Social determinants of the health of urban populations: methodologic considerations

Disparities in breast cancer screening and diagnosis: Urban-suburban contrasts in the wake of the COVID-19 pandemic

PURPOSE

Compare the reduction and recovery of breast cancer screening and diagnostic services in urban versus suburban communities during the COVID-19 pandemic to identify opportunities for advancing equitable breast cancer detection.

METHODS

This retrospective cohort study used the Montage™ data mining system to analyze percent change in the number of screening and diagnostic mammograms, breast biopsies, and breast cancer diagnoses at a single mid-Atlantic institution with urban and suburban sites centered in and around Philadelphia, Pennsylvania from 1/1/2019 to 12/31/2022, with urban-suburban subset comparison from 1/1/2019 to 12/31/2021.

RESULTS

In 2020, screening mammogram volume dropped 23.9 % at urban sites and 1.6 % at suburban sites while diagnostic mammogram volume decreased 26.4 % at urban and 21.4 % at suburban sites. In 2021, screening volume at urban and suburban sites was 2.6 % and 31.0 % greater than pre-pandemic levels, and diagnostic volume was 28.5 % and 16.9 % below pre-pandemic levels. That same year, the proportion of invasive ductal carcinoma at urban sites increased by 26.2 %. In 2022, screening volume at all sites surpassed pre-pandemic levels by 19.5 % while diagnostic volume remained 21.7 % less than pre-pandemic levels.

CONCLUSION

The COVID-19 pandemic disproportionately reduced breast cancer screening and diagnostic services in urban communities, who experienced slower recovery and increased invasive breast cancer in the subsequent year. Throughout our institution, screening mammograms surpassed pre-pandemic levels in 2021 and 2022 while diagnostic services remained below pre-pandemic levels through 2022. Considering these findings, we must improve access to breast cancer screening and diagnosis to mitigate the long-term consequences of the pandemic.

On the development and validation of large language model-based classifiers for identifying social determinants of health

The assessment of social determinants of health (SDoH) within healthcare systems is crucial for comprehensive patient care and addressing health disparities. Current challenges arise from the limited inclusion of structured SDoH information within electronic health record (EHR) systems, often due to the lack of standardized diagnosis codes. This study delves into the transformative potential of large language models (LLM) to overcome these challenges. LLM-based classifiers-using Bidirectional Encoder Representations from Transformers (BERT) and A Robustly Optimized BERT Pretraining Approach (RoBERTa)-were developed for SDoH concepts, including homelessness, food insecurity, and domestic violence, using synthetic training datasets generated by generative pre-trained transformers combined with authentic clinical notes. Models were then validated on separate datasets: Medical Information Mart for Intensive Care-III and our institutional EHR data. When training the model with a combination of synthetic and authentic notes, validation on our institutional dataset yielded an area under the receiver operating characteristics curve of 0.78 for detecting homelessness, 0.72 for detecting food insecurity, and 0.83 for detecting domestic violence. This study underscores the potential of LLMs in extracting SDoH information from clinical text. Automated detection of SDoH may be instrumental for healthcare providers in identifying at-risk patients, guiding targeted interventions, and contributing to population health initiatives aimed at mitigating disparities.

The effect of carbon dioxide emission, GDP per capita and urban population on health expenditure in OECD countries: a panel ARDL approach

The dramatic growth in health expenditures is an important health policy concern worldwide. Therefore, understanding the factors that increase health expenditures provides policy makers with evidence for decision-making. We aim to examine long-term effects of carbon dioxide emission, urbanization rate and GDP per capita on health expenditures. This study investigates the effect of carbon dioxide emission, urban population, and GDP per capita on health expenditure for 21 OECD countries over the period 1992-2018. Panel ARDL Approach and Gengenbach, Urbain and Westerlund Panel Co-integration Test have been used in the article. Test results indicate the long-run relationship among health expenditure and carbon dioxide emission, urban population, and GDP per capita. Effect of carbon dioxide emission (CO2), urban population, and GDP per capita is significant and positive on health expenditure. Rapid economic growths of OECD countries recently and environmental pollution have increased health expenditures in the long term.

Stakeholder Perspectives on Data-Driven Solutions to Address Cardiovascular Disease and Health Equity in New York City

Introduction

There is growing recognition of the importance of addressing the social determinants of health in efforts to improve health equity. In dense urban environments such as New York City, disparities in chronic health conditions (e.g., cardiovascular disease) closely mimic inequities in social factors such as income, education, and housing. Although there is a wealth of data on these social factors in New York City, little is known about how to rapidly use available data sources to address health disparities.

Methods

Semistructured interviews were conducted with key stakeholders (N=11) from across the public health landscape in New York City (health departments, healthcare delivery systems, and community-based organizations) to assess perspectives on how social determinants of health data can be used to address cardiovascular disease and health equity, what data-driven tools would be useful, and challenges to using these data sources and developing tools. A matrix analysis approach was used to analyze the interview data.

Results

Stakeholders were optimistic about using social determinants of health data to address health equity by delivering holistic care, connecting people with additional resources, and increasing investments in under-resourced communities. However, interviewees noted challenges related to the quality and timeliness of social determinants of health data, interoperability between data systems, and lack of consistent metrics related to cardiovascular disease and health equity.

Conclusions

Future research on this topic should focus on mitigating the barriers to using social determinants of health data, which includes incorporating social determinants of health data from other sectors. There is also a need to assess how data-driven solutions can be implemented within and across communities and organizations.

Identifying, Measuring, and Ranking Social Determinants of Health for Health Promotion Interventions Targeting Informal Settlement Residents

OBJECTIVES

Considering the importance of social determinants of health (SDHs) in promoting the health of residents of informal settlements and their diversity, abundance, and breadth, this study aimed to identify, measure, and rank SDHs for health promotion interventions targeting informal settlement residents in a metropolitan area in Iran.

