Hip and core exercise programme prevents running-related overuse injuries in adult novice recreational runners: a three-arm randomised controlled trial (Run RCT).

OBJECTIVE: This study aims to investigate the efficacy of two exercise interventions in reducing lower extremity (LE) injuries in novice recreational runners. METHODS: Novice runners (245 female, 80 male) were randomised into hip and core (n=108), ankle and foot (n=111) or control (n=106) groups. Interventions were completed before running and included exercise programmes focusing on either (1) hip and core or (2) ankle and foot muscles. The control group performed static stretching exercises. All groups were supervised by a physiotherapist and performed the same running programme. Injuries and running exposure were registered using weekly questionnaires during the 24-week study. Primary outcome was running-related LE injury. RESULTS: The incidence of LE injuries was lower in the hip and core group compared with the control group (HR 0.66; 95% CI 0.45 to 0.97). The average weekly prevalence of overuse injuries was 39% lower (prevalence rate ratio, PRR 0.61, 95% CI 0.39 to 0.96), and the prevalence of substantial overuse injuries was 52% lower (PRR 0.48, 95% CI 0.27 to 0.90) in the hip and core group compared with the control group. No significant difference was observed between the ankle and foot group and control group in the prevalence of overuse injuries. A higher incidence of acute injuries was observed in the ankle and foot group compared with the control group (HR 3.60, 95% CI 1.20 to 10.86). CONCLUSION: A physiotherapist-guided hip and core-focused exercise programme was effective in preventing LE injuries in novice recreational runners. The ankle and foot programme did not reduce LE injuries and did not protect against acute LE injuries when compared with static stretching.

Factors related to the low-risk perception of driving after cannabis use.

INTRODUCTION: Modifying risk perceptions related to driving after cannabis use (DACU) could deter individuals from enacting this behavior, as low-risk perception is associated with DACU engagement. This study identified sociodemographic characteristics, substance use, other driving behaviors, peer norms, and psychological characteristics that are associated with lower risk perception regarding DACU. METHODS: Canadian drivers aged 17-35 who have used cannabis in the past year (n = 1,467) completed an online questionnaire. A multivariate linear regression model allowed for identifying variables associated with the low-risk perception of DACU (i.e. believing it to be safe as one's driving ability is not impaired by cannabis or by being high). RESULTS: Lower risk perception of DACU was associated with identifying as male, weekly to daily cannabis use, engagement in DACU, general risky driving behaviors, being a passenger of a driver who engages in DACU, number of friends who engage in DACU, and peer approval of DACU. Having driven under the influence of alcohol, living in urban areas, having received traffic tickets in the past three years, and declaring past-week irritability and cognitive problems were associated with holding a higher risk perception related to DACU. DISCUSSION: Road education and prevention programs should target attitudes and perceptions regarding risks shaped by sociocultural norms and past risky driving experiences. They need to reach out more specifically to drivers with the identified characteristics associated with the low-risk perception of DACU. These interventions can potentially help reduce the rate of individuals who engage in this behavior.

Relationships between self-reported prescription hydrocodone, oxycodone, and tramadol use and unintentional injuries among those with spinal cord injury.

