Ilenia Sessa

Dr. Ilenia Sessa

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 September 2022 in Journal of Personalized Medicine
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Marianna MazzaMarianna Mazza
Marianna Mazza
Georgios KotzalidisGeorgios Kotzalidis
Georgios Kotzalidis
CACarla Avallone
Carla Avallone
MBMarta Balocchi
Marta Balocchi
ISIlenia Sessa
Ilenia Sessa
Gabriele SaniGabriele Sani
Gabriele Sani
Background. Since the identification of Couvade syndrome in the late 1950s, little attention has been dedicated to the issue of depression in expecting fathers. Objective. To quantify the extent of depression in expecting fathers and find out if they match their pregnant partners’ depression. Methods. We conducted a PubMed and ClinicalTrials.gov search using paternal depression and all its variants as terms. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement to include eligible studies. Results. We identified a grand total of 1443 articles, of which 204 were eligible. The total number of fathers/expecting fathers involved was 849,913. Longitudinal studies represented more than half of the included studies; more than three-quarters of the studies used the Edinburgh Postnatal Depression Scale (EPDS). The average occurrence of paternal depression was around 5%, which confers the entity some clinical dignity. Depression tends to occur more in expecting women and new mothers than in expecting partners or new fathers, while the co-occurrence in the same couple is quite low. Limitations. The methodological heterogeneity of the included studies prevents us from meta-analyzing the obtained data. The validity of the instruments used is another issue. Conclusions. Paternal depression is distinct from maternal depression and occurs at lower rates (about half). The very existence of a paternal depression clinical entity is beyond any doubt. Future research should address methodological heterogeneity.

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ACAmbra Craba
Ambra Craba
Giuseppe MaranoGiuseppe Marano
Giuseppe Marano
Georgios KotzalidisGeorgios Kotzalidis
Georgios Kotzalidis
CACarla Avallone
Carla Avallone
FLFrancesco Maria Lisci
Francesco Maria Lisci
Marianna MazzaMarianna Mazza
Marianna Mazza
Background: Resilience represents one of the fundamental elements of attachment and has often been investigated in mood disorders. This study aims to investigate possible correlations between attachment and resilience in patients with major depressive disorder (MDD) and bipolar disorder (BD). Methods: 106 patients (51 MDD, 55 BD) and 60 healthy controls (HCs) were administered the 21-item Hamilton Depression Rating Scale (HAM-D-21), the Hamilton Anxiety Rating Scale (HAM-A), the Young Mania Rating Scale (YMRS), the Snaith–Hamilton Pleasure Scale (SHAPS), the Barratt Impulsiveness Scale-11 (BIS-11), the Toronto Alexithymia Scale (TAS), the Connor–Davidson Resilience Scale (CD-RISC), and Experiences in Close Relationship (ECR). Results: MDD and BD patients did not significantly differ from each other according to the HAM-D-21, HAM-A, YMRS, SHAPS, and TAS, while they scored higher than HCs on all these scales. Patients in the clinical group scored significantly lower on CD-RISC resilience than HCs (p < 0.01). A lower proportion of secure attachment was found among patients with MDD (27.4%) and BD (18.2%) compared to HCs (90%). In both clinical groups, fearful attachment prevailed (39.2% patients with MDD; 60% BD). Conclusions: Our results highlight the central role played by early life experiences and attachment in participants with mood disorders. Our study confirms the data from previous research showing a significant positive correlation between the quality of attachment and the development of resilience capacity, and supports the hypothesis that attachment constitutes a fundamental aspect of resilience capacity.

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Marianna MazzaMarianna Mazza
Marianna Mazza
CBCaterina Brisi
Caterina Brisi
GVGiorgio Veneziani
Giorgio Veneziani
FLFrancesco Maria Lisci
Francesco Maria Lisci
ISIlenia Sessa
Ilenia Sessa
Gabriele SaniGabriele Sani
Gabriele Sani
Background/Objectives: Although depression and anxiety are found to be affected by temperaments, little research has studied these relationships in pregnancy. The present study explored the associations among perinatal depression (PD), anxiety dimensions (state, trait, and generalized anxiety disorder (GAD)), and temperaments between women in the three trimesters of pregnancy through a network analysis approach. Moreover, differences in the severity of PD and anxiety between women in the three trimesters were evaluated. Methods: Women in first (N = 31), second (N = 184), and third (N = 54) trimesters of pregnancy were recruited in the present cross-sectional study. The network analysis included PD, anxiety dimensions, and temperaments. Three network models were estimated, and ANOVAs evaluated the differences in the severity of PD and anxiety, including trimesters as a between-subject factor. Results: PD and GAD were the nodes most strongly connected across the three groups. Cyclothymic, depressive, and anxious temperaments were most frequently associated with PD and GAD. Hyperthymic temperament was in the periphery of the three networks. Lastly, women in the first trimester had the highest severity of PD and GAD. Conclusions: PD and GAD showed the strongest associations. Anxiety dimensions had positive associations with PD and GAD, suggesting their role as possible risk factors. Temperaments were differently associated within the network between the three groups. Clinical interventions during pregnancy should target the central variables, considering their direct and indirect relationships.

