scholarly journals Hourly temperature variability and mortality in 31 major Chinese cities: Effect modification by individual characteristics, season and temperature zone

2021 ◽  
Vol 156 ◽  
pp. 106746
Author(s):  
Zhou Yang ◽  
Jun Yang ◽  
Maigeng Zhou ◽  
Peng Yin ◽  
Zhaoyue Chen ◽  
...  
2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Lina Madaniyazi ◽  
Yong Zhou ◽  
Shanshan Li ◽  
Gail Williams ◽  
Jouni J.K. Jaakkola ◽  
...  

2018 ◽  
Vol 239 ◽  
pp. 631-637 ◽  
Author(s):  
Jun Yang ◽  
Maigeng Zhou ◽  
Mengmeng Li ◽  
Xiaobo Liu ◽  
Peng Yin ◽  
...  

2021 ◽  
Author(s):  
Yong Yu ◽  
Siqi Luo ◽  
Yunquan Zhang ◽  
Linjiong Liu ◽  
Ke Wang ◽  
...  

Abstract BackgroundTemperature variability (TV) has been widely associated with increased mortality risk and burden. Extensive researches have used the standard deviations of several days’ daily maximum and minimum temperatures or hourly mean temperatures as daily and hourly TV measures (TVdaily and TVhourly). However, comparative analysis of daily and hourly TV related to cardiorespiratory mortality is still limited.MethodsWe collected daily mortality and meteorological data in 45 US metropolises, 1987–2000. A three-stage analyses were adopted to investigate TV-mortality associations using TVdaily and TVhourly as exposure metrics. We first applied a time-series quasi-Poisson regression to estimate location-specific TV-mortality relationship, which were then pooled using random-effects meta-analysis with maximum likelihood estimation (MLE). We additionally calculated attributable fractions as a reflection of total mortality burden associated with TV. Stratified analyses by age were also performed to identify the susceptible group to TV-related risk.ResultsThere were a total of 15.4 million all-cause deaths, of which 6.1 million were from cardiovascular and 1.2 million were from respiratory causes. Per 1 °C increase in TVdaily and TVhourly was associated with an increase of 0.53% (95% confidence interval: 0.31–0.76%) and 0.52% (0.26–0.79%) in cardiovascular mortality risks, 0.62% (0.26–0.98%) and 0.53% (0.13–0.94%) in respiratory mortality risks. Estimations of cardiovascular attributable fractions for TVdaily and TVhourly were 2.43% (1.42–3.43%) vs 1.63% (0.82–2.43%), whereas respiratory attributable fractions were 3.07% (1.11–4.99%) vs 1.89% (0.43–3.34%). Both daily and hourly indexes showed approximately linear relationships with different mortality categories and similar lag patterns, but greater fractions were estimated using TVdaily than those using TVhourly. People over 75 years old were relatively more vulnerable to TV-induced risks of mortality.ConclusionsBoth TVdaily and TVhourly significantly increased all-cause and cardiorespiratory mortality risks and burden. Daily TV metrics resembled hourly in risk effects, whilst greater mortality burden was found in TVdaily than TVhourly. Our findings may add significance to TV-mortality research and help to promote optimal health management strategies to better mitigate TV-related health effect.


1937 ◽  
Vol 15c (10) ◽  
pp. 461-491
Author(s):  
J. W. Hopkins

A five-year moving average of mean temperature for the period April 1 to August 31 has a range of variation of about 4° F. over the years 1893–1933 at Edmonton and Calgary (central and southern Alberta), and Battleford and Swift Current (central and southern Saskatchewan). The general trend over the 41 years is slightly upward at the last three stations; there are also shorter irregular cycles of above- and below-average values of both mean temperature and mean daily range at all four stations. Short-term fluctuations of the former are most pronounced in April and May; those of the latter are equally in evidence in all five months. The annual averages of daily mean temperature (April 1–August 31) tend at all four stations to fall more frequently above than below the general average for the 41 years. Annual variation in monthly mean temperature is greatest in April and least in July, but the mean daily range is as variable for the summer as for the spring months. There is a fairly close correlation between the annual variations in mean monthly temperature at the four stations, but no significant association between the mean temperature of successive months at the same station. Below-average monthly temperatures tend to be associated with above-average precipitation, particularly in July and August.During 1916–1933, the intra-monthly variation of both daily maximum and minimum is greatest in April and least in July and August. Within any of the five months, the daily maxima are more variable than the minima. There is a significant correlation between the daily maxima and minima within months (which however diminishes progressively from April to August), and between the mean maximum and mean minimum of April, May and August in different years. The frequency distributions of the 18 years' daily maxima and minima have individual characteristics for each of the five months, which show a generally similar seasonal trend at the four stations. Seasonal trend in the daily range is much less than that in the mean temperature.The hourly temperature at Swift Current, averaged over four years, attains its maximum at 3 p.m. in all five months studied. The hour of average minimum varies from 6 a.m. in April to 4 a.m. in June. In each month the hours with below-average are in excess of those with above-average temperatures, but this inequality is more pronounced in spring than in summer. The mean of the daily maximum and minimum may sometimes deviate considerably from the mean of the 24 hourly observations.


2013 ◽  
Vol 77 (7) ◽  
pp. 1854-1861 ◽  
Author(s):  
Akiko Atsumi ◽  
Kayo Ueda ◽  
Fujiko Irie ◽  
Toshimi Sairenchi ◽  
Kyoko Iimura ◽  
...  

Author(s):  
R. C. Mossman

The average variability of temperature at any place is obtained by taking the difference of temperature at the same hour on successive days, and taking the mean value of this difference irrespective of sign. With a view to ascertaining whether this variability varied with the hour selected for comparison, the hourly temperature records at four places have been examined, and the day to day change of temperature at each hour noted. The places are—the Ben Nevis Observatory, the Fort-William Observatory, the Hong Kong Observatory, and the Arctic Station at Lady Franklin Bay, lat. 81° 44′ N., long. 64° 45′ W. At each place one year's record was taken, which, though too short a time to give a true mean, yet gives a fair approximation towards it. The mean values for each hour of the twelve months at the four stations are given in the accompanying tables, the highest value in each month being put in heavy type and the lowest in italic.


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