Environmental Preferences and Concerns of Recreational Trail Runners.

Trail running is a fast-growing sport, linked to improvements in both physical and psychological well-being. Despite its popularity, the preferences of trail runners are not well known. The objective of this study was to examine the environmental preferences and concerns of trail runners with respect to age and gender. We conducted a cross-sectional survey of recreational trail runners. A total of 548 people responded, of which 50.1% of respondents were women and 44.2% were men. The sample was distributed relatively evenly across age groups, up to 54 years; respondents over 55 represented only 9.4% of the sample. Comparisons of runner characteristics by gender indicated significant differences (p < 0.05) according to age, distance run per week, and number of days run per week. Certain runner preferences also differed significantly by gender, including importance of running around others, the type of trail races they seek, and whether or not they like to seek "vert" or elevation in their runs. Major concerns for both genders while running included lack of cell reception (Men: 33.8%; Women: 50.8%) and getting lost (Men: 26.8%; Women: 35.5%). Comparisons of the results of this study help to strengthen our understanding of trail runners' environmental preferences and concerns and can be used to guide future design and maintenance of trail environments to encourage greater participation in the sport.

Physical environment features that predict outdoor active play can be measured using Google Street View images.

BACKGROUND: Childrens' outdoor active play is an important part of their development. Play behaviour can be predicted by a variety of physical and social environmental features. Some of these features are difficult to measure with traditional data sources. METHODS: This study investigated the viability of a machine learning method using Google Street View images for measurement of these environmental features. Models to measure natural features, pedestrian traffic, vehicle traffic, bicycle traffic, traffic signals, and sidewalks were developed in one city and tested in another. RESULTS: The models performed well for features that are time invariant, but poorly for features that change over time, especially when tested outside of the context where they were initially trained. CONCLUSION: This method provides a potential automated data source for the development of prediction models for a variety of physical and social environment features using publicly accessible street view images.

Availability of timely methadone treatment in the United States and Canada during COVID-19: A census tract-level analysis.

OBJECTIVES: We sought to compare timely access to methadone treatment in the United States (US) and Canada during the COVID-19 pandemic. METHODS: We conducted a cross-sectional study of census tracts and aggregated dissemination areas (used for rural Canada) within 14 US and 3 Canadian jurisdictions in 2020. We excluded census tracts or areas with a population density of less than one person per square km. Data from a 2020 audit of timely medication access was used to determine clinics accepting new patients within 48 h. Unadjusted and adjusted linear regressions were performed to examine the relationship between area population density and sociodemographic covariates and three outcome variables: 1) driving distance to the nearest methadone clinic accepting new patients, 2) driving distance to the nearest methadone clinic accepting new patients for medication initiation within 48 h, and 3) the difference in the driving distance between the first and second outcome. RESULTS: We included 17,611 census tracts and areas with a population density greater than one person per square kilometer. After adjusting for area covariates, US jurisdictions were a median of 11.6 miles (p value <0.001) further from a methadone clinic accepting new patients and 25.1 miles (p value <0.001) further from a clinic accepting new patients within 48 h than Canadian jurisdictions. CONCLUSIONS: These results suggest that the more flexible Canadian regulatory approach to methadone treatment is associated with a greater availability of timely methadone treatment and reduced urban-rural disparity in availability, compared to the US.

Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis.

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.

Neighborhood Greenspace and Socioeconomic Risk are Associated with Diabetes Risk at the Sub-neighborhood Scale: Results from the Prospective Urban and Rural Epidemiology (PURE) Study.

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.

Socioeconomic status does not influence the presentation of patients with inguinal hernia at an urban Canadian teaching hospital.

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.

The Kampala Trauma Score: A 20-year track record.

ABSTRACT: 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.

Spatial and temporal patterns in Canadian COVID-19 crowdfunding campaigns.

Online charitable crowdfunding has become an increasingly prevalent way for Canadians to deal with costs that they would otherwise not be able to shoulder on their own. With the onset of COVID-19 and related lockdown measures, there is evidence of a surge in crowdfunding use relating to the pandemic. This study gathered, classified, and analysed Canadian crowdfunding campaigns created in response to COVID-19 from GoFundMe.com, a popular crowdfunding platform. Spatio-temporal analysis of classified campaigns allowed for observation of emergent trends in the distribution of pandemic-related need incidence and financial support throughout the pandemic. Campaigns raising money on behalf of established charities were the most common in the sample, and accounted for the greatest portion of funding raised, while campaigns for businesses made up a small proportion. Dense metropolitan areas accounted for the vast majority of campaign locations, and total sample funding was disproportionately raised by campaigners in Ontario and British Columbia.

