Measuring Depression in Young Adults
Preliminary Development of an English Version of the Teate Depression Inventory
Datos Bibliográficos
| ID | 15469262 |
|---|---|
| Autores | Linda Ruan‐iu (0000-0003-4884-7676, Temple University, autor de correspondencia), Laura L Pendergast (0000-0003-1985-2548, Temple University), Pei-Chun Liao (0009-0002-7270-5416, Columbia University Irving Medical Center), Paul Jones (0000-0003-2138-8940, Temple University), Paul C Jones (0000-0002-7754-6189, Temple University), Nathaniel von der Embse (University of South Florida), Nathaniel P von der Embse (0000-0003-2545-7691, University of South Florida), Marco Innamorati (0000-0003-3534-296X, European University of Rome), Michela Balsamo (0000-0001-5396-3853, University of Chieti-Pescara) |
| Año | 2023 |
| Volumen | 20 |
| Número | 15 |
| Páginas | 6470-6470 |
| Fecha de publicación | 2023-07-28 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | International Journal of Environmental Research and Public Health (JOURNAL) |
| Identificadores de la revista | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Editorial | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20156470 |
| PMID | 37569012 |
| OpenAlex | W4385349636 |
| Idioma | EN |
| Citas recibidas | 2 |
| Referencias citadas | 43 |
Depression is a common and debilitating condition that impacts individuals with various cultural backgrounds, medical conditions, and life circumstances. Thus, assessment tools need to be useful among different cultural groups. The 21-item Teate Depression Inventory (TDI) was developed in Italy, is designed to assess major depression, and focuses on cognitive and affective rather than somatic symptoms. This study aims to examine the factor structure and concurrent validity of the TDI English version among a non-clinical population in the United States. Participants included 398 adults (mean age 19.89 years, SD = 2.72, range: 18 to 46 years old) who completed the TDI and The Center for Epidemiologic Studies Depression Scale-Revised (CESD-R). The results supported a three-factor bifactor structure of the TDI (Positive Affect, Negative Affect, and Daily Functioning), which largely corresponds to the Tripartite Model of affective disorders. These findings support the use of TDI scores as measures of depressive symptoms among U.S. young adults, offering researchers and practitioners a brief and useful tool
Affect (linguistics · Center for Epidemiologic Studies Depression Scale · Cognition · Depression (economics · Depressive symptoms · Environmental health · Population · Psychiatry · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes · Child and Adolescent Psychosocial and Emotional Development · Clinical Psychology · Medicine · Mental Health Research Topics · Psychology
Diagnostic and Statistical Manual of Mental Disorders
Case-finding instruments for depression
The prevention and handling of the missing data
The Development of Hierarchical Factor Solutions
Validation of the Center for Epidemiologic Studies Depression Scale—Revised (Cesd-R)
Measurement equivalence
The insidious effects of failing to include design-driven correlated residuals in latent-variable covariance structure analysis.
Tripartite model of anxiety and depression
Depression and Quality of Life in Older Persons
Testing a tripartite model
Estimating Generalizability to a Latent Variable Common to All of a Scale's Indicators
The Hospital Anxiety and Depression Scale
The PHQ-9
The Rediscovery of Bifactor Measurement Models
Anger and Depression
Scale Development Research
Chronic pain and depression
Alternative Ways of Assessing Model Fit
| Obras citantes distintas | 2 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2024 - 2026 (3) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 2 |