Objectives: To estimate the contribution of driver sleepiness to the causes of car crash injuries. Design: Population based case control study. Setting: Auckland region of New Zealand, April 1998 to July 1999. Participants: 571 car drivers involved in crashes where at least one occupant was admitted to hospital or killed (“injury crash”); 588 car drivers recruited while driving on public roads (controls), representative of all time spent driving in the study region during the study period. Main outcome measures: Relative risk for injury crash associated with driver characteristics related to sleep, and the population attributable risk for driver sleepiness. Results: There was a strong association between measures of acute sleepiness and the risk of an injury crash. After adjustment for major confounders significantly increased risk was associated with drivers who identified themselves as sleepy (Stanford sleepiness score 4-7 v 1-3; odds ratio 8.2, 95% confidence interval 3.4 to 19.7); with drivers who reported five hours or less of sleep in the previous 24 hours compared with more than five hours (2.7, 1.4 to 5.4); and with driving between 2 am and 5 am compared with other times of day (5.6, 1.4 to 22.7). No increase in risk was associated with measures of chronic sleepiness. The population attributable risk for driving with one or more of the acute sleepiness risk factors was 19% (15% to 25%). Conclusions: Acute sleepiness in car drivers significantly increases the risk of a crash in which a car occupant is injured or killed. Reductions in road traffic injuries may be achieved if fewer people drive when they are sleepy or have been deprived of sleep or drive between 2 am and 5 am. What is already known on this topic: Driver sleepiness is considered a potentially important risk factor for car crashes and related injuries but the association has not been reliably quantified Published estimates of the proportion of car crashes attributable to driver sleepiness vary from about 3% to 30% What this study adds: Driving while feeling sleepy, driving after five hours or less of sleep, and driving between 2 am and 5 am were associated with a substantial increase in the risk of a car crash resulting in serious injury or death Reduction in the prevalence of these three behaviours may reduce the incidence of injury crashes by up to 19%
This article provides detailed guidelines for the implementation of systematic method for setting priorities in health research investments that was recently developed by Child Health and Nutrition Research Initiative (CHNRI). The target audience for ...
30 December 2015 in British Journal of General Practice
Background Mild traumatic brain injury (mTBI) is a common problem in general practice settings, yet previous research does not take into account those who do not attend hospital after injury. This is important as there is evidence that effects may be far from mild. Aim To determine whether people sustain any persistent effects 1 year after mTBI, and to identify the predictors of health outcomes. Design and setting A community-based, longitudinal population study of an mTBI incidence cohort (n = 341) from a mixed urban and rural region (Hamilton and Waikato Districts) of the North Island of New Zealand (NZ). Method Adults (>16 years) completed assessments of cognitive functioning, global functioning, post-concussion symptoms, mood, and quality of life over the year after injury. Results Nearly half of participants (47.9%) reported experiencing four or more post-concussion symptoms 1 year post-injury. Additionally, 10.9% of participants revealed very low cognitive functioning. Levels of anxiety, depression, or reduced quality of life were comparable with the general population. Having at least one comorbidity, history of brain injury, living alone, non-white ethnic group, alcohol and medication use, and being female were significant predictors of poorer outcomes at 12 months. Conclusion Although some people make a spontaneous recovery after mTBI, nearly half continue to experience persistent symptoms linked to their injury. Monitoring of recovery from mTBI may be needed and interventions provided for those experiencing persistent difficulties. Demographic factors and medical history should be taken into account in treatment planning.
To describe the long-term outcomes of major trauma patients and factors associated with the rate of recovery. As injury-related mortality decreases, there is increased focus on improving the quality of survival and reducing nonfatal injury burden. Adult major trauma survivors to discharge, injured between July 2007 and June 2012 in Victoria, Australia, were followed up at 6, 12, and 24 months after injury to measure function (Glasgow Outcome Scale-Extended) and return to work/study. Random-effects regression models were fitted to identify predictors of outcome and differences in the rate of change in each outcome between patient subgroups. Among the 8844 survivors, 8128 (92%) were followed up. Also, 23% had achieved a good functional recovery, and 70% had returned to work/study at 24 months. The adjusted odds of reporting better function at 12 months was 27% (adjusted odds ratio 1.27, 95% confidence interval [CI] 1.19-1.36) higher compared with 6 months, and 9% (adjusted odds ratio 1.09, 95% CI, 1.02-1.17) higher at 24 months compared with 12 months. The adjusted relative risk (RR) of returning to work was 14% higher at 12 months compared with 6 months (adjusted RR 1.14, 95% CI, 1.12-1.16) and 8% (adjusted RR 1.08, 95% CI, 1.06-1.10) higher at 24 months compared with 12 months. Improvement in outcomes over the study period was observed, although ongoing disability was common at 24 months. Recovery trajectories differed by patient characteristics, providing valuable information for informing prognostication and service planning, and improving our understanding of the burden of nonfatal injury.