Negative Consequences Research Articles

Human trafficking and outcomes for children and young people in the UK

ABSTRACT Human trafficking, ‘modern slavery’ and exploitation have risen up policy agendas as social issues of major global and public concern. In the UK, awareness about the human trafficking of children and young people has grown significantly over the past decade with children making up 44% of all referrals into the UK’s National Referral Mechanism (NRM) in 2023. The views of these children are missing from policy, as is any focus on outcomes. This paper draws on research that scoped international evidence on outcomes and undertook 20 participatory workshops with 31 young people in three locations across England and Scotland. A stark contrast was found between negative outcomes, negative sequalae and negative consequences of human trafficking and the capabilities, strengths and focus on creating positive outcomes when working with young people. Outcomes were ultimately detailed through a Positive Outcomes Framework, anchored in the lives and rights of young people. It is suggested this contrast offers a key insight into a relatively unexplored aspect of human trafficking; that evidence currently misses a focus on positive outcomes in the post-trafficking experience. This risks defining young people solely through their past traumatic experiences, denies their agency and abilities to move forward with their lives.

Positive Attributable Visual Sources Attenuate the Impact of Trigger Sounds in Misophonia

Abstract Misophonia is characterized by strong negative reactions to everyday sounds, such as chewing, slurping or breathing, that can have negative consequences for daily life. Here, we investigated the role of visual stimuli in modulating misophonic reactions. We recruited 26 misophonics and 31 healthy controls and presented them with 26 sound-swapped videos: 13 trigger sounds paired with the 13 Original Video Sources (OVS) and with 13 Positive Attributable Visual Sources (PAVS). Our results show that PAVS stimuli significantly increase the pleasantness and reduce the intensity of bodily sensations associated with trigger sounds in both the misophonia and control groups. Importantly, people with misophonia experienced a larger reduction of bodily sensations compared to the control participants. An analysis of self-reported bodily sensation descriptions revealed that PAVS-paired sounds led participants to use significantly fewer words pertaining to body parts compared to the OVS-paired sounds. We also found that participants who scored higher on the Duke Misophonia Questionnaire (DMQ) symptom severity scale had higher auditory imagery scores, yet visual imagery was not associated with the DMQ. Overall, our results show that the negative impact of misophonic trigger sounds can be attenuated by presenting them alongside PAVSs.

Susceptibility to online misinformation: A systematic meta-analysis of demographic and psychological factors

Nearly five billion people use and receive news through social media and there is widespread concern about the negative consequences of misinformation on social media (e.g., election interference, vaccine hesitancy). Despite a burgeoning body of research on misinformation, it remains largely unclear who is susceptible to misinformation and why. To address this, we conducted a systematic individual participant data meta-analysis covering 256,337 unique choices made by 11,561 US-based participants across 31 experiments. Our meta-analysis reveals the impact of key demographic and psychological factors on online misinformation veracity judgments. We also disentangle the ability to discern between true and false news (discrimination ability) from response bias, that is, the tendency to label news as either true (true-news bias) or false (false-news bias). Across all studies, participants were well above-chance accurate for both true (68.51%) and false (67.24%) news headlines. We find that older age, higher analytical thinking skills, and identifying as a Democrat are associated with higher discrimination ability. Additionally, older age and higher analytical thinking skills are associated with a false-news bias (caution). In contrast, ideological congruency (alignment of participants' ideology with news), motivated reflection (higher analytical thinking skills being associated with a greater congruency effect), and self-reported familiarity with news are associated with a true-news bias (naïvety). We also find that experiments on MTurk show higher discrimination ability than those on Lucid. Displaying sources alongside news headlines is associated with improved discrimination ability, with Republicans benefiting more from source display. Our results provide critical insights that can help inform the design of targeted interventions.

The Problem of Drought in the Territory of Azerbaijan and Combat Measures

The article considers global and local climate change, and the problems associated with these changes. The increase in drought in the world and in Azerbaijan. The influence of various types of anthropogenic impact on the environment is studied. Measures to reduce their negative consequences are proposed. 52.4% of the total land fund of Azerbaijan is suitable for agriculture. The bulk of the soil is in arid areas (Kura-Araz lowland, including the Salyan, Mil, Mugan, Shirvan and Karabakh plains). Drought is also observed in the foothills of the Lesser Caucasus. Growing crops without irrigation is impossible. Problems arise in irrigating crop areas in dry years. The presence of drought in the summer months and a decrease in water resources negatively affect agriculture. The total water deficit in Azerbaijan in 2020 amounted to more than 0.2 km3. The water deficit may increase to 1.3 km3 in 2030 but may amount to 4-5 km3 in 2050. It is proposed to use current technologies in the country's natural resource management system.

