Objective Evidence that long-term exposure to ambient air pollution increases mortality among older adults,particularly those residing in low-level air pollution locations,remains scarce.This study investigated the po...Objective Evidence that long-term exposure to ambient air pollution increases mortality among older adults,particularly those residing in low-level air pollution locations,remains scarce.This study investigated the potential links between long-term low-level air pollution exposure and mortality among Chinese older adults.Methods A population-based study with 317,464 individuals aged≥65 years was conducted in Shenzhen,China during 2018 and 2020.Logistic regression models were used to analyze the associations between long-term exposure to air pollution and all-cause mortality,as the primary outcome,as well as non-accidental,cancer and cardiovascular mortality.Results Significant associations of PM1,PM_(2.5),PM_(10),SO_(2),CO,and O3 exposures with a higher risk of all-cause mortality were found.Adjusted odds ratio(OR)for each 1μg/m^(3) increment was 1.49[95%confidence interval(CI):1.46,1.53]for PM1,1.30(1.27,1.32)for PM_(2.5),1.05(1.04,1.06)for PM_(10),5.84(5.39,6.32)for SO_(2),1.04(1.04,1.05)for CO,and 1.02(1.00,1.03)for O3,respectively.Long-term PM1,PM_(2.5),PM_(10),SO_(2),and CO exposures also elevated the risks of non-accidental,cancer and cardiovascular mortality.Conclusion Long-term low-level air pollution exposure was associated with an increased mortality risk among Chinese older adults.展开更多
The importance of a national or regional network of meteorological stations for improving weather predictions has been recognized for many years.Ground-based automatic weather stations typically observe weather at a h...The importance of a national or regional network of meteorological stations for improving weather predictions has been recognized for many years.Ground-based automatic weather stations typically observe weather at a height of 2-10 m above ground level(AGL);however,these observations may have two major shortcomings.Large portions of data cannot be used if the station height is significantly lower than the model surface level;and such observations may contain large representativity errors as near-surface observations are often affected by the local environment,such as nearby buildings and tall trees.With the recent introduction of a significant number of mobile communication towers that are typically over40 m AGL in China,a campaign has been proposed to use such towers to build a future observing system with an observing height of 40 m.A series of observing system simulation experiments has been conducted to assess the potential utility of such a future observing system as part of a feasibility study.The experiments were conducted using the Weather Research and Forecasting model and its Rapid Update Cycle data assimilation system.The results revealed the possibility of improving weather forecasting by raising present weather stations to a height of 40 m;this would not only enable more observations to pass the terrain check,but should also reduce interpolation errors.Additionally,improvements for temperature,humidity and wind forecasting could be achieved as the accuracy of the initial conditions increases.展开更多
Emerging evidence suggests that heat waves and ozone(O_(3))contribute to increased mortality risks.Since widowhood is a common event that can increase individuals'susceptibility to the environment,it is of great i...Emerging evidence suggests that heat waves and ozone(O_(3))contribute to increased mortality risks.Since widowhood is a common event that can increase individuals'susceptibility to the environment,it is of great importance and interest to elucidate the widowhood disparity in mortality attributable to heat waves and O_(3).We therefore conducted a case-crossover study of 1,214,763 nonaccidental deaths in Jiangsu Province,China,during 2015–2021 to investigate the independent and interactive associations of exposure to heat waves and O_(3) with mortality by widowhood status.Grid-level heat waves were defined by multiple combinations of apparent temperature thresholds and durations.Residential heat waves and O_(3) exposures were assessed using validated grid datasets.Conditional logistic regression models were applied for exposure-response analyses and evalua-tions of additive interactions.Exposure to heat waves and O_(3) was significantly associated with increased odds of mortality in both widowed(odds ratio for heat waves,1.25;O_(3),1.06 per interquartile range increase)and married subjects(1.08;1.03),and these associations were higher in widowed subjects.A significant synergistic interaction was observed between heat waves and O_(3),which was stronger in widowed subjects(relative excess odds due to interaction,0.14 vs.0.03).Up to 6.43%and 3.56%of deaths were attributable to heat waves,O_(3) pollution,and their compound events in widowed and married subjects,respectively.Our findings suggest that widowed individuals are more susceptible to heat waves and O_(3) and highlight the need to consider differences associated with widowhood disparities in preventing premature deaths due to heat waves and O_(3) exposures.展开更多
基金supported by the National Natural Science Foundation of China(grant no.82273631)the Science and Technology Planning Project of Shenzhen City,Guangdong Province,China(grant no.JCYJ20220531094410024)the Shenzhen Medical Key Discipline Construction Fund,Guangdong Province,China(grant no.SZXK065).
