scholarly journals Climate Characteristics as Potential Risk Factors for the Population Health of the Krasnoyarsk Region. Part 1

2021 ◽  
pp. 54-62
Author(s):  
DA Chernykh ◽  
EN Bel’skaya ◽  
OV Taseiko
Keyword(s):  
Risk Factors ◽  
Health Risk ◽  
Local Population ◽  
Ambient Air ◽  
Seasonal Temperature ◽  
Health Risk Factors ◽  
Potential Health ◽  
Potential Health Risk ◽  
Krasnoyarsk Region ◽  
Average Maximum

Summary. Introduction: A human health risk assessment is the process to estimate the nature and probability of adverse health effects in humans who may be exposed to various environmental factors. The purpose of the study was to analyze climatic parameters as potential health risk factors for the population of some municipalities of the Krasnoyarsk Region. Methods: We processed meteorological data of the state monitoring network in the Krasnoyarsk Region including the average, maximum, and minimum air temperatures measured every three hours in an automatic mode in accordance with a generally accepted international protocol. Climate characteristics were identified using the method of long-term distribution of average daily temperatures. To assess the climatic features of the Krasnoyarsk Region, we considered such parameters as the average seasonal temperature, dates of air temperature stable transition through zero, temperature waves, extreme daily temperature changes, and bioclimatic indices. Results: We analyzed climate characteristics as potential health risk factors for the population of six cities of the Krasnoyarsk Region (Achinsk, Kansk, Krasnoyarsk, Lesosibirsk, Minusinsk, and Norilsk) for the period from 1919 to 2019. Conclusion: Our findings may be used to establish the relationship between a combination of climatic factors and ambient air quality indices and morbidity and mortality of the local population; they can also contribute to predicting death rates in the region.

Heavy metal contaminated soil, water, and vegetables in northeastern Iran: potential health risk factors

2021 ◽  
Author(s):  
Vahid Kazemi Moghaddam ◽  
Parvaneh Latifi ◽  
Reza Darrudi ◽  
Sahar Ghaleh Askari ◽  
Ali Akbar Mohammadi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heavy Metal ◽  
Health Risk ◽  
Soil Water ◽  
Contaminated Soil ◽  
Health Risk Factors ◽  
Potential Health ◽  
Potential Health Risk

scholarly journals Uncompleted polymerization and cytotoxicity of dental restorative materials as potential health risk factors

2017 ◽  
Vol 24 (4) ◽  
pp. 618-623 ◽  
Author(s):  
Konrad Małkiewicz ◽  
Piotr Wychowański ◽  
Joanna Olkowska-Truchanowicz ◽  
Marzena Tykarska ◽  
Michał Czerwiński ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Risk ◽  
Health Risk Factors ◽  
Potential Health ◽  
Potential Health Risk ◽  
Dental Restorative Materials ◽  
Restorative Materials ◽  
Dental Restorative

scholarly journals Fuel and energy enterprises as objects of risk-oriented sanitary-epidemiologic surveillance

2021 ◽  
pp. 65-73
Author(s):  
А.М. Andrishunas ◽  
◽  
S.V. Kleyn ◽  
Keyword(s):  
Health Risk ◽  
Air Conditioning ◽  
Electric Energy ◽  
Federal District ◽  
Ambient Air ◽  
Power Engineering ◽  
Potential Health ◽  
Potential Health Risk ◽  
Economic Entity ◽  
Risk Categories