Parental separation penalties among university students in Italy

This paper addresses the long-standing question of whether parental separation shapes offspring school performance drawing on retrospective data from a group of university students in Italy, a country that has historically had very low separation rates yet has experienced an important rise in family dissolution over the last two decades. Using survey data from 1st-year enrollees in undergraduate courses in Economics and Statistics at two points in time (2000 and 2017), we explore whether the association between parental separation and children’s school performance (i) is observed both at the level of middle school (MS) and high school (HS); (ii) varies according to the age at which students experienced separation, and (iii) varies by parental socio-economic status (SES). Our results suggest that students whose parents separated before MS completion score on average 2 points less on the end-of-middle-school exam relative to students whose parents did not separate or separated after MS completion. Similarly, students whose parents separated before HS completion score 1 point less on the end-of-high-school exam relative to their counterpart. As such, we document a parental separation penalty both at the level of MS and HS, yet lower by half when separation occurs later in students’ life course. Moreover, for HS grade parental separation is associated with more negative consequences when students experience it at very young ages (0–5), while for MS grade heterogeneity by age is less clear-cut. Such penalties are concentrated among children of low-educated mothers, particularly for HS, providing support to the “compensatory advantage” hypothesis predicting smaller penalties for children of high-SES parents. Overall, findings from this study corroborate existing evidence suggesting that the consequences of parental separation vary depending on a combination of social background and the “selectivity” of the educational outcome considered.

The neurobiological mechanisms of photoperiod impact on brain functions: a comprehensive review.

Variations in day length, or photoperiodism, whether natural or artificial light, significantly impact biological, physiological, and behavioral processes within the brain. Both natural and artificial light sources are environmental factors that significantly influence brain functions and mental well-being. Photoperiodism is a phenomenon, occurring either over a 24 h cycle or seasonally and denotes all biological responses of humans and animals to these fluctuations in day and night length. Conversely, artificial light occurrence refers to the presence of light during nighttime hours and/or its absence during the daytime (unnaturally long and short days, respectively). Light at night, which is a form of light pollution, is prevalent in many societies, especially common in certain emergency occupations. Moreover, individuals with certain mental disorders, such as depression, often exhibit a preference for darkness over daytime light. Nevertheless, disturbances in light patterns can have negative consequences, impacting brain performance through similar mechanisms albeit with varying degrees of severity. Furthermore, changes in day length lead to alterations in the activity of receptors, proteins, ion channels, and molecular signaling pathways, all of which can impact brain health. This review aims to summarize the mechanisms by which day length influences brain functions through neural circuits, hormonal systems, neurochemical processes, cellular activity, and even molecular signaling pathways.

Predictors of intention to use contraceptives among married and cohabiting women in Ghana: A cross-sectional study

BackgroundContraceptive use is a cost-effective intervention for reducing unintended pregnancies and sexually transmitted infections and their negative consequences. It is vital to increase contraceptive use among women to improve their reproductive health outcomes. This study examines the factors associated with contraceptive use intention among married and cohabiting women in Ghana.MethodsWe analysed data from the 2022 Ghana Demographic and Health Survey. A total of 5,846 married and cohabiting women were included in the study. A multivariable binary logistic regression analysis was used to examine the factors associated with the intention to use contraceptives. The regression results were presented using an adjusted odds ratio (aOR) with 95% confidence intervals (CIs).ResultsThe proportion of intention to use contraceptives among married and cohabiting women was 33.0% [31.1, 35.0]. Compared to women living in the Greater Accra, those living in Central (aOR = 1.69; 95% CI = 1.06, 2.69), Bono East (aOR = 1.63; 95% CI = 1.02, 2.61), Oti (aOR = 2.68; 95% CI = 1.63, 4.40), and Upper West Regions (aOR = 4.48; 95% CI = 2.68, 7.48) were more likely to have contraceptive use intention. The odds of intention to use contraceptives increased with increasing parity, with the highest odds among women with four or more births (aOR = 2.41; 95% CI: 1.66, 3.51). The intention to use contraceptives decreased with increasing age, with the lowest odds among those aged 45–49 (aOR = 0.04, 95% CI = 0.25, 0.07). Women with no education (aOR = 0.42, 95% CI = 0.28, 0.63), primary education (aOR = 0.56, 95% CI = 0.37, 0.86), and secondary education (aOR = 0.65, 95% CI = 0.45, 0.92) had lower odds of intention to use contraceptives compared to those with higher education. Married women (aOR = 0.61, 95% CI = 0.49, 0.76) had lower odds of contraceptive use intention relative to cohabiting women.ConclusionOur study revealed a low contraceptive use intention among women, signalling a barrier in access to family planning services in the country. Various factors, including age, region, marital status, parity, and educational level play a role in determining the intention to use contraceptives. These findings underscore the importance of implementing policy changes and enhancing existing programmes to improve the availability of information, contraceptive education, and family planning services, especially for younger women, those living in rural areas, and those with lower levels of education. Additionally, it is vital to address socio-cultural barriers and empower women to address the factors associated with intention to use contraceptives.

