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

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 disturban...

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Autores principales: Chai, Zheng, Wang, Yan, Li, Yi-Ming, Zhao, Zhen-Gang, Chen, Mao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496193/
https://www.ncbi.nlm.nih.gov/pubmed/37697364
http://dx.doi.org/10.1186/s12889-023-16698-1
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author Chai, Zheng
Wang, Yan
Li, Yi-Ming
Zhao, Zhen-Gang
Chen, Mao
author_facet Chai, Zheng
Wang, Yan
Li, Yi-Ming
Zhao, Zhen-Gang
Chen, Mao
author_sort Chai, Zheng
collection PubMed
description 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.
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spelling pubmed-104961932023-09-13 Correlations between geomagnetic field and global occurrence of cardiovascular diseases: evidence from 204 territories in different latitude Chai, Zheng Wang, Yan Li, Yi-Ming Zhao, Zhen-Gang Chen, Mao BMC Public Health Research 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. BioMed Central 2023-09-11 /pmc/articles/PMC10496193/ /pubmed/37697364 http://dx.doi.org/10.1186/s12889-023-16698-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chai, Zheng
Wang, Yan
Li, Yi-Ming
Zhao, Zhen-Gang
Chen, Mao
Correlations between geomagnetic field and global occurrence of cardiovascular diseases: evidence from 204 territories in different latitude
title Correlations between geomagnetic field and global occurrence of cardiovascular diseases: evidence from 204 territories in different latitude
title_full Correlations between geomagnetic field and global occurrence of cardiovascular diseases: evidence from 204 territories in different latitude
title_fullStr Correlations between geomagnetic field and global occurrence of cardiovascular diseases: evidence from 204 territories in different latitude
title_full_unstemmed Correlations between geomagnetic field and global occurrence of cardiovascular diseases: evidence from 204 territories in different latitude
title_short Correlations between geomagnetic field and global occurrence of cardiovascular diseases: evidence from 204 territories in different latitude
title_sort correlations between geomagnetic field and global occurrence of cardiovascular diseases: evidence from 204 territories in different latitude
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496193/
https://www.ncbi.nlm.nih.gov/pubmed/37697364
http://dx.doi.org/10.1186/s12889-023-16698-1
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