scholarly journals Safety Effects of Horizontal Curve Design and Lane and Shoulder Width on Single Motorcycle Accidents in Norway

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Sara Kvasnes ◽  
Petr Pokorny ◽  
Jan Kristian Jensen ◽  
Kelly Pitera
Keyword(s):  
Case Control ◽  
Design Parameters ◽  
Case Control Studies ◽  
Design Elements ◽  
Horizontal Alignment ◽  
Vehicle Accidents ◽  
The Road ◽  
Motorcycle Accidents ◽  
National Road ◽  
Horizontal Curvature

Factors related to the road infrastructure contribute to the occurrence of motorcycle accidents. This study investigates how design parameters of the existing rural two-lane road network in Norway influence the occurrence of single motorcycle accidents. The design elements considered in this study are horizontal curvature (curve type, degree of curvature, and adjacent curve requirements) and lane and shoulder widths. A matched case-control study design was applied to investigate the safety effects of these elements. Cases were defined as segments experiencing at least one single motorcycle accident during the study period from 2013 to 2017, while controls were defined as segments not experiencing an accident in the same period. In order to identify the segments, a GIS analysis was performed on data collected from the National Road Database (NVDB). In case-control studies, matching allows us to control for confounding variables. AADT and speed limit were used as matching variables in this study. A matching ratio of 4 : 1 (i.e., four controls per case) was used, resulting in 752 controls being matched to 188 cases. The results indicate horizontal alignment to have a more significant effect on single motorcycle accidents compared to lane and shoulder widths. Segments with several adjacent reverse curves, with high curvature (R < 200 m), have high odds for an accident. Further, if the requirements for adjacent curves are not fulfilled (i.e., considerable variation in adjacent curve radii), the odds increase even more. While the results are not statistically significant, trends seen indicate that wider lanes were associated with increased odds for an accident, while wider shoulders were associated with decreased odds. In comparison with a similar study considering passenger vehicles, the results of this study also indicate that horizontal alignment has a greater effect on single motorcycle accidents than on passenger vehicle accidents.

Enhanced Motorcycle Visibility through Use of Motorcycle Conspicuity Enhancement System

1995 ◽  
Vol 39 (15) ◽  
pp. 1048-1052 ◽  
Author(s):  
Alison G. Vredenburgh ◽  
H. Harvey Cohen
Keyword(s):  
Human Performance ◽  
Second Phase ◽  
Chi Square ◽  
Vehicle Accidents ◽  
The Road ◽  
Third Phase ◽  
Two Factors ◽  
On The Road ◽  
Motorcycle Accidents ◽  
Design And Testing

The most common cause of motorcycle accidents is the violation of the motorcyclist's right-of-way by another vehicle driver. There are two factors in the causation of multi-vehicle accidents involving motorcycles. The first factor concerns design and the second factor involves human performance capabilities. The purpose of this study is to design and test a Motorcycle Conspicuity Enhancement System (MCES) by using a similar methodology as that used by Ramsey and Brinkley (1977) who tested various daytime conspicuity enhancement devices. The following study uses a similar method as that used in the 1977 study. Several phases are required to complete the design and testing of the MCES. First, a device that can be used for testing in the next phases was developed. In the second phase, the device in configured; and finally, in the third phase, it will be tested on the road. A motorcycle and driver will be positioned on a side street perpendicular to the traffic flow. During one hour test periods, the MCES will be mounted and operating for 30 minutes and then dismounted for 30 minutes. Variance and Chi-square analyses will be used.

