Search Results (377)

Solar ultraviolet radiation (UVR) is classified as a Group 1 carcinogen and poses a significant occupational hazard to outdoor workers. Despite preventive guidelines, adherence to protective measures remains inconsistent. This systematic review identified the protective measures adopted by healthy outdoor workers and assessed their adherence to and the effectiveness of these measures. Following the PRISMA 2020 statement, the review searched Scopus, Web of Science, and PubMed for peer-reviewed studies published between 2015 and 2025. Eligible studies included at least 100 healthy participants and evaluated preventive or protective measures against solar UVR. Independent reviewers extracted data and assessed risk of bias using the McMaster Critical Review Form. From 17,756 records, 51 studies met the inclusion criteria after screening and a subsequent snowballing process. The identified protective strategies clustered into physical, behavioural, and organisational categories. Adherence ranged from low to moderate, with structured interventions and employer support improving compliance. Sunscreen use remained low due to perceived inconvenience and lack of provision. Overall, the evidence revealed substantial variability in implementation and effectiveness across occupations. Strengthened regulations and integrated interventions combining education, personal protective equipment, and organisational measures are essential. Future research should prioritise longitudinal designs and objective indicators such as biomarkers and dosimetry. Full article

Background/Objectives: The aim of this study was to assess the short-term and long-term effectiveness of group voice therapy in changing vocal behaviour and improving voice quality (VQ) among teachers with hyperfunctional voice disorders (HFVD), using both subjective and objective measures. Methods: Thirty-one teachers participated in a structured group voice therapy programme. Participants underwent videoendostroboscopic evaluation of laryngeal morphology and function, perceptual assessment of voice, acoustic analysis of voice samples, and aerodynamic measurements of phonation. Patients’ self-assessment of VQ and its impact on quality of life were measured using a Visual Analogue Scale (VAS) and the Voice Handicap Index-30 (VHI-30). Evaluations were conducted at four time points: pre-therapy (T0), immediately post-therapy (T1), and at 3-month (T3) and 12-month (T12) follow-up visits. Results: Significant improvement was observed between T0 and T1 in perceptual voice evaluations: grade, roughness, asthenia, strain, loudness, fast speaking rate, as well as in neck muscle tension, shimmer, patients’ most harmful vocal behaviours, VHI-30 scores, patients VQ evaluation, and its impact on quality of life (all p < 0.05). Almost all parameters of subjective and objective voice assessment improved over the 12-month observation period, with the greatest improvement between T0 and T12 (all p < 0.05), indicating lasting reduced laryngeal tension and improved phonatory efficiency. Conclusions: Group voice therapy has been shown to be an effective treatment for teachers with HFVD, leading to significant and long-lasting improvements in perceptual, acoustic, and self-assessment outcomes. Therapy also promoted healthier vocal and lifestyle behaviours, supporting its role as a successful and cost-effective rehabilitation and prevention method for occupational voice disorders. Full article

Gender discrimination is a pervasive and multifaceted phenomenon rooted in cognitive, emotional, and social mechanisms that operate across individual, interpersonal, and structural levels. This umbrella review synthesizes systematic reviews and meta-analyses published between 2013 and 2024 examining the relationship between gender, stereotypes, and discrimination. Following PRISMA 2020 guidelines, searches were conducted across PubMed/MEDLINE, Scopus, and Web of Science, yielding 22 eligible reviews after screening 684 records. Thematic synthesis identified two overarching domains: manifestations of discrimination and health and professional outcomes. Discrimination emerged as structural, interpersonal, and implicit, operating through institutional barriers, microaggressions, and stereotyping mechanisms. These dynamics were found to significantly affect mental health, and particularly anxiety, depression, and psychological distress, as well as physical health, including cardiovascular outcomes and maternal morbidity. Professional and social functioning were also impaired, with gender-based inequalities documented in pay, promotion, and role allocation across multiple occupational contexts. Despite consistent evidence of harm, the literature revealed limited consensus in conceptualization and a lack of longitudinal and intervention research. Collectively, findings underscore that gender discrimination constitutes both a public health concern and a systemic social mechanism that shapes individual cognition, emotion, and behaviour, demanding multi-level psychological and policy responses. Full article