Verified
Journal Article
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Marianna MazzaMarianna Mazza
Marianna Mazza
CACarla Avallone
Carla Avallone
Georgios KotzalidisGeorgios Kotzalidis
Georgios Kotzalidis
Giuseppe MaranoGiuseppe Marano
Giuseppe Marano
LMLorenzo Moccia
Lorenzo Moccia
Gabriele SaniGabriele Sani
Gabriele Sani
Pregnancy is a unique experience in women’s life, requiring a great ability of adaptation and self-reorganization; vulnerable women may be at increased risk of developing depressive symptoms. This study aimed to examine the incidence of depressive symptomatology during pregnancy and to evaluate the role of affective temperament traits and psychosocial risk factors in predicting them. We recruited 193 pregnant women, collected data regarding sociodemographic, family and personal clinical variables, social support and stressful life events and administered the Mood Disorder Questionnaire (MDQ), the Patient Health Questionnaire-9 (PHQ-9), and the Temperament Evaluation of Memphis, Pisa, Paris and San Diego-Autoquestionnaire (TEMPS-A). In our sample, prevalence of depressive symptomatology was 41.45% and prevalence of depression was 9.85% (6.75% mild and 3.10% moderate depression). We have chosen a cutoff >4 on PHQ-9 to identify mild depressive symptoms which may predict subsequent depression. Statistically significant differences between the two groups were found in the following factors: gestational age, occupation, partner, medical conditions, psychiatric disorders, family psychiatric history, stressful life events, and TEMPS-A mean scores. In our sample mean scores on all affective temperaments but the hyperthymic, were significantly lower in the control group. Only depressive and hyperthymic temperaments were found to be, respectively, risk and protective factors for depressive symptomatology. The current study confirms the high prevalence and complex aetiology of depressive symptomatology during pregnancy and suggests that affective temperament assessment seems to be a useful adjunctive instrument to predict depressive symptomatology during pregnancy and postpartum.

21 February 2025 in Life
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Journal Article
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Marianna MazzaMarianna Mazza
Marianna Mazza
GVGiorgio Veneziani
Giorgio Veneziani
FLFrancesco Maria Lisci
Francesco Maria Lisci
SMSofia Morini
Sofia Morini
GTGianandrea Traversi
Gianandrea Traversi
Giuseppe MaranoGiuseppe Marano
Giuseppe Marano
Mental illnesses can have a significant impact on individuals experiencing acute coronary syndromes (ACS). Mental illnesses are associated with an increased cardiovascular risk profile and early onset of cardiovascular disease. A critical aspect of this interplay is the effect of psychiatric conditions on left ventricular ejection fraction (LVEF), a key parameter in evaluating cardiac function and predicting long-term outcomes in ACS patients. The present single-center, retrospective study investigated the associations between psychiatric conditions and cardiac function, with a focus on LVEF in ACS patients. The inclusion criteria were Italian nationality and 30 years or older. One hundred and sixty-four patients without (Mage = 68.8 ± 10.6, 62 females) and 161 patients with a psychiatric diagnosis (Mage = 68.4 ± 13.7, 63 females) were enrolled. The data collected included sociodemographic variables, psychiatric diagnoses, LVEF, ACS type (STEMI/NSTEMI), smoking status, previous interventions, and pharmacological treatments. Statistical analyses included chi-square, t-tests, ANOVAs, and ANCOVA to assess differences across groups. Findings revealed lower LVEF in patients with a psychiatric diagnosis compared to patients without a psychiatric diagnosis (p = 0.004, d = 0.36). Patients without a psychiatric diagnosis were associated with NSTEMI (p = 0.047, φ = 0.11), hypertension (p = 0.003, φ = −0.16), and dyslipidemia (p = 0.022, φ = −0.13). In contrast, patients with a psychiatric diagnosis were associated with STEMI (p = 0.047, φ = 0.11), neurological dysfunction (p = 0.014, φ = 0.14), and chronic obstructive pulmonary disease (p = 0.010, φ = 0.14). Among psychiatric diagnoses, anxiety disorders were associated with lower LVEF compared to substance abuse disorders (p = 0.012, d = −0.81). The findings underscore the complex relationship between mental illness and cardiac function, emphasising the need to integrate psychiatric evaluations into cardiology care to optimise the management of both mental and cardiovascular health. This study has several limitations, including its design, which prevents causal conclusions, and the use of convenience sampling, which limits the generalizability of the findings.