Health Research Articles

School-induced fatigue: Theoretical analysis of the concept of school burnout

School burnout is a set of detrimental symptoms that include emotional exhaustion, cynicism, and reduced personal accomplishment. In children and adolescents it is associated with many physical and mental health problems, including heart diseases, hormonal disorders, disrupted sleep quality, depressive symptoms, and diminished life satisfaction. It corresponds with a higher likelihood of poor academic performance and drop-out rates. The text includes a theoretical analysis of factors corresponding with the development and maintenance of school burnout. The data presented in the literature proves that students dealing with extreme schoolwork overload, accompanied with poor time management, and unrealistic goals, faced with excessive family demands, experiencing disturbances in sleep habits, poor eating habits, and limited or no physical exercise are more prone to develop and sustain symptoms of school burnout. Besides the excessive workload and problems in relationships with parents and peers among risk factors there are usually mentioned feelings of lack of control over things, high demands, and pressure an individual experiences. Protective factors include social support and a positive school atmosphere. Application of knowledge concerning school burnout in real educational settings may result in increase of well-being and resilience of students, and decrease in symptoms of mental problems. It will also help create a meaningful school environment.

Effectiveness of Walking Exercise in Improving Physical Fitness and Depression in Patients With Schizophrenia.

Patients with schizophrenia often lack physical activity, which, together with physical complications, can lower their expected lifespan. Exercise strengthens their physical and mental health. The primary aim of this study was to examine the effectiveness of a walking exercise intervention in improving physical fitness, body mass index, waist-to-hip ratio, and depressive symptoms in patients with schizophrenia. A quasi-experimental study design was used. Seventy-six participants were recruited from the psychiatric daycare center at a hospital in Northern Taiwan. They were divided into two groups. The intervention group received a walking exercise intervention, while the control completed their daily courses at the psychiatric daycare center. The changes in both groups' physical fitness, BMI, waist-to-hip ratio, and depressive symptoms were monitored. Cardiorespiratory endurance significantly improved in the intervention group, attesting to the effectiveness of the walking exercise intervention. Their depression level significantly decreased across all measurement stages. The group walking exercise reduced sedentary behaviors and increased the participants' autonomous motivation, hip circumference, and cardiorespiratory fitness. Structured exercise programs may increase the patients' hippocampal neuroplasticity and reduce their depressive symptoms. The walking exercise intervention positively affected physiological traits, physical fitness, and mental health of the participants.

Image-Based Fitness Yoga Pose Recognition: Using Ensemble Learning and Multi-head Attention

With the increasing awareness of fitness, more and more people are choosing to participate in fitness activities. Yoga, as a form of exercise that improves both physical and mental health, is becoming increasingly popular worldwide. In order to assist yoga practitioners in more effective training through automated or semi automated systems, improve training effectiveness, assist professional athletes in training through intelligent recognition systems, correct movements, and improve athletic performance. This paper proposes a method that addresses the low accuracy issue of current yoga pose recognition algorithms by integrating multi-head attention mechanism and ensemble learning. Firstly, the Mixup algorithm is used to enhance yoga movement images. Subsequently, convolutional features are extracted from the images using the ResNet101 and VGGNet19 transfer learning models. Finally, the extracted convolutional features are combined and stacked using a multi-head attention mechanism. Model training, validation, and testing are performed using the Soft target cross-entropy loss function. Experimental results demonstrate that the proposed method achieves a training accuracy of 100%, a validation accuracy of 89.94%, a testing accuracy of 93.79%, and a detection speed of 297 frames per second. Overall, this method demonstrates high stability and robustness, providing a technological foundation for intelligent recognition of yoga poses.

