Association Between Household Deprivation and Living in Informal Settlements and Incidence of Diarrhea in Children Under 5 in Eleven Latin American Cities.

Diarrhea is a leading cause of death in children globally, mostly due to inadequate sanitary conditions and overcrowding. Poor housing quality and lack of tenure security that characterize informal settlements are key underlying contributors to these risk factors for childhood diarrhea deaths. The objective of this study is to better understand the physical attributes of informal settlement households in Latin American cities that are associated with childhood diarrhea. We used data from a household survey (Encuesta CAF) conducted by the Corporación Andina de Fomento (CAF), using responses from sampled individuals in eleven cities. We created a household deprivation score based on household water and sewage infrastructure, overcrowding, flooring and wall material, and security of tenure. We fitted a multivariable logistic regression model to estimate odds ratios (OR) and 95% confidence intervals (95% CI) to test the association between the deprivation score and its individual components and childhood diarrhea during the prior 2 weeks. We included a total of 4732 households with children, out of which 12.2% had diarrhea in the 2-week period prior to completing the survey. After adjusting for respondent age, gender, and city, we found a higher risk of diarrhea associated with higher household deprivation scores. Specifically, we found that the odds of diarrhea for children living in a mild and severe deprived household were 1.04 (95% CI 0.84-1.28) and 3.19 times (95% CI 1.80-5.63) higher, respectively, in comparison to households with no deprivation. These results highlight the connections between childhood health and deprived living conditions common in informal settlements.

Research Translation to Promote Urban Health in Latin America: The SALURBAL Experience.

In highly urbanized and unequal Latin America, urban health and health equity research are essential to effective policymaking. To ensure the application of relevant and context-specific evidence to efforts to reduce urban health inequities, urban health research in Latin America must incorporate strategic research translation efforts. Beginning in 2017, the Urban Health in Latin America (SALURBAL) project implemented policy-relevant research and engaged policymakers and the public to support the translation of research findings. Over 6 years, more than 200 researchers across eight countries contributed to SALURBAL's interdisciplinary network. This network allowed SALURBAL to adapt research and engagement activities to local contexts and priorities, thereby maximizing the policy relevance of research findings and their application to promote policy action, inform urban interventions, and drive societal change. SALURBAL achieved significant visibility and credibility among academic and nonacademic urban health stakeholders, resulting in the development of evidence and tools to support urban policymakers, planners, and policy development processes across the region. These efforts and their outcomes reveal important lessons regarding maintaining flexibility and accounting for local context in research, ensuring that resources are dedicated to policy engagement and dissemination activities, and recognizing that assessing policy impact requires a nuanced understanding of complex policymaking processes. These reflections are relevant for promoting urban health and health equity research translation across the global south and worldwide. This paper presents SALURBAL's strategy for dissemination and policy translation, highlights innovative initiatives and their outcomes, discusses lessons learned, and shares recommendations for future efforts to promote effective translation of research findings.

Temporal trends of dengue cases and deaths from 2007 to 2020 in Belo Horizonte, Brazil.

Dengue, a disease with multifactorial determinants, is linked to population susceptibility to circulating viruses and the extent of vector infestation. This study aimed to analyze the temporal trends of dengue cases and deaths in Belo Horizonte, Minas Gerais, Brazil, from 2007 to 2020. Data from the Notifiable Diseases Information System (Sinan) were utilized for the investigation. To assess the disease's progression over the study period and predict its future incidence, time series analyses were conducted using a generalized additive model (GAM) and a seasonal autoregressive integrated moving average (SARIMA) model. Over the study period, a total of 463,566 dengue cases and 125 deaths were reported. Notably, there was an increase in severe cases and deaths, marking hyperendemics characterized by simultaneous virus circulation (79.17% in 2016-50% in 2019). The generalized additive model revealed a non-linear pattern with epidemic peaks in 2010, 2013, 2016, and 2019, indicating an explosive pattern of dengue incidence. The SARIMA (3,1,1) (0,0,0)12 model was validated for each year (2015 to 2019). Comparing the actual and predicted numbers of dengue cases, the model demonstrated its effectiveness for predicting cases in the municipality. The rising number of dengue cases emphasizes the importance of vector surveillance and control. Enhanced models and predictions by local health services will aid in anticipating necessary control measures to combat future epidemics.

