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Background Research on the relationship between ambient temperature and preterm birth has received increasing attention, but the conclusions of the previous literature are inconsistent. Objective To explore the impact of environmental temperature exposure in Ningbo on premature delivery of pregnant women. Methods The birth information, preterm birth data, and age of pregnant women from January 2016 to September 2020 were collected by the electronic medical record system of Ningbo Women’s and Children’s Hospital. Meteorological data for the same period were obtained through Ningbo Meteorological Bureau, including daily average temperature, daily average relative humidity, and daily average air pressure. Daily concentrations of SO2, NO2, and PM10 were derived through the air quality real-time release system on the website of Ningbo Environmental Protection Bureau. A distributed lag nonlinear model was used to analyze the impact of environmental temperature on preterm birth by stratifying pregnant women’s age and birth delivery mode. Results The incidence rate of preterm birth in Ningbo from 2016 to 2020 was 5.91%. The exposure-response curve between environmental temperature and preterm birth presented a “U” shape. Taking 22.5 ℃ as a reference, the cumulative effect of 31 ℃ (the 95th percentile) and 32 ℃ (the 99th percentile) over a 21-day lag on preterm delivery was statistically significant, and the related RR (95%CI) values were 1.67 (1.05-2.65) and 1.85 (1.09-3.14) respectively. The results of stratified analysis showed that among pregnant women ≥30 years old, the 21-day cumulative effects of 31 ℃ and 32 ℃ on preterm delivery were statistically significant, and the related RR (95%CI) values were 2.09 (1.08-4.05) and 2.36 (1.11-5.03) respectively; among pregnant women with natural delivery, the 21-day cumulative effect of 32 ℃ on preterm delivery was statistically significant, and the RR (95%CI) was 1.95 (1.02-3.74). Conclusion Exposure of pregnant women to high temperature during pregnancy could increase the risk of preterm birth, and there is a delayed cumulative effect.
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Objective@#To identify the most appropriate meteorological variable for forecasting the health risk of high temperatures.@*Methods@#The surveillance on causes of death, meteorological data and surveillance on air quality among registered residents in Ningbo City, Zhejiang Province during the period between May and October from 2013 to 2019 were collected. The association models of daily minimum temperature, average daily temperature, daily maximum temperature, daily minimum heat index, average daily heat index, daily maximum heat index, average daily apparent temperature and torridity index with deaths and years of life lost (YLL) were created using time series analysis and distributed lag non-linear models, and the model fitting effect was evaluated using the minimum Akaike information criterion (AIC) procedure. The most appropriate meteorological variable for forecasting gender-, age- and mortality-specific health risks of high temperatures was identified.@*Results@#A total of 120 628 deaths were reported during the study period, with daily deaths of 94 cases, and daily YLL rate of 19.74 person-years/105. Except for daily minimum heat index and torridity index, the exposure-response relationships between other six meteorological variables and deaths and overall YLL rate all appeared a “J” shape. The lowest AIC values and the optimal model fitting effects were measured for the association models between average daily temperature and whole populations, females, subjects at ages of 65 years and older, and deaths and YLL rates due to circulatory diseases and respiratory diseases.@*Conclusion@#High model fitting effects are observed between average daily temperature and deaths and YLL rates, which are more suitable for forecasting the health risk of high temperature.
