The last 35 years have been characterized, worldwide, for lack of economic growth and increasing inequality in income distribution and its concentration. This has resulted in increased poverty and falling purchasing p...The last 35 years have been characterized, worldwide, for lack of economic growth and increasing inequality in income distribution and its concentration. This has resulted in increased poverty and falling purchasing power of the middle classes, which has become the most serious problem with which we enter the twenty-first century. Mexico has been no exception. This article covers the first part of the research I’m doing in the 9th. Researchers call for 2015-2016 of the De La Salle University Bajio in Leon, Mexico. In the second part I will discuss inequality in income deciles in which is statistically divided our population and the way in which the concentration of income in fewer hands is affecting the market performance. This research has required having historical series covering the last 57 years of economic and population growth in Mexico. Measure the evolution of gross domestic product (GDP) from the beginning of the presidential terms from 1959 to 2015. It has been problematic since in Mexico there are not series covering the entire period. I had to go to the World Bank data (WB) which provides them from 1960. We found discrepancies in GDP series between those of WB, International Monetary Fund (IMF), United Nations Organization (UNO) and the National Institute of Geography and Statistics (INEGI) from Mexico. The second difficulty appeared in the series of the population of our country. There are also discrepancies between census data and estimates of the same INEGI. Moreover, the series of WB and Penn World Table (PWT) also show differences between them. Converting the results of real GDP per capita to dollars had no difficulty due to information from the Mexican Central Bank (BM). The conversionto interccnational dollars as estimated by the purchasing power parity (PPP) was obtained from PWT 8.1.展开更多
BACKGROUND The global epidemiology of type 1 diabetes(T1D)is not yet well known,as no precise data are available from many countries.T1D is,however,characterized by an important variation in incidences among countries...BACKGROUND The global epidemiology of type 1 diabetes(T1D)is not yet well known,as no precise data are available from many countries.T1D is,however,characterized by an important variation in incidences among countries and a dramatic increase of these incidences during the last decades,predominantly in younger children.In the United States and Europe,the increase has been associated with the gross domestic product(GDP)per capita.In our previous systematic review,geographical variation of incidence was correlated with socio-economic factors.AIM To investigate variation in the incidence of T1D in age categories and search to what extent these variations correlated with the GDP per capita.METHODS A systematic review was performed to retrieve information about the global incidence of T1D among those younger than 14 years of age.The study was carried out according to the PRISMA recommendations.For the analysis,the incidence was organized in the periods:1975-1999 and 2000-2017.We searched the incidence of T1D in the age-groups 0-4,5-9 and 10-14.We compared the incidences in countries for which information was available for the two periods.We obtained the GDP from the World Bank.We analysed the relationship between the incidence of T1D with the GDP in countries reporting data at the national level.RESULTS We retrieved information for 84 out of 194 countries around the world.We found a wide geographic variation in the incidence of T1D and a worldwide increase during the two periods.The largest contribution to this increase was observed in the youngest group of children with T1D,with a relative increase of almost double when comparing the two periods(P value=2.5×e-5).Twenty-six countries had information on the incidence of T1D at the national level for the two periods.There was a positive correlation between GDP and the incidence of T1D in both periods(Spearman correlation=0.52 from 1975-1999 and Spearman correlation=0.53 from 2000-2017).CONCLUSION The incidence increase was higher in the youngest group(0-4 years of age),and the highest incidences of T1D were found in wealthier countries.展开更多
文摘The last 35 years have been characterized, worldwide, for lack of economic growth and increasing inequality in income distribution and its concentration. This has resulted in increased poverty and falling purchasing power of the middle classes, which has become the most serious problem with which we enter the twenty-first century. Mexico has been no exception. This article covers the first part of the research I’m doing in the 9th. Researchers call for 2015-2016 of the De La Salle University Bajio in Leon, Mexico. In the second part I will discuss inequality in income deciles in which is statistically divided our population and the way in which the concentration of income in fewer hands is affecting the market performance. This research has required having historical series covering the last 57 years of economic and population growth in Mexico. Measure the evolution of gross domestic product (GDP) from the beginning of the presidential terms from 1959 to 2015. It has been problematic since in Mexico there are not series covering the entire period. I had to go to the World Bank data (WB) which provides them from 1960. We found discrepancies in GDP series between those of WB, International Monetary Fund (IMF), United Nations Organization (UNO) and the National Institute of Geography and Statistics (INEGI) from Mexico. The second difficulty appeared in the series of the population of our country. There are also discrepancies between census data and estimates of the same INEGI. Moreover, the series of WB and Penn World Table (PWT) also show differences between them. Converting the results of real GDP per capita to dollars had no difficulty due to information from the Mexican Central Bank (BM). The conversionto interccnational dollars as estimated by the purchasing power parity (PPP) was obtained from PWT 8.1.
基金Supported by doctoral scholarship (Natalia Gomez-Lopera) from Colciencias,No.727
文摘BACKGROUND The global epidemiology of type 1 diabetes(T1D)is not yet well known,as no precise data are available from many countries.T1D is,however,characterized by an important variation in incidences among countries and a dramatic increase of these incidences during the last decades,predominantly in younger children.In the United States and Europe,the increase has been associated with the gross domestic product(GDP)per capita.In our previous systematic review,geographical variation of incidence was correlated with socio-economic factors.AIM To investigate variation in the incidence of T1D in age categories and search to what extent these variations correlated with the GDP per capita.METHODS A systematic review was performed to retrieve information about the global incidence of T1D among those younger than 14 years of age.The study was carried out according to the PRISMA recommendations.For the analysis,the incidence was organized in the periods:1975-1999 and 2000-2017.We searched the incidence of T1D in the age-groups 0-4,5-9 and 10-14.We compared the incidences in countries for which information was available for the two periods.We obtained the GDP from the World Bank.We analysed the relationship between the incidence of T1D with the GDP in countries reporting data at the national level.RESULTS We retrieved information for 84 out of 194 countries around the world.We found a wide geographic variation in the incidence of T1D and a worldwide increase during the two periods.The largest contribution to this increase was observed in the youngest group of children with T1D,with a relative increase of almost double when comparing the two periods(P value=2.5×e-5).Twenty-six countries had information on the incidence of T1D at the national level for the two periods.There was a positive correlation between GDP and the incidence of T1D in both periods(Spearman correlation=0.52 from 1975-1999 and Spearman correlation=0.53 from 2000-2017).CONCLUSION The incidence increase was higher in the youngest group(0-4 years of age),and the highest incidences of T1D were found in wealthier countries.
