Suppr超能文献

一天内更大的温度变化是否与精神分裂症急诊入院增加有关?

Is greater temperature change within a day associated with increased emergency admissions for schizophrenia?

机构信息

Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui Province, China.

Anhui Mental Health Center, Hefei, Anhui Province, China.

出版信息

Sci Total Environ. 2016 Oct 1;566-567:1545-1551. doi: 10.1016/j.scitotenv.2016.06.045. Epub 2016 Jun 17.

Abstract

BACKGROUND

Diurnal temperature range (DTR), as an important index of climate change, has been increasingly used to evaluate the impacts of temperature variability on human health. However, little is known about the effects of DTR on schizophrenia.

OBJECTIVE

The present study aims to examine the relationship between DTR and schizophrenia admissions, and further, to explore whether the association varied by individual characteristics and study periods.

METHODS

A Poisson generalized linear regression combined with distributed lag non-linear model (DLNM) was applied to analyze daily DTR and schizophrenia data from Hefei, China during 2005 to 2014, after adjusting for long-term and seasonal trends, mean temperature, relative humidity and other confounding factors.

RESULTS

An acute adverse effect of extremely high DTR on schizophrenia was observed, with a 2.7% (95% CI: 1.007-1.047) increase of daily schizophrenia admissions after exposure to extremely high DTR (95th percentile vs. 50th percentile). The risk for schizophrenia onset due to large DTR exposure increased from the first five years (2005-2009) to the second five years (2010-2014). Additionally, the patient aged 15-29 and 50-64years, male patients, patients born in spring/autumn, and married patients appeared to be more vulnerable to DTR effect. However, there was no significant association between moderately high DTR (75th percentile) and schizophrenia.

CONCLUSIONS

This study suggests that extremely high DTR is a potential trigger for schizophrenia admissions in Hefei, China. Our findings may provide valuable information to decisions-makers and guidance to health practitioners.

摘要

背景

日较差(DTR)作为气候变化的一个重要指标,已被越来越多地用于评估温度变化对人类健康的影响。然而,关于 DTR 对精神分裂症的影响知之甚少。

目的

本研究旨在探讨 DTR 与精神分裂症入院率之间的关系,并进一步探讨这种关联是否因个体特征和研究期间而有所不同。

方法

采用泊松广义线性回归结合分布滞后非线性模型(DLNM),对 2005 年至 2014 年中国合肥的每日 DTR 和精神分裂症数据进行分析,在调整长期和季节性趋势、平均温度、相对湿度等混杂因素后。

结果

发现极高 DTR 对精神分裂症有急性不利影响,与暴露于极高 DTR(第 95 百分位数与第 50 百分位数相比)后,每日精神分裂症入院率增加了 2.7%(95%CI:1.007-1.047)。由于 DTR 暴露量较大,精神分裂症发病风险从前五年(2005-2009 年)增加到后五年(2010-2014 年)。此外,年龄在 15-29 岁和 50-64 岁、男性、春季/秋季出生、已婚的患者似乎更容易受到 DTR 效应的影响。然而,中度高 DTR(第 75 百分位数)与精神分裂症之间没有显著关联。

结论

本研究表明,极高的 DTR 可能是合肥市精神分裂症入院的一个潜在触发因素。我们的研究结果可能为决策者提供有价值的信息,并为卫生保健从业者提供指导。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验