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High Correlations Among Worldwide Prevalences of Dementias, Parkinson’s Disease, Multiple Sclerosis, and Motor Neuron Diseases Indicate Common Causative Factors
Dementia, Parkinson’s disease, multiple sclerosis, and motor neuron diseases cause significant disability and mortality worldwide. Although the etiology of these diseases is unknown, highly correlated disease prevalences would indicate the involvement of common etiologic factors. Here we used publis...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364200/ https://www.ncbi.nlm.nih.gov/pubmed/35965966 http://dx.doi.org/10.1177/26331055221117598 |
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author | James, Lisa M Georgopoulos, Apostolos P |
author_facet | James, Lisa M Georgopoulos, Apostolos P |
author_sort | James, Lisa M |
collection | PubMed |
description | Dementia, Parkinson’s disease, multiple sclerosis, and motor neuron diseases cause significant disability and mortality worldwide. Although the etiology of these diseases is unknown, highly correlated disease prevalences would indicate the involvement of common etiologic factors. Here we used published epidemiological data in 195 countries worldwide to investigate the possible intercorrelations among the prevalences of these diseases. All analyses were carried out using nonparametric statistics on rank-transformed data to assure the robustness of the results. We found that all 6 pairwise correlations among the prevalences of the 4 diseases were very high (>.9, P < .001). A factor analysis (FA) yielded only a single component which comprised all 4 disease prevalences and explained 96.3% of the variance. These findings indicate common etiologic factor(s). Next, we quantified the contribution of 3 country-specific factors (population size, life expectancy, latitude) to the common grouping of prevalences by estimating the reduction in total FA variance explained when the effect of these factors was eliminated by using the prevalence residuals from a linear regression where theses factor were covariates. FA of these residuals yielded again only a single component comprising all 4 diseases which explained 71.5% of the variance, indicating that the combined contribution of population size, life expectancy and latitude accounted for 96.3% − 71.5% = 24.8% of the FA variance explained. The fact that the 3 country-specific factors above accounted for only 24.8% of the FA variance explained by the original (ranked) disease prevalences, in the presence still of a single grouping factor, strongly indicates the operation of other unknown factors jointly contributing to the pathogenesis of the 4 diseases. We discuss various possible factors involved, with an emphasis on biologic pathogens (viruses, bacteria) which have been implicated in the pathogenesis of these diseases in previous studies. |
format | Online Article Text |
id | pubmed-9364200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-93642002022-08-11 High Correlations Among Worldwide Prevalences of Dementias, Parkinson’s Disease, Multiple Sclerosis, and Motor Neuron Diseases Indicate Common Causative Factors James, Lisa M Georgopoulos, Apostolos P Neurosci Insights Original Research Dementia, Parkinson’s disease, multiple sclerosis, and motor neuron diseases cause significant disability and mortality worldwide. Although the etiology of these diseases is unknown, highly correlated disease prevalences would indicate the involvement of common etiologic factors. Here we used published epidemiological data in 195 countries worldwide to investigate the possible intercorrelations among the prevalences of these diseases. All analyses were carried out using nonparametric statistics on rank-transformed data to assure the robustness of the results. We found that all 6 pairwise correlations among the prevalences of the 4 diseases were very high (>.9, P < .001). A factor analysis (FA) yielded only a single component which comprised all 4 disease prevalences and explained 96.3% of the variance. These findings indicate common etiologic factor(s). Next, we quantified the contribution of 3 country-specific factors (population size, life expectancy, latitude) to the common grouping of prevalences by estimating the reduction in total FA variance explained when the effect of these factors was eliminated by using the prevalence residuals from a linear regression where theses factor were covariates. FA of these residuals yielded again only a single component comprising all 4 diseases which explained 71.5% of the variance, indicating that the combined contribution of population size, life expectancy and latitude accounted for 96.3% − 71.5% = 24.8% of the FA variance explained. The fact that the 3 country-specific factors above accounted for only 24.8% of the FA variance explained by the original (ranked) disease prevalences, in the presence still of a single grouping factor, strongly indicates the operation of other unknown factors jointly contributing to the pathogenesis of the 4 diseases. We discuss various possible factors involved, with an emphasis on biologic pathogens (viruses, bacteria) which have been implicated in the pathogenesis of these diseases in previous studies. SAGE Publications 2022-08-08 /pmc/articles/PMC9364200/ /pubmed/35965966 http://dx.doi.org/10.1177/26331055221117598 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research James, Lisa M Georgopoulos, Apostolos P High Correlations Among Worldwide Prevalences of Dementias, Parkinson’s Disease, Multiple Sclerosis, and Motor Neuron Diseases Indicate Common Causative Factors |
title | High Correlations Among Worldwide Prevalences of Dementias,
Parkinson’s Disease, Multiple Sclerosis, and Motor Neuron Diseases Indicate
Common Causative Factors |
title_full | High Correlations Among Worldwide Prevalences of Dementias,
Parkinson’s Disease, Multiple Sclerosis, and Motor Neuron Diseases Indicate
Common Causative Factors |
title_fullStr | High Correlations Among Worldwide Prevalences of Dementias,
Parkinson’s Disease, Multiple Sclerosis, and Motor Neuron Diseases Indicate
Common Causative Factors |
title_full_unstemmed | High Correlations Among Worldwide Prevalences of Dementias,
Parkinson’s Disease, Multiple Sclerosis, and Motor Neuron Diseases Indicate
Common Causative Factors |
title_short | High Correlations Among Worldwide Prevalences of Dementias,
Parkinson’s Disease, Multiple Sclerosis, and Motor Neuron Diseases Indicate
Common Causative Factors |
title_sort | high correlations among worldwide prevalences of dementias,
parkinson’s disease, multiple sclerosis, and motor neuron diseases indicate
common causative factors |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364200/ https://www.ncbi.nlm.nih.gov/pubmed/35965966 http://dx.doi.org/10.1177/26331055221117598 |
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