Socioeconomic determinants of global distribution of multiple sclerosis: an ecological investigation based on Global Burden of Disease data.

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 < 0.01) in both developed and developing countries. CONCLUSION: In general, the difference in income and the socioeconomic development globally have created a landscape for MS that should be studied in more detail in future studies.

National and sub-national trend and burden of injuries in Iran, 1990 - 2013: a study protocol.

BACKGROUND: Worldwide, injuries are a major public health concern and make a considerable contribution to the disease burden. The present study is a component of the National and Subnational Burden of Diseases, Injuries, and Risk Factors from 1990 to 2013 (NASBOD) study in Iran, which was designed to investigate the burden of most important injuries (road traffic injuries, falls, burns, poisonings and drownings) at the national and sub-national levels in Iran. In this paper we explain definitions, organization, injuries selection process, data sources, data gathering methods, and data analyses of the national and sub-national burden of injuries study in Iran. METHODS: The burden of most important injuries in current metric of DALYs at the national and sub-national levels in Iran over 1990-2013 will be estimated through comprehensive reviews of either published or national data sources. Statistical modeling will be used to impute the missing data on the burden of selected important injuries for each district-year. CONCLUSION: The results of present study can help health policy makers to plan more comprehensive and cost-effective strategies at national and sub-national level for prevention and control of burden caused by injuries.