The impact of cancer prevention education on the mental health of college students based on the difference-in-differences method

Background and objectiveCancer, as the second leading cause of death worldwide, poses significant challenges to human health and socio-economic development. In recent years, the incidence of cancer has shown a trend toward younger populations, drawing attention to cancer prevention education among college students. However, research on the specific impact of cancer prevention education on the mental health of college students is limited. This study aims to explore the impact of cancer prevention education on the mental health of college students, revealing the mediating role of disease awareness and the moderating roles of psychological resilience and cultural differences.MethodsA difference-in-differences (DID) approach was used, involving 1,670 freshmen from a Chinese university, divided into an experimental group (n = 835) and a control group (n = 835). The experimental group received a semester-long cancer prevention education program. Data were collected monthly from November 2022 to June 2023 using the Depression Anxiety Stress Scales (DASS-21) and a custom Disease Awareness Scale.ResultsThe study found a significant improvement in mental health scores among the experimental group, with an average increase of 14.738 points on the DASS-21 scale (p < 0.001), representing a 23% reduction in stress, anxiety, and depression levels compared to the control group. Disease awareness in the experimental group improved by 17%, as measured by the Disease Awareness Scale, with a mediation effect of 3.563 points (p < 0.001). Furthermore, psychological resilience and cultural differences moderated the impact of the education program, with those scoring higher in resilience showing an additional 8% improvement in mental health scores (moderation effect = 0.892, p < 0.001), and cultural differences accounting for a 5% variance (moderation effect = 0.756, p < 0.001) in the outcomes.ConclusionThis study demonstrates that systematic and scientific cancer prevention education has a significant positive impact on the mental health of college students. Universities should promote comprehensive and personalized health education strategies to improve disease awareness, foster psychological resilience, and emphasize cultural differences, thereby enhancing the overall physical and mental health of college students and promoting their holistic development. This finding provides important empirical support and theoretical basis for the design and implementation of health education in universities.

Effectiveness of surfing on psychological health in military members: a systematic review

IntroductionSurfing, a leisure activity known for its positive physical and mental health effects, has emerged as a potential therapeutic intervention. This study aims to systematically review the available evidence on...

Psychedelic research, assisted therapy and the role of the anaesthetist: A review and insights for experimental and clinical practices.

Recent years have witnessed an unprecedented increase in the search for the use of psychedelics in improving physical and mental health. Anaesthesia has evolved since very early times, born from the need to eliminate pain and reduce suffering and there are reports of the use of anaesthetics to achieve mystical states since the nineteenth century. Nowadays, the renaissance of psychedelics in anaesthesia has been inspired by their potential in the treatment of chronic pain syndromes, palliative care and in the emergency department and pre-hospital care with the administration of psychedelics in cases of ischaemia, given their potential in neuroprotection. Although there are already some published protocols for the administration of psychedelics in patients with mental illness, little has been addressed concerning non-mental medical applications. In this sense, in patients with multiple comorbidities, functional limitations and polymedicated, the anaesthetist may play a fundamental role, not only in clinical practice, but also in translational research. This article focuses on the description of psychedelics, with a particular focus on dimethyltryptamine (DMT) and ayahuasca pharmacology, effects, safety and toxicity. A detailed description of the role of the anaesthetist in clinical and experimental research is provided, from participant's screening to preparation and dosing session, expected adverse effects and how to manage them, based on the protocol and standard procedures of a current study with neuroimaging during the psychedelic experience. Specific considerations regarding the management of psychedelic toxicity are also provided as well as future directions for safe psychedelic use in clinical practice.

The influence of hope and optimism on trajectories of COVID-19 stress, health anxiety, and wellbeing during the COVID-19 pandemic.

The COVID-19 pandemic posed a threat to public health and psychological functioning, with early studies documenting higher rates of psychopathology within the United States and globally. Hope and optimism promote adjustment and are associated with positive physical and mental health outcomes. Thus, individual differences in hope and optimism may also foster resilience during a global health crisis. The current study examined how hope and optimism influenced longitudinal health-focused distress and wellbeing during the pandemic. Data were collected from 788 American adults across three periods during Spring-Summer 2020 using MTurk. Latent growth curve modeling examined whether hope and optimism predicted COVID stress, health anxiety, and wellbeing trajectories. COVID stress and health anxiety decreased after the onset of the pandemic, whereas wellbeing was stable. Individually, hope and optimism predicted lower initial COVID stress and health anxiety, along with greater initial wellbeing. When examining the combined influence of hope and optimism, optimism was more strongly related to health-focused distress, though both were strong predictors of wellbeing. These findings indicate that Americans were resilient and positive expectancies, particularly optimism, predicted better initial adjustment to the early phases of the pandemic. Thus, positive expectancies appear to be protective during a global health crisis.

