Search Results (2,788)

Background: Headaches are a common symptom in healthcare workers (HCWs), mainly associated with high levels of stress. Different research has studied their incidence during the COVID-19 pandemic, most of them with correlational designs, and at the beginning of the pandemic and focused on the associated occupational variables. Aims: (1) To analyze the incidence of headaches in HCWs at the beginning of the COVID-19 pandemic and their maintenance six months later. (2) To explore the risk factors associated with their onset and maintenance, including sociodemographic, occupational, emotional symptomatology, and personality variables. (3) To propose a model to explain the chronification of stress in burnout, including the moderating role of chronic headaches. Methods: A prospective study (n = 259 HCWs) at three points in time during the COVID-19 pandemic, from the alarm state phase (T1: May–June 2020) to the post-pandemic stage (T3: April–July 2022), including an intermediate measure six months after T1 (T2). Descriptive analyses, Pearson’s chi-square, Student’s t, logistic regressions, and moderated mediation models were conducted using the Process package for SPSS. In addition to headaches, socio-demographic, occupational, emotional symptomatology, and personality variables were included. Results: At T1 the prevalence of headaches was 69.9%. At T2 the prevalence was 73.7%. Of these, 59.5% are T1–T2 sustained headaches. Headaches at T1 were associated with age (p = 0.010) (younger HCWs), professional category (p = 0.049) (nurses), service (p = 0.023) (ICU, COVID hospitalization), non-availability of PPE (p = 0.010), additional COVID-19 symptomatology (p < 0.001), and concern for contagion of family members (p < 0.001) (higher scores). In addition, HCWs with headaches had higher levels of stress (p = 0.001), anxiety (p = 0.001), depression (p = 0.041), and sleep disorders (p < 0.001). A subsequent logistic regression analysis showed that of the above variables, the presence of additional COVID-19 symptoms (p < 0.001) and depression (p = 0.010) were the predictor variables. With regard to the maintenance of headaches (T1–T2), anxiety (p = 0.035), stress (p = 0.001), and cognitive fusion (p = 0.013) were found to be the significant variables. The tested model proposes anxiety (T1) as antecedent, cognitive fusion (T2) as mediator, burnout (T3) as consequent, and chronic headaches (yes/no) as the moderating variable between anxiety and burnout (model 5). The model is significant (F = 19.84, p < 0.001) and contributes to the explanation of 36% of the variance of burnout. The relationships in the model are all statistically significant, and specifically chronic headaches contribute to a 6-fold increase in the likelihood of burnout. Conclusions: The present research differentiates between precipitating and maintenance factors of headaches in HCWs. The former, more studied in previous research, are usually related to sociodemographic and occupational variables and levels of anxiety and stress. Maintenance factors, scarcely explored, are related to the maintenance of emotional symptomatology and the inability to manage intrusive thoughts (i.e., cognitive fusion). Of particular interest is that the presence of chronic headaches itself is capable of producing burnout as a post-COVID syndrome. Full article

Cysticercosis is a parasitic infection and neglected tropical disease caused by Taenia solium, or the pork tapeworm. Cysticercosis with central nervous system involvement, or neurocysticercosis, is a leading cause of chronic headaches and epilepsy in endemic regions, including Latin America and Asia. In the United States, the epidemiology of cysticercosis has not been well described. We conducted a cross-section serosurvey of Mexican-American adults residing along the Texas–Mexico border (Starr County, Texas) and identified an overall seroprevalence of 7.4% (45/605) for cysticercosis. Brain imaging studies conducted on seropositive study participants identified lesions consistent with calcified neurocysticercosis in 2 of the 45 seropositive individuals. Female sex (p = 0.021), employment in healthcare, caregiving, or social service (p = 0.002), and indoor occupation (p < 0.001) were found to be significantly associated with seropositivity. Further study is needed to evaluate the burden of neurocysticercosis and local transmission risk in this community. Full article

