Elderly pedestrian safety in a rapidly aging society—Commonality and diversity between the younger-old and older-old

Noh, Yuna; Kim, Minjae; Yoon, Yoonjin

doi:10.1080/15389588.2018.1509209

Cited by 17 publications

(7 citation statements)

References 33 publications

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“…Individuals older than 75 years old have significantly reduced ability to perform activities of daily living than those younger than 75 years. 30 Noh et al 31 reported that the risk of injury among individuals older than 75 years was significantly higher than that among individuals younger than 75 years. A study from France reported that individuals 75 and older were more likely than younger cohorts to present with symptoms of senile syndrome, such as weakness, cognitive impairment, urinary incontinence, and malnutrition.…”

Section: Discussionmentioning

confidence: 99%

Preoperative Prognostic Nutrition Index as a Prognostic Indicator of Survival in Elderly Patients Undergoing Gastric Cancer Surgery

Zhang¹,

Fang²,

Zeng³

et al. 2021

CMAR

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Purpose Gastric cancer is a common tumor type associated with nutritional and immune status. The aim of the current study was to investigate the prognostic value of a preoperative prognostic nutritional index (PNI), composed of nutritional factors and immune factors in elderly patients undergoing gastric cancer surgery. Patients and Methods A total of 454 patients undergoing gastric cancer surgery were divided into two groups based on preoperative PNI scores: ≤45.1 ( n = 307) and >45.1 ( n = 147). Survival analysis was performed using the Kaplan–Meier method and Log rank tests. Univariate and multivariate analyses were conducted to identify independent prognostic factors using a Cox proportional hazards model. Results According to the X-tile program, the optimal cutoff value for predicting overall survival (OS) with the PNI was 45.1. The receiver operating characteristic analysis revealed that PNI exhibited 70.6% sensitivity and 56.5% speciﬁcity for predicting death during long-term follow-up. The cumulative incidence of postoperative 4-year mortality indicated that the risk of death increased significantly for PNI ≤45.1. In multivariate analysis, preoperative PNI was a significant independent predictor of mortality. In the age-stratified subgroup analysis, preoperative PNI was more sensitive for the old elderly subgroup than for the young elderly subgroup. Conclusion Preoperative PNI is a sensitive and specific prognostic predictor among elderly patients undergoing gastric cancer surgery.

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Section: Discussionmentioning

confidence: 99%

Preoperative Prognostic Nutrition Index as a Prognostic Indicator of Survival in Elderly Patients Undergoing Gastric Cancer Surgery

Zhang¹,

Fang²,

Zeng³

et al. 2021

CMAR

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“…As was expected, the pedestrian crashes occurred during the night or under lowlight conditions, which increased the likelihood of fatal consequences [63]. The driver may fail to see a pedestrian at night, and this was also associated with frontal vehicle impacts.…”

Section: Discussionmentioning

confidence: 60%

“…The elderly pedestrians were more prone to severe outcomes relative to the younger individuals, once in a crash. This is due to the decrease in their perception and reaction times, and to the increase in their physical vulnerability and fragility and the suffering of various medical conditions, all of which contribute to their higher injury risk propensity [63]. Low-speed areas may be employed during the weekend to avoid the conflict between motor vehicles and pedestrians.…”

Section: Discussionmentioning

confidence: 99%

Parametric and Non-Parametric Analyses for Pedestrian Crash Severity Prediction in Great Britain

et al. 2022

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The study aims to investigate the factors that are associated with fatal and severe vehicle–pedestrian crashes in Great Britain by developing four parametric models and five non-parametric tools to predict the crash severity. Even though the models have already been applied to model the pedestrian injury severity, a comparative analysis to assess the predictive power of such modeling techniques is limited. Hence, this study contributes to the road safety literature by comparing the models by their capabilities of identifying the significant explanatory variables, and by their performances in terms of the F-measure, the G-mean, and the area under curve. The analyses were carried out using data that refer to the vehicle–pedestrian crashes that occurred in the period of 2016–2018. The parametric models confirm their advantages in offering easy-to-interpret outputs and understandable relations between the dependent and independent variables, whereas the non-parametric tools exhibited higher classification accuracies, identified more explanatory variables, and provided insights into the interdependencies among the factors. The study results suggest that the combined use of parametric and non-parametric methods may effectively overcome the limits of each group of methods, with satisfactory prediction accuracies and the interpretation of the factors contributing to fatal and serious crashes. In the conclusion, several engineering, social, and management pedestrian safety countermeasures are recommended.

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“…Many researchers have investigated the influencing factors of crashes in the elderly (Al AlKheder, AlRukaibi et al, 2020;Amiri, Sadri et al, 2020;Casado-Sanz, Guirao et al, 2019;Haule, Sando et al, 2019;Noh, Kim et al, 2018;Pan, Wu et al, 2022;Park, Choi et al, 2021;Wen, Qu et al, 2021;Yuan, Q., Zhang et al, 2022;, the spatial and temporal distribution characteristics of the elderlyinvolved accidents (Cardona, Arango et al, 2017;Chang, Li et al, 2020;Etehad, Yousefzadeh-Chabok et al, 2015;Freitas, Bonolo et al, 2015;Kang, Cho et al, 2018;Nishino, 2013;Prochowski, Gidlewski et al, 2018;Sadeghi-Bazargani, Samadirad et al, 2018;Sagar, Stamatiadis et al, 2020;Setiawan, 2021), safety awareness and risk cognition of the elderly (Doi, Ishii et al, 2020;Guo, Shi et al, 2018;Hamido, Hamamoto et al, 2021;Handa and Mitobe, 2020;Jian and Shi, 2020;Laosee, Rattanapan et al, 2018;Makizako, Shimada et al, 2018;Nakagawa, 2019;Nishiuchi, Park et al, 2021;Pulvirenti, Distefano et al, 2020;Söllner and Florack, 2019;Uchibori, Handa et al, 2021). Using traditional traffic safety analysis methods, scholars have analysed the relationship between the number or severity of crashes and various factors involving human error, vehicles and the road environment to find the cause of accidents.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Studies on Traffic Crashes Involving the Elderly:

Jin

et al. 2023

IRSPSD International

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Ageing is an inevitable trend of population development. It is vital to study the traffic safety of elderly populations. Although much literature has been produced about this issue, problems such as an inconsistent definition of the elderly and scattered research objectives still exist. This study uses crash data analysis to find the conclusions, limitations and development directions of this research by retrieving accident analysis studies of the elderly from 2015 to the present. This study reviews crash analysis methods and crash characteristics and crash-influencing factors among the elderly. Most of the current studies analysing traffic accidents in the elderly come from the United States, China and Korea. The literature typically defines the elderly as those above 60 or 65 years old. Common research methods include statistical and machine learning methods. Key factors influencing traffic safety among the elderly are factors related to crash victims, vehicles and the road environment. Future research directions are proposed to investigate the heterogeneity of elderly populations in greater depth.

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Elderly pedestrian safety in a rapidly aging society—Commonality and diversity between the younger-old and older-old

Cited by 17 publications

References 33 publications

Preoperative Prognostic Nutrition Index as a Prognostic Indicator of Survival in Elderly Patients Undergoing Gastric Cancer Surgery

Preoperative Prognostic Nutrition Index as a Prognostic Indicator of Survival in Elderly Patients Undergoing Gastric Cancer Surgery

Parametric and Non-Parametric Analyses for Pedestrian Crash Severity Prediction in Great Britain

Analysis of Studies on Traffic Crashes Involving the Elderly:

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