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OBJECTIVE: To evaluate whether child pedestrian safety training in a smartphone-based virtual reality (VR) environment is not inferior to training in a large, semi-immersive VR environment with demonstrated effectiveness. METHODS: Five hundred 7- and 8-year-old children participated; 479 were randomized to one of two conditions: Learning to cross streets in a smartphone-based VR or learning in a semi-immersive kiosk VR. The systems used identical virtual environments and scenarios. At baseline, children's pedestrian skills were assessed in both VR systems and through a vehicle approach estimation task (judging speed/distance of oncoming traffic on monitor). Training in both conditions comprised at least six 30-min sessions in the randomly assigned VR platform and continued for up to 25 visits until adult-level proficiency was obtained. Following training and again 6 months later, children completed pedestrian safety assessments identical to baseline. Three outcomes were considered from assessments in each VR platform: Unsafe crossings (collisions plus close calls), time to contact (shortest time between child and oncoming simulated traffic), and missed opportunities (unselected safe opportunities to cross). RESULTS: Participants achieved adult-level street-crossing skill through VR training. Training in a smartphone-based VR system was generally not inferior to training in a large semi-immersive VR system. There were no adverse effects. CONCLUSIONS: Seven- and 8-year-old children can learn pedestrian safety through VR-based training, including training in a smartphone-based VR system. Combined with recent meta-analytic results, the present findings support broad implementation and dissemination of child pedestrian safety training through VR, including smartphone-based VR systems.
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Peatones , Seguridad , Teléfono Inteligente , Realidad Virtual , Humanos , Niño , Masculino , Femenino , Accidentes de Tránsito/prevención & control , CaminataRESUMEN
BACKGROUND: Firearms kill over 130 Americans daily. Most deaths are the result of intentional acts, but in 2021, 549 deaths (1.5 deaths/day) were unintentional. Strategies to prevent unintentional versus intentional firearms deaths differ. This study describes unintentional firearm-related mortality across the US states and within individual states between 2001 and 2021 and considers factors that might explain disparities across states. METHODS: Unintentional firearms mortality from 2001 to 2021, both for the full country and by state, was obtained online along with data for five state-level predictors: rurality, non-white population, poverty, population and gun ownership. RESULTS: The highest unintentional firearm-related mortality rates clustered in Southeastern states, followed by states in the Northern Plains and Mountain West. The lowest rates were in the Northeast, followed by scattered states in the West and Midwest. At the state level, unintentional firearms mortality correlated positively with per cent below the poverty level (r=0.54, p<0.01), rural (r=0.59, p<0.01) and owning firearms (r=0.72, p<0.01). In a multivariable regression model predicting unintentional firearms mortality by state, three factors emerged as significant: per cent white (ß=-0.22, p<0.05), below the poverty level (ß=0.43, p<0.01) and owning firearms (ß=0.54, p<0.01). CONCLUSIONS: Large disparities exist across the 50 US states in unintentional firearms mortality. Crude rates in the most afflicted states are ~10 times those in the least afflicted states. Nationwide, over 12 000 lives were lost to unintentional firearms mortality between 2001 and 2021. Factors that create disparities are multifaceted and include rurality, poverty and firearms ownership.
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BACKGROUND: Multiple distraction indicators have been applied to measure street-crossing distraction but their validities in predicting pedestrian safety are poorly understood. METHODS: Based on a video-based observational study, we compared the validity of four commonly used distraction indicators (total duration of distraction while crossing a street, proportion of distracted time over total street-crossing time, duration of the longest distraction time, and total number of distractions) in predicting three pedestrian safety outcomes (near-crash incidence, frequency of looking left and right, and speed crossing the street) across three types of distraction (mobile phone use, talking to other pedestrians, eating/drinking/smoking). Change in Harrell's C statistic was calculated to assess the validity of each distraction indicator based on multivariable regression models including only covariates and including both covariates and the distraction indicator. RESULTS: Heterogeneous capacities in predicting the three safety outcomes across the four distraction indicators were observed: 1) duration of the longest distraction time was most predictive for the occurrence of near-crashes and looks left and right among pedestrians with all three types of distraction combined and talking with other pedestrians (Harrell's C statistic changes ranged from 0.0310 to 0.0335, P < 0.05), and for the occurrence of near-crashes for pedestrians involving mobile phone use (Harrell's C statistic change: 0.0053); 2) total duration of distraction was most predictive for speed crossing the street among pedestrians with the combination and each of the three types of distraction (Harrell's C statistic changes ranged from 0.0037 to 0.0111, P < 0.05), frequency of looking left and right among pedestrians distracted by mobile phone use (Harrell's C statistic change: 0.0115), and the occurrence of near-crash among pedestrians eating, drinking, or smoking (Harrell's C statistic change: 0.0119); and 3) the total number of distractions was the most predictive indicator of frequency of looking left and right among pedestrians eating, drinking, or smoking (Harrell's C statistic change: 0.0013). Sensitivity analyses showed the results were robust to change in grouping criteria of the four distraction indicators. CONCLUSIONS: Future research should consider the pedestrian safety outcomes and type of distractions to select the best distraction indicator.
