Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Front Public Health. 2024 May 30;12:1343550. doi: 10.3389/fpubh.2024.1343550. eCollection 2024.
The precise associations between temperature-related indices and mental and behavioral disorders (MBDs) have yet to be fully elucidated. Our study aims to ascertain the most effective temperature-related index and assess its immediate impact on emergency ambulance dispatches (EADs) due to MBDs in Shenzhen, China.
EADs data and meteorological data from January 1, 2013, to December 31, 2020, in Shenzhen were collected. Distributed lag non-linear models (DLNMs) were utilized to examine the non-linear and lagged effects of temperature-related indices on EADs due to MBDs. The Quasi Akaike Information criterion (QAIC) was used to determine the optimal index after standardizing temperature-related indices. After adjusting for confounding factors in the model, we estimated the immediate and cumulative effects of temperature on EADs due to MBDs.
The analysis of short-term temperature effects on EADs due to MBDs revealed Humidex as the most suitable index. Referring to the optimal Humidex (3.2 percentile, 12.00°C), we observed a significant effect of Humidex over the threshold (34.6 percentile, 26.80°C) on EADs due to MBDs at lag 0-5. The cumulative relative risks for high temperature (90 percentile, 41.90°C) and extreme high temperature (99 percentile, 44.20°C) at lag 0-5 were 1.318 (95% CI: 1.159-1.499) and 1.338 (95% CI: 1.153-1.553), respectively. No significant cold effect was observed on EADs due to MBDs.
High Humidex was associated with more EADs due to MBDs in subtropical regions. Health authorities should implement effective measures to raise public awareness of risks related to high temperature and protect vulnerable populations.
温度相关指标与精神和行为障碍（MBD）之间的确切关联尚未完全阐明。我们的研究旨在确定最有效的温度相关指标，并评估其在中国深圳对 MBD 导致的紧急救护车派遣（EAD）的即时影响。
收集了 2013 年 1 月 1 日至 2020 年 12 月 31 日深圳市的 EAD 数据和气象数据。使用分布式滞后非线性模型（DLNMs）来检查与 MBD 相关的温度相关指标对 EAD 的非线性和滞后影响。使用准 Akaike 信息准则（QAIC）在标准化温度相关指标后确定最佳指标。在模型中调整混杂因素后，我们估计了温度对 MBD 导致的 EAD 的即时和累积影响。
对 MBD 导致的 EAD 的短期温度效应分析表明，Humidex 是最合适的指标。参考最佳 Humidex（第 3.2 百分位数，12.00°C），我们观察到 Humidex 超过阈值（第 34.6 百分位数，26.80°C）对 MBD 导致的 EAD 的显著影响在滞后 0-5 时。高温（第 90 百分位数，41.90°C）和极端高温（第 99 百分位数，44.20°C）在滞后 0-5 时的累积相对风险分别为 1.318（95%CI：1.159-1.499）和 1.338（95%CI：1.153-1.553）。未观察到 MBD 导致的 EAD 的低温显著影响。
在亚热带地区，高 Humidex 与更多的 MBD 导致的 EAD 相关。卫生当局应采取有效措施，提高公众对高温相关风险的认识，并保护弱势群体。
