Figure Correction: Using Social Media to Help Understand Patient-Reported Health Outcomes of Post-COVID-19 Condition: Natural Language Processing Approach.

[This corrects the article DOI: 10.2196/45767.].

Using Social Media to Help Understand Patient-Reported Health Outcomes of Post-COVID-19 Condition: Natural Language Processing Approach.

BACKGROUND: While scientific knowledge of post-COVID-19 condition (PCC) is growing, there remains significant uncertainty in the definition of the disease, its expected clinical course, and its impact on daily functioning. Social media platforms can generate valuable insights into patient-reported health outcomes as the content is produced at high resolution by patients and caregivers, representing experiences that may be unavailable to most clinicians. OBJECTIVE: In this study, we aimed to determine the validity and effectiveness of advanced natural language processing approaches built to derive insight into PCC-related patient-reported health outcomes from social media platforms Twitter and Reddit. We extracted PCC-related terms, including symptoms and conditions, and measured their occurrence frequency. We compared the outputs with human annotations and clinical outcomes and tracked symptom and condition term occurrences over time and locations to explore the pipeline's potential as a surveillance tool. METHODS: We used bidirectional encoder representations from transformers (BERT) models to extract and normalize PCC symptom and condition terms from English posts on Twitter and Reddit. We compared 2 named entity recognition models and implemented a 2-step normalization task to map extracted terms to unique concepts in standardized terminology. The normalization steps were done using a semantic search approach with BERT biencoders. We evaluated the effectiveness of BERT models in extracting the terms using a human-annotated corpus and a proximity-based score. We also compared the validity and reliability of the extracted and normalized terms to a web-based survey with more than 3000 participants from several countries. RESULTS: UmlsBERT-Clinical had the highest accuracy in predicting entities closest to those extracted by human annotators. Based on our findings, the top 3 most commonly occurring groups of PCC symptom and condition terms were systemic (such as fatigue), neuropsychiatric (such as anxiety and brain fog), and respiratory (such as shortness of breath). In addition, we also found novel symptom and condition terms that had not been categorized in previous studies, such as infection and pain. Regarding the co-occurring symptoms, the pair of fatigue and headaches was among the most co-occurring term pairs across both platforms. Based on the temporal analysis, the neuropsychiatric terms were the most prevalent, followed by the systemic category, on both social media platforms. Our spatial analysis concluded that 42% (10,938/26,247) of the analyzed terms included location information, with the majority coming from the United States, United Kingdom, and Canada. CONCLUSIONS: The outcome of our social media-derived pipeline is comparable with the results of peer-reviewed articles relevant to PCC symptoms. Overall, this study provides unique insights into patient-reported health outcomes of PCC and valuable information about the patient's journey that can help health care providers anticipate future needs. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1101/2022.12.14.22283419.

Road safety hazards for children while commuting to school: Findings from a pilot study in Karachi, Pakistan.

INTRODUCTION: Road traffic injuries are a leading cause of mortality and morbidity among children. Travelling to and from school is a major risk exposure for children around the globe. OBJECTIVE: The purpose of this study was to assess road traffic injury hazards for school children during dropp-off or picked-up times. METHODS: This observational cross-sectional study included 94 public and private schools in Karachi, Pakistan. A structured observational tool was used to collect data on school demographics, the road traffic environment, infrastructure, injury hazards in vehicles used by school children, and child pedestrian injury risk and road use behaviors. RESULTS: A total of 860 observations of school children, drivers of vehicles transporting children, schools, and vehicles were recorded. Most schools (n = 83, 88%) did not have designated parking spaces around the school; only one public school had a parking area. Only one private school had a zebra crossing around the school premises. Very few schools (n = 13, 14%), mostly private (n = 12) had pedestrian sidewalks. Only 35 (18%) adult motorcyclists, out of 199, were wearing a helmet, and eight (6%), out of 145, car passengers were wearing seatbelts. Compressed natural gas (CNG) cylinders were installed in 83 (35%), out of 235, observed vehicles. The remaining 152 (65%) did not have CNG cylinders or they were not visible to our data collectors. In 55 (23%) observations, bus passengers stepped off the bus in the middle of the road. Most pedestrians (n = 266, 99.5%) did not use a Zebra crossing. More than a quarter (n = 74, 28%) of pedestrians looked left and right before crossing the road. CONCLUSION: While traveling to school, either by walking or taking vehicular trips, children face many road traffic injury hazards in Karachi. Pedestrians and passengers exhibited risky behaviors while using roads. Further initiatives are advised from a public health viewpoint aiming at minimizing transport-related hazards.

