Effect of ambient temperature on stroke onset: a time-series analysis between 2003 and 2014 in Shenzhen, China

2021 ◽  
pp. oemed-2020-106985
Author(s):  
Lei Li ◽  
Suli Huang ◽  
Yanran Duan ◽  
Peiyi Liu ◽  
Lin Lei ◽  
...  
Keyword(s):  
Ambient Temperature ◽  
Temperature Effects ◽  
Public Awareness ◽  
Additive Model ◽  
The Elderly ◽  
Cold Effect ◽  
Generalised Additive Model ◽  
Stroke Subtypes ◽  
Distributed Lag ◽  
Heat Effects

ObjectiveEvidence on the relationship between ambient temperature and morbidity of different stroke subtypes in China is limited. This study aimed to assess the influence of ambient temperature on stroke risk in Shenzhen, China.MethodsFrom 1 January 2003 to 31 December 2014, 114 552 stroke cases in Shenzhen were collected. A generalised additive model with quasi-Poisson regression combined with a distributed lag non-linear model was applied to evaluate the temperature effects on stroke subtypes. Furthermore, this study explored the variability of the effects across sex, age and education.ResultsThe immediate heat effects on ischaemic stroke (IS) and the persistent effects of ambient temperature on intracerebral haemorrhage (ICH) were significant. Overall, the cold-related relative risks (RRs) of IS, ICH and subarachnoid haemorrhage (SAH) were 1.02 (0.97–1.07), 1.16 (1.04–1.30) and 1.12 (0.61–2.04), whereas the heat-related RRs were 1.00 (0.97–1.04), 0.80 (0.73–0.88) and 1.05 (0.63–1.78), respectively. For IS, a weakly beneficial cold effect was found among men while a detrimental heat effect among both men and women, the elderly and higher-educated population at lag0. However, regarding ICH, the temperature effects in men, the young and higher-educated population are stronger at lag0–4, lag0–7 as cold reveals threat and heat reveals protection.ConclusionResponses of diverse stroke subtypes to ambient temperature varied. Effective measures should be taken to increase public awareness about the effects of ambient temperature on stroke attack and to educate the public about self-protection.

scholarly journals Acute effects of air pollution on ischaemic stroke onset and deaths: a time-series study in Changzhou, China

BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e020425 ◽  
Author(s):  
Huibin Dong ◽  
Yongquan Yu ◽  
Shen Yao ◽  
Yan Lu ◽  
Zhiyong Chen ◽  
...  
Keyword(s):  
Time Series ◽  
Ischaemic Stroke ◽  
Statistical Significance ◽  
Additive Model ◽  
The Elderly ◽  
Acute Effect ◽  
Cold Season ◽  
Air Pollutant ◽  
Generalised Additive Model ◽  
Short Term Exposure

ObjectiveTo investigate the acute effect of air pollutants on ischaemic stroke (IS) and IS-related death.SettingFive urban districts in Changzhou, China, between 9 January 2015 and 31 December 2016.ParticipantsA total of 32 840 IS cases and 4028 IS deaths were enrolled.Main outcome measuresA time-series design, generalised additive model and multivariable regression model were used to examine the percentage change (95% CI) in daily IS counts and deaths with an IQR increase in air pollutant levels for different single or multiple lag days in single-pollutant and two-pollutant models.ResultsDaily IS counts increased 0.208% (95% CI 0.036% to 0.381%) with an IQR increment in the levels of nitrogen dioxide (NO2). The estimated risk of NO2was more robust in males and in the cold season. For daily IS counts, the estimated effects of NO2and sulfur dioxide (SO2) were more significant when adjusted for particulate matter with aerodynamic diameters <2.5 µm (PM2.5) and PM10. An IQR increment in the concentration of PM10, SO2and NO2significantly increased IS deaths with 6 days of cumulative effects (0.268%, 95% CI 0.007% to 1.528%; 0.34%, 0.088% to 0.592%; and 0.263%, 0.004% to 0.522%, respectively). Young individuals (<65 years old) had a higher IS mortality risk for PM2.5, PM10, NO2and CO. For IS death, the effect estimates of SO2in the elderly, females and the cold season were more pronounced; statistical significance was also identified for SO2when adjusted for carbon monoxide (CO).ConclusionsThis study suggested that short-term exposure to ambient NO2was associated with increased IS risk. In addition, SO2was associated with increased IS onset and death.

scholarly journals The Impact of Cold and Heat on Years of Life Lost in a Northwestern Chinese City with Temperate Continental Climate