OBJECTIVE: Identify the relationships of three frequently used prescription opioids (hydrocodone, oxycodone, and tramadol) with unintentional injuries, including fall related and non-fall related injuries among adults with chronic, traumatic spinal cord injury (SCI). DESIGN: Cross-sectional cohort study. SETTING: Community setting; Southeastern United States. PARTICIPANTS: Adult participants (N = 918) with chronic traumatic SCI were identified from a specialty hospital and state population-based registry, and completed a self-report assessment. INTERVENTIONS: N/A. MAIN OUTCOME MEASURES: Self-reported fall related and non-fall related unintentional injuries serious enough to receive medical care in a clinic, emergency room or hospital within the previous 12 months. RESULTS: Just over 20% of participants reported one or more unintentional injury in the past year, with an average of 2.16 among those with at least one. Overall, 9.6% reported fall related injuries. Only hydrocodone was associated with any past year unintentional injuries. Hydrocodone taken occasionally (no more than monthly) or regularly (weekly or daily) was related to 2.63 (95% CI =1.52, 4.56) or 2.03 (95% CI =1.15, 3.60) greater odds of having at least one unintentional injury in the past year, respectfully. Hydrocodone taken occasionally was also associated with past year non-fall related injuries (OR =2.20; 95% CI =1.12, 4.31). Each of the three opioids were significantly related to fall related injuries. Taking hydrocodone occasionally was associated with 2.39 greater odds of fall related injuries and occasional use was associated with 2.31 greater odds. Regular use of oxycodone was associated with 2.44 odds of a fall related injury (95% CI = 1.20, 4.98) and regular use of tramadol was associated with 2.59 greater odds of fall related injury (95% CI = 1.13, 5.90). CONCLUSIONS: Injury prevention efforts must consider the potential impact of opioid use, particularly hydrocodone. For preventing fall related injuries, each of the three opioids must be considered.

Dental injuries in Swiss children - an analysis of Swiss national health insurance data from the year 2019.

This study, the first to analyze accident data from a major compulsory Swiss health insurer (Concordia), reviewed 5,063 dental accident reports of 122,370 children under the age of 16. The predominant cause of injury was a "fall," with "playing" being the foremost activity mentioned and "ground" identified as the primary object of impact. The analysis of the involved objects showed that dental injuries occur most frequently with scooters, bicycles, and stairs. In 2019, 8.14% of children aged one and insured by Concordia suffered a dental injury. By age 16, 58.8% of all children had experienced a dental injury. 0.72% had suffered a primary dentition crown fracture with pulp involvement. Regarding their permanent teeth, 0.21% suffered an avulsion, 0.84% another luxation injury, 0.65% a crown fracture with pulp involvement, and 0.16% a root fracture. A significant increase in injuries per day was observed after the summer holidays. On weekends, there were 28% fewer injuries per day on average than on weekdays. Despite differences among the cantons, the dataset can be considered to be representative for Switzerland. Accident descriptions were often too brief for detailed prevention strategies. Detailed accident information is essential for effective structural measures, which are more effective than promoting behavioural changes. A detailed recording could also be used to draw up a list of the objects frequently involved in accidents. An updated insurance form with an improved nomenclature, the option of digital submission, photo uploads and AI-supported data recording could greatly improve the quality and interpretability of injury data.

Analysis of road traffic accidents and casualties associated with electric bikes and bicycles in Guangzhou, China: A retrospective descriptive analysis.

Introduction: Electric bicycles (e-bikes) and bicycles in large Chinese cities have recently witnessed substantial growth in ridership. According to related accident trends, this study analyzed characteristics and spatial distribution in the period when e-bike-related accidents rapidly increased to propose priority measures to reduce accident casualties. Methods: For e-bike- and bicycle-related accident data from the Guangzhou Public Security Traffic Management Integrated System, linear regression was used to examine the trends in the number of accidents and age-adjusted road traffic casualties from 2011 to 2021. Then, for the period when e-bike-related accidents rapidly increased, descriptive statistics were computed regarding rider characteristics, illegal behaviors, road types, collision objects and their accident liability. One-way analysis of variance (ANOVA) followed by Bonferroni's multiple comparison test. P < 0.05 was considered statistically significant. Finally, the density distribution of accidents was presented, and Moran's I (MI) was used for assessing spatial autocorrelation. Hotspots were identified based on an optimized hotspot analysis tool. Results: Between 2011 and 2021, the number of accidents and casualty rate (per 100,000 population) increased for e-bikes but decreased for bicycles. After 2018, e-bike-related accidents increased rapidly, and bicycle-related accidents plateaued. Accident hotspots were concentrated in central city areas and suburban areas close to the former. Three-quarters of accidents occurred in motorized vehicle lanes. Most occurred on roads without physically segregated nonmotorized vehicle lanes. More than three-fifths of the accidents involved motor vehicles with at least four wheels. The prevalence (per 100 people) of casualties among e-bike rider victims and cyclist victims accounted for 92.0 % and 96.5 %, respectively. A total of 71.6 % of e-bike-related accidents involved migrant workers. Riding in motorized vehicle lanes was the most common illegal behavior. Conclusions: Although e-bike-related and bicycle-related accidents presented similar characteristics, the sharp increase in e-bike-related accidents requires attention. To improve e-bike safety, governments should develop appropriate countermeasures to prevent riders from riding on motorways, such as improving road infrastructure, adjusting the driver's license system and addressing priority control areas.

