Redox balance plays the key role in maintaining health. Optimizing glutathione levels has been proposed as a strategy for health promotion and disease prevention, although cause-effect relationships between glutathione status and disease risk or treatment have not been fully clarified. This study aims to estimate glutathione as a non-specific prognostic risk factor of health disorders in people exposed to industrial aerosols at their workplaces. Our observation covered the following occupational groups: workers employed at a metallurgic plant who contacted industrial aerosols (welding and silicon-containing aerosols with predominantly fibrogenic effects); patients with non-obstructive chronic industrial bronchitis (NCIB) without exacerbation; patients suffering from occupational chronic obstructive pulmonary disease (oCOPD) who were in a post-exposure period; workers who were not exposed to industrial aerosols at their workplaces. Total glutathione (TG), reduced glutathione (GSH) and oxidized glutathione (GSSG) were identified in whole blood by the Ellman method. Elevated GSSG levels (higher than 100 µmol/l) and low values of the GSH/GSSG ratio (less than 10 units) were identified in more than 50 % of the workers exposed to industrial aerosols. These markers were established to have diagnostic sensitivity of more than 50 %, diagnostic specificity of more than 85 % and prognostic significance of more than 80 % for the examined groups. The GSSG level and GSH/GSSG ratio can be used as a prognostic indicator of health disorders in workers exposed to industrial aerosols and a possibility of chronic bronchopulmonary pathology developing in future.
{"title":"Glutathione as a prognostic factor of health risk in working population","authors":"T.V. Blinova, L.A. Strakhova, V.V. Troshin, S.A. Kolesov, I.A. Umnyagina, J.V. Ivanova","doi":"10.21668/health.risk/2023.2.13.eng","DOIUrl":"https://doi.org/10.21668/health.risk/2023.2.13.eng","url":null,"abstract":"Redox balance plays the key role in maintaining health. Optimizing glutathione levels has been proposed as a strategy for health promotion and disease prevention, although cause-effect relationships between glutathione status and disease risk or treatment have not been fully clarified. This study aims to estimate glutathione as a non-specific prognostic risk factor of health disorders in people exposed to industrial aerosols at their workplaces. Our observation covered the following occupational groups: workers employed at a metallurgic plant who contacted industrial aerosols (welding and silicon-containing aerosols with predominantly fibrogenic effects); patients with non-obstructive chronic industrial bronchitis (NCIB) without exacerbation; patients suffering from occupational chronic obstructive pulmonary disease (oCOPD) who were in a post-exposure period; workers who were not exposed to industrial aerosols at their workplaces. Total glutathione (TG), reduced glutathione (GSH) and oxidized glutathione (GSSG) were identified in whole blood by the Ellman method. Elevated GSSG levels (higher than 100 µmol/l) and low values of the GSH/GSSG ratio (less than 10 units) were identified in more than 50 % of the workers exposed to industrial aerosols. These markers were established to have diagnostic sensitivity of more than 50 %, diagnostic specificity of more than 85 % and prognostic significance of more than 80 % for the examined groups. The GSSG level and GSH/GSSG ratio can be used as a prognostic indicator of health disorders in workers exposed to industrial aerosols and a possibility of chronic bronchopulmonary pathology developing in future.","PeriodicalId":12945,"journal":{"name":"Health Risk Analysis","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136281004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.21668/health.risk/2023.2.05
P. Shur, А.А. Khasanova, М.Yu. Tsinker, N. Zaitseva
The ongoing climate change makes its contribution to public health risks. These risks can be caused both due to direct impacts of the process and modifying influence exerted by climatic factors on chemical levels in ambient air. Given that, it is advisable to develop methodical approaches that give an opportunity to quantify public health risks under combined influence of climatic factors and chemical air pollution caused by them. In this study, we suggest methodical approaches eligible for calculating, assigning a category and assessing acceptability of public health risks under climatic exposures considering their influence on chemical air pollution. We outline approaches to establishing priority climatic factors, calculating exposure levels and associated responses; making up a list of chemicals levels of which are influenced by climatic factors and probable health outcomes caused by exposure to them; identifying levels of chemicals associated with climatic influence; calculating and assigning a category for public health risks associated with combined exposure to climatic and chemical factors using a multiple logistic regression model. We tested the approaches using data collected in Perm in 2020. As a result, we established an unacceptable health risk for working age population (1.11•10-4) due to cerebrovascular diseases (I60–I69). This risk was associated with combined exposure to climatic factors (heat waves) and associated chemical air pollution (high levels of carbon oxide). Risk levels for working age population and older age groups due to diseases of the circulatory system (ischaemic heart diseases (I20–I25) and other cardiac arrhythmias (I49)) were rated as permissible (acceptable), 7.68•10-5 and 4.07•10-5 accordingly. The contribution made by the analyzed climatic factor (heat waves) varied between 76.24 and 92.44 %; the analyzed chemical factor (carbon oxide), between 7.56 and 23.76 %.
