Background: Although risk factors associated with maternal postpartum depression (PPD) have been recognized, it is still unknown how some newborn characteristics could influence the appearance of PPD. Aim: Our research aimed to unravel the impact of a newborn’s features on women with PPD. Methods: The study was conducted in the Obstetrics and Gynecology Department at our University Emergency County Hospital, between August 2019 and April 2021. We included 904 women from the second day of the postpartum period, divided into two groups: women with PPD (n = 236) and control (i.e., women without PPD, n = 668), by using the Edinburg Postpartum Depression Scale. Characteristic information on the newborns (i.e., the months in which they were born, premature delivery, birth weight, or sex) was evaluated. Results: Our results suggest that the winter season (i.e., December and January months, p = 0.01) births and male newborns (p = 0.02) were strongly related with the appearance of depressive symptoms during the postpartum period. Conclusions: Therefore, our study sustains that women who give birth to male newborns in the winter season are more prone to developing PPD. This should be analyzed by all public health care systems in order to prevent such a condition earlier in certain groups of women.

Background and Objective: Although possible risk factors associated with maternal postpartum depression (PPD) have been elucidated, it is still unknown how some newborns characteristics could influence the appearance of PPD. Our research aimed to unravel the impact of newborn’s characteristics on PPD. Methods: The study was conducted in the Obstetrics & Gynecology Department, from our University Emergency County Hospital, between August 2019 and April 2021. We included women in the 2 nd day of the postpartum period (n=904), divided into 2 groups: women with PPD (n=236) and control (women without PPD, n=668), by using the Edinburg Postpartum Depression Scale. Characteristic information on newborns (i.e., the months in which they were born, premature delivery, birth weight, or gender) were assessed. Results: Our findings suggest that the winter season (i.e. December and January, p=0.01) births and male newborns (p=0.02) were associated with the appearance of depressive symptoms during postpartum. Conclusions: Therefore, our study showed that women who give birth to male newborns in winter are likely to develop PPD. This should be considered by all public health systems in order to prevent such manifestations in certain groups of women.

Objective. We analyzed the possible correlation between glycemic variability and psychological disorders such as depression, anxiety disorder, and low self-esteem, in diabetic patients. These correlations are relevant, as they consume a large number of resources. Their better understanding can increase the effectiveness of incident reduction techniques and could provide better management and cost reduction of care. Methods. We compared the relationships between the glycemic variability (for a period of 10 days prior to completing the depression questionnaire) and the results of two standardized questionnaires: Hamilton anxiety scale - HRSA (group 1: 500 patients), Rosenberg self-esteem test (group 2: 490 patients) and Beck depression inventory (both groups). Results. A statistically significant correlation was identified between the glycemic oscillation and depression as well as both anxiety and low self-esteem. The present data justify further research. Our results could be developed into a preliminary intervention protocol, using the daily glycemic values measurements, collected by patients. In conclusion, psychometric tests could be an important instrument in the management of diabetic patients.