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Peatones , Seguridad , Humanos , Accidentes de Tránsito , Asunción de Riesgos , Envío de Mensajes de Texto , Caminata , Estudios Observacionales como Asunto , Grabación en VideoRESUMEN
Objective: Adolescence is a high-risk period for traffic injury. One factor that may impact adolescent safety in traffic is the presence of peers. We conducted a quasi-experimental research study to examine the impact of peer presence, peer familiarity, and peer group size on adolescent pedestrian risk-taking intentions in both sidewalk and street-crossing settings. Methods: 607 students aged 12-18 years from Nantong city, China, completed a questionnaire that presented 20 traffic scenarios. The scenarios varied based on a 3 (peer group size: no peer vs. one peer vs. multiple peers) x 2 (peer familiarity: familiar vs. unfamiliar) x 2 (traffic setting: crossing the street vs. walking on the roadside) experimental design. Adolescents' responses indicated safer vs riskier intentions in each situation. Results: Results found that: (1) Adolescents were safer when walking on the sidewalk than when crossing the street; (2) Whether crossing the street or walking on the sidewalk, adolescents' behavioral intentions were safer when there were peers present than when there were no peers present; (3) Adolescents' safety tended to be higher overall with unfamiliar peers than with familiar peers; (4) Adolescents were less safe when crossing the street with familiar peer(s) than with unfamiliar peer(s), but no differences emerged when walking on the sidewalk. Conclusions: Adolescents report safer behavior when walking with a peer or peers compared with walking alone. Familiar peers reduce adolescents' safety of behavior intentions in traffic, especially when crossing the street.
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OBJECTIVES: Child pedestrian injuries represent a significant public health challenge. Understanding the most complex cognitive skills required to cross streets helps us understand, improve, and protect children in traffic, as underdeveloped cognitive skill likely impacts children's pedestrian safety. One complex component of street-crossing is the cognitive-perceptual task of judging time-to-arrival of oncoming traffic. We examined capacity of 7- and 8-year-olds to judge time-to-arrival for vehicles approaching from varying distances and speeds, as well as improvement in those judgments following intensive street-crossing training in a virtual reality (VR) pedestrian simulator. METHODS: 500 seven- and eight-year-olds participated in a randomized trial evaluating use of a large kiosk VR versus smartphone-based VR headset to teach street-crossing skills. Prior to randomization into VR training condition and also prior to initiation of any training, children engaged in a video-based vehicle approach estimation task to assess ability to judge traffic time-to-arrival. They then engaged in multiple VR-based pedestrian safety training sessions in their randomly assigned condition until achieving adult functioning. Soon after training and again 6 months later, children repeated the vehicle estimation task. RESULTS: Prior to randomization or training, children were more accurate judging time to arrival for closer versus farther traffic, and rapidly-moving versus slower-moving traffic, but those results were subsumed by a speed x distance interaction. The interaction suggested distance cues were used more prominently than speed cues, and speed had varying effects at different distances. Training group had minimal effect on learning and all children became significantly better at judging vehicle arrival times following training. CONCLUSIONS: Children tend to underestimate vehicle arrival times. Distance cues are more impactful on time-to-arrival judgments than speed cues, but children's estimations based both on manipulations of vehicle speed and manipulations of vehicle distance improved post-training. Improvements were retained six months later. This finding is consistent with psychophysics research suggesting vehicle approach judgments rely on optical size and looming, which are impacted both by vehicle speeds and distances. Implementation of VR-based training for child pedestrian safety is recommended, as it may improve children's judgment of vehicle time-to-arrival, but it must be conducted cautiously to avoid iatrogenic effects.
