Evaluating Crash Risk in Urban Areas Based on Vehicle and Pedestrian Modeling

Itzhak Omer; Victoria Gitelman; Yodan Rofè; Yoav Lerman; Nir Kaplan; Etti Doveh

doi:10.1111/gean.12128

Prevalence of Potentially Inappropriate Medication use in older drivers

BMC Geriatrics ◽

10.1186/s12877-019-1287-8 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 2

Author(s):

Guohua Li ◽

◽

Howard F. Andrews ◽

Stanford Chihuri ◽

Barbara H. Lang ◽

...

Keyword(s):

Urban Areas ◽

Longitudinal Research ◽

Inappropriate Medication ◽

Community Dwelling ◽

American Geriatrics Society ◽

Older Drivers ◽

Driving Ability ◽

Potentially Inappropriate Medication ◽

Crash Risk ◽

Beers Criteria

Abstract Background Potentially Inappropriate Medication (PIM) use has been studied in a variety of older adult populations across the world. We sought to examine the prevalence and correlates of PIM use in older drivers. Methods We applied the American Geriatrics Society 2015 Beers Criteria to baseline data collected from the “brown-bag” review of medications for participants of the Longitudinal Research on Aging Drivers (LongROAD) study to examine the prevalence and correlates of PIM use in a geographically diverse, community-dwelling sample of older drivers (n = 2949). Proportions of participants who used one or more PIMs according to the American Geriatrics Society 2015 Beers Criteria, and estimated odds ratios (ORs) and 95% confidence intervals (CIs) of PIM use associated with participant characteristics were calculated. Results Overall, 18.5% of the older drivers studied used one or more PIM. The most commonly used therapeutic category of PIM was benzodiazepines (accounting for 16.6% of the total PIMs identified), followed by nonbenzodiazepine hypnotics (15.2%), antidepressants (15.2%), and first-generation antihistamines (10.5%). Compared to older drivers on four or fewer medications, the adjusted ORs of PIM use were 2.43 (95% CI 1.68–3.51) for those on 5–7 medications, 4.19 (95% CI 2.95–5.93) for those on 8–11 medications, and 8.01 (95% CI 5.71–11.23) for those on ≥12 medications. Older drivers who were female, white, or living in urban areas were at significantly heightened risk of PIM use. Conclusion About one in five older drivers uses PIMs. Commonly used PIMs are medications known to impair driving ability and increase crash risk. Implementation of evidence-based interventions to reduce PIM use in older drivers may confer both health and safety benefits. Trial registration Not applicable.

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Predictor variables influencing merging speed change lane crash risk by interchange type in urban areas

Transportation Research Interdisciplinary Perspectives ◽

10.1016/j.trip.2021.100375 ◽

2021 ◽

Vol 10 ◽

pp. 100375

Author(s):

Synthia Tagar ◽

Srinivas S. Pulugurtha

Keyword(s):

Urban Areas ◽

Predictor Variables ◽

Crash Risk ◽

Speed Change

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Management of minor ailments in primary schoolchildren in rural and urban areas

Child Care Health and Development ◽

10.1046/j.1365-2214.1996.787787.x ◽

1996 ◽

Vol 22 (3) ◽

pp. 167-174

Author(s):

J A Cantrill ◽

B Johannesson ◽

M Nicholson ◽

P R Noyce

Keyword(s):

Urban Areas ◽

Rural And Urban Areas ◽

Rural And Urban ◽

Primary Schoolchildren ◽

Minor Ailments

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Cannabis use in Switzerland: The role of attribution of drug use to friends, urbanization and repression 1The study was supported by the Swiss Federal Office of Public Health (Bundesamt für Gesundheit BAG) Grant 316.96.5980.

Swiss Journal of Psychology ◽

10.1024//1421-0185.60.2.99 ◽

2001 ◽

Vol 60 (2) ◽

pp. 99-107 ◽

Cited By ~ 7

Author(s):

Holger Schmid

Keyword(s):

Drug Use ◽

Urban Areas ◽

Hierarchical Linear Model ◽

Cannabis Use ◽

School Aged Children ◽

Structural Variables ◽

Hbsc Study ◽

Nationally Representative ◽

Highly Correlated ◽

Individual Use

Cannabis use does not show homogeneous patterns in a country. In particular, urbanization appears to influence prevalence rates, with higher rates in urban areas. A hierarchical linear model (HLM) was employed to analyze these structural influences on individuals in Switzerland. Data for this analysis were taken from the Switzerland survey of Health Behavior in School-Aged Children (HBSC) Study, the most recent survey to assess drug use in a nationally representative sample of 3473 15-year-olds. A total of 1487 male and 1620 female students indicated their cannabis use and their attributions of drug use to friends. As second level variables we included address density in the 26 Swiss Cantons as an indicator of urbanization and officially recorded offences of cannabis use in the Cantons as an indicator of repressive policy. Attribution of drug use to friends is highly correlated with cannabis use. The correlation is even more pronounced in urban Cantons. However, no association between recorded offences and cannabis use was found. The results suggest that structural variables influence individuals. Living in an urban area effects the attribution of drug use to friends. On the other hand repressive policy does not affect individual use.

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