Untethered Ultra-Wideband-Based Real-Time Locating System for Road-Worker Safety.

In order to reduce the accident risk in road construction and maintenance, this paper proposes a novel solution for road-worker safety based on an untethered real-time locating system (RTLS). This system tracks the location of workers in real time using ultra-wideband (UWB) technology and indicates if they are in a predefined danger zone or not, where the predefined safe zone is delimited by safety cones. Unlike previous works that focus on road-worker safety by detecting vehicles that enter into the working zone, our proposal solves the problem of distracted workers leaving the safe zone. This paper presents a simple-to-deploy safety system. Our UWB anchors do not need any cables for powering, synchronisation, or data transfer. The anchors are placed inside safety cones, which are already available in construction sites. Finally, there is no need to manually measure the positions of anchors and introduce them to the system thanks to a novel self-positioning approach. Our proposal, apart from automatically estimating the anchors' positions, also defines the limits of safe and danger zones. These features notably reduce the deployment time of the proposed safety system. Moreover, measurements show that all the proposed simplifications are obtained with an accuracy of 97%.

Self-management of Risk for the Prevention of Traffic Accidents from a Health Perspective: A Qualitative Study.

Introduction: In the world, deaths and injuries caused by traffic collisions have been considered a public health problem. In Colombia, 7.238 fatalities were recorded in 2021, with motorcycle riders representing the largest group of victims at 59.7%. Methods: The aim of this qualitative phenomenological study is to describe the risky experiences and deliberate actions of diverse road users that influence the self-management of the risk of traffic collisions. Results: Data were obtained from 22 participants: motorists, pedestrians and drivers. The content analysis describes various human conditions that affect self-management of the risk of traffic accidents, such as unsafe behaviors, non-compliance with traffic regulations by the different road actors, competitive culture among drivers, eagerness, among others. Additionally, factors related to care were determined: healthy recreational activities, promoting the value of one's own life and that of others, adequate time management and preventive behaviors by some road users. Conclusion: This research provides information on social and cultural aspects, experiences and risky behaviors of different road actors that influence the incidence of traffic accidents in Colombia.

Youth handball concussion prevention strategies: a workshop-based study with experts and end users.

Sport-related concussion (SRC) is a serious injury in youth team sports, including handball. While research on the prevention of SRC has made progress over the past 5 years, prevention strategies are lacking in handball. The aim was to explore and develop strategies focusing on information, rules and training that may prevent concussion in youth handball by incorporating knowledge from experts and end users. Using a participatory methodology, experts (physiotherapy, biomechanics: n=3) and end users (players, coaches, referees, coach educators: n=7) contributed their experience and knowledge in a 2-hour online workshop. Participants were given three videos illustrating typical high-risk concussion scenarios from handball games and a youth player's accompanying fictional written scenario. In group discussions inspired by the brainwriting method, participants were asked to provide ideas for possible SRC prevention strategies related to information, rules and/or training. Data were collected on a digital whiteboard and analysed using reflexive thematic analysis. Three themes were derived: (1) 'Coaches' responsibility: raise awareness of the risk of injury and act to promote safe environments'; (2) 'Players' responsibility: safe defence and attack'; and (3) 'Improvement of personal skills'. Experts and end users found information about high-risk situations and SRC symptoms, stricter rules and safe playing strategy training for goalkeepers, attacking and defending players, respectively, may effectively reduce SRC in handball. Information and stricter rules could be delivered through education and dissemination activities, whereas safe playing strategies should be trained at regular handball practice.

