Temporal and seasonal variations of mortality burden associated with hourly temperature variability: A nationwide investigation in England and Wales

Zhang, Yunquan; Yan, Yu; Peng, Minjin; Meng, Runtang; Hu, Kejia; Yu, Chuanhua

doi:10.1016/j.envint.2018.03.036

Cited by 33 publications

(9 citation statements)

References 55 publications

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“…On the other hand, our study suggests potential good news for adaptation to temperature fluctuations, in that the association between temperature variability and hospitalisation might diminish as the economy grows. A longterm decrease in the asso ciation between temperature variability and hospitali sation has been reported in Japan 3 during 1972-2015 and in England and Wales 33 during 1993-2006. Unfortunately, this idea must be treated with caution, because we still do not know what factors contributed to the socioeco nomic disparities in associations between temperature variability and hospitalisation, due to insufficient relevant data, such as on access to airconditioners and heating, living and sanitation conditions, access to highquality healthcare services and medications, and knowledge about the health effects of temperature.…”

Section: Discussionmentioning

confidence: 96%

Socioeconomic inequality in vulnerability to all-cause and cause-specific hospitalisation associated with temperature variability: a time-series study in 1814 Brazilian cities

Zhao

Coelho

et al. 2020

The Lancet Planetary Health

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Background Exposure to temperature variability has been associated with increased risk of mortality and morbidity. We aimed to evaluate whether the association between short-term temperature variability and hospitalisation was affected by local socioeconomic level in Brazil. MethodsIn this time-series study, we collected city-level socioeconomic data, and daily hospitalisation and weather data from 1814 Brazilian cities between Jan 1, 2000, and Dec 31, 2015. All-cause and cause-specific hospitalisation data was from the Hospital Information System of the Unified Health System in Brazil. City-specific daily minimum and maximum temperatures came from a 0•25° × 0•25° Brazilian meteorological dataset. We represented city-specific socioeconomic level using literacy rate, urbanisation rate, average monthly household income per capita (using the 2000 and 2010 Brazilian census), and GDP per capita (using statistics from the Brazilian Institute of Geography and Statistics for 2000-15), and cities were categorised according to the 2015 World Bank standard. We used quasi-Poisson regression to do time-series analyses and obtain city-specific associations between temperature variability and hospitalisation. We pooled city-specific estimates according to different socioeconomic quartiles or levels using random-effect meta-analyses. Meta-regressions adjusting for demographic and climatic characteristics were used to evaluate the modification effect of city-level socioeconomic indicators on the association between temperature variability and hospitalisation. Findings We included a total of 147 959 243 hospitalisations (59•0% female) during the study period. Overall, we estimated that the hospitalisation risk due to every 1°C increase in the temperature variability in the current and previous day (TV 0-1 ) increased by 0•52% (95% CI 0•50−0•55). For lower-middle-income cities, this risk was 0•63% (95% CI 0•58-0•69), for upper-middle-income cities it was 0•50% (0•47-0•53), and for high-income cities it was 0•39% (0•33-0•46). The socioeconomic inequality in vulnerability to TV 0-1 was especially evident for people aged 0-19 years (effect estimate 1•21% [1•11-1•31] for lower-middle income vs 0•52% [0•41-0•63] for high income) and people aged 60 years or older (0•60% [0•50-0•70] vs 0•43% [0•31-0•56]), and for hospitalisation due to infectious diseases (1•62% [1•46-1•78] vs 0•56% [0•30-0•82]), respiratory diseases (1•32% [1•20-1•44] vs 0•55% [0•37-0•74]), and endocrine diseases (1•21% [0•99-1•43] vs 0•32% [0•02-0•62]).Interpretation People living in less developed cities in Brazil were more vulnerable to hospitalisation related to temperature variability. This disparity could exacerbate existing health and socioeconomic inequalities in Brazil, and it suggests that more attention should be paid to less developed areas to mitigate the adverse health effects of shortterm temperature fluctuations.