Ergonomics is essential to improving workplace safety and efficiency by reducing the risks associated with physical tasks. This study presents a decision support system (DSS) aimed at enhancing production ergonomics in the construction sector through an analysis of high-risk postures. Using the Ovako Work Posture Analysis System (OWAS), the Revised NIOSH Lifting Equation (NIOSH equation) and Rapid Entire Body Assessment (REBA), the DSS identifies ergonomic risks by assessing body postures across common construction tasks. Three specific postures—X, Y and Z—were selected to represent typical construction activities, including lifting, squatting and repetitive tool use. Posture X, involving a forward-leaning stance with arms above the shoulders and a 25 kg load, was identified as critical, yielding the highest OWAS and NIOSH values, thus indicating an immediate need for corrective action to mitigate risks of musculoskeletal injuries. The DSS provides recommendations for workplace adjustments and posture improvements, demonstrating a robust framework that can be adapted to other postures and industries. Future developments may include application to other postures and sectors, as well as the use of artificial intelligence to support ongoing ergonomic assessments, offering a promising solution to enhance Occupational Safety and Health policies. Full article

Background: Musculoskeletal (MSK) disorders significantly contribute to global disability, especially in high-income countries. Yet, comprehensive studies on their epidemiological burden in the United States (US) are limited. Our study aims to fill this gap by characterizing the MSK disease burden in the US using Global Burden of Disease (GBD) data from 1990 to 2019. Methods: We conducted an ecological study using descriptive statistical analyses to examine age-standardized prevalence and disability-adjusted life years (DALY) rates of MSK disorders across different demographics and states. The study also assessed the impact of risk factors segmented by age and sex. Results: From 1990 to 2019, the burden of MSK disorders in the US increased significantly. Low back pain was the most prevalent condition. Age-standardized prevalence and DALY rates increased by 6.7% and 17.6%, respectively. Gout and other MSK disorders saw the most significant rise in DALY rates. Females experienced higher rates than males, and there were notable geographic disparities, with the District of Columbia having the lowest and North Dakota and Iowa the highest DALY rates. Smoking, high BMI, and occupational risks emerged as primary risk factors. Conclusions: Our study highlights the escalating burden of MSK disorders in the US, revealing significant geographic and sex disparities. These findings highlight the urgent need for targeted health interventions, policy formulation, and public health initiatives focusing on lifestyle and workplace modifications. Region- and sex-specific strategies are crucial in effectively managing MSK conditions, considering the influence of various risk factors. Full article

This letter addresses errors in the statistical analysis found in a paper addressing pulmonary diffusing capacity and decompression sickness. Our re-analysis could not confirm any of the significant statistical contrasts described for the bubble data, invalidating the speculation on the relationships between bubble scores and decompression sickness. Full article

Asbestos is a naturally occurring mineral renowned for its exceptional tensile strength, chemical resistance, and low thermal and electrical conductivity. Due to these properties, it has been widely used in various industries. However, asbestos exposure is strongly linked to severe health conditions, including lung cancer, mesothelioma, and asbestosis. Although over 70 countries have banned asbestos-containing materials, significant health risks persist due to ongoing use and poor management practices in many regions. To mitigate these risks, robust occupational health measures are essential. These include safe removal protocols, comprehensive worker training, proper use of personal protective equipment (PPE), regular exposure monitoring, rigorous compliance checks, and severe penalties for non-compliance. Moreover, effective asbestos waste management and the development of advanced disposal technologies are essential to reducing risks. Public awareness campaigns, regulatory enforcement, and a global ban on asbestos production, use, and export are also necessary, particularly in countries where asbestos is still in use. Lessons from asbestos management in Australia and New Zealand provide valuable insights for nations currently dealing with asbestos issues. This paper reviews current practices in asbestos surveying, removal, and disposal, comparing them to the stringent regulatory frameworks in Australia and New Zealand. It highlights strategies that can be adopted globally to ensure safer management and complete elimination of asbestos. Full article

