Bibliographic Details
| Title: |
Socioeconomic determinants of global distribution of multiple sclerosis: an ecological investigation based on Global Burden of Disease data |
| Authors: |
Vahid Kazemi Moghaddam, Aisha S. Dickerson, Edris Bazrafshan, Seyedeh Nahid Seyedhasani, Fereshteh Najafi, Mostafa Hadei, Jalil Momeni, Ghasem Moradi, Mohammad Sarmadi |
| Source: |
BMC Neurology, Vol 21, Iss 1, Pp 1-11 (2021) |
| Publisher Information: |
BMC, 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Neurology. Diseases of the nervous system |
| Subject Terms: |
Multiple sclerosis, Human development index, Prosperity index, Socioeconomic factors, Ecology study, Neurology. Diseases of the nervous system, RC346-429 |
| More Details: |
Abstract Background Socioeconomic factors may be involved in risk of multiple sclerosis (MS), either indirectly or as confounding factors. In this study two comprehensive indicators reflecting socioeconomic differences, including the Human Development Index (HDI) and Prosperity Index (PI), were used to assess the impact of these factors on the worldwide distribution of MS. Methods The data for this global ecological study were obtained from three comprehensive databases including the Global Burden of Disease (as the source of MS indices), United Nations Development Programme (source for HDI) and the Legatum Institute Database for PI. MS indices (including prevalence, incidence, mortality, and disability-adjusted life years) were all analyzed in the form of age- and sex-standardized. Correlation and regression analyses were used to investigate the relationship between HDI and PI and their subsets with MS indices. Results All MS indices were correlated with HDI and PI. It was also found that developed countries had significantly higher prevalence and incidence rates of MS than developing countries. Education and governance from the PI, and gross national income and expected years of schooling from the HDI were more associated with MS. Education was significantly related to MS indices (p |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1471-2377 |
| Relation: |
https://doaj.org/toc/1471-2377 |
| DOI: |
10.1186/s12883-021-02170-3 |
| Access URL: |
https://doaj.org/article/0c12fb3e2e9a4d0c8f7be1533762a20f |
| Accession Number: |
edsdoj.0c12fb3e2e9a4d0c8f7be1533762a20f |
| Database: |
Directory of Open Access Journals |
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