Environmental Preferences and Concerns of Recreational Road Runners.

Recreational road running is growing in popularity and has been linked to numerous mental and physical health benefits. However, we know little about what environmental preferences or concerns runners have regarding participation in the sport, and whether differences exist across age and gender. We conducted a cross-sectional survey on recreational road runners to investigate the type of built and natural environments road runners prefer, as well as the safety and health concerns that may affect runners' choice of environment. Responses were analyzed by age and gender. A total of 1228 road runners responded to the survey; 59.6% of respondents were women and 32.1% of respondents were men. Most respondents preferred to run on asphalt or sidewalk surfaces, and preferred well-lit, tree-lined routes. Major concerns for both men and women include animals and dangerous road conditions. Men and women differed significantly in their responses to the importance of running around others and their primary concerns while running. Results of this study serve to deepen our understanding of recreational road runners' environmental preferences and concerns, providing valuable information for public health officials and city planners alike. This information must be considered if we are to continue to encourage uptake of running as a sport and reap its health effects.

Understanding the barriers and facilitators to trauma registry development in resource-constrained settings: A survey of trauma registry stewards and researchers.

BACKGROUND: The implementation of trauma registries has proven a highly effective means of injury control. However, many low and middle-income countries lack trauma registries. Those that have trauma registries vary widely in terms of both implementation and structure. We sought to identify the most common barriers that stand in the way of sustainable trauma registry implementation, and the types of strategies that have proven successful in overcoming these barriers. METHODS: We conducted a questionnaire of trauma registry stewards and researchers in LMICs. RESULTS: Twenty-two individuals responded to the questionnaire representing trauma registry experiences across thirteen LMICs. The most common barriers to trauma registry implementation identified included staffing, funding, and stakeholder engagement. Many different strategies for addressing these barriers were discussed. Those mentioned by multiple respondents included the need for a trauma registry champion, fostering strong stakeholder relationships, and improving efficiency of data collection. CONCLUSIONS: Though trauma registry implementation and structure may differ from place to place, there are many shared barriers and facilitators that can be learned from. Identifying these common experiences can help create a repository of knowledge that can better serve those looking to implement their own trauma registries in similar settings.

The need for GIScience in mapping COVID-19.

Since first being tracked in China in late 2019, the effects of the COVID-19 coronavirus have shaped global patterns of morbidity and mortality, as well as exposed the strengths and limitations of health care systems and social safety nets. Without question, reporting of its impact has been bolstered in large part through near real-time daily mapping of cases and fatalities. Though these maps serve as an effective political and social tool in communicating disease impact, most visualizations largely over-emphasize their usefulness for tracking disease progression and appropriate responses. Messy and inconsistent health data are a big part of this problem, as is a paucity of high-resolution spatial data to monitor health outcomes. Another issue is that the ease of producing out-of-the box products largely out paces the response to the core challenges inherent in the poor quality of most geo-referenced data. Adopting a GIScience approach, and in particular, making use of location-based intelligence tools, can improve the shortcomings in data reporting and more accurately reveal how COVID-19 will have a long-term impact on global health.

Cancer resection rates, socioeconomic deprivation, and geographical access to surgery among urban, suburban, and rural populations across Canada.

High-risk cancer resection surgeries are increasingly being performed at fewer, more specialised, and higher-volume institutions across Canada. The resulting increase in travel time for patients to obtain treatment may be exacerbated by socioeconomic barriers to access. Focussing on five high-risk surgery types (oesophageal, ovarian/fallopian, liver, lung, and pancreatic cancers), this study examines socioeconomic trends in age-adjusted resection rates and travel time to surgery location for urban, suburban, and rural populations across Canada, excluding Québec, from 2004 to 2012. Significant differences in age-adjusted resection rates were observed between urban (14.9 per 100 000 person-years [95% CI: 12.2, 17.6]), suburban (40.7 [40.1, 41.2]), and rural (32.7 [29.6, 35.9]) populations, with higher rates in suburban and rural areas throughout the study period for all cancer types. Resection rates did not differ between the highest (Q1) and lowest (Q5) socioeconomic strata (Q1: 13.3 [12.2, 14.4]; Q5: 12.0 [10.7, 13.4]), with significantly higher rates among middle-SES patients (Q2: 27.3 [25.6, 29.0]; Q3: 39.6 [37.4, 41.8]; Q4: 37.5 [35.3, 39.7]). Travel times to treatment were consistently higher among the most socioeconomically deprived patients, most notably in suburban and rural areas. The results suggest that the conventional inclusion of suburbs with urban areas in health research may obfuscate important trends for public health policy and programmes.