{"title":"Methodical approaches to assessing public health risks under combined exposure to climatic factors and chemical air pollution caused by them","authors":"P. Shur, А.А. Khasanova, М.Yu. Tsinker, N. Zaitseva","doi":"10.21668/health.risk/2023.2.05","DOIUrl":"https://doi.org/10.21668/health.risk/2023.2.05","url":null,"abstract":"The ongoing climate change makes its contribution to public health risks. These risks can be caused both due to direct impacts of the process and modifying influence exerted by climatic factors on chemical levels in ambient air. Given that, it is advisable to develop methodical approaches that give an opportunity to quantify public health risks under combined influence of climatic factors and chemical air pollution caused by them. In this study, we suggest methodical approaches eligible for calculating, assigning a category and assessing acceptability of public health risks under climatic exposures considering their influence on chemical air pollution. We outline approaches to establishing priority climatic factors, calculating exposure levels and associated responses; making up a list of chemicals levels of which are influenced by climatic factors and probable health outcomes caused by exposure to them; identifying levels of chemicals associated with climatic influence; calculating and assigning a category for public health risks associated with combined exposure to climatic and chemical factors using a multiple logistic regression model. We tested the approaches using data collected in Perm in 2020. As a result, we established an unacceptable health risk for working age population (1.11•10-4) due to cerebrovascular diseases (I60–I69). This risk was associated with combined exposure to climatic factors (heat waves) and associated chemical air pollution (high levels of carbon oxide). Risk levels for working age population and older age groups due to diseases of the circulatory system (ischaemic heart diseases (I20–I25) and other cardiac arrhythmias (I49)) were rated as permissible (acceptable), 7.68•10-5 and 4.07•10-5 accordingly. The contribution made by the analyzed climatic factor (heat waves) varied between 76.24 and 92.44 %; the analyzed chemical factor (carbon oxide), between 7.56 and 23.76 %.","PeriodicalId":12945,"journal":{"name":"Health Risk Analysis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45919026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.21668/health.risk/2023.2.07.eng
I. Shtina, S. Valina, О. Ustinova, L.V. Zamotina, О. Maklakova
The contemporary educational process involves growing diversity and complexity of educational programs and intensity of educational loads. All this, in its turn, affects schoolchildren’s health. Diseases of the eye and adnexa occupy the leading place among pathologies that are caused by unfavorable educational conditions. Prevalence of such diseases grows steadily over the whole period of getting secondary education. The aim of this study was to examine peculiarities and assess risks of myopia in children attending comprehensive schools with different educational programs. Overall, we examined 804 children from the 1st to 11th grade. The test group was made of 312 children who attended comprehensive schools with profound studies of some subjects. The reference group included 492 children who attended ordinary comprehensive schools. Both groups were identical as regards sex and age (р = 0.203–0.479). The study involved handing out questionnaires; estimating whether the organization of the educational processes conformed to the sanitary legislation of the Russian Federation. The research data were analyzed by conventional statistical methods, ROC-analysis, and logistic modeling. We established several leading risk factors that caused myopia in students of comprehensive schools with profound studies of some subjects. They included 5.4–19.2 % higher educational loads; 1.4 times longer periods of PC use during classes; 1.5 times longer periods of work with digital technologies. The children from the test group tended to have myopia, including moderate and high one, 1.3–2.4 times more frequently; the disease occurred at a younger age; risks of the disease were typically higher in such schools (OR = 1.48–2.5). Causation of myopia by factors related to the educational process and digital initiation equaled R2 = 0.52–0.77. Use of ROC-curves identified cut-off points that showed how long it took myopia to develop under the specific educational conditions in comprehensive schools with profound studies of some subjects (the 5th grade) and in ordinary comprehensive schools (the 7th grade). ROC-analysis data indicate it is necessary to apply a differentiated approach to organizing preventive activities for children who attend comprehensive schools with different educational programs.
