Associations of common mental disorder severity with treatment contact and treatment intensity, and its changes over twelve years.

Purpose: To guide formal healthcare resource allocation for common mental disorders (CMDs), this study updates and expands earlier findings on the associations of CMD severity with treatment contact and intensity.

Methods: Baseline data (2019-2022) of NEMESIS-3, a prospective study of a representative cohort of Dutch adults (18-75 years), were used. Severity of 12-month CMDs was assessed with the CIDI 3.

Validity of the five-item mental health inventory for screening current mood and anxiety disorders in the general population.

Objectives: The Mental Health Inventory (MHI-5) is frequently used as a screener for mood and anxiety disorders. However, few population-based studies have validated it against a diagnostic instrument assessing disorders following current diagnostic criteria.

Methods: Within the third Netherlands Mental Health Survey and Incidence Study (NEMESIS-3), a representative population-based study of adults (N = 6194; age: 18-75 years), the MHI-5 was used to measure general mental ill-health in the past month.

Trends and the Gender Gap in the Reporting of Sexual Initiation Among 15-Year-Olds: A Comparison of 33 European Countries.

Early sexual intercourse initiation has been associated with immediate and long-term risks, which makes the study of trends in sexual initiation an important topic for policy makers. This study investigated trends over time in reported sexual initiation among 15-year-olds across 33 countries between 2010-2018. In addition, we examined if there were cross-country differences in the gender gap in reported sexual initiation in 2018, and whether these could be attributed to gender inequality and gender role attitudes.

Context algorithm: evidence that a transdiagnostic framework of contextual clinical characterization is of more clinical value than categorical diagnosis.

Background: A transdiagnostic and contextual framework of 'clinical characterization', combining clinical, psychopathological, sociodemographic, etiological, and other personal contextual data, may add clinical value over and above categorical algorithm-based diagnosis.

Methods: Prediction of need for care and health care outcomes was examined prospectively as a function of the contextual clinical characterization diagnostic framework in a prospective general population cohort ( = 6646 at baseline), interviewed four times between 2007 and 2018 (NEMESIS-2). Measures of need, service use, and use of medication were predicted as a function of any of 13 DSM-IV diagnoses, both separately and in combination with clinical characterization across multiple domains: social circumstances/demographics, symptom dimensions, physical health, clinical/etiological factors, staging, and polygenic risk scores (PRS).