Phthalate Esters in Water and Surface Sediments of Anambra River in Dry Season: Distribution and Human Health Risks Assessment

This study investigated phthalate ester (PAE) contamination in water and sediment samples due to their persistence and potential health risks as endocrine disruptors. Sediment analysis revealed pH ranged from 5.35 to 6.72, with total organic carbon (TOC) levels varying between 0.74% and 2.56%. Water pH values were within WHO guidelines (5.5–8.5), and turbidity levels ranged from 0.60 to 1.40 NTU. Phthalate concentrations in sediment revealed Monobutyl phthalate (MBP), Diethyl phthalate (DEP), Dipentyl phthalate (DPP), Butyl benzyl phthalate (BBP), Dibutyl phthalate (DBP), and Di(2-ethylhexyl) phthalate (DEHP). Sample SA exhibited the highest levels of MBP (0.40 mg/kg) and DEP (0.93 mg/kg). In water samples, MBP peaked at 0.01 mg/kg, while DEP reached 0.03 mg/kg, with DBP (0.07 mg/kg) and DEHP (0.08 mg/kg) also detected. Phthalate contamination in water remained below harmful thresholds. A health risk assessment calculated Chronic Daily Intake (CDI) and Hazard Quotients (HQ) for both children and adults. CDI results indicated higher risks for children, with DBP (2.20E-06 mg/kg/day) and DEHP (2.46E-06 mg/kg/day) showing the greatest concern. The HQ for children was highest for DBP (0.22), though still below the risk threshold. Adults exhibited lower CDI and HQ values, with minimal non-carcinogenic risk. These findings highlight the need for continued monitoring of phthalate pollution, especially given children’s heightened vulnerability.

Gut bacteria: an etiological agent in human pathological conditions

Through complex interactions with the host’s immune and physiological systems, gut bacteria play a critical role as etiological agents in a variety of human diseases, having an impact that extends beyond their mere presence and affects the onset, progression, and severity of the disease. Gaining a comprehensive understanding of these microbial interactions is crucial to improving our understanding of disease pathogenesis and creating tailored treatment methods. Correcting microbial imbalances may open new avenues for disease prevention and treatment approaches, according to preliminary data. The gut microbiota exerts an integral part in the pathogenesis of numerous health conditions, including metabolic, neurological, renal, cardiovascular, and gastrointestinal problems as well as COVID-19, according to recent studies. The crucial significance of the microbiome in disease pathogenesis is highlighted by this role, which is comparable to that of hereditary variables. This review investigates the etiological contributions of the gut microbiome to human diseases, its interactions with the host, and the development of prospective therapeutic approaches. To fully harness the benefits of gut microbiome dynamics for improving human health, future research should address existing methodological challenges and deepen our knowledge of microbial interactions.

Effects of Prebiotic Dietary Fibers on the Stimulation of the Mucin Secretion in Host Cells by In Vitro Gut Microbiome Consortia

The gastrointestinal microbiota are important for human health. Dietary intake may modulate the composition and metabolic function of the gut microbiome. We examined how the breakdown of prebiotic dietary fibers by the gut microbiome affects mucin secretion by intestinal epithelial cells. Metagenomic analyses of in vitro gut microbiome consortia revealed taxonomic profiles and genetic diversity of carbohydrate-active enzymes that digest polysaccharides. Two independent consortia exhibited different abilities to produce acetic acid, propionic acid, and butyric acid via the fermentation of polysaccharides derived from dietary fibers of grains and mushrooms. Although acetic acid generally had the highest concentration, the ratios of butyric acid and propionic acid to acetic acid varied depending on the polysaccharide source. These short-chain fatty acids affected morphological differentiation and mucin secretion in HT-29 human intestinal epithelial cells. These results suggest that prebiotic dietary fibers can be digested and metabolized by the gut microbiome to short-chain fatty acids, which can affect gut epithelial cells both directly and indirectly via the modulation of the gut microbiota and their enzymes.