Background: Tick-borne encephalitis (TBE) virus is transmitted to humans via tick bites and occasionally via the consumption of unpasteurized milk products. According to the literature, the most important driver of TBE emergence and increase in incidence in humans is changes in human behaviour/activities. Method and principal findings: To compensate for the lack of data, expert opinions were gathered to identify the risk factors for exposure to tick bites linked to twenty-eight human activities (professional or recreational) in forests and to target prevention messages at the populations most at risk. Opinions were elicited from a total of twenty-five European experts. Seven criteria were included in the analysis for each activity: frequency, seasonality, duration of exposure, distance covered, degree of contact with vegetation, speed and average level of protection against tick bites. The activities considered to be the most at risk of exposure to tick bites are, in descending order: three occupational activities (forest monitoring activities, forestry and wood industry activities and scientific and/or analytical activities), five recreational activities and one hunting activity (mushroom picking, spending the night in the forest, hunting, naturalist activities, orienteering, and berry or fruit picking). Conclusions and significance: Prevention messages regarding tick bites could be targeted at people who engage in activities considered in this analysis to be at highest risk of exposure to tick bites. Full article

Background: Midwives, despite their health-promoting role, face factors that may disrupt eating behaviours and weight regulation. Little is known about their body weight perception or disordered eating attitudes (DEAs). This study assessed body weight perception and eating attitudes across BMI categories among Polish midwives. Methods: A cross-sectional survey of 568 midwives was conducted. BMI was calculated from self-reported measures and classified according to WHO criteria. Body weight perception was assessed using discrepancies between actual and ideal body weight and between self-perceived ideal body weight and ideal body weight. Long-term weight variability was additionally evaluated using the difference between maximum and minimum adult body weight. Eating attitudes were examined using the Polish version of the EAT-26. Group differences were analysed with the Kruskal–Wallis and χ² tests. Results: Among the participants, 62.9% had normal weight, 23.4% were overweight, and 13.7% were obese. Perceived ideal body weight increased with BMI (p < 0.001). Midwives with overweight and obesity demonstrated higher EAT-26 scores than those with normal BMI, with EAT-26 > 20 observed in 8.3% of overweight and 14.1% of obese participants (p = 0.010). Overweight and obese midwives also showed larger discrepancies between actual and ideal body weight and greater lifetime weight variability, and these groups simultaneously presented higher levels of disturbed eating attitudes. Emotional eating, binge-type episodes, and dieting behaviours were more common among overweight and obese participants, while calorie awareness remained consistently high across groups. Conclusions: Midwives with excess body weight often misperceive their body size and show an elevated risk of DEA. Weight perception appears more strongly related to maladaptive eating patterns than BMI alone. These findings highlight the need for targeted, non-stigmatising interventions addressing weight perception, eating attitudes, and occupational stressors, which may support both midwives’ well-being and their professional effectiveness in delivering nutrition and lifestyle counselling. Full article

On-demand public transport systems are increasingly adopted to improve service flexibility, reduce operating costs, and meet emerging mobility needs. Evaluating their performance under realistic demand and operational conditions, however, remains a complex challenge. This study presents a hybrid simulation framework that integrates deep learning-based demand forecasting, behavioural survey data, and agent-based simulation to assess system performance. A BiLSTM neural network trained on real-world smartcard data forecasts short-term passenger demand, which is embedded into an agent-based model simulating vehicle dispatch, routing, and passenger interactions. The framework is applied to a case study in Melbourne, Australia, comparing a baseline fixed-route service with two on-demand scenarios. Results show that the most flexible scenario reduces the average passenger trip time by 32%, decreases the average wait time by 34%, increases vehicle occupancy from 12.1 to 18.6 passengers per vehicle, lowers emissions per passenger trip by 72%, and cuts the service cost per trip from AUD 6.82 to AUD 4.73. These findings demonstrate the potential of hybrid on-demand services to improve operational efficiency, passenger experience, and environmental outcomes. The study presents a novel, integrated methodology for scenario-based evaluation of on-demand public transportation using real-world transportation data. Full article