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Section: Discussionmentioning

confidence: 96%

Socioeconomic inequality in vulnerability to all-cause and cause-specific hospitalisation associated with temperature variability: a time-series study in 1814 Brazilian cities

Zhao

Coelho

et al. 2020

The Lancet Planetary Health

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Section: Discussionmentioning

confidence: 99%

“…Therefore, to target vulnerable population accurately, further evidence is needed to comprehensively investigate the individual characteristics as potential modifiers. Previous studies found more significant TV-mortality association during moderate seasons 19 or summer, 28 but whether TV-COPD hospitalization association varied by seasons remains unclear. A multicity study pointed out that mortality risks related to TV were higher in hot areas, 19 and another found that cities with dense population, higher temperatures and relative humidity had greater mortality risks caused by TV.…”

Section: Introductionmentioning

confidence: 90%

“…There is no relevant evidence on seasonal patterns of TV effect on COPD morbidity, while a previous study found TV-mortality association was stronger in warm seasons in England and Wales. 28 However, a multi-country study revealed the differences in the seasonal patterns of TV-mortality association among countries. 19 Per 1°C increment in hourly TV and daily TV in our study showed similar estimated relative risk of COPD hospitalization, increasing with exposure days and being stable around zero to six days, similar with a study on mortality risk.…”

Section: Figurementioning

confidence: 99%

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<p>Temperature Variability and Hospital Admissions for Chronic Obstructive Pulmonary Disease: Analysis of Attributable Disease Burden and Vulnerable Subpopulation</p>

Zhan¹,

Tian²,

Chen³

et al. 2020

COPD

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Chronic obstructive pulmonary disease (COPD) is a major cause of chronic diseases causing considerable social and economic burden globally. Despite substantial evidence on temperature-COPD association, few studies have investigated the acute effect of temperature variability (TV), a potential trigger of exacerbation of COPD disease, and it remains unknown what fraction of the disease burden of COPD is attributable to TV. Patients and Methods: Based on 71,070 COPD hospitalizations during 2013-2015 in Guangzhou, China, we conducted a time-series analysis using quasi-Poisson regression to assess the association between TV and hospital admission for COPD after adjusting for daily mean temperature. Short-term TV was captured by the standard deviation of hourly or daily temperatures across various exposure days. We also provided the fraction (total number) of COPD attributable to TV. Stratified analyses by admission route, sex, age, occupation, marital status and season were performed to identify vulnerable subpopulations. Results: We found a linear relationship between TV and COPD hospitalization, with a 1° C increase in hourly TV and daily TV associated with 4.3% (95%CI: 2.2-6.4) and 4.0% (2.3-5.8) increases in COPD, respectively. The greater relative risks of TV identified males, people aged 0-64 years, blue collar, and divorced/widowed people as vulnerable population. There were 12.0% (8500 cases) of COPD hospitalization attributable to hourly TV during the study period. Daily TV produced similar estimates of relative effects (relative risk) but grater estimates of absolute effects (attributable fraction) than hourly TV. Conclusion: We concluded that TV was an independent risk factor of COPD morbidity, especially among the susceptible subgroups. These findings would be helpful to guide the development of targeted public intervention.

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“…They interact with each other in various ways. Human health is found to be very sensitive to climate change (Zhang et al, 2018). Meteorological factors that directly or indirectly affect human health include temperature, humidity, atmospheric pressure, sunshine and rainfall (Shukla and Srivastava, 2017;Lee et al, 2016;.…”

Section: Introductionmentioning

confidence: 99%

Grey relation between main meteorological factors and mortality

Chen

Pei

2019

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Purpose The purpose of this paper is to explore the effects of main meteorological factors on the mortality of urban residents and provide empirical evidence for the prevention of effects of climate changes. Design/methodology/approach Grey relational analysis (GRA) was used to analyse the interrelationships between meteorological factors and mortality among residents in Chaoyang District, Beijing, during the period between 1998 and 2008. Findings The changes of annual average mortality had a strong grey relation with temperature and relative humidity. The monthly average mortality (MAM) showed a strong grey relation with air pressure and the MAM in Summer season had a strong grey relation with air pressure, relative humidity and wind speed. Originality/value Meteorological factors including temperature, relative humidity, air pressure and wind speed are all related with mortality changes. GRA can well reveal the trend of the curve approximation between meteorological factors and mortality and can quantify the different approximation.

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Temporal and seasonal variations of mortality burden associated with hourly temperature variability: A nationwide investigation in England and Wales

Cited by 33 publications

References 55 publications

Socioeconomic inequality in vulnerability to all-cause and cause-specific hospitalisation associated with temperature variability: a time-series study in 1814 Brazilian cities

Socioeconomic inequality in vulnerability to all-cause and cause-specific hospitalisation associated with temperature variability: a time-series study in 1814 Brazilian cities

<p>Temperature Variability and Hospital Admissions for Chronic Obstructive Pulmonary Disease: Analysis of Attributable Disease Burden and Vulnerable Subpopulation</p>

Grey relation between main meteorological factors and mortality

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