{"title":"Peculiarities and risks of myopia in children attending comprehensive schools with different educational programs","authors":"I. Shtina, S. Valina, О. Ustinova, L.V. Zamotina, О. Maklakova","doi":"10.21668/health.risk/2023.2.07.eng","DOIUrl":"https://doi.org/10.21668/health.risk/2023.2.07.eng","url":null,"abstract":"The contemporary educational process involves growing diversity and complexity of educational programs and intensity of educational loads. All this, in its turn, affects schoolchildren’s health. Diseases of the eye and adnexa occupy the leading place among pathologies that are caused by unfavorable educational conditions. Prevalence of such diseases grows steadily over the whole period of getting secondary education. The aim of this study was to examine peculiarities and assess risks of myopia in children attending comprehensive schools with different educational programs. Overall, we examined 804 children from the 1st to 11th grade. The test group was made of 312 children who attended comprehensive schools with profound studies of some subjects. The reference group included 492 children who attended ordinary comprehensive schools. Both groups were identical as regards sex and age (р = 0.203–0.479). The study involved handing out questionnaires; estimating whether the organization of the educational processes conformed to the sanitary legislation of the Russian Federation. The research data were analyzed by conventional statistical methods, ROC-analysis, and logistic modeling. We established several leading risk factors that caused myopia in students of comprehensive schools with profound studies of some subjects. They included 5.4–19.2 % higher educational loads; 1.4 times longer periods of PC use during classes; 1.5 times longer periods of work with digital technologies. The children from the test group tended to have myopia, including moderate and high one, 1.3–2.4 times more frequently; the disease occurred at a younger age; risks of the disease were typically higher in such schools (OR = 1.48–2.5). Causation of myopia by factors related to the educational process and digital initiation equaled R2 = 0.52–0.77. Use of ROC-curves identified cut-off points that showed how long it took myopia to develop under the specific educational conditions in comprehensive schools with profound studies of some subjects (the 5th grade) and in ordinary comprehensive schools (the 7th grade). ROC-analysis data indicate it is necessary to apply a differentiated approach to organizing preventive activities for children who attend comprehensive schools with different educational programs.","PeriodicalId":12945,"journal":{"name":"Health Risk Analysis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47174311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.21668/health.risk/2023.2.12.eng
N.A. Vorobyeva, A.I. Vorobyeva, A.S. Vorontsova
COVID-19 poses a significant hazard as regards decompensation of underlying chronic diseases, specific damage to the cardiovascular system, and a high risk of negative health outcomes such as thrombotic events. The coronavirus infection pathogenesis is rather complicated and has not been studied yet; this is largely due to peculiar features of the virus and the initial state of homeostasis in a patient. In this study, our aim was to analyze molecular-genetic markers of homeostasis in patients with the new coronavirus infection COVID-19 as a prognostic trigger of developing pro-thrombotic readiness. Hospitalized patients with COVID-19 were chosen as study objects. We performed molecular-genetic analysis of basic genes significant for homeostasis including several factors such as V (rs6025), II (rs1799963), I (rs1800790), VII (rs6046), XIII A1 (rs5985)), IGN A2 (rs1126643), IGN B3 (rs5918), and PAI-1 (rs1799889). The thrombinemia severity was identified by thrombin generation tests using the Ceveron®alpha automated coagulation analyzer with TGA-module. Allelic variants of PAI-1, prothrombin (FII), and fibrinogen (FI) determined high thrombinemia as per the thrombin kinetics test (endogenous thrombin potential (AUC), peak thrombin concentration (peak-thrombin), time necessary to reach thrombin peak (tPeak), levels of fibrinogen and D-dimer) in COVID-19 patients during the entire hospitalization. We established that elevated thrombin generation becoming apparent through elevated levels of endogenous thrombin potential (AUC) might be a prognostic indicator of the pro-thrombotic state in patients with genetic polymorphisms of PAI-I and fibrinogen. The study results indicate that pro-thrombotic readiness is determined genetically in case COVID-19 patients have allelic variants in PAI-I, prothrombin (factor II) and fibrinogen (factor I) genes.
{"title":"Predicting risks of prothrombotic readiness under COVID-19 using genetic testing","authors":"N.A. Vorobyeva, A.I. Vorobyeva, A.S. Vorontsova","doi":"10.21668/health.risk/2023.2.12.eng","DOIUrl":"https://doi.org/10.21668/health.risk/2023.2.12.eng","url":null,"abstract":"COVID-19 poses a significant hazard as regards decompensation of underlying chronic diseases, specific damage to the cardiovascular system, and a high risk of negative health outcomes such as thrombotic events. The coronavirus infection pathogenesis is rather complicated and has not been studied yet; this is largely due to peculiar features of the virus and the initial state of homeostasis in a patient. In this study, our aim was to analyze molecular-genetic markers of homeostasis in patients with the new coronavirus infection COVID-19 as a prognostic trigger of developing pro-thrombotic readiness. Hospitalized patients with COVID-19 were chosen as study objects. We performed molecular-genetic analysis of basic genes significant for homeostasis including several factors such as V (rs6025), II (rs1799963), I (rs1800790), VII (rs6046), XIII A1 (rs5985)), IGN A2 (rs1126643), IGN B3 (rs5918), and PAI-1 (rs1799889). The thrombinemia severity was identified by thrombin generation tests using the Ceveron®alpha automated coagulation analyzer with TGA-module. Allelic variants of PAI-1, prothrombin (FII), and fibrinogen (FI) determined high thrombinemia as per the thrombin kinetics test (endogenous thrombin potential (AUC), peak thrombin concentration (peak-thrombin), time necessary to reach thrombin peak (tPeak), levels of fibrinogen and D-dimer) in COVID-19 patients during the entire hospitalization. We established that elevated thrombin generation becoming apparent through elevated levels of endogenous thrombin potential (AUC) might be a prognostic indicator of the pro-thrombotic state in patients with genetic polymorphisms of PAI-I and fibrinogen. The study results indicate that pro-thrombotic readiness is determined genetically in case COVID-19 patients have allelic variants in PAI-I, prothrombin (factor II) and fibrinogen (factor I) genes.","PeriodicalId":12945,"journal":{"name":"Health Risk Analysis","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136280931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The whole complex of air protection