Reducing energy demand and carbon emissions in residential buildings requires more than technological upgrades; it demands a nuanced understanding of occupant behaviour. Residential energy use is shaped by both physical design and human actions, yet behavioural factors remain underexplored, contributing to the energy performance gap. This study addresses this issue by developing and validating a behavioural framework grounded in the Theory of Planned Behaviour (TPB) to examine how attitudes, social norms, perceived control, and environmental awareness influence energy-related decisions. Data were collected through an online survey of 310 households in metropolitan Sydney and analysed using Stata v17 software employing principal component analysis and regression modelling. Results reveal that environmental awareness is the most significant predictor of pro-environmental intention, which strongly correlates with actual behavioural outcomes. While attitudes and perceived control were generally positive, subjective norms and awareness remained moderate, limiting behavioural change. The proposed framework demonstrates strong validity and reliability, offering a practical tool for policymakers, designers, and educators to integrate behavioural insights into sustainable building strategies. By prioritising awareness campaigns and normative interventions, stakeholders can complement technical retrofits with behavioural measures, accelerating progress towards low-carbon housing and benefiting both households and the broader community. Full article

This study evaluates and compares the sustainability performance of selected historic, commercial, and institutional buildings in Istanbul to identify effective climate-responsive and energy-efficient design strategies. The objectives are to assess performance using LEED-based criteria, examine variations across building typologies, and outline implications for future sustainable design. Using an evaluation matrix, responses from 175 experts were analysed across key LEED categories for seven case study buildings. The comparative assessment reveals notable variations in sustainability performance across the seven evaluated buildings. ERKE Green Academy consistently achieved the highest mean scores (≈4.40–4.60), particularly in Sustainable Sites, Water Efficiency, Energy and Atmosphere, and Indoor Environmental Quality. This strong performance reflects its integration of advanced green technologies, optimised daylighting strategies, biophilic elements, and smart system controls. Modern commercial towers, such as the Allianz Tower and Sapphire Tower, recorded strong mean scores (≈4.20–4.50) across categories related to Integrative Design, Energy Efficiency, and Materials and Resources. Their performance is largely driven by intelligent façade systems, double-skin envelopes, automated shading, and high-performance mechanical systems that enhance operational efficiency. In contrast, heritage buildings including Hagia Sophia and Sultan Ahmed Mosque demonstrated moderate yet stable performance levels (≈4.00–4.40). Their strengths were most evident in Indoor Environmental Quality, where passive systems such as thermal mass, natural ventilation, and inherent spatial configurations contribute significantly to occupant comfort. Overall, the findings underscore the complementary value of combining traditional passive strategies with modern smart technologies to achieve resilient, low-energy, and user-responsive architecture. This study is novel as it uniquely demonstrates how traditional passive design strategies and modern smart technologies can be integrated to enhance climate-responsive and energy-efficient performance across diverse building typologies. The study recommends enhanced indoor air quality strategies, occupant education on system use, and stronger policy alignment with LEED standards. Full article

Poor nutrition knowledge and unhealthy eating habits are major contributors to the global rise in non-communicable diseases. Despite the abundance of nutrition information, many individuals struggle with adopting and maintaining healthy eating patterns. This study assessed the association between nutrition knowledge and eating habits among healthcare workers (HCWs) at a tertiary hospital in the Limpopo province of South Africa. A cross-sectional, descriptive study was conducted among 303 healthcare workers. The data collection period was from the 18 of April to the 5 of May in 2023. Data were collected using a self-administered questionnaire consisting of three sections: demographic information, nutrition knowledge, and eating habits. Descriptive and inferential statistics were applied, with a significance level set at p ≤ 0.05. More than half of the participants (n = 165; 55%) demonstrated a moderate level of nutrition knowledge (scores of 60–79%), while 113 (37%) had a high level of knowledge (80–100%) and 25 (8%) had a low level of knowledge (<60%). Only 16% of participants reported healthy eating habits, while 84% reported unhealthy eating habits. A statistically significant association was observed between occupation and nutrition knowledge (p < 0.05), with medical doctors showing higher knowledge levels than nurses and allied health professionals. No significant association was found between nutrition knowledge and eating habits (p > 0.05). Notably, even participants with high nutrition knowledge did not consistently report healthy eating behaviours. Although most healthcare workers possessed moderate to high nutrition knowledge, this was not consistently reflected in their eating practices. Future research should explore factors influencing the gap between nutrition knowledge and eating behaviour among healthcare professionals. Full article

