scholarly journals Research on Highway Roadside Safety

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Guozhu Cheng ◽  
Rui Cheng ◽  
Yulong Pei ◽  
Juan Han
Keyword(s):  
Risk Factors ◽  
Injury Risk ◽  
Traffic Accidents ◽  
Cost Benefit Analysis ◽  
Heavy Traffic ◽  
Significant Risk ◽  
Small Radius ◽  
Future Research ◽  
Roadside Safety ◽  
Safety Design

Frequent and serious traffic accidents have become a focal issue because they hinder the sustainable development of society. In China, roadside accidents account for 40% of fatalities resulting from traffic accidents. Roadside safety has become an important issue of traffic management departments worldwide, and performing research on roadside safety contributes to improving the level of road safety and reducing the number of traffic accidents and fatalities. By systematically sorting a large number of relevant studies, this paper analyzed the current development trends of roadside safety in terms of three aspects (i.e., the year of publication, the country of publication, and the source of publication) and then summarized the research status, existing gaps, and future development directions of roadside safety in terms of three aspects: the frequency of roadside accidents, the severity of roadside accidents, and the practice of roadside safety design. This paper reviewed the different prediction methods and evaluation models for the frequency and severity of roadside accidents. According to the number of times mentioned in the literature, the first five significant risk factors that cause frequent roadside accidents are small-radius curves, heavy traffic, objects adjacent to the lane (such as poles and trees), narrow lanes, and narrow shoulders, and the first five significant risk factors that cause fatal roadside accidents are driver age ≤25 or ≥65, alcohol, speeding, failure to use seat belts, and heavy trucks. Future research on the frequency and severity of roadside accidents should focus on quantitatively analyzing the probability of roadside accidents and occupant injury risk and developing methods for identifying roadside accident blackspots. For roadside safety design, roadside clear zones and safety slopes should be precisely quantified based on a cost-benefit analysis in future studies.

A Literature Review of Factors Influencing Injurious Falls

2018 ◽  
Vol 29 (3) ◽  
pp. 141-148
Author(s):  
Faithe J. X. Poh ◽  
Shefaly Shorey
Keyword(s):  
Risk Factors ◽  
Injury Risk ◽  
Significant Risk ◽  
Future Research ◽  
Primary Research ◽  
Extrinsic Factors ◽  
Intrinsic Factors ◽  
Injurious Falls ◽  
Injury Risk Factors ◽  
Include Body Mass Index

Falls pose substantial challenges to health care institutions. This review aims to provide a synthesis and critique of studies that investigated fall injury risk factors and to identify significant risk factors that predispose patients to injurious falls. A comprehensive literature search was conducted in PubMed, COCHRANE, Embase, Cumulative Index to Nursing and Allied Heath Literature, and Scopus. Additional records were searched through Google Scholar and bibliographies of the retrieved articles. Twenty-three primary research studies were included. Demographic, intrinsic, and extrinsic factors have been identified. Demographics include age, gender, and marital status. Intrinsic factors include body mass index, medication, and preexisting conditions, and extrinsic factors include environmental factors. Several factors were found to be inconclusive. These factors should be considered and examined further. Future research may evaluate interventions focusing on targeted risk factors of injurious falls. Clinical guidelines addressing the factors in this review may be considered after further testing and research.

Trail running injury risk factors: a living systematic review

2022 ◽  
pp. bjsports-2021-104858
Author(s):  
Carel Viljoen ◽  
Dina C (Christa) Janse van Rensburg ◽  
Willem van Mechelen ◽  
Evert Verhagen ◽  
Bruno Silva ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Injury Risk ◽  
Previous History ◽  
Future Research ◽  
Injury Incidence ◽  
Extrinsic Factors ◽  
Factors Associated ◽  
Injury Risk Factors ◽  
Trail Running

ObjectiveTo review and frequently update the available evidence on injury risk factors and epidemiology of injury in trail running.DesignLiving systematic review. Updated searches will be done every 6 months for a minimum period of 5 years.Data sourcesEight electronic databases were searched from inception to 18 March 2021.Eligibility criteriaStudies that investigated injury risk factors and/or reported the epidemiology of injury in trail running.ResultsNineteen eligible studies were included, of which 10 studies investigated injury risk factors among 2 785 participants. Significant intrinsic factors associated with injury are: more running experience, level A runner and higher total propensity to sports accident questionnaire (PAD-22) score. Previous history of cramping and postrace biomarkers of muscle damage is associated with cramping. Younger age and low skin phototypes are associated with sunburn. Significant extrinsic factors associated with injury are neglecting warm-up, no specialised running plan, training on asphalt, double training sessions per day and physical labour occupations. A slower race finishing time is associated with cramping, while more than 3 hours of training per day, shade as the primary mode of sun protection and being single are associated with sunburn. An injury incidence range 0.7–61.2 injuries/1000 hours of running and prevalence range 1.3% to 90% were reported. The lower limb was the most reported region of injury, specifically involving blisters of the foot/toe.ConclusionLimited studies investigated injury risk factors in trail running. Our review found eight intrinsic and nine extrinsic injury risk factors. This review highlighted areas for future research that may aid in designing injury risk management strategies for safer trail running participation.PROSPERO registration numberCRD42021240832.