activities has been planned in the RF with its aim to reduce levels of ambient air pollution. It is being implemented actively now and as a result the quality of the environment should improve for more than 7 million people. In this study, an algorithm has been suggested for assessing effectiveness of air protection activities. It includes six subsequent stages. The algorithm was tested at heat and power enterprises located in a region participating in the Clean Air Federal project. As a result, it was established that these enterprises were sources of potential public health risks; 70 % of them belonged to high risk categories. Until air protection activities are implemented, heat and power enterprises pollute ambient air in some areas in the city (up to 29.9 single maximum MPC; up to 6.9 average daily MPC; up to 19.0 average annual MPC), create unacceptable health risks (up to 25.8 HI for acute exposure, 22.7 HI for chronic exposure, CRT is up to 3.28∙10-4), and cause more than 87 thousand additional disease cases. Implementation of air protection activities at heat and power enterprises will reduce local levels of ambient air pollution but we still expect hygienic standards to be violated for 10 chemicals up to 3–22 MPC and high health risks are likely to persist (up to 6.5–25.5 HI for acute exposure, 11.9–22.4 HI for chronic exposure, CRT will be up to 3.28∙10-4). Effectiveness of the air protection activities planned at heat and power enterprises corresponds to the target levels of the gross pollutant emissions (reduction by 20.56 % by 2024) set within the Clean Air Federal project but it is estimated as ‘unacceptable’ as per the health harm indicator, which is additional disease cases associated with activities of these enterprises (< 20 %). It is necessary to implement additional air protection activities with respect to 12 pollutants (nitrogen dioxide, particulate matter, carbon (soot), carbon oxide, sulfur dioxide, dihydrosulfide, inorganic dust containing silicon dioxide in %: 70–20, dimethyl benzene, ethyl benzene, benzene, formaldehyde, and kerosene); to use the best available technologies with respect to the most hazardous chemicals; to monitor public health in areas with elevated health risks; to implement complex medical and preventive activities.
{"title":"Effectiveness of complex plans for air protection activities at heat and power enterprises as per risk mitigation and health harm indicators","authors":"N.V. Zaitseva, S.V. Kleyn, D.V. Goryaev, А.М. Andrishunas, S.Yu. Balashov, S.Yu. Zagorodnov","doi":"10.21668/health.risk/2023.2.04.eng","DOIUrl":"https://doi.org/10.21668/health.risk/2023.2.04.eng","url":null,"abstract":"The whole complex of air protection activities has been planned in the RF with its aim to reduce levels of ambient air pollution. It is being implemented actively now and as a result the quality of the environment should improve for more than 7 million people. In this study, an algorithm has been suggested for assessing effectiveness of air protection activities. It includes six subsequent stages. The algorithm was tested at heat and power enterprises located in a region participating in the Clean Air Federal project. As a result, it was established that these enterprises were sources of potential public health risks; 70 % of them belonged to high risk categories. Until air protection activities are implemented, heat and power enterprises pollute ambient air in some areas in the city (up to 29.9 single maximum MPC; up to 6.9 average daily MPC; up to 19.0 average annual MPC), create unacceptable health risks (up to 25.8 HI for acute exposure, 22.7 HI for chronic exposure, CRT is up to 3.28∙10-4), and cause more than 87 thousand additional disease cases. Implementation of air protection activities at heat and power enterprises will reduce local levels of ambient air pollution but we still expect hygienic standards to be violated for 10 chemicals up to 3–22 MPC and high health risks are likely to persist (up to 6.5–25.5 HI for acute exposure, 11.9–22.4 HI for chronic exposure, CRT will be up to 3.28∙10-4). Effectiveness of the air protection activities planned at heat and power enterprises corresponds to the target levels of the gross pollutant emissions (reduction by 20.56 % by 2024) set within the Clean Air Federal project but it is estimated as ‘unacceptable’ as per the health harm indicator, which is additional disease cases associated with activities of these enterprises (< 20 %). It is necessary to implement additional air protection activities with respect to 12 pollutants (nitrogen dioxide, particulate matter, carbon (soot), carbon oxide, sulfur dioxide, dihydrosulfide, inorganic dust containing silicon dioxide in %: 70–20, dimethyl benzene, ethyl benzene, benzene, formaldehyde, and kerosene); to use the best available technologies with respect to the most hazardous chemicals; to monitor public health in areas with elevated health risks; to implement complex medical and preventive activities.","PeriodicalId":12945,"journal":{"name":"Health Risk Analysis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136280934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The ongoing climate change makes its contribution to public health risks. These risks can be caused both due to direct impacts of the process and modifying influence exerted by climatic factors on chemical levels in ambient air. Given that, it is advisable to develop methodical approaches that give an opportunity to quantify public health risks under combined influence of climatic factors and chemical air pollution caused by them. In this study, we suggest methodical approaches eligible for calculating, assigning a category and assessing acceptability of public health risks under climatic exposures considering their influence on chemical air pollution. We outline approaches to establishing priority climatic factors, calculating exposure levels and associated responses; making up a list of chemicals levels of which are influenced by climatic factors and probable health outcomes caused by exposure to them; identifying levels of chemicals associated with climatic influence; calculating and assigning a category for public health risks associated with combined exposure to climatic and chemical factors using a multiple logistic regression model. We tested the approaches using data collected in Perm in 2020. As a result, we established an unacceptable health risk for working age population (1.11•10-4) due to cerebrovascular diseases (I60–I69). This risk was associated with combined exposure to climatic factors (heat waves) and associated chemical air pollution (high levels of carbon oxide). Risk levels for working age population and older age groups due to diseases of the circulatory system (ischaemic heart diseases (I20–I25) and other cardiac arrhythmias (I49)) were rated as permissible (acceptable), 7.68•10-5 and 4.07•10-5 accordingly. The contribution made by the analyzed climatic factor (heat waves) varied between 76.24 and 92.44 %; the analyzed chemical factor (carbon oxide), between 7.56 and 23.76 %.
