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Differential associations of childhood adversity subtypes and psychopathology in men and women
- T. Prachason, I. Mutlu, L. Fusar-Poli, C. Menne-Lothmann, J. Decoster, R. van Winkel, D. Collip, P. Delespaul, M. De Hert, C. Derom, E. Thiery, N. Jacobs, M. Wichers, J. van Os, B. P. F. Rutten, L.-K. Pries, S. Gülöksüz
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- Journal:
- European Psychiatry / Volume 66 / Issue S1 / March 2023
- Published online by Cambridge University Press:
- 19 July 2023, pp. S80-S81
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Introduction
Prior evidence suggests that men and women might be differentially susceptible to distinct types of childhood adversity (CA), but research on gender-specific associations between CA subtypes and psychiatric symptoms is limited.
ObjectivesTo test the gender-specific associations of CA subtypes and psychiatric symptoms in the general population.
MethodsData from 791 twins and siblings from the TwinssCan project were used. Psychopathology and CA exposure were assessed using the Symptom Checklist-90 Revised (SCL-90) and the Childhood Trauma Questionnaire (CTQ), respectively. The associations between the total CTQ scores and SCL-90 scores (i.e. total SCL-90, psychoticism, paranoid ideation, anxiety, depression, somatization, obsessive-compulsive, interpersonal sensitivity, hostility, and phobic anxiety) were tested in men and women separately. The associations between the five CA subtypes (i.e. physical abuse, emotional abuse, sexual abuse, physical neglect, and emotional neglect) and total SCL-90 were tested in a mutually adjusted model. As exploratory analyses, the associations between all CA subtypes and the nine SCL-90 subdomain scores were similarly tested. The regression coefficients between men and women were compared using Chow’s test. All models were adjusted for age and family structure.
ResultsTotal CTQ was significantly associated with total SCL-90 in men (B = 0.013, SE = 0.003, P < .001) and women (B = 0.011, SE = 0.002, P < .001). The associations with the nine symptom domains were also significant in both genders (P < .001). No significant gender differences in the regression coefficients of total CTQ were detected. The analyses of CA subtypes showed a significant association between emotional abuse and total SCL-90 in women (B = 0.173, SE = 0.030, P < .001) and men (B = 0.080, SE = 0.035, P = .023), but the association was significantly stronger in women (ꭓ2(1) = 4.10, P = .043). The association of sexual abuse and total SCL-90 was only significant in women (B = 0.217, SE = 0.053, P < .001). The associations of emotional neglect (B = 0.061, SE = 0.027, P = .026) and physical neglect (B = 0.167, SE = 0.043, P < .001) with total SCL-90 were only significant in men. The explorative analyses of SCL-90 subdomains revealed significant associations of emotional abuse with all nine symptom domains and of sexual abuse with seven symptom domains in women. Significant associations of physical neglect with six symptom domains and of emotional neglect with depression were also detected in men. No other significant associations between CT subtypes and total SCL-90 or symptom domain scores were observed in men and women.
ConclusionsCA exposure was associated with diverse psychopathology similarly in both genders. However, women are more sensitive to abuse, but men are more sensitive to neglect. Gender-specific influences of CA subtypes on psychopathology should be considered in future studies.
Disclosure of InterestNone Declared
Longitudinal association between exposome score for schizophrenia and clinical features: results from the Athens First-Episode Psychosis Research Study
- G. Erzin, L. Pries, S. Dimitrakopoulos, I. Ralli, L.-A. Xenaki, R.F. Soldatos, I. Vlachos, M. Selakovic, S. Foteli, I. Kosteletos, N. Nianiakas, L. Mantonakis, E. Rizos, K. Kollias, J. Os, S. Guloksuz, N. Stefanis
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- Journal:
- European Psychiatry / Volume 65 / Issue S1 / June 2022
- Published online by Cambridge University Press:
- 01 September 2022, p. S760
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Introduction
Previously, environmental vulnerability for schizophrenia assessed through exposome score for schizophrenia (ES-SCZ) was associated with the risk for psychosis development.
ObjectivesThe current study aims to investigate the longitudinal association between ES-SCZ and symptom severity in individuals with first episode psychosis (FEP) to understand how environmental exposures affect illness course.