Injury hazard assessment in schools: Findings from a pilot study in Karachi, Pakistan.

INTRODUCTION: Injuries are a major public health concern and one of the leading causes of death and disability worldwide. Childhood injuries contribute to a major proportion of this burden. OBJECTIVE: To identify injury hazards within school premises and playgrounds in Karachi, Pakistan. METHODS: This observational cross-sectional study took place in 107 public and private schools of Karachi, Pakistan using a self-structured standard injury risk assessment tool. This tool was developed after an extensive literature review, expert consultation, and field visits to a few local schools. Data related to school demographics, administrative data and injury hazards within the school boundaries were collected in schools offering education from nursery to secondary grades (through 10th grade, matriculation). Descriptive analysis were calculated. RESULTS: Out of 107 schools, only 12 were recording school-related injuries. A quarter (25%) of schools had some type of disaster drill exercises and built-in fire exits. Fire alarms were placed in 10 schools (9%), all of which were private. In 16 schools (15%), students had access to rooftop doors. There were multiple injury hazards in the school playgrounds. More than half of the schools had hazardous playground surfaces, such as slippery, concrete and uneven ground. Over 80% of schools were not supervising the children during playtime and did not have a separate play area for children under 6 years old. In 38 schools (22%), there were multiple injury hazards in the play rides, such as broken equipment, rusted parts, and sharp edges. Moreover, nine schools (7%) had loose nuts, bolts, edges, belts, steps, or rails in their play rides. Inside, almost a quarter (24%, n = 76) of schools did not have proper insulation of electric wires. Protruded metal nails, which could be high risk for prick and cut injuries, were observed in 20% of the observed furniture. CONCLUSION: In conclusion, there are multiple injury hazards in the private and public schools of Karachi, Pakistan.

The impact of the initial COVID-19 outbreak on young adults' mental health: a longitudinal study of risk and resilience factors.

Few studies assessing the effects of COVID-19 on mental health include prospective markers of risk and resilience necessary to understand and mitigate the combined impacts of the pandemic, lockdowns, and other societal responses. This population-based study of young adults includes individuals from the Neuroscience in Psychiatry Network (n = 2403) recruited from English primary care services and schools in 2012-2013 when aged 14-24. Participants were followed up three times thereafter, most recently during the initial outbreak of the COVID-19 outbreak when they were aged between 19 and 34. Repeated measures of psychological distress (K6) and mental wellbeing (SWEMWBS) were supplemented at the latest assessment by clinical measures of depression (PHQ-9) and anxiety (GAD-7). A total of 1000 participants, 42% of the original cohort, returned to take part in the COVID-19 follow-up; 737 completed all four assessments [mean age (SD), 25.6 (3.2) years; 65.4% female; 79.1% White]. Our findings show that the pandemic led to pronounced deviations from existing mental health-related trajectories compared to expected levels over approximately seven years. About three-in-ten young adults reported clinically significant depression (28.8%) or anxiety (27.6%) under current NHS guidelines; two-in-ten met clinical cut-offs for both. About 9% reported levels of psychological distress likely to be associated with serious functional impairments that substantially interfere with major life activities; an increase by 3% compared to pre-pandemic levels. Deviations from personal trajectories were not necessarily restricted to conventional risk factors; however, individuals with pre-existing health conditions suffered disproportionately during the initial outbreak of the COVID-19 pandemic. Resilience factors known to support mental health, particularly in response to adverse events, were at best mildly protective of individual psychological responses to the pandemic. Our findings underline the importance of monitoring the long-term effects of the ongoing pandemic on young adults' mental health, an age group at particular risk for the emergence of psychopathologies. Our findings further suggest that maintaining access to mental health care services during future waves, or potential new pandemics, is particularly crucial for those with pre-existing health conditions. Even though resilience factors known to support mental health were only mildly protective during the initial outbreak of the COVID-19 pandemic, it remains to be seen whether these factors facilitate mental health in the long term.