Gender differences in the association of individual and contextual socioeconomic status with hypertension in 230 Latin American cities from the SALURBAL study: a multilevel analysis.

BACKGROUND: Despite global interest in gender disparities and social determinants of hypertension, research in urban areas and regions with a high prevalence of hypertension, such as Latin America, is very limited. The objective of this study was to examine associations of individual- and area-level socioeconomic status with hypertension in adults living in 230 cities in eight Latin America countries. METHODS: In this cross-sectional study, we used harmonized data from 109,184 adults (aged 18-97 years) from the SALURBAL (Salud Urbana en America Latina/Urban Health in Latin America) project. Hypertension was assessed by self-report. Individual-, sub-city- and city-level education were used as proxies of socioeconomic status. All models were stratified by gender. RESULTS: Higher individual-level education was associated with lower odds of hypertension among women (university education or higher versus lower than primary: odds ratio [OR] = 0.67, 95% confidence interval [CI] = 0.61-0.74) but higher odds among men (OR = 1.65; 95%CI 1.47-1.86), although in men an inverse association emerged when measured blood pressure was used (OR = 0.86; 95%CI 0.76-0.97). For both genders, living in sub-city areas with higher educational achievement was associated with higher odds of hypertension (OR per standard deviation [SD] = 1.07, 95%CI = 1.02-1.12; OR = 1.11 per SD, 95%CI = 1.05-1.18, for women and men, respectively). The association of city-level education with hypertension varied across countries. In Peru, there was an inverse association (higher city level education was associated with lower odds of hypertension) in women and men, but in other countries no association was observed. In addition, the inverse association of individual-level education with hypertension became stronger (in women) or emerged (in men) as city or sub-city education increased. CONCLUSION: The social patterning of hypertension differs by gender and by the level of analysis highlighting the importance of context- and gender-sensitive approaches and policies to reduce the prevalence of hypertension in Latin America.

Racial Inequities in Self-Rated Health Across Brazilian Cities: Does Residential Segregation Play a Role?

Racial health inequities may be partially explained by area-level factors such as residential segregation. In this cross-sectional study, using a large, multiracial, representative sample of Brazilian adults (n = 37,009 individuals in the 27 state capitals; National Health Survey (Pesquisa Nacional de Saúde), 2013), we investigated 1) whether individual-level self-rated health (SRH) (fair or poor vs. good or better) varies by race (self-declared White, Brown, or Black) and 2) whether city-level economic or racial residential segregation (using dissimilarity index values in tertiles: low, medium, and high) interacts with race, increasing racial inequities in SRH. Prevalence of fair or poor SRH was 31.5% (Black, Brown, and White people: 36.4%, 34.0%, and 27.3%, respectively). Marginal standardization based on multilevel logistic regression models, adjusted for age, gender, and education, showed that Black and Brown people had, respectively, 20% and 10% higher prevalence of fair or poor SRH than did White people. Furthermore, residential segregation interacted with race such that the more segregated a city, the greater the racial gap among Black, Brown, and White people in fair or poor SRH for both income and race segregation. Policies to reduce racial inequities may need to address residential segregation and its consequences for health.

Loneliness and social disconnectedness in the time of pandemic period among Brazilians: evidence from the ELSI COVID-19 initiative.

