Nevin Manimala

Int J Nephrol. 2021 Dec 1;2021:8238250. doi: 10.1155/2021/8238250. eCollection 2021.

ABSTRACT

BACKGROUND: Kidney disease affects absorption, distribution, metabolism, and excretion of medicines and their metabolites. Therefore, when prescribing medicines for patients with kidney disease, dose adjustment is an accepted standard of practice.

OBJECTIVE: This study aimed to assess medicine dose adjustment practice and associated factors among adult patients with renal impairment admitted to medical wards at Amhara region referral hospitals.

METHOD: Multicenter, institution-based, cross-sectional study was conducted from March 28, 2020, to August 30, 2020. The data was collected by using a pretested interviewer-administered structured questionnaire. Data were entered into Epi-Data version 4.6 and transferred into SPSS version 25 for further data processing and analysis. Descriptive statistics such as frequencies and percentages were computed. Both bivariable and multivariable binary logistic regression analyses were fitted to identify factors associated with dose adjustment practice. A 95% confidence interval and a p value less than 0.05 were used to declare statistical significance.

RESULT: Among 815 medicines’ prescriptions that needed dose adjustment, 417 (51.2%) of them were dosed inappropriately. Number of medicines, number of comorbidities, and being unemployed were significantly associated with inappropriate dose adjustment.

CONCLUSION: Our study revealed that there was a considerable rate of inappropriate dose adjustment in patients with renal impairment. Training for health care providers, use of guidelines, and communication with clinical pharmacists should be encouraged for good prescription practice.

PMID:34900352 | PMC:PMC8654552 | DOI:10.1155/2021/8238250

J Environ Health Sci Eng. 2021 Oct 20;19(2):1941-1950. doi: 10.1007/s40201-021-00746-2. eCollection 2021 Dec.

ABSTRACT

INTRODUCTION: Early diagnosis of autism is a critical step for gaining early intervention. The earlier interventions begin, the greater chance to reduce symptoms of autism over the lifespan. Despite the improvement in early diagnosis, age at diagnosis varies by residential locations. In order to improve early screening services, this study aims to identify geographic clusters of early and late diagnosis of autism, in addition, it is aimed to compare cases inside the clusters with the rest of the province on characteristics and socioeconomic factors.

MATERIALS AND METHODS: Survey data were collected from 163 autistics born from 1996 to 2011 in Isfahan Province, Iran. As this study found diagnosis of autism occur at an earlier age among children, who on average every 2.5 months increased for each year of age, distance from regression line has been used to determine how early a case was diagnosed compared to other identified cases. After dividing cases into 5 classes based on their distances from the regression line, the ordinal based space-time scan statistic in SaTScan was used to identify geographic areas within specific time periods that have significantly elevated proportions of autistic children who received diagnosis at the earlier or later stages.

RESULTS: The space-time analysis identified two geographic areas that age of diagnosis was inconsistent with the overall study area, the first area has an early diagnosis in central part of Isfahan megacity between 1998 and 2006 (P = .001), the second area shows to have a late diagnosis centered by Najafabad from 2010 through 2015 (P = .007).

CONCLUSIONS: The result of our spatial analysis can be used to evaluate the performance of diagnosis services and additionally provide information to target specific at-risk population for further interventions.

PMID:34900317 | PMC:PMC8617109 | DOI:10.1007/s40201-021-00746-2

J Environ Health Sci Eng. 2021 Sep 28;19(2):1887-1900. doi: 10.1007/s40201-021-00742-6. eCollection 2021 Dec.

