Workplace Incidents Research Articles

Adding Eye-Movement Desensitisation and Reprocessing (EMDR) Therapy to a Workforce Wellbeing Model

ABSTRACT Children and young people who live in out-of-home care (OoHC) can display aggressive behaviours when their emerging self-regulation and executive functioning systems are overwhelmed. Consequently, their carers can experience incidents that may cause some carers’ ongoing stress symptoms. Early intervention with occupational health supports is important; however, including a specific trauma treatment such as Eye-Movement Desensitisation and Reprocessing (EMDR) is unusual. EMDR supports the resolution of stress symptoms and helps carers promote a stable home environment. Stability contributes to calm home environments and incident reduction. The purpose of this mixed methods study was to better understand the inclusion of EMDR into a workforce wellbeing model and explore changes in incident numbers in houses, staff retention, and time-loss injury. Interviews with senior managers and focus groups with therapeutic practitioners from two Australian states were conducted. Descriptive statistics for administrative data were calculated after a quantitative audit. Several programs including EMDR and occupational health policies were working towards enhanced workplace safety. A reduction in the monthly average incident rate from 11.9 (2019–2020) to 6.9 (2022–2023) was identified. Offering an effective treatment to staff that promotes wellbeing, retention, and stability in care homes may be a critically important policy recommendation for organisations with staff at risk of traumatic incidents. IMPLICATIONS Eye -Movement Desensitisation and Reprocessing (EMDR) is an effective trauma therapy that works for residential out-of-home care staff. EMDR enhances carers’ emotional wellbeing and capacity when working with the young people in their care. More stable relationships between carers, children, and young people can lead to reductions in stressful workplace incidents and a more stable workforce.

Analysis of the effectiveness and user experience of employing virtual reality to enhance the efficacy of occupational safety and health learning for electrical workers and graduate students

IntroductionThe integration of engineering approaches in education and training is pivotal for reducing workplace incidents. Effective safety education increases workers' awareness of potential risks and fosters a robust Occupational Safety and Health (OSH) culture. Virtual reality (VR) offers immersive experiences that enhance the efficacy of safety training. MethodThis study evaluated VR's effectiveness through two experiments that demonstrated improved learning capacities. The first study employed quantitative methods and quasi-experiments with electrical sector technical support professionals. The second study used a qualitative approach with scenario case studies involving graduate students. ResultsThe quantitative study revealed significant improvements in OSH understanding among electrical workers, highlighting VR-based training's superiority over traditional methods. The qualitative study found positive outcomes in VR usability and user experience among graduate students, affirming VR's effectiveness in OSH education. ConclusionVR has proven to be an effective and efficient training tool for both graduate students and experienced workers. It significantly advances skills, knowledge, and proficiency in electrical engineering by providing realistic, immersive, and tailored learning experiences. As VR technology continues to evolve, its role in shaping the future of electrical technical education and training appears increasingly promising.

Frequency of workplace incidents and injuries in veterinarians, veterinary nurses and veterinary students and measures to control these.

Veterinarians, veterinary nurses and veterinary students work and train in a variety of environments and are exposed to a wide range of hazards. (1) To compare the rate of health and safety incidents and injuries between veterinarians, veterinary nurses and veterinary students. (2) To investigate the health and safety hazard controls present in Australian veterinary workplaces. A cross-sectional study, using an online questionnaire. Anonymous links to the questionnaire were disseminated to Australian veterinarians, veterinary nurses and veterinary students. A total of 494 veterinarians, 484 veterinary nurses and 212 veterinary students completed the survey. Incidents and injuries were common, particularly sharps-related injuries and animal bites. Australian veterinary nurses and veterinarians experienced the studied incidents at similar rates to each other. Veterinary students experienced some incidents and injuries at rates higher than both veterinarians and veterinary nurses, including heatstroke, hypothermia, sunburn, electric shock, loss of consciousness, being rammed or pushed over by an animal and farm equipment injuries. Of the workplace hazard controls reported, first aid boxes were most commonly present, and safety meetings occurred least commonly. Veterinary nurses received Q fever and rabies vaccines much less frequently than veterinarians and veterinary students. This study demonstrated that improvements need to be made to the occupational health and safety standards in the Australian veterinary sector. Veterinarians and veterinary nurses had suboptimal rates of access to many of the required and critical workplace health and safety controls. Improvements to the standard of health and safety training of veterinary students are indicated, given their higher rates of certain incidents and injury.