Background/Objectives: Maternal mental health problems such as stress, anxiety, and depression (SAD) in antenatal women are major public health challenges. This study aimed to determine the levels of SAD in antenatal women and associate the selected variables with them. Methods: A cross-sectional study was conducted in selected primary health centers (PHC) in Al-Ahsa, Saudi Arabia. The pregnant women were selected using systematic randomization, and their SAD levels were assessed using the perceived stress scale (PSS), the state anxiety scale (SAS), and the patient health questionnaire (PHQ-9), respectively. Linear regression was used to associate factors related to stress, anxiety, and depression. Results: Out of 346 antenatal women, 4% had a high level of stress and 27.2% had a moderate level of stress. Regarding the level of anxiety, 2.6% of them had high anxiety, and 32.9% had moderate anxiety. Around 32 (9.2%) women had moderate depression, and 4 (1.2%) had severe depression. The mean score of SAD was 11.99, 28.88, and 4.73, respectively. A linear regression proved that there was an association between stress and age, occupation, gestational age (GA), gravida, para, abortions, and social support (SS) (p < 0.05). Anxiety was associated with age, GA, gravida, para, abortions, past obstetrical complications, and SS (p < 0.05). Depression was related to age, education, occupation, para, abortions, past obstetrical complications, and SS (p < 0.05). Conclusions: Due to the prevalence of SAD in pregnancy, the screening of these conditions and awareness creation about the associated factors can help to identify potential risks earlier and prevent maternal and fetal complications. Full article

Background: The primary flame retardants in vehicles, organophosphates (OPEs) and polybrominated diphenyl ethers (PBDEs), volatilize and accumulate in the enclosed vehicle environment, posing potential health risks. Amidst the rising number of vehicles, the scrutiny of persistent organic pollutants like OPEs and PBDEs in vehicles is increasing. This study investigates occupational and nonoccupational population exposure to specific OPEs (TnBP, TBOEP, TEHP, TCEP, TCiPP, TDCiPP, TPhP, EHDPP) and PBDEs (BDE-28, BDE-47, BDE-99, BDE-100, BDE-153, BDE-154, BDE-183, BDE-209) in vehicle dust. Methods: Data on OPEs and PBDEs in vehicle dust were sourced from PubMed and Web of Science. We applied PCA and PMF to identify pollutant sources and assessed health risks using the hazard index (HI) and carcinogenic risk (CR) methods. Monte Carlo simulations were conducted for uncertainty analysis, evaluating variable contributions to the results. Results: The predominant OPE in dust samples was TDCiPP (mean value: 4.34 × 10⁴ ng g⁻¹), and the main PBDE was BDE-209 (mean value: 1.52 × 10⁴ ng g⁻¹). Potential sources of OPEs in vehicle dust include polyvinyl chloride (PVC) upholstery, polyurethane foam (PUF) seats, electronics, carpet wear, hydraulic oil, and plastic wear in the brake system. PBDE sources likely include automotive parts, PVC upholstery, seats, carpets, and electronics. The 90th percentile HI and CR values for occupational and nonoccupational populations exposed to OPEs and PBDEs indicate that the noncarcinogenic and carcinogenic risks are relatively low. A sensitivity analysis showed that the pollutant concentration, time in the vehicle, exposure frequency, and duration significantly influence health risks. Conclusions: The health risks to both occupational and nonoccupational populations from exposure to OPEs and PBDEs in vehicle dust are relatively low. Full article

Artificial intelligence (AI) technologies with human-level cognitive abilities are increasingly integrated into workplaces, posing risks of job displacement and redundancy. Understanding AI’s impact on job automation is thus essential, as it helps students understand which occupational roles are likely to be automated. However, there is a lack of coherent understanding of this topic due to the diverse research methodologies deployed, leading to the formation of fragmented and inconsistent insights. This article reviews career literature and global reports from expert sources (e.g., the World Economic Forum) to provide an overview of AI’s influence on job sectors and the skills students need to thrive in a technologically disrupted workplace. The findings emphasize the importance of developing human-centric skills. Full article

