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Hintergrund: Depressionen sind häufige, schwere und oft lebensbedrohliche Erkrankungen, bei denen es – trotz sehr guter Behandlungsmethoden – Versorgungslücken gibt. Hierzu tragen Vorbehalte gegen eine leitlinienkonforme pharmako- und/oder psychotherapeutische Behandlung bei. Ziel der Arbeit ist es zu ermitteln, in welchen soziodemographischen Bevölkerungssegmenten diese Vorbehalte besonders ausgeprägt sind.
Methodik: Die Untersuchung basiert auf Online-Befragungen der deutschen Bevölkerung aus den Jahren 2021, 2020 und 2019, darunter 1656 Personen (2021), 1775 Personen (2020) und 1729 Personen (2019) ohne Depressionserfahrungen. Mit einer CHAID-Analyse wurde geprüft, in welchen Bevölkerungssegmenten die Vorbehalte gegen eine leitliniengerechte Behandlung besonders groß sind.
Ergebnisse: Vorbehalte gegen Pharmakotherapie hatten insgesamt 69,8 % der Befragten ohne Depressionserfahrungen. Am größten waren die Vorbehalte unter jüngeren Personen (< 40 Jahre); hier lag der Anteil bei 74,2 %. Vorbehalte gegen Psychotherapie äußerten 31,4 % ohne Depressionserfahrungen; unter Frauen mit geringerer Schulbildung hatten 40,5 % Vorbehalte gegen eine Psychotherapie; unter Männern mit geringerer Schulbildung waren es 39,1 %. Vorbehalte gegen beide Behandlungsformen zeigten 27,7 %. Am größten waren die Vorbehalte unter Männern mit Schulbildung unterhalb der Hochschulreife (34,1 %). Die Ergebnisse sind signifikant (χ2-Test, p < 0,05).
Diskussion: Eine allgemeine Informationsstrategie wäre geeignet, Vorbehalten gegen Pharmakotherapie und Psychotherapie gleichermaßen zu verringern. Für eine spezifische Informationsstrategie müssen die Botschaften hinsichtlich Inhalt und Kommunikationskanälen so gestaltet werden, dass die jüngere Zielgruppe zuverlässig erreicht wird.
Highlights
• A big dataset reveals age-related alterations in EEG biomarkers and cognition.
• Prominent decline of individual alpha peak frequency primarily in temporal lobes.
• A positive association between individual alpha peak frequency and working memory.
• Absence of age-related alpha power decline when controlling for 1/f decay of the PSD.
• Alpha power is negatively associated with the speed of processing in elderly sample.
Abstract
While many structural and biochemical changes in the brain have previously been associated with older age, findings concerning functional properties of neuronal networks, as reflected in their electrophysiological signatures, remain rather controversial. These discrepancies might arise due to several reasons, including diverse factors determining general spectral slowing in the alpha frequency range as well as amplitude mixing between the rhythmic and non-rhythmic parameters. We used a large dataset (N = 1703, mean age 70) to comprehensively investigate age-related alterations in multiple EEG biomarkers taking into account rhythmic and non-rhythmic activity and their individual contributions to cognitive performance. While we found strong evidence for an individual alpha peak frequency (IAF) decline in older age, we did not observe a significant relationship between theta power and age while controlling for IAF. Not only did IAF decline with age, but it was also positively associated with interference resolution in a working memory task primarily in the right and left temporal lobes suggesting its functional role in information sampling. Critically, we did not detect a significant relationship between alpha power and age when controlling for the 1/f spectral slope, while the latter one showed age-related alterations. These findings thus suggest that the entanglement of IAF slowing and power in the theta frequency range, as well as 1/f slope and alpha power measures, might explain inconsistencies reported previously in the literature. Finally, despite the absence of age-related alterations, alpha power was negatively associated with the speed of processing in the right frontal lobe while 1/f slope showed no consistent relationship to cognitive performance. Our results thus demonstrate that multiple electrophysiological features, as well as their interplay, should be considered for the comprehensive assessment of association between age, neuronal activity, and cognitive performance.
Background: Stigma is one of the most significant constraints on people living with depression. There is a lack of validated scales in Portugal to measure depression stigma; therefore, the Depression Stigma Scale (DSS) is essential to the depression stigma research in Portugal.
Methods: We developed the adaptation process with the ITC Guidelines for Translation and Adapting Tests taken into consideration. We collected the sample as part of the OSPI program—Optimizing suicide prevention programs and their implementation in Europe, specifically within the application in Portugal, and included 1693 participants. Floor-ceiling effects and response ranges were analyzed, and we calculated Cronbach alphas, and Confirmatory Analysis. Validity evidence was tested with two well-documented hypotheses, using data on gender and depression symptoms.
Results: The sample was well comparable with the general Portuguese population, indicating its representativeness. We identified a three-factor structure in each subscale (personal and perceived stigma): weak-not-sick, discrimination, and dangerous/unpredictable, with good model fit results. The Cronbach's alphas were satisfactory, and validity was confirmed.
Conclusions: This study established the validity and demonstrated good psychometric properties of the DSS in the Portuguese population. The validation of the DSS can be beneficial in exploring stigma predictors and evaluating the effectiveness of stigma reduction interventions.