Population-Level Exposure to PM2.5, NO2, Greenness (NDVI), Accessible Greenspace, Road Noise, and Rail Noise in England

Air pollution, greenspace and noise are interrelated environmental factors with the potential to influence human health outcomes. Research has measured these exposures in diverse ways across the globe, but no study has yet performed a country-wide analysis of air pollution, greenspace, and noise in England. This study examined cross-sectional PM2.5, NO2, greenness, accessible greenspace, road noise, and rail noise exposure data at all residential postcodes in England (n = 1,227,681). Restricted cubic spline models were fitted between each environmental exposure and a measure of socioeconomic status, the Index of Multiple Deprivation (IMD) rank. Population-weighted exposures by IMD deciles, urbanicity, and region were subsequently estimated. Restricted cubic spline models were also fitted between greenness and each other environmental exposure in the study. The results show some evidence of inequalities in exposure to air pollutants, greenspace, and noise across England. Notably, there is a socioeconomic gradient in greenness, NO2, PM2.5, and road noise in London. In addition, NO2, PM2.5, and road noise exposure decrease as greenness increases in urban areas. Concerningly, almost all air pollution estimates in our study exceed international health guidelines. Further research is needed to elucidate the socioeconomic patterns and health impacts of air pollution, greenspace, and noise over time.

Rapid and highly sensitive detection of trace chromium and copper in tea infusion using laser-induced breakdown spectroscopy combined with electrospinning technology

Tea infusion, as one of the most popular beverages, is favored by people around the world. However, tea plants accumulate heavy metals from the soil during growth, which are gradually transferred to the leaves and subsequently decomposed into the tea infusion after soaking in hot water. Long-term consumption of tea infusion containing heavy metals may lead to severe health issues, such as liver dysfunction and cancer. Therefore, rapid, precise, and highly sensitive detection of heavy metals in tea infusion becomes crucial for human health. Traditional methods, such as atomic absorption spectroscopy (AAS), suffer from long detection cycles, high costs, and the risk of secondary pollution from chemical extraction reagents. Thus, this paper presents a method, using laser-induced breakdown spectroscopy combined with electrospinning technology (LIBS-ES), to detect trace amounts of Cr and Cu in tea infusion. The electrospun nanofiber membranes (ENM) were modified with gold nanoparticles (AuNPs) and silver nanoparticles (AgNPs), achieving ultra-sensitive detection of Cr and Cu. The experiment results show that the limits of detection for Cr and Cu are 5 μg/L and 10 μg/L, respectively. Moreover, this method was successfully applied to the detection of Cr and Cu in seven different types of tea infusion, achieving recovery rates of 99 %-106 % and 99 %-108 %, respectively. The method demonstrated good performance even under the interference of other ions at various concentrations, providing a reference for the rapid and highly sensitive detection of heavy metals in tea infusion.

Development of a Benzophenone-Free Red Propolis Extract and Evaluation of Its Efficacy against Colon Carcinogenesis