{"title":"Methodical approaches to assessing public health risks under combined exposure to climatic factors and chemical air pollution caused by them","authors":"P.Z. Shur, А.А. Khasanova, M.Yu. Tsinker, N.V. Zaitseva","doi":"10.21668/health.risk/2023.2.05.eng","DOIUrl":"https://doi.org/10.21668/health.risk/2023.2.05.eng","url":null,"abstract":"The ongoing climate change makes its contribution to public health risks. These risks can be caused both due to direct impacts of the process and modifying influence exerted by climatic factors on chemical levels in ambient air. Given that, it is advisable to develop methodical approaches that give an opportunity to quantify public health risks under combined influence of climatic factors and chemical air pollution caused by them. In this study, we suggest methodical approaches eligible for calculating, assigning a category and assessing acceptability of public health risks under climatic exposures considering their influence on chemical air pollution. We outline approaches to establishing priority climatic factors, calculating exposure levels and associated responses; making up a list of chemicals levels of which are influenced by climatic factors and probable health outcomes caused by exposure to them; identifying levels of chemicals associated with climatic influence; calculating and assigning a category for public health risks associated with combined exposure to climatic and chemical factors using a multiple logistic regression model. We tested the approaches using data collected in Perm in 2020. As a result, we established an unacceptable health risk for working age population (1.11•10-4) due to cerebrovascular diseases (I60–I69). This risk was associated with combined exposure to climatic factors (heat waves) and associated chemical air pollution (high levels of carbon oxide). Risk levels for working age population and older age groups due to diseases of the circulatory system (ischaemic heart diseases (I20–I25) and other cardiac arrhythmias (I49)) were rated as permissible (acceptable), 7.68•10-5 and 4.07•10-5 accordingly. The contribution made by the analyzed climatic factor (heat waves) varied between 76.24 and 92.44 %; the analyzed chemical factor (carbon oxide), between 7.56 and 23.76 %.","PeriodicalId":12945,"journal":{"name":"Health Risk Analysis","volume":"346 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136281007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.21668/health.risk/2023.2.02
N. Lebedeva-Nesevria, S. S. Gordeeva
In this study, we have estimated alcohol consumption and alcohol-associated incidence in the RF regions in the ‘before crisis’ (2017–2019) and ‘crisis’ (2020–2022) periods. We identified types of the RF regions using hierarchical cluster analysis (Ward’s method) and relying on indirect indicators of alcohol consumption. As a result, we established considerable differences between the macro-regions (the Federal Districts) and RF regions as per alcohol consumption and severity of its outcomes. Poles in this differentiation are represented by ‘favorable’ regions in the Southern Russia where alcohol sales, alcohol-associated crime and incidence are low and ‘unfavorable’ regions located in the Far East and southern Siberia where alcohol-associated crime and incidence are high. We have shown in this study that retail alcohol sales cannot be considered a sufficient indicator to describe alcohol use in a given region. Thus, considerable volumes of alcohol sales involve severe socially significant outcomes in some regions (for example, the Khabarovsk region and Primorye) whereas such outcomes do not occur in other regions with similarly high alcohol sales (Moscow, Saint Petersburg, the Moscow region and the Leningrad region). The level of socioeconomic welfare on a given territory is confirmed as a significant determinant of alcohol consumption. We have also analyzed a correlation between economic vulnerability of RF regions during the ‘pandemic’ and ‘sanction’ crises and levels of alcohol consumption. The analysis revealed that large industrial regions, though expected to be vulnerable, turned out to be quite stable (it is probable due to delayed macroeconomic effects). We have not been able to identify any resources of improving a tense situation with alcohol consumption in economically unfavorable but less vulnerable subsidized agricultural regions. In general, the crisis period of 2020–2022 can be considered a source of additional health risks for the population in the RF regions where the situation with alcohol consumption was rather unfavorable in the ‘before crisis’ period.
