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地磁与全球心血管疾病发病的相关性:来自不同纬度 204 个地区的证据。

Correlations between geomagnetic field and global occurrence of cardiovascular diseases: evidence from 204 territories in different latitude.

机构信息

Laboratory of Heart Valve Disease and Department of Cardiology, West China Hospital, Sichuan University, No. 37 GuoXue Alley, Chengdu, Sichuan, 610041, P.R. China.

出版信息

BMC Public Health. 2023 Sep 11;23(1):1771. doi: 10.1186/s12889-023-16698-1.

DOI:10.1186/s12889-023-16698-1
PMID:37697364
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10496193/
Abstract

BACKGROUND

The correlation between stable geomagnetic fields and unstable geomagnetic activities with mortality, incidence, and prevalence of cardiovascular diseases (CVDs) remains ambiguous.

METHOD

To investigate the correlations between geomagnetic field (GMF) intensity and geomagnetic disturbance (GMD) and CVDs events in global, long-period scale, global and 204 countries and territories were included on the base of 2019 Global Burden of Disease study (GBD 2019). Data of GMF intensity, GMD frequency, CVDs events, weather and health economic indicators from 1996 to 2019 of included locations were collected. Linear regression and panel data modelling were conducted to identify the correlations between GMF intensity and CVDs events, multi-factor panel data analysis was also generated to adjust the effect of confounding factors.

RESULTS

For the average data during 1996-2019, linear regression model revealed consistent positive correlations between total GMF (tGMF) intensity and mortality of total CVDs [coef = 0.009, (0.006,0.011 95%CI)], whereas negative correlations were found between horizonal GMF (hGMF) intensity and total CVD mortality [coef = -0.010 (-0.013, -0.007 95%CI)]. When considering the time trend, panel data analysis still demonstrated positive correlation between tGMF and total CVDs mortality [coef = 0.009, (0.008,0.009 95%CI)]. Concurrently, the hGMF negatively correlated with total CVDs mortality [coef = -0.008, (-0.009, -0.007 95%CI)]. When the panel models were adjusted for confounding factors, no reverse of correlation tendency was found between tGMF, hGMF and CVDs events. In high-income territories, positive correlation was found between geomagnetic storm (GMS) frequency and mortality of total CVDs [coef = 14.007,(2.785, 25.229 95%CI)], however, this positive trend faded away gradually with the latitude decreasing from polar to equator.

CONCLUSIONS

Stable and long-term horizontal component of GMF may be beneficial to cardiac health. Unstable and short-term GMF called GMD could be a hazard to cardiac health. Our results suggest the importance of regular GMF in maintaining cardio-health state and the adverse impacts of GMD on cardiac health.

摘要

背景

稳定的地磁场与不稳定的地磁场活动与心血管疾病(CVD)的死亡率、发病率和患病率之间的相关性仍不明确。

方法

为了在全球范围内研究地磁场(GMF)强度和地磁扰动(GMD)与 CVD 事件之间的相关性,我们在 2019 年全球疾病负担研究(GBD 2019)的基础上纳入了全球和 204 个国家和地区的数据。收集了纳入地点 1996 年至 2019 年期间的 GMF 强度、GMD 频率、CVD 事件、天气和健康经济指标的数据。采用线性回归和面板数据分析模型来确定 GMF 强度与 CVD 事件之间的相关性,还进行了多因素面板数据分析来调整混杂因素的影响。

结果

对于 1996-2019 年的平均数据,线性回归模型显示 GMF 总强度(tGMF)与总 CVD 死亡率之间存在一致的正相关关系[系数=0.009(0.006,0.011 95%CI)],而 GMF 水平分量(hGMF)与总 CVD 死亡率之间则存在负相关关系[系数=-0.010(-0.013,-0.007 95%CI)]。考虑到时间趋势,面板数据分析仍然显示 tGMF 与总 CVD 死亡率之间存在正相关关系[系数=0.009(0.008,0.009 95%CI)]。同时,hGMF 与总 CVD 死亡率呈负相关[系数=-0.008(-0.009,-0.007 95%CI)]。当对面板模型进行混杂因素调整时,tGMF、hGMF 与 CVD 事件之间的相关性趋势并未发生逆转。在高收入地区,GMF 风暴(GMS)频率与总 CVD 死亡率之间存在正相关关系[系数=14.007(2.785,25.229 95%CI)],然而,随着纬度从极地向赤道逐渐降低,这种正相关趋势逐渐减弱。

结论

稳定的长期地磁场水平分量可能有利于心脏健康。不稳定的短期地磁场即 GMD 可能对心脏健康构成危害。我们的研究结果表明,GMF 的定期出现对维持心脏健康状态的重要性,以及 GMD 对心脏健康的不利影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba26/10496193/b394d88165cb/12889_2023_16698_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba26/10496193/678df3515174/12889_2023_16698_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba26/10496193/4d9cfe0c3da8/12889_2023_16698_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba26/10496193/8b043ff9f904/12889_2023_16698_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba26/10496193/b394d88165cb/12889_2023_16698_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba26/10496193/678df3515174/12889_2023_16698_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba26/10496193/4d9cfe0c3da8/12889_2023_16698_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba26/10496193/8b043ff9f904/12889_2023_16698_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba26/10496193/b394d88165cb/12889_2023_16698_Fig4_HTML.jpg

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