The burden of stroke mortality attributable to cold and hot ambient temperatures: Epidemiological evidence from China

Yang, Jun; Yin, Peng; Zhou, Maigeng; Chen, Ou; Li, Mengmeng; Li, Jing; Liu, Xiaobo; Gao, Jinghong; Liu, Yunning; Qin, Rennie X.; Xu, Lei; Huang, Cunrui; Liu, Qiyong

doi:10.1016/j.envint.2016.04.001

Cited by 128 publications

(80 citation statements)

References 34 publications

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“…Both non-infectious and infectious causes of mortality will be modulated by such underlying biology. For non-infectious causes of mortality, seasonal fluctuations in temperature may modulate associated risk factors (such as the effects of temperature on stroke [3,4]); and seasonal fluctuations in behavior may alter psychological conditions (e.g. depression), or exposure to pollutants [5].…”

Section: Introductionmentioning

confidence: 99%

Long-term trends in seasonality of mortality in urban Madagascar: the role of the epidemiological transition

Schlüter

Masquelier

Metcalf

et al. 2020

Global Health Action

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Background: Seasonal patterns of mortality have been identified in Sub-Saharan Africa but their changes over time are not well documented. Objective: Based on death notification data from Antananarivo, the capital city of Madagascar, this study assesses seasonal patterns of all-cause and cause-specific mortality by age groups and evaluates how these patterns changed over the period 1976-2015. Methods: Monthly numbers of deaths by cause were obtained from death registers maintained by the Municipal Hygiene Office in charge of verifying deaths before the issuance of burial permits. Generalized Additive Mixed regression models (GAMM) were used to test for seasonality in mortality and its changes over the last four decades, controlling for long-term trends in mortality. Results: Among children, risks of dying were the highest during the hot and rainy season, but seasonality in child mortality has significantly declined since the mid-1970s, as a result of declines in the burden of infectious diseases and nutritional deficiencies. In adults aged 60 and above, all-cause mortality rates are the highest in the dry and cold season, due to peaks in cardiovascular diseases, with little change over time. Overall, changes in the seasonality of all-cause mortality have been driven by shifts in the hierarchy of causes of death, while changes in the seasonality within broad categories of causes of death have been modest. Conclusion: Shifts in disease patterns brought about by the epidemiological transition, rather than changes in seasonal variation in cause-specific mortality, are the main drivers of trends in the seasonality of all-cause mortality. ARTICLE HISTORY

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Section: Introductionmentioning

confidence: 99%

Long-term trends in seasonality of mortality in urban Madagascar: the role of the epidemiological transition

Schlüter

Masquelier

Metcalf

et al. 2020

Global Health Action

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“…However, temperature-related mortality effects varied greatly by countries and regions, and differed even from city to city471112. Moreover, climate patterns, socioeconomic status (e.g., education attainment), and study populations (e.g., different genders and age groups) can also modify temperature-mortality associations131415.…”

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confidence: 99%

Impact of temperature on mortality in Hubei, China: a multi-county time series analysis

Zhang

Bao

et al. 2017

Sci Rep

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We examined the impact of extreme temperatures on mortality in 12 counties across Hubei Province, central China, during 2009–2012. Quasi-Poisson generalized linear regression combined with distributed lag non-linear model was first applied to estimate county-specific relationship between temperature and mortality. A multivariable meta-analysis was then used to pool the estimates of county-specific mortality effects of extreme cold temperature (1st percentile) and hot temperature (99th percentile). An inverse J-shaped relationship was observed between temperature and mortality at the provincial level. Heat effect occurred immediately and persisted for 2–3 days, whereas cold effect was 1–2 days delayed and much longer lasting. Higher mortality risks were observed among females, the elderly aged over 75 years, persons dying outside the hospital and those with high education attainment, especially for cold effects. Our data revealed some slight differences in heat- and cold- related mortality effects on urban and rural residents. These findings may have important implications for developing locally-based preventive and intervention strategies to reduce temperature-related mortality, especially for those susceptible subpopulations. Also, urbanization should be considered as a potential influence factor when evaluating temperature-mortality association in future researches.

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“…This variation in changes might because those susceptible populations were also susceptible to the mortality effects of temperature, consequently, the control for temperature could dramatically affect the effects of PM 2.5 . Previous studies have concluded that the temperature can pose greater mortality effects on males and elderly people than other groups [42]. Besides, when we looked into the shape of the exposure-response curves for each type of cardiovascular mortality in the different subgroups, we found that the curves in males and the elderly were, generally, roughly linear without evidence of thresholds, whereas there exists smooth bumps with a downward trend at higher level of PM 2.5 (at least up to 200 μg/m 3 ) for females, especially for CVD and IHD mortality, which might partly reflect the previously observed saturation phenomenon in the particle exposure response [43,44,45], where the cardiovascular risk would not sustain an increase over the whole increase in particle exposure because the underlying biochemical and cellular processes involved may become statured with small doses of toxic components [45].…”

Section: Discussionmentioning

confidence: 99%

Ambient Fine Particulate Matter Exposure and Risk of Cardiovascular Mortality: Adjustment of the Meteorological Factors

Luo

Zhang

et al. 2016

IJERPH

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Few studies have explicitly explored the impacts of the extensive adjustment (with a lag period of more than one week) of temperature and humidity on the association between ambient fine particulate matter (PM2.5) and cardiovascular mortality. In a time stratified case-crossover study, we used a distributed lag nonlinear model to assess the impacts of extensive adjustments of temperature and humidity for longer lag periods (for 7, 14, 21, 28 and 40 days) on effects of PM2.5 on total cardiovascular mortality and mortality of cerebrovascular and ischemic heart disease and corresponding exposure-response relationships in Beijing, China, between 2008 and 2011. Compared with results only controlled for temperature and humidity for 2 days, the estimated effects of PM2.5 were smaller and magnitudes of exposure-response curves were decreased when longer lag periods of temperature and relative humidity were included for adjustments, but these changes varied across subpopulation, with marked decreases occurring in males and the elderly who are more susceptible to PM2.5-related mortalities. Our findings suggest that the adjustment of meteorological factors using lag periods shorter than one week may lead to overestimated effects of PM2.5. The associations of PM2.5 with cardiovascular mortality in susceptible populations were more sensitive to further adjustments for temperature and relative humidity.

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The burden of stroke mortality attributable to cold and hot ambient temperatures: Epidemiological evidence from China

Cited by 128 publications

References 34 publications

Long-term trends in seasonality of mortality in urban Madagascar: the role of the epidemiological transition

Long-term trends in seasonality of mortality in urban Madagascar: the role of the epidemiological transition

Impact of temperature on mortality in Hubei, China: a multi-county time series analysis

Ambient Fine Particulate Matter Exposure and Risk of Cardiovascular Mortality: Adjustment of the Meteorological Factors

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