Street masking: a network-based geographic mask for easily protecting geoprivacy.

BACKGROUND: Geographic masks are techniques used to protect individual privacy in published maps but are highly under-utilized in research. This leads to continual violations of individual privacy, as sensitive health records are put at risk in unmasked maps. New approaches to geographic masking are required that foster accessibility and ease of use, such that they become more widely adopted. This article describes a new geographic masking method, called street masking, that reduces the burden on users of finding supplemental population data by instead automatically retrieving OpenStreetMap data and using the road network as a basis for masking. We compare it to donut geomasking, both with and without population density taken into account, to evaluate its efficacy against geographic masks that require slightly less and slightly more supplemental data. Our analysis is performed on synthetic data in three different Canadian cities. RESULTS: Street masking performs similarly to population-based donut geomasking with regard to privacy protection, achieving comparable k-anonymity values at similar median displacement distances. As expected, distance-based donut geomasking performs worst at privacy protection. Street masking also performs very well regarding information loss, achieving far better cluster preservation and landcover agreement than population-based donut geomasking. Distance-based donut geomasking performs similarly to street masking, though at the cost of reduced privacy protection. CONCLUSION: Street masking competes with, if not out-performs population-based donut geomasking and does so without requiring any supplemental data from users. Moreover, unlike most other geographic masks, it significantly minimizes the risk of false attribution and inherently takes many geographic barriers into account. It is easily accessible for Python users and provides the foundation for interfaces to be built for non-coding users, such that privacy can be better protected in sensitive geospatial research.

Maximizing the potential of trauma registries in low-income and middle-income countries.

Injury is a major global health issue, resulting in millions of deaths every year. For decades, trauma registries have been used in wealthier countries for injury surveillance and clinical governance, but their adoption has lagged in low-income and middle-income countries (LMICs). Paradoxically, LMICs face a disproportionately high burden of injury with few resources available to address this pandemic. Despite these resource constraints, several hospitals and regions in LMICs have managed to develop trauma registries to collect information related to the injury event, process of care, and outcome of the injured patient. While the implementation of these trauma registries is a positive step forward in addressing the injury burden in LMICs, numerous challenges still stand in the way of maximizing the potential of trauma registries to inform injury prevention, mitigation, and improve quality of trauma care. This paper outlines several of these challenges and identifies potential solutions that can be adopted to improve the functionality of trauma registries in resource-poor contexts. Increased recognition and support for trauma registry development and improvement in LMICs is critical to reducing the burden of injury in these settings.

What Medical Crowdfunding Campaigns Can Tell Us About Local Health System Gaps and Deficiencies: Exploratory Analysis of British Columbia, Canada.