METHODS

Using a hybrid method, this study was conducted in 3 phases from 2019 to 2020. SDHs were identified by reviewing studies and using the Delphi method. To examine the SDHs among informal settlement residents, a cross-sectional analysis was conducted using researcher-made questionnaires. Multilayer perceptron analysis using an artificial neural network was used to rank the SDHs by priority.

RESULTS

Of the 96 determinants identified in the first phase of the study, 43 were examined, and 15 were identified as high-priority SDHs for use in health-promotion interventions for informal settlement residents in the study area. They included individual health literacy, nutrition, occupational factors, housing-related factors, and access to public resources.

CONCLUSIONS

Since identifying and addressing SDHs could improve health justice and mitigate the poor health status of settlement residents, ranking these determinants by priority using artificial intelligence will enable policymakers to improve the health of settlement residents through interventions targeting the most important SDHs.

An analysis of migration and implications for health in government policy of South Africa

For over a decade, the global health community has advanced policy engagement with migration and health, as reflected in multiple global-led initiatives. These initiatives have called on governments to provide universal health coverage to all people, regardless of their migratory and/or legal status. South Africa is a middle-income country that experiences high levels of cross-border and internal migration, with the right to health enshrined in its Constitution. A National Health Insurance Bill also commits the South African public health system to universal health coverage, including for migrant and mobile groups. We conducted a study of government policy documents (from the health sector and other sectors) that in our view should be relevant to issues of migration and health, at national and subnational levels in South Africa. We did so to explore how migration is framed by key government decision makers, and to understand whether positions present in the documents support a migrant-aware and migrant-inclusive approach, in line with South Africa's policy commitments. This study was conducted between 2019 and 2021, and included analysis of 227 documents, from 2002-2019. Fewer than half the documents identified (101) engaged directly with migration as an issue, indicating a lack of prioritisation in the policy discourse. Across these documents, we found that the language or discourse across government levels and sectors focused mainly on the potential negative aspects of migration, including in policies that explicitly refer to health. The discourse often emphasised the prevalence of cross-border migration and diseases, the relationship between immigration and security risks, and the burden of migration on health systems and other government resources. These positions attribute blame to migrant groups, potentially fuelling nationalist and anti-migrant sentiment and largely obscuring the issue of internal mobility, all of which could also undermine the constructive engagement necessary to support effective responses to migration and health. We provide suggestions on how to advance engagement with issues of migration and health in order for South Africa and countries of a similar context in regard to migration to meet the goal of inclusion and equity for migrant and mobile groups.

Healthy Cities, A comprehensive dataset for environmental determinants of health in England cities

This paper presents a fine-grained and multi-sourced dataset for environmental determinants of health collected from England cities. We provide health outcomes of citizens covering physical health (COVID-19 cases, asthma medication expenditure, etc.), mental health (psychological medication expenditure), and life expectancy estimations. We present the corresponding environmental determinants from four perspectives, including basic statistics (population, area, etc.), behavioural environment (availability of tobacco, health-care services, etc.), built environment (road density, street view features, etc.), and natural environment (air quality, temperature, etc.). To reveal regional differences, we extract and integrate massive environment and health indicators from heterogeneous sources into two unified spatial scales, i.e., at the middle layer super output area (MSOA) and the city level, via big data processing and deep learning. Our data holds great promise for diverse audiences, such as public health researchers and urban designers, to further unveil the environmental determinants of health and design methodology for a healthy, sustainable city.

A Quasi-Experimental Study of Medicaid Expansion and Urban Mortality in the American Northeast

Objectives: To investigate the association of state-level Medicaid expansion and non-elderly mortality rates from 1999 to 2018 in Northeastern urban settings.

Methods: This quasi-experimental study utilized a synthetic control method to assess the association of Medicaid expansion on non-elderly urban mortality rates [1999–2018]. Counties encompassing the largest cities in the Northeastern Megalopolis (Washington D.C., Baltimore, Philadelphia, New York City, and Boston) were selected as treatment units (n = 5 cities, 3,543,302 individuals in 2018). Cities in states without Medicaid expansion were utilized as control units (n = 17 cities, 12,713,768 individuals in 2018).

Results: Across all cities, there was a significant reduction in the neoplasm (Population-Adjusted Average Treatment Effect = −1.37 [95% CI −2.73, −0.42]) and all-cause (Population-Adjusted Average Treatment Effect = −2.57 [95%CI −8.46, −0.58]) mortality rate. Washington D.C. encountered the largest reductions in mortality (Average Treatment Effect on All-Cause Medical Mortality = −5.40 monthly deaths per 100,000 individuals [95% CI −12.50, −3.34], −18.84% [95% CI −43.64%, −11.67%] reduction, p = < 0.001; Average Treatment Effect on Neoplasm Mortality = −1.95 monthly deaths per 100,000 individuals [95% CI −3.04, −0.98], −21.88% [95% CI −34.10%, −10.99%] reduction, p = 0.002). Reductions in all-cause medical mortality and neoplasm mortality rates were similarly observed in other cities.

Conclusion: Significant reductions in urban mortality rates were associated with Medicaid expansion. Our study suggests that Medicaid expansion saved lives in the observed urban settings.

Dynamics of Covid-19 mortality and social determinants of health: a spatiotemporal analysis of exceedance probabilities

PURPOSE

To determine the association of social factors with Covid-19 mortality and identify high-risk clusters.

METHODS

Data on Covid-19 deaths across 3,108 contiguous U.S. counties from the Johns Hopkins University and social determinants of health (SDoH) data from the County Health Ranking and the Bureau of Labor Statistics were fitted to Bayesian semi-parametric spatiotemporal Negative Binomial models, and 95% credible intervals (CrI) of incidence rate ratios (IRR) were used to assess the associations. Exceedance probabilities were used for detecting clusters.