{"title":"Alcohol consumption as health risk factor for the population in the RF regions in the ‘before crisis’ and ‘after crisis’ periods (2017–2022)","authors":"N. Lebedeva-Nesevria, S. S. Gordeeva","doi":"10.21668/health.risk/2023.2.02","DOIUrl":"https://doi.org/10.21668/health.risk/2023.2.02","url":null,"abstract":"In this study, we have estimated alcohol consumption and alcohol-associated incidence in the RF regions in the ‘before crisis’ (2017–2019) and ‘crisis’ (2020–2022) periods. We identified types of the RF regions using hierarchical cluster analysis (Ward’s method) and relying on indirect indicators of alcohol consumption. As a result, we established considerable differences between the macro-regions (the Federal Districts) and RF regions as per alcohol consumption and severity of its outcomes. Poles in this differentiation are represented by ‘favorable’ regions in the Southern Russia where alcohol sales, alcohol-associated crime and incidence are low and ‘unfavorable’ regions located in the Far East and southern Siberia where alcohol-associated crime and incidence are high. We have shown in this study that retail alcohol sales cannot be considered a sufficient indicator to describe alcohol use in a given region. Thus, considerable volumes of alcohol sales involve severe socially significant outcomes in some regions (for example, the Khabarovsk region and Primorye) whereas such outcomes do not occur in other regions with similarly high alcohol sales (Moscow, Saint Petersburg, the Moscow region and the Leningrad region). The level of socioeconomic welfare on a given territory is confirmed as a significant determinant of alcohol consumption. We have also analyzed a correlation between economic vulnerability of RF regions during the ‘pandemic’ and ‘sanction’ crises and levels of alcohol consumption. The analysis revealed that large industrial regions, though expected to be vulnerable, turned out to be quite stable (it is probable due to delayed macroeconomic effects). We have not been able to identify any resources of improving a tense situation with alcohol consumption in economically unfavorable but less vulnerable subsidized agricultural regions. In general, the crisis period of 2020–2022 can be considered a source of additional health risks for the population in the RF regions where the situation with alcohol consumption was rather unfavorable in the ‘before crisis’ period.","PeriodicalId":12945,"journal":{"name":"Health Risk Analysis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43506847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.21668/health.risk/2023.2.11.eng
Yuliya Shmatova, I. Razvarina, А.N. Gordievskaya
Children develop rapidly in the first year of life and this period should create a solid ground for their health in future. Diseases of the nervous system, mental and behavioral disorders occupy leading places among causes of childhood disability. Given that, the aim of this study was to search for parental risk factors endangering physical and neuropsychic development of infants. Infants living in Vologda region were selected as a research object. Our informational basis was represented by sample data of the prospective monitoring over children’s health (894 children from five different cohorts born in 1998, 2001, 2004, 2014 and 2020); statistical and sociological data on prevalence of risk factors in Russia and in the region. The information was provided by healthcare workers (obstetrician-gynecologist, neonatologist, and pediatrician) and children’s mothers. The applied methodology included inter- and intra-cohort sociological analysis; calculation of relative risk (RR) to assess a correlation between developmental delay and parental factors. Child development was assessed by a pediatrician using abnormal psychology and adaptation approaches. We analyzed Russian and foreign studies that focused on the same research subject. We calculated relative risks of various social-demographic, socioeconomic, biomedical and environmental factors for the development of children who participated in the cohort monitoring. This allowed us to identify those with prognostic value including young age of parents (RR = 1.40); a single-parent family (RR = 1.46), bad relationships between spouses (RR = 1.36); low purchasing ability of a family (RR = 1.59), poor living conditions (RR = 1.66); a future mother being exposed to chemicals and toxic substances (RR = 1.31), gas pollution (RR = 2.02), hand high temperatures (RR = 1.56) at her workplace one year prior to childbirth; a smoking mother (RR = 1.56); a father having a sexually transmitted disease (RR = 3.23); abnormal pregnancy. The identified risk factors for child development occur prior to childbirth and are manageable. Awareness about them makes it possible to neutralize their negative influence when a pregnancy is being planned. Our analysis of statistical and sociological data has revealed a descending trend for prevalence of practically all the analyzed risk factors. Still, some factors cause certain concern including high prevalence of smoking among women, future mothers included; prevalence of anemia in pregnant women; unresolved financial issues and poor living conditions of a considerable share of families who are expecting a child; effects produced on women by harmful working conditions. The results of this study can be used for developing programs aimed at protecting child’s health at any level, from an individual to the national one.
