Urban landscape and street-design factors associated with road-traffic mortality in Latin America between 2010 and 2016 (SALURBAL): an ecological study.

BACKGROUND: Road-traffic injuries are a key cause of death and disability in low-income and middle-income countries, but the effect of city characteristics on road-traffic mortality is unknown in these countries. The aim of this study was to determine associations between city-level built environment factors and road-traffic mortality in large Latin American cities. METHODS: We selected cities from Argentina, Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico, Panama, and Peru; cities included in the analysis had a population of at least 100 000 people. We extracted data for road-traffic deaths that occurred between 2010 and 2016 from country vital registries. Deaths were grouped by 5-year age groups and sex. Road-traffic deaths were identified using ICD-10 codes, with adjustments for ill-defined codes and incomplete registration. City-level measures included population, urban development, street design, public transportation, and social environment. Associations were estimated using multilevel negative binomial models with robust variances. FINDINGS: 366 cities were included in the analysis. There were 328 408 road-traffic deaths in nearly 3·5 billion person-years across all countries, with an average crude rate of 17·1 deaths per 100 000 person-years. Nearly half of the people who died were younger than 35 years. In multivariable models, road-traffic mortality was higher in cities where urban development was more isolated (rate ratio [RR] 1·05 per 1 SD increase, 95% CI 1·02-1·09), but lower in cities with higher population density (0·94, 0·90-0·98), higher gross domestic product per capita (0·96, 0·94-0·98), and higher intersection density (0·92, 0·89-0·95). Cities with mass transit had lower road mortality rates than did those without (0·92, 0·86-0·99). INTERPRETATION: Urban development policies that reduce isolated and disconnected urban development and that promote walkable street networks and public transport could be important strategies to reduce road-traffic deaths in Latin America and elsewhere. FUNDING: Wellcome Trust.

Associations of Sociodemographic Factors and Health Behaviors with the Emotional Well-Being of Adolescents during the COVID-19 Pandemic in Brazil.

This cross-sectional study utilizes data from a nationwide web-based survey aimed to identify the factors affecting the emotional well-being of Brazilian adolescents aged 12-17 during the period of school closures and confinement. Data collection took place from 27 June to 17 September 2020. We used the "virtual snowball" sampling method, and students from private and public schools were included. A total of 9470 adolescents were analyzed. A hierarchical logistic regression model was used to find the factors associated with reporting at least two of three self-reported problems-sadness, irritability, and sleep problems. The main proximal factor was loneliness (AdjOR = 8.12 p < 0.001). Problems related to school closures also played an important role. Regular intake of fruits and vegetables, as well as physical activity, demonstrated a positive influence on emotional well-being, while excessive screen time (AdjOR = 2.05, p < 0.001) and alcohol consumption negatively affected outcomes (AdjOR = 1.73, p < 0.001). As for distal variables, less affluent adolescents were the most affected, and males reported fewer emotional problems than females. Uncertainty regarding the disease in a context of socioeconomic vulnerability, together with rises in unhealthy behaviors and isolation from their immediate social circles, have negatively affected adolescents' emotional status throughout the COVID-19 pandemic.

Web Data Mining: Validity of Data from Google Earth for Food Retail Evaluation.

To overcome the challenge of obtaining accurate data on community food retail, we developed an innovative tool to automatically capture food retail data from Google Earth (GE). The proposed method is relevant to non-commercial use or scholarly purposes. We aimed to test the validity of web sources data for the assessment of community food retail environment by comparison to ground-truth observations (gold standard). A secondary aim was to test whether validity differs by type of food outlet and socioeconomic status (SES). The study area included a sample of 300 census tracts stratified by SES in two of the largest cities in Brazil, Rio de Janeiro and Belo Horizonte. The GE web service was used to develop a tool for automatic acquisition of food retail data through the generation of a regular grid of points. To test its validity, this data was compared with the ground-truth data. Compared to the 856 outlets identified in 285 census tracts by the ground-truth method, the GE interface identified 731 outlets. In both cities, the GE interface scored moderate to excellent compared to the ground-truth data across all of the validity measures: sensitivity, specificity, positive predictive value, negative predictive value and accuracy (ranging from 66.3 to 100%). The validity did not differ by SES strata. Supermarkets, convenience stores and restaurants yielded better results than other store types. To our knowledge, this research is the first to investigate using GE as a tool to capture community food retail data. Our results suggest that the GE interface could be used to measure the community food environment. Validity was satisfactory for different SES areas and types of outlets.

Spatio-temporal trends in the risk of adolescent pregnancy in Minas Gerais, Brazil, 2000-2015.