ABSTRACT

This paper describes a multi-phase investigation into the direct effect of diesel exhaust emission on seed germination traits and biochemical changes responsible for observed effects in seeds belongs to the Brassica family. Diesel exhaust emissions were collected in germination boxes and seeds were exposed to diesel exhaust pollutants for durations of 30 to 120 min with 30 min intervals. Observed effects include seed germination inhibition, changes in seeds’ antioxidants activity, and protein content. The lowest seed germination of canola (71 %) and arugula (84 %) was observed when seeds were exposed to 120 min of diesel exhaust pollution. Seed exposure to diesel exhaust emission for 60 min, caused a 23 % and 8 % decline of germination index of canola and arugula, respectively. The maximum seed soluble protein for canola (3.72 mg/g FW) was observed in seeds exposed to 120 min diesel exhaust pollution declined to 1.65 mg/g FW, and 0.60 mg/g FW after 60 and 30 min exposure to diesel exhaust, respectively. The maximum protein content of arugula seeds (0.95 mg/g FW) was observed in the control treatment and it was reduced to 0.72 mg/g FW and 0.53 mg/g FW after 60 and 90 min exposure to diesel exhaust pollution. Catalase activity was significantly reduced as canola seed exposure to diesel exhausted was increased while there were no statistically significant changes for catalase activity of arugula seeds. All evidence suggested that time of exposure was the key phytotoxic component of exhaust emissions, and highlights the potential for detrimental effects of vehicle emissions on agro-ecosystems.

PMID:34900314 | PMC:PMC8617225 | DOI:10.1007/s40201-021-00742-6

J Environ Health Sci Eng. 2021 Oct 18;19(2):1827-1833. doi: 10.1007/s40201-021-00738-2. eCollection 2021 Dec.

ABSTRACT

PURPOSE: BTS waves are one of the most important environmental pollutants, but there is inadequate data of its effects on living creatures. Birds have major role in environmental balance and hematologic factors are good describers of animal health. Therefore, we studied hematological factors in pigeons to assess the health effects of BTS waves in urban birds.

METHODS: This experiment has been run on 120 six month-old pigeons. After adaptation to laboratory settings, they divided to six random groups of distance from BTS and daily exposure time. G1: 50 cm/30 min, G2: 100 cm/30 min daily, G3: 150 cm/30 min, G4: 50 cm/60 min, G5: 100 cm/60 min and G6: 150 cm/60 min. Daily exposure done for 30 consecutive days. Hematologic studies done before and after exposure for analysis of WBC, Neut, Mono, Lymph, RBC, Hb, HCT, MCV, MCHC and platelets. Results processed statistically by SPSS software.

RESULTS: The results of this study showed a significant difference between the six experimental groups. The results showed distance from the BTS source had the largest effect on PLT followed by HCT, MCV, MCHC, Neut, Hb, RBC, Lymph, WBC, and Mono, respectively. Moreover, the duration of exposure to BTS wave had the largest effect on Mono followed by PLT, Neut, MCV, MCHC, WBC, HCT, Lymph, RBC and Hb, respectively.

CONCLUSIONS: Study showed that increasing exposure time and decreasing distance from the wave source have significant effect on hematologic factors. The distance has more effect than exposure time. Further investigation on protection and reducing the side effects are recommended.

PMID:34900310 | PMC:PMC8617219 | DOI:10.1007/s40201-021-00738-2

J Environ Health Sci Eng. 2021 Aug 22;19(2):1701-1712. doi: 10.1007/s40201-021-00724-8. eCollection 2021 Dec.

ABSTRACT

Laboratory and epidemiological researches have indicated that ambient air particulate matter have a plays critical role in causing diseases. The current research evaluated the chemical attributes of PM2.5 in the ambient air of the cities of Karaj and Fardis and determined its toxicological effects on human lung epithelial cells (A549). In the study city, 16 points were selected from the two high-traffic and low-traffic points for sampling. A sampling of ambient air was carried out in spring, summer, autumn, and winter 2018-19. Air sampling was performed for 24 h according to the EPA-TO/13A guidelines. To analyze of toxic metals and polycyclic aromatic hydrocarbons (PAHs), ICP-OES and GC-MS were used, respectively, and for cell toxicity analysis, an ELISA reader was used. Then from SPSS, Excel and R software were used for statistical analysis. The results of the current study indicated that the concentration of PAHs carcinogenic in the autumn season in high-traffic stations was the highest and equal to 9.3 ng/m³, and in the spring season in the low-traffic stations, it was the lowest and equal to 5.82 ng/m³. In general, during the period of study, Heavy metals including Zn, Fe, Pb, Cu, and Al had the highest concentration compared to other metals. However, Hg, Cr, As, Pb, Cu, Cd, and Zn were higher concentration in the winter and autumn seasons than in the spring and summer seasons. Cell viability measurements by using MTT showed that low-traffic and high-traffic stations had the highest toxicity in autumn season compared to other seasons. (p < 0.05). In general, high-traffic stations had the highest toxicity than low-traffic stations. The general conclusion of the present study was that PM2.5-bound PAHs and toxic metals, due to their high concentration, were toxic pollutants in air for residents of Karaj and Fardis. Also, the high concentration of PM2.5 caused the mitochondrial activity of A549 cells to stop and this stop was more significant in cold seasons and high-traffic areas.

