Relationships Between Cognitive and Driving Self-awareness in Older Drivers.

OBJECTIVES: Many older drivers incorrectly estimate their driving ability. The present study aimed to determine whether, and if so, to what extent unawareness of cognitive abilities affects self-awareness of driving ability. METHOD: Two successive studies were conducted in older drivers. A cohort study investigated cognitive self-awareness and an experimental study examined driving self-awareness. In each one, self-awareness was assessed by cross-analyzing objective (respectively Trail-Making Tests A and B and the Digit Symbol Substitution Test and driving performance of on-road assessment) and subjective data (responses about everyday cognitive skills and driving ability). Older drivers were then classified as being over-, correct, or underestimators. The 3 cognitive and driving self-awareness profiles were then cross-analyzed. RESULTS: In the cohort study, 1,190 drivers aged 70 years or older were included. The results showed that 42.7% of older drivers overestimated their cognitive ability, 42.2% estimated it correctly, and 15.1% underestimated it. The experimental study included 145 participants from the cohort. The results showed that 34% of participants overestimated, 45% correctly estimated, and 21% underestimated their driving ability. There was a significant relationship between cognitive and driving self-awareness profiles (p = .02). This overlap was more marked in overestimators. DISCUSSION: Significant overlap between cognitive and driving self-awareness provides useful and new knowledge about driving in the aging population. Misestimation of cognitive ability could hamper self-awareness of driving ability, and consequently self-regulation of driving. It is now crucial to develop measures that promote self-awareness of ability.

Effectiveness of protective clothing for motorized 2-wheeler riders.

OBJECTIVE: This study assesses the effectiveness of protective clothing (motorcycle jacket, trousers, gloves, knee-high or ankle boots, back protection) for motorized 2-wheeler (MTW) riders. METHODS: This retrospective observational study used injury data from the Rhône Registry of Road Accident Victims, plus a postal survey conducted in 2016. Seven thousand one hundred forty-eight MTW riders involved in accidents between 2010 and 2014 were identified from the Registry and were invited to complete a questionnaire. Nine hundred seventy-nine individuals returned the questionnaire with relevant information; 951 with complete injury descriptions and clothing information were included in the study. The impact of protective clothing on injury risk was estimated using Poisson regression, with weighting for nonrespondents. RESULTS: Sixty-seven percent of MTW riders sustained upper limb injuries and 47% sustained lower limb injuries. Gloves were the most frequent gear worn (76%), followed by jackets (59%) and knee-high or ankle boots (37%). Only 23% had back protection and 0.3% had an airbag. Wearing protective clothing was associated with a lower risk of soft tissue injury to upper and lower limbs: For upper limbs, the risk was lower when one of 2 items (a motorcycle jacket or gloves) was worn (relative risk [RR] = 0.36; 95% confidence interval [CI], 0.18-0.75) and was lowest when both were worn (RR = 0.28; 95% CI, 0.12-0.69); for lower limbs, risk was reduced by wearing both motorcycle trousers and boots (RR = 0.60; 95% CI, 0.40-0.91) but was not significantly reduced when only one of these items was worn (RR = 0.90; 95% CI, 0.67-1.21). This protective effect was mainly due to a reduction in abrasions/lacerations rather than contusions. However, protective clothing did not reduce the risk of fracture, dislocation, or sprain, except for knee-high or ankle boots, which were associated with lower risk of ankle or foot fracture (RR = 0.43; 95% CI, 0.24-0.75). No effect of back protectors was shown. CONCLUSIONS: This study confirms the potential for motorcycle clothing to protect users from injury, in particular abrasions and lacerations. However, it did not show any significant protective effect against more serious injuries, such as fracture, dislocation, or sprain, except for knee-high or ankle boots, which reduced foot and ankle fracture risk. Our results argue for more widespread use of protective clothing by MTW users.

Naturalistic Driving Study Investigating Self-Regulation Behavior in Early Alzheimer's Disease: A Pilot Study.

BACKGROUND: Because cognitive processes decline in the earliest stages of Alzheimer's disease (AD), the driving abilities are often affected. The naturalistic driving approach is relevant to study the driving habits and behaviors in normal or critical situations in a familiar environment of participants. OBJECTIVE: This pilot study analyzed in-car video recordings of naturalistic driving in patients with early-stage AD and in healthy controls, with a special focus on tactical self-regulation behavior. METHODS: Twenty patients with early-stage AD (Diagnosis and Statistical Manual of Mental Disorders, Fourth Edition [DSM-IV] criteria), and 21 healthy older adults were included in the study. Data collection equipment was installed in their personal vehicles. Two expert psychologists assessed driving performance using a specially designed Naturalistic Driving Assessment Scale (NaDAS), paying particular attention to tactical self-regulation behavior, and they recorded all critical safety events. RESULTS: Poorer driving performance was observed among AD drivers: their tactical self-regulation behavior was of lower quality. AD patients had also twice as many critical events as healthy drivers and three times more "unaware" critical events. CONCLUSION: This pilot study used a naturalistic approach to accurately show that AD drivers have poorer tactical self-regulation behavior than healthy older drivers. Future deployment of assistance systems in vehicles should specifically target tactical self-regulation components.

Ecological modeling for the extrapolation of ecotoxicological effects measured during in situ assays in Gammarus.

Evaluating the effects of chemical contamination on populations and ecological communities still constitutes a challenging necessity in environmental management. However, the toxic effects of contaminants are commonly measured by means of organism-level responses. Linking such effects measures with ecological models is a promising way to determine population-level impacts. In this way, population models are currently increasingly used in predictive risk assessment procedures, but their use in environmental diagnostic framework remains limited due to their lack of ecological realism. The present study with the crustacean Gammarus fossarum, a sentinel species in freshwater monitoring, combines a dual field and laboratory experimental approach with a population modeling framework. In this way, we developed an ecologically relevant periodic matrix population model for Gammarus. This model allowed us to capture the population dynamics in the field, and to understand the particular pattern of demographic sensitivities induced by Gammarus life-history phenology. The model we developed provided a robust population-level assessment of in situ-based effects measures recorded during a biomonitoring program on a French watershed impacted by past mining activities. Thus, our study illustrates the potential of population modeling when seeking to decipher the role of environmental toxic contamination in ecological perturbations.