Although Ahvaz is considered as one of the warmest cities around the world, few epidemiological studies have been conducted on the adverse effects of temperature on human health using thermal indices in this city. This study investigates the relation between physiologically equivalent temperature (PET) and respiratory hospital admissions in Ahvaz. Distributed lag non-linear models (DLNMs) combined with quasi-Poisson regression models were used to investigate the relation between PET and respiratory disease hospital admissions, adjusted for the effect of time trend, air pollutants (NO₂, SO₂, and PM₁₀), and weekdays. The analysis was performed by utilizing R software. Low PET values significantly decreased the risk of hospital admissions for total respiratory diseases, respiratory diseases in men and women, chronic obstructive pulmonary diseases (COPD), and bronchiectasis. However, low PET (16.9°C) in all lags except lag 0–30 significantly increased the risk of hospital admissions for asthma. The results indicate that in Ahvaz, which has a warm climate, cold weather decreased overall respiratory hospital admissions, except for asthma.

尽管阿瓦士被认为是世界上最温暖的城市之一，但很少使用该城市的热指数对温度对人类健康的不利影响进行流行病学研究。本研究调查了阿瓦士的生理等效温度 (PET) 与呼吸系统住院率之间的关系。使用分布式滞后非线性模型（DLNMs）结合准泊松回归模型研究PET与呼吸系统疾病入院率之间的关系，调整时间趋势、空气污染物（NO ₂、SO ₂和PM _{10 的影响）}) 和工作日。利用R软件进行分析。低 PET 值显着降低了总呼吸系统疾病、男性和女性呼吸系统疾病、慢性阻塞性肺疾病 (COPD) 和支气管扩张的住院风险。然而，除延迟 0-30 外，所有延迟中的低 PET (16.9°C) 显着增加了因哮喘入院的风险。结果表明，在气候温暖的阿瓦士，寒冷的天气减少了除哮喘外的呼吸系统住院总人数。