Long-term exposure to fine particulate matters(PM_(2.5))has been associated with respiratory and cardiovascular diseases and the burden are potentially higher in China experiencing heavy air pollution.In this study,we...Long-term exposure to fine particulate matters(PM_(2.5))has been associated with respiratory and cardiovascular diseases and the burden are potentially higher in China experiencing heavy air pollution.In this study,we established the exposure-response association between long-term exposures to PM_(2.5)and lung function and blood pressure in Chinesemiddle-aged and older adults using linearmixed-effects and generalized additive mixedmodels based on 3 waves longitudinal health outcomes data by enrolling 19,988 participants from 121 cities across themainland of China.We also assessed the effect of Clean Air Policy(CAP)based on a quasi-experimental difference-in-differences(DID)design.A 10μg/m^(3)increase in PM_(2.5)concentration was associated with a 7.18(95%confidence interval[CI]:-8.35,-6.02)L/min decrease in PEF(peak expiratory flow)and a 0.72(95%[CI]:0.53,0.90)and a 0.30(95%[CI]:0.18,0.42)mmHg increase in systolic and diastolic blood pressure,respectively.The associations were more pronounced in males and rural areas for PEF,but similar across subgroups for blood pressure.DID results suggested that the effect of CAP on health outcomes were sensitive tomagnitudes of reduction in PM_(2.5).A 5μg/m^(3)reduction in PM_(2.5)or more generally led to 18.70(95%[CI]:0.79,36.61)higher PEF and-2.05(95%[CI]:-3.87,-0.23)lower diastolic blood pressure,respectively,compared to no reduction or increase in exposure.However,the effects were significant only in rural areas.Our analysis support CAP aiming to benefit public health and provides insights to inform future control policy for efficiently decreasing air pollution exposure burden.展开更多
Long-term exposure to fine particulate matter(PM_(2.5))has been linked with adverse mental health outcomes.However,questions remain regarding the nature of lagged effects over time and by extension potential benefits ...Long-term exposure to fine particulate matter(PM_(2.5))has been linked with adverse mental health outcomes.However,questions remain regarding the nature of lagged effects over time and by extension potential benefits over time of continued reduction in pollution.Here,we aim to estimate the long-term association between exposure to PM_(2.5)and depressive symptoms in China utilizing longitudinal models for prolonged exposures as well as a quasi-experimental design utilizing data from 23151 participants over 4 longitudinal waves that occurred in 124 cities in China between 2011 to 2018.Mixed-effects models as well as distributed lag nonlinear mixed models were fitted to assess the relationship between PM_(2.5)and depressive symptoms.We also assessed the effect of the Clean Air Policy(CAP)based on a quasi-experimental difference-in-differences(DID)design.The overall average PM_(2.5)concentrations generally declined with time from 59.40 to 39.35μg/m^(3).A 10μg/m^(3)increase in PM_(2.5)concentration was associated with a 0.86%increase(95%confidence interval[CI]:0.1,1.64%)in depression score based on the first three waves of data.However,the associations were sensitive to secular trends.Flexible exposure-lag-response analysis indicated a potentially influential window for lag-years 0-6.Reduction in PM_(2.5)led to 19.51%([CI]:11.57%,26.73%)and 28.18%,([CI]:5.87%,45.2%)lower depressive scores in waves 3 and 4,respectively,compared to no reduction or increase in exposures.Our analysis suggests an association between PM_(2.5)and depressive symptoms with potential long-term effects of air pollution as well as potential for continued benefit of air pollution reduction over time.展开更多
基金supported by the National Institute of Environmental Health Sciences(NIEHS)of United States(No.R00ES027511)the National Natural Science Foundation of China(No.42201303).
文摘Long-term exposure to fine particulate matters(PM_(2.5))has been associated with respiratory and cardiovascular diseases and the burden are potentially higher in China experiencing heavy air pollution.In this study,we established the exposure-response association between long-term exposures to PM_(2.5)and lung function and blood pressure in Chinesemiddle-aged and older adults using linearmixed-effects and generalized additive mixedmodels based on 3 waves longitudinal health outcomes data by enrolling 19,988 participants from 121 cities across themainland of China.We also assessed the effect of Clean Air Policy(CAP)based on a quasi-experimental difference-in-differences(DID)design.A 10μg/m^(3)increase in PM_(2.5)concentration was associated with a 7.18(95%confidence interval[CI]:-8.35,-6.02)L/min decrease in PEF(peak expiratory flow)and a 0.72(95%[CI]:0.53,0.90)and a 0.30(95%[CI]:0.18,0.42)mmHg increase in systolic and diastolic blood pressure,respectively.The associations were more pronounced in males and rural areas for PEF,but similar across subgroups for blood pressure.DID results suggested that the effect of CAP on health outcomes were sensitive tomagnitudes of reduction in PM_(2.5).A 5μg/m^(3)reduction in PM_(2.5)or more generally led to 18.70(95%[CI]:0.79,36.61)higher PEF and-2.05(95%[CI]:-3.87,-0.23)lower diastolic blood pressure,respectively,compared to no reduction or increase in exposure.However,the effects were significant only in rural areas.Our analysis support CAP aiming to benefit public health and provides insights to inform future control policy for efficiently decreasing air pollution exposure burden.
基金supported by the National Natural Science Foundation of China(Grant No.42225104)National Institute of Environmental Health Sciences(NIEHS)of the United States(Grant No.R00ES027511)+2 种基金National Natural Science Foundation of China(Grant No.42201303)National Natural Science Foundation of China(Grant No.U21A2010)Thanks to support from the Foundamental Research Youth Team Project of the Chinese Academy of Science.
文摘Long-term exposure to fine particulate matter(PM_(2.5))has been linked with adverse mental health outcomes.However,questions remain regarding the nature of lagged effects over time and by extension potential benefits over time of continued reduction in pollution.Here,we aim to estimate the long-term association between exposure to PM_(2.5)and depressive symptoms in China utilizing longitudinal models for prolonged exposures as well as a quasi-experimental design utilizing data from 23151 participants over 4 longitudinal waves that occurred in 124 cities in China between 2011 to 2018.Mixed-effects models as well as distributed lag nonlinear mixed models were fitted to assess the relationship between PM_(2.5)and depressive symptoms.We also assessed the effect of the Clean Air Policy(CAP)based on a quasi-experimental difference-in-differences(DID)design.The overall average PM_(2.5)concentrations generally declined with time from 59.40 to 39.35μg/m^(3).A 10μg/m^(3)increase in PM_(2.5)concentration was associated with a 0.86%increase(95%confidence interval[CI]:0.1,1.64%)in depression score based on the first three waves of data.However,the associations were sensitive to secular trends.Flexible exposure-lag-response analysis indicated a potentially influential window for lag-years 0-6.Reduction in PM_(2.5)led to 19.51%([CI]:11.57%,26.73%)and 28.18%,([CI]:5.87%,45.2%)lower depressive scores in waves 3 and 4,respectively,compared to no reduction or increase in exposures.Our analysis suggests an association between PM_(2.5)and depressive symptoms with potential long-term effects of air pollution as well as potential for continued benefit of air pollution reduction over time.