A Narrative Review of Ethical Issues in the Use of Artificial Intelligence Enabled Diagnostics for Diabetic Retinopathy.

Diabetic retinopathy is one of the leading causes of avoidable blindness among adults globally, and screening programmes can enable early diagnosis and prevention of progression. Artificial intelligence (AI) diagnostic solutions have been developed to diagnose diabetic retinopathy. The aim of this review is to identify ethical concerns related to AI-enabled diabetic retinopathy diagnostics and enable future research to explore these issues further. This is a narrative review that uses thematic analysis methods to develop key findings. We searched two databases, PubMed and Scopus, for papers focused on the intersection of AI, diagnostics, ethics, and diabetic retinopathy and conducted a citation search. Primary research articles published in English between 1 January 2013 and 14 June 2024 were included. From the 1878 papers that were screened, nine papers met inclusion and exclusion criteria and were selected for analysis. We found that existing literature highlights ensuring patient data has appropriate protection and ownership, that bias in algorithm training data is minimised, informed patient decision-making is encouraged, and negative consequences in the context of clinical practice are mitigated. While the technical developments in AI-enabled diabetic retinopathy diagnostics receive the bulk of the research focus, we found that insufficient attention is paid to how this technology is accessed equitably in different settings and which safeguards are needed against exploitative practices. Such ethical issues merit additional exploration and practical problem-solving through primary research. AI-enabled diabetic retinopathy screening has the potential to enable screening at a scale that was previously not possible and could contribute to reducing preventable blindness. It will only achieve this if ethical issues are emphasised, understood, and addressed throughout the translation of this technology to clinical practice.

KEY STAGES AND INNOVATIVE APPROACHES IN RISK MANAGEMENT UNDER UNCERTAINTY

The purpose of the article is to analyze in detail the process of risk management at enterprises, in particular, its key stages. In addition, the article aims at studying the current instruments of bankruptcy risk management which can be implemented in the modern economy. The relevance of the article is stipulated by the need to improve approaches to risk management in today's dynamic business environment, where enterprises are constantly facing financial and operational threats. Of particular importance is bankruptcy risk management, since economic instability and high level of competition require effective mechanisms to protect financial stability. The following methods are used in the study: the method of analysis and synthesis - for a structured consideration of the stages of the risk management process, identifying the relationships between them and forming a holistic picture of management actions at each stage; the method of logical generalization - for formulating general conclusions and recommendations on the stages and tools of risk management based on the analysis of literature and practical examples. The result of the study is to determine the essential characteristics of the main stages of the enterprise risk management process and the relevant tools for managing the bankruptcy risk. This includes: a structured description of the key stages of risk management – from risk identification and assessment to monitoring and control, which ensures a systematic approach to responding to threats; analysis of current tools for managing bankruptcy risk – identification of tools that facilitate early detection of risks and support the financial stability of the enterprise. The practical value of the article lies in providing enterprises with a clear description of the risk management process, which includes the main stages from identification to monitoring and control, allowing companies to take a more systematic approach to risk management and reducing the likelihood of negative financial consequences. The use of the current tools for managing bankruptcy risk described in the article provides an opportunity to quickly identify early signs of financial instability, which helps to maintain their financial stability. In addition, the proposed recommendations can be integrated into the enterprise management system, creating a flexible and adaptive model to maintain stable development in the face of economic uncertainty.