MethodsBaseline and 1-month follow-up assessments were available for 225 individuals with FEP from the Athens FEP Research Study. The Positive and Negative Syndrome Scale (PANSS) was used to measure clinical features. In accordance with previous reports, the ES-SCZ was calculated by summing log-odds weighted environmental exposures (childhood adversities, winter birth, and cannabis use). To model the course of clinical features over time the effects of the ES-SCZ-by-time interaction, ES-SCZ, and time were analyzed with multilevel regression analyses. Age, sex, and education were added as covariates
ResultsThe analyses of change of PANSS total score over time indicated that clinical features decreased from baseline to the 1-month follow-up assessment. The association between ES-SCZ and PANSS total score were not statistically significant. The analyses of the PANSS total score over time indicated an ES-SCZ-by-time interaction (B = 2.82 [95% CI 0.28; 5.35], P-value = 0.029), meaning the decrease of the PANSS total score over time were dependent on ES-SCZ and individuals with high ES-SCZ showed less improvement
ConclusionsThe findings show that the total environmental predisposition to schizophrenia (ES-SCZ) not only increases the risk for psychosis development but may also influences the illness course.
DisclosureNo significant relationships.
Examining the independent and joint effects of genomic and exposomic liabilities for schizophrenia across the psychosis spectrum
- L.-K. Pries, G. A. Dal Ferro, J. van Os, P. Delespaul, G. Kenis, B. D. Lin, J. J. Luykx, A. L. Richards, B. Akdede, T. Binbay, V. Altınyazar, B. Yalınçetin, G. Gümüş-Akay, B. Cihan, H. Soygür, H. Ulaş, E. Şahin Cankurtaran, S. Ulusoy Kaymak, M. M. Mihaljevic, S. Andric Petrovic, T. Mirjanic, M. Bernardo, G. Mezquida, S. Amoretti, J. Bobes, P. A. Saiz, M. Paz García-Portilla, J. Sanjuan, E. J. Aguilar, J. L. Santos, E. Jiménez-López, M. Arrojo, A. Carracedo, G. López, J. González-Peñas, M. Parellada, N. P. Maric, C. Atbaşoğlu, A. Ucok, K. Alptekin, M. Can Saka, Genetic Risk and Outcome of Psychosis (GROUP) investigators, C. Arango, M. O'Donovan, S. Tosato, B. P. F. Rutten, S. Guloksuz
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- Journal:
- Epidemiology and Psychiatric Sciences / Volume 29 / 2020
- Published online by Cambridge University Press:
- 17 November 2020, e182
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Aims
Psychosis spectrum disorder has a complex pathoetiology characterised by interacting environmental and genetic vulnerabilities. The present study aims to investigate the role of gene–environment interaction using aggregate scores of genetic (polygenic risk score for schizophrenia (PRS-SCZ)) and environment liability for schizophrenia (exposome score for schizophrenia (ES-SCZ)) across the psychosis continuum.
MethodsThe sample consisted of 1699 patients, 1753 unaffected siblings, and 1542 healthy comparison participants. The Structured Interview for Schizotypy-Revised (SIS-R) was administered to analyse scores of total, positive, and negative schizotypy in siblings and healthy comparison participants. The PRS-SCZ was trained using the Psychiatric Genomics Consortiums results and the ES-SCZ was calculated guided by the approach validated in a previous report in the current data set. Regression models were applied to test the independent and joint effects of PRS-SCZ and ES-SCZ (adjusted for age, sex, and ancestry using 10 principal components).
ResultsBoth genetic and environmental vulnerability were associated with case-control status. Furthermore, there was evidence for additive interaction between binary modes of PRS-SCZ and ES-SCZ (above 75% of the control distribution) increasing the odds for schizophrenia spectrum diagnosis (relative excess risk due to interaction = 6.79, [95% confidential interval (CI) 3.32, 10.26], p < 0.001). Sensitivity analyses using continuous PRS-SCZ and ES-SCZ confirmed gene–environment interaction (relative excess risk due to interaction = 1.80 [95% CI 1.01, 3.32], p = 0.004). In siblings and healthy comparison participants, PRS-SCZ and ES-SCZ were associated with all SIS-R dimensions and evidence was found for an interaction between PRS-SCZ and ES-SCZ on the total (B = 0.006 [95% CI 0.003, 0.009], p < 0.001), positive (B = 0.006 [95% CI, 0.002, 0.009], p = 0.002), and negative (B = 0.006, [95% CI 0.004, 0.009], p < 0.001) schizotypy dimensions.
ConclusionsThe interplay between exposome load and schizophrenia genetic liability contributing to psychosis across the spectrum of expression provide further empirical support to the notion of aetiological continuity underlying an extended psychosis phenotype.
