Seasonal variations in psychiatry outpatient service utilization in a tertiary health care center in subtropical arid regions of northwestern India.

IF 1.7 4区 医学 Q3 PSYCHIATRY Indian Journal of Psychiatry Pub Date : 2024-08-01 Epub Date: 2024-08-19 DOI:10.4103/indianjpsychiatry.indianjpsychiatry_141_24
Parth S Meena, Anubhuti Sharma, Ayush Maurya, Varun Bansal
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Abstract

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.

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印度西北部亚热带干旱地区一家三级医疗保健中心精神科门诊服务利用率的季节性变化。
背景:有关导致精神障碍季节性的气候参数的研究十分有限,尤其是在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保健中心两年来精神障碍发病率的季节性变化,旨在揭示其与气候因素之间的联系。目的:调查门诊精神科服务利用率的季节性变化,并阐明导致这些时间性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:数据来源于使用 ICD-10 诊断的成人精神科门诊记录(2021 年 7 月至 2023 年 7 月)。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)。研究人员还获得了气象数据、气温和昼长。统计分析(包括皮尔逊相关性和卡方拟合)评估了季节与精神疾病的关联:结果:共观察到 29 164 份患者记录。抑郁症与温度和光周期相关。躁狂症在八月达到高峰,与昼长有关。精神分裂症表现出季节性变化,但与环境无关。焦虑症在三月达到高峰,但无统计学意义。强迫症病例在 6 月份达到高峰,与气温和光周期呈中度相关。与酒精有关的疾病在 12 月达到高峰,而阿片类药物依赖则保持稳定。大麻引发的精神病在夏季达到高峰,与气温和日照长度密切相关。头痛在 8 月份激增,与气温和昼长呈正相关:本研究揭示了季节性、环境因素和精神疾病之间的复杂关系,强调了它们在精神健康研究和实践中的重要性。
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来源期刊
Indian Journal of Psychiatry
Indian Journal of Psychiatry Medicine-Psychiatry and Mental Health
CiteScore
4.40
自引率
3.20%
发文量
130
审稿时长
34 weeks
期刊介绍: The Indian Journal of Psychiatry (ISSN 0019-5545), is an official publication of the Indian Psychiatric Society. It is published Bimonthly with one additional supplement (total 5 issues). The IJP publishes original work in all the fields of psychiatry. All papers are peer-reviewed before publication. The issues are published Bimonthly. An additional supplement is also published annually. Articles can be submitted online from www.journalonweb.com . The journal provides immediate free access to all the published articles. The journal does not charge the authors for submission, processing or publication of the articles.
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