Utilizing multiple intelligences as a means to improving claim performance outcomes in project-based organizations

PurposeProject claim performance is often poor with negative consequences for project-based organizations (PBOs). Conflict and emotion are reported to impact organizational claim performance outcomes, yet remains unexplored. This study investigates the multiple intelligence (MI) context from the viewpoint of the claim management office (CMO), with the intent of identifying pathways to improving the emotion-based claim performance of PBOs.Design/methodology/approachThe study utilizes an autoethnographic case study involving a PBO-based general contractor (GC). Multiple intelligence theory (MIT) is applied as the theoretical lens. Method of framework analysis is used in analyzing the data, with reference to claim management office (RFCMO) theory as a main source in making “analytic generalization”.FindingsMultifaceted complexities of MIs are identified, including ambidexterity, actions and relations, stress and conflict, cultural differences and universals, meta-strategic thinking and team diversity. The holistic emotion-based strategies model identifies how PBOs can improve claim performance, specifically by adopting theories confection remedy and controlling emotion outcomes strategies in a closed-loop process. Further, the coherent emotions governance (CEG) framework enables CMOs' to upgrade maturity levels, by integrating the strategies, general and specific measures for improving emotion-based organizational claim performance.Originality/valueThis is a pioneering study in unveiling the complexities of organizational emotions engagement and the application of confection remedy, specifically in a project management context. The antecedents of RFCMO theory are here enriched with MIT and the pool of the supporting people-centered theories, augmented by an autoethnographic case study, in which the linkage between emotion and conflict complexity is laid bare. Further, this study identifies how conflicts in construction industry can be mitigated by way of a discrete three-category theories confection remedy.

Improving Organizational Performance by Creating an Instrument That Can Help Keep Misuse of Manager Power Under Control

Power misuse by managers in organizations is a wide-spread problem that has significant negative consequences for organizational performance. At the same time, published research on attempts of diagnosing power misuse is scarce. As such, organizations keep facing this problem without help from academia on handling it. The authors of this paper suggest addressing the issue by utilizing a regular survey with the purpose of diagnosing potential power misuse by supervising managers of an organization. The information collected via such a survey can be a powerful feedback instrument toward changing or continuing the state of affairs. Such a survey is developed in this paper. The survey has adequate face validity and Cronbach’s alpha reliability of 0.93. Furthermore, its criterion, convergent, external structure, and discriminant validity results indicate their good levels. Therefore, the survey may be recommended for use in the organizational setting. Utilization of this instrument can potentially lead to the increase of employee accomplishments, and the improvement of organization-wide performance.

FORMATION OF A CONTROL SYSTEM IN AN AGRO-INDUSTRIAL ENTERPRISE

The article examines the importance of control in the management systems of agro-industrial enterprises, which is critical for ensuring their stability and effectiveness in a dynamic environment. The aim of the article is to analyze, systematize, generalize, and improve the theoretical and methodological foundations for the formation of a control system in an agro-industrial enterprise. It is determined that in the context of constant changes affecting agriculture, the control function becomes particularly significant as it helps adapt enterprises to new challenges and prevents negative consequences. The study presents the elements of the control system in agro-industrial enterprises, which include: planning (establishing goals, defining standards, and developing plans that serve as a basis for further monitoring and control), monitoring (constant collection and analysis of information on the execution of production processes), deviation analysis (evaluating performance results and comparing them with planned indicators), and feedback mechanisms (providing information on the effectiveness of production processes and their results, which is used to update plans and improve subsequent stages of control). Key control tools applicable at all stages of agro-industrial enterprises' activities are presented: planning and forecasting, result analysis and reporting, monitoring and information, auditing and inspections, quality control of products, budgeting, verification and compliance with environmental standards, personnel management, risk management, and technological control. It is found that timely application of control tools helps avoid losses and maintain high product quality. The purpose of control is justified as ensuring compliance of all production processes with established plans and standards to achieve economic efficiency, reduce costs, and improve product quality. The study allowed for the identification of the significance of integrating modern control methods and information technologies, which significantly enhance the effectiveness of management processes. It is noted that the application of modern technologies, such as ERP systems, IoT, and analytical platforms, significantly improves control over all stages of production and supply.

Nocebo Effect on Pain Perception and Attention with Children With and Without Attention Deficit And/Or Hyperactivity Disorder.