Improvement in trauma care for road traffic injuries: an assessment of the effect on mortality in low-income and middle-income countries.

Over 90% of the annual 1·35 million worldwide deaths due to road traffic injuries (RTIs) occur in low-income and middle-income countries (LMICs). For this Series paper, our aim was two-fold. Firstly, to review evidence on effective interventions for victims of RTIs; and secondly, to estimate the potential number of lives saved by effective trauma care systems and clinical interventions in LMICs. We reviewed all the literature on trauma-related health systems and clinical interventions published during the past 20 years using MEDLINE, Embase, and Web of Science. We included studies in which mortality was the primary outcome and excluded studies in which trauma other than RTIs was the predominant injury. We used data from the Global Status Report on Road Safety 2018 and a Monte Carlo simulation technique to estimate the potential annual attributable number of lives saved in LMICs. Of the 1921 studies identified for our review of the literature, 62 (3·2%) met the inclusion criteria. Only 28 (1·5%) had data to calculate relative risk. We found that more than 200 000 lives per year can be saved globally with the implementation of a complete trauma system with 100% coverage in LMICs. Partial system improvements such as establishing trauma centres (>145 000 lives saved) and instituting and improving trauma teams (>115 000) were also effective. Emergency medical services had a wide range of effects on mortality, from increasing mortality to saving lives (>200 000 excess deaths to >200 000 lives saved per year). For clinical interventions, damage control resuscitation (>60 000 lives saved per year) and institution of interventional radiology (>50 000 lives saved per year) were the most effective interventions. On the basis of the scarce evidence available, a few key interventions have been identified to provide guidance to policy makers and clinicians on evidence-based interventions that can reduce deaths due to RTIs in LMICs. We also highlight important gaps in knowledge on the effects of other interventions.

Multivariate profile and acute-phase correlates of cognitive deficits in a COVID-19 hospitalised cohort.

Background: Preliminary evidence has highlighted a possible association between severe COVID-19 and persistent cognitive deficits. Further research is required to confirm this association, determine whether cognitive deficits relate to clinical features from the acute phase or to mental health status at the point of assessment, and quantify rate of recovery. Methods: 46 individuals who received critical care for COVID-19 at Addenbrooke's hospital between 10th March 2020 and 31st July 2020 (16 mechanically ventilated) underwent detailed computerised cognitive assessment alongside scales measuring anxiety, depression and post-traumatic stress disorder under supervised conditions at a mean follow up of 6.0 (± 2.1) months following acute illness. Patient and matched control (N = 460) performances were transformed into standard deviation from expected scores, accounting for age and demographic factors using N = 66,008 normative datasets. Global accuracy and response time composites were calculated (G_SScore & G_RT). Linear modelling predicted composite score deficits from acute severity, mental-health status at assessment, and time from hospital admission. The pattern of deficits across tasks was qualitatively compared with normal age-related decline, and early-stage dementia. Findings: COVID-19 survivors were less accurate (G_SScore=-0.53SDs) and slower (G_RT=+0.89SDs) in their responses than expected compared to their matched controls. Acute illness, but not chronic mental health, significantly predicted cognitive deviation from expected scores (G_SScore (p=​​0.0037) and G_RT (p = 0.0366)). The most prominent task associations with COVID-19 were for higher cognition and processing speed, which was qualitatively distinct from the profiles of normal ageing and dementia and similar in magnitude to the effects of ageing between 50 and 70 years of age. A trend towards reduced deficits with time from illness (r∼=0.15) did not reach statistical significance. Interpretation: Cognitive deficits after severe COVID-19 relate most strongly to acute illness severity, persist long into the chronic phase, and recover slowly if at all, with a characteristic profile highlighting higher cognitive functions and processing speed. Funding: This work was funded by the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (BRC), NIHR Cambridge Clinical Research Facility (BRC-1215-20014), the Addenbrooke's Charities Trust and NIHR COVID-19 BioResource RG9402. AH is funded by the UK Dementia Research Institute Care Research and Technology Centre and Imperial College London Biomedical Research Centre. ETB and DKM are supported by NIHR Senior Investigator awards. JBR is supported by the Wellcome Trust (220258) and Medical Research Council (SUAG/051 G101400). VFJN is funded by an Academy of Medical Sciences/ The Health Foundation Clinician Scientist Fellowship. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.

