Objectives: Multiple sclerosis (MS) is a complicated disease which occurs due to relationship between genes and environmental factors that causes tissue damage by autoimmune mechanisms.We investigated and illustrated the hypotheses correlated to the evidence of several putative environmental risk factors for MS onset and progression in this part of Iran.
Materials And Methods: Univariate logistic regression was used to detect the effects of environmental factors on the risk of MS. Data were analyzed using SPSS version 16.
Results: The childhood history of patients with rubella, measles and chickenpox increased the risk of MS significantly. Moreover, low consumption of dairy products, avoidance of seafood consumption, cigarette smoking and exposure to tobacco smoke, stress, anxiety disorders, depress and disturbing thoughts, negative and disturbing thoughts, developing a sudden shock upon hearing bad news, having obsessive-compulsive and being depressed increased the risk of MS significantly.
Conclusions: The results of the current research partially solved the puzzling question of complex interplay between environmental factors and MS disease in this part of Iran. Incorporating these factors enables more powerful and accurate detection of novel risk factors with diagnostic and prognostic methods.
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http://dx.doi.org/10.3233/HAB-150289 | DOI Listing |
J Eval Clin Pract
February 2025
Faculty of Health Sciences, Department of Nursing, Division of Public Health Nursing, Bandırma Onyedi Eylül University, Balıkesir, Turkey.
Aim: This study aimed to translate the Environmental Health Literacy Scale (EHLS) into Turkish and assess its construct validity and internal consistency.
Methods: This research employs a methodological design. The research was conducted during the 2022-2023 academic year with a sample of 500 students from the Faculty of Health Sciences.
Sci Rep
December 2024
Department of Civil Engineering, Sharif University of Technology, Tehran, Iran.
Air pollution, a global health hazard, significantly impacts mortality, cardiovascular health, mental well-being, and overall human health. This study aimed to investigate the impact of air pollution and meteorological factors on cardiovascular mortality rates in Mashhad City, northeastern Iran in 2017-2020. We utilized a Random Forest (RF) model in this study.
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December 2024
School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
West Nile virus (WNV) is a mosquito-borne zoonotic flavivirus which often causes asymptomatic infection in humans but may develop into a deadly neuroinvasive disease. In this study, we aimed to investigate variables potentially associated with human WNV infection using human and mosquito WNV surveillance and monitoring datasets, established over 20 years, from 2003 to 2022, across the province of Ontario, Canada. We combined climatic and geographic data, mosquito surveillance data (n = 3010 sites), blood donation arboviral detection testing data in the human population, and demographic and socio-economic data from Canadian population censuses.
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December 2024
School of Economics and Management, Taiyuan Normal University, Taiyuan, 030619, China.
An investigation of the evolutionary characteristics and internal driving mechanisms of territorial space since the reform and opening up is essential. The study will guide the orderly development and rational layout of territorial space, as well as achievement transformation and high-quality development in Shanxi Province. We used land use data from 1980 to 2020, which was divided into four periods, to examine the changes in production-living-ecological spatial pattern in Shanxi Province.
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December 2024
School of Geophysics and Measurement-control Technology, East China University of Technology, Nanchang, People's Republic of China.
In this study, long-term and continuous monitoring of atmospheric radon concentration, temperature, air pressure, and humidity was conducted at China Jinping Underground Laboratory. The impacts of temperature, humidity, and air pressure on radon concentration in the experimental environment were specifically examined, along with the potential interactions among these factors. Moreover, Radon data were denoised using Singular Spectrum Analysis (SSA) to reveal factors that might influence changes in radon concentration.
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