Objectives: This study aimed at estimating the pre-pandemic and pandemic prevalence of loneliness and investigating the association of loneliness with social disconnectedness during social distancing strategies in the time of the COVID-19 pandemic period.Methods: We used data from the ELSI COVID-19 initiative with participants from the Brazilian Longitudinal Study of Aging (ELSI-Brazil), which comprised 4,431 participants aged 50 years and over. Loneliness (hardly ever/some of the time/often) was assessed by the question "In the past 30 days, how often did you feel alone/lonely?". Social disconnectedness included information on social contacts through virtual talking (i.e. telephone, Skype, WhatsApp, or social media) and outside-home meetings with people living in another household. Covariates included sociodemographic and health related characteristics. Multinomial logistic regression models were used to estimate odds ratios (OR) with their 95% confidence interval (CI).Results: The overall prevalence of loneliness during the pandemic was 23.9% (95% CI 20.7-27.5); lower than in the pre-pandemic period (32.8%; 95% CI 28.6-37.4). In the pandemic period, 20.1% (95% CI 16.9-23.6) reported some of the time feeling lonely and 3.9% (95% CI 3.1-4.8) reported often feeling lonely. In the fully adjusted model, virtual talking disconnectedness (OR=1.67; 95% CI 1.09-2.56) was positively associated with some of the time feeling lonely and outside-home disconnectedness (OR=0.33; 95% CI 0.18-0.60) was negatively associated with often feeling lonely.Conclusion: Individuals with virtual talking disconnectedness and without outside-home disconnectedness are at higher risk of loneliness during the time of COVID-19 pandemic. Stimulating virtual talking connectedness might have the potential to diminish loneliness despite steep outside-home disconnectedness.

Individual characteristics, perceived neighborhood, and walking for transportation among older Brazilian people residing in a large urban area.

This study aimed to investigate the association of individual and environmental characteristics with walking for transportation among older Brazilian people living in a large urban area. Data from 825 participants (≥ 60 years) from a multistage household survey in Belo Horizonte, Brazil, were used. Walking for transportation was evaluated using the International Physical Activity Questionnaire. The environmental variables included six perceived neighborhood scales (walkability, quality of services, physical disorder, safety, social disorder, and social cohesion). A Poisson regression analysis with robust variance was performed. The walking for transportation was significantly associated with walkability scale, lower family income (up to four minimum wages), very good/good self-rated health, and high social participation. Our results suggest that promoting adequate conditions for walkability in urban areas, expanding the opportunities for social participation, and improving general health is essential to increase walking levels for transportation among this older Brazilian population.

Spatial analysis of dengue incidence and Aedes aegypti ovitrap surveillance in Belo Horizonte, Brazil.

OBJECTIVES: Understanding the intra-urban spatial dynamics of Aedes aegypti and dengue transmission is important to effectively guide vector control. Ovitraps are a sensitive, cost-effective vector surveillance tool, yet few longitudinal studies have evaluated ovitrap indices and dengue occurrence. We aimed to assess the spatial patterns of dengue incidence and Ae. aegypti ovitrap positivity index (OPI) over time and to examine the spatial relationship between these two variables. METHODS: This study used 12 years (2007-2018) of dengue case records and biweekly Ae. aegypti ovitrap data in Belo Horizonte, Brazil. We aggregated data by year and health centre catchment area (n = 152) and used both univariate and bivariate global Moran's I statistic and LISA to evaluate spatial clustering. RESULTS: Annual dengue incidence ranged from 18 to 6262/100 000 residents and displayed spatial autocorrelation in 10/12 years, with shifting areas of high incidence. Annual OPI ranged from 35.7 to 47.6% and was clustered in all study years, but unlike dengue had consistent spatial patterns over time. Bivariate analysis found both positive (6/12 years) and negative (1/12 years) spatial associations between the two variables. CONCLUSIONS: Low detected presence of Ae. aegypti was not a limiting factor in dengue transmission. However, stable spatial distribution of OPI suggests that certain areas may have persistent breeding sites. Future research should identify factors related to persistent Ae. aegypti hotspots to better guide vector management. Vector control efforts should be paired with additional data on population immunity, circulating serotypes and urban factors to better predict and control outbreaks.