Attention deficit disorder with or without hyperactivity (ADHD) has negative consequences for children. The effectiveness of medical interventions and educational outcomes are strongly influenced by expectations, which can be modulated by nocebo effects. The aims of this study were to compare the nocebo effect on pain perception and attention in children with and without ADHD as well as to characterize the associations of the nocebo effect with personal variables, such as anxiety, sleep, and pain catastrophizing. Data were collected from 30 children with and without ADHD. The nocebo effect was induced using an inactive pill, "increasing" pain perception and attention deficits. Experimental thermal pain was evoked using a thermode and recorded using a computerized visual analog scale. Attention abilities were measured with the Stop-Signal Task. We also used questionnaires to measure personal variables. When combining groups, the nocebo treatment led to comparable nocebo effects for pain (increased pain perception) and attention (increased time needed for inhibition). When comparing groups, the nocebo effect on pain perception was similar for children with and without ADHD. Inattention, learning problems, anxiety, and sleep problems were associated with the nocebo response for pain and attention. This exploratory study conducted in an experimental setting emphasizes the importance of managing children's expectations for pain perception and attention as well as the potentially deleterious impact of negative suggestions on elementary school children.

CEO deaths and credit relationships: evidence from an emerging market

Abstract In a sample representing 40% of Peru’s formal economy, firms shocked by the death of their chief executive officer experience lower sales and a higher probability of exit, lower borrowing amounts and credit performance, and a reduced number of lenders compared with very similar firms. Existing lenders bear the negative consequences. Monthly risk assessments by lenders worsen immediately after the death events. The negative effects are observed across various firm sizes, while industry characteristics, incorporation, and family ties are relevant dimensions of heterogeneity. Lenders with a longer relationship history, and those less constrained for loan-making, protect themselves by introducing collateral clauses. (JEL D25, G30, L25).

System Complexity, Information & Communication Overload, Work-Family Balance & Social Networking Sites’ Tiredness: A Social and Digital Perspective

The use of Internet for constant connectivity with social networking sites has negative consequences in the form of higher mental pressure, low physical and offline activities, and mental tiredness and fatigue. Using these given phenomena, this research explores how system complexity, information overload, and communication overload are decisive factors of tiredness of social networking sites among Chinese individuals. The study also adds the role of work family balance as a predictor in determining the tiredness levels of the use of social networking sites. A survey questionnaire was conducted over a sample of 507 respondents, drawn through non-probability purposive sampling techniques from employees of major Chinese organizations. The Structural Equation Modelling measurements revealed that, except for system complexity, the impact of information overload, communication overload, and work-family balance is significant in causing tiredness of social networking sites. However, while both overload factors were responsible for greater tiredness, a higher balance between work and family tends to reduce it. The study suggests that policymakers should develop strategies through to reduce such tiredness. It was also felt that a more work-family balance should be a panacea for such tiredness among the Chinese people.

Mutaffifin Suresi'nin İlk Üç Ayeti Üzerine Bir İnceleme

This article provides an in-depth examination of the first three verses of Surah Al-Mutaffifin. The surah emphasizes the core Islamic principles of justice and honesty in trade. The verses strongly condemn fraudulent practices in commerce and highlight the negative consequences of such behavior, both religiously and socially. The article discusses the linguistic analysis of the verses, classical and modern interpretations, jurisprudential perspectives, and their place in Islamic law. Additionally, it explores the relevance of these verses in today's commercial practices and their significance in modern Islamic trade law. Keywords: Surah Al-Mutaffifin, honesty in trade, Islamic trade law, jurisprudential interpretation, justice, social responsibility, fraudulent trade.

Perspectives of Parents towards the Use of Corporal Punishment for Children

This article intends to identify the perspectives of parents towards the use of corporal punishment for shaping their children's behaviors. To achieve the objective, this research was guided by interpretive paradigm followed by basic qualitative research design. Only 10 parents were chosen by using purposive sampling method to conduct open-ended interview. Document analysis was also used to gather supplementary information required for the study. The study results reveal that though the corporal punishment is legally banned and has negative consequences on children, parents are continuously using it as a disciplinary method to shape their children's behaviors. Nevertheless, there is an increasing recognition of the limitations of punishment and the long-lasting implications of alternative approaches to making sustainable changes in children's behaviors. Almost all parents believe that punishment should be used to a minimal extent by giving more priority to alternative approaches to modify children’s behaviors.