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Objective@#To explore the short-term effects of ambient PM2.5 on the outpatient visits of chronic obstructive pulmonary disease (COPD) in Ningbo city.@*Methods@#Through the regional health information platform, number of daily COPD outpatients from the four general hospitals in Ningbo was gathered. Related data on meteorological and air pollution from 2014 to 2016 was also collected. Generalized additive model (GAM) of Possion regression was used to estimate the impact of PM2.5 pollution on COPD outpatients and the lagging effects.@*Results@#In cold (November- April) or warm seasons (May-October), an 10 μg/m3 increase of PM2.5 would result in the excessive number of COPD outpatients as 1.87% (95%CI: 0.98%-2.76%), 2.09% (95%CI: 1.11%-3.08%) and 2.56% (95%CI: 0.56%-4.59%), respectively. In terms of the short-term effects of PM2.5 the strongest was seen in the days of warm season but without delay (P<0.05). The strongest effect appeared at day 4 in cold season and the effect was particularly significant seen in the over 65 year-old group or in the female population. After the introduction of PM10, SO2 and NO2, the concentration of PM2.5, did not show significant effect on the number of hospital visits due to COPD on the same day (P>0.05). The effect of COPD on the fourth day showed a slight change after the lagging, and the effect was statistically significant (P<0.05).@*Conclusion@#The increase of PM2.5 concentration in Ningbo was related to the increase of COPD outpatient numbers. Effective prevention measures should be taken to protect the vulnerable population and to reduce the risk of COPD.
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Objective @#To explore season-specific association between ambient PM2.5 and outpatient visits for asthma in the urban areas of Ningbo.@*Methods @#Based on the platform of population health information,we collected daily outpatient visits for asthma in four general hospitals in the urban areas of Ningbo from 2014 to 2016. We also collected data of meteorological indicators and air pollutants during the same period from local weather bureau and environmental monitoring center. Generalized additive model（GAM）was applied to examining the relationship and lag effects between ambient PM2.5 and outpatient visits for asthma in different seasons. @*Results @#A total of 45 184 outpatients with asthma were reported from 2014 to 2016,with an average of 41.23 cases per day. The annual average concentration of PM2.5 in Ningbo was（43.12± 26.40）μg/m3 ,with the peak as（65.27± 34.51）μg/m3 in winter and the though as（27.34± 12.70）μg/m3 in summer. A 10 μg/m3 increase of PM2.5 were associated with 1.14%（95%CI：0.48%-1.81%）,2.40%（95%CI：0.22%-4.63%）and 1.37%（95%CI：0.28%-2.48%）increase of outpatient volume for asthma on the day in the whole year,summer and winter,respectively. In summer,males were at higher risk compared to females（P< 0.05）;in winter,people under 65 years old were at higher risk（P< 0.05）. Including NO2,the effect of PM2.5 on the excess risk of outpatient visits for asthma in summer was enhanced in two-pollutant models（P< 0.05）. @*Conclusion @#PM2.5 pollution might increase the outpatient volume for asthma in summer and winter. NO2 might have synergistic effect with PM2.5 on asthma.
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Objective@#To explore the relationship between different temperature indicators and hospital admission for childhood pneumonia.@*Methods@#The hospital admissions for pneumonia in children aged 0-14 years and meteorological data in Ningbo from 2015 to 2017 were collected. A distributed lag non-linear model combined with a generalized linear model was employed to analyze the exposure-response relationships between different temperature indicators（daily average,minimum and maximum temperature;the first percentile as low temperature and the 99th percentile as high temperature）and hospital admission for childhood pneumonia.@*Results@#A total of 4 542 cases of childhood pneumonia were recruited. There were obvious seasonal fluctuations found in the inpatient volume of childhood pneumonia,which peaked in winter and bottomed in summer. After adjusting for potential confounding variables such as relative humidity,PM2.5,long term trend and seasonal trend,the results suggested that after exposed to whether low or high temperature,the inpatient volume of childhood pneumonia would increase. When the daily average temperature and daily minimum temperature were employed,the effect of high temperature on the increase of inpatient volume for childhood pneumonia was statistically significant and the cumulative relative risk for a lag of 0-7 days were 1.52（95%CI：1.04-2.23）and 1.59（95%CI：1.08-2.34）,respectively. When the daily maximum temperature was employed,the effect of low temperature on the increase of inpatient volume for childhood pneumonia was statistically significant and the cumulative relative risk for a lag of 0-7 days were 1.30（95%CI：1.02-1.66）.@*Conclusion@#Our findings suggested that an increased risk of hospital admission for childhood pneumonia was associated with both low and high temperature.