Occupational safety in high-risk sectors, such as mining, depends heavily on understanding and predicting workers’ behavioural risks. However, existing approaches often overlook the psychological dimension of safety, particularly how psychological-contract violations (PCV) between miners and their organizations contribute to unsafe behavior, and they rarely leverage interpretable artificial intelligence. This study bridges that gap by developing an explainable AutoML framework that integrates AutoGluon, SHAP, and LIME to classify miners’ safety behaviors using psychological and organizational indicators. An empirically calibrated synthetic dataset of 5000 miner profiles (20 features) was used to train multiclass (Safe, Moderate, and Unsafe) and binary (Safe and Unsafe) classifiers. The WeightedEnsemble_L2 model achieved the best performance, with 97.6% accuracy (multiclass) and 98.3% accuracy (binary). Across tasks, Post-Intervention Score, Fatigue Level, and Supervisor Support consistently emerge as high-impact features. SHAP summarizes global importance patterns, while LIME provides per-case rationale, enabling auditable, actionable guidance for safety managers. We outline ethics and deployment considerations (human-in-the-loop review, transparency, bias checks) and discuss transfer to real-world logs as future work. Results suggest that interpretable AutoML can bridge behavioural safety theory and operational decision-making by producing high-accuracy predictions with transparent attributions, informing targeted interventions to reduce unsafe behaviours in high-risk mining contexts. Full article

Multi-objective optimisation is essential for balancing building energy efficiency and thermal comfort. Existing research primarily focuses on passive optimisation strategies that assume fixed behavioural patterns of a ‘rational occupant’. However, these studies often overlook the impact of stochastic occupant behaviour on building energy efficiency and thermal comfort. Furthermore, they fail to consider the inherent randomness, variability, dynamic nature, and feedback mechanisms of individual actions. As a result, this oversight can lead to suboptimal energy efficiency, insufficient thermal comfort, and a poor user experience. This study examines a naturally ventilated research building equipped with split-type air conditioning in China’s hot summer and cold winter climate zone. The research develops a rapid prediction model for air conditioning (AC) energy consumption and thermal comfort based on actual HVAC behaviours, incorporating the AC and natural ventilation (NV) operation schedules. The model utilises Artificial Neural Networks (ANNs), importance analysis, and batch simulation. Furthermore, a multi-objective optimisation decision-making model is developed to balance building AC energy consumption and indoor environmental thermal comfort, using the NSGA-II algorithm. The results indicate that when building design parameters comply with the current energy-saving design standards, behavioural optimisation can lead to a 31.4% reduction in energy use for building AC systems while enhancing thermal comfort by 37.5%. Furthermore, by implementing integrated optimisation strategies, comfort can be improved by as much as 92.6% without raising energy consumption. Full article

The global drive toward sustainability and energy efficiency has accelerated the development of smart buildings integrating the Internet of Things (IoT) and Artificial Intelligence (AI). These technologies optimise energy use, enhance occupant comfort, and advance building management systems. This study examines the integration of IoT and AI in energy-efficient smart buildings, emphasising applications and challenges. A qualitative methodology, combining systematic literature review, case study analysis, and systems analysis, underpins the research. Findings indicate that IoT enables smart metering, real-time energy monitoring, automated lighting and HVAC, occupancy-based energy optimisation, and renewable energy integration. AI complements these functions through predictive maintenance, energy forecasting, demand-side management, intelligent climate control, indoor air quality automation, and behaviour-driven analytics. Together, they reduce carbon emissions, lower operational costs, and improve occupant well-being. However, challenges remain, including data security and privacy risks, interoperability gaps, scalability and cost constraints, and retrofitting difficulties. To address these, the paper proposes a systems thinking-enabled conceptual framework structured around three pillars: adopting IoT and AI as enabling technologies, overcoming integration barriers, and identifying application areas that advance sustainability in smart buildings. This framework supports strategic decision-making toward net-zero and resilient building design. Full article

