Changes in depression stigma after the Germanwings crash – Findings from German population surveys

Knesebeck, Olaf von dem; Angermeyer, M. C.; Kofahl, Christopher; Makowski, Anna Christin

doi:10.1016/j.jad.2015.07.029

Cited by 26 publications

(25 citation statements)

References 29 publications

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“…Seafarers, long-distance drivers, and pilots may also benefit from an emotion aware monitoring system. Pilots must control their emotions to ensure flight safety [30]. Similarly, drivers are expected to keep control of their emotions, and know how to deal with emotions.…”

Section: Emotion Recognition Results and Discussionmentioning

confidence: 99%

Emotion Recognition from Multimodal Physiological Signals for Emotion Aware Healthcare Systems

2020

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The purpose of this paper is to propose a novel emotion recognition algorithm from multimodal physiological signals for emotion aware healthcare systems. In this work, physiological signals are collected from a respiratory belt (RB), photoplethysmography (PPG), and fingertip temperature (FTT) sensors. These signals are used as their collection becomes easy with the advance in ergonomic wearable technologies. Methods Arousal and valence levels are recognized from the fused physiological signals using the relationship between physiological signals and emotions. This recognition is performed using various machine learning methods such as random forest, support vector machine and logistic regression. The performance of these methods is studied. Results Using decision level fusion, the accuracy improved from 69.86 to 73.08% for arousal, and from 69.53 to 72.18% for valence. Results indicate that using multiple sources of physiological signals and their fusion increases the accuracy rate of emotion recognition. Conclusion This study demonstrated a framework for emotion recognition using multimodal physiological signals from respiratory belt, photo plethysmography and fingertip temperature. It is shown that decision level fusion from multiple classifiers (one per signal source) improved the accuracy rate of emotion recognition both for arousal and valence dimensions.

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Section: Emotion Recognition Results and Discussionmentioning

confidence: 99%

Emotion Recognition from Multimodal Physiological Signals for Emotion Aware Healthcare Systems

2020

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“…While reports about the suicide itself led to national and international copycat effects (Hegerl et al, 2013;Koburger et al, 2015), stigma seems not to be influenced by such events to a great extent. Recent findings point to rather small effects on increasing public stigma towards mental illness after significant single events: the crash of a Germanwings airplane in Germany (2015), where a mentally ill pilot purposefully provoked the crash of the airbus along with approximately 150 passengers or a celebrity suicide in Germany (2009) (dem Knesebeck et al, 2015Schomerus et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Public attitudes toward depression and help-seeking: Impact of the OSPI-Europe depression awareness campaign in four European regions

Kohls

Coppens

Hug

et al. 2017

Journal of Affective Disorders

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“…During the CATI, the allocation of vignettes was carried out program-controlled to ensure an even and random distribution of vignette types. The vignette was developed with the input of experienced clinicians based on the Diagnostic and Statistical Manual of mental diseases (DSM IV) and the International Classification of Diseases (ICD 10) criteria and had also been used in previous research to elicit attitudes toward individuals with depression [ 23 , 24 ]. In order to increase reliability and counteract possible interviewer effects, the vignette was audio-recorded by a trained speaker.…”

Section: Methodsmentioning

confidence: 99%

Depression stigma and migration – results of a survey from Germany

Makowski

Knesebeck

2017

BMC Psychiatry

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BackgroundThere are barely any studies focusing on migration in relation to mental illness stigma. We explore present attitudes regarding depression among migrants (either born in Germany or born abroad) and non-migrants in Germany, drawing upon three components of public stigma: stereotypes, emotional reactions and desire for social distance. Furthermore, differences in self-stigma of depression between the two groups are analyzed.MethodsAnalyses are based on a representative telephone survey (N = 2013) in Germany. Respondents were presented with a vignette depicting either someone from Turkey or from Germany affected by depression, followed by questions on stereotypes, emotional reactions and desire for social distance. The (anticipated) self-stigma of depression was also assessed. Analyses of variance tested for differences between migrant and non-migrant respondents, stratified by migrant status in the vignette.ResultsRegarding the depression vignette depicting a non-migrant, there were only few differences between subgroups. However, when presented with a vignette describing someone from Turkey, respondents with migrant background who were foreign-born expressed greater stigmatizing attitudes, e.g. when it comes to stereotypes or desire for social distance. Furthermore, this subsample displayed higher levels of self-stigma of depression, especially regarding the ascription of own responsibility.ConclusionsThe results underline the need to incorporate migration status/ethnicity in stigma research. Differences in attitudes as well as in (anticipated) self-stigma of depression identify foreign-born migrants in Germany as important target groups for tailored anti-stigma interventions, which need to consider diverse cultural backgrounds.Electronic supplementary materialThe online version of this article (10.1186/s12888-017-1549-y) contains supplementary material, which is available to authorized users.

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Changes in depression stigma after the Germanwings crash – Findings from German population surveys

Cited by 26 publications

References 29 publications

Emotion Recognition from Multimodal Physiological Signals for Emotion Aware Healthcare Systems

Emotion Recognition from Multimodal Physiological Signals for Emotion Aware Healthcare Systems

Public attitudes toward depression and help-seeking: Impact of the OSPI-Europe depression awareness campaign in four European regions

Depression stigma and migration – results of a survey from Germany

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