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OBJECTIVE: Child pedestrian injuries are a significant public health problem, largely because children have underdeveloped cognitive-perceptual capacity to judge traffic unsupervised. This study used a virtual reality (VR) environment to examine the impact of children's age, as well as sex and sensation-seeking personality, on pedestrian behavior in different risk contexts. METHODS: 405 Norwegian children (7-10-year-olds) engaged in street-crossing scenarios within a VR environment. Children crossed a bicycle path and urban roadway six times, each with increasing density and complexity of traffic. Hits and near hits were recorded. Self-reported sensation-seeking personality was assessed. RESULTS: Children were more likely to experience crashes in the tasks that offered higher probability risk. Overall, 106 children crossed safely in all tasks. Dangerous crossings were associated with male sex, higher thrill and intensity seeking personality, and denser traffic. Age was not related to any traffic safety outcomes. CONCLUSION: As expected, children were struck by vehicles more often in complex traffic contexts than in less complex ones. The results support previous findings and suggest that boys and sensation seekers have elevated risk of pedestrian injury, and that individual differences in children, rather than age alone, must be considered when determining if children are capable of safely negotiating traffic unsupervised.
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INTRODUCTION: Pedestrian injuries represent a leading cause of child death globally. One prevention strategy is teaching children street-crossing skills. Virtual reality (VR) has emerged as a strategy to offer repeated street-crossing practice and overcome ethical barriers of training children in live traffic. This study addressed two questions pertinent to implementation of child pedestrian safety training within VR: (a) how much training do children require to achieve adult street-crossing competency, and (b) what individual differences might facilitate children to acquire that competency more efficiently? METHODS: Five hundred 7- and 8-year-olds were recruited. Children completed pedestrian safety training within VR for up to 25 thirty-minute training sessions until they achieved adult levels of mastery. At baseline, four cognitive-perceptual skills (visual memory, visual perception, processing speed, working memory) and parent-reported externalizing symptomatology were assessed. RESULTS: On average, children achieved adult pedestrian safety competency after 10.0 training sessions (SD = 4.8). Just one child (<1%) failed to achieve adult pedestrian functioning after 25 training sessions. In univariate analyses, boys took slightly longer than girls to achieve adult functioning, and visual memory, visual perception, processing speed, working memory, and fewer externalizing symptoms were all positively associated with shorter time to mastery. In a multivariable model, only child age was a statistically significant predictor. CONCLUSION: Almost all participants achieved adult street-crossing skills competency through VR training, although they required about 10 sessions on average. Analysis of predictor variables confirmed that nearly all 7- and 8-year-olds are trainable. PRACTICAL APPLICATION: Implementation of VR pedestrian safety training is recommended, but must be conducted cautiously to ensure children are not permitted to engage independently in traffic until they are assessed and demonstrate sufficient skills.
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Accidentes de Tránsito , Peatones , Seguridad , Realidad Virtual , Humanos , Niño , Masculino , Femenino , Accidentes de Tránsito/prevención & control , Aprendizaje , Caminata , AdultoRESUMEN
Background: Internet-based media stories provide valuable information for emerging risks of product-related child injury prevention and control, but critical methodological challenges and high costs of data acquisition and processing restrict practical use by stakeholders. Methods: We constructed a data platform through literature reviews and multi-round research group discussions. Developed components included standard search strategies, filtering criteria, textual document classification, information extraction standards and a keyword dictionary. We used ten thousand manually labelled media stories to validate the textual document classification model, which was established using the Bidirectional Encoder Representation from Transformers (BERT). Multiple information extraction methods based on natural language processing algorithms were adopted to extract data for 29 structured variables from media stories. They were evaluated through manual validation of 1000 media stories about product-related child injury. We mapped the geographic distribution of media sources and media-reported product-related child injury events. Results: We developed an internet-based product-related child injury textual data platform, IPCITDP, consisting of four layers - automatic data search and acquisition, data processing, data storage, and data application - concerning product-related child injury online media stories in China. Each layer occurred daily. External validation demonstrated high performance for the BERT classification model we established (accuracy = 0.9703) and the combined information extraction strategies (accuracy >0.70 for 25 variables). As of 31 December 2023, IPCITDP collected 35 275 eligible product-related child injury reports from 13 261 news media websites or social media platform accounts which were geographically located across all 31 mainland Chinese provinces and covered over 97% of prefecture-level cities. The injury cases in IPCITDP were typically reported several months or years earlier than official announcements about the product-related child injury risks. Our data platform added data concerning 15 supplementary variables that the national product-related injury surveillance system lacks. Two examples demonstrate the value of IPCITDP in supplementing existing data and providing early epidemiological detection of emerging signals concerning product-related child injury: magnetic beads and electric self-balancing scooters. Conclusions: Our data platform provides injury data that can support early detection of new product-related child injury characteristics and supplement existing data sources to reduce the burden of product-related injury among Chinese children.