OBJECTIFS: La compréhension de la dynamique spatiale intra-urbaine d'Aedes aegypti et de la transmission de la dengue est importante pour guider efficacement la lutte antivectorielle. Les ovitraps sont un outil de surveillance des vecteurs sensible et rentable, mais peu d'études longitudinales ont évalué les indices d'ovitrap et l'occurrence de la dengue. Nous visions à évaluer les modèles spatiaux de l'incidence de la dengue et de l'indice de positivité d'ovitrap (OPI) d'Ae. aegypti au fil du temps, et à examiner la relation spatiale entre ces deux variables. MÉTHODES: Cette étude a utilisé des dossiers de cas de dengue et des données bihebdomadaires d'ovitrap Ae. aegypti sur 12 ans (2007-2018) à Belo Horizonte, au Brésil. Nous avons agrégé les données par année et par zone d'étude du centre de santé (n = 152) et avons utilisé à la fois la statistique I globale de Moran univariée et bivariée et LISA pour évaluer le regroupement spatial. RÉSULTATS: L'incidence annuelle de la dengue variait de 18 à 6.262/100.000 habitants et affichait une autocorrélation spatiale en 10/12 ans, avec des zones de déplacement de forte incidence. L'OPI annuel variait de 35,7 à 47,6% et était groupé dans toutes les années d'étude, mais contrairement à la dengue, il avait des modèles spatiaux consistents au fil du temps. Une analyse bivariée a trouvé des associations spatiales positives (6/12 ans) et négatives (1/12 ans) entre les deux variables. CONCLUSIONS: La détection d'une faible présence d'Ae. aegypti n'était pas un facteur limitant de la transmission de la dengue. Cependant, la distribution spatiale stable de l'OPI suggère que certaines zones peuvent avoir des sites de reproduction persistants. Les recherches futures devraient identifier les facteurs liés à des hotspots persistants d'Ae. aegypti pour mieux guider la gestion des vecteurs. Les efforts de lutte antivectorielle devraient être associés à des données supplémentaires sur l'immunité de la population, les sérotypes circulants et les facteurs urbains pour mieux prévoir et contrôler les flambées.

Exploring neighborhood socioeconomic disparity in self-rated health: a multiple mediation analysis.

There is still a need for more empirical investigations to better understand the causal pathways by which neighborhood socioeconomic contexts translate into states of health. This study explored the relationship between neighborhood socioeconomic position and health, as well as the role of social cohesion, violence, places to buy healthy food, and sports and leisure spaces in mediating this relationship in a diverse set of neighborhoods in Brazil. We applied a general multiple mediation approach to analyze a cross-sectional survey of 4.046 adults living in 149 neighborhoods in 2008 and 2009. The property value was chosen as an indicator of neighborhood socioeconomic position and self-rated health as the outcome. The four mediators were constructed from the self-perception of the participants. Results: We found that people living in economically advantaged neighborhoods were less likely to report their health as being fair/poor/very poor (OR = 0.71; 95% CI = 0.63, 0.76) than people living in disadvantaged neighborhoods, and this effect was mediated by the perception of violence in the neighborhoods. On average, 8.4% of the neighborhood socioeconomic disparity in self-rated health may be explained by violence. We did not ascertain as mediators social cohesion, places to buy healthy food, and sports and leisure spaces. Violence perception mediates the relationship between neighborhood socioeconomic position and self-rated health. Targeted interventions designed to improve the health status of the population could usefully focus on reducing the level of violence in which people live.

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.

Spatial inequalities of retail food stores may determine availability of healthful food choices in a Brazilian metropolis.

OBJECTIVE: To examine the association between economic residential segregation and food environment. DESIGN: Ecological: Food stores categorised according to the NOVA classification were geocoded, and absolute availability was calculated for each neighbourhood. Segregation was measured using local Gi* statistic, a measure of the sd between the economic composition of a neighbourhood (the proportion of heads of households in neighbourhoods earn monthly income of 0 to 3 minimum wages) and larger metropolitan area, weighted by the economic composition of surrounding neighbourhoods. Segregation was categorised as high (most segregated), medium (integrated) and low (less segregated or integrated). A proportional odds models were used to model the association between segregation and food environment. SETTING: Belo Horizonte, Brazil. PARTICIPANTS: Food stores. RESULTS: After adjustment for covariates, neighbourhoods characterised by high economic segregation had fewer food stores overall compared with neighbourhoods characterised by low segregation (OR = 0·56; 95 % CI (0·45, 0·69)). In addition, high segregated neighbourhoods were 49 % (OR = 0·51; 95 % CI (0·42, 0·61)) and 45 % (OR = 0·55; 95 % CI (0·45, 0·67)) less likely to have a high number of food stores that predominantly marketed ultra-processed foods and mixed food stores, respectively, as compared with their counterparts. CONCLUSIONS: Economic segregation is associated with differences in the distribution of food stores. Both low and high segregation territories should be prioritised by public policies to ensure healthy and adequate nutrition as a right for all communities. The former must continue to be protected from access to unhealthy commercial food outlets, while the latter must be the locus of actions that limit the availability of unhealthy commercial food store.