Just a head knock? Emergency physicians need to get serious about concussion.

Attention and awareness regarding concussion injury in Australia have significantly increased in the last decade. Although most of this increase is because of discussion regarding concussions from sporting endeavours, the majority of concussions are from non-sport environments including motor vehicle crashes, workplace incidents, falls, accidents, assault and intimate partner violence. In all cases, hospital EDs are the first point of contact, yet as argued in our Opinion here, there are concerns regarding the consistency of care protocols, because of a number of reasons, as well as management and follow-up clinical practices. Our Opinion is to provide a constructive discussion as well as calling for ACEM to support research to provide evidence-based data. Finally, we provide some recommendations that could be implemented immediately to improve clinical practice for presentations of concussion injuries in EDs.

Utilizing Digital Transformation Technology at Construction Sites to Mitigate Workplace Incidents and Enhance Safety Practices within the Construction Sector

The Objectives of this project work is to look into the DT digital transformation of the construction sector, more specifically to the impacts of AI for workers and work-environment safety. The scope converges on the more tangible consequences of safety rather than health and focuses on the impact on safety roles and performance as well as implications for jobs and collaborative dynamics between construction organizations. The thesis pushes forward the current state of safety performance and collaborative relationships both in theory as much as in practice and stresses the shift of performance measurements and success factors for the former as well as the roles and goals for the latter. The construction sector is a considerable contributor to a country's economy. For example, there are more than 300 000 people employed in the construction sector in INDIA. Unfortunately, workers’ safety is a big problem in this high-employment sector since the potential risk for injury is high. In INDIA workers in the construction industry are among the most injured, both in terms of work-related accidents and occupational injuries. With more technology advances, there has been an increasing interest in the construction sector regarding new technologies in recent years which also includes occupational safety and health technologies. The results provide a list of different types of safety technologies that have been investigated previously and a versatile overview of safety technology's development process, adoption process, and facilitators and barriers for a successful adoption. This study points out the benefits of utilizing safety technologies and provides extensive information regarding the adoption of safety tools that could encourage engaged actors in the field to strive for more safety technologies which could lead to a safer work environment and healthy worker

Significant increase in the number of occupational exposures reported to the Dutch Poisons Information Centre (2016–2022): the importance of poison centre data in health surveillance

Introduction Exposure to hazardous substances in the workplace can result in injuries and fatalities. This study aimed to investigate the characteristics and trend of occupational exposures reported to the Dutch Poisons Information Centre and to investigate whether the COVID-19 pandemic had an impact on the trend. Methods A retrospective analysis of all acute occupational exposures reported to the Dutch Poisons Information Centre between 1 January 2016 and 31 December 2022 was performed. Data on patient and exposure characteristics, symptoms and treatment recommendations were analyzed. Results Between 2016 and 2022, the Dutch Poisons Information Centre received 5,508 calls regarding acute occupational exposures. The annual number of calls on acute occupational exposures almost doubled over the years studied (from 475 in 2016 to 936 in 2022). During and after the COVID-19 pandemic (March 2020-December 2022), the number of calls stabilized, but the upward trend was not significantly affected. There were an estimated 0.20 calls per 1,000 human exposure calls per month (95 per cent confidence interval: −0.14; 0.53). Victims were often exposed through multiple routes, with inhalation being the most common route (44 per cent), followed by ocular (32 per cent) and dermal contact (30 per cent). Acids (1,138 exposures) and alkalis (912 exposures) were often involved. The Dutch Poisons Information Centre had information on 6,334 patients, although the total number of exposed patients was not known as some victims did not seek medical assistance, or were treated by healthcare professionals who did not consult our Centre. At the time of contact, 13 per cent (n = 795) of the patients reported no symptoms, 76 per cent (n = 4,805) reported mild to moderate symptoms and 3 per cent (n = 183) reported potentially severe symptoms. Information on symptoms was missing for 9 per cent (n = 551) of the patients. Hospital observation and treatment were recommended for 5 per cent (n = 325) of the patients. Discussion This study highlights the necessity for poisoning prevention strategies to reduce the number of work-related incidents involving hazardous substances. Conclusion The continuing increase in the number of workplace incidents involving hazardous substances is of concern. A comprehensive and multidisciplinary approach should be taken to gain a full understanding of occupational exposure to hazardous substances and to identify risk factors.