PMID:34900299 | PMC:PMC8617124 | DOI:10.1007/s40201-021-00724-8

J Environ Health Sci Eng. 2021 Oct 23;19(2):1623-1633. doi: 10.1007/s40201-021-00718-6. eCollection 2021 Dec.

ABSTRACT

PURPOSE: The existence of parasite agents in natural organic fertilizers can lead to health problems and infection transmission. The aim of the present study was to survey the parasites’ population reduction during the vermicomposting of the mixtures of municipal sewage sludge (SS) and cow dung (CD) using E. fetida earthworms.

METHODS: The vermicomposting process was performed by using earthworms of E. fetida species. The composting process was conducted in 27 pilots for 3 months. The identification and counting of the parasites’ population were carried out by Mac Master Slide, according to Bailenger method.

RESULTS: The results indicated that the type and number of parasite elements decreased with increasing vermicomposting time. The cumulative removal percent of parasites for sewage sludge (96.10%) was more than the SS + CD (93.65%) and CD (92.93%) treatments. The results showed that after 90 days of vermicomposting, the highest cumulative reduction in the number of parasites was obtained for the treatments with 40 earthworms (98.48%), while the corresponding value for the treatments without earthworms was (88.66%). The statistical analysis indicated that in terms of the parasite’s population, a significant difference was observed for the three kinds of compostable materials (P < 0.05), however, this difference was not significant for the three levels of the earthworms (P > 0.05).

CONCLUSION: The results showed that the mixture of sewage sludge and cow dung in combination with sawdust could lead to greater and faster reduction in the parasite’s population. In addition, the bio-transformed product can be used as useful manure.

PMID:34900293 | PMC:PMC8617126 | DOI:10.1007/s40201-021-00718-6

J Environ Health Sci Eng. 2021 Jul 12;19(2):1473-1481. doi: 10.1007/s40201-021-00702-0. eCollection 2021 Dec.

ABSTRACT

PURPOSE: Second-hand smoke is recognized as a major indoor pollutant. Evidences indicated that Second-hand smoke exposure can influence on not only physical health, but also mental well-being. As the correlation of secondhand smoke exposure with sleep quality and quality of life has not yet been clarified sufficiently, the purpose of this study was to evaluate the association between Second-hand smoke exposure, with sleep quality and quality of life after adjusting for active smoking and other relevant confounders.

METHODS: The participants of this study were 1790 staff in Tehran University of Medical Sciences with different jobs employed in various academic departments (clinical, research, services, educational and technical ones). They participated voluntarily in this research project and completed the informed consent form between 2018 and 2019. A translated questionnaire of Global Adult Tobacco Survey was used to gather information about smoke exposure. When to evaluate the quality of life, the WHOQOL-BREF tool was applied. All statistical analyses were executed using STATA V14 software.

RESULTS: High rate of smoking and also exposure to second-hand smoke significantly increased sleep disorder and reduced the quality of life. In other words, smokers or those who are exposed to second-hand smoke suffer from sleep disturbances and had a poorer physical, psychological, and environmental quality of life. Additionally, the results of multivariate regression analysis demonstrated that the secondhand-smoke group had 1.38 times higher rate of sleep disorder in comparison with non-smokers, that was statistically significant. The women had 2.68 times higher odds of having sleep disorder compared to men. (95 % CI: 2.20 to 3.27). On the other hand, mean score of psychological domain of quality of life in secondhand-smoke group was lower with the size of difference as 0.66 than that in non-smokers, and the difference was statistically significant (p = 0.001).

CONCLUSIONS: Both active smoking and exposure to second hand smoke have a negative impact on sleep quality and quality of life.

PMID:34900281 | PMC:PMC8617127 | DOI:10.1007/s40201-021-00702-0

J Environ Health Sci Eng. 2021 Jul 14;19(2):1447-1455. doi: 10.1007/s40201-021-00699-6. eCollection 2021 Dec.

