Meena Parth S, Sharma Anubhuti, Maurya Ayush, Bansal Varun
Department of Psychiatry, Jawahar Lal Nehru Medical College, Ajmer, Rajasthan, India.
Department of Psychiatry, Mahatma Gandhi Medical College, Jaipur, Rajasthan, India.
Indian J Psychiatry. 2024 Aug;66(8):736-743. doi: 10.4103/indianjpsychiatry.indianjpsychiatry_141_24. Epub 2024 Aug 19.
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.
To investigate seasonal variations in the utilization of outpatient psychiatry services and elucidate potential determinants contributing to these temporal variations.
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.
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.
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.
This study reveals complex relationships between seasonality, environmental factors, and psychiatric disorders, emphasizing their importance in mental health research and practice.
关于导致精神障碍季节性发作的气候参数的研究有限，尤其是在像拉贾斯坦邦这样的亚热带干旱气候地区，因此有必要对该地区精神障碍发病率的季节性变化进行调查。本研究调查了拉贾斯坦邦一家三级医疗中心两年内精神障碍患病率的季节性变化，旨在揭示与气候因素的联系。
调查精神科门诊服务利用情况的季节性变化，并阐明导致这些时间变化的潜在决定因素。
这是一项基于医院的研究。对2021年7月至2023年7月期间使用精神科门诊服务的所有新患者进行了回顾性病历审查。
收集成年人（2021年7月至2023年7月）精神科门诊记录的数据，使用国际疾病分类第十版（ICD - 10）进行诊断。季节分为：冬季（11月至1月）、春季（2月至4月）、夏季（5月至7月）和雨季（8月至10月）。获取气象数据、温度和日照时长。进行了包括Pearson相关性分析和卡方拟合在内的统计分析，以评估季节与精神障碍之间的关联。
共观察到29164份患者记录。抑郁症与温度和光照周期相关。躁狂症在8月达到峰值，与日照时长有关。精神分裂症呈现季节性变化，但与环境无关。焦虑症在3月达到峰值，但无统计学意义。强迫症病例在6月激增，与温度和光照周期呈中度相关。酒精相关障碍在12月达到峰值，而阿片类药物依赖保持稳定。大麻所致精神病在夏季达到峰值，与温度和日照时长密切相关。头痛在8月激增，与温度和日照时长呈正相关。
本研究揭示了季节性、环境因素与精神障碍之间的复杂关系，强调了它们在心理健康研究和实践中的重要性。