BACKGROUND: There are a range of perceived gaps and shortcomings in the publicly funded Canadian health system. These include wait times for care, lack of public insurance coverage for dental care and pharmaceuticals, and difficulties accessing specialist care. Medical crowdfunding is a response to these gaps where individuals raise funds from their social networks to address health-related needs. OBJECTIVE: This study aimed to investigate the potential of crowdfunding data to better understand what health-related needs individuals are using crowdfunding for, how these needs compare with the existing commentary on health system deficiencies, and the advantages and limitations of using crowdfunding campaigns to enhance or augment our understanding of perceived health system deficiencies. METHODS: Crowdfunding campaigns were scraped from the GoFundMe website. These campaigns were then limited to those originating in the metropolitan Vancouver region of two health authorities during 2018. These campaigns were then further limited to those raising funds to allow the treatment of a medical problem or related to needs arising from ill health. These campaigns were then reviewed to identify the underlying health issue and motivation for pursuing crowdfunding. RESULTS: We identified 423 campaigns for health-related needs. These campaigns requested CAD $8,715,806 (US $6,088,078) in funding and were pledged CAD $3,477,384 (US $2,428,987) from 27,773 donors. The most common underlying medical condition for campaign recipients was cancer, followed by traumatic injuries from collisions and brain injury and stroke. By far, the most common factor of motivation for crowdfunding was seeking financial support for wages lost because of illness (232/684, 33.9%). Some campaigns (65/684, 9.5%) sought help with purchasing medical equipment and supplies; 8.2% (56/684) sought to fund complementary, alternative, or unproven treatments including experimental interventions; 7.2% (49/684) sought financial support to cover travel-related costs, including in-province and out-of-province (49/684, 7.2%) travel; and 6.3% (43/684) campaigns sought help to pay for medication. CONCLUSIONS: This analysis demonstrates the potential of crowdfunding data to present timely and context-specific user-created insights into the perceived health-related financial needs of some Canadians. Although the literature on perceived limitations of the Canadian health system focuses on wait times for care and limited access to specialist services, among other issues, these campaigners were much more motivated by gaps in the wider social system such as costs related to unpaid time off work and travel to access care. Our findings demonstrate spatial differences in the underlying medical problems, motivations for crowdfunding, and success using crowdfunding that warrants additional attention. These differences may support established concerns that medical crowdfunding is most commonly used by individuals from relatively privileged socioeconomic backgrounds. We encourage the development of new resources to harness the power of crowdfunding data as a supplementary source of information for Canadian health system stakeholders.

Qualitative Field Observation of Pedestrian Injury Hotspots: A Mixed-Methods Approach for Developing Built- and Socioeconomic-Environmental Risk Signatures.

Road traffic injuries constitute a significant global health burden; the World Health Organization estimates that they result in 1.35 million deaths annually. While most pedestrian injury studies rely predominantly on statistical modelling, this paper argues for a mixed-methods approach combining spatial analysis, environmental scans, and local knowledge for assessing environmental risk factors. Using data from the Nova Scotia Trauma Registry, severe pedestrian injury cases and ten corresponding hotspots were mapped across the Halifax Regional Municipality. Using qualitative observation, quantitative environmental scans, and a socioeconomic deprivation index, we assessed hotspots over three years to identify key social- and built-environmental correlates. Injuries occurred in a range of settings; however, clear patterns were not observed based on land use, age, or socio-economic status (SES) alone. Three hotspots revealed an association between elevated pedestrian injury and a pattern of geographic, environmental, and socio-economic factors: low- to middle-SES housing separated from a roadside attraction by several lanes of traffic, and blind hills/bends. An additional generalized scenario was constructed representing common risk factors across all hotspots. This study is unique in that it moves beyond individual measures (e.g., statistical, environmental scans, or geographic information systems (GIS) mapping) to combine all three methods toward identifying environmental features associated with pedestrian motor vehicle crashes (PMVC).

Where to enhance rural palliative care? Developing a spatial model to identify suitable communities most in need of service enhancement.

BACKGROUND: In Canada, access to palliative care is a growing concern, particularly in rural communities. These communities have constrained health care services and accessing local palliative care can be challenging. The Site Suitability Model (SSM) was developed to identify rural "candidate" communities with need for palliative care services and existing health service capacity that could be enhanced to support a secondary palliative care hub. The purpose of this study was to test the feasibility of implementing the SSM in Ontario by generating a ranked summary of rural "candidate" communities as potential secondary palliative care hubs. METHODS: Using Census data combined with community-level data, the SSM was applied to assess the suitability of 12 communities as rural secondary palliative care hubs. Scores from 0 to 1 were generated for four equally-weighted components: (1) population as the total population living within a 1-h drive of a candidate community; (2) isolation as travel time from that community to the nearest community with palliative care services; (3) vulnerability as community need based on a palliative care index score; and (4) community readiness as five dimensions of fit between a candidate community and a secondary palliative care hub. Component scores were summed for the SSM score and adjusted to range from 0 to 1. RESULTS: Population scores for the 12 communities ranged widely (0.19-1.00), as did isolation scores (0.16-0.94). Vulnerability scores ranged more narrowly (0.27-0.35), while community readiness scores ranged from 0.4-1.0. These component scores revealed information about each community's particular strengths and weaknesses. Final SSM scores ranged from a low of 0.33 to a high of 0.76. CONCLUSIONS: The SSM was readily implemented in Ontario. Final scores generated a ranked list based on the relative suitability of candidate communities to become secondary palliative care hubs. This list provides information for policy makers to make allocation decisions regarding rural palliative services. The calculation of each community's scores also generates information for local policy makers about how best to provide these services within their communities. The multi-factorial structure of the model enables decision makers to adapt the relative weights of its components.