Improving Remedial Measures from Incident Investigations: A Study Across Ghanaian Mines.

Background: Learning from incidents for accident prevention is a two-stage process, involving the investigation of past accidents to identify the causal factors, followed by the identification and implementation of remedial measures to address the identified causal factors. The focus of past research has been on the identification of causal factors, with limited focus on the identification and implementation of remedial measures. This research begins to contribute to this gap. The motivation for the research is twofold. First, previous analyses show the recurring nature of accidents within the Ghanaian mining industry, and the causal factors also remain the same. This raises questions on the nature and effectiveness of remedial measures identified to address the causes of past accidents. Secondly, without identifying and implementing remedial measures, the full benefits of accident investigations will not be achieved. Hence, this study aims to assess the nature of remedial measures proposed to address investigation causal factors. Method: The study adopted SMARTER from business studies with the addition of HMW (H - Hierarchical, M - Mapping, and W - Weighting of causal factors) to analyse the recommendations from 500 individual investigation reports across seven different mines in Ghana. Results: The individual and the work environment (79%) were mostly the focused during the search for causes, with limited focus on organisational factors (21%). Forty eight percentage of the recommendations were administrative, focussing on fixing the problem in the immediate affected area or department of the victim(s). Most recommendations (70.4%) were support activities that only enhance the effectiveness of control but do not prevent/mitigate the failure directly. Across all the mines, there was no focus on evaluating the performance of remedial measures after their implementation. Conclusion: Identifying sharp-end causes leads to proposing weak recommendations which fail to address latent organisational conditions. The study proposed a guide for effective planning and implementation of remedial actions.

Prediction of the burden of road traffic injuries in Iran by 2030: Prevalence, death, and disability-adjusted life years.

PURPOSE: Road traffic accidents pose a global challenge with substantial human and economic costs globally. Iran experiences a high incidence of road traffic injuries, leading to a significant burden on society. This study aims to predict the future burden of road traffic injuries in Iran until 2030, providing valuable insights for policy-making and interventions to improve road safety and reduce the associated human and economic costs. METHODS: This analytical study utilized time series models, specifically autoregressive integrated moving average (ARIMA) and artificial neural networks (ANNs), to predict the burden of road traffic accidents by analyzing past data to identify patterns and trends in Iran until 2030. The required data related to prevalence, death, and disability-adjusted life years (DALYs) rates were collected from the Institute for Health Metrics and Evaluation database and analyzed using R software and relevant modeling and statistical analysis packages. RESULTS: Both prediction models, ARIMA and ANNs indicate that the prevalence rates (per 100,000) of all road traffic injuries, except for motorcyclist road injuries which have an almost flat trend, remaining at around 430, increase by 2030. Based on estimations of both models, the rates of death and DALYs due to motor vehicle and pedestrian road traffic injuries decrease. For motor vehicle road injuries, estimated trends decrease to approximately 520 DALYs and 10 deaths. Also, for pedestrian road injuries these rates reached approximately 300 DALYs and 6 deaths, according to the models. For cyclists and other road traffic injuries, the predicted DALY rates by the ANN model increase to almost 50 and 8, while predictions conducted by the ARIMA model show a static trend, remaining at 40 and approximately 6.5. Moreover, these rates for the prediction of death rate by the ANN model increased to 0.6 and 0.1, while predictions conducted by the ARIMA model show a static trend, remaining at 0.43 and 0.07. According to the ANN model, the predicted rates of DALY and death for motorcyclists decrease to 100 and approximately 2.7, respectively. On the other hand, predictions made by the ARIMA model show a static trend, with rates remaining at 200 and approximately 3.2, respectively. CONCLUSION: The prevalence of road traffic injuries is predicted to increase, while the death and DALY rates of road traffic injuries show different patterns. Effective intervention programs and safety measures are necessary to prevent and reduce road traffic accidents. Different interventions should be designed and implemented specifically for different groups of pedestrians, cyclists, motorcyclists, and motor vehicle drivers.