Associations between COVID-19 pandemic impact, dimensions of behavior and eating disorders: A longitudinal UK-based study.

BACKGROUND: There is growing concern about how people with eating disorders are impacted by the widespread societal restructuring during the COVID-19 crisis. AIMS: We aimed to examine how factors relating to the impact of the pandemic associate with eating disorders and quantify this relationship while adjusting for concurrent and longitudinal parameters of risk. METHODS: We gathered demographic, behavioral and clinical data pre- and mid-pandemic as well as childhood trauma history from a longitudinal online survey of 489 adults (mean age 23.4 years) recruited from the Neuroscience in Psychiatry Network (NSPN). Using pre-pandemic (T1) and concurrent (T2) data we aimed to predict eating disorders at mid-pandemic (T2). We deployed hierarchical generalized logistic regression to ascertain the strength of longitudinal and concurrent associations. RESULTS: Pre-pandemic eating disorder scores strongly associated with concurrent eating disorder (z = 5.93). More conflict at home mid-pandemic (z = 2.03), pre- (lower sensation seeking z = -2.58) and mid-pandemic (higher lack of perseverance z = 2.33) impulsivity traits also associated with mid-pandemic eating disorder. CONCLUSION: Conflict at home mid-pandemic and specific aspects of impulsiveness significantly associated with concurrent eating disorder when adjusted for pre-pandemic eating disorder symptoms, baseline demographics, behavioral traits, history of traumatic experiences and concurrent psychopathology. These results provide insight into the struggles of those suffering with eating disorders during the COVID-19 pandemic and highlight the importance of impulsiveness traits and the immediate family environment in their experience of illness during the pandemic.

Saccharomyces cerevisiae as a skin physiology, pathology, and treatment model.

Saccharomyces cerevisiae serves as a useful model in experimental biology. Within dermatology research, several studies have examined this organism's role in skin physiology, pathology, and treatment. Saccharomyces cerevisiae has been used to explore the mechanisms of melanogenesis as its extract inhibits key enzymes involved in melanogenesis and melanosome transfer. Additionally, the lack of probiotic intestinal Saccharomyces cerevisiae has been associated with psoriasis, potentially related to the anti-inflammatory effects of the yeast. Furthermore, antibodies against Saccharomyces cerevisiae have been observed in skin conditions, including atopic dermatitis. Saccharomyces cerevisiae may even cause skin infections, such as septic emboli in a patient with acute myelogenous leukemia. Lastly, Saccharomyces cerevisiae has potential use in vaccine development against melanoma and is utilized to study various treatment modalities such as zinc pyrithione, an ingredient often used in anti-dandruff shampoo.

Initial estimates of COVID-19 infections in hospital workers in the United States during the first wave of pandemic.

