Welcome to PsychiatryAI.com: [PubMed] - Psychiatry AI Latest

Changes in the ability to correctly identify schizophrenia and depression: results from general population surveys in Germany over 30 years

Evidence

Soc Psychiatry Psychiatr Epidemiol. 2024 Apr 7. doi: 10.1007/s00127-024-02660-y. Online ahead of print.

ABSTRACT

PURPOSE: This study aims to examine time trends in the ability to correctly identify schizophrenia and major depression within the German general population from 1990 to 2020, as an indicator of changing mental health literacy (MHL). Additionally, we investigated shifts in the use of stigmatizing language.

METHODS: Our analysis is based on four waves of representative population surveys in Germany in 1990/1993 (West Germany: N = 2044, East Germany: N = 1563), 2001 (N = 5025), 2011 (N = 2455), and 2020 (N = 3042) using identical methodology. Respondents were presented with an unlabelled case vignette describing a person who exhibited symptoms of either schizophrenia or major depression. Participants were then asked to name the problem described in the vignette using an open-ended question.

RESULTS: From 1990/1993 to 2020, correct identification of schizophrenia increased from 18% to 34% and from 27% to 46% for major depression. However, derogatory labels remained constant throughout all survey waves, particularly for schizophrenia (19% in 1990/1993 and 18% in 2020). For depression, more trivializing and potentially devaluing statements were recorded.

CONCLUSION: Despite the increasing use of psychiatric terminology among the general population, the persistence of derogatory labels suggests that improved MHL, reflected in higher recognition rates, may not automatically translate into a reduction in stigmatizing language. With depression, a normalization and trivialization of a severe illness could pose new challenges to people with major depression. Dedicated efforts to combat the stigma of severe mental illness are still needed.

PMID:38583103 | DOI:10.1007/s00127-024-02660-y

Document this CPD Copy URL Button

Google

Google Keep Add to Google Keep

LinkedIn Share Share on Linkedin Share on Linkedin

Estimated reading time: 4 minute(s)

Latest: Psychiatryai.com #RAISR4D

Cool Evidence: Engaging Young People and Students in Real-World Evidence ☀️

Real-Time Evidence Search [Psychiatry]

AI Research [Andisearch.com]

Changes in the ability to correctly identify schizophrenia and depression: results from general population surveys in Germany over 30 years

Copy WordPress Title

🌐 90 Days

Evidence Blueprint

Changes in the ability to correctly identify schizophrenia and depression: results from general population surveys in Germany over 30 years

QR Code

☊ AI-Driven Related Evidence Nodes

(recent articles with at least 5 words in title)

More Evidence

Changes in the ability to correctly identify schizophrenia and depression: results from general population surveys in Germany over 30 years

🌐 365 Days

Floating Tab
close chatgpt icon
ChatGPT

Enter your request.