SynthesisWiener klinische Wochenschrift2018
Prevalence of mental diseases in Austria : Systematic review of the published evidence.
Synthesis in Wiener klinische Wochenschrift, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Antidepressant drug use in Europe: past consumption, prescribing patterns and forecast until 2030.International journal of clinical pharmacy · 2026Article
- Addressing healthcare vulnerabilities in nursing homes : Insights from human rights monitoring in two Austrian provinces.Wiener klinische Wochenschrift · 2025Article
- Investigating the Added Value of Beck's Depression Inventory in Atherosclerosis Prediction: Lessons from Paracelsus 10,000.Journal of clinical medicine · 2024Article
- Higher Prevalence of Adverse Childhood Experiences in Transgender Than in Cisgender Individuals: Results from a Single-Center Observational Study.Journal of clinical medicine · 2023Article
- Large improvement of mental health during in outpatient short-term group psychotherapy treatment-a naturalistic pre-/post-observational study.Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater · 2023Observational
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- The excess economic burden of mental disorders: findings from a cross-sectional prevalence survey in Austria.The European journal of health economics : HEPAC : health economics in prevention and care · 2020Article
- Depressive Symptoms, Lack of Physical Activity, and Their Combination Towards Health Care Utilisation Frequency.International journal of environmental research and public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAddressing the growing burden of mental diseases is a public health priority. Nevertheless, many countries lack reliable estimates of the proportion of the population affected, which are crucial for health and social policy planning. This study aimed to collect existing evidence on the prevalence of mental diseases in Austria.
methodsA systematic review was conducted using MeSH, EMTREE and free-text terms in seven bibliographic databases. In addition, the references of included papers and relevant Austria-specific websites were searched. Articles published after 1996 pertaining to the Austrian adult population and presenting prevalence data for mental diseases were included in the analysis.
resultsA total of 2612 records were identified in the database search, 19 of which were included in the analysis, 13 were community-based studies and 6 examined institutionalized populations. Sample sizes ranged from 200 to 15,474. The evidence was centered around depression (n = 6, 32%), eating disorders (n = 4, 21%) and alcohol dependence (n = 3, 16%). While most studies (n = 10, 53%) used questionnaires and scales to identify mental diseases, seven studies used structured clinical interviews, and two studies examined use of psychotropic drugs. Due to the diversity of methodologies, no statistical pooling of prevalence estimates was possible.
conclusionInformation on the prevalence of mental diseases in Austria is limited and comparability between studies is restricted. A variety of diagnostic instruments, targeted populations and investigated diseases contribute to discrepancies in the prevalence rates. A systematic, large-scale study on the prevalence of mental diseases in Austria is needed for comprehensive and robust epidemiological evidence.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.