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Liu J, Teh WL, Tan RHS, Chang SSH, Lau BJ, Chandwani N, Tor PC, Subramaniam M. Evaluating a maladaptive personality-informed model of social support and post-traumatic stress disorder. J Affect Disord 2024; 361:209-216. [PMID: 38821368 DOI: 10.1016/j.jad.2024.05.164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 04/23/2024] [Accepted: 05/28/2024] [Indexed: 06/02/2024]
Abstract
BACKGROUND Social support is a robust predictor of post-traumatic stress disorder (PTSD). Although the inverse relationship between perceived social support and PTSD (social causation model) is supported, less is understood about the antecedents of the social causation model. Further, there is limited research in non-Western psychiatric populations that experience elevated rates of trauma and PTSD (e.g., mood disorders). The present study evaluated whether cumulative traumatic life events influenced current PTSD symptoms through maladaptive personality traits and perceptions of social support among Asian patients with mood disorders. METHODS A total of 200 Asian patients (77.5 % Chinese) with mood disorders were assessed for maladaptive personality traits, perceptions of social support, cumulative traumatic life events, PTSD, and depressive symptoms. Structural equation modelling was conducted to evaluate the extended social causation model. RESULTS The extended social causation model demonstrated acceptable fit to the data (Comparative Fit Index [CFI] = 0.90; absolute Root Mean Square Error of Approximation [RMSEA] = 0.08). There were significant indirect effects of cumulative traumatic life events on current PTSD symptoms (β = 0.29, p < .001; 85 % variance explained) and depressive symptoms (β = 0.28, p < .001; 69 % variance explained). LIMITATIONS Results may not be generalizable beyond the Singapore population due to the socio-cultural and environmental context. CONCLUSIONS The present findings provide conceptual support for a maladaptive personality-informed model of social support and PTSD, which could better inform trauma-focused interventions in preventing and treating the debilitating effects of PTSD in psychiatric populations.
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Affiliation(s)
- Jianlin Liu
- Research Division, Institute of Mental Health, Singapore.
| | - Wen Lin Teh
- Research Division, Institute of Mental Health, Singapore
| | | | | | - Boon Jia Lau
- Department of Mood & Anxiety, Institute of Mental Health, Singapore
| | - Nisha Chandwani
- Department of Mood & Anxiety, Institute of Mental Health, Singapore
| | - Phern Chern Tor
- Department of Mood & Anxiety, Institute of Mental Health, Singapore
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Martínez-Cao C, García-Fernández A, González-Blanco L, Zurrón-Madera P, Sáiz PA, García-Portilla MP, Bobes J. What factors should we modify to promote high functioning and prevent functional decline in people with schizophrenia? Front Psychiatry 2023; 14:1181758. [PMID: 37333927 PMCID: PMC10272392 DOI: 10.3389/fpsyt.2023.1181758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 05/15/2023] [Indexed: 06/20/2023] Open
Abstract
Background Since research in schizophrenia mainly focuses on deficits and risk factors, we need studies searching for high-functioning protective factors. Thus, our objective was to identify protective (PFs) and risk factors (RFs) separately associated with high (HF) and low functioning (LF) in patients with schizophrenia. Methods We collected information (sociodemographic, clinical, psychopathological, cognitive, and functional) from 212 outpatients with schizophrenia. Patients were classified according to their functional level (PSP) as HF (PSP > 70, n = 30) and LF (PSP ≤ 50, n = 95). Statistical analysis consisted of Chi-square test, Student's t-test, and logistic regression. Results HF model: variance explained: 38.4-68.8%; PF: years of education (OR = 1.227). RFs: receiving a mental disability benefit (OR = 0.062) and scores on positive (OR = 0.719), negative-expression (OR = 0.711), and negative-experiential symptoms (OR = 0.822), and verbal learning (OR = 0.866). LF model: variance explained: 42.0-56.2%; PF: none; RFs: not working (OR = 6.900), number of antipsychotics (OR = 1.910), and scores on depressive (OR = 1.212) and negative-experiential symptoms (OR = 1.167). Conclusion We identified specific protective and risk factors for high and low functioning in patients with schizophrenia and confirmed that high functioning factors are not necessarily the opposite of those associated with low functioning. Only negative experiential symptoms are a shared and inverse factor for high and low functioning. Mental health teams must be aware of protective and risk factors and try to enhance or reduce them, respectively, to help their patients improve or maintain their level of functioning.
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Affiliation(s)
- Clara Martínez-Cao
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
| | - Ainoa García-Fernández
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
| | - Leticia González-Blanco
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA) Oviedo, Oviedo, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | - Paula Zurrón-Madera
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA) Oviedo, Oviedo, Spain
| | - Pilar A. Sáiz
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA) Oviedo, Oviedo, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | - María Paz García-Portilla
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA) Oviedo, Oviedo, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | - Julio Bobes
- Department of Psychiatry, Universidad de Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA) Oviedo, Oviedo, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
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