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Objective To study the influence of daily air temperature on daily chronic obstructive pulmonary disease (COPD) mortality in residents in Ningbo. Methods A time-series analysis using distributional lag non-linear model (DLNM) was conducted to estimate the attributable numbers and fraction of average air temperature on the daily COPD mortality in Ningbo from 2011 to 2016, by controlling the long-term time trend, day of week, air pollutants and other weather variables. Results A reverse J-shape relationship was found between the average air temperature and COPD mortality, and the minimum-mortality temperature (MMT) was 25.5℃. The relative risks of extreme low and extreme high air temperature over lag 0-14 d were 2.767 (95%CI: 1.950-3.928) and 1.197 (95%CI:1.021-1.404). In total, 31.62%(95%CI:23.05%-38.89%) of COPD mortality (4963 cases, 95%CI: 3469-6027) was attributable to non-MMT exposure, More attributable deaths were due to low air temperature, with a fraction of 30.41%corresponding to 4772 deaths, compared with 1.22%and 192 deaths due to high air temperature. Low air temperature and high temperature were more likely to influence the mortality in females and those aged ≥65 years, but the influence was not significant in people aged <65 years. Conclusion Both high and low air temperature were associated with an increased risk of COPD mortality in residents in Ningbo, especially during cold season, related measures on disease prevention should be taken to protect vulnerable population to reduce the risk of COPD mortality.
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Objective To study the influence of daily air temperature on daily chronic obstructive pulmonary disease (COPD) mortality in residents in Ningbo. Methods A time-series analysis using distributional lag non-linear model (DLNM) was conducted to estimate the attributable numbers and fraction of average air temperature on the daily COPD mortality in Ningbo from 2011 to 2016, by controlling the long-term time trend, day of week, air pollutants and other weather variables. Results A reverse J-shape relationship was found between the average air temperature and COPD mortality, and the minimum-mortality temperature (MMT) was 25.5℃. The relative risks of extreme low and extreme high air temperature over lag 0-14 d were 2.767 (95%CI: 1.950-3.928) and 1.197 (95%CI:1.021-1.404). In total, 31.62%(95%CI:23.05%-38.89%) of COPD mortality (4963 cases, 95%CI: 3469-6027) was attributable to non-MMT exposure, More attributable deaths were due to low air temperature, with a fraction of 30.41%corresponding to 4772 deaths, compared with 1.22%and 192 deaths due to high air temperature. Low air temperature and high temperature were more likely to influence the mortality in females and those aged ≥65 years, but the influence was not significant in people aged <65 years. Conclusion Both high and low air temperature were associated with an increased risk of COPD mortality in residents in Ningbo, especially during cold season, related measures on disease prevention should be taken to protect vulnerable population to reduce the risk of COPD mortality.
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Objective To explore the short-term effect of particulate matters with an aerodynamic diameter of less than or equal to 10 μg (PM10) and aerodynamic diameter of less than or equal to 2.5 μg (PM2.5) on cardio-cerebrovascular mortality in Ningbo city.Methods Daily cardiocerebrovascular mortality data from 2011 to 2014 in Ningbo city were collected and the time series study using a semi-parametric generalized additive model were used to evaluate the relationship between the mortality of cardio-cerebrovascular disease and particulate matters after adjustment for the long-term trend of death,weather conditions,"days of the week" and other confounding factors.Results In single-pollutant model,the short-term effects of particulate matter on cardio-cerebrovascular mortality was strongest in lagged 2 days in Ningbo city,and an increase of 10 μg/m3 in moving average concentrations (lagged 2-3 days and lagged 2-4 days) of PM2.5 and PM10 could increase the cardio-cerebrovascular mortality by 0.55％ (0.23％-0.87％) and 0.53％ (0.28％-0.78％),respectively.In multi-pollutant models,PM10 did remain robust after being adjusted for PM2.5 with 0.58％ (0.09％-1.07％) increase in cardio-cerebrovascular mortality.The effect of PM2.5 had no statistical significantce after being adjusted for other co-pollutants.Conclusion These findings suggested that the concentrations of ambient particulate matters were associated with an increased risk of daily cardio-cerebrovascular mortality in Ningbo city.
