Maheshwari Vansh, Negandhi Preeti, Jaggi Vikram, Batra Supreet, Prabhakaran Poornima, Menon Jyothi S
Indian Institute of Public Health-Delhi, Public Health Foundation of India, Delhi, India.
Asthma Chest & Allergy Centre, Delhi, India.
J Health Pollut. 2024 Aug 15;12(1-4):017001. doi: 10.1289/JHP1003. eCollection 2024 Dec.
Patients with asthma are a population at risk for depression and subsequent mental health risks. Previous studies have suggested that exposure to air pollution is associated with lower asthma control and a higher risk of depression. There is limited evidence on the effect of short-term exposure to air pollution on mental health in susceptible populations, such as patients with asthma.
The objective of the present study was to assess the association between short-term exposure ( ) to air pollution and depression in patients with asthma.
This hospital-based cross-sectional study included 151 consecutively recruited 18- to 65-y-old patients with asthma from two sites in Delhi, India. The Asthma Control Test and the Patient Health Questionnaire-9 were respectively used to assess asthma control and depression status. Data on particulate matter [PM in aerodynamic diameter ( and , respectively)], nitrogen dioxide ( ), sulfur dioxide ( ), carbon monoxide (CO), and ozone ( ) were procured from Central Pollution Control Board (CPCB) air quality monitors, and 1-month average exposures were computed using inverse distance weighting (IDW) based on participant residence and workplace address. Ordinal and binary logistic regressions were respectively used to assess the associations for depression status and asthma control with per-unit interquartile range (IQR) increase of air pollution exposure. Sensitivity analyses were conducted using two-pollutant models and mediation effects were evaluated using the Karlson-Holm-Breen method.
Among all participants, 58.3% exhibited depression, and 73.5% had uncontrolled asthma. Adjusted ordinal regression revealed significant associations of , , , and with increased severity of depression [adjusted odds ratio (aOR) for IQR increase for (95% CI: 1.27, 2.16), (95% CI: 1.22, 2.22), (95% CI: 1.31, 4.73), and (95% CI: 1.09, 1.66)]. Similarly, each IQR increase in these pollutants corresponded to significantly lower odds of asthma control [aOR for IQR increase for (95% CI: 0.50, 0.98), (95% CI: 0.47, 0.99), (95% CI: 0.13, 0.65), and (95% CI: 0.47, 0.97)]. Asthma control significantly mediated 24.97% and 25.84% of the association of and exposure, respectively, with depression status. exposure was not associated with depression status or asthma control.
Our study shows that greater short-term exposure to air pollution may be associated with increased odds of depression and uncontrolled asthma in patients with asthma. Further studies are required to replicate our results and confirm this association. https://doi.org/10.1289/JHP1003.
哮喘患者是抑郁症及后续心理健康风险的高危人群。既往研究表明,接触空气污染与哮喘控制不佳及抑郁症风险较高有关。关于短期接触空气污染对哮喘等易感人群心理健康影响的证据有限。
本研究的目的是评估哮喘患者短期接触空气污染与抑郁症之间的关联。
这项基于医院的横断面研究纳入了印度德里两个地点连续招募的151例18至65岁的哮喘患者。分别使用哮喘控制测试和患者健康问卷-9来评估哮喘控制情况和抑郁状态。从中央污染控制委员会(CPCB)空气质量监测仪获取空气动力学直径分别为[PM ( 和 )]、二氧化氮( )、二氧化硫( )、一氧化碳(CO)和臭氧( )的数据,并根据参与者的居住和工作地址,使用反距离加权法(IDW)计算1个月的平均暴露量。分别使用有序和二元逻辑回归来评估空气污染暴露每增加一个单位四分位数间距(IQR)时抑郁状态和哮喘控制的关联。使用双污染物模型进行敏感性分析,并使用卡尔森-霍尔姆-布林方法评估中介效应。
在所有参与者中,5