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Data for atmospheric arsenic deposition: A case study- northeast of Iran.

ABSTRACT: Air pollution is the major health concern in modern societies, especially in countries with arid and aggressive climate. Nowadays extensive research has been carried out to identify air pollution and its control. The main aim of this study is determine the atmospheric arsenic deposition concentration in Gonabad County in northeast Iran. In this cross-sectional study, the concentration of arsenic was measured by collecting of PM10 deposition from the ambient air of Gonabad urban areas. Samples were firstly taken by jar test method in four one-month periods in 2016 from Taleghani st., Imam Khomeini sq., Mend sq., Ghaffari st., and Sadi st., and arsenic concentration in the particles were determined by the Graphite furnace atomic absorption spectroscopy (GFAAS). The results indicated that the maximum and minimum concentrations (average) of particles PM10 depositing was observed in Taleghani st. about 10.395 ± 1.183 µg/kg and Imam Khomeini sq. about 4.394 ± 0.961 µg/kg, respectively. The maximum and minimum concentration of arsenic concentrations were estimated to be respectively 12.080 and 3.560 µg/kg in December and September, respectively. The results showed that in the northern part of the city, due to the wind blow, there are more particles in the air and people living in these areas are more exposed to arsenic. Therefore, residents of these areas need more actions that are preventive.

SUBMITTER: Atarodi Z

PROVIDER: S-EPMC5997950 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND: over the last 25 years several national registries of CF have been set up. Such systems can be very useful in providing an integrated resource for improving patient care and conducting research on the disease. Minimum Data Set is a common set of data items that should be used to collect and report data in the registry. The principal aim of this research was to determine minimum data set for the CF registry in north-west of Iran. METHODS: data items collected by several selected registries of cystic fibrosis were studied and an initial set of data was selected by the researchers. A group of experts including epidemiologists, pediatricians, and CF specialists were asked to review the proposed data elements and score them based on their importance by using a nine-point Likert scale. The items scored as important or highly important by more than 50 % of the experts, were included in final list of minimum data set. Availability of data was evaluated through reviewing medical records of 144 patients hospitalized in Children Hospital located in Tabriz. RESULTS: overall six classes of data (46 items) were identified in the selected registry systems for cystic fibrosis: patient demographics, administrative data, survival status, diagnostic procedures, genetic and clinical manifestations, and therapeutics. Thirty two data elements from all six categories of data were approved by the experts as the minimum data set for cystic fibrosis registry system. Availability of data in administrative category and survival class was 100 percent. Collecting data on medications was feasible in 100% of the cases as well. In class of demographic data, accessibility of patient name, age, gender, place of birth, and date of birth was 100 percent. In group of diagnostic procedures, partial availability of data was found for sweat test and genetic test. No data was found on the antenatal screening, exercise tolerance test, and glucose tolerance test. CONCLUSION: this work can be considered as a first step toward establishing CF registry system in Iran. Minimum data set can be also useful in designing electronic registry or electronic patient records for those suffering from CF toward integration of their fragmented records across continuum of the health care system in order to improve quality of shared patient care.

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Data for atmospheric arsenic deposition: A case study- northeast of Iran.

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