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Our aim was to assess personality traits associated with substance use during pregnancy in a population-based, multicentre study of 1804 pregnant women. On day 2-3 postpartum, participants completed a semi-structured interview, including self-reported drug use (alcohol, tobacco, caffeine, cannabis, cocaine, opioids) during pregnancy, and socio-demographic, reproductive and obstetric variables, personal and family psychiatric history, social support, and the Eysenck personality questionnaire, short version (EPQ-RS). Logistic regression models were conducted. Fifty per cent of women reported substance use during pregnancy: 40% caffeine, 21% tobacco, 3.5% alcohol, and 0.3 % cannabis. Mean T-scores (SD) for personality dimensions were 51.1 (9.6) for extraversion, 48 (8.9) for psychoticism, and 43.6 (8.5) for neuroticism. Extroversion (p = .029) and psychoticism (p = .009) were identified as risk factors after adjustment by age, level of education, employment status during pregnancy, low social support, and previous psychiatric history. For each increment of 10 units in their scores, the odds of substance use increased by 12% and 16% respectively. Low education, being on leave during pregnancy, and previous psychiatric history were independent factors (p < .05) associated with substance use during pregnancy. Primiparity was a protective factor (p = .001). The final models showed a good fit (p = .26). The screening of substance use during pregnancy should include personality dimensions apart from psychosocial variables and history of psychiatric disorders. It is important to identify the associated risk factors for substance use during pregnancy to prevent and improve foetal/neonatal and maternal health during perinatal period. Este estudio evalua los patrones de consumo de substancias durante el embarazo y las dimensiones de personalidad asociadas, en una muestra multicentrica de 1804 mujeres de poblacion general. En el 2-3 dia posparto, completaron una entrevista auto-administrada sobre el consumo de alcohol, tabaco, cafeina, cannabis, cocaina, opiaceos, drogas de diseno, ademas de variables socio-demograficas, obstetricas/reproductivas, historia psiquiatrica previa, apoyo social durante el embarazo y el cuestionario de personalidad de Eysenck (EPQ-RS). Se generaron modelos de regresion logistica multiple. La prevalencia del consumo fue del 50% (N=909): 40% cafeina, 21% tabaco, 3,5% alcohol, y 0,3 cannabis. Las puntuaciones T medias (DE) de personalidad fueron: extraversion 51,1 (9,6), psicoticismo 48 (8,9) y neuroticismo 43,6 (8,5). Las dimensiones de extraversion (p=0,029) y psicoticismo (p=0,009), fueron identificadas como factores de riesgo tras ajustar por edad, nivel educacion, estatus laboral durante el embarazo, bajo apoyo social, e historia psiquiatrica previa. Para cada incremento de 10 unidades en sus puntuaciones, el odds de consumo de substancias durante el embarazo se incremento un 12% y un 16% respectivamente. Menor educacion, estar de baja, y antecedentes psiquiatricos fueron tambien factores independientes (p

BACKGROUND: Variables such as the mother's personality, social support, coping strategies and stressful events have been described as risk factors for postpartum depression. Structural Equation Modelling (SEM) analysis was used to examine whether neuroticism, perceived social support, perceived life events, and coping strategies are associated with postpartum depressive symptoms at the 8th and 32nd weeks. METHODS: A total of 1626 pregnant women participated in a longitudinal study. Different evaluations were performed 8 and 32weeks after delivery. Several measures were used: the Edinburgh Postnatal Depression Scale (EPDS), the Diagnostic Interview for Genetic Studies (DIGS), the Eysenck Personality Questionnaire (EPQ-RS), the St. Paul Ramsey life events scale and the Duke-UNC Functional Social Support Questionnaire. The brief COPE scale was used to measure coping strategies. SEM analysis was conducted for all women and in those women with a clinical diagnosis of postpartum depression. RESULTS: Passive coping strategies were associated with postpartum depressive symptoms at both visits (8th and 32nd weeks). Neuroticism was associated with more passive coping strategies and less active coping strategies. Neuroticism and life stress were positively correlated, and social support was negatively correlated with life stress and neuroticism. CONCLUSIONS: Early identification of potential risk for symptomatology of depression postpartum should include assessment of neuroticism, life events, social support and coping strategies. Gobierno de España. Instituto de Salud Carlos III (ISCIII) Spanish Psychiatric Genetics and Genotyping network RTA Generalitat de Catalunya

