Cardiovascular disease, mortality and exposure to particulate matter (PM): a systematic review and meta-analysis

One of the main factors that causes health effects in humans such as hospital admissions for cardiovascular disease (HACVD), respiratory disease (RD), lung function, cardiovascular mortality (MCVD), lung cancer, and increased mortality is air pollution especially particulate matter (PM). This a systematic review and meta-analysis aims to investigate the effects of particulate matter on the occurrence of cardiovascular disease and mortality. A systematic review and meta-analysis of the literature was done from 2011 to 2021 based on various databases. Based on the result of this study, subgroup analysis based on temperature conditions showed a different estimation in cold cities (6.24, UR (4.36-8.12)), moderate cities (4.86, UR (3.57-6.15)) and warm cities (8.96, UR (7.06-10.86)). Test of group differences showed a significant difference (Q=12.22, p-value<0.001). There was publication bias among the studies (the Egger's test; (Z=14.18, p<0.001)). According result study pooled estimation of AP% for MCVD from the random-effect meta-analysis based on DerSimonian-Laird model, overall is 5.04, UR (3.65-6.43) (Figure 4). Subgroup analysis based on temperature conditions showed the estimation in cold cities (5.47, UR (3.97-6.97)) and moderate cities (4.65, UR (0.54-8.77)). Test of group differences showed a non-significant difference (Q=0.13, p-value=0.71). There was no publication bias among the studies (the Egger's test; (Z=0.82, p=0.376)). Exposed to air pollutants and particulate matter can be increase the risk of cardiovascular disease, respiratory disease, and cardiovascular mortality.

Application of the thermoelectric cooling system in making a cooling belt: A case of heat stress control measure device

BACKGROUND

Climate change and global warming are emerging as new challenges worldwide. The World Meteorological Organization has reported that the temperature is expected to rise by an average of 1.2°C between 2021-2025. This increase in temperature will expose more and more workers to extreme heat.

OBJECTIVE

This study aimed to explore the possibility of using thermoelectric coolers for cooling the water circulation circuit of a cooling belt, which can be used for extended periods in high-temperature environments.

METHODS

A cooling belt was designed using thermoelectric coolers (TEC) and two blowers. The TECs were equipped with heat sinks and heat exchange block made of aluminum at hot and cold sides to exchange heat effectively.

RESULTS

The experiment was conducted under actual environmental temperature conditions during three different time periods, with mean temperatures of 31, 48, and 41°C. The mean temperature of the belt section was recorded as 20.73, 24.52, and 21.38°C, respectively. The maximum average difference between the inlet air temperature and the inside cooling belt temperature was 40.45°C.

CONCLUSION

The experiment revealed that the cooling performance of the designed prototype remained within an acceptable range (18°C) despite the increase in ambient temperature. Moreover, the cooling system can be utilized in high-heat environments to reduce thermal stress.

Compliance with health protocols in the banking sector facing Covid-19

Background

The spread of the coronavirus has become one of the current challenges in the world. Implementing health protocols in the workplace along with informing people who face them, has become a vital issue.

Objective

The purpose of this study was to determine the level of compliance with health protocols and measure the level of awareness, attitude and performance of bank employees while facing Covid-19.

Materials and methods

The data collection tool included a checklist and two questionnaires (demographic information and the other on the awareness, attitude and performance of bank staff) regarding the coronavirus.

Results

A total of 199 bank employees from 25 bank branches participated in the study. The results showed that in 24% of the bank branches, the staff did not use face masks. And 100% of the studied bank branches lacked proper ventilation. The mean awareness scores of female employees (94.3) were significantly higher than those of male employees (87.7). Also, the performance of female employees (93.2) was significantly better than male employees (87.2).

Conclusion

The results showed that to achieve proper performance in controlling and reducing the covid-19 disease among bank employees and other workers, these items are noteworthy: (1) Providing and training the correct use of protective equipment including face masks. (2) Monitoring for strict implementation of health protocols. Therefore, it is necessary to keep training and information up-to-date due to the new phenomena of this disease.

