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Season of birth and Parkinson's disease: possible relationship?

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Title: Season of birth and Parkinson's disease: possible relationship?
Authors: Palladino, Raffaele, Moccia, Marcello, Pascale, Teresa, Montella, Emma, Torre, Ida, Vitale, Carmine, Barone, Paolo, Triassi, Maria
Source: Neurological Sciences. Aug2015, Vol. 36 Issue 8, p1457-1462. 6p. 1 Diagram, 2 Charts, 2 Graphs.
Subjects: Parkinson's disease patients, Parkinson's disease treatment, Physiological effects of vitamin D, Season of birth, Disease risk factors
Abstract: The amount of sun exposure in early life and consequent vitamin D3 level may influence the risk of developing Parkinson's disease (PD). Yet few studies have previously investigated birth trends in PD related to a possible seasonality and sun exposure. The aim of this study was to investigate a possible relationship between PD risk and sun exposure looking at seasonal birth variation of PD subjects in the homogenous geographic area of Naples, Italy. We selected 898 PD subjects and matched with 1796 controls. McNemar's test with Bonferroni correction and autocorrelation were used to test seasonality in birth trends. No difference was found for the month and season of birth between PD subjects and controls. We found a 3.3 % increase of PD female subjects born in September (3.3 %) and 4.1 % increase of PD male subjects born in spring comparing to controls but were not significant after Bonferroni correction. This study evaluated for the first time the seasonal birth trends in relation to PD risk in a Southern European population. We found no association between seasonal birth variations and risk of PD. [ABSTRACT FROM AUTHOR]
Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="JN" term="%22Neurological+Sciences%22">Neurological Sciences</searchLink>. Aug2015, Vol. 36 Issue 8, p1457-1462. 6p. 1 Diagram, 2 Charts, 2 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Parkinson's+disease+patients%22">Parkinson's disease patients</searchLink><br /><searchLink fieldCode="DE" term="%22Parkinson's+disease+treatment%22">Parkinson's disease treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Physiological+effects+of+vitamin+D%22">Physiological effects of vitamin D</searchLink><br /><searchLink fieldCode="DE" term="%22Season+of+birth%22">Season of birth</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+risk+factors%22">Disease risk factors</searchLink>
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  Data: The amount of sun exposure in early life and consequent vitamin D3 level may influence the risk of developing Parkinson's disease (PD). Yet few studies have previously investigated birth trends in PD related to a possible seasonality and sun exposure. The aim of this study was to investigate a possible relationship between PD risk and sun exposure looking at seasonal birth variation of PD subjects in the homogenous geographic area of Naples, Italy. We selected 898 PD subjects and matched with 1796 controls. McNemar's test with Bonferroni correction and autocorrelation were used to test seasonality in birth trends. No difference was found for the month and season of birth between PD subjects and controls. We found a 3.3 % increase of PD female subjects born in September (3.3 %) and 4.1 % increase of PD male subjects born in spring comparing to controls but were not significant after Bonferroni correction. This study evaluated for the first time the seasonal birth trends in relation to PD risk in a Southern European population. We found no association between seasonal birth variations and risk of PD. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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