The present research aims to provide analytical support for the risk-oriented model of sanitary-epidemiologic control over fuel and energy enterprises. The research task were to reveal the most common violations of sanitary-epidemiologic requirements by fuel and energy enterprises; to determine priority environmental indicators that should be included into a program of laboratory support for control and surveillance activities; to estimate actual impacts exerted by fuel and energy enterprises. We established that in 2020 there were totally more than 6 thousand economic entities that performed their activity in the sphere of “Electric energy, gas and steam supply; air conditioning”. Since fuel and energy enterprises tend to be located close to residential areas, violations in the sphere of ambient air protection (Clause 20) involve negative influence on a considerable number of people. In 2020 the greatest number of revealed violation regarding requirements to ambient air quality was registered for heat and power engineering enterprises in the Far East Federal District (FEFD), Siberian FD (SFD), Central FD (CFD), and Ural FD (UFD) and varied from 10.6 to 42.9 %. Average potential health risk (Rlav) per one economic entity amounted to 5.44∙10-4 for heat and power engineering. A share of economic entities dealing with this economic activity and assigned into extremely high and high (the 1st and 2nd accordingly) risk categories as per potential health risk amounts to 21.7 %. A scale of exposure (Mli) for economic entities operating in heat and power engineering can reach 930 thousand people. The greatest share of economic entities belonging to the 1st and 2nd risk categories as per potential health risk is registered in the SFD, Volga FD, CFD, UFD, and FEFD and amounts to 78.5 %. The greatest average potential health risk per one economic entity (Rlav) in the sphere of “Electric energy, gas and steam supply; air conditioning” was registered in the Siberian Federal District and amounted to 9.88∙10-4. The greatest numbers of economic entities operating in the sphere of “Electric energy, gas and steam supply; air conditioning” that belonged to the 1st and 2nd risk categories as per potential health risk are located in the Krasnoyarsk region (37.9 %), Kemerovo region (32.6 %), Tomsk and Omsk regions (29.7 % each).

scholarly journals Which Risk Factors Matter More for Psychological Distress during the COVID-19 Pandemic? An Application Approach of Gradient Boosting Decision Trees

2021 ◽  
Vol 18 (11) ◽  
pp. 5879
Author(s):  
Yiyi Chen ◽  
Ye Liu
Keyword(s):  
Risk Factors ◽  
Psychological Distress ◽  
Air Quality ◽  
Health Risk ◽  
Perceived Risk ◽  
Ambient Air ◽  
Gradient Boosting ◽  
Health Risk Factors ◽  
Objective Risk ◽  
Direct Distance

Background: A growing body of scientific literature indicates that risk factors for COVID-19 contribute to a high level of psychological distress. However, there is no consensus on which factors contribute more to predicting psychological health. Objectives: The present study quantifies the importance of related risk factors on the level of psychological distress and further explores the threshold effect of each rick factor on the level of psychological distress. Both subjective and objective measures of risk factors are considered in the model. Methods: We sampled 937 individual items of data obtained from an online questionnaire between 20 January and 13 February 2020 in China. Objective risk factors were measured in terms of direct distance from respondents’ housing to the nearest COVID-19 hospital, direct distance from respondents’ housing to the nearest park, and the air quality index (AQI). Perceived risk factors were measured in regard to perceived distance to the nearest COVID-19 hospital, perceived air quality, and perceived environmental quality. Psychological distress was measured with the Kessler psychological distress scale K6 score. The following health risk factors and sociodemographic factors were considered: self-rated health level, physical health status, physical activity, current smoker or drinker, age, gender, marital status, educational attainment level, residence location, and household income level. A gradient boosting decision tree (GBDT) was used to analyse the data. Results: Health risk factors were the greatest contributors to predicting the level of psychological distress, with a relative importance of 42.32% among all influential factors. Objective risk factors had a stronger predictive power than perceived risk factors (23.49% vs. 16.26%). Furthermore, it was found that there was a dramatic rise in the moderate level of psychological distress regarding the threshold of AQI between 40 and 50, and 110 and 130, respectively. Gender-sensitive analysis revealed that women and men responded differently to psychological distress based on different risk factors. Conclusion: We found evidence that perceived indoor air quality played a more important role in predicting psychological distress compared to ambient air pollution during the COVID-19 pandemic.

A Study of the Effects of Exercise on Stress, Depression Levels, and Health Risk Factors

2000 ◽  
Author(s):  
Paul A. Thomas ◽  
Jen Hanley ◽  
Christy Tomczak ◽  
Jennifer Wuchteil ◽  
Nathan Underwood ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Risk ◽  
Health Risk Factors
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