Although the relationship between personality and depressive illness is complex (Shea, 2005), there is empirical evidence that some personality features such as neuroticism, harm avoidance, introversion, dependency, self-criticism or perfectionism are related to depressive illness risk (Gunderson et al. 1999). Moreover, personality traits, especially neuroticism, may explain the increased prevalence of depression among females (Goodwin & Gotlib, 2004). Few studies have explored neuroticism, extraversion and psychoticism as risk factors for depression after an event as stressful as childbirth. Pitt (1968) was the first author to report high scores on neuroticism and low scores on extraversion among postpartum depressed women. Similar results were found in a comparison of mothers with and without postpartum depressive symptoms (Dudley et al. 2001; Podolska et al. 2010). A case-control study comparing women with recurrent major depression with and without a history of postpartum depression found no personality trait differences between them; however, those with a history of postpartum depression showed higher neuroticism and psychoticism and lower extraversion than controls. These results suggested that these traits did not confer a specific risk for the postnatal onset episodes (Jones et al. 2010). Prospective studies have also studied the link between personality and postpartum depression; however, these data are not conclusive due to methodological limitations, such as sample size (Kumar & Robson, 1984; Watson et al. 1984; Areias et al. 1991; Boyce et al. 1991; Matthey et al. 2000), selection bias (Kumar & Robson, 1984; Areias et al. 1991; Boyce et al. 1991; Matthey et al. 2000), or depression assessment (self-report measures versus clinical diagnosis: Boyce et al. 1991; Matthey et al. 2000; Dudley et al. 2001; Saisto et al. 2001; Van Bussel et al. 2009) or because the authors did not take into account confounding factors such as stressful life events or social support (Watson et al. 1984; Kumar & Robson, 1984; Boyce et al. 1991; Matthey et al. 2000; Saisto et al. 2001; Verkerk et al. 2005; Van Bussel et al. 2009). (See Supplementary material, Table S1.)The aim of this paper was to extend the previous knowledge of the role of neuroticism, extroversion and psychoticism as risk factors for postpartum depression (depression symptomatology and clinical diagnosis) considering psychosocial variables in a large cohort of women from the general population.

[EN] Objective: The main goal of this paper is to obtain a classification model based on feed-forward multilayer perceptrons in order to improve postpartum depression prediction during the 32 weeks after childbirth with a high sensitivity and specificity and to develop a tool to be integrated in a decision support system for clinicians. Materials and Methods: Multilayer perceptrons were trained on data from 1397 women who had just given birth, from seven Spanish general hospitals, including clinical, environmental and genetic variables. A prospective cohort study was made just after delivery, at 8 weeks and at 32 weeks after delivery. The models were evaluated with the geometric mean of accuracies using a hold-out strategy. Results: Multilayer perceptrons showed good performance (high sensitivity and specificity) as predictive models for postpartum depression. Conclusions: The use of these models in a decision support system can be clinically evaluated in future work. The analysis of the models by pruning leads to a qualitative interpretation of the influence of each variable in the interest of clinical protocols., This work was partially funded by the Spanish Ministerio de Sanidad (PIC41635, Vulnerabilidad genetico-ambiental a la depresion posparto, 2006-2008) and the Instituto de Salud Carlos III (RETICS Combiomed, RD07/0067/2001). The authors acknowledge to Programa Torres Quevedo from Ministerio de Educacion y Ciencia, co-founded by the European Social Fund (PTQ05-02-03386 and PTQ-08-01-06802)

[This corrects the article DOI: 10.1371/journal.pone.0158224.].