RESULTS

As of October 31, 2020, the median mortality rate was 40.05 per 100, 000. The monthly urban mortality rates increased with unemployment (IRRadjusted:1.41, 95% CrI: 1.24, 1.60), percent Black population (IRRadjusted:1.05, 95% CrI: 1.04, 1.07), and residential segregation (IRRadjusted:1.03, 95% CrI: 1.02, 1.04). The rural monthly mortality rates increased with percent female population (IRRadjusted: 1.17, 95% CrI: 1.11, 1.24) and percent Black population (IRRadjusted:1.07 95% CrI:1.06, 1.08). Higher college education rates were associated with decreased mortality rates in rural and urban counties. The dynamics of exceedance probabilities detected the shifts of high-risk clusters from the Northeast to Southern and Midwestern counties.

CONCLUSIONS

Spatiotemporal analyses enabled the inclusion of unobserved latent risk factors and aid in scientifically grounded decision-making at a granular level.

Community empowerment for health promotion in slums areas: A narrative review with emphasis on challenges and interventions

Community empowerment has been proposed since the 1980s as a way to increase people's power to influence social determinants of health. However, community empowerment for health promotion in urban slums still faces challenges. The present study examined interventions, challenges, actors, scopes, and the consequences mentioned in various studies and with emphasizing interventions and executive challenges tried to create a clear understanding of empowerment programs in slums and improving their health. Narrative review method was used to conduct the study. Databases including PubMed, Scopus, Embase, Web of Science, and Cochrane were searched. The selection of studies was done according to the "community empowerment" defined by the World Health Organization, the concept of bottom-up approach for health promotion of Laverack and Labonte's study and definition of slums by UN-HABITAT. Finally, Hare and Noblit's meta-synthesis was used to analyze the studies. From 15 selected studies, the most intervention proposed for empowerment was identified to be "residents' participation in expressing problems and solutions." The challenge of "creating a sense of trust and changing some attitudes among residents" was the greatest challenge in the studies. Moreover, "improving living conditions and health services" were the most important outcomes, "slum residents" and "governments" were the most important actors, and "sanitation" was the most important scope among the studies. Having a comprehensive view to the health and its determinants and attention to the factors beyond neighborhood and health sector would lead to fewer implementation challenges and better intervention choices to health promotion of slum dwellers.

The Most Important Social Determinants of Slum Dwellers' Health: A Scoping Review

OBJECTIVES

Given the importance of social determinants of health in promoting the health of slum residents, this study was conducted with the aim of identifying the main dimensions and components of these determinants.

METHODS

This scoping review study was conducted according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). A comprehensive search was performed of PubMed, ProQuest, Scopus, and Web of Science for articles conducted from 2010 to the end of 2019. Studies were selected based on inclusion criteria, with a special focus on studies dealing with the social determinants of physical and mental health or illness.

RESULTS

Thirty-three articles were selected to extract information on the social determinants of health. After reviewing the articles, 7 main dimensions (housing, socioeconomic status of the family, nutrition, neighborhood characteristics, social support and social capital, occupational factors, and health behaviors) and 87 components were extracted as social determinants of health among slum dwellers.

CONCLUSIONS

This framework could be used by planners, managers, and policy-makers when making decisions affecting the health of these settlements' residents due to the common characteristics of slums around the world, especially in developing countries.

An Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response, and Management: Design and Development Study

Background

COVID-19 is impacting people worldwide and is currently a leading cause of death in many countries. Underlying factors, including Social Determinants of Health (SDoH), could contribute to these statistics. Our prior work has explored associations between SDoH and several adverse health outcomes (eg, asthma and obesity). Our findings reinforce the emerging consensus that SDoH factors should be considered when implementing intelligent public health surveillance solutions to inform public health policies and interventions.

Objective

This study sought to redefine the Healthy People 2030’s SDoH taxonomy to accommodate the COVID-19 pandemic. Furthermore, we aim to provide a blueprint and implement a prototype for the Urban Population Health Observatory (UPHO), a web-based platform that integrates classified group-level SDoH indicators to individual- and aggregate-level population health data.

Methods

The process of building the UPHO involves collecting and integrating data from several sources, classifying the collected data into drivers and outcomes, incorporating data science techniques for calculating measurable indicators from the raw variables, and studying the extent to which interventions are identified or developed to mitigate drivers that lead to the undesired outcomes.

Results

We generated and classified the indicators of social determinants of health, which are linked to COVID-19. To display the functionalities of the UPHO platform, we presented a prototype design to demonstrate its features. We provided a use case scenario for 4 different users.

Conclusions

UPHO serves as an apparatus for implementing effective interventions and can be adopted as a global platform for chronic and infectious diseases. The UPHO surveillance platform provides a novel approach and novel insights into immediate and long-term health policy responses to the COVID-19 pandemic and other future public health crises. The UPHO assists public health organizations and policymakers in their efforts in reducing health disparities, achieving health equity, and improving urban population health.