The Framework of Construction Workers Safety: Evaluating the Effectiveness of Safety Practices in Construction Industry

Abstract: This study aims to investigate the multifaceted approach to safety and health management practices within the construction industry, with the ultimate goal of delineating their impact on reducing workplace incidents and enhancing overall safety culture. In order to achieve this goal, a mixed-methods research design is employed, which combines quantitative data from structured surveys across a diverse sample of construction sites with qualitative insights from in-depth interviews and case studies. The findings of the analysis reveal a significant correlation between the frequency and comprehensiveness of safety training programs and a reduction in incident rates. Furthermore, the adoption of advanced safety technologies and equipment, coupled with a strong organizational safety culture, is found to be a pivotal factor in improving safety outcomes. The study also highlights the importance of customizing safety practices to the unique needs of different construction projects to optimize effectiveness.

Application of Machine Learning Modeling for the Upstream Oil and Gas Industry Injury Rate Prediction

Introduction: Yearly, the International Labor Organization report indicates many workplace accident occurrences. The degree of the happenings depends on the workplace environment setting and the incident regulatory measures implemented. By the nature of its work environment, the oil and gas upstream sector is susceptible to high incident rates. In the current fierce business competition and practices, improving productivity, quality, and other processes, such as Safety, is vital. Implementing well-designed safety procedures is the key to managing and reducing the risk level of workplace incidents. Methods: Recently, the application of Machine learning (ML) modeling for accident/injury prediction has been reported in the construction, mining, transport, and health sectors. Likewise, the objective of this paper was to implement three machine-learning-based models to predict injury rates in a drilling operation. The petroleum safety authority of Norway provided the datasets. First, the dataset was pre-processed, and then the selected features and target dataset were used for the modeling. Finally, the model prediction and performance accuracy analysis were performed. Results: Results showed that multivariable regression (MVR), Random Forest (RF), and Artificial Neural Network (ANN) machine learning algorithms-based models predict the test data with R2 values of 0.9576, 0.793, and 0.97036, respectively. Conclusion: As the common saying goes, 'prevention is better than cure.' For this, implementing methods such as improved work processes and Health, Safety, and Environment (HSE) mitigation procedures, workplace injuries, and accidents allow for reducing the risk level of workplace injuries. The application of integrated machine learning tools, along with carefully built-in workplace accident database implementation, will provide early detection and possible remedial precautions that can be taken to prevent workplace injuries/accidents/fatalities. However, extensive research and development are required to deploy the method in real life. Combining Machine Learning modeling and carefully designed safety measures is vital for successful and robust predictive tools.

