Patterns of adverse childhood experiences and associations with lower mental well-being among university students
Background: University students report high levels of adverse childhood experiences (ACEs), which can lead to severe mental health problems. Understanding how ACEs impact well-being in this population is essential, yet research to date is limited. Objective: To explore ACE patterns and their associa...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de Barcelona |
| Repositorio: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/217155 |
| Acceso en línea: | https://hdl.handle.net/2445/217155 |
| Access Level: | acceso abierto |
| Palabra clave: | Estudiants universitaris Salut mental Psicopatologia Infància Traumes psíquics College students Mental health Pathological psychology Childhood Psychic trauma |
| Sumario: | Background: University students report high levels of adverse childhood experiences (ACEs), which can lead to severe mental health problems. Understanding how ACEs impact well-being in this population is essential, yet research to date is limited. Objective: To explore ACE patterns and their association with lower well-being in university students. Participants and setting1023 Spanish students (71.6 % female) aged between 18 and 64 years old (M = 20.10, SD = 3.93) completed a self-report questionnaire. Methods: This study used a cross-sectional design. The ACE International Questionnaire (ACE-IQ) and the Short Warwick-Edinburgh Mental Well being Scale were used to assess, respectively, childhood adversities and mental well being. Latent Class Analysis and regression modeling were conducted to analyze the link between ACEs and lower mental well-being, considering the covariates of age, country of origin, sexual orientation, and mental illness. Results: Four ACE classes were identified: Low ACEs (49.5 %), Dysfunctional Household (12.3 %), Household and Peer Abuse (31.0 %), and High ACEs (7.2 %). The regression analysis (F(3, 1007) = 19.2, p < .001, R2adj = 0.054) successfully predicted well-being scores based on ACE classes. When compared with the Low ACE class, all other classes exhibited lower levels of well-being. Age, sexual orientation, and mental illness were also related to lower well-being, with mental illness having the strongest negative effect (β = −0.635, t (1015) = −6.49, p < .001). Conclusions: These findings underscore the relationship between childhood adversity and mental health, offering insights for future prevention efforts and enriching our understanding of ACEs and their impact on well-being. |
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