Linking criminal justice-involved individuals to HIV, Hepatitis C, and opioid use disorder prevention and treatment services upon release to the community: Progress, gaps, and future directions

Improving HIV and Hepatitis C Virus (HCV) management among people involved in the criminal justice (CJ) system who use drugs, in particular those with opioid use disorder (OUD), requires effective approaches to screening, linkage, and adherence to integrated prevention and treatment services across correctional and community agencies and providers. This manuscript reviews the literature to explore gaps in HIV, Hepatitis C, and OUD prevention, treatment, and delivery cascades of care for persons involved in the CJ system. Specifically, we compare two models of linkage to prevention and treatment services: Peer/Patient Navigation (PN) wherein the PN links CJ-involved individuals to community-based infectious disease (ID) and substance use prevention and treatment services, and Mobile Health Units (MHU) wherein individuals are linked to a MHU within their community that provides integrated ID and substance use prevention and treatment services. The most notable finding is a gap in the literature, with few to no comparisons of models linking individuals recently released from the CJ system to integrated HIV, Hepatitis C, and OUD prevention and treatment and other harm reduction services. Further, few published studies address the geographical distinctions that affect service implementation and their effects on these substance use, ID and harm reduction care cascades. This manuscript makes specific recommendations to fill this gap through a detailed evaluation of PN and MHU linkage models to co-located and integrated HIV, Hepatitis C, and OUD prevention and treatment services across different communities within the U.S.

The Association of Social Determinants of Health With COVID-19 Mortality in Rural and Urban Counties

PURPOSE

To identify the county-level effects of social determinants of health (SDoH) on COVID-19 (corona virus disease 2019) mortality rates by rural-urban residence and estimate county-level exceedance probabilities for detecting clusters.

METHODS

The county-level data on COVID-19 death counts as of October 23, 2020, were obtained from the Johns Hopkins University. SDoH data were collected from the County Health Ranking and Roadmaps, the US Department of Agriculture, and the Bureau of Labor Statistics. Semiparametric negative binomial regressions with expected counts based on standardized mortality rates as offset variables were fitted using integrated Laplace approximation. Bayesian significance was assessed by 95% credible intervals (CrI) of risk ratios (RR). County-level mortality hotspots were identified by exceedance probabilities.

FINDINGS

The COVID-19 mortality rates per 100,000 were 65.43 for the urban and 50.78 for the rural counties. Percent of Blacks, HIV, and diabetes rates were significantly associated with higher mortality in rural and urban counties, whereas the unemployment rate (adjusted RR = 1.479, CrI = 1.171, 1.867) and residential segregation (adjusted RR = 1.034, CrI = 1.019, 1.050) were associated with increased mortality in urban counties. Counties with a higher percentage of college or associate degrees had lower COVID-19 mortality rates.

CONCLUSIONS

SDoH plays an important role in explaining differential COVID-19 mortality rates and should be considered for resource allocations and policy decisions on operational needs for businesses and schools at county levels.

Examining the Interfacility Variation of Social Determinants of Health in the Veterans Health Administration

Introduction

Recently, numerous studies have linked social determinants of health (SDoH) with clinical outcomes. While this association is well known, the interfacility variability of these risk favors within the Veterans Health Administration (VHA) is not known. Such information could be useful to the VHA for resource and funding allocation. The aim of this study is to explore the interfacility variability of 5 SDoH within the VHA.

Methods

In a cohort of patients (aged ≥ 65 years) hospitalized at VHA acute care facilities with either acute myocardial infarction (AMI), heart failure (HF), or pneumonia in 2012, we assessed (1) the proportion of patients with any of the following five documented SDoH: lives alone, marginal housing, alcohol use disorder, substance use disorder, and use of substance use services, using administrative diagnosis codes and clinic stop codes; and (2) the documented facility-level variability of these SDoH. To examine whether variability was due to regional coding differences, we assessed the variation of living alone using a validated natural language processing (NLP) algorithm.

Results

The proportion of veterans admitted for AMI, HF, and pneumonia with SDoH was low. Across all 3 conditions, lives alone was the most common SDoH (2.2% [interquartile range (IQR), 0.7-4.7]), followed by substance use disorder (1.3% [IQR, 0.5-2.1]), and use of substance use services (1.2% [IQR, 0.6-1.8]). Using NLP, the proportion of hospitalized veterans with lives alone was higher for HF (14.4% vs 2.0%, P < .01), pneumonia (11% vs 1.9%, P < .01), and AMI (10.2% vs 1.4%, P < .01) compared with International Classification of Diseases, Ninth Edition codes. Interfacility variability was noted with both administrative and NLP extraction methods.

Conclusions

The presence of SDoH in administrative data among patients hospitalized for common medical issues is low and variable across VHA facilities. Significant facility-level variation of 5 SDoH was present regardless of extraction method.

The burden and predisposing factors of non-communicable diseases in Mashhad University of Medical Sciences personnel: a prospective 15-year organizational cohort study protocol and baseline assessment

Background

The rising burden of premature mortality for Non-Communicable Diseases (NCDs) in developing countries necessitates the institutionalization of a comprehensive surveillance framework to track trends and provide evidence to design, implement, and evaluate preventive strategies. This study aims to conduct an organization-based prospective cohort study on the NCDs and NCD-related secondary outcomes in adult personnel of the Mashhad University of Medical Sciences (MUMS) as main target population.

Methods

This study was designed to recruit 12,000 adults aged between 30 and 70 years for 15 years. Baseline assessment includes a wide range of established NCD risk factors obtaining by face-to-face interview or examination. The questionnaires consist of demographic and socioeconomic characteristics, lifestyle pattern, fuel consumption and pesticide exposures, occupational history and hazards, personal and familial medical history, medication profile, oral hygiene, reproduction history, dietary intake, and psychological conditions. Examinations include body size and composition test, abdominopelvic and thyroid ultrasonography, orthopedic evaluation, pulse wave velocity test, electrocardiography, blood pressure measurement, smell-taste evaluation, spirometry, mammography, and preferred tea temperature assessment. Routine biochemical, cell count, and fecal occult blood tests are also performed, and the biological samples (i.e., blood, urine, hair, and nail) are stored in preserving temperature. Annual telephone interviews and repeated examinations at 5-year intervals are planned to update information on health status and its determinants.