2019 ◽  
Vol 16 (19) ◽  
pp. 3529 ◽  
Author(s):  
Jiangtao Liu ◽  
Yueling Ma ◽  
Yuhong Wang ◽  
Sheng Li ◽  
Shuyu Liu ◽  
...  
Keyword(s):  
Respiratory Diseases ◽  
Heat Waves ◽  
Age Groups ◽  
The Elderly ◽  
Years Of Life Lost ◽  
Weather Variables ◽  
Distributed Lag ◽  
Heat Effects ◽  
The Impact ◽  
Continental Climate

Cold spells and heat waves in a changing climate are well known as great public-health concerns due to their adverse effects on human health. However, very few studies have quantified health impacts of heat and cold in the region of Northwestern China. The purpose of the present study was to evaluate the effects of cold and heat on years of life lost (YLL) in Lanzhou, a city with temperate continental climate. We compiled a daily dataset including deaths, weather variables, and air pollutants in Lanzhou, China, from 2014–2017. We used a distributed lag non-linear model to estimate single-day and cumulative effects of heat and cold on daily YLL. Results indicated that both cold and heat were associated with increased YLL for registered residents in Lanzhou. Estimated heat effects appeared immediately in the first two days, while estimated cold effects lasted over a longer period (up to 30 days). Cold significantly increased the YLL of all residents except for males and those with respiratory diseases (≥65 years). Our results showed that both heat and cold had more pronounced effects on cardiovascular diseases compared to respiratory diseases. Males might be more vulnerable to heat, while females might suffer more YLL from cold. The effects of cold or heat on the elderly might appear earlier and last longer than those for other age groups.

scholarly journals The Impact of Non-optimum Ambient Temperature on Years of Life Lost: A Multi-county Observational Study in Hunan, China

2020 ◽  
Vol 17 (8) ◽  
pp. 2699
Author(s):  
Ling-Shuang Lv ◽  
Dong-Hui Jin ◽  
Wen-Jun Ma ◽  
Tao Liu ◽  
Yi-Qing Xu ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Ambient Temperature ◽  
Respiratory Disease ◽  
Age Groups ◽  
The Elderly ◽  
Cold Temperature ◽  
Years Of Life Lost ◽  
Distributed Lag ◽  
Preventative Measures ◽  
The Impact

The ambient temperature–health relationship is of growing interest as the climate changes. Previous studies have examined the association between ambient temperature and mortality or morbidity, however, there is little literature available on the ambient temperature effects on year of life lost (YLL). Thus, we aimed to quantify the YLL attributable to non-optimum ambient temperature. We obtained data from 1 January 2013 to 31 December 2017 of 70 counties in Hunan, China. In order to combine the effects of each county, we used YLL rate as a health outcome indicator. The YLL rate was equal to the total YLL divided by the population of each county, and multiplied by 100,000. We estimated the associations between ambient temperature and YLL with a distributed lag non-linear model (DNLM) in a single county, and then pooled them in a multivariate meta-regression. The daily mean YLL rates were 22.62 y/(p·100,000), 10.14 y/(p·100,000) and 2.33 y/(p·100,000) within the study period for non-accidental, cardiovascular, and respiratory disease death. Ambient temperature was responsible for advancing a substantial fraction of YLL, with attributable fractions of 10.73% (4.36–17.09%) and 16.44% (9.09–23.79%) for non-accidental and cardiovascular disease death, respectively. However, the ambient temperature effect was not significantly for respiratory disease death, corresponding to 5.47% (−2.65–13.60%). Most of the YLL burden was caused by a cold temperature than the optimum temperature, with an overall estimate of 10.27% (4.52–16.03%) and 15.94% (8.82–23.05%) for non-accidental and cardiovascular disease death, respectively. Cold and heat temperature-related YLLs were higher in the elderly and females than the young and males. Extreme cold temperature had an effect on all age groups in different kinds of disease-caused death. This study highlights that general preventative measures could be important for moderate temperatures, whereas quick and effective measures should be provided for extreme temperatures.

scholarly journals Short-Term Impact of Ambient Temperature on the Incidence of Influenza in Wuhan, China

2021 ◽  
Author(s):  
Yanbing Li ◽  
Jingtao Wu ◽  
Jiayuan Hao ◽  
Qiujun Dou ◽  
Hao Xiang ◽  
...  
Keyword(s):  
Ambient Temperature ◽  
Additive Model ◽  
Warning System ◽  
Acute Effect ◽  
Short Term ◽  
Cold Temperatures ◽  
Hot Temperature ◽  
Distributed Lag ◽  
Extreme Cold ◽  
Air Quality Monitoring Stations