Work-related musculoskeletal disorders (WMSDs) and psychological stress remain major occupational health challenges among teaching professionals in adult education, yet their interconnected causes are often underexplored. This narrative review aims to identify multifactorial risk factors that contribute to these conditions and to propose a comprehensive framework that enhances understanding of teaching professionals’ well-being. A systematic synthesis of recent epidemiological and occupational health studies was conducted to analyse both immediate and underlying determinants across human, workplace, organisational, and socioeconomic dimensions. The findings reveal that more than two-thirds of teaching professionals experience WMSDs, particularly in the neck and lower back, while psychological stress affects over seventy percent globally. The combined effects of poor ergonomics, prolonged static postures, excessive workload, and limited organisational support contribute significantly to both physical and psychological strain. Broader contextual influences such as job insecurity, insufficient institutional resources, and societal undervaluation further intensify these risks. The review identifies a reciprocal relationship between physical discomfort and psychological distress, where each condition amplifies the other through behavioural and physiological mechanisms. The proposed integrative framework establishes a foundation for targeted interventions and evidence-based policy, promoting a shift toward holistic, system-oriented approaches to occupational health for teaching professionals in professional education settings. Full article

Public housing tenants in many countries have multiple challenges, often including socioeconomic disadvantage, family health and disability limitations, and compromised potential to earn income. An understanding of this group’s travel behaviours is particularly salient when policies to limit carbon emissions are being considered because such policies can exacerbate transport inequities. The current study makes use of an ongoing national travel survey in New Zealand that uses in-person interviews. We studied travel behaviours from neighbourhoods with mostly public housing tenants compared to other areas with no, or low numbers of, public housing tenants. Respondents from public-housing-intensive areas tended to be younger, have lower incomes, have more dependent children, have fewer household vehicles, and reside in areas with the highest levels of socioeconomic deprivation, all features that are known to affect travel patterns. The public-housing-intensive areas had a much higher proportion of trips made as passengers and hence higher levels of car occupancy than people living in other areas. The distance driven per person was less than half that of other areas, as were carbon emissions per person arising from private vehicle travel. Public housing providers and transport planners need to collaborate so that public housing is close to public transport and active transport facilities to allow tenants ready access. Public housing tenants are likely to suffer aspects of transport poverty, and where policies designed to limit carbon emissions increase the price of fossil-fuelled private car travel, other affordable and accessible transport options need to be available. Full article

Sensors are a key component of virtual reality (VR) technology, as they enable motion tracking, interaction with the environment, and realistic representation of user behaviour in virtual space. VR technology is gaining increasing importance in engineering, offering new ways to support research, analysis, and training. This article examines its applications in four key areas: surveying and geomatics, mining, environmental protection, and occupational safety. The study is based on a review of the scientific literature indexed in the Scopus database, with the aim of highlighting both the potential of VR and directions for its future development. The findings indicate that VR provides effective tools for analyzing, interpreting, and visualizing complex geospatial data. It enables realistic simulations of mining processes, supports the monitoring of environmental impacts, and facilitates environmental education by creating engaging, immersive experiences. In occupational safety, VR allows hazard scenarios and accident events to be reproduced in a safe yet highly realistic environment, significantly enhancing the effectiveness of training. This is made possible through the integration of sensors with virtual reality, further enhancing immersion in the environment. Despite these advantages, several barriers have been identified. They include technological challenges, insufficient numbers of trained specialists, health and ergonomics concerns, resistance to organizational change, ethical considerations, and limited funding. It is clear that the future of VR in engineering will be shaped by continuous technological progress combined with growing attention to behavioural aspects of training and user interaction. These trends are expected to drive the creation of increasingly advanced and effective tools. The article thus provides a foundation for further exploration of VR as an integral part of engineering practice. Full article