Validation and Improvement of the Saga Fall Risk Model: A Multicenter Retrospective Observational Study.

Purpose: We conducted a pilot study in an acute care hospital and developed the Saga Fall Risk Model 2 (SFRM2), a fall prediction model comprising eight items: Bedriddenness rank, age, sex, emergency admission, admission to the neurosurgery department, history of falls, independence of eating, and use of hypnotics. The external validation results from the two hospitals showed that the area under the curve (AUC) of SFRM2 may be lower in other facilities. This study aimed to validate the accuracy of SFRM2 using data from eight hospitals, including chronic care hospitals, and adjust the coefficients to improve the accuracy of SFRM2 and validate it. Patients and Methods: This study included all patients aged ≥20 years admitted to eight hospitals, including chronic care, acute care, and tertiary hospitals, from April 1, 2018, to March 31, 2021. In-hospital falls were used as the outcome, and the AUC and shrinkage coefficient of SFRM2 were calculated. Additionally, SFRM2.1, which was modified from the coefficients of SFRM2 using logistic regression with the eight items comprising SFRM2, was developed using two-thirds of the data randomly selected from the entire population, and its accuracy was validated using the remaining one-third portion of the data. Results: Of the 124,521 inpatients analyzed, 2,986 (2.4%) experienced falls during hospitalization. The median age of all inpatients was 71 years, and 53.2% were men. The AUC of SFRM2 was 0.687 (95% confidence interval [CI]:0.678-0.697), and the shrinkage coefficient was 0.996. SFRM2.1 was created using 81,790 patients, and its accuracy was validated using the remaining 42,731 patients. The AUC of SFRM2.1 was 0.745 (95% CI: 0.731-0.758). Conclusion: SFRM2 showed good accuracy in predicting falls even on validating in diverse populations with significantly different backgrounds. Furthermore, the accuracy can be improved by adjusting the coefficients while keeping the model's parameters fixed.

Efectividad de las intervenciones enfermeras en la prevención de caídas en adultos mayores en la comunidad y en entornos sanitarios: una revisión sistemática y metaanálisis de ECA / Effectiveness of nursing interventions in the prevention of falls in older adults in the community and in health care settings: A systematic review and meta-analysis of RCT

Objetivo: Estimar la efectividad de los programas de prevención de caídas en mayores de 65 años en los que participan profesionales de enfermería. Métodos: Se incluyeron ensayos clínicos aleatorizados disponibles a texto completo sobre la prevención de caídas en la comunidad realizada por enfermeras en personas mayores de 65 años y que informaran de la incidencia de dichas caídas. Se analizaron 14 bases de datos en el período de 2016 a 2018 de publicaciones en inglés, francés, portugués y español. La calidad de los artículos se evaluó de manera independiente y ciega por los revisores, que trabajaron en parejas usando para ello los dominios de riesgo de riesgo de la Colaboración Cochrane. Se utilizó el cociente de riesgos como medida del tamaño de efecto. Se asumió un modelo de efectos aleatorios para los análisis estadísticos. La influencia de las variables moderadoras de los estudios sobre los tamaños de efecto se realizó mediante ANOVA con un intervalo de confianza del 95% para cada categoría. Resultados: Se seleccionaron 31 estudios con 25.551 participantes, donde la intervención más frecuente fue la educación (57,1%), seguida de los modelos multifactoriales (37,1%). La probabilidad de caídas se redujo significativamente en los grupos intervención (RR +=0,87). Las intervenciones multifactoriales (RR +=0,89) y basadas en la educación (RR=+0,84) redujeron significativamente la probabilidad de caídas. Conclusiones: Descartando el sesgo de publicación, los programas de prevención llevados a cabo por enfermeras producen una reducción significativa del 10% de las caídas. Las intervenciones basadas en la educación y multifactoriales son las más efectivas cuando son llevadas a cabo por enfermeras.(AU)