Assessment of safety climate perception of maintenance workers during major overhauls, outages, shutdowns or turnarounds (MoOSTs)

AbstractMaintenance activities are used to sustain the reliability of physical industrial assets. However, studies indicate that some of the most devastating industrial accidents are attributable to poor safety perceptions of maintenance workers, especially during major overhauls, outages, shutdowns or turnarounds (MoOSTs). Typical MoOSTs involve the harmonisation of regular maintenance endeavours on a large scale, which in turn heighten risks of accidents and costs. Furthermore, MoOSTs are performed over short durations thereby necessitating parallel high‐risk activities by different organisations that have different perceptions of safety and possess different safety cultures. Understanding safety climate can immensely benefit MoOSTs organisations by improving the understanding of attitudes and perceptions that alleviate workplace incidents. This study aimed to establish safety climate that would boost safety culture and positively impact perceived safety performance during MoOSTs. Safety climate questionnaire survey was deployed to MoOSTs workers of leading cement plants in Nigeria. Through exploratory factor analysis, three underlying safety climate factors were identified, which helped to determine that factors such as ‛training and learning from incidents’, ‛commitment of senior management towards ensuring safety and its protocol development process’ and ‛effectiveness of incident reporting systems during MoOSTs’ were significant predictors of workers’ perceptions of safety performance. The findings also pointed out that the inter‐relationship between perceived safety performance, MoOSTs safety training and organisational commitment were positively correlated.

Application of Virtual Reality (VR) Technology in Mining and Civil Engineering

Virtual reality (VR) is one of the most innovative technologies that allows the development of a computerised, three-dimensional image that imitates reality. With this solution, it is possible to show different objects and even simulate a sequence of actions. The application of virtual reality technology in industries with high accident rates, such as mining and construction, contributes to sustainability by enhancing occupational health and safety (OHS) practices. However, it should be emphasised that the application of VR in these industries is much broader and includes aspects such as visualisation, monitoring and design. This research contributes to sustainability by identifying research gaps, providing an in-depth systematic review of the use of virtual reality technology and outlining the potential of VR technology to advance safety practices in mining and construction, thereby promoting the well-being of workers, reducing accidents and minimising negative environmental impacts associated with workplace incidents. Based on the analyses performed, the future of VR technology for improving work processes in terms of the safety, efficiency and profitability of implementation is outlined. The results of this study provide a comprehensive framework for identifying research gaps in this area to advance research in the academic community and to improve safety in mining and construction workplaces.

Determinants of Exclusive Breastfeeding to 0-6 Month Babies in Stunting Handling in The District of Kupang

Stunting is a form of failure to thrive at high altitude (stunting) due to accumulation of malnutrition that persists from conception to 24 months of age (Bloem et al, 2013). This situation is exacerbated by insufficient catch-up growth (Kusharispeni, 2002). The index for identifying stunted young children is based on the age index (TB/U) according to the WHO criteria (2015). -2 standard deviations (SD). The aim of this study was to analyze the determinants of exclusive breastfeeding at 0-6 months of age to prevent stunting in NTT's Kupang County. This type of study is quantitative with a cross-sectional design. The study population consisted of breastfeeding mothers and infants aged 0-6 months from Kupang District, East Nusa Tenggara. The sample was a breastfeeding mother aged 0–6 months who met the inclusion criteria, i.e., live birth willing to be a respondent, single birth, nondisabled, free of comorbidities mothers and infants. was an infant. The number of samples is 75. The sampling technique is cluster random sampling. Results showed that there was no significant association between respondents' workplace characteristics and incidence of stunting, p=0.21 >α=0.05. There are important relationships. Age p=0.0001 <; = 0.05; Education 0.028 <; α = 0.05 Knowledge p = 0.003 <; = 0.05; Role p = 0.0001 <; = 0.05. It was concluded that age, education, knowledge, family support, officer role, and family role were determinants of exclusive breastfeeding to prevent stunting. We recommend using this model to prevent growth retardation.

