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Perinatal depression is a severe and disabling condition, which affects negatively both mothers’ and children’s mental health and well-being. About 12.8% of pregnant women report depressive symptoms in the perinatal period.
Objectives
The aims of the present study are to: 1) identify factors (socio-demographic and clinical) associated with an increased risk of developing PD; 2) promote a screening program on PD.
Methods
All pregnant women were assessed at each trimester of pregnancy, three days after the childbirth and after 1, 3, 6 and 12 months, with the Edinburgh Postpartum Depression Scale (EPDS). Women scoring ≥10 on the EPDS were invited to receive a full psychiatric evaluation to confirm the diagnosis.
Results
420 women were recruited. 52.9%, 27.6% and 31.6% of participants presented an EPDS≥ 10 score at The I, II and III trimester of pregnancy, respectively. The percentage of patients with and EPS score ≥19 is 16.6%, 6.8%, 6.8%, 11.3% and 7.8% in 3 days following the childbirth and after 3, 6, 9 and 12 months, respectively. Higher EPDS scores are predicted by the presence of anxiety symptoms before pregnancy and of depressive and anxiety symptoms in previous pregnancies (p<0.05). Women with family conflicts and with anxiety symptoms in the partner are more likely to report higher EPDS scores (p<0.001).
Conclusions
Our results confirm that perinatal depression is a highly prevalent condition. An early identification of depressive symptoms during this period is crucial in order to reduce the long-term negative impact on the mothers, the newborn and other family members.
Severe mental disorders (SMD) are associated with higher morbidity rates and poorer health outcomes compared to the general population. They are more likely to be overweight, to be affected by cardiovascular diseases, and to have higher risk factors for chronic diseases.
Objectives
To assess physical health in a sample of patients with SMD and to investigate which mental health-related factors and other psychosocial outcomes could be considered predictors of poor physical health.
Methods
Patients referring to the psychiatric outpatients unit of the University of Campania “L. Vanvitelli” were recruited, and were assessed through validated assessment instruments exploring psychopathological status, global functioning and stigma. Physical health was assessed with an ad-hoc anthropometric schedule. A blood sample has been collected to assess levels of cholesterol, blood glucose, triglycerides, and blood insulin.
Results
75 patients have been recruited, with a mean age of 45.63±11.84 years. 30% of the sample had a diagnosis of psychosis, 27% of depression and 43% of bipolar disorder. A higher BMI is predicted by higher number of hospitalizations, a reduced score at MANSA (p<.000), and PSP (p<.05), and higher score at ISMI and BPRS (p<.05). A higher cardiovascular risk is predicted by a reduced MANSA score (p<.000), a higher ISMI score and a poorer adherence to pharmacological treatments (p<.05). Higher ISMI score (p<.0001) and number of hospitalizations (p<.05) are predictors of insulin-resistance.
Conclusions
Our study shows that psychosocial domains negatively influence physical health outcome. It is necessary to disseminate an integrated psychosocial intervention in order to improve patients’ physical health.
Disclosure
No significant relationships.
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