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Internet , Heridas y Lesiones , Humanos , China/epidemiología , Niño , Heridas y Lesiones/epidemiología , PreescolarRESUMEN
Introduction: To examine the recent trends in child injury mortality in China. Methods: Injury mortality data of 2010-2021 for children and adolescents aged 0-19 years were from the China Health Statistics Yearbook. Injury mortality disparities across urban vs. rural locations, gender, and age groups were scrutinized. Annual percent change (APC), average annual percent change (AAPC), and their 95% confidence intervals (95% CI) were estiamted usimg Joinpoint regression models. Results: The age-standardized injury mortality significantly dropped from 21.87 to 9.41 per 100,000 population among children and youth aged 0-19 years during 2010-2021, with an AAPC of -6.7% (95% CI: -8.2%, -5.2%). The urban-rural disparity and gender gap in injury mortality reduced gradually. In 2021, drowning and road traffic crashes were the top two causes of child injury deaths, explaing 31.1% and 27.9% of total injury deaths, respectively. Suffocation accounted for 62.3% of injury deaths among infants younger than a year. Alarmingly, the suicide mortality rate rose from 2.16 to 3.42 per 100,000 population between 2010 and 2021 among teenagers aged 15-19 years. Subgroup analyses yielded similar results. Conclusions: During 2010-2021, the injury mortality decreased significantly among Chinese children and adolescents, and the responding urban-rural disparities narrowed.
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Child impeding packs are difficult for children to open so protect them from unintended access to hazardous contents inside the pack. However, if packs are difficult for adults to open, in normal usage scenarios, this may result in a higher occurrence of packs being left open. This research explores differences in ease of usage and closure compliance between two types of child impeding packs of liquid laundry detergent capsules. The two packs, "Pinch & Lift" and "Press & Lift", had different opening and closing mechanisms. "Press & Lift" also included an audible "click" signal to confirm complete closure to the user. The research was performed across two studies. In both studies, the packs were used in participants' homes according to their usual storage and usage practices as replacements to their current liquid laundry detergent capsule pack. All participants had small children living with them in their household. In Study 1, self-reported closure and ease of use data was collected from 99 adult participants in Germany. They used each package in their home for 10 days. Study 2 extended Study 1 by measuring closure rates with an objective assessment using in pack sensors for a 10-day period for each pack. Self-reported closure and ease of use data were also collected. Study 2 was conducted with 87 participants in the United Kingdom. Results across both studies showed "Press & Lift" with the audible "Click" close signal to be rated by participants to be significantly easier to open and close and have a higher self-reported closure rate than "Pinch & Lift". In addition, Study 2 results demonstrated higher closure rates using "Press & Lift" based on the sensor-measured closure compliance. Together, the results suggest transition to a pack with a mechanism that is child impeding and easier for an adult to use with an audible closure signal, like the "Press & Lift" system, has potential to reduce child access to a capsule from a pack by reducing the likelihood of the pack being left open by the adult user. Ultimately, such packs could protect children from potential poisoning injury across a range of consumer products.
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Detergentes , Humanos , Adulto , Femenino , Masculino , Niño , Embalaje de Productos/métodos , Persona de Mediana Edad , Adulto Joven , Reino Unido , Alemania , Seguridad de Productos para el ConsumidorRESUMEN
Introduction: Published global and country-specific deaths associated with population aging are based on decomposition methods that have significant limitations. Methods: A new decomposition method was developed and its performance was compared with two frequently used methods. The new method was employed to calculate global deaths associated with population aging between 1990 and 2019, using estimates from the Global Burden of Disease Study 2019 (GBD 2019). Results: Compared to the two frequently-used existing methods, the new decomposition method generated results that are more consistent with logical expectations. Using the new method, the number of global deaths associated with population aging between 1990 and 2019 was 23.3 million. Upper middle-income countries accounted for 43% of global deaths related to population aging. The most deaths associated with population aging occurred from three types of disease: ischemic heart disease (5.0 million), stroke (3.8 million), and chronic obstructive pulmonary disease (2.2 million). China, India, Japan, the United States of America, and Brazil had the largest number of deaths related to population aging. Loss related to population aging was completely or partially counteracted by the reduction in mortality in 195 of the 200 countries and territories experiencing population aging (97.5%). Conclusions: The new decomposition method achieves more justifiable results associated with population aging than existing methods. Globally, population aging was associated with a substantial increase of deaths between 1990 and 2019, but it was totally or partially offset by the reduction in mortality in 97.5% of countries and territories.