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Objective To explore the short-term effect of particulate matters with an aerodynamic diameter of less than or equal to 10 μg (PM10) and aerodynamic diameter of less than or equal to 2.5 μg (PM2.5) on cardio-cerebrovascular mortality in Ningbo city.Methods Daily cardiocerebrovascular mortality data from 2011 to 2014 in Ningbo city were collected and the time series study using a semi-parametric generalized additive model were used to evaluate the relationship between the mortality of cardio-cerebrovascular disease and particulate matters after adjustment for the long-term trend of death,weather conditions,"days of the week" and other confounding factors.Results In single-pollutant model,the short-term effects of particulate matter on cardio-cerebrovascular mortality was strongest in lagged 2 days in Ningbo city,and an increase of 10 μg/m3 in moving average concentrations (lagged 2-3 days and lagged 2-4 days) of PM2.5 and PM10 could increase the cardio-cerebrovascular mortality by 0.55％ (0.23％-0.87％) and 0.53％ (0.28％-0.78％),respectively.In multi-pollutant models,PM10 did remain robust after being adjusted for PM2.5 with 0.58％ (0.09％-1.07％) increase in cardio-cerebrovascular mortality.The effect of PM2.5 had no statistical significantce after being adjusted for other co-pollutants.Conclusion These findings suggested that the concentrations of ambient particulate matters were associated with an increased risk of daily cardio-cerebrovascular mortality in Ningbo city.
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<p><b>OBJECTIVE</b>To find out the differences in regional characteristics of heat vulnerability between people living in urban centers and urban-fringe areas of Jinan city so as to provide basis for the development of adaptation measures to heat.</p><p><b>METHODS</b>A cross-sectional survey on heat vulnerability was conducted in urban center and urban-fringe areas of Jinan city, using a self-designed questionnaire among 801 residents at the age of 16 years or older in August 2013. Data of 23 indicators related to heat vulnerability were collected and aggregated to 7 dimensions:health and medical insurance, social networks, heat perception and adaptive behavior, economic status, resources, living environment and working environment. An index score was calculated using a balanced weighted average approach for each dimension, ranging from 0 to 1, with the closer to 1 as greater vulnerability.</p><p><b>RESULTS</b>The scores on heat perception and adaptive behavior, economic status, resources and working environment dimensions for urban-fringe areas were 0.42,0.63,0.55 and 0.62, statistically significantly higher than the urban center area of 0.41,0.51,0.26 and 0.41. Scores of living environment, social networks and health/medical insurance dimensions for urban center area were 0.57,0.49 and 0.31, which were all higher than the urban-fringe areas of 0.50,0.46 and 0.25, with differences statistically significant.</p><p><b>CONCLUSION</b>Residents living in the urban center might be more vulnerable to heat in terms of living environment, health/medical insurance and social networks while residents living in the urban-fringe areas might more be vulnerable in terms of heat perception and adaptive behavior, economic status, life resources and working environment. These facts indicated that heat vulnerability among residents could be quite different, even at a fine geographic sale. We would thus suggest that intervention strategies on protecting people from heat, should be more targeted.</p>
Subject(s)
Adolescent , Adult , Aged , Female , Humans , Male , Middle Aged , Young Adult , China , Cross-Sectional Studies , Health Status , Hot Temperature , Surveys and Questionnaires , Urban PopulationABSTRACT
