scholarly journals Correlation between total air pollutant emissions and incidence of type 1 diabetes in the Russian Federation

2021 ◽  
Author(s):  
Hoon Sung Cho ◽  
Jin Taek Kim ◽  
Ji-Young Seo ◽  
Faina Linkov ◽  
Evgeniy Shubnikov ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Russian Federation ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
The Russian Federation

scholarly journals Gaseous Pollutants and Particulate Matter (PM) in Ambient Air and the Number of New Cases of Type 1 Diabetes in Children and Adolescents in the Pomeranian Voivodeship, Poland

2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Małgorzata Michalska ◽  
Katarzyna Zorena ◽  
Piotr Wąż ◽  
Maria Bartoszewicz ◽  
Agnieszka Brandt-Varma ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Particulate Matter ◽  
New Technologies ◽  
Renewable Energy Sources ◽  
Ambient Air ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Gaseous Pollutants ◽  
High Exposure

The increase in type 1 diabetes mellitus (T1DM) incidence in children is worrying and not yet fully explored. It is suggested that probably air pollution exposure could contribute to the development of T1DM. The aim of the study was to investigate the relationship between the concentration of gaseous pollutants including, nitrogen dioxide (NO2), nitric oxides (NOx), sulphur dioxide (SO2), carbon monoxide (CO), and particulate matter (PM) in the air, and the number of new cases of T1DM in children. The number of new cases of T1DM was obtained from the Clinic of Paediatrics, Diabetology, and Endocrinology, Medical University of Gdańsk. The number of children of 0–18 years old in Pomeranian Voivodeship was acquired from the Statistical Yearbook. The concentrations of PM10 absorbance, NO2, NOx, SO2, and CO were measured at 41 measuring posts, between 1 January 2015 and 31 December 2016. It was detected that the average annual concentration of PM10 was higher than the value acceptable to the WHO. Furthermore, the average 24-hour concentration of PM10 was 92 μg/m3 and was higher compared to the acceptable value of 50 μg/m3 (acc. to EU and WHO). Moreover, the number of new cases of T1DM showed a correlation with the annual average concentration of PM10 (β = 2.396, p<0.001), SO2 (β = 2.294, p<0.001), and CO (β = 2.452, p<0.001). High exposure to gaseous pollutants and particulate matter in ambient air may be one of the factors contributing to the risk of developing T1DM in children. Therefore, it is important to take action to decrease air pollutant emissions in Poland. It is crucial to gradually but consistently eliminate the use of solid fuels, such as coal and wood in households, in favour of natural gas and electricity. The development of new technologies to improve air quality, such as “best available techniques” (BAT) or renewable energy sources (water, wind, and solar generation) is of critical importance as well.

scholarly journals O возможном влиянии факторов урбанизации на распространенность сахарного диабета первого типа на территории РФ

2020 ◽  
Vol 90 (9) ◽  
pp. 1510
Author(s):  
Л.А. Сопрун ◽  
С.Г. Ястребов
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Russian Federation ◽  
Correlation Coefficients ◽  
The Russian Federation ◽  
Impact Of Urbanization ◽  
Main Components ◽  
The Impact

Using the method of selecting the main components associated with the correlation coefficients of the Pearson matrix, a possible relationship between the incidence of type 1 diabetes mellitus and various factors of urbanization in the Russian Federation has been identified. A hypothetical physical model of the impact of urbanization factors on incidence has been created. The problem of revealing the hidden causes of the incidence of type 1 diabetes mellitus in various regions of the Russian Federation and the contribution of factors of urbanization to the incidence is solved. The analysis uses a variety of statistical data on such factors of urbanization as the automobile road complex, emissions to surface wastewater and to the atmosphere.

Dimorphism -23HphI in the INS gene (rs689): the association with type 1 diabetes mellitus in the populations of the Russian Federation, the inter-population comparison of the frequencies

2014 ◽  
Vol 60 (6) ◽  
pp. 4-9
Author(s):  
O N Ivanova ◽  
S M Stepanova ◽  
N B Smirnova ◽  
Ya S Zvereva ◽  
Yu I Suntsov ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Russian Federation ◽  
Morbidity Rate ◽  
Genetic Associations ◽  
The Russian Federation ◽  
Microsoft Office ◽  
Degree Of Association

Objective. The objective of the present study was to elucidate the association between dimorfism -23HphI in the INS gene (rs689) and type 1 diabetes mellitus in several populations of the Russian Federation and to compare the frequency of alleles of this dimorphism in different populations. Material and methods. The case-control association was investigated in five populations of the Russian Federation, viz. Russian, Bashkir, Udmurtian, Yakutian, and Buryat ones. The DNA samples from 528 patients presenting with type 1 diabetes mellitus and 439 control subjects were available for the investigation, Polymorphism typing was performed using the RFLP-PCR technique. The degree of association of the trait of interest with the disease was estimated based on the odd ratio (OR) values. The calculations were made with the use of Statistica software package, version 6, www.statsoff.com and Microsoft Office Excel-2003. Results. The statistically significant association of type 1 diabetes mellitus with T allele and AA rs689 genotype was documented for the Russian, Bashkir, Udmurtian, and Yakutian populations. The protective marker in these populations were T allele and T+ genotype. A similar association was not found for the Buryat population characterized by the lowest diabetes morbidity rate. This population was significantly different from the remaining ones in the high frequency of A allele (87% vs 69-75%; p є [0.0002-0.004]) and AA genotype (77% vs 45-60%; p є [0.00006-0.01]). Conclusion. This study has demonstrated the inter-population differences in the frequency of rs689 alleles and the population-specific differences in the association of rs689 alleles with type 1 diabetes mellitus. It is concluded that the consideration of population-related peculiarities of clinical and genetic associations is an indispensable precondition for the further development of personalized medicine.

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