Life loss of cardiovascular diseases per death attributable to ambient temperature: A national time series analysis based on 364 locations in China

Hu, Jianxiong; Hou, Zhulin; Xu, Yanjun; Zhou, Maigeng; Zhou, Chunliang; Xiao, Yize; Yu, Min; Huang, Biao; Xu, Xiaojun; Lin, Lifeng; Liu, Tao; Xiao, Jianpeng; Gong, Weiwei; Hu, Ruying; Li, Junhua; Jin, Donghui; Qin, Mingfang; Zhao, Qian; Yin, Peng; Xu, Yuliang; Zeng, Weilin; Li, Xing; He, Guanhao; Chen, Siqi; Guo, Lingchuan; Huang, Cunrui; Ma, Wenjun

doi:10.1016/j.scitotenv.2020.142614

Cited by 29 publications

(13 citation statements)

References 32 publications

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“…We collected meteorological data (2013-2019) in 698 monitoring stations across China from the China Meteorological Data Sharing Service System ( http://data.cma.cn/ ). Daily mean temperature (Tm) and relative humidity (Rh) were applied a thin plate smoothing spline function and interpolated to 0.01° × 0.01° (approximately equal to 1 km × 1 km) resolution grids 12 , 66 . The interpolation function included longitude, latitude and altitude as variables, and the results were verified with well accuracy by a 10-fold cross-validation method (Tm: R 2 = 0.96, root mean squared error = 2.37 °C; Rh: R 2 = 0.81, root mean squared error = 7.70%).…”

Section: Methodsmentioning

confidence: 99%

Temperature-related mortality in China from specific injury

Meng

et al. 2023

Nat Commun

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Injury poses heavy burden on public health, accounting for nearly 8% of all deaths globally, but little evidence on the role of climate change on injury exists. We collect data during 2013-2019 in six provinces of China to examine the effects of temperature on injury mortality, and to project future mortality burden attributable to temperature change driven by climate change based on the assumption of constant injury mortality and population scenario. The results show that a 0.50% (95% confident interval (CI): 0.13%–0.88%) increase of injury mortality risk for each 1 °C rise in daily temperature, with higher risk for intentional injury (1.13%, 0.55%–1.71%) than that for unintentional injury (0.40%, 0.04%–0.77%). Compared to the 2010s, total injury deaths attributable to temperature change in China would increase 156,586 (37,654–272,316) in the 2090 s under representative concentration pathways 8.5 scenario with the highest for transport injury (64,764, 8,517–115,743). Populations living in Western China, people aged 15–69 years, and male may suffer more injury mortality burden from increased temperature caused by climate change. Our findings may be informative for public health policy development to effectively adapt to climate change.

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Section: Methodsmentioning

confidence: 99%

Temperature-related mortality in China from specific injury

Meng

et al. 2023

Nat Commun

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“…Third, we just used PM 10 as an indicator of air pollution and its control in the model, which may not fully control the confounding effects of air pollution. Considering the close correlation between PM 10 and other air pollutants ( 28 ), this is a feasible method to control air pollution and widely used in previous studies ( 9 , 11 , 29 ).…”

Section: Discussionmentioning

confidence: 99%

“…The Australian National University Splines (ANUSPLIN), an interpolation package based on the thin plate smoothing spline function, was employed to interpolate daily mean temperature and RH at 0•01 • × 0•01 • resolution across China (10). Their prediction accuracies have been verified (9,11). Daily meteorological data of all 285 locations were extracted from the interpolated daily corresponding grid.…”

Section: Data Collectionmentioning

confidence: 91%

The Spring Festival Is Associated With Increased Mortality Risk in China: A Study Based on 285 Chinese Locations

Cai

Meng

et al. 2022

Front. Med.

