Kocak Mehmet, Kocak Asli Nurefsan
International School of Medicine, Istanbul Medipol University Beykoz Istanbul Turkey.
Public Health Chall. 2024 Sep 18;3(3):e70003. doi: 10.1002/puh2.70003. eCollection 2024 Sep.
Asthma, chronic obstructive pulmonary disease (COPD), and pneumonia are significant contributors to morbidity and mortality worldwide. Identifying the predictors of mortality due to these diseases is crucial for effective public health interventions.
We conducted a longitudinal trajectory modeling using SAS TRAJ procedures on data from 81 provinces in Turkiye, categorizing death rates into two profiles for asthma and COPD and three for pneumonia. Environmental and socioeconomic factors were examined as potential predictors through logistic regression modeling.
For asthma, none of the predictors met the false discovery rate (FDR) threshold for significance, suggesting the need for further research. In contrast, COPD predictors showed robust associations with mortality rates, particularly concerning environmental factors such as humidity and temperature. Pneumonia mortality was significantly associated with factors, including air pressure, humidity, temperature, alcohol use, and particulate matter.
The study reveals distinct mortality profiles for respiratory diseases and highlights the importance of environmental and lifestyle factors as predictors. These findings emphasize the need for targeted public health strategies and interventions to manage these diseases effectively.
哮喘、慢性阻塞性肺疾病(COPD)和肺炎是全球发病和死亡的重要原因。确定这些疾病导致死亡的预测因素对于有效的公共卫生干预至关重要。
我们使用SAS TRAJ程序对土耳其81个省份的数据进行了纵向轨迹建模,将哮喘和COPD的死亡率分为两种模式,肺炎的死亡率分为三种模式。通过逻辑回归建模将环境和社会经济因素作为潜在预测因素进行了研究。
对于哮喘,没有一个预测因素达到显著的错误发现率(FDR)阈值,这表明需要进一步研究。相比之下,COPD的预测因素与死亡率显示出强烈的关联,特别是与湿度和温度等环境因素有关。肺炎死亡率与气压、湿度、温度、饮酒和颗粒物等因素显著相关。
该研究揭示了呼吸道疾病不同的死亡率模式,并强调了环境和生活方式因素作为预测因素的重要性。这些发现强调了需要有针对性的公共卫生策略和干预措施来有效管理这些疾病。