David Steyrl
Biographic Data
| ID | 182629 |
|---|---|
| NAME | David Steyrl |
| GIVEN NAMES | David |
| FAMILY NAME | Steyrl |
| SIGNATURE | STEYRL D |
| AFFILIATIONS | University of Vienna |
| ORCID | 0000-0002-3215-8115 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Study protocol for the Rainbow Austrian Longitudinal Family (Ralf) study
The RALF study is the first prospective study to comprehensively investigate minority-specific risk and resilience factors in Austrian LGBTQ+ parent families. Findings have the potential to fill key research gaps, inform policy, and guide clinical practices that support LGBTQ+ parent families
Minority stress and structural stigma predict well‐being in European LGBTQ + parents
Objective This study tested whether exposure to minority stress and structural stigma across multiple levels of the family system were associated with two indicators of well‐being (life satisfaction, depressive symptoms) in LGBTQ+ parents across 19 European countries. Background Minority stress (i.e., identity‐based stress resulting from systemic oppression) and structural stigma (i.e., hostile legal environments, prejudicial social attitudes) ar…
Measuring the semantic priming effect across many languages
The help-seeking process and predictors of mental health care use among individuals with depressive symptoms
Purpose: The goal of the study was to identify the most important influences on professional healthcare use of people with depressive symptoms. We incorporated findings from research areas of health behaviors, stigma, and motivation to predict the help-seeking process variables from a wide range of personal factors and attitudes. Methods: A sample of 1,368 adults with untreated depressive symptoms participated in an online survey with three-and s…
Machine learning models predict PTSD severity and functional impairment
Our results reinforce that dissociation, cooccurring anxiety and depressive symptoms, maladaptive trauma appraisals, cognitive dysfunction, and emotion dysregulation are critical targets for trauma-related interventions. Machine learning models can inform personalized medicine approaches to maximize trauma recovery in real-world inpatient populations. (PsycInfo Database Record (c) 2025 APA, all rights reserved)
No prominent works on this page.
Machine learning models predict PTSD severity and functional impairment
Our results reinforce that dissociation, cooccurring anxiety and depressive symptoms, maladaptive trauma appraisals, cognitive dysfunction, and emotion dysregulation are critical targets for trauma-related interventions. Machine learning models can inform personalized medicine approaches to maximize trauma recovery in real-world inpatient populations. (PsycInfo Database Record (c) 2025 APA, all rights reserved)
The help-seeking process and predictors of mental health care use among individuals with depressive symptoms
Purpose: The goal of the study was to identify the most important influences on professional healthcare use of people with depressive symptoms. We incorporated findings from research areas of health behaviors, stigma, and motivation to predict the help-seeking process variables from a wide range of personal factors and attitudes. Methods: A sample of 1,368 adults with untreated depressive symptoms participated in an online survey with three-and s…
Study protocol for the Rainbow Austrian Longitudinal Family (Ralf) study
The RALF study is the first prospective study to comprehensively investigate minority-specific risk and resilience factors in Austrian LGBTQ+ parent families. Findings have the potential to fill key research gaps, inform policy, and guide clinical practices that support LGBTQ+ parent families
Minority stress and structural stigma predict well‐being in European LGBTQ + parents
Objective This study tested whether exposure to minority stress and structural stigma across multiple levels of the family system were associated with two indicators of well‐being (life satisfaction, depressive symptoms) in LGBTQ+ parents across 19 European countries. Background Minority stress (i.e., identity‐based stress resulting from systemic oppression) and structural stigma (i.e., hostile legal environments, prejudicial social attitudes) ar…
Measuring the semantic priming effect across many languages
Psychology (4 works) · Medicine (3 works) · Psychiatry (3 works) · Anxiety (2 works) · Clinical Psychology (2 works) · Cognition (2 works) · Developmental psychology (2 works) · LGBTQ Health, Identity, and Policy (2 works) · Mental health (2 works) · Mental Health via Writing (2 works)