"Who is the right patient?" Insights into decisions to transfer pediatric trauma patients.

OBJECTIVE: We aim to determine what variables may influence physician decision-making about transfer of pediatric patients from a Level III Trauma Center (L3TC) to a Pediatric Trauma Center (PTC). METHODS: Emergency L3TC physicians and PTC emergency physicians/TTLs were surveyed with clinical scenarios of children presenting to a L3TC with 5 injury parameters: age, hemodynamic status, GCS, intra-abdominal injury, femur/ pelvic fracture, and asked if the patient should be transferred to a PTC. Associations between parameters and physician demographics in the decision to transfer were examined. RESULTS: One hundred seven and 94 surveys were completed at L3TCs and PTCs, respectively. Parameters associated with decision to transfer: pelvic and GI tract injuries, GCS < 12, and age < 4 years. L3TCs were significantly less likely vs. PTCs to recommend transfer with femur fracture, solid organ / GI injury, or a GCS of <13. Increasing town size, access to an experienced surgeon, and formal training in emergency medicine among L3TC physicians were associated with a decision not to transfer. CONCLUSIONS: Injuries requiring potential surgery or critical care influenced the decision to transfer. For cases with lesser severity or older ages, input of L3TCs on developing triage criteria is vital to allow families to stay in their home communities while ensuring optimal clinical outcomes. TYPE OF STUDY: Prospective Cross Sectional Survey. LEVEL OF EVIDENCE: Level III.

A Method to Interpolate Osteon Volume Designed for Histological Age Estimation Research.

Aging adult skeletal material is a crucial component of building the biological profile of unknown skeletal remains, but many macro- and microscopic methods have challenges regarding accuracy, precision, and replicability. This study developed a volumetric method to visualize and quantify histological remodeling events in three dimensions, using a two-dimensional serialized approach that applied circular polarizing microscopy and geographic information systems protocols. This approach was designed as a tool to extend current histological aging methodologies. Three serial transverse sections were obtained from a human femoral midshaft. A total sample size of 6847 complete osteons from the three sections was identified; 1229 osteons connected between all sections. The volume of all connected osteons was interpolated using ArcGIS area calculations and truncated cone geometric functions. Each section was divided into octants, and two random samples of 100 and of 30 connected osteons from each octant were generated. Osteon volume was compared between the octants for each random sample using ANOVA. Results indicated that the medial aspect had relative uniformity in osteon volume, whereas the lateral aspect showed high variability. The anterolateral-lateral octant had significantly smaller osteon volume, whereas the posterior-posterolateral octant had significantly larger osteon volume. Results also indicated that a minimum of 100 osteons is statistically more robust and more representative of normal osteon distribution and volume; the use of 30 osteons is insufficient. This research has demonstrated that osteon volume can be interpolated using spatial geometry and GIS applications and may be a tool to incorporate into adult age-at-death estimation techniques.

The Local Food Environment and Obesity: Evidence from Three Cities.

OBJECTIVE: This study aimed to identify the association between the food environment and obesity. METHODS: BMI and waist circumference (WC) were measured in 8,076 participants from three cities. The number of fast-food restaurants, full-service restaurants, bars/pubs, markets, and liquor stores within 500 m of each participant was documented. The association between the food environment (ratio of fast-food to full-service restaurants, ratio of bars/pubs to liquor stores, and presence of markets) with obesity (BMI ≥ 30 kg/m2 ) and abdominal obesity (WC ≥ 102 cm for males or WC ≥ 88 cm for females) was investigated, adjusted for age, sex, education level, neighborhood deprivation, neighborhood type, and total hours per week of walking and taking into account city-level clustering. RESULTS: The ratios of fast-food to full-service restaurants and of bars/pubs to liquor stores were positively associated with obesity (OR = 1.05 [CI: 1.02-1.09] and OR = 1.08 [CI: 1.04-1.13], respectively). The ratio of bars/pubs to liquor stores was positively associated with abdominal obesity (OR = 1.10 [CI: 1.05-1.14]). There was no association between markets and either obesity or abdominal obesity. CONCLUSIONS: Features of the food environment have varying associations with obesity. These features have an additive effect, and future studies should not focus on only one feature in isolation.