Advancing Workplace Safety: A Proactive Approach with Convolutional Neural Network for Hand Pose Estimation in Press Machine Operations

Press machine operations are integral to goods production across industries, yet worker safety faces significant risks. Machine misuse and non-compliance with safety standards contribute substantially to these incidents. This study addresses the mounting concerns regarding workplace incidents through a proactive solution—a Convolutional Neural Network (CNN) model crafted to prevent press machine misuse by monitoring workers' hand placement during operation. The model that we suggest ensures adherence to safety standards. The CNN model does not replace the role of human operators but acts as a supportive layer, providing instant feedback and intervention when deviations from safety standards are detected. In conclusion, this research endeavors to pave the way for a safer and more secure industrial environment by leveraging the capabilities of advanced technology. The proposed CNN model addresses current concerns and sets a precedent for future advancements in ensuring workplace safety across diverse industries.

P074 Sleep-Related Predictors of Road and Workplace Safety in Young Adults: Results from a Community Representative Sample

Abstract Young adults are at increased risk of road and workplace incidents. Sleep-related predictors of increased risk include short sleep duration, sleep disorders and shift work. It is unknown which predictors are the most impactful, or whether they are interrelated. To address this, sleep-related predictors were concurrently examined in young adults. Participants were young adults (22 years) from the Raine Study, who were employed, assessed for common sleep disorders (obstructive sleep apnoea by polysomnography, insomnia and restless legs syndrome symptoms by validated questionnaires), provided information on shift work status and habitual sleep duration. Two sub-groups were analysed: participants with a driver’s licence and self-reported information on road incidents (n=519) and those with information on workplace incidents, regardless of driver’s license status (n=575). Poisson regression models adjusted for sex and comorbidities were used to examine sleep-related predictors of road and workplace incidents. A total of 15% reported ever falling asleep behind the wheel and 23% reported ever having at least one near-miss road accident due to sleepiness. Diagnosis of a sleep disorder predicted near-miss road accidents (risk ratio, 3.0; 95%CI 1.7–5.3), independent of sleep duration and shift work. A total of 11% reported ever falling asleep on the job and 12% reported ever having an accident at work that required seeing a doctor or nurse, neither of these were associated with sleep duration, sleep disorders or shift work status. Sleep disorder diagnosis may be important in young adults given road incidents are strongly associated with the presence of a sleep disorder.

Blood cannabinoid molar metabolite ratios are superior to blood THC as an indicator of recent cannabis smoking

Introduction Cannabis use is a growing concern in transportation and workplace incidents. Because Δ9-tetrahydrocannabinol is detectable after acute psychoactive effects have resolved, it has limitations as an indicator of recent usage or potential impairment. Methods In an observational study of driving and psychomotor performance, we measured whole blood Δ9-tetrahydrocannabinol plus its metabolites 11-hydroxy-Δ9-tetrahydrocannabinol and 11-nor-9-carboxy-Δ9-tetrahydrocannabinol by liquid chromatography with tandem mass spectrometry at baseline and 30 min after starting a 15-minute interval of smoking cannabis in 24 occasional and 32 daily cannabis smokers. We calculated two blood cannabinoid molar metabolite ratios: 1) [Δ9-tetrahydrocannabinol] to [11-nor-9-carboxy-Δ9-tetrahydrocannabinol] and 2) ([Δ9-tetrahydrocannabinol] + [11-hydroxy-Δ9-tetrahydrocannabinol]) to [11-nor-9-carboxy-Δ9-tetrahydrocannabinol]. We compared these to blood [Δ9-tetrahydrocannabinol] alone as indicators of recent cannabis smoking. Results Median Δ9-tetrahydrocannabinol concentrations increased from 0 (<limit of detection 0.2 µg/L) at baseline to 5.6 µg/L post-smoking in occasional users. Among daily users, these were 2.7 µg/L at baseline and 21.3 µg/L post-smoking. Median molar metabolite ratio 1 increased from 0 at baseline to 0.62 post-smoking in occasional users and from 0.08 at baseline to 0.44 post-smoking in daily users. The median molar metabolite ratio 2 increased from 0 to 0.76 in occasional users and from 0.12 to 0.54 among daily users. A molar metabolite ratio 1 cut-point of 0.18 yielded 98% specificity, 93% sensitivity, and 96% accuracy for identifying recent cannabis smoking. A molar metabolite ratio 2 cut-point of 0.27 yielded 98% specificity, 91% sensitivity, and 95% accuracy. The receiver operating characteristic curves for molar metabolite ratio 1 and molar metabolite ratio 2 were not statistically different (P > 0.38). By comparison, a cut-point for Δ9-tetrahydrocannabinol of 5.3 µg/L yielded 88% specificity, 73% sensitivity, and 80% accuracy. Conclusions In occasional and daily users, the blood cannabinoid molar metabolite ratios were superior to whole blood Δ9-tetrahydrocannabinol as indicators of recent cannabis smoking. We recommend measurement and reporting of Δ9-tetrahydrocannabinol, 11-hydroxy-Δ9-tetrahydrocannabinol, and 11-nor-9-carboxy-Δ9-tetrahydrocannabinol, and their molar metabolite ratios in forensic and safety investigations.