This study examines the association between the location, relative to the coast, of an individual’s primary residence and the homeowners’ risk tolerance. Utilizing data from the 2021 National Financial Capability Study and employing a probit model, we analyzed how varying risk tolerance levels affect the likelihood of owning a home in a coastal ZIP code. The respondent’s risk tolerance was classified as high, medium, or low according to their self-reported willingness to take financial risks. Our results suggest that individuals with lower risk tolerances are less likely to own a home within a coastal ZIP code. Specifically, homeowners with medium-risk tolerance are 2.91% less likely, and those with low-risk tolerance are 3.17% less likely to own a primary residence in a coastal ZIP code when compared to those with high-risk tolerance. These results are statistically and economically similar when using a logit model. These findings are both statistically significant and align with economic theory. The analysis also included various demographic and socioeconomic factors, finding that age, income, and certain employment statuses influence coastal homeownership. This research contributes to the understanding of home ownership location choices and risk tolerance. Our results provide policymakers with insights into the risk characteristics of individuals who prefer coastal areas as their primary residences. This information can inform future policy decisions by highlighting the societal and economic implications of regulations related to residential coastal development. Full article

Background/Objectives: Home and community care (HCC) nurses experienced increased occupational challenges during the COVID-19 pandemic, including increased workloads, job stressors, and occupational risks, like virus exposure. The objective of this study was to elucidate what factors influenced nurses’ decisions to stay in their role, take a temporary leave, or exit HCC during the COVID-19 pandemic. Methods: A secondary analysis of data collected using a cross-sectional online open survey distributed among HCC Registered Practical Nurses across Ontario between June and September 2022 was conducted. The factors contributing to nurses’ decision to remain in HCC, temporarily leave, or exit the sector were evaluated using multinomial logistic regression (p < 0.05). Results: Of the 664 participants, 54% (n = 357) stayed in the HCC sector, 30% (n = 199) temporarily left, and 16% (n = 108) exited the sector. Nurses with greater years of experience working in HCC and those who avoided infection were more likely to stay in their role in HCC, which may reflect strong relationships with long-term clients, opportunity and accumulated experience to increase income, and maintenance of good health. Nurses with higher levels of emotional intelligence were more likely to take leaves and exit HCC, suggesting that stepping away may have been a strategy to safeguard themselves. Conclusions: HCC leadership should prioritize the development of solutions to support nurses in the HCC workforce, including those with fewer years of experience. This may promote nurses’ participation in the sector, particularly during times of heightened occupational challenges and crises, like COVID-19. Full article

The emergence of modern robotic technology and artificial intelligence (AI) enables a transformation in the textile sector. Manual fabric defect inspection is time-consuming, error-prone, and labor-intensive. This offers a great possibility for applying more AI-trained automated processes with safe human–robot interaction (HRI) to reduce risks of work accidents and occupational illnesses and enhance the environmental sustainability of the processes. In this experimental study, we developed, implemented, and tested a novel algorithm that detects fabric defects by utilizing enhanced deep convolutional neural networks (DCNNs). The proposed method integrates advanced DCNN architectures to automatically classify and detect 13 different types of fabric defects, such as double-ends, holes, broken ends, etc., ensuring high accuracy and efficiency in the inspection process. The dataset is created through augmentation techniques and a model is fine-tuned on a large dataset of annotated images using transfer learning approaches. The experiment was performed using an anthropomorphic robot that was programmed to move above the fabric. The camera attached to the robot detected defects in the fabric and triggered an alarm. A photoelectric sensor was installed on the conveyor belt and linked to the robot to notify it about an impending fabric. The CNN model architecture was enhanced to increase performance. Experimental findings show that the presented system can detect fabric defects with a 97.49% mean Average Precision (mAP). Full article