Objective: To estimate the effectiveness of fall prevention programs in people aged 65 years and older involving nursing professionals. Methods: We included available full-text randomized clinical trials on nurse-led prevention of falls in the community in people over 65 years of age and reporting the incidence of such falls. An extensive search was performed in 14 databases covering the period 2016 to 2018 for publications in English, French, Portuguese and Spanish. The quality of the papers was assessed independently and blindly by reviewers working in pairs using the risk of bias dominios of the Cochrane Collaboration. The hazard ratio was used as a measure of the effect size of the incidence of falls. A random-effects model was assumed for statistical analyses. The influence of moderator variables of the studies on the effect sizes was performed using ANOVAs and its 95% CI for each moderator category. Results: A total of 31 randomized clinical trials were selected with 25,551 participants. The most frequent type of intervention was education (57.1%), followed by multifactorial models (37.1%). The probability of falling was significantly reduced by 13% in the intervention groups compared to the control groups (RR +=0.87). Multifactorial (RR +=0.89) and education-based (RR=+0.84) interventions significantly reduced the probability of falls by 11% and 16%, respectively. Conclusions: Discarding publication bias prevention programs carried out by nurses produce a significant 10% reduction in falls. Education-based and multifactorial interventions are the most effective when conducted by nurses.(AU)

Mass Casualty Incident Preparedness for Airport Emergencies: Report From an Aeroplane Crash Simulation at Guglielmo Marconi Airport, Bologna (Italy).

BACKGROUND: Airport emergencies are rare but potentially catastrophic; therefore, system preparedness is crucial. Airport emergency plans include the organization of emergency drills on a regular basis, including full-scale exercises, to train and test the entire rescue organization. OBJECTIVE: This report describes a full-scale simulation at Bologna International Airport, Italy, in October 2022, involving local EMS resources. METHODS: A full-scale aeroplane crash was simulated on the airport ground, activating the Airport emergency plan, and requiring the intervention of supplementary resources (ambulances, medical cars, and other emergency vehicles). RESULTS: Twenty-seven simulated patients were evaluated by EMS: START triage assessment was correct for 81.48% of patients; 11.11% were over-triaged and 7.41% were under-triaged. All patients were transported to the hospitals of the area. The simulation ended 2 hours and 28 minutes after the initial alarm. CONCLUSION: The response time proved a good response. Triage accuracy was correct in more than 80% of simulated patients. The availability of a trauma centre within 6 kilometres allowed the transportation of a quota of patients directly from the event, without affecting transportation times. Areas for improvement were identified in the communication within the different agencies and in moving ambulances within the airport runway without airport personnel guidance.

Effectiveness of nursing interventions in the prevention of falls in older adults in the community and in health care settings: A systematic review and meta-analysis of RCT.

OBJECTIVE: To estimate the effectiveness of fall prevention programs in people aged 65 years and older involving nursing professionals. METHODS: We included available full-text randomized clinical trials on nurse-led prevention of falls in the community in people over 65 years of age and reporting the incidence of such falls. An extensive search was performed in 14 databases covering the period 2016-2018 for publications in English, French, Portuguese and Spanish. The quality of the papers was assessed independently and blindly by reviewers working in pairs using the risk of bias dominios of the Cochrane Collaboration. The hazard ratio was used as a measure of the effect size of the incidence of falls. A random-effects model was assumed for statistical analyses. The influence of moderator variables of the studies on the effect sizes was performed using ANOVAs and its 95% CI for each moderator category. RESULTS: A total of 31 randomized clinical trials were selected with 25,551 participants. The most frequent type of intervention was education (57.1%), followed by multifactorial models (37.1%). The probability of falling was significantly reduced by 13% in the intervention groups compared to the control groups (RR+=0.87). Multifactorial (RR+=0.89) and education-based (RR=+0.84) interventions significantly reduced the probability of falls by 11% and 16%, respectively. CONCLUSIONS: Discarding publication bias prevention programs carried out by nurses produce a significant 10% reduction in falls. Education-based and multifactorial interventions are the most effective when conducted by nurses.