Identifying occupational health and safety risks among environmental health officers in Australia and New Zealand through an online survey.

To identify the occupational health and safety (OHS) risks among environmental health officers (EHOs) in Australia and New Zealand. The objectives were to profile and compare OHS experiences from different countries and regions to gain a regional perspective on OHS hazards that impact EHOs. An online hazard exposure survey was conducted among 339 EHOs (Australia: n = 301, 88.8%; New Zealand: n = 38, 11.2%). The Mann-Whitney U test was used to compare 2 ordinal data groups, the Kruskal-Wallis H test was used for more than 2 ordinal groups, and the independent samples t test was used to compare the means of 2 independent groups where the dependent variables were normally distributed. Multiple regression techniques were used to analyze workplace incidents and age groups. A high degree of similarity in the types of workplace exposures and risk perceptions as well as concerns with organizational OHS management commitment were observed among EHOs from the 2 countries. Workplace violence and physical and psychosocial demands were the most commonly reported OHS hazards. Employer type, sex, and age group were significantly related to workplace exposure and OHS experience among EHOs in both countries. This study provides a profile of workplace exposure in the environmental health profession in the 2 countries and offers recommendations for the implementation of preventive action.

The minor cannabinoid cannabigerol (CBG) is a highly specific blood biomarker of recent cannabis smoking

Introduction The determination of recent cannabis use is of forensic interest in the investigation of automotive crashes, workplace incidents and other mishaps. Because Δ9-tetrahydrocannabinol may persist in blood after psychoactive effects of intoxication resolve, particularly in regular users, short-lived minor cannabinoids such as cannabigerol have merited examination as adjunct indicators of recent cannabis inhalation. Methods As part of an observational cohort study, whole blood cannabinoids including cannabigerol were measured in whole blood by liquid chromatography with tandem mass spectrometry at baseline, and 30 minutes after initiation of a 15-minute supervised interval of ad libitum cannabis smoking in occasional (1–2 days/week over the past 30 days) (n = 24) and daily cannabis smokers (n = 32). Per protocol, subjects self-reported abstention from inhaling cannabis (>8 h) or ingesting cannabis (>12 h) prior to baseline measurement. Results At baseline, none of the occasional users had detectable cannabigerol (limit of detection = 0.2 µg/L), whereas cannabigerol was detectable post-smoking in 7 of 24 (29%). Among daily cannabis users, 2 of 32 (6%) had detectable cannabigerol at baseline, increasing to 21 of 32 (66%) post-smoking. The odds ratio for recent cannabis smoking associated with a detectable cannabigerol was 27 (95% confidence interval: 6.6, 110.3). In this mixed cohort of occasional and daily cannabis users, receiver operator characteristic curve analysis indicated that whole blood cannabigerol concentration of ≥ 0.2 µg/L had 96% specificity, 50% sensitivity, and 73% accuracy for identifying a 15-minute interval of ad libitum cannabis smoking initiated 30 minutes earlier. Post smoking blood Δ9-tetrahydrocannabinol (median = 5.6 µg/L in occasional users, 21.3 µg/L in daily users) was significantly correlated with post-smoking cannabigerol (P < 0.0001). Conclusion Whole blood cannabigerol may have forensic utility as a highly specific albeit insensitive biomarker of recent cannabis smoking.