Background/Objectives: Brazilian red propolis has attracted attention for its pharmacological properties. However, signs of toxicity were recently observed in long-term studies using the hydroalcoholic extract of red propolis (RPHE), likely due to polyprenylated benzophenones. This study aimed to develop a benzophenone-free red propolis extract (BFRP) and validate an HPLC-PDA method to quantify its main constituents: isoliquiritigenin, vestitol, neovestitol, medicarpine, and 7-O-methylvestitol. Methods: BFRP’s toxicity was assessed in zebrafish larvae through a vibrational startle response assay (VSRA) and morphological analysis. Genotoxicity was evaluated using the micronucleus test in rodents, and the extract’s effects on chemically induced preneoplastic lesions in rat colon were studied. An HPLC-PDA method was used to quantify BFRP’s main compounds. Results: BFRP primarily contained vestitol (128.24 ± 1.01 μg/mL) along with isoliquiritigenin, medicarpin, neovestitol, and 7-O-methylvestitol. Zebrafish larvae exposed to 40 µg/mL of BFRP exhibited toxicity, higher than the 10 µg/mL for RPHE, though no morphological differences were found. Fluorescent staining in the notochord, branchial arches, and mouth was observed in larvae treated with both BFRP and RPHE. No genotoxic or cytotoxic effects were observed up to 2000 mg/kg in rodents, with no impact on hepatotoxicity or nephrotoxicity markers. Chemoprevention studies showed a 41.6% reduction in preneoplastic lesions in rats treated with 6 mg/kg of BFRP. Conclusions: These findings indicate that BFRP is a safe, effective propolis-based extract with potential applications for human health, demonstrating reduced toxicity and chemopreventive properties.

Recent Progress on Perovskite Materials for VOC Gas Sensing.

Volatile organic compound (VOC) gases are highly hazardous to human health, and their presence in the human breath plays an indispensable role for the early diagnosis of various diseases (cancer, renal failure, etc.). In recent times, perovskite materials have shown notable performance in the detection of VOC gases with high accuracy, fast response, recovery time, selectivity, and sensitivity, owing to their unique crystallographic structures and excellent optoelectronic properties. In this Review, we look at recent reports on perovskite-based sensors and their sensing performance toward VOC gases. Here, we focus on the sensing mechanisms of two types of perovskite materials, metal halide and metal oxide perovskites, and explain the differences in their crystal structures. We also discuss the common preparation methods used by researchers for the synthesis of these perovskite materials. Further, we elucidate various important factors influencing the sensing performance of perovskite-based sensors, such as doping, defects, morphology, temperature, humidity, and light. We conclude with the future prospects and challenges related to these perovskite-based sensors toward the detection of VOC gases.

Cell line-based in vitro models of normal and chronic bronchitis-like airway mucosa to study the toxic potential of aerosolized palladium nanoparticles

BackgroundPhysiologically relevant cell line-based models of human airway mucosa are needed to assess nanoparticle-mediated pulmonary toxicity for any xenbiotics expsoure study. Palladium nanoparticles (Pd-NP) originating from catalytic converters in vehicles pose health risks. We aimed to develop in vitro airway models to assess the toxic potential of Pd-NP in normal (Non-CB) and chronic bronchitis-like (CB-like) mucosa models.MethodsBronchial mucosa models were developed using Epithelial cells (16HBE: apical side) co-cultured with fibroblast (basal side) at an air-liquid interface. Furthermore, both Non-CB and CB-like (IL-13 treatment) models with increased numbers of goblet cells were used. The models were exposed to 3 different doses of aerosolized Pd-NP (0.2, 0.3, and 6 μg/cm2) using XposeALI® and clean air as a control. After 24 h of incubation, the expression of inflammatory (IL6, CXCL8, TNFα, and NFKB), oxidative stress (HMOX1, SOD3, GPx, and GSTA1), and tissue injury/repair (MMP9/TIMP1) markers was assessed using qRT–PCR. The secretion of CXCL-8 and the expression of a tissue injury/repair marker (MMP-9) were measured via ELISA.ResultsSignificantly (p < 0.05) increased expressions of CXCL8, IL6, and NFKB were observed at the highest dose of Pd-NP in CB-like models. However, in Non-CB mucosa models, a maximum effect on TNFα and NFKB expression was observed at a medium Pd-NP dose. In Non-CB mucosa models, SOD3 showed a clear dose-dependent response to Pd-NP exposure, while GSTA1 expression was significantly increased (p < 0.05) only at the lowest dose of Pd-NP. The secretion of CXCL-8 increased in a dose-dependent manner in the Non-CB mucosa models following exposure to Pd-NP. In CB-like models, exposure to high concentrations of Pd-NP significantly increased the release of MMP-9 compared to that in other exposure groups.ConclusionThe combination of our Non-CB and CB-like mucosa models with the XposeALI® system for aerosolized nanoparticle exposure closely mimics in vivo lung environments and cell-particle interactions. Results from these models, utilizing accessible cell lines, will maximize the reliability of in vitro findings in human health risk assessment.