Results

A total of 5287 individuals (mean age of 43.9 ± 7.6 and 45.9% male) were included in the study thus far. About 18.5% were nurses and midwives and 44.2% had at least bachelor’s degree. Fatty liver (15.4%), thyroid disorders (11.2%), hypertension (8.8%), and diabetes (4.9%) were the most prevalent NCDs. A large proportion of the population had some degree of anxiety (64.2%). Low physical activity (13 ± 22.4 min per day), high calorie intake (3079 ± 1252), and poor pulse-wave velocity (7.2 ± 1.6 m/s) highlight the need for strategies to improve lifestyle behaviors.

Conclusion

The PERSIAN Organizational Cohort study in Mashhad University of Medical Sciences is the first organizational cohort study in a metropolitan city of Iran aiming to provide a large data repository on the prevalence and risk factors of the NCDs in a developing country for future national and international research cooperation.

Individual-level factors attributable to urban-rural disparity in mortality among older adults in China

BACKGROUND

Urban-rural disparity in mortality at older ages is well documented in China. However, surprisingly few studies have systemically investigated factors that contribute to such disparity. This study examined the extent to which individual-level socioeconomic conditions, family/social support, health behaviors, and baseline health status contributed to the urban-rural difference in mortality among older adults in China.

METHODS

This research used the five waves of the Chinese Longitudinal Healthy Longevity Survey from 2002 to 2014, a nationally representative sample of older adults aged 65 years or older in China (n = 28,235). A series of hazard regression models by gender and age group examined the association between urban-rural residence and mortality and how this association was modified by a wide range of individual-level factors.

RESULTS

Older adults in urban areas had 11% (relative hazard ratio (HR) = 0.89, p < 0.01) lower risks of mortality than their rural counterparts when only demographic factors were taken into account. Further adjustments for family/social support, health behaviors, and health-related factors individually or jointly had a limited influence on the mortality differential between urban and rural older adults (HRs = 0.89-0.92, p < 0.05 to p < 0.01). However, we found no urban-rural difference in mortality (HR = 0.97, p > 0.10) after adjusting for individual socioeconomic factors. Similar results were found in women and men, and among the young-old and the oldest-old populations.

CONCLUSIONS

The urban-rural disparity in mortality among older adults in China was largely attributable to differences in individual socioeconomic resources (i.e., education, income, and access to healthcare) regardless of gender and age group.

Determinants of Subjective Health, Happiness, and Life Satisfaction among Young Adults (18-24 Years) in Guyana

Abstract. Persistent urban-rural disparity in subjective health and quality of life is a growing concern for healthcare systems across the world. In general, urban population performs better on most health indicators compared with their rural counterparts. However, research evidence on the urban-rural disparity on perceived health, happiness, and quality of life among the young adult population is scarce in South American countries like Guyana. Therefore, in the present study we aimed to investigate whether subjective health, happiness, and quality of life differ according to place of residence among the young adult population in Guyana.

Does "Rural" Always Mean the Same? Macrosocial Determinants of Rural Populations' Health in Poland

Rural areas, as well as urban ones, are not homogeneous in terms of social and economic conditions. Those surrounding large urban centers (suburban rural areas) act different roles than those located in remote areas. This study aims to measure the level of inequalities in social determinants of health (SDH) between two categories of rural areas. We pose the following research hypotheses: (hypothesis H1) rural areas in Poland are relatively homogenous in the context of SDH and (hypothesis H2) SDH affects life expectancies of rural residents. Based on data covering all rural territories, we found that rural areas in Poland are homogenous in SDH. We also find important determinants of health rooted in a demographic structure—the feminization index and a ratio of the working-age population. On the other hand, we cannot confirm the influence of commonly used SDH-GDP and unemployment rate.

Examining the contributions of a community coalition in addressing urban health determinants

Community coalitions facilitate changes in community outcomes and conditions by addressing issues and determinants of health and well-being. The purpose of the present study was to examine the process of a community coalition, the Ivanhoe Neighborhood Council (INC), in addressing community-prioritized urban health determinants aimed at improving living conditions in a neighborhood in Kansas City, Missouri. Using an empirical case study design, the implementation of the community change framework supported through the Kauffman Neighborhood Initiative is examined. The results suggest that the INC was effective in implementing 117 community changes, and these changes were associated with modest improvements in targeted outcomes related to housing and crime. A 10 year follow-up probe indicates that the majority of recurring community changes were sustained. The results indicate that the comprehensive community initiative was important in facilitating community change that may have contributed to improvements in addressing urban health determinants.

Urban Regeneration Process: The Case of a Residential Complex in a Suburb of Rome, Italy

With the aim of promoting biological, social and psychological well-being, a multi-institutional and multidisciplinary action-research process was developed for the regeneration of a large residential complex in Rome, Italy. A methodology with a community-based approach was adopted in a context where spatial segregation is intertwined with health and social inequalities. Methods: Through qualitative-quantitative analysis involving the active participation of the local population and institutions in every stage, an integrated survey model was developed in order to create proper communication between the needs of the population and sustainable solutions. Results: the implemented process allowed for clear planning of actions and interventions that could be economically sustainable through the structuring and development of a local network. Conclusions: the process involving the participation of the population in the analysis of their own problems and difficulties, as well as in the development of possible interventions and actions to be proposed, appears to be the only adequate approach that allows for the definition of mutual objectives based on the real needs of the end users.

