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Background Ozone (O3) pollution has gradually become a primary problem of air pollution in recent years. Conducting epidemiological studies on the correlation between O3 concentration variation and risk of cardiovascular and cerebrovascular diseases can provide reference data for O3 risk assessment and related policy making. Objective To quantitatively evaluate the effects of O3 exposure on mortalities of cardiovascular and cerebrovascular diseases among residents in Minhang District, Shanghai. Methods Data of mortalities of cardiovascular and cerebrovascular diseases, air pollutants, and meteorological factors in Minhang District of Shanghai from January 1, 2016 to December 31, 2021 were collected. Associations between O3 concentration and the mortalities due to total cardiovascular and cerebrovascular diseases, coronary heart disease, and stroke were analyzed by generalized additive models with a quasi Poisson distribution with different lag patterns, such as current day effect (lag0), single-day lag effects (lag1-lag3), and cumulative lag effects (lag01-lag03). The subgroup analyses of age, sex, and season were conducted. Furthermore, temperature was divided into low, middle, and high levels based on the 25th percentile (P25) and the 75th percentile (P75) to perform hierarchical analyses. Increased excess risks (ER) of death from target diseases caused by a 10 µg·m−3 increase in daily maximum 8 h concentration of O3 (O3-8 h) and their 95% confidence intervals (CI) were used to indicate the effects of O3. Results The associations between O3 and the risks of death from cardiovascular and cerebrovascular diseases were statistically significant at lag2, lag3, lag02, and lag03 (P<0.05), with the greatest effect size observed at lag03. The ER values of death from cardiovascular and cerebrovascular diseases in general population, male residents, and people aged 65 years and older, from coronary heart disease in male residents, and from stroke in general population increased by 1.02% (95%CI: 0.36%, 1.69%), 1.40% (95%CI: 0.47%, 2.34%), 0.87% (95%CI: 0.19%, 1.55%), 1.96% (95%CI: 0.49%, 3.44%), and 1.02% (95%CI: 0.07%, 1.98%) for a 10 µg·m−3 increase in O3-8 h concentration at lag03, respectively. During the warm season (from April 1 to September 30), the ER values of death from cardiovascular and cerebrovascular diseases and coronary heart disease per 10 µg·m−3 increase in O3 were 1.18% (95%CI: 0.33%, 3.33%) and 2.69% (95%CI: 0.39%, 5.03%), while the O3 effect was only statistically significant on cardiovascular and cerebrovascular diseases during the cold season (from October 1 to March 31 next year). At the middle and high temperature levels, the ER values of death from cardiovascular and cerebrovascular diseases increased by 1.63% (95%CI: 0.32%, 2.96%) and 1.14% (95%CI: 0.17%, 2.12%) respectively. The two-pollutant models showed similar results after including other pollutants (carbon monoxide, nitrogen dioxide, sulfur dioxide, fine particulate matter, or inhalable particulate matter). Conclusion Ambient O3 pollution may increase the mortality risks of cardiovascular and cerebrovascular diseases, coronary heart disease, and stroke in Minhang District of Shanghai.
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Accumulating studies suggest that, as the subway is one of the important means of transport in cities, airborne microorganisms in its system have potential effects on human health, but previous studies have mainly focused on some foreign cities. We reviewed the spatio-temporal distribution characteristics of airborne microorganisms in subway stations in different cities, including diurnal, weekly, and seasonal variations, and the distribution of microorganisms in different regions of the world. The factors affecting airborne microorganisms, such as human activities, temperature and humidity, ventilation, and particulate matter, were presented. The potential health effects were described. Although there was no significant risk of infection from using subway, many pathogens do exist in the air. The influence of microorganisms in subway air on health has become a public health problem that cannot be ignored.
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ObjectiveThe study aimed to quantitatively evaluate the short-term effects of ultrafine particles （UFPs） exposure on the occurrence and mortality of cardio-cerebrovascular diseases. MethodsThe number of daily cases of cardio-cerebrovascular events， including stroke and acute myocardial infarction， and mortality of cardio-cerebrovascular diseases， daily concentrations of air pollutants and weather conditions in Minhang， Shanghai from January 1， 2016 to December 31， 2018 were collected. Associations between UFPs and the number of daily cases and deaths were analyzed by the general additive Poisson regression model with the control of meteorological variables， day-of-the-week effects and time trends. Increased percentages of the number of daily cases and deaths and 95%CI were used to indicate the short-term effects of UFPs. ResultsDuring the study period， in the single-pollutant model， an increase of 2022 particles/cm3 showed significant effects with 5.01%（95%CI： 1.22%‒8.94%）and 6.05%（95%CI： 1.53%‒10.80%）increments in the percentages of the number of daily cases and deaths respectively. After adjusting other pollutants in the two-pollutant model， statistically significant associations were also observed. ConclusionUFPs exposure has acute impacts on the occurrence and mortality of cardio-cerebrovascular diseases.
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OBJECTIVE: To investigate the current status of quality of working life( QWL) among medical staffs in Minhang District,Shanghai City,and to explore the relationship between QWL and occupational stress. METHODS: A stratified sampling method was used to select 522 medical staffs in Minhang District,Shanghai City. The QWL and occupational stress were assessed using the Quality of Working Life Scale and the Effort-Reward Imbalance Questionnaire,respectively.RESULTS: The total score of QWL of medical staffs was( 97. 7 ± 13. 8),and the detection rate of high occupational stress was34. 7%( 181/522). The total QWL score of medical workers in the high occupational stress group was lower than that in the low occupational stress group( P < 0. 01). The results of multivariable logistic regression analysis showed that occupational stress and average weekly working time were risk factors of reduction in QWL( P < 0. 01). CONCLUSION: Occupational stress is the influencing factor of QWL. The increased occupational stress may reduce the QWL of medical personnel.
