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

Purpose: This study was designed to measure the concentrations of heavy (Pb, Cu, Fe, Ni, and Zn) metals in water, soil, and frequently edible leafy vegetables in the Iranian population and assessed the carcinogenic and non-carcinogenic health risk in consumers. Methods: The samples of soil, water, and vegetables were collected from forms near the Tehran-Mashhad highway in Neyshabur, Iran. The content of heavy metals in the samples was analyzed using Atomic Absorption Spectrophotometry. Results: The average concentrations of Pb, Cu, Fe, Ni, and Zn were 5.56, 3.35, 4.74, 2.95, and 5.27 mg/kg, respectively. Lead concentration in all of the vegetable samples was higher than the permissible value endorsed by the World Health Organization (WHO) / Food and Agriculture Organization (FAO). In contrast, the concentrations of all the other heavy metals in the samples were less than the maximum permissible levels recommended by WHO/FAO. Similarly, the water and soil samples were highly contaminated by Lead. The hazard quotient (HQ) of all the heavy metals was distinctively less than one, and it did not exceed 0.3 in any of the age groups. Furthermore, the carcinogenic risk for nickel was only higher than the recommended value, especially in women. Conclusion: While it seems that consuming vegetables has no acute health risk related to heavy metals, long-term and regular ingestion of the vegetables are likely to make cancer risk. Besides, due to the high concentration of Pb in soil and vegetables, regular and integrated assessment of heavy metals in soil, water, and food is necessary.

Interaction between meteorological parameters and COVID-19: an ecological study on 406 authorities of the UK.

Understanding the factors affecting COVID-19 transmission is critical in assessing and mitigating the spread of the pandemic. This study investigated the transmissibility and death distribution of COVID-19 and its association with meteorological parameters to study the propagation pattern of COVID-19 in UK regions. We used the reported case and death per capita rate (as of November 13, 2020; before mass vaccination) and long-term meteorological data (temperature, humidity, precipitation, wind speed, and visibility) in 406 UK local authority levels based on publicity available secondary data. We performed correlation and regression analysis between COVID-19 variables and meteorological parameters to find the association between COVID-19 and independent variables. Student's T and Mann-Whitney's tests were used to analyze data. The correlation and regression analyses revealed that temperature, dew point, wind speed, and humidity were the most important factors associated with spread and death of COVID-19 (P <0.05). COVID-19 cases negatively correlated with humidity in areas with high population density, but the inverse in low population density areas. Wind speeds in low visibility areas, which are considered polluted air, may increase the spread of disease (r=0.42, P <0.05) and decrease the spread in high visibility areas (r=-0.16, P <0.05). Among low (T <10°C) and high (T >10°C) temperature areas, the average incidence rates were 2056.86 (95% confidence interval (CI): 1909.49-2204.23) and 1446.76 (95% CI: 1296.71-1596.81). Also, COVID-19 death per capita rates were 81.55 (95% CI: 77.40-85.70) and 69.78 (95% CI: 64.39-75.16) respectively. According to the comprehensive analysis, the spread of disease will be suppressed as the weather warms and humidity and wind speed decrease. Different environmental conditions can increase or decrease spread of the disease due to affecting spread of disease vectors and by altering people's behavior.

Association of COVID-19 global distribution and environmental and demographic factors: An updated three-month study.

We investigated the association of some environmental and economic factors and the global distribution indicators of the COVID-19 pandemic. Since the number of cases and deaths is higher in high-income countries located in higher latitudes and colder climates, further studies are required to shed light on this matter.

Do socioeconomic factors affect the prevalence of multiple sclerosis in Iran?

BACKGROUND: A rising trend for incidence of multiple sclerosis (MS) has been observed during the recent years in Iran. Several factors have been investigated as the reason, but socioeconomic determinants have been neglected. The present study aimed to investigate the relationship between Human Development Index (HDI), income and education and MS prevalence in the provinces of Iran. METHODS: The data used in this study were obtained from three sources: (a) National Registry of MS for MS prevalence data from 2006 to 2013, (b) Statistical Centre of Iran for demographic, income, and percentage of educated people data, and (c) some previous studies for HDI data. RESULTS: The findings showed high prevalence of MS in the provinces of Iran. Most patients were residents of provinces with a higher socioeconomic level. Significant relationships were found between the prevalence of MS and HDI, income and educational level (P = .002, P = .006, and P = .001, respectively). CONCLUSION: Socioeconomic determinants in Iran are different from those in many other countries. It seems that Iranian provinces with a higher socioeconomic level have higher prevalence of MS. Further studies in smaller scale are needed to better understand the relationship between socioeconomic determinants and MS prevalence in the provinces of Iran.

Long-term trends of Nitrogen oxides and surface ozone concentrations in Tehran city, 2002-2011.

BACKGROUND AND AIM: Tropospheric ozone is a problem with multi aspects - hazard to human health, plant, and welfare and a key factor to climate change, air pollution and atmosphere chemistry, as well. Behavior of ozone and nitrogen oxides (NO, and NO2) concentration is highly complex and variable; therefore, their trends as short and long-term were significantly attended. Most of the studies were carried out on the behavior of pollutant concentrations in North America, Europe, and East Asia, but few studies have been conducted in west Asia. The aim of this study was to assess daily changes and long-term trend of ozone and nitrogen oxides concentrations in Tehran city, Iran from March 2002 to September 2011. MATERIAL AND METHODS: Data were collected from 18 air quality monitoring stations. The data were sorted as daily mean of 10 years (daily changes) and annual mean for each year (long-term trend). One-sample test was used to assess the statistical significance. RESULTS: Current findings indicated that changes of ozone, NO, and NO2 concentrations are dependent from job shifts and photochemical reactions. Annual mean concentrations of ozone and NO2 were gradually increased, long-term trend of ozone and NO2 concentration indicated. The correlation between long term trend of ozone and NO2 was significant (p < 0.05). CONCLUSION: The controlling program was the most important factor in long-term concentration of ozone, and nitrogen oxides, but some problems and difficulties were accounted to perform controlling program.

The Evaluation of Multiple Sclerosis Dispersal in Iran and Its Association with Urbanization, Life Style and Industry.

BACKGROUND: Multiple Sclerosis (MS) is an autoimmune disease with unknown factor. The prevalence and incidence rate of this disease had an upward trend in many regions in the world such as Middle east and consequently in Iran over the recent years. As the risk factors of this increased trend and high-prevalence is unknown in Iran, the current study has been designed to evaluate the correlation between MS dispersal with urbanization, life style and industry, as an ecological research. METHODS: This retrospective study was designed as an ecological approach in 2011. Data were collected from three databases by high precision (CI95%) from national registry plans. The subjects of study were provinces of Iran (n=31). The linear regression was used to perform statistical analyses. RESULTS: The obtained results indicated an ascendant trend of MS during the recent years, as the incidence of this disease reached from 26.24/100000 (CI95%) people in 2006 to 44.53/100000 (CI95%) in 2011. There is a direct correlation (P<0.05) between the percentage of urbanization and the percentage of male smokers with the prevalence of MS in provinces. CONCLUSION: The role of smoking was more highlighted in this study as a probable factor in increasing risk and causing MS disease. Urbanization could be introduced as an augmentative factor, but this is a combination of several complex factors that this effect must be appraised with smaller scale in other researches.