Perceived Mistreatment and Professional Identity of Medical Students in China

Mistreatment is a common experience among medical students, with various negative consequences of such perceived mistreatment reported. However, few large-scale studies have investigated the association between perceived mistreatment and the formation of medical students' professional identities. To investigate medical students' perceived mistreatment during medical school and its association with professional identity. This repeated cross-sectional study included medical students graduating between 2019 and 2022 at 135 medical schools in China. Analyses were performed from July 25, 2023, to May 15, 2024. The China Medical Student Survey includes 5 items designed to measure students' perceived experiences of mistreatment. Professional identity was measured using a validated 7-item scale adapted from the Macleod Clark Professional Identity Scale. Multivariate linear regression was used to determine the association between perceived mistreatment and medical students' professional identity. A total of 94 153 students (53 819 female [57.2%]; 83 548 Han ethnicity [88.7%]) were analyzed, representing 67.2% of the medical graduates enrolled in all responding medical schools. Most medical students reported having experienced at least 1 mistreatment incident (79 554 students [84.5%]). Medical students reported being required to perform personal service (57 455 students [61.0%]), experiencing mistreatment by patients (67 439 students [71.6%]), being publicly humiliated (24 348 students [25.9%]), being unjustly treated (35 926 students [38.2%]), and experiencing deliberate harassment (46 082 students [48.9%]). A negative association and saturation effect (where effect size plateaus after moderate exposure of mistreatment) were found between the degree of mistreatment and medical students' professional identity scores. Compared with students who had not reported mistreatment, students who reported single (β, -0.30; 95% CI, -0.33 to -0.28; P < .001), moderate (β, -0.66; 95% CI, -0.69 to -0.63; P < .001), and high (β, -0.62; 95% CI, -0.65 to -0.58; P < .001) frequency of mistreatment were more likely to have lower professional identity scores; this association persisted but was attenuated after adjusting for students' sociodemographic characteristics and was consistent across all the types of mistreatment. In this national, repeated cross-sectional study, a high prevalence of mistreatment among medical students in China and a negative association between perceived mistreatment and medical students' professional identity was found. Further research is needed to ensure that medical schools offer supportive and respectful learning environments.

Ethics dumping in artificial intelligence.

Artificial Intelligence (AI) systems encode not just statistical models and complex algorithms designed to process and analyze data, but also significant normative baggage. This ethical dimension, derived from the underlying code and training data, shapes the recommendations given, behaviors exhibited, and perceptions had by AI. These factors influence how AI is regulated, used, misused, and impacts end-users. The multifaceted nature of AI's influence has sparked extensive discussions across disciplines like Science and Technology Studies (STS), Ethical, Legal and Social Implications (ELSI) studies, public policy analysis, and responsible innovation-underscoring the need to examine AI's ethical ramifications. While the initial wave of AI ethics focused on articulating principles and guidelines, recent scholarship increasingly emphasizes the practical implementation of ethical principles, regulatory oversight, and mitigating unforeseen negative consequences. Drawing from the concept of "ethics dumping" in research ethics, this paper argues that practices surrounding AI development and deployment can, unduly and in a very concerning way, offload ethical responsibilities from developers and regulators to ill-equipped users and host environments. Four key trends illustrating such ethics dumping are identified: (1) AI developers embedding ethics through coded value assumptions, (2) AI ethics guidelines promoting broad or unactionable principles disconnected from local contexts, (3) institutions implementing AI systems without evaluating ethical implications, and (4) decision-makers enacting ethical governance frameworks disconnected from practice. Mitigating AI ethics dumping requires empowering users, fostering stakeholder engagement in norm-setting, harmonizing ethical guidelines while allowing flexibility for local variation, and establishing clear accountability mechanisms across the AI ecosystem.

COMPUTER SIMULATION OF ELECTRICALLY CONDUCTING PROPERTIES OF MATERIAL FOR PERSONAL PROTECTION EQUIPMENT

The article presents an analysis of production factors that have a harmful effect on the health of workers. It has been established that one of the leading factors is an increased electrostatic field that occurs when a static charge accumulates on the surface of materials. An increased level of the electrostatic field can lead to various negative consequences for workers’ health. For full antistatic protection at work, not only special tools and workplaces are needed, but also special footwear made of conductive materials with high surface resistance, as well as other personal protective equipment. A computer model for simulating the occurrence and development of an electrical breakdown in a protective material for personal protective equipment is described. The model is based on energy concepts of the occurrence and development of a discharge, taking into account the statistical heterogeneity of the material’s electrical conductivity. The process of breakdown development is considered as a special case of the percolation effect and a branching random process. The model makes it possible to find a relationship between the heterogeneity of the material and the threshold of its protective properties.