Background: Self-transcendence has been described in psychological literature as an orientation toward meaning beyond the individual self. However, because the present study does not directly measure transcendence as a psychological construct, we approach it cautiously as a candidate form of internally oriented attention, operationalized through EEG spectral dynamics. Although this construct has been linked to self-referential cognition and large-scale brain systems supporting internal mentation, electrophysiological evidence remains limited, especially in designs that compare spiritually oriented practices with non-spiritual internal-focus controls. Objective: We examined whether a candidate EEG-derived Transcendence Index (TI) is associated with EEG oscillatory activity across canonical frequency bands and whether prayer and relaxation show descriptively distinct oscillatory patterns. Methods: In a within-subject design, participants completed a psychological assessment battery including personality and anxiety measures and underwent EEG recording during two eyes-closed conditions (Prayer vs. Relaxation). Spectral power features were extracted for delta, theta, alpha (low/high), beta (low/high), and gamma (low/high, where signal quality permitted). We examined associations between TI and band-limited activity and explored condition-related oscillatory patterns across Prayer and Relaxation. Given the modest sample size (N = 39), the study was designed and interpreted as exploratory research. Results: Higher TI was associated with an oscillatory profile consistent with internally oriented attention and reflective self-processing, with the most consistent patterns observed in theta–alpha dynamics (and comparatively lower beta contribution). In addition, Prayer and Relaxation showed descriptively distinct oscillatory patterns, suggesting that prayer engages internal-focus processes that may not be fully captured by relaxation alone. Conclusions: These findings support the feasibility of examining internally oriented attentional dynamics potentially related to “transcendence” as a candidate construct through scalp EEG spectral activity. Integrating theory-informed indices with EEG features may help refine psychophysiological models of self-transcendence and inform digitally supported assessment approaches, pending further construct validation. These findings should therefore be interpreted as exploratory preliminary evidence supporting the feasibility of EEG-based indices of internally oriented attention.

Objective. We analyzed the correlation between glycemic variability and psychological problems such as depression, anxiety disorder, and low self-esteem in pregnant and non -pregnant (excluding gestational diabetes) patients with diabetes. Besides its originality, this study might contribute to better / earlier diagnosis of these psychological conditions, with a special interest in pregnant diabetic women. Better management and cost reduction of care could be a consequence. Methods. We compared diabetic pregnant and non -pregnant women from the perspective of the glycemic variability (for a period of 15 days prior inclusion in the study) and their results on the standardized questionnaires: Beck depression inventory, Hamilton anxiety scale - HRSA, Rosenberg self-esteem test. Results and Conclusions. A statistically significant correlation was identified in both groups between the glycemic oscillation and depression, anxiety, and low selfesteem. Diabetic pregnant women had a higher statistical significance for the correlation between the glycemic oscillation and depression, as well as between the glycemic oscillation and anxiety than non -pregnant diabetic patients. The present data justify further research. Our results could be developed into a preliminary intervention protocol, using the daily glycemic values measurements, collected by patients.

Background/Objectives: The Antepartum Depression Scale (ADS) is an innovative tool designed to comprehensively assess the psychological states of pregnant women, specifically targeting depression, melancholy, anxiety, and self-dysthymia. Unlike existing scales, the ADS integrates a multidimensional approach tailored to the unique psychological profile of preg-nancy. Additionally, its adaptability for telemedicine ensures accessibility for psychological assessments via digital platforms, addressing the growing need for remote mental health care. Despite the critical importance of maternal mental health, there remains a gap in standardized, pregnancy-specific depression assessments that are both clinically robust and telemedi-cine-compatible. The ADS was rigorously developed and validated to ensure accuracy and re-liability, making it a critical tool for early detection and management of antepartum depression, even in resource-limited settings. Methods: A total of 850 pregnant women participated in the ADS validation study, with 650 completing a test-retest reliability analysis over a 14-day in-terval. The diverse Romanian sample ensured demographic variability. Additionally, 200 par-ticipants completed the ADS alongside Beck’s Depression Inventory, Hamilton Anxiety Rating Scale, and Rosenberg’s Self-Esteem Scale to assess construct validity. Psychometric properties were evaluated using internal consistency, test-retest reliability, and factor analysis. Results: The ADS demonstrated excellent internal consistency (Cronbach’s Alpha = 0.897), strong validity (The Kaiser-Meyer-Olkin = 0.876), and robust correlations with established scales. Notably, mean depression scores increased significantly between tests, underscoring the scale’s sensi-tivity to psychological changes during pregnancy. Conclusions: The ADS is a validated, mul-tidimensional tool that fills a critical gap in maternal mental health assessment by offering a pregnancy-specific, psychometrically sound instrument. Its applicability in both clinical and telemedicine settings support’s early intervention, ultimately enhancing maternal mental health care and improving outcomes for pregnant women.