Coaches of youth field sports as delivery agents of injury prevention programmes: how are we training the trainers? A scoping review.

OBJECTIVE: To systematically map the coach education (CE) component of injury prevention programmes (IPPs) for youth field sports by identifying and synthesising the design, content and facilitation strategies used to address competency drivers and behaviour change. DESIGN: Scoping review. DATA SOURCES: PubMed, PsycInfo, EMBASE, CINAHL, SportDiscus and Google Scholar electronic databases were searched using keywords related to IPPs and youth field sports. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Studies of IPPs in youth field sports, that provided 'train-the-trainer' education to coaches as designated delivery agents. RESULTS: 20 studies from two field sports (soccer/football; n=17, Rugby Union; n=3) fulfilled the eligibility criteria. Eleven CE interventions occurred in the preseason and 18 occurred at one time-point (single day). Five studies cited use of a behavioural change theory or model in the design of their CE, most frequently the Health Action Process Approach model (n=5); and use of behavioural change techniques varied. Twelve of twenty studies (60%) reported some form of ongoing support to coaches following the CE primary intervention concurrent with IPP implementation. CONCLUSION: CE that occurs on 1 day (one time-point) is most popular for preparing coaches as delivery agents of IPPs in youth field sports. While recognising pragmatic barriers, more expansive in-service training, support and feedback may enhance the effective implementation of IPPs. TRIAL REGISTRATION NUMBER: https://doi.org/10.17605/OSF.IO/FMHGD.

Foreign research status of prevention of children s sexual assault from the perspective of perpetrators / 中国学校卫生

Abstract@#In recent years, the research perspective of the prevention and intervention of children s sexual assault abroad has expanded from the victim s perspective of children s self protection education and post mortem remedy to the screening and intervention education of perpetrators in advance, so as to implement the primary prevention of children s sexual assault from the source. The article will summarize the current situation of foreign research on child sexual assault prevention from the perspective of perpetrators, including the target population, prevention practice and forms, so as to provide a reference for the primary prevention of child sexual assault from the perspective of perpetrators in China.

An interpretable clustering approach to safety climate analysis: Examining driver group distinctions.

The transportation industry, particularly the trucking sector, is prone to workplace accidents and fatalities. Accidents involving large trucks accounted for a considerable percentage of overall traffic fatalities. Recognizing the crucial role of safety climate in accident prevention, researchers have sought to understand its factors and measure its impact within organizations. While existing data-driven safety climate studies have made remarkable progress, clustering employees based on their safety climate perception is innovative and has not been extensively utilized in research. Identifying clusters of drivers based on their safety climate perception allows the organization to profile its workforce and devise more impactful interventions. The lack of utilizing the clustering approach could be due to difficulties interpreting or explaining the factors influencing employees' cluster membership. Moreover, existing safety-related studies did not compare multiple clustering algorithms, resulting in potential bias. To address these problems, this study introduces an interpretable clustering approach for safety climate analysis. This study compares five algorithms for clustering truck drivers based on their safety climate perceptions. It also proposes a novel method for quantitatively evaluating partial dependence plots (QPDP). Then, to better interpret the clustering results, this study introduces different interpretable machine learning measures (Shapley additive explanations, permutation feature importance, and QPDP). The Python code used in this study is available at https://github.com/NUS-DBE/truck-driver-safety-climate. This study explains the clusters based on the importance of different safety climate factors. Drawing on data collected from more than 7,000 American truck drivers, this study significantly contributes to the scientific literature. It highlights the critical role of supervisory care promotion in distinguishing various driver groups. Moreover, it showcases the advantages of employing machine learning techniques, such as cluster analysis, to enrich the scientific knowledge in this field. Future studies could involve experimental methods to assess strategies for enhancing supervisory care promotion, as well as integrating deep learning clustering techniques with safety climate evaluation.

