Short-term exposure to temperature and mental health in North Carolina: a distributed lag nonlinear analysis

Short-term exposure to temperature and mental health in North Carolina: a distributed lag nonlinear analysis
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DOI:
10.1007/s00484-023-02436-0
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发表时间:
2023-02
影响因子:
3.2
通讯作者:
Tyler Minor;M. Sugg;J. Runkle
Tyler Minor;M. Sugg;J. Runkle
中科院分区:
地球科学3区
文献类型:
--
作者:
Tyler Minor;M. Sugg;J. Runkle

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世界各地的研究表明,不良的心理健康结果与高温有关。很少有研究探讨广泛的心理健康结果,据我们所知,没有一项是专门针对美国北卡罗来纳州的。这项生态研究探讨了环境温度和心理健康结果(自杀,自我伤害和自杀意念,焦虑和压力,情绪障碍和抑郁症)之间的关系,在六个城市县横跨美国北卡罗来纳州。我们应用拟泊松广义线性模型与分布滞后非线性模型(DLNM)相结合,研究了每日环境温度对精神健康状况(2016年至2018年)和暴力死亡(2004年至2018年)紧急入院的短期影响。除了一些关键的例外,结果基本上是微不足道的。温度范围最大的县(维克)显示出更高的显著性水平,而温度范围最低的县(新汉诺威和皮特)几乎完全不显著。自残和自杀意念在温暖的月份(7月)达到高峰,通常在较低的温度和较短的滞后时间内表现出保护作用。而焦虑、抑郁和重度抑郁症在凉爽的月份(5月和9月)达到高峰。自杀是敏感性分析中唯一支持20天滞后期的结果,尽管与温度的关联并不显着。我们的研究结果表明,需要对一系列心理健康结果进行额外的研究,以充分了解温度对心理健康的影响。
Adverse mental health outcomes have been associated with high temperatures in studies worldwide. Few studies explore a broad range of mental health outcomes, and to our knowledge, none are specific to NC, USA. This ecological study explored the relationship between ambient temperature and mental health outcomes (suicide, self-harm and suicide ideation, anxiety and stress, mood disorders, and depression) in six urban counties across the state of NC, USA. We applied a quasi-Poisson generalized linear model combined with a distributed lag nonlinear model (DLNM) to examine the short-term effects of daily ambient temperature on emergency admissions for mental health conditions (2016 to 2018) and violent deaths (2004 to 2018). The results were predominately insignificant, with some key exceptions. The county with the greatest temperature range (Wake) displays higher levels of significance, while counties with the lowest temperature ranges (New Hanover and Pitt) are almost entirely insignificant. Self-harm and suicidal ideation peak in the warm months (July) and generally exhibit a protective effect at lower temperatures and shorter lag intervals. Whereas anxiety, depression, and major depressive disorders peak in the cooler months (May and September). Suicide is the only outcome that favored a 20-day lag period in the sensitivity analysis, although the association with temperature was insignificant. Our findings suggest additional research is needed across a suite of mental health outcomes to fully understand the effects of temperatures on mental health.