Investigation of the Relationship Between Noise-Induced Hearing Loss and Metabolic Syndrome in One of the Oil Industries in the South of Iran

Investigating the non-auditory effects of noise on humans has been of interest from different aspects. In this study, the relationship between noise-induced hearing loss (NIHL) and metabolic syndrome. This cross-sectional study was performed on 1380 male workers of one of the oil and gas companies in the south of Iran. The data was obtained via clinical examination and hearing status assessment to evaluate the metabolic syndrome and its components, intravenous blood samples were taken and tested according to NCEPATPIII criteria. For statistical analysis, the data were analyzed using SPSS software version 25 at a significant level of 0.05. The results showed that the body mass index variable increased the chance of developing metabolic syndrome by 11.4%. NIHL increases the chance of developing metabolic syndrome (OR = 1.291). Also, the same results were observed in hypertriglyceridemia OR = 1.255, waist circumference (OR = 1.163), fasting blood sugar (OR = 1.159), blood pressure (OR = 1.068) and HDL (OR = 1.051). Considering the effect of NIHL on metabolic syndrome, it is possible to help reducing the incidence of metabolic syndrome and any of its components by controlling noise exposure and accordingly reducing non-auditory injuries to individuals.

Survey of the health, safety and environment climate and its effects on occupational accidents

BACKGROUND: Preserving and protecting the human resources is considered as the most important capital in any economic section by industrial development. OBJECTIVE: The aim of this study was to evaluate the health, safety and environment (HSE) climate and its effects on occupational accidents in a petrochemical industry. METHOD: This cross-sectional study was performed on 354 male workers in a petrochemical industry (10 different categories of site operators). Data was collected through a questionnaire, which its validity and reliability were standardized with Cronbach’s alpha at 0.85. In this questionnaire the safety condition, workplace environment, disease symptoms were investigated in five, four and three dimensions, respectively. Data was analyzed by SPSS version 23 and LISREL version 8.8. RESULTS: According to the model values, there were significant correlation between safety condition and workplace environment r = 0.66, also between work safety condition and disease symptoms. The three hidden variables of work safety condition, work mental environment and physical workplace had significant effects on disease symptoms. Therefore, safety condition was the most effective variable on disease symptoms. Two significant predictors were work safety condition and physical workplace for work mental environment with coefficients γ= 2.29, β= –0.1, respectively. CONCLUSION: HSE condition indicators, working environment and disease symptoms reflect workers’ views on HSE issues in the workplace. It can be beneficial in rooting the factors affecting occupational accidents and performance evaluation in the organization HSE management system.

Cognitive functions and anxiety among blue-collar workers in hospitals during COVID-19 pandemic

Background

The rapid spread of COVID-19 poses a major threat to public health worldwide. Hospital blue-collar workers, like other health care workers, may be under severe physical and psychological stress. This psychological distress is mainly described as symptoms of anxiety and depression, stress and cognitive function. This study aimed to investigate the effects of anxiety on cognitive function among laundry and sterilization center workers in 4 hospitals during COVID-19 pandemic.

Method

This study has a cross-sectional design and it was conducted among health service workers who were occupied in health facilities (laundry and sterilization center) in 4 hospitals. In the present study, two questionnaires and a test were used to collect the data included a general health questionnaire (GHQ-28), a health anxiety index questionnaire (HAI-18) and a cognitive function test. Descriptive statistics and Spearman correlation coefficient by SPSS version 19 were used.

Results

The results showed that the overall score of coronavirus anxiety in male and female workers was 38.72 ± 5.94 and 40.92 ± 4.11, respectively. The correlation between auditory attention and coronavirus anxiety is moderate and has a negative trend (P = 0.050, n = 50, and r = -0.315). Workers with higher anxiety expressed lower auditory attention. Also, correlation between visual attention and coronavirus anxiety was weak and negative (P = 0.032, n = 50, and r = -0.179).

Conclusion

This study revealed that cognitive and psychological aspects of mental health can be affected by COVID-19 exposure and its due anxiety in blue-collar workers in hospitals. These findings indicate that purposeful supportive interventions should be implemented to promote workers' health and cognitive function.

Base transceiver station antennae exposure and workers' health

BACKGROUND

With the rapid development of technologies related to the communications industry, human exposure to electromagnetic fields has increased during recent decades. The study aimed at investigating the effect of exposure to waves emitted from the base transceiver stations (BTS) on workers' health.

METHODS

240 workers (120 BTS maintenance workers (case group) and 120 office staff (control group)) participated in the study. In order to determine the general health conditions in two groups, along with electromagnetic waves exposure measurement, the general health questionnaire (GHQ) was completed and the data on blood parameters were assessed.