ABSTRACT

BACKGROUND: Nosocomial infections usually occur 48 hours after admission to the hospital or up to 72 hours after discharge from the hospital. They lead to an increase in mortality and health costs. The purpose of this study is to measure the knowledge, attitude, and performance of paramedical staff about nosocomial infection control.

MATERIALS AND METHODS: This cross-sectional study was conducted in Tehran hospitals in 2019. A valid and reliable questionnaire was used to collect data. The questionnaires were distributed among 405 randomly selected paramedical staff at 25 hospitals in Tehran. The data were analyzed using SPSS18.

RESULTS: The mean scores of paramedical staff’s knowledge, attitude, and performance in terms of nosocomial infection control were 11.2 ± 2.2 (good), 21.7 ± 3.7 (good), and 49.2 ± 9.4 (good) respectively. A statistically significant relationship was obtained between paramedical staff’s work experience and type of hospital and their knowledge, attitude, and performance in terms of nosocomial infection control (P <0.05). In addition, a statistically significant relationship was found between gender, age, education, and, employment type and nosocomial infection control performance (P <0.05).

CONCLUSIONS: The knowledge, attitude, and performance of paramedical staff about nosocomial infections in Tehran hospitals were good. Education, continuous supervision, and provision of the necessary equipment are needed for improving the paramedical staff’s knowledge, attitude, and performance in terms of nosocomial infections.

PMID:34900279 | PMC:PMC8617098 | DOI:10.1007/s40201-021-00699-6

J Environ Health Sci Eng. 2021 Jul 30;19(2):1277-1286. doi: 10.1007/s40201-021-00683-0. eCollection 2021 Dec.

ABSTRACT

PURPOSE: Environmental contamination with various pesticides accompanied by uncontrolled use contributes to severe ecological and health problems. Although extensive research was conducted on pesticides degradation, very few reports have demonstrated the degradation of mixed pesticides. Consequently, this study aimed to evaluate the removal efficacy of highly potent bacterial isolate for pesticide mixture under optimal culture conditions, followed by their application in milk.

METHODS: Isolation and selection of bacterial isolates were performed from 40 milk samples by enrichment culture technique and were screened to obtain highly potent bacterial strain identified by 16 S rDNA analysis. The statistics-based experimental designs were applied to optimize the culture conditions towards the best degradation of pesticides mixture, followed by subsequent utilization in milk. The degradation ratio of pesticides was analyzed using gas chromatography-mass spectrometry.

RESULTS: In this study, a bacterial strain S6A identified as Bacillus subtilis-mw1 efficiently eliminated environmental contaminants from different groups of pesticide residues. The statistical optimization showcased optimum settings that accomplished the highest pesticide mixture degradation (61.59 %). The application experiment manifested that degradation of pesticide mixtures of sterile milk (STM) was relatively faster than non-sterile milk (NSTM).

CONCLUSIONS: The obtained results assist in eliminating environmental contamination with various groups of pesticide residues. Furthermore, it can be employed in reducing pesticide residues that cause milk contamination to increase safety and quality.Graphical abstract.

SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40201-021-00683-0.

PMID:34900265 | PMC:PMC8617149 | DOI:10.1007/s40201-021-00683-0

Stat (Int Stat Inst). 2021 Dec;10(1):e408. doi: 10.1002/sta4.408. Epub 2021 Aug 18.

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic has led to tremendous loss of human life and has severe social and economic impacts worldwide. The spread of the disease has also caused dramatic uncertainty in financial markets, especially in the early stages of the pandemic. In this paper, we adopt the stochastic actor-oriented model (SAOM) to model dynamic/longitudinal financial networks with the covariates constructed from the network statistics of COVID-19 dynamic pandemic networks. Our findings provide evidence that the transmission risk of the COVID-19, measured in the transformed pandemic risk scores, is a main explanatory factor of financial network connectedness from March to May 2020. The pandemic statistics and transformed pandemic risk scores can give early signs of the intense connectedness of the financial markets in mid-March 2020. We can make use of the SAOM approach to predict possible financial contagion using pandemic network statistics and transformed pandemic risk scores of the COVID-19 and other pandemics.

PMID:34900251 | PMC:PMC8646286 | DOI:10.1002/sta4.408