Promoting knowledge to policy translation for urban health using community-based system dynamics in Brazil.

BACKGROUND: Effectively bridging the knowledge-policy gap to support the development of evidence-based policies that promote health and well-being remains a challenge for both the research and policy communities. Community-based system dynamics (CBSD) is a participatory modelling approach that aims to build stakeholders' capacity to learn and address complex problems collaboratively. However, limited evidence is available about the contributions of CBSD to knowledge-generating and policy processes across sectors and policy spheres. In the context of a multi-country research project focused on creating an evidence base to inform urban health policies across Latin America, a series of CBSD workshops convened stakeholders from research, policy-making, and other backgrounds working in food and transportation systems. Diverse participants were selected aiming to incorporate multiple perspectives relevant to understanding complex urban systems linked to food and transportation. This study focuses on one of these workshops, whose avenue was São Paulo, Brazil, assembling country-based participants representing local, regional, national, and international institutions with multidisciplinary backgrounds linked to food and transportation systems. OBJECTIVE: The aim of this case study is to explore the perceived influence of one of these workshops on attendees' understandings of food and transportation systems and their relationship to healthy urban environments, with attention to the role of the workshop in supporting knowledge to policy translation for urban health. METHODS: We conducted 18 semi-structured qualitative interviews with attendees one year after their participation in a CBSD workshop held in São Paulo, Brazil. A framework method approach was used to code participants' responses and identify emerging themes. RESULTS: Participants reported that the workshop's group model-building activities influenced their understanding of the knowledge-policy process as it relates to food and transport systems. Workshop contributed to participants' (1) abilities to engage with multisectoral stakeholders, (2) construct a shared language and understanding of urban challenges, (3) improve understanding of the interconnectedness across food and transportation systems, (4) facilitate dialogue across sectors, and (5) apply a systems thinking approach within their sector and professional context. Participants continued to draw on the tools developed during the workshop, and to apply systems thinking to their research and policy-making activities. CONCLUSIONS: CBSD may offer valuable opportunities to connect the research sector to the policy-making process. This possibility may contribute to knowledge to policy translation in the interconnection between the urban context, food and transportation systems, and health.

Perceived Neighborhood and Walking Among Older Brazilian Adults Living in Urban Areas: A National Study (ELSI-Brazil).

The study goal was to examine the association between perceived neighborhood characteristics and walking in urban older adults in Brazil. A cross-sectional study including 4,027 older adults from the baseline of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) was performed. Walking was measured using the International Physical Activity Questionnaire. Neighborhood characteristics were questions about physical disorder, noise pollution, safety, violence, social cohesion, services, concerns with community mobility, and pleasantness. Multinomial logistic regression was used. Concern about taking the bus, subway, or train was inversely associated with walking for men. Violence (victim of theft, robbery, or had home broken into) and social cohesion (trust in neighbors) were positively and inversely associated with walking for women, respectively. A significant interaction term between social cohesion and number of chronic diseases was observed for women. These findings demonstrate the need for sex-specific interventions and policies to increase the walking levels among older Brazilian adults.

Disentangling associations between vegetation greenness and dengue in a Latin American city: Findings and challenges.