scholarly journals Recalibrating the risk of hamstring strain injury (HSI): A 2020 systematic review and meta-analysis of risk factors for index and recurrent hamstring strain injury in sport

2020 ◽  
Vol 54 (18) ◽  
pp. 1081-1088 ◽  
Author(s):  
Brady Green ◽  
Matthew N Bourne ◽  
Nicol van Dyk ◽  
Tania Pizzari
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Evidence Synthesis ◽  
Meta Analysis ◽  
Significant Risk ◽  
Older Age ◽  
Future Research ◽  
Hamstring Strain ◽  
Best Evidence Synthesis ◽  
History Of

ObjectiveTo systematically review risk factors for hamstring strain injury (HSI).DesignSystematic review update.Data sourcesDatabase searches: (1) inception to 2011 (original), and (2) 2011 to December 2018 (update). Citation tracking, manual reference and ahead of press searches.Eligibility criteria for selecting studiesStudies presenting prospective data evaluating factors associated with the risk of index and/or recurrent HSI.MethodSearch result screening and risk of bias assessment. A best evidence synthesis for each factor and meta-analysis, where possible, to determine the association with risk of HSI.ResultsThe 78 studies captured 8,319 total HSIs, including 967 recurrences, in 71,324 athletes. Older age (standardised mean difference=1.6, p=0.002), any history of HSI (risk ratio (RR)=2.7, p<0.001), a recent HSI (RR=4.8, p<0.001), previous anterior cruciate ligament (ACL) injury (RR=1.7, p=0.002) and previous calf strain injury (RR=1.5, p<0.001) were significant risk factors for HSI. From the best evidence synthesis, factors relating to sports performance and match play, running and hamstring strength were most consistently associated with HSI risk. The risk of recurrent HSI is best evaluated using clinical data and not the MRI characteristics of the index injury.Summary/conclusionOlder age and a history of HSI are the strongest risk factors for HSI. Future research may be directed towards exploring the interaction of risk factors and how these relationships fluctuate over time given the occurrence of index and recurrent HSI in sport is multifactorial.

scholarly journals Injury incidence and risk factors: a cohort study of 706 8-km or 16-km recreational runners

2019 ◽  
Vol 5 (1) ◽  
pp. e000489 ◽  
Author(s):  
Joan Dallinga ◽  
Rogier Van Rijn ◽  
Janine Stubbe ◽  
Marije Deutekom
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Cohort Study ◽  
Injury Risk ◽  
Significant Risk ◽  
Personal Characteristics ◽  
Significant Risk Factor ◽  
Baseline Survey ◽  
Injury Incidence ◽  
Recreational Runners

ObjectivesTo report (1) the injury incidence in recreational runners in preparation for a 8-km or 16-km running event and (2) which factors were associated with an increased injury risk.MethodsProspective cohort study in Amsterdam, the Netherlands. Participants (n=5327) received a baseline survey to determine event distance (8 km or 16 km), main sport, running experience, previous injuries, recent overuse injuries and personal characteristics. Three days after the race, they received a follow-up survey to determine duration of training period, running distance per week, training hours, injuries during preparation and use of technology. Univariate and multivariate regression models were applied to examine potential risk factors for injuries.Results1304 (24.5%) participants completed both surveys. After excluding participants with current health problems, no signed informed consent, missing or incorrect data, we included 706 (13.3%) participants. In total, 142 participants (20.1%) reported an injury during preparation for the event. Univariate analyses (OR: 1.7, 95% CI 1.1 to 2.4) and multivariate analyses (OR: 1.7, 95% CI 1.1 to 2.5) showed that injury history was a significant risk factor for running injuries (Nagelkerke R-square=0.06).ConclusionAn injury incidence for recreational runners in preparation for a running event was 20%. A previous injury was the only significant risk factor for running-related injuries.