{"title":"Inter-cohort analysis of parental risk factors for development of infants","authors":"Yuliya Shmatova, I. Razvarina, А.N. Gordievskaya","doi":"10.21668/health.risk/2023.2.11.eng","DOIUrl":"https://doi.org/10.21668/health.risk/2023.2.11.eng","url":null,"abstract":"Children develop rapidly in the first year of life and this period should create a solid ground for their health in future. Diseases of the nervous system, mental and behavioral disorders occupy leading places among causes of childhood disability. Given that, the aim of this study was to search for parental risk factors endangering physical and neuropsychic development of infants. Infants living in Vologda region were selected as a research object. Our informational basis was represented by sample data of the prospective monitoring over children’s health (894 children from five different cohorts born in 1998, 2001, 2004, 2014 and 2020); statistical and sociological data on prevalence of risk factors in Russia and in the region. The information was provided by healthcare workers (obstetrician-gynecologist, neonatologist, and pediatrician) and children’s mothers. The applied methodology included inter- and intra-cohort sociological analysis; calculation of relative risk (RR) to assess a correlation between developmental delay and parental factors. Child development was assessed by a pediatrician using abnormal psychology and adaptation approaches. We analyzed Russian and foreign studies that focused on the same research subject. We calculated relative risks of various social-demographic, socioeconomic, biomedical and environmental factors for the development of children who participated in the cohort monitoring. This allowed us to identify those with prognostic value including young age of parents (RR = 1.40); a single-parent family (RR = 1.46), bad relationships between spouses (RR = 1.36); low purchasing ability of a family (RR = 1.59), poor living conditions (RR = 1.66); a future mother being exposed to chemicals and toxic substances (RR = 1.31), gas pollution (RR = 2.02), hand high temperatures (RR = 1.56) at her workplace one year prior to childbirth; a smoking mother (RR = 1.56); a father having a sexually transmitted disease (RR = 3.23); abnormal pregnancy. The identified risk factors for child development occur prior to childbirth and are manageable. Awareness about them makes it possible to neutralize their negative influence when a pregnancy is being planned. Our analysis of statistical and sociological data has revealed a descending trend for prevalence of practically all the analyzed risk factors. Still, some factors cause certain concern including high prevalence of smoking among women, future mothers included; prevalence of anemia in pregnant women; unresolved financial issues and poor living conditions of a considerable share of families who are expecting a child; effects produced on women by harmful working conditions. The results of this study can be used for developing programs aimed at protecting child’s health at any level, from an individual to the national one.","PeriodicalId":12945,"journal":{"name":"Health Risk Analysis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49321395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.21668/health.risk/2023.2.01.eng
N. Zaitseva, S. Kleyn, M. Glukhikh
The coronavirus pandemic has produced considerable effects on medical and demographic processes worldwide and in Russia in particular. The epidemic process involved a sequence of circulating SARS-CoV-2 virus strains with different mutations and this reflected in registered levels of incidence and mortality against spatial heterogeneity of socioeconomic factors in different RF regions. The aim of this study was to analyze spatial-dynamic heterogeneity of the COVID-19 epidemic process in the RF regions in 2020–2023. We performed retrospective analysis of incidence and mortality at the national and regional levels. The analysis relied on departmental statistical data provided by Rospotrebnadzor as well as public data that described the intensive indicators of the COVID-19 epidemic process and results obtained by sequencing of biomaterial samples to identify COVID-19 in them in 2020–2023. In 2020–2023 we identified five ‘waves’ of the COVID-19 epidemic processes that interchanged sequentially. Within these waves, RF regions reached local peaks in incidence with different speed. According to available data, the highest primary incidence among all the RF regions in 2021–2022 was established in Saint Petersburg (12,821.8 cases and 17,341.2 cases per 100 thousand people); the highest mortality in 2021 was detected in the Tver region (427 cases per 100 thousand people) and in the Arkhangelsk region in 2022 (350.9 cases per 100 thousand people).The greatest number of the RF regions where the incidence due to the disease was higher than its average annual level was established in October, November, December 2021 and February 2022 (51, 68, 51 and 82 RF regions accordingly). The established spatial-dynamic heterogeneity of the epidemic process may indicate that this process can be largely determined by differences in the initial socioeconomic, medical and demographic characteristics of the RF religions. Limitations of the study are related to the used statistical data on registered incidence and mortality as well as the concept of the epidemiological ‘wave’ accepted in it. The identified territorial differences in the COVID-19 epidemic process should be considered when developing optimal regulatory impacts including those aimed at predicting probable emergent infections.
