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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K
Longitudinal Studies01:26

Longitudinal Studies

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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
195

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Related Experiment Video

Updated: Aug 7, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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Frailty and relapse activity in multiple sclerosis: A longitudinal observation.

Viola Baione1, Marco Canevelli2, Daniele Belvisi3

  • 1Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.

Multiple Sclerosis and Related Disorders
|March 11, 2023
PubMed
Summary

Frailty, measured by the Frailty Index (FI), is inversely associated with relapse activity in multiple sclerosis (MS). Lower FI scores predict a higher likelihood of relapses in MS patients.

Keywords:
AgingFrailtyImmunosenescenceMultiple sclerosisNeurodegeneration

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Area of Science:

  • Neurology
  • Gerontology
  • Immunology

Background:

  • Cross-sectional studies indicate a link between frailty and multiple sclerosis (MS).
  • The association between frailty and MS relapse activity remains unclear.
  • This study investigates the relationship between the Frailty Index (FI) and MS relapses over one year.

Discussion:

  • A univariate regression analysis revealed an inverse association between baseline FI scores and MS relapse presence.
  • This inverse relationship was further confirmed through multivariate regression modeling.
  • These findings suggest frailty may indicate underlying pathophysiological processes driving MS disease activity.

Key Insights:

  • Frailty, assessed using the Frailty Index (FI), is significantly linked to disease activity in multiple sclerosis (MS).
  • A lower baseline FI score is associated with an increased likelihood of experiencing relapses in MS patients.
  • The FI may serve as a valuable biomarker for MS progression and relapse prediction.

Outlook:

  • The Frailty Index (FI) could be utilized as an enrichment criterion in clinical trials for multiple sclerosis (MS).
  • Further research is warranted to elucidate the specific pathophysiological mechanisms linking frailty and MS.
  • Investigating frailty's role may lead to novel therapeutic targets for managing MS relapses.