Diagrama de prevenção de quedas para pessoas idosas: revisão integrativa / Diagrama de prevención de caídas para personas mayores: revisión integradora / Fall prevention diagram for older adults: an integrative review

Resumo Objetivo Propor um diagrama de prevenção de quedas para pessoas idosas, baseado no Modelo de Promoção da Saúde de Nola Pender. Métodos A construção do diagrama foi embasada no modelo de Nola Pender e em seus elementos. Para isso, foi realizado um estudo de revisão integrativa, com o objetivo de coletar dados sobre características e experiências individuais, sentimentos e conhecimentos e adoção de comportamento saudável para prevenção de quedas. Após a coleta dessas informações, realizou-se análise de similitude dos estudos selecionados por meio do IRaMuTeQ. Os elementos obtidos da análise de similitude facilitaram o agrupamento dos estudos quanto aos elementos encontrados e, assim, proporcionaram a organização do diagrama de prevenção de quedas. Resultados A amostra final foi constituída de 54 artigos, divididos de acordo com os elementos do modelo de Nola Pender: 36 abordavam características e experiências individuais, 40 sentimentos e conhecimentos, e 20 eram referentes ao comportamento. Os elementos obtidos da análise de similitude geraram um leque semântico de palavras mais frequentes: queda, prevenção, mulher e medo. Já as palavras menos frequentes foram cognição, autoeficácia, transporte e planejamento, os quais contribuíram para a construção do diagrama. Conclusão A partir da revisão, elaborou-se um diagrama, que favoreceu a identificação dos fatores pessoais, barreiras e facilidades, para um comportamento desejável à prevenção de quedas.

Resumen Objetivo Proponer un diagrama de prevención de caídas para personas mayores, basado en el modelo de promoción de la salud de Nola Pender. Métodos La elaboración del diagrama se basó en el modelo de Nola Pender y sus elementos. Para tal fin, se realizó un estudio de revisión integradora con el objetivo de recopilar datos sobre características y experiencias individuales, sentimientos y conocimientos y adopción de un comportamiento saludable para la prevención de caídas. Después de recopilar la información, se realizó un análisis de similitud de los estudios seleccionados mediante IRaMuTeQ. Los elementos obtenidos del análisis de similitud permitieron agrupar los estudios respecto a los elementos encontrados y, de esta forma, proporcionaron la organización del diagrama de prevención de caídas. Resultados La muestra final estuvo compuesta por 54 artículos, divididos de acuerdo con los elementos del modelo de Nola Pender: 36 abordaban características y experiencias individuales, 40 sentimientos y conocimientos y 20 eran sobre el comportamiento. Los elementos obtenidos del análisis de similitud generaron un conjunto semántico de palabras más frecuentes: caída, prevención, mujer y miedo. Por otro lado, las palabras menos frecuentes fueron: cognición, autoeficacia, transporte y planificación, que contribuyeron para la elaboración del diagrama. Conclusión A partir de la revisión, se elaboró un diagrama que favoreció la identificación de los factores personales, barreras y facilidades para un comportamiento conveniente en la prevención de caídas.

Abstract Objective To propose a fall prevention diagram for older adults, based on Nola Pender's Health Promotion Model. Methods Diagram construction was based on Nola Pender's model and its elements. For this, an integrative review study was carried out with the objective of collecting data on individual characteristics and experiences, behavior-specific cognitions and affect and behavioral outcome for fall prevention. After collecting this information, a similarity analysis of the selected studies was carried out using IRaMuTeQ. The elements obtained from similarity analysis facilitated the grouping of studies regarding the elements found and thus provided fall prevention diagram organization. Results The final sample consisted of 54 articles, divided according to the elements of Nola Pender's model: 36 addressed individual characteristics and experiences, 40 referred to behavior-specific cognitions and affect, and 20 referred to behavioral outcome. The elements obtained from the similarity analysis generated a semantic range of the most frequent words: fall, prevention, woman and fear. The least frequent words were cognition, self-efficacy, transportation and planning, which contributed to diagram construction. Conclusion From the review, a diagram was prepared, which favored identifying personal factors, barriers and facilities for a desirable behavior to prevent falls.