Abstract Few studies have estimated the nonlinear association of ambient temperature with the risk of influenza. We therefore applied a time-series analysis to explore the short-term effect of ambient temperature on the incidence of influenza in Wuhan, China. Daily influenza cases were collected from Hubei Provincial Center for Disease Control and Prevention (Hubei CDC) from January 1st, 2014 to December 31st, 2017. The meteorological and daily pollutant data was obtained from the Hubei Meteorological Service Center and National Air Quality Monitoring Stations, respectively. We used a generalized additive model (GAM) coupled with the distributed lag nonlinear model (DLNM) to explore the exposure-lag-response relationship between the short-term risk of influenza and daily average ambient temperature. Analyses were also performed to assess the extreme cold and hot temperature effects. We observed that the ambient temperature was statistically significant, and the exposure-response curve is approximately S-shaped, with a peak observed at 23.57℃. The single-day lag curve showed that extreme hot and cold temperatures were both significantly associated with influenza. The extreme hot temperature has an acute effect on influenza, with the most significant effect observed at lag 0-1. The extreme cold temperature has a relatively smaller effect but lasts longer, with the effect exerted continuously during a lag of 2-4 days. Our study found significant nonlinear and delayed associations between ambient temperature and the incidence of influenza. Our finding contributes to the establishment of an early warning system for airborne infectious diseases.

scholarly journals Morbidity burden of respiratory diseases attributable to ambient temperature: a case study in a subtropical city in China

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Yiju Zhao ◽  
Zhao Huang ◽  
Shengyong Wang ◽  
Jianxiong Hu ◽  
Jianpeng Xiao ◽  
...  
Keyword(s):  
Ambient Temperature ◽  
Respiratory Diseases ◽  
The Elderly ◽  
Extreme Heat ◽  
Respiratory Morbidity ◽  
Chronic Obstructive ◽  
Subtropical Region ◽  
Morbidity Burden ◽  
Distributed Lag ◽  
Increased Risk

Abstract Background There are significant associations between ambient temperature and respiratory disease mortality. However, few studies have assessed the morbidity burdens of various respiratory diseases that are attributable to different temperature ranges in subtropical regions. Methods Daily outpatient visits, weather variables, and air pollution data were collected from January 2013 to August 2017 in a hospital in Dongguan city. A standard time series quasi-Poisson regression with a distributed lag non-linear model (DLNM) was applied to estimate the associations between daily mean temperature and morbidity for total respiratory diseases, bronchiectasis, chronic obstructive pulmonary disease (COPD), and asthma. Attributable fractions were then calculated to quantify disease burden relative to different temperature components. Finally, we conducted stratified analysis by age group. Results Both low and high temperatures were associated with an increased risk of morbidity secondary to respiratory diseases. Compared with the optimum temperature, the accumulated relative risk (RR) during the seven lag days was 1.13 with a 95% confidence interval (CI) of 1.01–1.26 for extreme heat and 1.02 (95% CI: 0.99–1.05) for extreme cold. Heat-related respiratory morbidity risk was higher than cold-related risk for the total population, but an opposite result was observed for the elderly. About 8.4% (95% CI: 2.8–13.3%) of respiratory morbidity was attributable to non-optimal temperatures, and moderate heat was responsible for most of the excess respiratory morbidity (7.5, 95% CI: 2.4–12.2%). Conclusions We found that exposure to non-optimal temperatures increased the risk of respiratory morbidity in subtropical region, and moderate heat contributed to most of the temperature-related respiratory morbidities. This indicates a need for further examination of moderate, rather than extreme, heat in subtropical region.

scholarly journals The Association Between Temperature and Cause-Specific Mortality in the Klang Valley, Malaysia

2021 ◽  
Author(s):  
Ahmad Norazhar Mohd Yatim ◽  
Mohd Talib Latif ◽  
Nurzawani Md Sof ◽  
Fatimah Ahamad ◽  
Md Firoz Khan ◽  
...  
Keyword(s):  
Linear Model ◽  
Surface Ozone ◽  
The Elderly ◽  
Air Pollutant ◽  
Vulnerable Groups ◽  
Distributed Lag ◽  
Relative Risks ◽  
Heat Effects ◽  
Before And After ◽  
Klang Valley

Abstract This study aims to examine the relationship between daily temperature and mortality in the Klang Valley, Malaysia over the period 2006 – 2015. A quasi-Poisson generalized linear model combined with a distributed lag non-linear model (DLNM) was used to estimate the association between mean temperature and mortality categories (natural, cardiovascular, and respiratory disease). Particulate matter with aerodynamic diameter below than 10 micrometer (PM10) and surface ozone (O3) has been adjusted as a potential confounding factor. Both cold and heat effects were associated with mortality categories. The relative risks of natural mortality associated with an extreme cold temperature (1st percentile of temperature, 25.2 °C) and an extreme hot temperature (99th percentile of temperature, 30.2 °C) relative to the minimum mortality temperature (28.2 °C) were 1.17 (95% confidence interval (CI): 0.97, 1.41) and 1.11 (95% CI: 0.93, 1.32) for lag 0-21, respectively. Heat effects were immediate whereas cold effects were delayed and lasted longer. People with respiratory diseases, the elderly and women were the most vulnerable groups when it came to the effects of extremely high temperatures. The extreme temperatures did not dramatically change the temperature-mortality risk estimates made before and after adjustments for air pollutant (PM10 and O3) levels.