Objective To find out the differences in regional characteristics of heat vulnerability between people living in urban centers and urban-fringe areas of Jinan city so as to provide basis for the development of adaptation measures to heat. Methods A cross-sectional survey on heat vulnerability was conducted in urban center and urban-fringe areas of Jinan city,using a self-designed questionnaire among 801 residents at the age of 16 years or older in August 2013. Data of 23 indicators related to heat vulnerability were collected and aggregated to 7 dimensions:health and medical insurance,social networks,heat perception and adaptive behavior,economic status,resources, living environment and working environment. An index score was calculated using a balanced weighted average approach for each dimension,ranging from 0 to 1,with the closer to 1 as greater vulnerability. Results The scores on heat perception and adaptive behavior,economic status, resources and working environment dimensions for urban-fringe areas were 0.42,0.63,0.55 and 0.62, statistically significantly higher than the urban center area of 0.41,0.51,0.26 and 0.41. Scores of living environment,social networks and health/medical insurance dimensions for urban center area were 0.57,0.49 and 0.31,which were all higher than the urban-fringe areas of 0.50,0.46 and 0.25, with differences statistically significant. Conclusion Residents living in the urban center might be more vulnerable to heat in terms of living environment,health/medical insurance and social networks while residents living in the urban-fringe areas might more be vulnerable in terms of heat perception and adaptive behavior,economic status,life resources and working environment. These facts indicated that heat vulnerability among residents could be quite different,even at a fine geographic sale. We would thus suggest that intervention strategies on protecting people from heat,should be more targeted.
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Objective To find out the differences in regional characteristics of heat vulnerability between people living in urban centers and urban-fringe areas of Jinan city so as to provide basis for the development of adaptation measures to heat. Methods A cross-sectional survey on heat vulnerability was conducted in urban center and urban-fringe areas of Jinan city,using a self-designed questionnaire among 801 residents at the age of 16 years or older in August 2013. Data of 23 indicators related to heat vulnerability were collected and aggregated to 7 dimensions:health and medical insurance,social networks,heat perception and adaptive behavior,economic status,resources, living environment and working environment. An index score was calculated using a balanced weighted average approach for each dimension,ranging from 0 to 1,with the closer to 1 as greater vulnerability. Results The scores on heat perception and adaptive behavior,economic status, resources and working environment dimensions for urban-fringe areas were 0.42,0.63,0.55 and 0.62, statistically significantly higher than the urban center area of 0.41,0.51,0.26 and 0.41. Scores of living environment,social networks and health/medical insurance dimensions for urban center area were 0.57,0.49 and 0.31,which were all higher than the urban-fringe areas of 0.50,0.46 and 0.25, with differences statistically significant. Conclusion Residents living in the urban center might be more vulnerable to heat in terms of living environment,health/medical insurance and social networks while residents living in the urban-fringe areas might more be vulnerable in terms of heat perception and adaptive behavior,economic status,life resources and working environment. These facts indicated that heat vulnerability among residents could be quite different,even at a fine geographic sale. We would thus suggest that intervention strategies on protecting people from heat,should be more targeted.
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<p><b>OBJECTIVE</b>Construct the gene library of apoptosis related genes in acute promyelocytic leukemia (APL) cell line NB4 cells treated by arsenic trioxide to clarify the apoptotic mechanism of NB4 cells.</p><p><b>METHOD</b>APL cell line NB4 cells treated with or without arsenic trioxide for 24 hours. Total RNA was extracted and suppress subtractive hybridization (SSH) was conducted according to the manual. With the cDNA of the apoptosis cells as the tester and that of control cells as the driver, forward and reverse hybridization was performed. Differentially expressed genes were linked with pGEM-Teasy cloning vector and transformed into E. coli DH5alpha. The positive clones were screened by blue and white spot. PCR were used to amplify these genes.</p><p><b>RESULT</b>The subtractive cDNA libraries related with apoptosis of NB4 cells were successfully constructed.</p><p><b>CONCLUSION</b>The constructed subtractive libraries are suitable for further study on the functional genes associated with apoptosis ofNB4 cells induced by arsenic trioxide.</p>