The COVID-19 pandemic drove the use of cleaning products, causing organic solvent contamination in hospitality environments. This pilot study investigated the presence and concentrations of volatile organic compounds (VOCs) in selected hotels in four different US cities with varying star ratings at the end of the pandemic period. Targeting 139 VOCs, 57 were detected across eight groups: alcohols, halocarbons, aromatics, alkanes, terpenes, carbonyls, ethers, and esters, in the indoor air. Alcohols were the most prevalent, especially in lower-rated hotels, suggesting higher use of cleaning supplies. Elevated levels of aromatics were detected in hotels rated under three stars, with a notable disparity compared to higher-rated hotels. Additionally, alkanes and terpenes such as n-tetradecane and d-limonene were consistently detected. Health risk assessment showed concentrations of all VOCs remained below their health criteria for customers. The cumulative cancer risk was 2.25 × 10⁻⁶ for hotel workers from chronic occupational exposure to eight carcinogenic VOCs, representing 1/3 of the lifetime risk from these chemicals in the ambient air. Cancer risks from individual VOCs ranged from 0.001 × 10⁻⁶ to 1.07 × 10⁻⁶, with chloroform accounting for nearly half of the cumulative risk. The findings underscore the need for careful selection and use of furnishings and cleaning supplies and for effective indoor air pollution control and management in hotel indoor environments. Full article

Background: This study examines the impact of the COVID-19 pandemic on abdominal trauma management by comparing pre-pandemic (17 February 2018–26 February 2020) and pandemic periods (27 February 2020–7 March 2022). Methods: Analyzing data from 118 patients at the Emergency County Clinical Hospital of Craiova, we identified significant shifts in clinical practices affecting patient outcomes. Results: During the pandemic, a moderate increase in surgical interventions for specific abdominal traumas indicated the effective adaptation of the medical system. Prioritizing critical cases and deferring non-urgent procedures optimized limited resources. Demographic and clinical factors—including age, sex, body mass index (BMI), and red cell distribution width (RDW)—significantly influenced the hospitalization duration and recovery outcomes. Gender disparities in mortality lessened during the pandemic, possibly due to standardized interventions and the physiological effects of SARS-CoV-2. The link between occupation and obesity highlighted how work environments impact trauma severity, especially as lifestyle changes affect BMI. While age remained a major predictor of mortality, its influence slightly decreased, potentially due to improved protocols for elderly patients. RDW emerged as an important prognostic marker for disease severity and mortality risk. Conclusions: Employing advanced co-occurrence analysis enhanced with machine learning, we uncovered complex relationships between clinical and demographic variables often overlooked by traditional methods. This innovative approach provided deeper insights into the collective impact of various factors on patient outcomes. Our findings demonstrate the healthcare system’s rapid adaptations during the pandemic and offer critical insights for optimizing medical strategies and developing personalized interventions in global crises. Full article

The COVID-19 pandemic has underscored the urgency of understanding virus transmission dynamics, particularly in indoor environments characterized by high occupancy and suboptimal ventilation systems. Airborne transmission, recognized by the World Health Organization (WHO), poses a significant risk, influenced by various factors, including contact duration, individual susceptibility, and environmental conditions. Respiratory particles play a pivotal role in viral spread, remaining suspended in the air for varying durations and distances. Experimental studies provide insights into particle dispersion characteristics, especially in indoor environments where ventilation systems may be inadequate. However, experimental challenges necessitate complementary numerical modeling approaches. Zero-dimensional models offer simplified estimations but lack spatial and temporal resolution, whereas Computational Fluid Dynamics, particularly with the Discrete Phase Model, overcomes these limitations by simulating airflow and particle dispersion comprehensively. This paper employs CFD-DPM to simulate airflow and particle dispersion in a coach bus, offering insights into virus transmission dynamics. This study evaluates the COVID-19 risk of infection for vulnerable individuals sharing space with an infected passenger and investigates the efficacy of personal ventilation in reducing infection risk. Indeed, the CFD simulations revealed the crucial role of ventilation systems in reducing COVID-19 transmission risk within coach buses: increasing clean airflow rate and implementing personal ventilation significantly decreased particle concentration. Overall, infection risk was negligible for scenarios involving only breathing but significant for prolonged exposure to a speaking infected individual. The findings contribute to understanding infection risk in public transportation, emphasizing the need for optimal ventilation strategies to ensure passenger safety and mitigate virus transmission. Full article