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中国各省日照时长与死亡率之间的关联:面板数据研究。

Association between provincial sunshine duration and mortality rates in China: Panel data study.

作者信息

Fu Yu, Wang Weidong

机构信息

Urban Vocational College of Sichuan, Chengdu, China.

Sichuan Cancer Hospital & Institute, Chengdu, China.

出版信息

Heliyon. 2023 Apr 30;9(5):e15862. doi: 10.1016/j.heliyon.2023.e15862. eCollection 2023 May.

Abstract

BACKGROUND

mortality rates are usually influenced by the variations of environmental factors. However, there are few studies on the impact of sunlight duration induced mortality. In this study, we examine provincial level associations between the sunshine duration and crude mortality rates.

METHODS

we use China mortality data from the National Bureau of Statistics of China combined with China census data and data from the China Meteorological Data Service Centre. Annual mortality rates for 31 provinces, autonomous regions, and municipalities in China from 2005 to 19. Data are analyzed at the provincial level by using panel regression methods. The main outcome measures are the mortality rates associated with average daily sunshine duration. Then we perform a series of sentimental analyses.

RESULTS

the average daily sunshine duration ratio cubed is positively associated with provincial level mortality rates (β = 11.509, 95% confidence interval 1.869 to 21.148). According to this estimate, increasing 2.895 h of additional daily sunshine is associated with an estimated 1.15% increase in the crude mortality rates. A series of sensitivity analyses show a consistent pattern of associations between average daily sunshine duration ratio cubed and mortality rates.

CONCLUSIONS

more sunshine duration is associated with increased mortality rates. While the associations documented cannot be assumed to be causal, they suggest a potential association between increased sunshine duration and increased mortality rates.

摘要

背景

死亡率通常受环境因素变化的影响。然而,关于日照时长导致死亡率的影响的研究较少。在本研究中,我们考察了省级层面日照时长与粗死亡率之间的关联。

方法

我们使用了中国国家统计局的中国死亡率数据,并结合中国人口普查数据以及中国气象数据服务中心的数据。分析了2005年至2019年中国31个省、自治区和直辖市的年度死亡率。通过面板回归方法在省级层面进行数据分析。主要结局指标是与平均每日日照时长相关的死亡率。然后我们进行了一系列敏感性分析。

结果

平均每日日照时长比值的立方与省级层面的死亡率呈正相关(β = 11.509,95%置信区间为1.869至21.148)。根据这一估计,每日日照时长增加2.895小时与粗死亡率估计增加1.15%相关。一系列敏感性分析显示平均每日日照时长比值的立方与死亡率之间存在一致的关联模式。

结论

日照时长增加与死亡率上升相关。虽然所记录的关联不能被假定为因果关系,但它们表明日照时长增加与死亡率上升之间可能存在关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dd9/10199197/8db794f5d49e/gr1.jpg

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