OBJECTIVE: We estimated the number of hospital workers in the United States (US) that might be infected or die during the COVID-19 pandemic based on the data in the early phases of the pandemic. METHODS: We calculated infection and death rates amongst US hospital workers per 100 COVID-19-related deaths in the general population based on observed numbers in Hubei, China, and Italy. We used Monte Carlo simulations to compute point estimates with 95% confidence intervals for hospital worker (HW) infections in the US based on each of these two scenarios. We also assessed the impact of restricting hospital workers aged ≥ 60 years from performing patient care activities on these estimates. RESULTS: We estimated that about 53,000 hospital workers in the US could get infected, and 1579 could die due to COVID19. The availability of PPE for high-risk workers alone could reduce this number to about 28,000 infections and 850 deaths. Restricting high-risk hospital workers such as those aged ≥ 60 years from direct patient care could reduce counts to 2,000 healthcare worker infections and 60 deaths. CONCLUSION: We estimate that US hospital workers will bear a significant burden of illness due to COVID-19. Making PPE available to all hospital workers and reducing the exposure of hospital workers above the age of 60 could mitigate these risks.

Celestial effects on the skin.

Many factors affect the health and physiology of human skin, with some of them arising from outer space. This contribution explores four celestial influences on the skin: (1) the sun's ultraviolet light, which has both beneficial and deleterious dermatologic effects, (2) meteorite injuries, (3) possible lunar effects on the body's health, and (4) cosmic radiation as a risk factor for skin cancer and pregnancy-related complications. Some of these extraterrestrial influences on skin health have taken on added significance as human beings increasingly spend more time at higher altitudes in aircraft, spaceships, and space stations.

Peripheral Blood Cell-Stratified Subgroups of Inflamed Depression.

BACKGROUND: Depression has been associated with increased inflammatory proteins, but changes in circulating immune cells are less well defined. METHODS: We used multiparametric flow cytometry to count 14 subsets of peripheral blood cells in 206 depression cases and 77 age- and sex-matched controls (N = 283). We used univariate and multivariate analyses to investigate the immunophenotypes associated with depression and depression severity. RESULTS: Depression cases, compared with controls, had significantly increased immune cell counts, especially neutrophils, CD4+ T cells, and monocytes, and increased inflammatory proteins (C-reactive protein and interleukin-6). Within-group analysis of cases demonstrated significant associations between the severity of depressive symptoms and increased myeloid and CD4+ T-cell counts. Depression cases were partitioned into 2 subgroups by forced binary clustering of cell counts: the inflamed depression subgroup (n = 81 out of 206; 39%) had increased monocyte, CD4+, and neutrophil counts; increased C-reactive protein and interleukin-6; and more severe depression than the uninflamed majority of cases. Relaxing the presumption of a binary classification, data-driven analysis identified 4 subgroups of depression cases, 2 of which (n = 38 and n = 100; 67% collectively) were associated with increased inflammatory proteins and more severe depression but differed in terms of myeloid and lymphoid cell counts. Results were robust to potentially confounding effects of age, sex, body mass index, recent infection, and tobacco use. CONCLUSIONS: Peripheral immune cell counts were used to distinguish inflamed and uninflamed subgroups of depression and to indicate that there may be mechanistically distinct subgroups of inflamed depression.

Curation and annotation of planarian gene expression patterns with segmented reference morphologies.