Population Health Inequalities Across and Within European Metropolitan Areas through the Lens of the EURO-HEALTHY Population Health Index

The different geographical contexts seen in European metropolitan areas are reflected in the uneven distribution of health risk factors for the population. Accumulating evidence on multiple health determinants point to the importance of individual, social, economic, physical and built environment features, which can be shaped by the local authorities. The complexity of measuring health, which at the same time underscores the level of intra-urban inequalities, calls for integrated and multidimensional approaches. The aim of this study is to analyse inequalities in health determinants and health outcomes across and within nine metropolitan areas: Athens, Barcelona, Berlin-Brandenburg, Brussels, Lisbon, London, Prague, Stockholm and Turin. We use the EURO-HEALTHY Population Health Index (PHI), a tool that measures health in two components: Health Determinants and Health Outcomes. The application of this tool revealed important inequalities between metropolitan areas: Better scores were found in Northern cities when compared with their Southern and Eastern counterparts in both components. The analysis of geographical patterns within metropolitan areas showed that there are intra-urban inequalities, and, in most cities, they appear to form spatial clusters. Identifying which urban areas are measurably worse off, in either Health Determinants or Health Outcomes, or both, provides a basis for redirecting local action and for ongoing comparisons with other metropolitan areas.

Identifying the health problems of slum residents using social determinants of health: Kerman, Iran

INTRODUCTION

Although slum emerged in industrialized countries, today, all cities in the world are somehow facing this phenomenon. Slums create many problems in different areas, especially health for residents. Therefore, this research was conducted with the aim of identifying the health problems of the slum residents of Kerman city by using the social determinant of health approach.

METHOD

The present study is an applied study that was carried out qualitatively using semistructured interviews. Samples were selected using purposeful and snowball sampling methods. Data were analyzed using the Colaizy method.

RESULTS

In this study, the health problems of residents of slums in the city of Kerman were identified by interviews. In total, seven main themes and 32 sub-themes were extracted. The main concepts extracted include the economic and social class, the early childhood development, social exclusion and social support, employment and unemployment, addiction, food, transport, and traffic.

CONCLUSION

The problems of slums people are very widespread, and almost all of the problems affect the health of slums people. The place of living, job, income, the early childhood development and nutritional status are determinants that affect people's health.

Padrão espacial e diferencial de renda dos domicílios de adolescentes e adultos jovens vítimas de traumatismo maxilofacial por agressão com arma de fogo

Resumo O estudo investigou o padrão espacial dos casos de traumatismo maxilofacial decorrentes de agressão com arma de fogo em adolescentes e adultos jovens a partir do local de domicílio das vítimas e analisou comparativamente os diferenciais de renda dessas áreas. Estudo transversal com dados de vítimas atendidas em três hospitais de Belo Horizonte-MG, entre janeiro de 2008 e dezembro de 2010. Endereços foram georeferenciados por geocodificação. Tendências de aleatoriedade e densidade de pontos foram analisadas por Função K de Ripley e mapas de Kernel. A interação espacial entre os domicílios de adolescentes e adultos jovens foi verificada através da Função K12. Encontrouse registros de 218 casos de agressão com arma de fogo, com predomínio do sexo masculino (89,9%) e adultos jovens (70,6%). Os domicílios se distribuíram de forma agregada no espaço urbano com nível de confiança de 99% e níveis de agregação espacial semelhantes. Os clusters de domicílios convergiram para 7 favelas ou regiões vizinhas com população de maior renda revelando propagação de eventos. Os hotspots se concentraram em favelas com histórico de crimes ligados ao narcotráfico. A incorporação do espaço na dinâmica dos eventos mostrou que a condição econômica isoladamente não limitou a vitimização.

Peri-Urban, but Not Urban, Residence in Bolivia Is Associated with Higher Odds of Co-Occurrence of Overweight and Anemia among Young Children, and of Households with an Overweight Woman and Stunted Child

Background

Urban populations have grown globally alongside emerging simultaneous burdens of undernutrition and obesity. Yet, how heterogeneous urban environments are associated with this nutritional double burden is poorly understood.

Objective

We aimed to determine: 1) the prevalence of the nutritional double burden and its components in urban, peri-urban, and rural areas of Bolivia; and 2) the association of residence in these areas with the nutritional double burden and its components.

Design

We surveyed 3946 randomly selected households from 2 metropolitan regions of Bolivia. Census data and remotely sensed imagery were used to define urban, peri-urban, and rural districts along a transect in each region. We defined 5 nutritional double burdens: concurrent overweight and anemia among women of reproductive age (15-49 y), and children (6-59 mo), respectively; concurrent overweight and stunting among children; and households with an overweight woman and, respectively, an anemic or stunted child. Capillary hemoglobin concentrations were measured to assess anemia (women: hemoglobin <120 g/L; children: hemoglobin <110 g/L), and overweight and stunting were calculated from height, weight, and age data.

Results

In multiple logistic regression models, peri-urban, but not urban residence, was associated with higher odds of concurrent overweight and anemia among children (OR: 1.8; 95% CI; 1.0, 3.2) and of households with an overweight woman and stunted child (1.8; 1.2, 2.7). Examining the components of the double burden, peri-urban women and children, respectively, had higher odds of overweight than rural residents [women (1.5; 1.2, 1.8); children (1.5; 1.0, 2.4)], and children from peri-urban regions had higher odds of stunting (1.5; 1.1, 2.2).

Conclusions

Peri-urban, but not urban, residence in Bolivia is associated with a higher risk of the nutritional double burden than rural areas. Understanding how heterogeneous urban environments influence nutrition outcomes could inform integrated policies that simultaneously address both undernutrition and obesity.

Exploring urban health in Cape Town, South Africa: an interdisciplinary analysis of secondary data

BACKGROUND

With modern information technology, an overwhelming amount of data is available on different aspects of societies. Our research investigated the feasibility of using secondary data sources to get an overview of determinants of health and health outcomes in different population strata of Cape Town, a large city of South Africa.