{"title":"Spatial-dynamic heterogeneity of the COVID-19 epidemic process in the Russian Federation regions (2020–2023)","authors":"N. Zaitseva, S. Kleyn, M. Glukhikh","doi":"10.21668/health.risk/2023.2.01.eng","DOIUrl":"https://doi.org/10.21668/health.risk/2023.2.01.eng","url":null,"abstract":"The coronavirus pandemic has produced considerable effects on medical and demographic processes worldwide and in Russia in particular. The epidemic process involved a sequence of circulating SARS-CoV-2 virus strains with different mutations and this reflected in registered levels of incidence and mortality against spatial heterogeneity of socioeconomic factors in different RF regions. The aim of this study was to analyze spatial-dynamic heterogeneity of the COVID-19 epidemic process in the RF regions in 2020–2023. We performed retrospective analysis of incidence and mortality at the national and regional levels. The analysis relied on departmental statistical data provided by Rospotrebnadzor as well as public data that described the intensive indicators of the COVID-19 epidemic process and results obtained by sequencing of biomaterial samples to identify COVID-19 in them in 2020–2023. In 2020–2023 we identified five ‘waves’ of the COVID-19 epidemic processes that interchanged sequentially. Within these waves, RF regions reached local peaks in incidence with different speed. According to available data, the highest primary incidence among all the RF regions in 2021–2022 was established in Saint Petersburg (12,821.8 cases and 17,341.2 cases per 100 thousand people); the highest mortality in 2021 was detected in the Tver region (427 cases per 100 thousand people) and in the Arkhangelsk region in 2022 (350.9 cases per 100 thousand people).The greatest number of the RF regions where the incidence due to the disease was higher than its average annual level was established in October, November, December 2021 and February 2022 (51, 68, 51 and 82 RF regions accordingly). The established spatial-dynamic heterogeneity of the epidemic process may indicate that this process can be largely determined by differences in the initial socioeconomic, medical and demographic characteristics of the RF religions. Limitations of the study are related to the used statistical data on registered incidence and mortality as well as the concept of the epidemiological ‘wave’ accepted in it. The identified territorial differences in the COVID-19 epidemic process should be considered when developing optimal regulatory impacts including those aimed at predicting probable emergent infections.","PeriodicalId":12945,"journal":{"name":"Health Risk Analysis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47241846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.21668/health.risk/2023.2.13
T. Blinova, L. Strakhova, V. Troshin, S. Kolesov, I. Umnyagina, J. Ivanova
Redox balance plays the key role in maintaining health. Optimizing glutathione levels has been proposed as a strategy for health promotion and disease prevention, although cause-effect relationships between glutathione status and disease risk or treatment have not been fully clarified. This study aims to estimate glutathione as a non-specific prognostic risk factor of health disorders in people exposed to industrial aerosols at their workplaces. Our observation covered the following occupational groups: workers employed at a metallurgic plant who contacted industrial aerosols (welding and silicon-containing aerosols with predominantly fibrogenic effects); patients with non-obstructive chronic industrial bronchitis (NCIB) without exacerbation; patients suffering from occupational chronic obstructive pulmonary disease (oCOPD) who were in a post-exposure period; workers who were not exposed to industrial aerosols at their workplaces. Total glutathione (TG), reduced glutathione (GSH) and oxidized glutathione (GSSG) were identified in whole blood by the Ellman method. Elevated GSSG levels (higher than 100 µmol/l) and low values of the GSH/GSSG ratio (less than 10 units) were identified in more than 50 % of the workers exposed to industrial aerosols. These markers were established to have diagnostic sensitivity of more than 50 %, diagnostic specificity of more than 85 % and prognostic significance of more than 80 % for the examined groups. The GSSG level and GSH/GSSG ratio can be used as a prognostic indicator of health disorders in workers exposed to industrial aerosols and a possibility of chronic bronchopulmonary pathology developing in future.
{"title":"Glutathione as a prognostic factor of health risk in working population","authors":"T. Blinova, L. Strakhova, V. Troshin, S. Kolesov, I. Umnyagina, J. Ivanova","doi":"10.21668/health.risk/2023.2.13","DOIUrl":"https://doi.org/10.21668/health.risk/2023.2.13","url":null,"abstract":"Redox balance plays the key role in maintaining health. Optimizing glutathione levels has been proposed as a strategy for health promotion and disease prevention, although cause-effect relationships between glutathione status and disease risk or treatment have not been fully clarified. This study aims to estimate glutathione as a non-specific prognostic risk factor of health disorders in people exposed to industrial aerosols at their workplaces. Our observation covered the following occupational groups: workers employed at a metallurgic plant who contacted industrial aerosols (welding and silicon-containing aerosols with predominantly fibrogenic effects); patients with non-obstructive chronic industrial bronchitis (NCIB) without exacerbation; patients suffering from occupational chronic obstructive pulmonary disease (oCOPD) who were in a post-exposure period; workers who were not exposed to industrial aerosols at their workplaces. Total glutathione (TG), reduced glutathione (GSH) and oxidized glutathione (GSSG) were identified in whole blood by the Ellman method. Elevated GSSG levels (higher than 100 µmol/l) and low values of the GSH/GSSG ratio (less than 10 units) were identified in more than 50 % of the workers exposed to industrial aerosols. These markers were established to have diagnostic sensitivity of more than 50 %, diagnostic specificity of more than 85 % and prognostic significance of more than 80 % for the examined groups. The GSSG level and GSH/GSSG ratio can be used as a prognostic indicator of health disorders in workers exposed to industrial aerosols and a possibility of chronic bronchopulmonary pathology developing in future.","PeriodicalId":12945,"journal":{"name":"Health Risk Analysis","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46860166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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