MOTIVATION: Morphological and genetic spatial data from functional experiments based on genetic, surgical and pharmacological perturbations are being produced at an extraordinary pace in developmental and regenerative biology. However, our ability to extract knowledge from these large datasets are hindered due to the lack of formalization methods and tools able to unambiguously describe, centralize and interpret them. Formalizing spatial phenotypes and gene expression patterns is especially challenging in organisms with highly variable morphologies such as planarian worms, which due to their extraordinary regenerative capability can experimentally result in phenotypes with almost any combination of body regions or parts. RESULTS: Here, we present a computational methodology and mathematical formalism to encode and curate the morphological outcomes and gene expression patterns in planaria. Worm morphologies are encoded with mathematical graphs based on anatomical ontology terms to automatically generate reference morphologies. Gene expression patterns are registered to these standard reference morphologies, which can then be annotated automatically with anatomical ontology terms by analyzing the spatial expression patterns and their textual descriptions. This methodology enables the curation and annotation of complex experimental morphologies together with their gene expression patterns in a centralized standardized dataset, paving the way for the extraction of knowledge and reverse-engineering of the much sought-after mechanistic models in planaria and other regenerative organisms. AVAILABILITY AND IMPLEMENTATION: We implemented this methodology in a user-friendly graphical software tool, PlanGexQ, freely available together with the data in the manuscript at https://lobolab.umbc.edu/plangexq. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Impact of genetic polymorphisms on opioid misuse: a scoping review.

We conducted a scoping review on genetic polymorphisms associated with opioid intake-related adverse patient outcomes including behavioral, physiological and clinical outcomes. We searched for studies on Medline®, EMBASE®, CINAHL®, Psychinfo® and SNPedia® from January 2006 to January 2018. Our study identified 33 genes and 71 SNPs associated with opioid-intake related adverse patient outcomes: four studies showing associations of nine SNPs with clinical events (e.g., arrhythmia, length of stay and deaths); six studies showing associations of 13 SNPs with respiratory depression and 25 studies showing associations of 50 SNPs with opioid misuse behaviors. Available pharmacogenetic-tests covered polymorphisms associated with opioids metabolism and ignored polymorphisms associated with opioids transport, receptor-binding and signaling that were linked with respiratory depression and misuse behaviors.

Leisure Time Physical Activity Levels in Immigrants by Ethnicity and Time Since Immigration to Canada: Findings from the 2011-2012 Canadian Community Health Survey.

New immigrants to Canada are mostly from Asian/South Asian countries currently experiencing low levels of physical activity (PA) and high rates of overweight/obesity. Little is known about the leisure time PA (LTPA) patterns of recent immigrants. Study sample was extracted from Canadian Community Health Survey (2011-2012). Based on reported daily energy expenditure on LTPAs over past 3 months, participants were categorized as physically active, moderately active, and inactive. Likelihood of being physically inactive was estimated for recent immigrants versus established immigrants. Higher proportion of recent immigrants were inactive (60%) compared to established immigrants (53%). Adjusted models estimated a higher likelihood of inactivity among recent immigrants (OR 1.40, 95% CI 1.13, 1.72) versus established immigrants. Inactivity was higher among immigrants of visible minorities, 58.8 versus 46.7% of white immigrants. Recent immigrants of visible minorities are at higher risk of being inactive. This highlights importance of developing programs to increase PA in specific groups of new immigrants.

Technical Performance as a Predictor of Clinical Outcomes in Laparoscopic Gastric Cancer Surgery.

OBJECTIVE: The purpose of this study was to evaluate the relationship between technical performance and patient outcomes in laparoscopic gastric cancer surgery. BACKGROUND: Laparoscopic gastrectomy for cancer is an advanced procedure with high rate of postoperative morbidity and mortality. Many variables including patient, disease, and perioperative management factors have been shown to impact postoperative outcomes; however, the role of surgical performance is insufficiently investigated. METHODS: A retrospective review was performed for all patients who had undergone laparoscopic gastrectomy for cancer at 3 teaching institutions between 2009 and 2015. Patients with available, unedited video-recording of their procedure were included in the study. Video files were rated for technical performance, using Objective Structured Assessments of Technical Skills (OSATS) and Generic Error Rating Tool instruments. The main outcome variable was major short-term complications. The effect of technical performance on patient outcomes was assessed using logistic regression analysis with backward selection strategy. RESULTS: Sixty-one patients with available video recordings were included in the study. The overall complication rate was 29.5%. The mean Charlson comorbidity index, type of procedure, and the global OSATS score were included in the final predictive model. Lower performance score (OSATS ≤29) remained an independent predictor for major short-term outcomes (odds ratio 6.49), while adjusting for comorbidities and type of procedure. CONCLUSIONS: Intraoperative technical performance predicts major short-term outcomes in laparoscopic gastrectomy for cancer. Ongoing assessment and enhancement of surgical skills using modern, evidence-based strategies might improve short-term patient outcomes. Future work should focus on developing and studying the effectiveness of such interventions in laparoscopic gastric cancer surgery.

