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Updated: Jul 8, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Seasonality and clinical characteristics of MS in an equatorial country
Simón Cárdenas-Robledo1, Laura Estefanía Arenas-Vargas1, Michael Steven Carvajal-Parra2
1Centro de Esclerosis Múltiple (CEMHUN), Departamento de Neurología, Hospital Universitario Nacional de Colombia, Bogotá, Colombia; Departamento de Medicina Interna, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia.
Background:
Month and season of birth have been associated with risk of multiple sclerosis (MS), but there is relatively little evidence regarding their influence on the timing and severity of disease at onset.
Objective:
To assess whether month and season of birth influence the age and phenotype at onset of MS as well as its severity in a cohort of Colombian patients.
Methods:
This study is an analysis on MS cases only, drawn from a previously published case-control study. MS cases confirmed with current diagnostic criteria cared for at least once in our center were included. We assessed the influence of the month and season of birth in the age at MS onset, MS severity score, and age-related MS severity score using multiple and pairwise comparisons. Age at onset was also studied using Kaplan-Meier survival estimates compared with the log-rank test. The likelihood of progressive MS onset was evaluated with OR estimated from logistic regression models adjusted for age at onset and sex.
Results:
668 MS cases were included. No significant differences were found in the age at MS onset according to month of birth or season of birth. Neither month of birth nor season of birth conferred significant differences in MS severity score or age-related MS severity score. No significant association was found between month (ORs ranging from 0.62 to 3.11, none significant) or season of birth (OR 0.91; 95 %CI: 0.46-1.84) with primary progressive MS.
Conclusion:
The month or season of birth do not appear to influence the age onset and phenotype of MS in our country.
Insights
Birth month and season do not impact multiple sclerosis (MS) onset age or severity in Colombian patients. This study found no significant links between birth timing and MS disease characteristics in this population.
Area of Science:
- Neurology
- Epidemiology
- Environmental Health
Background:
- Previous research suggests month and season of birth may influence multiple sclerosis (MS) risk.
- However, limited evidence exists on their impact on MS onset timing and disease severity.
Purpose of the Study:
- To investigate if birth month and season affect age at onset, phenotype, and severity of MS in a Colombian patient cohort.
- To analyze the association between birth timing and primary progressive MS likelihood.
Main Methods:
- Analysis of 668 confirmed multiple sclerosis cases from a prior case-control study.
- Statistical evaluation of birth month and season's influence on age at onset, MS severity score, and age-related MS severity score.
- Kaplan-Meier survival analysis and logistic regression models were used to assess onset and progression.
Main Results:
- No statistically significant differences were observed in age at MS onset based on birth month or season.
- Birth month and season did not significantly influence MS severity scores.
- No significant association was found between birth timing and primary progressive MS.
Conclusions:
- In the studied Colombian population, month and season of birth do not appear to be significant factors influencing the age of onset or phenotype of multiple sclerosis.
- These findings contribute to understanding the environmental factors in MS etiology within a specific geographic context.
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