A replication study of JTC bias, genetic liability for psychosis and delusional ideation
- Cécile Henquet, Jim van Os, Lotta K. Pries, Christian Rauschenberg, Philippe Delespaul, Gunter Kenis, Jurjen J. Luykx, Bochao D. Lin, Alexander L. Richards, Berna Akdede, Tolga Binbay, Vesile Altınyazar, Berna Yalınçetin, Güvem Gümüş-Akay, Burçin Cihan, Haldun Soygür, Halis Ulaş, Eylem S. Cankurtaran, Semra U. Kaymak, Marina M. Mihaljevic, Sanja S. Petrovic, Tijana Mirjanic, Miguel Bernardo, Gisela Mezquida, Silvia Amoretti, Julio Bobes, Pilar A. Saiz, Maria P. García-Portilla, Julio Sanjuan, Eduardo J. Aguilar, Jose L. Santos, Estela Jiménez-López, Manuel Arrojo, Angel Carracedo, Gonzalo López, Javier González-Peñas, Mara Parellada, Nadja P. Maric, Cem Atbaşoğlu, Alp Ucok, Köksal Alptekin, Meram C. Saka, Celso Arango, Michael O'Donovan, Bart P.F. Rutten, Sinan Gülöksüz
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- Journal:
- Psychological Medicine / Volume 52 / Issue 9 / July 2022
- Published online by Cambridge University Press:
- 13 October 2020, pp. 1777-1783
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Background
This study attempted to replicate whether a bias in probabilistic reasoning, or ‘jumping to conclusions’(JTC) bias is associated with being a sibling of a patient with schizophrenia spectrum disorder; and if so, whether this association is contingent on subthreshold delusional ideation.
MethodsData were derived from the EUGEI project, a 25-centre, 15-country effort to study psychosis spectrum disorder. The current analyses included 1261 patients with schizophrenia spectrum disorder, 1282 siblings of patients and 1525 healthy comparison subjects, recruited in Spain (five centres), Turkey (three centres) and Serbia (one centre). The beads task was used to assess JTC bias. Lifetime experience of delusional ideation and hallucinatory experiences was assessed using the Community Assessment of Psychic Experiences. General cognitive abilities were taken into account in the analyses.
ResultsJTC bias was positively associated not only with patient status but also with sibling status [adjusted relative risk (aRR) ratio : 4.23 CI 95% 3.46–5.17 for siblings and aRR: 5.07 CI 95% 4.13–6.23 for patients]. The association between JTC bias and sibling status was stronger in those with higher levels of delusional ideation (aRR interaction in siblings: 3.77 CI 95% 1.67–8.51, and in patients: 2.15 CI 95% 0.94–4.92). The association between JTC bias and sibling status was not stronger in those with higher levels of hallucinatory experiences.
ConclusionsThese findings replicate earlier findings that JTC bias is associated with familial liability for psychosis and that this is contingent on the degree of delusional ideation but not hallucinations.
Application of network methods for understanding mental disorders: pitfalls and promise
- S. Guloksuz, L-K. Pries, J. van Os
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- Psychological Medicine / Volume 47 / Issue 16 / December 2017
- Published online by Cambridge University Press:
- 05 June 2017, pp. 2743-2752
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Galvanized with the availability of sophisticated statistical techniques and large datasets, network medicine has emerged as an active area of investigation. Following this trend, network methods have been utilized to understand the interplay between symptoms of mental disorders. This realistic approach that may provide an improved framework into understanding mental conditions and underlying mechanisms is certainly to be welcomed. However, we have noticed that symptom network studies tend to lose sight of the fundamentals, overlook major limitations embedded in study designs, and make inferences that are difficult to justify with current findings. There is concern that disregarding these flaws may halt the progress of the network approach in psychiatry. Therefore, in this paper, we first attempt to identify the pitfalls: (1) a reductionist understanding of medicine and psychiatry, thereby inadvertently reintroducing the dichotomy of medicine (lung cancer) and psychiatry (depression), (2) a shortsighted view of signs and symptoms, (3) overlooking the limitations of available datasets based on scales with embedded latent class structures, (4) overestimating the importance of the current findings beyond what is supported by the study design. By addressing current issues, the hope is to navigate this rapidly growing field to a more methodologically sound and reproducible path that will contribute to our understanding of mental disorders and its underlying mechanisms.