METHODS

The methodological approach of secondary-data analysis was similar in the different disciplines: Biological Anthropology, Public Health, Environmental Health, Mental Health, Palliative Care, Medical Psychology and Sociology at the University of Freiburg and Public Health at the University of Cape Town. The teams collected information on Cape Town through Internet searches and published articles. The information was extracted, analyzed, condensed, and jointly interpreted.

RESULTS

Data show the typical picture of a population in epidemiological and demographic transition exposed to often difficult social, mental, and physical environmental conditions. Comparison between low and higher socioeconomic districts demonstrated that the former had higher air pollution, poorer water quality, and deficient sanitary conditions in addition to sub-optimal mental health services and palliative care.

CONCLUSION

Although important information gaps were identified, the data draw attention to critical public health interventions required in poor health districts, and to motivate for pro-equity policies.

Public Health Risks in Urban Slums: Findings of the Qualitative 'Healthy Kitchens Healthy Cities' Study in Kathmandu, Nepal

BACKGROUND

Communities in urban slums face multiple risks to their health. These are shaped by intermediary and structural determinants. Gaining a clear understanding of these determinants is a prerequisite for developing interventions to reduce the health consequences of urban poverty. With 828 million people living in slum conditions, the need to find ways to reduce risks to health has never been greater. In many low income settings, the kitchen is the epicentre of activities and behaviours which either undermine or enhance health.

METHODS

We used qualitative methods of semi-structured interviews, observation and participatory workshops in two slum areas in Kathmandu, Nepal to gain women's perspectives on the health risks they faced in and around their kitchens. Twenty one women were interviewed and four participatory workshops with a total of 69 women were held. The women took photographs of their kitchens to trigger discussions.

FINDINGS

The main health conditions identified by the women were respiratory disease, gastrointestinal disease and burn injuries. Women clearly understood intermediary (psychosocial, material and behavioural) determinants to these health conditions such as poor ventilation, cooking on open fires, over-crowding, lack of adequate child supervision. Women articulated the stress they experienced and clearly linked this to health conditions such as heart disease and uptake of smoking. They were also able to identify protective factors, particularly social capital. Subsequent analysis highlighted how female headed-households and those with disabilities had to contend with greater risks to health.

CONCLUSIONS

Women living in slums are very aware of the intermediary determinants-material, behavioural and psycho-social, that increase their vulnerability to ill health. They are also able to identify protective factors, particularly social capital. It is only by understanding the determinants at all levels, not just the behavioural, that we will be able to identify appropriate interventions.

Urban upgrading and its impact on health: a "quasi-experimental" mixed-methods study protocol for the BH-Viva Project

There is little scientific evidence that urban upgrading helps improve health or reduce inequities. This article presents the design for the BH-Viva Project, a "quasi-experimental", multiphase, mixed-methods study with quantitative and qualitative components, proposing an analytical model for monitoring the effects that interventions in the urban environment can have on residents' health in slums in Belo Horizonte, Minas Gerais State, Brazil. A preliminary analysis revealed intra-urban differences in age-specific mortality when comparing areas with and without interventions; the mortality rate from 2002 to 2012 was stable in the "formal city", increased in slums without interventions, and decreased in slums with interventions. BH-Viva represents an effort at advancing methodological issues, providing learning and theoretical backing for urban health research and research methods, allowing their application and extension to other urban contexts.

Disaggregating health inequalities within Rio de Janeiro, Brazil, 2002-2010, by applying an urban health inequality index

An urban health index (UHI) was used to quantify health inequalities within Rio de Janeiro, Brazil, for the years 2002-2010. Eight main health indicators were generated at the ward level using mortality data. The indicators were combined to form the index. The distribution of the rank ordered UHI-values provides information on inequality among wards, using the ratio of the extremes and the gradient of the middle values. Over the decade the ratio of extremes in 2010 declined relative to 2002 (1.57 vs. 1.32) as did the slope of the middle values (0.23 vs. 0.16). A spatial division between the affluent south and the deprived north and east is still visible. The UHI correlated on an ecological ward-level with socioeconomic and urban environment indicators like square meter price of apartments (0.54, p < 0.01), low education of mother (-0.61, p < 0.01), low income (-0.62, p < 0.01) and proportion of black ethnicity (-0.55, p < 0.01). The results suggest that population health and equity have improved in Rio de Janeiro in the last decade though some familiar patterns of spatial inequality remain.

Urbanicity Gradients Are Associated with the Household- and Individual-Level Double Burden of Malnutrition in Sub-Saharan Africa

BACKGROUND

The nutrition transition is advancing throughout sub-Saharan Africa (SSA). However, the nutritional risk across urbanicity gradients associated with this transition is not clear.

OBJECTIVES

We aimed to determine 1) the extent to which overweight and anemia in women of childbearing age (WCBA) and stunting in preschool-age children (PSC) are spatially correlated within countries of SSA; and 2) the association of urbanicity with the individual-level nutritional double burden (i.e., concurrent overweight and anemia within an individual WCBA), the household-level double burden (i.e., overweight WCBA and stunted PSC in the same household), and the 3 components of these double burdens (i.e., overweight, anemia, and stunting).

METHODS

We used Demographic and Health Surveys (DHS) data for 30 countries in SSA from 2006-2012. We calculated overweight [body mass index (BMI; in kg/m(2)) ≥25] and anemia (hemoglobin concentration <120 g/L) in WCBA, and stunting in PSC aged 12-59 mo (height-for-age z score <-2). We used population density, measured using a high-resolution population distribution dataset, to define gradients of urbanicity. We used geolocated DHS data to calculate cluster-level mean population densities and the Moran's I statistic to assess spatial autocorrelation.

