Cyclic patterns of incidence rate for skin malignant melanoma: association with heliogeophysical activity
Cyclic patterns of incidence rate for skin malignant melanoma: association with heliogeophysical activity
Background: our previous studies revealed cyclicity in the incidence rate of skin malignant melanoma (SMM; ICD9, Dx:172) in the Czech Republic (period T=7.50?7.63 years), UK (T=11.00 years) and Bulgaria (T=12.20 years). Incidences compared with the sunspot index Rz (lag-period dT=+2, +4, +6, +10 or +12 years) have indicated that maximal rates are most likely to appear on descending slopes of the 11-year solar cycle, i.e., out of phase. We summarized and explored more deeply these cyclic variations and discussed their possible associations with heliogeophysical activity (HGA) components exhibiting similar cyclicity.
Methods: annual incidences of SMM from 5 countries (Czech Republic, UK, Bulgaria, USA and Canada) over various time spans during the years 1964?1992 were analyzed and their correlations with cyclic Rz (sunspot number) and aa (planetary geomagnetic activity) indices were summarized. Periodogram regression analysis with trigonometric approximation and phase-correlation analysis were applied.
Results: previous findings on SMM for the Czech Republic, UK and Bulgaria have been validated, and cyclic patterns have been revealed for USA (T=8.63 years, P<0.05) and Canada (Ontario, T=9.91 years, P<0.10). Also, various ‘hypercycles’ were established (T=45.5, 42.0, 48.25, 34.5 and 26.5 years, respectively) describing long-term cyclic incidence patterns. The association of SMM for USA and Canada with Rz (dT=+6 and +7 years, respectively) and aa (dT=?10 and +9 years, respectively) was described. Possible interactions of cyclic non-photic influences (UV irradiation, Schumann resonance signal, low-frequency geomagnetic fluctuations) with brain waves absorbance, neuronal calcium dynamics, neuro-endocrine axis modulation, melatonin/serotonin disbalance and skin neuro-immunity impairment as likely causal pathways in melanoma appearance, were also discussed.
Conclusion: the above findings on cyclicity and temporal association of SMM with cyclic environmental factors could not only allow for better forecasting models but also lead to a better understanding of melanoma aetiology
489-495
Dimitrov, Borislav D.
366d715f-ffd9-45a1-8415-65de5488472f
Rachkova, Mariana I.
4f53ba97-e243-460d-94ee-70ff4dc621cb
Atanassova, Penka A.
db224499-1eca-4548-8968-57f905c4582a
5 June 2008
Dimitrov, Borislav D.
366d715f-ffd9-45a1-8415-65de5488472f
Rachkova, Mariana I.
4f53ba97-e243-460d-94ee-70ff4dc621cb
Atanassova, Penka A.
db224499-1eca-4548-8968-57f905c4582a
Dimitrov, Borislav D., Rachkova, Mariana I. and Atanassova, Penka A.
(2008)
Cyclic patterns of incidence rate for skin malignant melanoma: association with heliogeophysical activity.
Journal of Zhejiang University - Science B, 9 (6), .
(doi:10.1631/jzus.B0820076).
(PMID:18543403)
Abstract
Background: our previous studies revealed cyclicity in the incidence rate of skin malignant melanoma (SMM; ICD9, Dx:172) in the Czech Republic (period T=7.50?7.63 years), UK (T=11.00 years) and Bulgaria (T=12.20 years). Incidences compared with the sunspot index Rz (lag-period dT=+2, +4, +6, +10 or +12 years) have indicated that maximal rates are most likely to appear on descending slopes of the 11-year solar cycle, i.e., out of phase. We summarized and explored more deeply these cyclic variations and discussed their possible associations with heliogeophysical activity (HGA) components exhibiting similar cyclicity.
Methods: annual incidences of SMM from 5 countries (Czech Republic, UK, Bulgaria, USA and Canada) over various time spans during the years 1964?1992 were analyzed and their correlations with cyclic Rz (sunspot number) and aa (planetary geomagnetic activity) indices were summarized. Periodogram regression analysis with trigonometric approximation and phase-correlation analysis were applied.
Results: previous findings on SMM for the Czech Republic, UK and Bulgaria have been validated, and cyclic patterns have been revealed for USA (T=8.63 years, P<0.05) and Canada (Ontario, T=9.91 years, P<0.10). Also, various ‘hypercycles’ were established (T=45.5, 42.0, 48.25, 34.5 and 26.5 years, respectively) describing long-term cyclic incidence patterns. The association of SMM for USA and Canada with Rz (dT=+6 and +7 years, respectively) and aa (dT=?10 and +9 years, respectively) was described. Possible interactions of cyclic non-photic influences (UV irradiation, Schumann resonance signal, low-frequency geomagnetic fluctuations) with brain waves absorbance, neuronal calcium dynamics, neuro-endocrine axis modulation, melatonin/serotonin disbalance and skin neuro-immunity impairment as likely causal pathways in melanoma appearance, were also discussed.
Conclusion: the above findings on cyclicity and temporal association of SMM with cyclic environmental factors could not only allow for better forecasting models but also lead to a better understanding of melanoma aetiology
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Published date: 5 June 2008
Organisations:
Primary Care & Population Sciences
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Local EPrints ID: 337463
URI: http://eprints.soton.ac.uk/id/eprint/337463
ISSN: 1673-1581
PURE UUID: 74b140d7-6acd-44ae-bd29-fc87a20b95a5
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Date deposited: 26 Apr 2012 10:07
Last modified: 14 Mar 2024 10:53
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Author:
Borislav D. Dimitrov
Author:
Mariana I. Rachkova
Author:
Penka A. Atanassova
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