnins.2020.00487
Seitenanfang: 1
Seitenende: 11
Enthalten in den Sammlungen:Fakultät für Informatik (OA)

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