Being a Re-Emerging Infectious Disease, dengue causes 390 million cases globally and is prevalent in many urban areas in South America. Understanding the fine-scale relationships between dengue incidence and environmental and socioeconomic factors can guide improved disease prevention strategies. This ecological study examines the association between dengue incidence and satellite-based vegetation greenness in 3826 census tracts nested in 474 neighborhoods in Belo Horizonte, Brazil, during the 2010 dengue epidemic. To reduce potential bias in the estimated dengue-greenness association, we adjusted for socioeconomic vulnerability, population density, building height and density, land cover composition, elevation, weather patterns, and neighborhood random effects. We found that vegetation greenness was negatively associated with dengue incidence in a univariate model, and this association attenuated after controlling for additional covariates. The dengue-greenness association was modified by socioeconomic vulnerability: while a positive association was observed in the least vulnerable census tracts, the association was negative in the most vulnerable areas. Using greenness as a proxy for vegetation quality, our results show the potential of vegetation management in reducing dengue incidence, particularly in socioeconomically vulnerable areas. We also discuss the role of water infrastructure, sanitation services, and tree cover in lowering dengue risk.

Twenty-Two years of dengue fever (1996-2017): an epidemiological study in a Brazilian city.

This ecological study analyzed the temporal pattern of clinically diagnosed and laboratory confirmed dengue cases in Belo Horizonte, Minas Gerais, Brazil from 1996 to 2017. The study was divided into two analytical parts, the first of which evaluated the association between dengue incidence and host and climatic factors. The second part encompassed data from 2002 to 2017 and examined dengue incidence in relation to virus serotype and an intra-urban socioeconomic index. Over 22 years there were 469,171 cases and four epidemic peaks. There was an increase in the number, severity, and lethality of cases over the last 10 years of the study period. Biological and environmental factors appear to modulate the behavior of dengue in a large urban center.

Slum Health: Arresting COVID-19 and Improving Well-Being in Urban Informal Settlements.

The informal settlements of the Global South are the least prepared for the pandemic of COVID-19 since basic needs such as water, toilets, sewers, drainage, waste collection, and secure and adequate housing are already in short supply or non-existent. Further, space constraints, violence, and overcrowding in slums make physical distancing and self-quarantine impractical, and the rapid spread of an infection highly likely. Residents of informal settlements are also economically vulnerable during any COVID-19 responses. Any responses to COVID-19 that do not recognize these realities will further jeopardize the survival of large segments of the urban population globally. Most top-down strategies to arrest an infectious disease will likely ignore the often-robust social groups and knowledge that already exist in many slums. Here, we offer a set of practice and policy suggestions that aim to (1) dampen the spread of COVID-19 based on the latest available science, (2) improve the likelihood of medical care for the urban poor whether or not they get infected, and (3) provide economic, social, and physical improvements and protections to the urban poor, including migrants, slum communities, and their residents, that can improve their long-term well-being. Immediate measures to protect residents of urban informal settlements, the homeless, those living in precarious settlements, and the entire population from COVID-19 include the following: (1) institute informal settlements/slum emergency planning committees in every urban informal settlement; (2) apply an immediate moratorium on evictions; (3) provide an immediate guarantee of payments to the poor; (4) immediately train and deploy community health workers; (5) immediately meet Sphere Humanitarian standards for water, sanitation, and hygiene; (6) provide immediate food assistance; (7) develop and implement a solid waste collection strategy; and (8) implement immediately a plan for mobility and health care. Lessons have been learned from earlier pandemics such as HIV and epidemics such as Ebola. They can be applied here. At the same time, the opportunity exists for public health, public administration, international aid, NGOs, and community groups to innovate beyond disaster response and move toward long-term plans.

A systematic review of empirical and simulation studies evaluating the health impact of transportation interventions.