PURPOSE: To investigate, through a spatio-temporal analysis, the association between the percentages of live births of adolescent mothers (LBAM) and the human development index (HDI), including the three components: income, education and longevity. METHODS: The percentage of LBAM was obtained from the Brazilian Live Births Information System for the state of Minas Gerais, Brazil in the period 2000-2015 and the HDI data and its components were obtained from United Nations Development Program's (UNDP) Human Development Reports. A generalized additive model (GAM) was used to estimate the relative risk of LBAM in relation to the HDI and to identify spatial clusters of the geographical distribution of LBAM, the Moran global and local index was used. RESULTS: There is an association between the HDI and its components with LBAM. The high values of relative risk are spatially concentrated in the northern part of the state of Minas Gerais. The graphs indicated a nonlinear relationship between LBAM over the years. CONCLUSIONS: There is a strong spatial dependence of LBAM in Minas Gerais, which suggests that a geographical location plays a fundamental role in understanding it. The regional disparity confirmed in this study is inherent in the process of human development, it is important for planning actions aimed at the development of these regions in order to minimize existing disparities.

Does community deprivation determine longevity after the age of 75? A cross-national analysis.

OBJECTIVES: Analyze the association between socioeconomic deprivation and old-age survival in Europe, and investigate whether it varies by country and gender. METHODS: Our study incorporated five countries (Portugal, Spain, France, Italy, and England). A 10-year survival rate expressing the proportion of population aged 75-84 years who reached 85-94 years old was calculated at area-level for 2001-11. To estimate associations, we used Bayesian spatial models and a transnational measure of deprivation. Attributable/prevention fractions were calculated. RESULTS: Overall, there was a significant association between deprivation and survival in both genders. In England that association was stronger, following a dose-response relation. Although lesser in magnitude, significant associations were observed in Spain and Italy, whereas in France and Portugal these were even weaker. The elimination of socioeconomic differences between areas would increase survival by 7.1%, and even a small reduction in socioeconomic differences would lead to a 1.6% increase. CONCLUSIONS: Socioeconomic deprivation was associated with survival among older adults at ecological-level, although with varying magnitude across countries. Reasons for such cross-country differences should be sought. Our results emphasize the importance of reducing socioeconomic differences between areas.

The influence of socioeconomic, biogeophysical and built environment on old-age survival in a Southern European city.

Old-age survival is a good indicator of population health and regional development. We evaluated the spatial distribution of old-age survival across Porto neighbourhoods and its relation with physical (biogeophysical and built) and socioeconomic factors (deprivation). Smoothed survival rates and odds ratio (OR) were estimated using Bayesian spatial models. There were important geographical differentials in the chances of survival after 75 years of age. Socioeconomic deprivation strongly impacted old-age survival (Men: least deprived areas OR=1.31(1.05-1.63); Women OR=1.53(1.24-1.89)), explaining over 40% of the spatial variance. Walkability and biogeophysical environment were unrelated to old-age survival and also unrelated to socioeconomic deprivation, being fairly evenly distributed through the city.

Development of a measure of multiple physical environmental deprivation. After United Kingdom and New Zealand, Portugal.

BACKGROUND: Spatial inequalities in health have been identified, but the contribution of physical environment has been largely ignored. In Portugal, strong spatial differences in morbidity and mortality remain unexplained. Based on previous United Kingdom (UK) and New Zealand (NZ) research, we aimed to develop a Portuguese measure of multiple environmental deprivation (PT-MEDIx) to assist in understanding spatial inequalities in health. METHODS: PT-MEDIx was built at municipality level in four stages: (i) identify health-relevant environmental factors; (ii) acquire datasets about selected environmental factors and calculate municipality-level measures using Geographical Information Systems; (iii) test associations between selected environmental factors and mortality using negative binomial models, adjusting for age, sex, socioeconomic deprivation and interactions and (iv) construct a summary measure and assess its association with mortality. RESULTS: We included five dimensions of the physical environment: air pollution, climate, drinking water quality, green space availability and industry proximity. PT-MEDIx score ranged from -1 (least environmental deprivation) to +4 (most) and depicted a clear spatial pattern: least deprived municipalities in the depopulated rural areas and most deprived in urban and industrial settings. Comparing with those in the intermediate category of environment deprivation, less deprived municipalities showed lower mortality rate ratios (MRRs) and vice versa: MRRs for all-cause mortality were 0.962 (95% confidence interval: 0.934-0.991) and 1.209 (1.086-1.344), in the least and most deprived municipalities, respectively, and for cancer, 0.957 (0.911-1.006) and 1.345 (1.123-1.598). CONCLUSIONS: The methods used to create UK and NZ indexes have good transferability to Portugal. MEDIx might contribute to untangle the complex pathways that link health, socioeconomic and physical environment.