Is Surgery a Risk Factor for Creutzfeldt-Jakob Disease? Outcome Variation by Control Choice and Exposure Assessments

2008 ◽  
Vol 29 (3) ◽  
pp. 212-218 ◽  
Author(s):  
Jed A. Barash ◽  
Blair T. Johnson ◽  
David I. Gregorio
Keyword(s):  
Risk Factor ◽  
Positive Association ◽  
Case Control ◽  
Effect Sizes ◽  
Sources Of Information ◽  
Case Control Studies ◽  
Significant Positive Association ◽  
Design Elements ◽  
Control Subjects ◽  
Jakob Disease

Objective.To determine whether methodological differences explain divergent results in case-control studies examining surgery as a risk factor for Creutzfeldt-Jakob disease (CJD).Methods.After case-control studies were systematically identified using PubMed, we performed a homogeneity analysis and applied models to effect sizes (odds ratio [OR] with 95% confidence interval [CI]) using 2 parameters: type of control subject used and consistency of data ascertainment. The hospitals and communities were located in Europe, Japan, and Australia. Patients were CJD case subjects and age- and sex-matched control subjects in the hospital or community. Because of the natural history of the disease, CJD subjects are not considered reliable sources of information for these studies. Therefore, individuals who are considered close to the subjects and who have knowledge of their medical history, including spouses and relatives, are necessarily identified as proxy informants for the surgical record of the case subjects.Results.Overall, the effect sizes lacked homogeneity (P<.0001). Three studies that used control subjects from the community revealed a significantly elevated risk of CJD for patients who underwent surgery (OR, 1.82; 95% CI, 1.41-2.35 [P<.0001 ]), whereas 3 investigations that used control subjects from the hospital revealed a significantly reduced risk (OR, 0.69; 95% CI, 0.52-0.90 [P = .0069]). Two studies that used proxy informants to acquire information about case subjects and control subjects (consistent ascertainment) found that the risk of CJD was significantly lower in those subjects who underwent surgery (OR, 0.65; 95% CI, 0.48-0.87 [P = .0043]). Conversely, 4 studies in which proxy informants acted only on behalf of case subjects (inconsistent data ascertainment) found a significant positive association between surgery and CJD (OR, 1.67; 95% CI, 1.32-2.12 [P<.0001 ]). Both models fit the data very well, leaving no remaining variance in effect sizes to explain.Conclusion.Variation in the type of control subjects used and in exposure assessment in case-control studies may partially explain conflicting data regarding the association between surgery and CJD. However, there was almost complete confounding of these 2 parameters, making interpretation more difficult. Planning of future investigations must carefully consider these design elements.

Case-Control Studies

2009 ◽  
Author(s):  
Ruth H. Keogh ◽  
D. R. Cox
Keyword(s):  
Case Control ◽  
Case Control Studies

Clinical Trials in Thrombosis: Secondary Prevention of Myocardial Infarction

1976 ◽  
Vol 35 (01) ◽  
pp. 049-056 ◽  
Author(s):  
Christian R Klimt ◽  
P. H Doub ◽  
Nancy H Doub
Keyword(s):  
Myocardial Infarction ◽  
Secondary Prevention ◽  
Case Control ◽  
Therapeutic Effects ◽  
Case Control Studies ◽  
Definitive Answer ◽  
Inhibition Of Platelet Aggregation ◽  
Prospective Trials

SummaryNumerous in vivo and in vitro experiments, investigating the inhibition of platelet aggregation and the prevention of experimentally-induced thrombosis, suggest that anti-platelet drugs, such as aspirin or the combination of aspirin and dipyridamole or sulfinpyrazone, may be effective anti-thrombotic agents in man. Since 1971, seven randomized prospective trials and two case-control studies have been referenced in the literature or are currently being conducted, which evaluate the effects of aspirin, sulfinpyrazone, or dipyridamole in combination with aspirin in the secondary prevention of myocardial infarction. A critical review of these trials indicates a range of evidence from no difference to a favorable trend that antiplatelet drugs may serve as anti-thrombotic agents in man. To date, a definitive answer concerning the therapeutic effects of these drugs in the secondary prevention of coronary heart disease is not available.