Traumatic brain injury as an independent risk factor for problem gambling: a matched case-control study.

PURPOSE: To assess whether traumatic brain injury (TBI) increases the risks of subsequent problem gambling. METHODS: We conducted a matched case-control analysis of adults in Ontario, Canada. The study included those who self-reported their gambling activities in the Canadian Community Health Survey 2007-2008. Using Problem Gambling Severity Index, we defined cases as those who were problem gamblers and controls who were recreational gamblers. Cases were matched to controls 1:2 using propensity scores based on demographics, prior mental health, and self-reported behaviours. The main predictor was prior TBI defined as requiring emergency care and identified using ICD-10 codes from administrative health databases. We estimated the likelihood of prior TBI in problem gamblers compared to controls using conditional logistic regression. RESULTS: Of 30,652 survey participants, 16,002 (53%) reported gambling activity of whom 14,910 (49%) were recreational gamblers and 4% (n = 1092) were problem gamblers. A total of 1469 respondents (5%) had a prior TBI. Propensity score matching yielded 2038 matched pairs with 1019 cases matched to 2037 controls. Case-control analysis showed a significant association between prior TBI and subsequent problem gambling (odds ratio 1.27, 95% confidence interval 1.07-1.51, P = 0.007). The increased risk was mostly apparent in men aged 35 to 64 years who reported alcohol use or smoking. The relative risk of problem gambling in those with two or more TBIs equated to an odds ratio of 2.04 (95% confidence interval 1.05-3.99). CONCLUSIONS: We found that a prior TBI was associated with an increased subsequent risk of problem gambling. Our findings support more awareness, screening, and treating problem gambling risks among TBI patients.

Gambling and Subsequent Road Traffic Injuries: A Longitudinal Cohort Analysis.

BACKGROUND: To compare the risks of a road traffic injury (RTI) crash among adults who were involved in high-risk gambling and those who did not gamble. METHODS: We conducted a linked longitudinal cohort analysis of adult persons in large population survey conducted during 2007 and 2008 in Ontario, Canada. We used responses to Problem Gambling Severity Index to distinguish persons as nongamblers, no-risk, low-risk, or high-risk gamblers. All persons were subsequently monitored for a subsequent RTI crash as a driver, pedestrian, or bicyclist up to March 31, 2014, through health insurance databases. We estimated relative risks as rate ratios (RRs) with 95% confidence intervals (95% CIs). RESULTS: In all, 30,652 adults were included, of whom 52% self-identified as gamblers, including 49% as no-risk gamblers, 2% as low-risk gamblers, and 1% as high-risk gamblers. During a median follow-up period of 6.8 years, 708 participants (2%) were involved in 821 RTI crashes. The absolute risks of an RTI were 6.4 per 1000 person-years (95% CI 3.7-10.4) in high-risk gamblers and 3.6 per 1000 person-years (95% CI 3.2-4.0) in nongamblers. The relative risks for RTI crashes were significantly higher in high-risk gamblers than in nongamblers (adjusted RR 1.68, 95% CI 1.03-2.76). The risks for RTI crashes as a driver were augmented in high-risk gamblers than in nongamblers (RR 1.97, 95% CI 1.13-3.43). CONCLUSIONS: We found an increased risk of an RTI crash among drivers who self-identified as high-risk gamblers. Further research exploring the underlying mechanisms of these associations might interest health professionals to monitor RTI risks in adults involved in high-risk gambling.