Ecological Implications of Seasonal Variations in Physicochemical Parameters and Phytoplankton Community in an Effluent‐Receiving Wetland in the Gulf of Guinea, Cameroon

ABSTRACTPhysicochemical parameters, chlorophyll a (Chl a) concentration, and phytoplankton community structure were assessed in the Wouri estuarine mangrove sector of the Douala Bassa Industrial Zone of Cameroon over two seasons. Three sets of water samples were collected from 10 sites for these analyses. Some physicochemical parameters were measured in situ using multiparameter equipment (HANNA 8289). The data were subjected to analyses of significant difference by an independent sample t‐test. Correlation and principal component analysis conducted between variables Temperature, salinity, total dissolved solids (TDS), resistivity, and turbidity showed a strong seasonal variation among sites. Mean Chl a concentration (3.7–48.29 µg/L for dry and 0.1–20.1 µg/L for rainy season) revealed that most sites were eutrophic, with the Euglenophycean index less than 1 in all the sites. Phytoplankton species richness exhibited seasonal and spatial variation, with a total of 74 taxa and 51 taxa for the dry and rainy seasons, respectively. The division Bacillariophyta was the most abundant, with 19 families and 24 species during the dry season and 17 families and 16 species during the rainy season. Other phytoplankton divisions present included Chlorophyta > Cyanophyta > Charophyta > > Myzozoa > Euglenophyta in the dry season; the less diverse divisions in the rainy season were Rhodophyta > Cryptophyta > Xanthophyta > Euglenophyta. High concentrations of nutrients and the presence of eutrophic species such as Microcystis aeruginosa suggest pollution and a need to monitor activities carried out along the water course with respect to the quantity and quality of industrial effluents discharged into the stream. The observed eutrophication explains the noxious odor across the city of Douala, especially during the dry season. The human health implications could be severe, with communities dependent on this contaminated stream for fish and other necessities a scenario that repeats itself in communities dependent on urban wetlands in industrial zones globally.

Prioritization of chemical food safety hazards in the European feed supply chain.

Extensive monitoring programs of chemical hazards in the animal feed chain are in place, both organized by public and private organizations. The objective of this review was to prioritize chemical hazards for monitoring in the European animal feed supply chain. A step-wise approach was designed for the prioritization, based on: historical occurrence of the chemicals in animal feed ingredients and animal feeds (in relation to European guidance values or maximum limits in feed); information on transfer of the chemical to edible animal products, and; the extent of human dietary intake of the products and possible adverse human health effects of the chemical. Possible prioritization outcomes were: high (H), medium (M), or low (L) priority for monitoring, or classification not possible (NC) because of limited available data on the transfer of the chemical to edible animal tissues. The selection of chemicals included (with results in parentheses): dioxins and polychlorinated biphenyls (H); brominated flame retardants (H); per- and polyfluorinated alkyl substances (H); the heavy metals arsenic (H) and cadmium (H) as well as lead (M) and mercury (M); aflatoxins (H), ochratoxin A (NC), and other mycotoxins (L); pyrrolizidine alkaloids (H) and other plant toxins (NC); organochlorine pesticides (H) and other pesticides (L); pharmaceutically active substances (M); hormones (NC); polycyclic aromatic hydrocarbons (L), heat-induced processing contaminants (NC), and mineral oils (NC). Results of this study can be used to support risk-based monitoring by food safety authorities and feed-producing companies in Europe.

