RATIONALE: Recent experimental and clinical studies suggest that exogenous carbon monoxide (CO) at lower concentrations may have beneficial effects under certain circumstances, whereas population-based epidemiologic studies of environmentally relevant CO exposure generated mixed findings. OBJECTIVES: To examine the acute effects of ambient CO on respiratory tract infection (RTI) hospitalizations. METHODS: A time series study was conducted. Daily emergency hospital admission and air pollution data in Hong Kong were collected from January 2001 to December 2007. Log-linear Poisson models were used to estimate the associations between daily hospital admissions for RTI and daily average concentrations of CO across three background air monitoring stations and three roadside stations, respectively, controlling for other traffic-related copollutants. MEASUREMENTS AND MAIN RESULTS: CO concentrations were low during the study period with a daily average of 0.6 ppm in background stations and 1.0 ppm in roadside stations. Negative associations were found between ambient CO concentrations and daily hospital admissions for RTI. One ppm increase in background CO at lag 0-2 days was associated with -5.7% (95% confidence interval, -9.2 to -2.1) change in RTI admissions from the whole population according to single-pollutant model; the negative association became stronger when nitrogen dioxide or particulate matter with aerodynamic diameter less than 10 μm was adjusted for in two-pollutant models. The negative association seemed to be stronger in the adults than in the children and elderly. CONCLUSIONS: Short-term exposure to ambient CO was associated with decreased risk of hospital admissions for RTI, suggesting some acute protective effects of low ambient CO exposure on respiratory infection.
RATIONALE: Recent experimental and clinical studies suggest that exogenous carbon monoxide (CO) at lower concentrations may have beneficial effects under certain circumstances, whereas population-based epidemiologic studies of environmentally relevant CO exposure generated mixed findings. OBJECTIVES: To examine the acute effects of ambient CO on respiratory tract infection (RTI) hospitalizations. METHODS: A time series study was conducted. Daily emergency hospital admission and air pollution data in Hong Kong were collected from January 2001 to December 2007. Log-linear Poisson models were used to estimate the associations between daily hospital admissions for RTI and daily average concentrations of CO across three background air monitoring stations and three roadside stations, respectively, controlling for other traffic-related copollutants. MEASUREMENTS AND MAIN RESULTS:CO concentrations were low during the study period with a daily average of 0.6 ppm in background stations and 1.0 ppm in roadside stations. Negative associations were found between ambient CO concentrations and daily hospital admissions for RTI. One ppm increase in background CO at lag 0-2 days was associated with -5.7% (95% confidence interval, -9.2 to -2.1) change in RTI admissions from the whole population according to single-pollutant model; the negative association became stronger when nitrogen dioxide or particulate matter with aerodynamic diameter less than 10 μm was adjusted for in two-pollutant models. The negative association seemed to be stronger in the adults than in the children and elderly. CONCLUSIONS: Short-term exposure to ambient CO was associated with decreased risk of hospital admissions for RTI, suggesting some acute protective effects of low ambient CO exposure on respiratory infection.
Authors: Hualiang Lin; Tao Liu; Jianpeng Xiao; Weilin Zeng; Lingchuan Guo; Xing Li; Yanjun Xu; Yonghui Zhang; Jen Jen Chang; Michael G Vaughn; Zhengmin Min Qian; Wenjun Ma Journal: J Expo Sci Environ Epidemiol Date: 2016-11-02 Impact factor: 5.563
Authors: Michael Weitzman; Afzal Hussein Yusufali; Fatma Bali; M J Ruzmyn Vilcassim; Shashank Gandhi; Richard Peltier; Arthur Nadas; Scott Sherman; Lily Lee; Zhang Hong; Jenni Shearston; Su Hyun Park; Terry Gordon Journal: Tob Control Date: 2016-10-26 Impact factor: 7.552
Authors: Ran Li; Ning Jiang; Qichen Liu; Jing Huang; Xinbiao Guo; Fan Liu; Zhancheng Gao Journal: Int J Environ Res Public Health Date: 2017-01-05 Impact factor: 3.390