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Background: Research on climatic parameters contributing to psychiatric disorder seasonality is limited, particularly in subtropical, arid climates like Rajasthan, necessitating investigation into seasonal variations in psychiatric disorder incidence in the region. This study investigates seasonal variations in psychiatric disorder prevalence over 2 years at a Rajasthan tertiary healthcare center, aiming to uncover links with climatic factors. Aims: To investigate seasonal variations in the utilization of outpatient psychiatry services and elucidate potential determinants contributing to these temporal variations. Settings and Design: This is a hospital-based study. A retrospective chart review of all new patients who utilized psychiatry outpatient services from July 2021 to July 2023 was conducted. Methods and Material: Data were gathered from psychiatric outpatient records of adults (July 2021 to July 2023), diagnosed using ICD-10. Seasons were categorized: winter (November-January), spring (February-April), summer (May-July), and rainy (August-October). Meteorological data, temperature, and day length were obtained. Statistical analyses, including Pearson correlation and Chi-square fitness, assessed seasonal associations with psychiatric disorders. Results: A total of 29,164 patient records were observed. Depression correlated with temperature and photoperiod. Mania peaked in August, linked to day length. Schizophrenia showed seasonal variation without environmental correlation. Anxiety peaked in March with no statistical significance. Obsessive compulsive disorder cases spiked in June, moderately correlated with temperature and photoperiod. Alcohol-related disorders peaked in December, while opioid dependence remained steady. Cannabis-induced psychosis peaked in summer, strongly correlated with temperature and day length. Headaches surged in August, positively correlated with temperature and day length. Conclusions: This study reveals complex relationships between seasonality, environmental factors, and psychiatric disorders, emphasizing their importance in mental health research and practice. [ABSTRACT FROM AUTHOR]

Background: The identification of differences in seasonality and chronotype may provide useful information regarding unipolar mania as a distinct entity. Therefore, the present study was planned to compare seasonality and chronotype in patients with unipolar mania and bipolar disorder. Method: A cross-sectional study included 60 euthymic outpatients, 30 affected by bipolar affective disorder (both manic and depressive episode) and 30 affected by unipolar mania (2 or more manic episodes). Seasonality and chronotype were evaluated by using the Seasonal Pattern Assessment Questionnaire (SPAQ) and the Morningness-Eveningness Questionnaire (MEQ) scales. We used t and chi-square tests to compare groups. Results: Patients with bipolar disorder reported significantly higher seasonality as well as significantly higher problems associated with seasonal changes. The chronotype in majority of patients in both the groups was 'moderate morning', followed by 'intermediate'. Conclusion: Lower seasonality in unipolar mania supports its validity as a distinct entity. [ABSTRACT FROM AUTHOR]

The article presents a case study of a 25-year-old young man presented with a history of generalized tonic-clonic seizures, low intelligence, and some behavioural problems and underwent into electroencephalography revealing a Dyke-Davidoff-Masson syndrome (DDMS).