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Updated: May 26, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

Design, methodological issues and participation in a multiple sclerosis case-control study.

D M Williamson¹, R A Marrie, A Ashley-Koch

¹Division of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA. djw8@cdc.gov

Acta Neurologica Scandinavica

|December 17, 2011

Summary

This summary is machine-generated.

This study investigated environmental and genetic factors for multiple sclerosis (MS) risk. Methodological challenges were identified and addressed, highlighting the importance of robust epidemiological study design for complex diseases like MS.

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Area of Science:

Neurology
Epidemiology
Genetics

Background:

Multiple sclerosis (MS) is a complex neurological disease with suspected environmental and genetic influences.
Previous research suggests certain factors may increase MS risk, necessitating further investigation.
Understanding these factors is crucial for developing effective prevention and treatment strategies.

Purpose of the Study:

To determine the association between multiple sclerosis (MS) risk and specific environmental exposures or genetic factors.
To describe the methodological issues, study design, and population characteristics of the research.
To address challenges encountered during the study to ensure scientific validity.

Main Methods:

A case-control study design was employed, identifying individuals with definite MS.
Controls were recruited via random digit dialing due to inefficiencies with clinic-based recruitment.
Detailed environmental exposure questionnaires were administered via computer-assisted telephone interviewing, and blood samples were collected for genetic analysis.

Main Results:

The study included 276 cases and 590 controls, with participation rates ranging from 28.4% to 38.9%.
Cases were more likely to be non-Hispanic white and older compared to their source populations.
A high proportion of participants (91%) provided blood samples for genotyping.

Conclusions:

Epidemiological studies are vital for uncovering genetic and environmental links to complex diseases like MS.
Methodological challenges are inherent in such studies and require timely, scientifically sound detection and correction.
The findings underscore the need for adaptable and rigorous research methodologies in complex disease research.