RESULTS

The mean age and job experience in the case and control groups were 34.1 ± 4.8 and 10.1 ± 6 years and 31.6 ± 5.5 and 8.8 ± 7 years, respectively. According to the GHQ results, only anxiety and insomnia subscales showed a significant difference between the two groups. The white blood cell and red blood cell counts in the case and control groups were 6715.6 ± 1591 and 7594 ± 2416, 5.3×10⁶±4.6×10⁵ and 5.05×10⁶±5.39×10⁵ per ml, respectively. Analysis of the results showed that the difference between the two groups was significant.

CONCLUSION

The results revealed that blood parameters in the BTS operators showed more changes. Thus, it can be concluded that these health impacts result from occupational exposure to BTS waves.

Consequences and health effects of toxic air pollutants emission by industries

Emission large amounts of air pollutants can cause many problems in the environment and human health. The purpose of this review study was evaluating consequences and health effects of toxic air pollutants and expressing strategies for controlling these pollutants. A narrative review of the literature was done based on searched databases. All relevant studies published 1998 until 2021 gathered. According to the databases, 360 articles were retrieved. 24 studies were screened after review and 16 full-text articles entered into the analysis process. Finally, 9 articles were selected in this study. The results of this study showed that industrialization, increasing urbanization, technological development, rapid population growth, increased desertification and deforestation, occurrence of dust phenomenon, uncontrolled growth of motor vehicles, entry of various pollutants and environmental degradation cause a phenomenon called air pollution. Based on the results, the toxic air pollutants causes many health endpoints in human such as respiratory disease, asthma, chronic lung disease, respiratory and cardiovascular system dysfunction, decreased immune system, headache, dizziness, gastrointestinal disease and increased risk of cancer (lung, stomach, intestine, eye, liver and brain). According to research related to the subject, air pollution is a positive function of energy consumption, volume of industrial activities, and the uncontrolled increase of human activities. The most vital factors are increasing the level of public awareness, reducing the exposure to toxic air pollutants, improving quality of the products and consumption of consumed fuels.

The university students’ viewpoints on e-learning system during COVID-19 pandemic: the case of Iran

The outbreak of COVID-19 closed educational institutions and universities. The aim of this study was to explain the strengths and weaknesses of the e-learning system in Iranian universities of medical sciences in the COVID-19 pandemic. This is a qualitative study that was conducted with students enrolled in Iranian medical universities. Data was collected through an open-ended electronic questionnaire based on the interview guide and was analyzed through content analysis.

122 students from 46 medical universities participated in this study. 122 questionnaires from 46 universities of medical sciences were completed. From a total of 54 codes extracted from the results, seven (strengths/positive experiences) and six (weaknesses/challenges) themes were extracted, each of which had several subsets. E-learning has both visible and hidden layers in terms of advantages and disadvantages. The e-learning system is an essential tool to continue education during the COVID-19 pandemic. Most students believe that e-learning was a great complement to prevent academic failure, but it cannot replicate the same efficiency of face-to-face training.

Reader fatigue - Electroencephalography findings: A case study in students

BACKGROUND

Mental fatigue is usually accompanied by a sense of weariness, reduced alertness, and reduced mental performance, which can lead to accidents, decrease of productivity in workplace and several other health hazards.

OBJECTIVE

The aim of this study was to assess mental fatigue of students while reading for a prolonged duration of time by application of electroencephalography (EEG).

METHODS

Ten healthy students (27.57±3.4 years; 5 females and 5 males), participated in the study. The experimental design consisted of 5 blocks of 15-min length, in total 75 min for each participant. The experiment was done without any reading activities at the first block. In the following, participants studied the texts and corrected the mistakes. In each block EEG (beta, alpha, and theta power), and the Karolinska Sleepiness Scale (KSS) were recorded.

RESULTS

The mean of the self-assessment of sleepiness by KSS from the first to final 15 minutes were 2.3, 3.4, 4.3, 5.2, and 6.1, respectively. The average power in the theta band decreased from 1.23μV2/Hz at the first 15-min period to 1.02μV2/Hz at the last 15-min period. Also, mean power in the alpha band decreased from 0.85μV2/Hz at the first 15-min period to 0.59μV2/Hz at the last 15-min period.

CONCLUSION

The study showed that the KSS and EEG activity indicate sleepiness which were highly correlated, with both changing along with performance.

The role of ambient parameters on transmission rates of the COVID-19 outbreak: A machine learning model

BACKGROUND

In recent years the relationship between ambient air temperature and the prevalence of viral infection has been under investigation.

OBJECTIVE

The study was aimed at providing the statistical and machine learning-based analysis to investigate the influence of climatic factors on frequency of COVID-19 confirmed cases in Iran.

