Literature DB >> 30600352

Mean age and gender distribution of patients with major mental disorders participating in clinical trials.

Borwin Bandelow1, Katharina Schüller2.   

Abstract

The mean age and gender distribution of patients seeking help for mental disorders have not yet been investigated systematically. Epidemiological surveys can provide data on gender distribution of disorders and an age range in which a disorder is most frequent, but do not offer data on the average help-seeking patient, and they are usually conducted by lay interviewers with non-clinical subjects. However, this information on age and gender can be simply extracted from randomized clinical trials (RCTs) in which consecutive clinical patients are included. As it can be assumed that the average patient tends to participate in a clinical trial when her/his illness severity has reached its highpoint, the mean age of patients in RCTs is a good estimator of the peak severity of a disorder. In RCTs, diagnoses are made by psychiatrists and only clinical patients fulfilling a minimum degree of severity are included. From 10.465 records found by electronic and hand search, we extracted 832 eligible RCTs with 151,336 patients with the 19 most relevant mental disorders. We provide a table with the mean age, standard deviation and gender distributions of all major mental disorders. These results can be used in scientific articles and educational materials and can help health care providers or researchers planning treatment programs. Patients can be informed about the natural course of the disorder. By determining the reasons why some disorders occur predominantly in a certain age or have an unbalanced gender distribution information the aetiology of these disorders may further be elucidated.

Entities:  

Keywords:  Gender; Mean age; Mental disorders; Randomized controlled studies

Mesh:

Year:  2019        PMID: 30600352     DOI: 10.1007/s00406-018-0972-5

Source DB:  PubMed          Journal:  Eur Arch Psychiatry Clin Neurosci        ISSN: 0940-1334            Impact factor:   5.270


  3 in total

Review 1.  Internet psychotherapeutic interventions for anxiety disorders - a critical evaluation.

Authors:  Borwin Bandelow; Dirk Wedekind
Journal:  BMC Psychiatry       Date:  2022-06-29       Impact factor: 4.144

2.  The German Guidelines for the treatment of anxiety disorders: first revision.

Authors:  Borwin Bandelow; Antonia M Werner; Ina Kopp; Sebastian Rudolf; Jörg Wiltink; Manfred E Beutel
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2021-10-05       Impact factor: 5.760

3.  ENgage YOung people earlY (ENYOY): a mixed-method study design for a digital transdiagnostic clinical - and peer- moderated treatment platform for youth with beginning mental health complaints in the Netherlands.

Authors:  M van Doorn; A Popma; T van Amelsvoort; C McEnery; J F Gleeson; F G Ory; Jaspers M W M; M Alvarez-Jimenez; D H Nieman
Journal:  BMC Psychiatry       Date:  2021-07-23       Impact factor: 3.630

  3 in total

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