Physical activity-friendly neighbourhood among older adults from a medium size urban setting in Southern Europe.

OBJECTIVE: In this cross-sectional study, we examined the relationship between socio-environmental characteristics of neighborhood of residence and the frequency of leisure-time physical activity (LTPA) among older adults from Porto (Portugal). METHOD: Data from EpiPorto - a prospective adult cohort study from Porto (Portugal) - were used. Only adults aged ≥ 65 at baseline (1999-2003) were included (n=580). We used a Geographic Information System to objectively measure the neighborhood characteristics and Generalized Additive Models to estimate their effect on participation in LTPA (none vs. some reported) and frequency of LTPA (min/day). RESULTS: 62% of the participants reported no LTPA. Active elderly spent on average 38 (women) and 67 (men) minutes per day exercising. Neighborhood characteristics were unrelated to whether older people exercised or not. However, among active individuals, distance to the nearest destination (ß=-0.154, p=0.016), in women, and distance to the nearest park, in men (-0.030, 0.050), were predictors of LTPA frequency. CONCLUSION: There was almost no association between neighborhood characteristics and whether older adults engaged in LTPA or not, but among those that did engage, neighborhood characteristics were associated with increased frequency of LTPA. The promotion of well distributed destinations and parks might improve physical activity levels among the elderly.

MIQuant--semi-automation of infarct size assessment in models of cardiac ischemic injury.

BACKGROUND: The cardiac regenerative potential of newly developed therapies is traditionally evaluated in rodent models of surgically induced myocardial ischemia. A generally accepted key parameter for determining the success of the applied therapy is the infarct size. Although regarded as a gold standard method for infarct size estimation in heart ischemia, histological planimetry is time-consuming and highly variable amongst studies. The purpose of this work is to contribute towards the standardization and simplification of infarct size assessment by providing free access to a novel semi-automated software tool. The acronym MIQuant was attributed to this application. METHODOLOGY/PRINCIPAL FINDINGS: Mice were subject to permanent coronary artery ligation and the size of chronic infarcts was estimated by area and midline-length methods using manual planimetry and with MIQuant. Repeatability and reproducibility of MIQuant scores were verified. The validation showed high correlation (r(midline length) = 0.981; r(area) = 0.970 ) and agreement (Bland-Altman analysis), free from bias for midline length and negligible bias of 1.21% to 3.72% for area quantification. Further analysis demonstrated that MIQuant reduced by 4.5-fold the time spent on the analysis and, importantly, MIQuant effectiveness is independent of user proficiency. The results indicate that MIQuant can be regarded as a better alternative to manual measurement. CONCLUSIONS: We conclude that MIQuant is a reliable and an easy-to-use software for infarct size quantification. The widespread use of MIQuant will contribute towards the standardization of infarct size assessment across studies and, therefore, to the systematization of the evaluation of cardiac regenerative potential of emerging therapies.

International survey of primary and revision total knee replacement.

PURPOSE: Total knee arthroplasty (TKA) is currently the international standard of care for treating degenerative and rheumatologic knee joint disease, as well as certain knee joint fractures. We sought to answer the following three research questions: (1) What is the international variance in primary and revision TKA rates around the world? (2) How do patient demographics (e.g., age, gender) vary internationally? (3) How have the rates of TKA utilization changed over time? METHODS: The survey included 18 countries with a total population of 755 million, and an estimated 1,324,000 annual primary and revision total knee procedures. Ten national inpatient databases were queried for this study from Canada, the United States, Finland, France, Germany, Italy, the Netherlands, Portugal, Spain, and Switzerland. Inpatient data were also compared with published registry data for eight countries with operating arthroplasty registers (Denmark, England & Wales, Norway, Romania, Scotland, Sweden, Australia, and New Zealand). RESULTS: The average and median rate of primary and revision (combined) total knee replacement was 175 and 149 procedures/100,000 population, respectively, and ranged between 8.8 and 234 procedures/100,000 population. We observed that the procedure rate significantly increased over time for the countries in which historical data were available. The compound annual growth in the incidence of TKA ranged by country from 5.3% (France) to 17% (Portugal). We observed a nearly 27-fold range of TKA utilization rates between the 18 different countries included in the survey. CONCLUSION: It is apparent from the results of this study that the demand for TKA has risen substantially over the past decade in countries around the world.