METHOD

The data of confirmed cases of COVID-19 and some climatic factors related to 31 provinces of Iran between 04/03/2020 and 05/05/2020 was gathered from official resources. In order to investigate the important climatic factors on the frequency of confirmed cases of COVID-19 in all studied cities, a model based on an artificial neural network (ANN) was developed.

RESULTS

The proposed ANN model showed accuracy rates of 87.25%and 86.4%in the training and testing stage, respectively, for classification of COVID-19 confirmed cases. The results showed that in the city of Ahvaz, despite the increase in temperature, the coefficient of determination R2 has been increasing.

CONCLUSION

This study clearly showed that, with increasing outdoor temperature, the use of air conditioning systems to set a comfort zone temperature is unavoidable. Thus, the number of positive cases of COVID-19 increases. Also, this study shows the role of closed-air cycle condition in the indoor environment of tropical cities.

Evaluation of airborne exposure to volatile organic compounds of benzene, toluene, xylene, and ethylbenzene and its relationship to biological contact index in the workers of a petrochemical plant in the west of Iran

Nowadays, workers in petrochemical industry might be exposed to organic volatile compounds, including benzene, toluene, ethylbenzene, and xylene (BTEX). The aim of this study was to investigate the concentration of BTEX contaminations and the biological index in employees of petrochemical sites in the west of Iran. The study was conducted as a cross-sectional study on 30 stations and 60 inhalation and biological samples collected in winter and summer. The NIOSH 2549 and 1501 methods were used for sampling and analyzing the inhaled samples. Gas chromatography-mass spectrometry (GC-MS) equipped with flame ionization detector and high-performance liquid chromatography (HPLC) was used to measure the volatile contaminations. The results showed that the mean concentrations of benzene, toluene, and xylene were significantly different in summer and winter. Significant and strong correlations were observed between the concentrations of benzene, toluene, and xylene and the biological values (r > 0.7). Moreover, the concentration of benzene (β = 0.836), toluene (β = 0.718), and xylene (β = 0.786) predicted the changes in their biological values. Given the hazardous concentrations of benzene and toluene in industrial plants and the correlation of the concentration levels and biological values, management and control strategies should be implemented to eliminate and reduce the pollutants and the effects.

Neural Network-Based Clinical Prediction System for Identifying the Clinical Effects of Saffron (Crocus sativus L) Supplement Therapy on Allergic Asthma: Model Evaluation Study

Background

Asthma is commonly associated with chronic airway inflammation and is the underlying cause of over a million deaths each year. Crocus sativus L, commonly known as saffron, when used in the form of traditional medicines, has demonstrated anti-inflammatory effects which may be beneficial to individuals with asthma.

Objective

The objective of this study was to develop a clinical prediction system using an artificial neural network to detect the effects of C sativus L supplements on patients with allergic asthma.

Methods

A genetic algorithm–modified neural network predictor system was developed to detect the level of effectiveness of C sativus L using features extracted from the clinical, immunologic, hematologic, and demographic information of patients with asthma. The study included data from men (n=40) and women (n=40) individuals with mild or moderate allergic asthma from 18 to 65 years of age. The aim of the model was to estimate and predict the level of effect of C sativus L supplements on each asthma risk factor and to predict the level of alleviation in patients with asthma. A genetic algorithm was used to extract input features for the clinical prediction system to improve its predictive performance. Moreover, an optimization model was developed for the artificial neural network component that classifies the patients with asthma using C sativus L supplement therapy.

Results

The best overall performance of the clinical prediction system was an accuracy greater than 99% for training and testing data. The genetic algorithm–modified neural network predicted the level of effect with high accuracy for anti–heat shock protein (anti-HSP), high sensitivity C-reactive protein (hs-CRP), forced expiratory volume in the first second of expiration (FEV₁), forced vital capacity (FVC), the ratio of FEV₁/FVC, and forced expiratory flow (FEF_25%-75%) for testing data (anti-HSP: 96.5%; hs-CRP: 98.9%; FEV₁: 98.1%; FVC: 97.5%; FEV₁/FVC ratio: 97%; and FEF_25%-75%: 96.7%, respectively).

Conclusions

The clinical prediction system developed in this study was effective in predicting the effect of C sativus L supplements on patients with allergic asthma. This clinical prediction system may help clinicians to identify early on which clinical factors in asthma will improve over the course of treatment and, in doing so, help clinicians to develop effective treatment plans for patients with asthma.

