Auto-Immune Diseases, Head and Neck Trauma, and Smoking Are Strong Predictors of Multiple Sclerosis

This study provided a broad picture of the factors associated with MS, most of which were modifiable. Positive alterations to these factors through social and health educational programs are likely to reduce the burden of MS in Iran.

Authors

Institutions

Publication Details

Journal
Iranian Journal of Public Health
Published
2024-09-16
DOI
https://doi.org/10.18502/ijph.v53i9.16467
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Auto-Immune Diseases, Head and Neck Trauma, and Smoking Are Strong Predictors of Multiple Sclerosis

Mohammad Fararouei, Farzaneh Mobasheri, Abbas Rahimi Jaberi, Jafar Hasanzadeh
Iranian Journal of Public Health
Multiple Sclerosis Research Studies
article

Auto-Immune Diseases, Head and Neck Trauma, and Smoking Are Strong Predictors of Multiple Sclerosis

Mohammad Fararouei, Farzaneh Mobasheri, Abbas Rahimi Jaberi, Jafar Hasanzadeh
article en

Abstract

This study provided a broad picture of the factors associated with MS, most of which were modifiable. Positive alterations to these factors through social and health educational programs are likely to reduce the burden of MS in Iran.

Iranian Journal of Public HealthVol. 53(9)
Shiraz University of Medical Sciences (IR), Jahrom University of Medical Sciences (IR)
Shiraz University of Medical Sciences, Shiraz University
Good health and well-being
Openalex Percentile: Top 74%
Multiple Sclerosis Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.