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Greenspace and socioeconomic status are known correlates of diabetes prevalence, but their combined effects at the sub-neighborhood scale are not yet known. This study derives, maps, and validates a combined socioeconomic/greenspace index of individual-level diabetes risk at the sub-neighborhood scale, without the need for clinical measurements. In two Canadian cities (Vancouver and Hamilton), we computed 4 greenspace variables from satellite imagery and extracted 11 socioeconomic variables from the Canadian census. We mapped 5125 participants from the Prospective Urban and Rural Epidemiology Study by their residential address and used age- and sex-dependent walking speeds to estimate individual exposure zones to local greenspace and socioeconomic characteristics, which were then entered into a principal component analysis to derive a novel diabetes risk index (DRI-GLUCoSE). We mapped index scores in both study areas and validated the index using fully adjusted logistic regression models to predict individual diabetes status. Model performance was then compared to other non-clinical diabetes risk indices from the literature. Diabetes prevalence among participants was 9.9%. The DRI-GLUCoSE index was a significant predictor of diabetes status, exhibiting a small non-significant attenuation with the inclusion of dietary and physical activity variables. The final models achieved a predictive accuracy of 75%, the highest among environmental risk models to date. Our combined index of local greenspace and socioeconomic factors demonstrates that the environmental component of diabetes risk is not sufficiently explained by diet and physical activity, and that increasing urban greenspace may be a suitable means of reducing the burden of diabetes at the community scale.

Quantifying the severity of traumatic injury has been foundational for the standardization of outcomes, quality improvement research, and health policy throughout the evolution of trauma care systems. Many injury severity scores are difficult to calculate and implement, especially in low- and middle-income countries (LMICs) where human resources are limited. The Kampala Trauma Score (KTS)-a simplification of the Trauma Injury Severity Score-was developed in 2000 to accommodate these settings. Since its development, numerous instances of KTS use have been documented, but extent of adoption is unknown. More importantly, does the KTS remain useful for determining injury severity in LMICs? This review aims to better understand the legacy of the KTS and assess its strengths and weaknesses. Three databases were searched to identify scientific papers concerning the KTS. Google Scholar was searched to identify grey literature. The search returned 357 papers, of which 199 met inclusion criteria. Eighty-five studies spanning 16 countries used the KTS in clinical settings. Thirty-seven studies validated the KTS, assessing its ability to predict outcomes such as mortality or need for admission. Over 80% of these studies reported the KTS equalled or exceeded more complicated scores at predicting mortality. The KTS has stood the test of time, proving itself over the last twenty years as an effective measure of injury severity across numerous contexts. We recommend the KTS as a means of strengthening trauma systems in LMICs and suggest it could benefit high-income trauma systems that do not measure injury severity.

Running can improve physical health and psychological wellbeing. However, the characteristics of conducive running environments are relatively unknown. This study determines neighborhood factors that attract running and explores how age and gender mediate built environment preferences. Spatial patterns of runners in Metro Vancouver were identified using crowdsourced fitness data from Strava, a popular application for tracking physical activities. The influence of socio-economic status (SES), green and/or blue space, and urbanicity on route popularity was assessed using a Generalized Linear Model (GLM). The influence of these neighborhood variables was also calculated for runners by age and gender. The results show high neighborhood SES, the presence of green and/or blue space, and high population density are associated with increased running activities in all age and gender groups. This study contributes a novel approach to understanding conducive running environments by demonstrating the utility of crowdsourced data in combination with data about urban environments. The patterns of this large group of runners can be used to inform planning for cities that promote running, as well as seek to encourage equal participation among different ages and genders.

As data science gains traction, it often brings quantitative approaches and positivist epistemologies. While these can generate powerful insights, we argue for methodological hybridity in modern data science. We demonstrate the power of complementary qualitative approaches and flexible ontologies. Using an example of classifying segments™ on Strava, neither quantitative nor qualitative approaches alone were adequate to meaningfully classify segments, but together allowed accurate, useful, and intuitive categories to emerge. Drawing on this experience, we discuss qualitative data science and argue the ontological discussions within Critical GIS from the 1990s and 2000s are increasingly relevant and informative amidst our platial paradigms.

Background: Socioeconomic status (SES) has been shown to influence the outcomes of surgical pathologies in areas with unequal access to health care. The purpose of this study was to measure the effect of SES on the urgency for inguinal hernia repair in an area with purported equitable access to health care in the context of a universal health care system. Methods: We included all adult patients who underwent surgical management of an inguinal hernia between 2012 and 2016 at 2 urban academic centres. We measured the SES using the Vancouver Area Neighbourhood Deprivation Index ( VANDIX) score. Results: We included 2336 patients: 98 emergency surgery and 294 elective surgery cases. We matched patients without replacement on age, sex and American Society of Anesthesiology score, using optimized propensity score matching at a ratio of 1 case to 3 controls. We found no significant correlation between lower SES and emergency surgical management (p = 0.122). Secondary analysis assessed the impact of SES on morbidity and length of stay. We found no significant difference in the rate of complications, length of stay and recurrence by SES category. Patients from lower SES brackets had increased odds for readmission (odds ratio 1.979; 95% confidence interval 1.111-4.318). Conclusion: We found no correlation between a low SES and the need for emergency inguinal hernia repair, but found an increased rate of readmission in patients from lower SES brackets. This finding should be further scrutinized through a deeper dive into the barriers to access to nonacute care settings, such as home care.

Supplemental Digital Content is available in the text., In pregnancy in well-resourced settings, limited data suggest that higher blood pressure (BP) visit-to-visit variability may be associated with adverse pregnancy outcomes. Included were pregnant women in 22 intervention clusters of the CLIP (Community-Level Interventions for Preeclampsia) cluster randomized trials, who had received at least 2 prenatal contacts from a community health worker, including standardized BP measurement. Mixed-effects adjusted logistic regression assessed relationships between pregnancy outcomes and both BP level (median [interquartile range]) and visit-to-visit variability (SD and average real variability [ARV], adjusted for BP level), among all women and those who became hypertensive. The primary outcome was the CLIP composite of maternal and perinatal mortality and morbidity. Among 17 770 pregnancies, higher systolic and diastolic BP levels were associated with increased odds of the composite outcome per 5 mm Hg increase in BP (odds ratio [OR], 1.05 [95% CI, 1.03–1.07] and OR, 1.08 [1.06–1.11], respectively). Higher BP visit-to-visit variability was associated with increased odds, per a SD increase in BP variability measure, of (1) hypertension (systolic: OR, 2.09 [1.98–2.21] for SD and 1.52 [1.45–1.60] for ARV; diastolic: OR, 2.70 [2.54–2.87] for SD and 1.86 [1.76–1.96] for ARV); and (2) the composite outcome (systolic: OR, 1.10 [1.06–1.14] for SD and 1.06 [1.02–1.10] for ARV; diastolic: OR, 1.07 [1.03–1.11] for SD and 1.06 [1.02–1.09] for ARV). In 3 less-developed countries, higher BP level and visit-to-visit variability predicted adverse pregnancy outcomes, providing an opportunity for high-definition medicine.