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1.
Eur Psychiatry ; 66(1): e52, 2023 07 19.
Article in English | MEDLINE | ID: mdl-37466073

ABSTRACT

BACKGROUND: Body Mass Index (BMI) is an informative factor on body fatness which has been associated to higher levels of Perinatal Depression (PD) and complications during pregnancy. We aimed to explore the impact of pre-pregnancy and postnatal BMI on the risk of Perinatal Depression and pregnancy outcomes among women recruited at their third trimester of pregnancy. METHODS: We report on findings from a large multi-centre study conducted in the South of Italy and involving 1611 women accessing three urban gynaecological departments from July to November 2020. Pregnant women were assessed at their third trimester of pregnancy (T0) and after the childbirth (T1) ;The Edinburgh Postnatal Depression Scale (EPDS) has been employed for the screening of PD over time (T0 and T1) as well as other standardized measures for neuroticism, resilience, and quality of life at baseline. BMI (T0 and T1) and other socio-demographic and clinical characteristics have been collected. RESULTS: Over-weight and obesity (higher levels of BMI) were associated with higher risk of PD (higher scores of EPDS), higher neuroticism and poorer subjective psychological well-being among enrolled women. Also, obesity and over-weight were associated with lower education, higher number of physical comorbidities, medical treatments and complications during pregnancy. CONCLUSIONS: Over-weight and obesity may impact on mental health and pregnancy outcome of women enrolled. Psycho-educational interventions aimed to improve the management of physical and emotional issues may reduce the risk of PD and complications during pregnancy.


Subject(s)
Depression, Postpartum , Pregnancy Complications , Pregnancy , Female , Humans , Depression/diagnosis , Depression, Postpartum/diagnosis , Pregnancy Outcome , Body Mass Index , Quality of Life , Obesity/epidemiology , Overweight , Italy/epidemiology , Pregnancy Complications/diagnosis
2.
Brain Sci ; 13(5)2023 Apr 27.
Article in English | MEDLINE | ID: mdl-37239206

ABSTRACT

Agomelatine (AGM) is one of the latest atypical antidepressants, prescribed exclusively for the treatment of depression in adults. AGM belongs to the pharmaceutical class of melatonin agonist and selective serotonin antagonist ("MASS"), as it acts both as a selective agonist of melatonin receptors MT1 and MT2, and as a selective antagonist of 5-HT2C/5-HT2B receptors. AGM is involved in the resynchronization of interrupted circadian rhythms, with beneficial effects on sleep patterns, while antagonism on serotonin receptors increases the availability of norepinephrine and dopamine in the prefrontal cortex, with an antidepressant and nootropic effect. The use of AGM in the pediatric population is limited by the scarcity of data. In addition, few studies and case reports have been published on the use of AGM in patients with attention deficit and hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). Considering this evidence, the purpose of this review is to report the potential role of AGM in neurological developmental disorders. AGM would increase the expression of the cytoskeleton-associated protein (ARC) in the prefrontal cortex, with optimization of learning, long-term memory consolidation, and improved survival of neurons. Another important feature of AGM is the ability to modulate glutamatergic neurotransmission in regions associated with mood and cognition. With its synergistic activity a melatoninergic agonist and an antagonist of 5-HT2C, AGM acts as an antidepressant, psychostimulant, and promoter of neuronal plasticity, regulating cognitive symptoms, resynchronizing circadian rhythms in patients with autism, ADHD, anxiety, and depression. Given its good tolerability and good compliance, it could potentially be administered to adolescents and children.

3.
Front Psychiatry ; 13: 962948, 2022.
Article in English | MEDLINE | ID: mdl-35990082

ABSTRACT

Introduction: Perinatal depression (PD) is a cluster of clinical depressive symptoms occurring globally during pregnancy or after childbirth, with a prevalence of 11.9%. Risk factors for PD among pregnant women may include personality traits of neuroticism, low personal resilience, higher anxiety, avoidance in close relationships, as well as dysfunctional coping strategies. Methods: We report on descriptive findings of a screening/prevention program aimed to detect depressive symptoms and associated risk factors in a large sample of women (N = 1,664) accessing the gynecological departments of the Regione Puglia (South of Italy) from July to November 2020. Pregnant women were assessed in their third trimester of pregnancy (T0), after childbirth (T1), and those at risk for PD within 1 year from delivery (T2-T4); The Edinburgh Postnatal Depression Scale (EPDS) has been employed for the screening of PD over time as well as other standardized measures for neuroticism, resilience, coping strategies, and quality of life. Results: Of 1,664, n = 1,541 were tested at T1, and 131 scored ≥ 12 at EPDS (14.6 ± 2.95), showing a higher risk for PD. They were followed over time at 1, 6, and 12 months after childbirth (T2-T4), and 15 of them scored ≥ 12 (EPDS) at T4. Women with a higher risk of PD also reported higher levels of neuroticism, lower levels of personal resilience, more anxiety and avoidance in close relationships, higher employment of dysfunctional coping strategies (e.g., denial, self-blame, etc.), and lower quality of life (0.0008 < all p < 0.0001). Conclusion: This study confirmed the benefit of screening programs for the early detection of PD among pregnant women. We may suggest a set of risk factors to be considered in the clinical assessment of PD risk as well as the promotion of similar programs to improve depressive outcomes and pathways to care for PD on the basis of a more accurate assessment and referral.

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