A retrospective case-control study to investigate horse and jockey level risk factors associated with horse falls in Irish Point-to-Point races

2020 ◽  
Vol 16 (3) ◽  
pp. 225-234
Author(s):  
L.J. Smith ◽  
G. Tabor ◽  
J. Williams
Keyword(s):  
Risk Factors ◽  
Fall Risk ◽  
Model Building ◽  
Significant Risk ◽  
Case Control ◽  
Future Research ◽  
Factors Associated ◽  
Increased Risk ◽  
Matched Case ◽  
Point To Point

Horse racing as a high-risk sport can pose a significant risk to equine welfare. There have been limited epidemiological reviews of fall risk specific to point-to-point racing. This study aimed to identify horse and jockey level risk factors associated with horse falls and compare these to published findings for Hurdle and Steeplechase racing. The study used a retrospective matched case-control design. Relevant variables were identified, and information was collated for all races in the 2013/2014 and 2014/2015 seasons. Cases and controls were matched with a 1:3 ratio. Controls (n=2,547) were selected at random from all horses that completed in the same race (n=849). Horse and jockey level variables were analysed through univariable analysis to inform multivariable model building. A final matched case-control multivariable logistic regression model was refined, using fall/no fall as the dependent variable, through a backward stepwise process. Horse age was associated with an increased risk of horse falls. For every 1 unit increase in age there was a 1.2 times increased fall risk. The number of races ran within 12 months was associated with a decreased risk of falling. The jockeys previous seasons percentage wins was associated with the risk of horse falls. Jockeys who had 0-4% wins and 5-9% wins had an increase in risk compared to those who had over 20% wins/runs. The jockeys previous seasons percentage of falls (F) or unseating of the rider (UR) was associated with the risk of horse falls with jockeys who had over 20% F/UR having a 50% increased chance of falling compared to those who had 0-4% F/UR. Retrospective analysis of horse and jockey falls has exposed risk factors that have been previously identified in hurdle and steeplechase racing. Identification of risk factors is essential when considering future research and interventions aimed at improving horse and jockey safety.

scholarly journals There Is No Community Here: Living Alone, Place, and Older Peoples' Risk of Social Isolation

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 122-123
Author(s):  
Rachel Weldrick
Keyword(s):  
Risk Factors ◽  
Older People ◽  
Social Exclusion ◽  
Social Isolation ◽  
Significant Risk ◽  
Later Life ◽  
Community Dwelling ◽  
Living Alone ◽  
Future Research ◽  
Diverse Range

Abstract Existing research has identified significant risk factors for experiencing social isolation in later life including chronic health conditions, mobility impairments, and living alone among others. Although many older people who live alone maintain active social lives, living alone remains a top predictor of social isolation. Less is known about other types of risk factors, such as place-based risks and social exclusion. Despite calls to examine the role of place and social exclusion in social isolation risk, few studies have investigated the links. Models of isolation risk have often omitted place-based factors and social exclusion and focused largely on individual-level risks. In order to address these gaps, this paper presents the findings of 17 in-depth, qualitative interviews with community-dwelling older people who live alone (aged 65-93). Participants were recruited using a theoretical sampling strategy to ensure that a diverse range of neighbourhood types were represented among the participants (e.g., walkable vs. car-dependent neighbourhoods). Interview transcripts were analyzed using a constructivist grounded approach resulting in several major themes. Participants described aspects of their local environments as shaping their risk of isolation including infrastructure and amenities delivered in place, and neighbourhood makeup, among others. These themes are further examined through the lens of place-based exclusion and used to conceptualize how dimensions of both place and social exclusion fit into the model of known isolation risk factors. An adapted model of risk is presented to guide future research and intervention planning.

Resident Aggression and Abuse in Assisted Living

2016 ◽  
Vol 37 (8) ◽  
pp. 947-964 ◽  
Author(s):  
Gilbert Gimm ◽  
Syeda Chowdhury ◽  
Nicholas Castle
Keyword(s):  
Risk Factors ◽  
Assisted Living ◽  
Significant Risk ◽  
Future Research ◽  
Assisted Living Facilities ◽  
Care Providers ◽  
Term Care ◽  
Older Americans ◽  
Residential Care Facilities ◽  
Level Data

This article estimates the prevalence and identifies risk factors of resident aggression and abuse in assisted living facilities. We conducted multivariate analyses of resident-level data from an analytic sample of 6,848 older Americans in the 2010 National Survey of Residential Care Facilities. Nationwide, 7.6% of assisted living residents engaged in physical aggression or abuse toward other residents or staff in the past month, 9.5% of residents had exhibited verbal aggression or abuse, and 2.0% of resident engaged in sexual aggression or abuse toward other residents or staff. Dementia and severe mental illness were significant risk factors for all three types of resident aggression and abuse. Resident aggression and abuse in assisted living facilities is prevalent and warrants greater attention from policy makers, researchers, and long-term care providers. Future research is needed to support training and prevention efforts to mitigate this risk.

