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Background:Previous publications reported that an individual's month of birth (MOB) might have an important correlation to that consequent risk of multiple sclerosis (MS).Aim:The aim of this preliminary study was to investigate the distribution of different MOBs inpatients with MS in Isfahan, Iran.Materials and Methods:This investigation was conducted to the Isfahan Neurosciences Research Centre. 1283 patients with MS were studied. Clinical data were recorded in d-Base and analyzed using SPSS (version 18) for Windows.Results:Of the total population studied there were 979 females and 304 males. The mean age of all the patients was 34.6 years (range 10-87 years). Within the total population, the MOBs in the 62% of patients were in the season's spring and summer, and in 38% of patients they were in the season's autumn and winter. As the MOB might be recognized to have a bearing on an individual's risk of contracting MS, the highest and lowest correlations seem to be linked with April, September, May (↑), and November (↓), respectively.Conclusions:The seasonal relationship between MOBs and MS risk might be pointed toward a potential function for vitamin D throughout pregnancy or the early life of the newborn. Further studies are needed to confirm these correlations.
Background:Previous publications reported that an individual's month of birth (MOB) might have an important correlation to that consequent risk of multiple sclerosis (MS).Aim:The aim of this preliminary study was to investigate the distribution of different MOBs inpatients with MS in Isfahan, Iran.Materials and Methods:This investigation was conducted to the Isfahan Neurosciences Research Centre. 1283 patients with MS were studied. Clinical data were recorded in d-Base and analyzed using SPSS (version 18) for Windows.Results:Of the total population studied there were 979 females and 304 males. The mean age of all the patients was 34.6 years (range 10-87 years). Within the total population, the MOBs in the 62% of patients were in the season's spring and summer, and in 38% of patients they were in the season's autumn and winter. As the MOB might be recognized to have a bearing on an individual's risk of contracting MS, the highest and lowest correlations seem to be linked with April, September, May (↑), and November (↓), respectively.Conclusions:The seasonal relationship between MOBs and MS risk might be pointed toward a potential function for vitamin D throughout pregnancy or the early life of the newborn. Further studies are needed to confirm these correlations.
Background: Multiple Sclerosis (MS) is an inflammatory demyelinating disease leading to formation of brain lesions that could produce numerous devastating clinical problems. There are controversial reports related to the type of association of MS with the seasons of birth. Objectives: This study aimed to rank and describe the effect of different months and days of birth on MS. Patients and Methods: The study was conducted in Isfahan University of Medical Sciences, Isfahan, Iran. A total of 1484 patients with MS were included: 1111 females and 373 males. Demographic and clinical data were recorded in a database and were analyzed using SPSS. Results: The population of females with MS had surpassed that of males (75% vs. 25%). The mean age of patients was 34.7 years (range from 7 to 88 years) with 85% of population being younger than 50 years old. The season of birth was winter in 21% of patients. There was a decreased risk of MS in those born in February and March. The prevalence of MS increased from April and reached a peak in May and September. Day of birth was associated with the birthday on 19th day of month in 44% of patients. Conclusions: This investigation supports earlier reports of increased and diminished prevalence of MS in those born in the spring and winter months, respectively. Pharmacotherapy using vitamin D might have beneficial effect in Iranian population, especially in females during pregnancy and their newborns. Therefore, further clinical researches focused on prescription of vitamin D, genetic, daily photoperiod, and geo-epidemiologic differences of disease are recommended.
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