Correlations between geomagnetic field and global occurrence of cardiovascular diseases: evidence from 204 territories in different latitude.
Cardiovascular disease
Cardiovascular risk factors
Geomagnetic disturbance
Geomagnetic field direction
Geomagnetic field intensity
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
11 09 2023
11 09 2023
Historique:
received:
31
05
2023
accepted:
04
09
2023
medline:
13
9
2023
pubmed:
12
9
2023
entrez:
11
9
2023
Statut:
epublish
Résumé
The correlation between stable geomagnetic fields and unstable geomagnetic activities with mortality, incidence, and prevalence of cardiovascular diseases (CVDs) remains ambiguous. 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. 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. 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.
Sections du résumé
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.
Identifiants
pubmed: 37697364
doi: 10.1186/s12889-023-16698-1
pii: 10.1186/s12889-023-16698-1
pmc: PMC10496193
doi:
Substances chimiques
Glia Maturation Factor
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1771Informations de copyright
© 2023. BioMed Central Ltd., part of Springer Nature.
Références
Sci Total Environ. 2022 Sep 15;839:156235
pubmed: 35644403
Psychiatry Clin Neurosci. 2014 Jun;68(6):404-9
pubmed: 24612477
Int J Environ Health Res. 2011 Jun;21(3):149-60
pubmed: 21506035
J Am Heart Assoc. 2019 Dec 3;8(23):e012551
pubmed: 31747863
Scr Med (Brno). 2010;83(1):16-32
pubmed: 21566725
Wiad Lek. 2016;69(3 pt 2):537-541
pubmed: 27717941
J Am Heart Assoc. 2021 Nov 2;10(21):e021006
pubmed: 34713707
Environ Res. 2021 Oct;201:111532
pubmed: 34166658
Rep Prog Phys. 2013 Sep;76(9):096801
pubmed: 24004491
Indian Pacing Electrophysiol J. 2006 Jan 01;6(1):49-53
pubmed: 16943895
Auton Autacoid Pharmacol. 2005 Jan;25(1):17-23
pubmed: 15659150
Am J Epidemiol. 2016 Jun 1;183(11):1071-3
pubmed: 27188937
Sci Rep. 2016 Jul 29;6:30783
pubmed: 27470078
J Pineal Res. 2010 Aug;49(1):14-22
pubmed: 20536686
Front Physiol. 2021 Mar 09;12:643943
pubmed: 33767637
Protein Cell. 2017 Jul;8(7):527-537
pubmed: 28447293
J Basic Clin Physiol Pharmacol. 2012;23(1):5-9
pubmed: 22865444
Stroke. 2014 Jun;45(6):1639-45
pubmed: 24757102
Sci Rep. 2018 Feb 8;8(1):2663
pubmed: 29422633
Biofizika. 1998 Jul-Aug;43(4):623-31
pubmed: 9783069
Environ Health. 2019 Sep 11;18(1):83
pubmed: 31511079
Neurosci Lett. 1999 May 14;266(3):209-12
pubmed: 10465710
Trends Cardiovasc Med. 2023 Feb;33(2):72-78
pubmed: 34678423
Int J Environ Res Public Health. 2020 Apr 29;17(9):
pubmed: 32365467
Int J Biometeorol. 2014 Aug;58(6):1295-303
pubmed: 24018849
Sci Rep. 2016 Dec 23;6(1):28
pubmed: 28442705
Heart Rhythm. 2022 Apr;19(4):632-639
pubmed: 34864166
Orig Life Evol Biosph. 2021 Sep;51(3):231-257
pubmed: 34363564
Circ Res. 2017 Jul 7;121(2):162-180
pubmed: 28684622
Int J Biometeorol. 2013 Sep;57(5):797-804
pubmed: 23179321
Front Physiol. 2018 Sep 03;9:1117
pubmed: 30233384
Europace. 2022 May 3;24(5):713-720
pubmed: 34791174
J Stroke Cerebrovasc Dis. 2018 Feb;27(2):404-417
pubmed: 29074064
J Am Coll Cardiol. 2020 Dec 22;76(25):2982-3021
pubmed: 33309175