scholarly journals Effect of ambient temperature on incidence of tuberculosis and effect modification by meteorological factors in Jinan, China during 2012-2015

2020 ◽  
Author(s):  
Runze Ye ◽  
Liangliang Cui ◽  
Jingwen Zhou ◽  
Meihua Wang ◽  
Chongqi Jia ◽  
...  
Keyword(s):  
Ambient Temperature ◽  
Meteorological Factors ◽  
Sunshine Duration ◽  
Effect Modification ◽  
Effect Of Temperature ◽  
Delayed Effect ◽  
Cold Effect ◽  
Distributed Lag ◽  
Daily Data ◽  
Increased Risk

Abstract ObjectiveFor assessing the nonlinearity and delayed effect of temperature on incidence of Tuberculosis (TB) and effect modification by meteorology factors, daily data on meteorological factors, air pollutants and incidence were obtained in Jinan, China, from 2012 to 2015.MethodsA distributed lag non-linear model (DLNM) combined with quasi-Poisson regression model was employed to assess the nonlinearity and the delayed effect of associations. We further built a series of weather-stratified models categorizing the meteorology factors into two levels to assess the effect modification of the ambient temperature effect. ResultsThe correlation between tuberculosis (TB) cases and daily average temperature (Tmean) was nonlinear with a delayed effect. At the current day (lag 0), the increase of Tmean decreased the risk of TB incidence; over lag 0-70 days, the decrease of low Tmean and the increase of the high Tmean both indicated the increased risk of TB. The cold temperature showed an immediate effect at the current day, with a harvesting effect in the following days. There was no significant harvesting effect in hot effect. Meanwhile, the effect of hot temperature on TB appeared with an about two-week lag and was lower than cold effect. The effect modifications by relative humidity, wind speed and sunshine duration were observed.ConclusionResults indicate that there was a nonlinear correlation with a harvesting effect between temperature and TB in Jinan, and both cold effect and heat effect exist the delayed effect. Results also pointed to the importance of considering effect modification by meteorological factors in assessing temperature effects on incidence of TB. Which might shed light on the strategy of TB prevention and control.

scholarly journals Changes in ambient temperature increase hospital outpatient visits for allergic rhinitis in Xinxiang, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jianhui Gao ◽  
Mengxue Lu ◽  
Yinzhen Sun ◽  
Jingyao Wang ◽  
Zhen An ◽  
...  
Keyword(s):  
Allergic Rhinitis ◽  
Ambient Temperature ◽  
Positive Association ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Hospital Outpatient ◽  
Distributed Lag ◽  
Outpatient Visits ◽  
Daily Data ◽  
The Relationship

Abstract Background The effect of ambient temperature on allergic rhinitis (AR) remains unclear. Accordingly, this study aimed to explore the relationship between ambient temperature and the risk of AR outpatients in Xinxiang, China. Method Daily data of outpatients for AR, meteorological conditions, and ambient air pollution in Xinxiang, China were collected from 2015 to 2018. The lag-exposure-response relationship between daily mean temperature and the number of hospital outpatient visits for AR was analyzed by distributed lag non-linear model (DLNM). Humidity, long-time trends, day of the week, public holidays, and air pollutants including sulfur dioxide (SO2), and nitrogen dioxide (NO2) were controlled as covariates simultaneously. Results A total of 14,965 AR outpatient records were collected. The relationship between ambient temperature and AR outpatients was generally M-shaped. There was a higher risk of AR outpatient when the temperature was 1.6–9.3 °C, at a lag of 0–7 days. Additionally, the positive association became significant when the temperature rose to 23.5–28.5 °C, at lag 0–3 days. The effects were strongest at the 25th (7 °C) percentile, at lag of 0–7 days (RR: 1.32, 95% confidence intervals (CI): 1.05–1.67), and at the 75th (25 °C) percentile at a lag of 0–3 days (RR: 1.15, 95% CI: 1.02–1.29), respectively. Furthermore, men were more sensitive to temperature changes than women, and the younger groups appeared to be more influenced. Conclusions Both mild cold and mild hot temperatures may significantly increase the risk of AR outpatients in Xinxiang, China. These findings could have important public health implications for the occurrence and prevention of AR.

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