Work safety and health – the business analytics usage in Industry 4.0 conditions

Purpose: The purpose of this publication is to present the applications of usage of business analytics in work safety and health. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: In the era of Industry 4.0, characterized by automation and smart technologies, the preservation of workforce health and well-being takes center stage. This paper explores the transformative integration of business analytics into work safety and health practices, signaling a paradigm shift in monitoring, managing, and elevating occupational safety standards. The publication underscores the proactive role of business analytics, especially through wearable device-driven physiological monitoring, in safeguarding worker health without compromising productivity. By aligning seamlessly with regulatory compliance, business analytics becomes a linchpin in mitigating legal and financial risks associated with workplace incidents. The synergy between work safety, health, and business analytics presents a transformative approach, empowering organizations to proactively address safety concerns and cultivate safer work environments. While delving into the software applications, the paper highlights the versatility of analytics in predicting incidents, monitoring compliance, and optimizing workloads. Challenges such as data quality, privacy concerns, and integration issues are acknowledged, yet the multitude of advantages showcased, including incident prevention, data-driven decision-making, and cost savings, affirm the transformative potential of business analytics in shaping a safer, more efficient, and healthier future workplace. Originality/value: Detailed analysis of business analytics in work and safety area. Keywords: business analytics, Industry 4.0, digitalization, artificial intelligence, real-time monitoring; work safety and health. Category of the paper: literature review.

Occupational accidents related to gender in the village of La Xuyen wood handicraft

One of the main craft groups in Vietnam is carpentry. According to research conducted in the La Xuyen wood handicraft village, accidents at work—from minor mishaps to serious and serious accidents—are quite common in the wood industry. Fatal workplace incident According to research, there are numerous hazards that could result in work accidents for both male and female employees in La Xuyen craft village. Men and women differ in that men experience more workplace accidents, and men also experience a higher rate of occupational accidents than women. This is because men frequently take on heavier tasks and use potentially flimsy machinery. Whereas women frequently take on simple, creative jobs that call for ingenuity and use few machines.

Wearable Technology and Pulse Transit Time (PTT) Used to Assess Workplace Violence Incidents in Nursing

Nurses are exposed to incidents of workplace violence involving patients and their family members, and also coworkers. Studies of occupational stressors generally rely on subjective self-reports, questionnaires, or biometric and biochemical markers in long-cycle time intervals, but such assessments offer little guidance to HF/E intervention efforts. This study examined the viability of using wearable sensors to detect workplace violence incidents, and included measurement of pulse transit time (PTT) as a biomarker of continuous blood pressure. Six nurses were monitored over seven days. The electrocardiogram, PTT, and activity level were measured using a custom-designed armband. Participants used a wristwatch (Empatica E4) to log incidents, and a smartphone survey app to rate incident severity. Results show PTT was a more reliable indicator of workplace incidents than low- to high-frequency (LF/LH) ratio heart rate variability, offering a more robust way to continuously monitor critical events noninvasively over long periods in demanding work environments.

Impact of Demographics and Certifications on Awareness of Safety Management Practices

Abstract: This research work primarily contributes to determining the findings through the Role of human resource management to ensure occupational health and safety system in the construction industry in Tata Housing Development and Construction Division, Gurgaon for ensuring the aspects of safety management. Just because HR is part of an organization's management team doesn't imply it doesn't play a vital role in employee advocacy. This is especially true when employees raise concerns about their health and safety, or when management try to cut corners, conceal dangers, or neglect to disclose workplace incidents in the construction business. The goal of this research is to provide a human asset management viewpoint on the occupational health and safety management framework.