scholarly journals Biological Maturity Status, Anthropometric Percentiles, and Core Flexion to Extension Strength Ratio as Possible Traumatic and Overuse Injury Risk Factors in Youth Alpine Ski Racers: A Four-Year Prospective Study

2020 ◽  
Vol 10 (21) ◽  
pp. 7623
Author(s):  
Lisa Steidl-Müller ◽  
Carolin Hildebrandt ◽  
Martin Niedermeier ◽  
Erich Müller ◽  
Michael Romann ◽  
...  
Keyword(s):  
Risk Factors ◽  
Overuse Injury ◽  
Injury Risk ◽  
Significant Risk ◽  
Overuse Injuries ◽  
Strength Ratio ◽  
Maturity Group ◽  
Traumatic Injuries ◽  
Biological Maturity ◽  
Weight Percentile

The aim of the present study was to investigate prospectively the role of biological maturity status, anthropometric percentiles, and core flexion to extension strength ratios in the context of traumatic and overuse injury risk identification in youth ski racing. In this study, 72 elite youth ski racers (45 males, 27 females) were prospectively observed from the age of 10 to 14 years. Anthropometric parameters, biological maturity status, and core flexion to extension strength ratios were assessed twice per year. Type and severity of traumatic and overuse injuries were prospectively recorded during the 4 years. Generalized estimating equations were used to model the binary outcome (0: no injury; 1: ≥1 injury). Factors tested on association with injury risk were sex, relative age quarter, age, maturity group, puberty status, core flexion to extension strength ratio, height percentile group, and weight percentile group. In total, 104 traumatic injuries and 39 overuse injuries were recorded. Age (odds ratio (OR) = 3.36) and weight percentile group (OR = 0.38) were significant risk factors for traumatic injuries (tendency: pubertal status). No significant risk factor for overuse injuries was identified (tendency: maturity group, puberty status, height percentile group). Future studies should focus on identifying risk factors for overuse injuries; growth rates might be of importance.

scholarly journals Risk Factors for Baseball-Related Arm Injuries: A Systematic Review

2019 ◽  
Vol 7 (2) ◽  
pp. 232596711982555 ◽  
Author(s):  
Cristine E. Agresta ◽  
Kevin Krieg ◽  
Michael T. Freehill
Keyword(s):  
Risk Factors ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Injury Risk ◽  
Significant Risk ◽  
Baseball Players ◽  
Elbow Injury ◽  
Prospective Cohort Studies ◽  
Shoulder Range Of Motion ◽  
Arm Injuries

Background: Contributing factors for arm injuries among baseball players have been described. However, no review has systematically identified risk factors with findings from prospective cohort studies. Purpose: To systematically review prospective cohort studies that investigated risk factors for arm injury among baseball players. Study Design: Systematic review; Level of evidence, 3. Methods: Electronic databases were searched for relevant English-language studies. Titles, abstracts, and full-text articles were screened by 2 blinded reviewers to identify only prospective cohort studies and randomized controlled trials. Two independent investigators screened each article for appropriate criteria. Results: Fourteen prospective articles were selected for this review. Youth, high school, and professional baseball players (N = 2426) were pooled, and 43 risk factors were assessed in relation to general arm, shoulder, and elbow injuries. All studies evaluated players for at least 1 season. Deficits in preseason shoulder range of motion and strength were significant risk factors for general arm or shoulder injury among high school and professional players. Elbow and shoulder varus torque at peak external shoulder rotation during pitching, high pitch velocity, and shoulder rotational and flexion deficits were risk factors for elbow injuries among professional pitchers. Pitching >100 innings in 1 year, being aged 9 to 11 years, being a pitcher or catcher, training >16 hours per week, and having a history of elbow pain were significant risk factors for elbow injury among youth players. Conclusion: History of elbow pain and age had a high risk of associated elbow injury among youth players. Training or pitching load also increased elbow injury risk for youth athletes. Loss of shoulder range of motion appears to increase risk for elbow injury among professional athletes. Single time-point data collections per season, studies with the same sample population, and studies with self-reported injury and risk factor data may limit the interpretation of these findings. Health care professionals should use caution when assessing injury risk during evaluation and making decisions about the training workload and playing time of baseball players.

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