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BackgroundThe Spring Festival is one of the most important traditional festivals in China. This study aimed to estimate the mortality risk attributable to the Spring Festival.MethodsBetween 2013 and 2017, daily meteorological, air pollution, and mortality data were collected from 285 locations in China. The Spring Festival was divided into three periods: pre-Spring Festival (16 days before Lunar New Year's Eve), mid-Spring Festival (16 days from Lunar New Year's Eve to Lantern Festival), and post-Spring Festival (16 days after Lantern Festival). The mortality risk attributed to the Spring Festival in each location was first evaluated using a distributed lag nonlinear model (DLNM), and then it was pooled using a meta-analysis model.ResultsWe observed a dip/rise mortality pattern during the Spring Festival. Pre-Spring Festival was significantly associated with decreased mortality risk (ER: −1.58%, 95%CI: −3.09% to −0.05%), and mid-Spring Festival was unrelated to mortality risks, while post-Spring Festival was significantly associated with increased mortality risk (ER: 3.63%, 95%CI: 2.15–5.12%). Overall, a 48-day Spring Festival period was associated with a 2.11% (95%CI: 0.91–3.33%) increased mortality. We also found that the elderly aged over 64 years old, women, people with cardiovascular disease (CVD), and people living in urban areas were more vulnerable to the Spring Festival.ConclusionOur study found that the Spring Festival significantly increased the mortality risk in China. These findings suggest that it is necessary to develop clinical and public health policies to alleviate the mortality burden associated with the Spring Festival.

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“…A low percentage of young people may suffer from CVDs. However, YLL can give more weight to deaths among younger patients; therefore, the mortality burden of each death is heavier (Hu et al 2021 ). These findings suggest that when we use YLL per death as a measure, we should pay more attention to men and young people in planning adaptation policies, public health interventions and social services to alleviate the impact of temperature.…”

Section: Discussionmentioning

confidence: 99%

“…Recently, one national study reported life loss of CVDs per death attributable to ambient temperature, which used crude YLL rate (YLL per 100,000 population) as a novel measure. The results presented that both high and low temperatures could increase YLL rates of CVDs (Hu et al 2021 ). However, the study cannot support more precise impact for specific region, especially for Hunan province, central China.…”

Section: Introductionmentioning

confidence: 99%

Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China

Zhou

Jin

et al. 2021

Environ Sci Pollut Res

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Background In the context of global climate change, studies have focused on the ambient temperature and mortality of cardiovascular diseases (CVDs). However, little is known about the effect of ambient temperature on year of life lost (YLL), especially the life loss per death caused by ambient temperature. In this study, we aimed to assess the relationship between ambient temperature and life loss and estimate the impact of ambient temperature on life loss per death. Methods We collected daily time series of mortality and meteorological data from 70 locations in Hunan province, central China, in periods ranging from Jan. 1, 2013, to Dec. 31, 2017. Crude rates of YLL were calculated per 100,000 people per year (YLL/100,000 population) for each location. A distributed lag nonlinear model and multivariate meta-regression were used to estimate the associations between ambient temperature and YLL rates. Then, the average life loss per death attributable to ambient temperature was calculated. Results There were 711,484 CVD deaths recorded within the study period. The exposure-response curve between ambient temperature and YLL rates was inverted J or U-shaped. Relative to the minimum YLL rate temperature, the life loss risk of extreme cold temperature lasted for 10 to 12 days, whereas the risk of extreme hot temperature appeared immediately and lasted for 3 days. On average, the life loss per death attributable to non-optimum ambient temperatures was 1.89 (95% CI, 1.21-2.56) years. Life loss was mainly caused by cold temperature (1.13, 95% CI, 0.89‑1.37), particularly moderate cold (1.00, 95% CI, 0.78‑1.23). For demographic characteristics, the mean life loss per death was relatively higher for males (2.07, 95% CI, 1.44‑2.68) and younger populations (3.72, 95% CI, 2.06‑5.46) than for females (1.88, 95% CI, 1.21-2.57) and elderly people (1.69, 95% CI, 1.28-2.10), respectively. Conclusions We found that both cold and hot temperatures significantly aggravated premature death from CVDs. Our results indicated that the whole range of effects of ambient temperature on CVDs should be given attention.

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Life loss of cardiovascular diseases per death attributable to ambient temperature: A national time series analysis based on 364 locations in China

Cited by 29 publications

References 32 publications

Temperature-related mortality in China from specific injury

Temperature-related mortality in China from specific injury

The Spring Festival Is Associated With Increased Mortality Risk in China: A Study Based on 285 Chinese Locations

Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China

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