Related Experiment Video
Updated: May 21, 2026
10:46
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Spatial and temporal trends of multiple sclerosis mortality in Spain, 1992-2022
Ángel Zornoza-Valverde1, María Pastor-Valero2, Julián Librero-López3
1Departamento de Medicina Clínica, Facultad de Medicina, Universidad Miguel Hernández de Elche, Alicante, Spain.
Multiple Sclerosis and Related Disorders
|May 19, 2026
Summary
Multiple sclerosis (MS) mortality in Spain increased from 1992-2022, with a notable north-south gradient. The female-to-male mortality ratio also rose, particularly for those born between 1950-1960.
Area of Science:
- Neurology
- Epidemiology
- Public Health
Background:
- Multiple sclerosis (MS) is a chronic neurological disease with significant public health implications.
- Understanding temporal and geographic trends in MS mortality is crucial for resource allocation and intervention strategies.
Purpose of the Study:
- To analyze mortality trends of multiple sclerosis (MS) in Spain between 1992 and 2022.
- To investigate geographic, age, and sex-specific mortality patterns, including period and cohort effects.
Main Methods:
- Retrospective population-based ecological study utilizing Spanish National Statistics Institute data.
- Identification of MS deaths via ICD-9 (340) and ICD-10 (G35) codes.
- Analysis using spatial Age-Period-Cohort models and Joinpoint regression for national trends.
Main Results:
- A total of 6524 MS deaths occurred between 1992-2022, with a 1% annual increase in both sexes.
- A significant north-south gradient in MS mortality was observed across Spain.
- The highest risk cohort comprised individuals born between 1950 and 1960, with a rising female-to-male mortality ratio.
Conclusions:
- MS mortality has increased in Spain from 1992-2022, with distinct geographic patterns.
- While not statistically significant, the increasing female-to-male mortality ratio warrants further investigation.
- Findings highlight population-level associations and the need for continued epidemiological surveillance of MS.
Related Concept Videos
01:19Multiple Sclerosis l: Introduction
Multiple sclerosis is a chronic autoimmune disease of the central nervous system (CNS) that affects the brain, spinal cord, and optic nerves. It is an inflammatory demyelinating disorder and a leading cause of neurological disability in young adults.EpidemiologyMS commonly begins between 20 and 40 years of age and is twice as common in women. Its exact cause remains unclear, but genetic susceptibility contributes, with higher risk in first-degree relatives and identical twins. A greater...
01:25Statistical Methods for Analyzing Epidemiological Data
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
01:20Actuarial Approach
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
01:21Cancer Survival Analysis
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
01:22Applications of Life Tables
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...