文摘Objective Evidence that long-term exposure to ambient air pollution increases mortality among older adults,particularly those residing in low-level air pollution locations,remains scarce.This study investigated the potential links between long-term low-level air pollution exposure and mortality among Chinese older adults.Methods A population-based study with 317,464 individuals aged≥65 years was conducted in Shenzhen,China during 2018 and 2020.Logistic regression models were used to analyze the associations between long-term exposure to air pollution and all-cause mortality,as the primary outcome,as well as non-accidental,cancer and cardiovascular mortality.Results Significant associations of PM1,PM_(2.5),PM_(10),SO_(2),CO,and O3 exposures with a higher risk of all-cause mortality were found.Adjusted odds ratio(OR)for each 1μg/m^(3) increment was 1.49[95%confidence interval(CI):1.46,1.53]for PM1,1.30(1.27,1.32)for PM_(2.5),1.05(1.04,1.06)for PM_(10),5.84(5.39,6.32)for SO_(2),1.04(1.04,1.05)for CO,and 1.02(1.00,1.03)for O3,respectively.Long-term PM1,PM_(2.5),PM_(10),SO_(2),and CO exposures also elevated the risks of non-accidental,cancer and cardiovascular mortality.Conclusion Long-term low-level air pollution exposure was associated with an increased mortality risk among Chinese older adults.
文摘The importance of a national or regional network of meteorological stations for improving weather predictions has been recognized for many years.Ground-based automatic weather stations typically observe weather at a height of 2-10 m above ground level(AGL);however,these observations may have two major shortcomings.Large portions of data cannot be used if the station height is significantly lower than the model surface level;and such observations may contain large representativity errors as near-surface observations are often affected by the local environment,such as nearby buildings and tall trees.With the recent introduction of a significant number of mobile communication towers that are typically over40 m AGL in China,a campaign has been proposed to use such towers to build a future observing system with an observing height of 40 m.A series of observing system simulation experiments has been conducted to assess the potential utility of such a future observing system as part of a feasibility study.The experiments were conducted using the Weather Research and Forecasting model and its Rapid Update Cycle data assimilation system.The results revealed the possibility of improving weather forecasting by raising present weather stations to a height of 40 m;this would not only enable more observations to pass the terrain check,but should also reduce interpolation errors.Additionally,improvements for temperature,humidity and wind forecasting could be achieved as the accuracy of the initial conditions increases.
基金supported by the Natural Science Foundation of Guangdong Province(2025A1515011041)the Key Project of Medical Science Research of Jiangsu Provincial Health Commission(K2023045)the Shenzhen Medical Research Fund(A2302033).
文摘Emerging evidence suggests that heat waves and ozone(O_(3))contribute to increased mortality risks.Since widowhood is a common event that can increase individuals'susceptibility to the environment,it is of great importance and interest to elucidate the widowhood disparity in mortality attributable to heat waves and O_(3).We therefore conducted a case-crossover study of 1,214,763 nonaccidental deaths in Jiangsu Province,China,during 2015–2021 to investigate the independent and interactive associations of exposure to heat waves and O_(3) with mortality by widowhood status.Grid-level heat waves were defined by multiple combinations of apparent temperature thresholds and durations.Residential heat waves and O_(3) exposures were assessed using validated grid datasets.Conditional logistic regression models were applied for exposure-response analyses and evalua-tions of additive interactions.Exposure to heat waves and O_(3) was significantly associated with increased odds of mortality in both widowed(odds ratio for heat waves,1.25;O_(3),1.06 per interquartile range increase)and married subjects(1.08;1.03),and these associations were higher in widowed subjects.A significant synergistic interaction was observed between heat waves and O_(3),which was stronger in widowed subjects(relative excess odds due to interaction,0.14 vs.0.03).Up to 6.43%and 3.56%of deaths were attributable to heat waves,O_(3) pollution,and their compound events in widowed and married subjects,respectively.Our findings suggest that widowed individuals are more susceptible to heat waves and O_(3) and highlight the need to consider differences associated with widowhood disparities in preventing premature deaths due to heat waves and O_(3) exposures.
