scholarly journals The epidemiological trends in the burden of lung cancer attributable to PM2.5 exposure in China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaomei Wu ◽  
Bo Zhu ◽  
Jin Zhou ◽  
Yifei Bi ◽  
Shuang Xu ◽  
...  

Abstract Objective PM2.5, which is a major contributor to air pollution, has large effects on lung cancer mortality. We want to analyse the long-term trends in lung cancer burden attributable to PM2.5 exposure and provide evidence that can be used for preventive measures and health resource planning. Methods Mortality data related to lung cancer were obtained from the Global Burden of Disease (GBD) 2019 project. A joinpoint regression analysis was used to assess the magnitude and direction of the trends in mortality from 1990 to 2019, and the age-period-cohort method was used to analyse the temporal trends in the mortality rate of lung cancer attributable to PM2.5 exposure by age, period, and cohort. Results From 1990 to 2019, the age-standardized mortality rate (ASMR) attributable to PM2.5 exposure trended slowly upwards, and the ASMR due to ambient PM2.5 exposure (APE) increased significantly, that due to household PM2.5 exposure (HPE) decreased. The longitudinal age curves show that the mortality rates due to PM2.5 exposure among younger individuals were low, and they significantly increased from their levels among those in the 45–49 age group to their levels among those in the over-85 age group. From 1990 to 2019, the period RRs due to APE increased, but those due to HPE decreased. Similar trends were observed in the cohort RRs. The overall net drift per year attributable to PM2.5 exposure was below 0. The local drift values increased with age and were above 0 for the over-80 age groups. The overall net drifts per year were above zero for APE and below zero for HPE. The corresponding results among males were higher than those among females. Conclusions In China, the type of air pollution responsible for lung cancer has changed from household air pollution to ambient air pollution. PM2.5 exposure is more harmful among males and older people. Ambient air pollution should be emphasized, and China should strengthen its implementation of effective public policies and other interventions.

2020 ◽  
Author(s):  
xiaomei wu ◽  
Bo Zhu ◽  
Jin Zhou ◽  
Yifei Bi ◽  
Shuang Xu ◽  
...  

Abstract Objective Air pollution is the major contributor of lung cancer mortality, we want to analyze the long-term trends and the differences in lung cancer burden attributable to PM2.5 exposure between ambient air pollution and household air pollution.Methods The indicators (mortality rate, disability-adjusted life years rate, years lived with disability rate, and years of life lost rate) of lung cancer burden were obtained from GBD 2017. The joinpoint regression analysis was used to assess the magnitude and direction of trends from 1990 to 2017, and the age-period-cohort method was used to analyze the temporal trends of the indicators of lung cancer by age, period, and cohort.Results The age-standardized indicators showed an upward trend in ambient PM2.5 exposure (APE) and a downward trend in household PM2.5 exposure (HPE). The overall net drifts per year were above zero for APE and below zero for HPE, and the local drift values in APE and HPE increased by age groups. For the longitudinal age curves, the indicators of lung cancer burden for younger in APE or HPE were in a low level, and significantly increased from 45-49 age group to 90-94 age group. For the period RRs, the indicators of lung cancer burden in APE increased from 1990 to 2017, but decreased in HPE from 1990 to 2017. For the cohort RRs, the indicators of lung cancer burden in APE was on the upward trend before 1965, and fluctuated after from 1970 to 1990. The indicators of lung cancer burden in HPE was on the downward trend.Conclusions For lung cancer attributable to air pollution, China had changed from household air pollution to ambient air pollution. PM2.5 exposure had more harmful in male and older people. Ambient air pollution should be emphasized, China should strengthen implementation of effective public policies and other interventions.


2019 ◽  
Vol 3 (6) ◽  
pp. e076
Author(s):  
Shilpa N. Gowda ◽  
Anneclaire J. DeRoos ◽  
Rebecca P. Hunt ◽  
Amanda J. Gassett ◽  
Maria C. Mirabelli ◽  
...  

2019 ◽  
Vol 146 (9) ◽  
pp. 2450-2459 ◽  
Author(s):  
Li Bai ◽  
Saeha Shin ◽  
Richard T. Burnett ◽  
Jeffrey C. Kwong ◽  
Perry Hystad ◽  
...  

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Heather Strosnider* ◽  
Howard Chang ◽  
Lyndsey Darrow ◽  
Yang Liu ◽  
Ambarish Vaidyanathan ◽  
...  

Epidemiology ◽  
1996 ◽  
Vol 7 (Supplement) ◽  
pp. S22
Author(s):  
X TAO ◽  
H ZHU ◽  
G M MATANOSKI ◽  
X ZHAO ◽  
J PENG

2019 ◽  
Vol 129 (3) ◽  
pp. 72-74
Author(s):  
Mieczysław Szyszkowicz

Abstract Introduction. Among many problems present in studies evaluating associations between health conditions and exposure to ambient air pollution, there is the correlation between environmental factors. These issues are usually resolved by providing a correlation matrix for the parameters of interest. Aim. To explore correlations between environmental factors. Material and methods. As sample data we use environmental factors presented in Milan mortality data (Italy, 1980-1989) and emergency department visits for asthma in Windsor (Canada, 2004-2010). Here, we propose to use a series of quantile regression evaluations to emphasize and identify dependency among environmental factors. Results. This presentation outlines an important role to investigate the potential correlations among ambient air pollutants, weather factors, and the values of the Canadian Air Quality Health Index (AQHI). In environmental epidemiology studies, these components are usually used in a common statistical model. Their correlations affect the values of the estimated relative risks, odds ratios or other estimated health effects. The presented approach examines associations among the factors as well as changes in correlations along quantiles. The examples used in this study explain various environmental phenomena; for example, the negative relationship between ambient ozone and nitrogen dioxide. Conclusions. By a consequence, this work can aid in further developing policies aimed at reducing the health impacts of air pollution as it allows to identify highly correlated factors in the constructed models.


2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Jada L. Brooks ◽  
Anne Weaver ◽  
Maggie Li ◽  
Baiming Zou ◽  
Jessica A. Reese ◽  
...  

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