Urban transportation is an important determinant of health and environmental outcomes, and therefore essential to achieving the United Nation's Sustainable Development Goals. To better understand the health impacts of transportation initiatives, we conducted a systematic review of longitudinal health evaluations involving: a) bus rapid transit (BRT); b) bicycle lanes; c) Open Streets programs; and d) aerial trams/cable cars. We also synthesized systems-based simulation studies of the health-related consequences of walking, bicycling, aerial tram, bus and BRT use. Two reviewers screened 3302 unique titles and abstracts identified through a systematic search of MEDLINE (Ovid), Scopus, TRID and LILACS databases. We included 39 studies: 29 longitudinal evaluations and 10 simulation studies. Five studies focused on low- and middle-income contexts. Of the 29 evaluation studies, 19 focused on single component bicycle lane interventions; the rest evaluated multi-component interventions involving: bicycle lanes (n = 5), aerial trams (n = 1), and combined bicycle lane/BRT systems (n = 4). Bicycle lanes and BRT systems appeared effective at increasing bicycle and BRT mode share, active transport duration, and number of trips using these modes. Of the 10 simulation studies, there were 9 agent-based models and one system dynamics model. Five studies focused on bus/BRT expansions and incentives, three on interventions for active travel, and the rest investigated combinations of public transport and active travel policies. Synergistic effects were observed when multiple policies were implemented, with several studies showing that sizable interventions are required to significantly shift travel mode choices. Our review indicates that bicycle lanes and BRT systems represent promising initiatives for promoting population health. There is also evidence to suggest that synergistic effects might be achieved through the combined implementation of multiple transportation policies. However, more rigorous evaluation and simulation studies focusing on low- and middle-income countries, aerial trams and Open Streets programs, and a more diverse set of health and health equity outcomes is required.

Disparities in food consumption between economically segregated urban neighbourhoods.

OBJECTIVE: To examine associations between economic residential segregation and prevalence of healthy and unhealthy eating markers. DESIGN: Cross-sectional. A stratified sample was selected in a three-stage process. Prevalence of eating markers and their 95 % CI were estimated according to economic residential segregation: high (most segregated); medium (integrated) and low (less segregated or integrated). Segregation was measured at the census tract and assessed using the Getis-Ord local $G_i^{\rm{\ast}}$ statistic based on the proportion of heads of household in a neighbourhood earning a monthly income of 0-3 minimum wages. Binary logistic regression using generalized estimating equations were used to model the associations. SETTING: Belo Horizonte, Brazil. PARTICIPANTS: Adults (n 1301) residing in the geographical environment (178 census tracts) of ten units of the Brazilian primary-care service known as the Health Academy Program. RESULTS: Of the 1301 participants, 27·7 % lived in highly segregated neighbourhoods, where prevalence of regular consumption of fruit was lower compared with more affluent areas (34·6 v. 53·2 %, respectively). Likewise, regular consumption of vegetables (70·1 v. 87·6 %), fish (23·6 v. 42·3 %) and replacement of lunch or dinner with snacks (0·8 v. 4·7 %) were lower in comparison to more affluent areas. In contrast, regular consumption of beans was higher (91·0 v. 79·5 %). The associations of high-segregated neighbourhood with consumption of vegetables (OR = 0·62; 95 % CI 0·39, 0·98) and beans (OR = 1·85; 95 % CI 1·07, 3·19) remained significant after adjustments. CONCLUSIONS: Economic residential segregation was associated with healthy eating markers even after adjustments for individual-level factors and perceived food environment.

Correction to: Extending Data for Urban Health Decision-Making: a Menu of New and Potential Neighborhood-Level Health Determinants Datasets in LMICs.

Readers should note an additional Acknowledgment for this article: Dana Thomson is funded by the Economic and Social Research Council grant number ES/5500161/1.

Built and Social Environment by Systematic Social Observation and Leisure-Time Physical Activity Report among Brazilian Adults: a Population-Based Study.

The aim of this study was to investigate the relationship between built and social environment and leisure-time physical activity (LTPA) among adults living in an urban center. The individual data was from the household survey and the environmental data was assessed through systematic social observation by trained observers on street segments of respondents' residences. The relationship between environmental factors and LTPA was examined using multilevel logistic regression. The prevalence of LTPA was 30.2% (95% CI 27.4-32.9%). Individuals living in census tracts with higher walking environment indicators (OR = 1.20; 95% CI 1.02 to 1.40) and safety (OR = 1.18; 95% CI 1.01 to 1.38) were more likely to be active during leisure time, even after adjusting for individual variables. Improving the built and social environment is an important step for achieving higher levels of LTPA in the population in a middle-income country.