Face masks vs. COVID-19: a systematic review

The coronavirus disease (COVID-19) spread rapidly around the world. Two types of approaches have been applied to use of face masks as a tool to prevent the spread this disease in society. The aim of the systematic review was to assess the effectiveness of face masks against the novel coronavirus. A literature search was performed using different databases until April 30, 2020. Search terms were ‘facemasks’, ‘novel coronavirus’, and ‘healthcare workers’. Five studies were included in the systematic review. A study stated that no difference between surgical and cotton masks. Also, two studies have emphasized the use of surgical masks or N95 respirators by medical staff, and two other studies emphasized the use of any type of face mask by general public. More studies in controlled contexts and studies of infections in healthcare and community places are needed for better definition of the effectiveness of face masks in preventing coronavirus.

Public Eye toward COVID-19: A Systematic Review

BACKGROUND: The general public has an important role in controlling the spread of infectious diseases by pursuing prophylactic measures. AIM: The aim of the present systematic review was to describe public perceptions, knowledge, attitudes, and behaviors toward COVID-19. METHODS: In this review, articles were extracted from the Google Scholar, Embase, Scopus, Web of Science, and PubMed search engines. The main keywords for the search were coronavirus, COVID-19, public perceptions, knowledge, attitudes, and behaviors. RESULTS: The knowledge level toward novel coronavirus in different countries was generally high, and it had an increasing pattern during the pandemic phase. Furthermore, the insight self-efficacy, perceived severity of the COVID-19, and intention to meet the needs of preventive measures have increased notably. Furthermore, there are several misconceptions and unconfirmed beliefs in the general public in the case of preventive measures recommended, in particular. CONCLUSIONS: Health authorities and other disease control centers should monitor public misconceptions and perceptions continuously and manage a trusting platform to be presented to the public, especially in the case of a novel disease outbreak.

The Relationship Between Organizational Climate, Organizational Commitment and Job Burnout: Case Study Among Employees of the University of Medical Sciences

Background and Objective:

Organizational climate and organizational commitment have a tangible effect on organizational performance. This study aims to investigate organizational climate in a university of medical sciences along with organizational commitment and job burnout in the university staff.

Methods:

This cross-sectional study is carried outviadescriptive-analytical method on 250 employees of Torbat Heydariyeh University of Medical Sciences, Iran in 2016. Data collection tools include standard questionnaires of organizational climate, organizational commitment, and Maslach burnout inventory. Data analysis was carried out with SPSS software version 21 and Man-Whitney statistical tests, Kruskal-Wallis analysis, ANOVA, Chi-2, and Spearman’s correlation tests.

Results:

Average age of the participants was 34.52 ± 7.70 including 55.6% men and 44.4% women. In the present study, organizational climate of employees was medium and high, and also, mean score of the organizational commitment of subjects was 66.11 ± 16.35. The highest amount of employees job burnout was related to low level (66%). Organizational climate among the employees lead to higher organizational commitment (r=0.472, P<0.001), and greater organizational climate and commitment contributes significantly towards a decrease in job burnout (r=-0.227, P<0.001; r=-0.335, P<0.001).

Conclusion:

If the managers of these deputies pay more attention to the importance of the services of the health staff and manpower employed in this organization, they can improve the organizational commitment of healthcare workers and prevent their burnout, in order to maximize the quality of service delivery.

Application of a TiO2 nanocomposite in earplugs: a case study of noise reduction

Background. Use of hearing protection devices has become necessary when other control measures cannot reduce noise to a safe and standard level. In most countries, more effective hearing protection devices are in demand. Objective. The aim of this study was to examine the effects of titanium dioxide (TiO₂) nanoparticles on noise reduction efficiency in a polyvinyl chloride (PVC) earplug. Methods. An S-60 type PVC polymer as the main matrix and TiO₂ of 30-nm size were used. The PVC/TiO₂ nanocomposite was mixed at a temperature of 160 °C and 40 rpm and the samples were prepared with 0, 0.2 and 0.5 wt% of TiO₂ nanoparticle concentrations. Results. Earplug samples with PVC/TiO₂ (0.2, 0.5 wt%) nanoparticles, when compared with raw earplugs, showed almost equal noise attenuation at low frequencies (500-125 Hz). However, at high frequencies (2-8 kHz), the power of noise reduction for earplugs containing TiO₂ nanoparticles was significantly increased. Conclusions. The results of the present study showed that samples containing nanoparticles of TiO₂ had more noticeable noise reduction abilities at higher frequencies in comparison with samples without the nanoparticles.