Chinese herbal formula in the treatment of metabolic dysfunction-associated steatotic liver disease: current evidence and practice

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as nonalcoholic fatty liver disease, continues to rise with rapid economic development and poses significant challenges to human health. No effective drugs are clinically approved. MASLD is regarded as a multifaceted pathological process encompassing aberrant lipid metabolism, insulin resistance, inflammation, gut microbiota imbalance, apoptosis, fibrosis, and cirrhosis. In recent decades, herbal medicines have gained increasing attention as potential therapeutic agents for the prevention and treatment of MASLD, due to their good tolerance, high efficacy, and low toxicity. In this review, we summarize the pathological mechanisms of MASLD; emphasis is placed on the anti-MASLD mechanisms of Chinese herbal formula (CHF), especially their effects on improving lipid metabolism, inflammation, intestinal flora, and fibrosis. Our goal is to better understand the pharmacological mechanisms of CHF to inform research on the development of new drugs for the treatment of MASLD.

Wearable EEG-Based Brain–Computer Interface for Stress Monitoring

Detecting stress is important for improving human health and potential, because moderate levels of stress may motivate people towards better performance at cognitive tasks, while chronic stress exposure causes impaired performance and health risks. We propose a Brain–Computer Interface (BCI) system to detect stress in the context of high-pressure work environments. The BCI system includes an encephalogram (EEG) headband with dry electrodes and an electrocardiogram (ECG) chest belt. We collected EEG and ECG data from 40 participants during two stressful cognitive tasks: the Cognitive Vigilance Task (CVT), and the Multi-Modal Integration Task (MMIT) we designed. We also recorded self-reported stress levels using the Dundee Stress State Questionnaire (DSSQ). The DSSQ results indicated that performing the MMIT led to significant increases in stress, while performing the CVT did not. Subsequently, we trained two different models to classify stress from non-stress states, one using EEG features, and the other using heart rate variability (HRV) features extracted from the ECG. Our EEG-based model achieved an overall accuracy of 81.0% for MMIT and 77.2% for CVT. However, our HRV-based model only achieved 62.1% accuracy for CVT and 56.0% for MMIT. We conclude that EEG is an effective predictor of stress in the context of stressful cognitive tasks. Our proposed BCI system shows promise in evaluating mental stress in high-pressure work environments, particularly when utilizing an EEG-based BCI.

Determining the perceived risk of lung cancer and chronic obstructive pulmonary diseases (COPD) among hookah users in Iran.

Hookah consumption is harmful to human health and can cause various diseases. Developing lung cancer and other lung diseases are one of the health consequences of hookah consumption. Measuring the perceived risk for being diagnosed with these conditions among hookah users is necessary. Therefore, this study was conducted to determine the perceived risk of lung cancer and Chronic Obstructive Pulmonary Disease (COPD) in hookah users in Iran. This cross-sectional study was conducted with a descriptive-analytical approach on 340 hookah users between January-May 2023. These people were recruited through convenience sampling. The information on the perceived risk of participants was collected through a questionnaire on the perceived risk of lung cancer and COPD. Data were analyzed through descriptive tests and multiple linear regression tests. These analyses were performed using Stata statistical software version 17. The mean and standard deviation of the perceived risk for lung cancer was 8.41 ± 5.50 and for COPD was 8.51 ± 5.58 out of 20 possible scores. The results of multiple linear regression generally showed that the using other type of tobacco (β = 3.14, p < 0.0001), 2 or more use of hookah in past month (β=-3.41, p = 0.025), unskilled workers (β = 1.79, p = 0.017), married smokers (β=-1.31, p = 0.026), negative attitude toward hookah (β = 0.46, p < 0.0001) were the predictive variables regarding to lung cancer perceived risk. In line with COPD the using other type of tobacco (β = 3.47, p < 0.0001), once a month use of hookah in past month(β=-3.74, p = 0.041) and twice or more use of hookah in past month (β=-4.82, p = 0.008), smokers in contemplation stage (β = 3.91, p < 0.0001), female smokers (β = 3.08, p < 0.0001), unskilled workers (β = 2.42, p = 0.007), negative attitude toward hookah (β = 0.46, p < 0.0001) were the predictive variables to COPD perceived risk. In general, the perceived risk of developing lung cancer and COPD among hookah users was low. Therefore, it is necessary to provide widespread information about the potential harm of hookah in causing lung cancer and COPD, at the community level.