Association between ALDH2 Gene Polymorphism and Late-onset Alzheimer Disease: An Up-to-date Meta-analysis

2020 ◽  
Vol 17 (2) ◽  
pp. 105-111
Author(s):  
Haitao Liu ◽  
Wei Ge ◽  
Wei Chen ◽  
Xue Kong ◽  
Weiming Jian ◽  
...  
Keyword(s):  
Gene Polymorphism ◽  
Large Scale ◽  
Late Onset ◽  
Meta Analysis ◽  
Case Control ◽  
Cochrane Library ◽  
Positive Trend ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Aldh2 Gene

Objectives: Previous case-control studies have focused on the relationship between ALDH2 gene polymorphism and late-onset Alzheimer's Disease (LOAD), but no definite unified conclusion has been reached. Therefore, the correlation between ALDH2 Glu504Lys polymorphism and LOAD remains controversial. To analyze the correlation between ALDH2 polymorphism and the risk of LOAD, we implemented this up-to-date meta-analysis to assess the probable association. Methods: Studies were searched through China National Knowledge Infrastructure (CNKI), VIP Database for Chinese Technical Periodicals, China Biology Medicine, PubMed, Cochrane Library, Clinical- Trials.gov, Embase, and MEDLINE from January 1, 1994 to December 31, 2018, without any restrictions on language and ethnicity. Results: Five studies of 1057 LOAD patients and 1136 healthy controls met our criteria for the analysis. Statistically, the ALDH2 GA/AA genotype was not linked with raising LOAD risk (odds ratio (OR) = 1.48, 95% confidence interval (CI) = 0.96-2.28, p = 0.07). In subgroup analysis, the phenomenon that men with ALDH2*2 had higher risk for LOAD (OR = 1.72, 95%CI = 1.10-2.67, p = 0.02) was observed. Conclusions: This study comprehends only five existing case-control studies and the result is negative. The positive trend might appear when the sample size is enlarged. In the future, more large-scale casecontrol or cohort studies should be done to enhance the association between ALDH2 polymorphism and AD or other neurodegenerative diseases.

scholarly journals A systematic assessment of the association between frequently prescribed medicines and the risk of common cancers: a series of nested case-control studies

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
R. D. McDowell ◽  
C. Hughes ◽  
P. Murchie ◽  
C. Cardwell
Keyword(s):  
Cancer Risk ◽  
Conditional Logistic Regression ◽  
Exposure Dose ◽  
Case Control ◽  
Case Control Studies ◽  
Systematic Assessment ◽  
Exposure Response ◽  
Prescribed Medicines ◽  
Nested Case Control ◽  
Novel Associations

Abstract Background Studies systematically screening medications have successfully identified prescription medicines associated with cancer risk. However, adjustment for confounding factors in these studies has been limited. We therefore investigated the association between frequently prescribed medicines and the risk of common cancers adjusting for a range of confounders. Methods A series of nested case-control studies were undertaken using the Primary Care Clinical Informatics Unit Research (PCCIUR) database containing general practice (GP) records from Scotland. Cancer cases at 22 cancer sites, diagnosed between 1999 and 2011, were identified from GP records and matched with up to five controls (based on age, gender, GP practice and date of registration). Odds ratios (OR) and 95% confidence intervals (CI) comparing any versus no prescriptions for each of the most commonly prescribed medicines, identified from prescription records, were calculated using conditional logistic regression, adjusting for comorbidities. Additional analyses adjusted for smoking use. An association was considered a signal based upon the magnitude of its adjusted OR, p-value and evidence of an exposure-response relationship. Supplementary analyses were undertaken comparing 6 or more prescriptions versus less than 6 for each medicine. Results Overall, 62,109 cases and 276,580 controls were included in the analyses and a total of 5622 medication-cancer associations were studied across the 22 cancer sites. After adjusting for comorbidities 2060 medicine-cancer associations for any prescription had adjusted ORs greater than 1.25 (or less than 0.8), 214 had a corresponding p-value less than or equal to 0.01 and 118 had evidence of an exposure-dose relationship hence meeting the criteria for a signal. Seventy-seven signals were identified after additionally adjusting for smoking. Based upon an exposure of 6 or more prescriptions, there were 118 signals after adjusting for comorbidities and 82 after additionally adjusting for smoking. Conclusions In this study a number of novel associations between medicine and cancer were identified which require further clinical and epidemiological investigation. The majority of medicines were not associated with an altered cancer risk and many identified signals reflected known associations between medicine and cancer.

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