RESULTS

Cluster-level BMI values and hemoglobin concentrations for WCBA were spatially correlated. The odds of overweight in WCBA were higher in periurban and urban areas than in rural areas (periurban, OR: 1.08; 95% CI: 1.01, 1.16; urban, OR: 1.26; 95% CI: 1.18, 1.36), as were the odds of stunting in PSC in periurban areas (OR: 1.13; 95% CI: 1.06, 1.22). The odds of both double burden conditions were higher in periurban and urban areas than in rural areas (individual-level-periurban, OR: 1.18; 95% CI: 1.05, 1.33; urban, OR: 1.43; 95% CI: 1.27, 1.61; household-level-periurban, OR: 1.24; 95% CI: 1.06, 1.44; urban, OR: 1.24; 95% CI: 1.06, 1.46).

CONCLUSION

Urban and periurban areas in SSA may be particularly vulnerable to the nutritional double burden compared with rural areas. Clearly differentiating urban environments is important for assessing changing patterns of nutritional risk associated with the nutrition transition in SSA.

Urban Planning and Health Inequities: Looking in a Small-Scale in a City of Cape Verde

BACKGROUND

The lack of high-quality data to support evidence-based policies continues to be a concern in African cities, which present marked social, economic and cultural disparities that may differently impact the health of the groups living in different urban contexts. This study explores three urban units--formal, transition and informal--of the capital of Cape Verde, in terms of overweight/obesity, cardiometabolic risk, physical activity and other aspects related to the urban environment.

METHODS

Quantitative and qualitative research methods were used in this intra-urban study. A proportional stratified random sample (n = 1912 adults), based on geographical coordinates of private households, was selected to apply the UPHI-STAT questionnaire. In a second stage (n = 599), local nutritionists collected anthropometric measurements (e.g., height, waist circumference) and body composition by bioelectric impedance (e.g., body weight, body fat, muscle mass). In a third stage, pedometers were used to count study participants' steps on working and non-working days for one week (n = 118). After a preliminary statistical analysis, a qualitative study was developed to complement the quantitative approach. Generalized linear models, among others, were used in the multivariate analysis.

RESULTS

Insecurity was the main concern among survey respondents in the three units, notwithstanding with significant differences (p < 0.001) among units. About three-quarters (76.6%) of the participants of the informal unit emphasised the need for more security. The formal unit presents an older age structure (61.3% above 40 years old) and the transition unit a younger age structure (only 30.5% above 40 years old). Some health-related variables were analysed in each unit, revealing an excess of chronic conditions reported by inhabitants of informal unit, compared with the formal unit despite the informal unit's younger age profile. The self-reported hypertension varied significantly among urban units (p < 0.001), with 19.3% in the formal unit, 11.4% in the transition unit and 22.5% in the informal unit. Women of the urban units present significant differences (5% level) for body mass index calculated from self-reported measures (p < 0.001), fat mass (p = 0.005), waist circumference (p = 0.046) and waist-to-height ratio (p = 0.017). For women, overall physical activity was 67.4% (95%CI [64.8,70.0]), with differences among urban units (p = 0.025). For men it was of 85.2% (95%CI [82.3,87.6]), without significant differences among urban units (p = 0.266). The percentage of women and men who reported physical activity in leisure time was discrepant, with 95%CI [22.6, 27.4] and [53.2, 60.2], respectively. The results of pedometers also indicated that men walk significantly more than women (p < 0.001), with a difference of approximately 2000 steps/day.

CONCLUSIONS

The data collection process itself also gave us some clues on the involvement of local communities, exploring the potential of social capital of these settings and the role of the woman in family and society in Cape Verde. The higher participation of women and residents of informal unit (the most disadvantaged groups) suggests these as the priority target groups for health promotion campaigns. The link between health planning, urban planning and security of the city needs to be reinforced to minimize health, social and gender inequalities.

Childhood central nervous system tumour mortality and survival in Southern and Eastern Europe (1983-2014): Gaps persist across 14 cancer registries

AIM

Childhood central nervous system (CNS) tumour registration and control programs in Southern and Eastern Europe remain thin, despite the lethal nature of the disease. Mortality/survival data were assembled to estimate the burden of malignant CNS tumours, as well as the potential role of sociodemographic survival determinants across 14 cancer registries of this region.

METHODS

Average age-adjusted mortality rates were calculated, whereas time trends were quantified through Poisson and Joinpoint regressions. Kaplan-Meier curves were derived for the maximum and the more recent (10 and 5 year) registration periods. Multivariate Cox regression models were used to assess demographic and disease-related determinants.

RESULTS

Variations in mortality (8-16 per million) and survival (5-year: 35-69%) were substantial among the participating registries; in most registries mortality trend was stable, whereas Bulgaria, having the highest starting rate, experienced decreasing annual mortality (-2.4%, p=0.001). A steep decrease in survival rates was evident before the second year of follow-up. After controlling for diagnostic subgroup, age, gender and diagnostic year, Greece seemed to present higher survival compared with the other contributing registries, although the follow-up period was short. Irrespective of country, however, rural residence was found to impose substantial adverse repercussions on survival (hazard ratio (HR): 1.2, 95% confidence interval (CI): 1.1-1.4).

CONCLUSION

Cross-country mortality and survival variations possibly reflect suboptimal levels of health care delivery and cancer control in some regions of Southern and Eastern Europe, notwithstanding questionable death certification patterns or follow-up procedures. Continuous childhood cancer registration and linkage with clinical data are prerequisite for the reduction of survival inequalities across Europe.

Maxillofacial Injuries as Markers of Interpersonal Violence in Belo Horizonte-Brazil: Analysis of the Socio-Spatial Vulnerability of the Location of Victim's Residences

The aim of the present study was to analyze the spatial pattern of cases of maxillofacial injuries caused by interpersonal violence, based on the location of the victim's residence, and to investigate the existence of conditions of socio-spatial vulnerability in these areas. This is a cross-sectional study, using the data of victims attended in three emergency hospitals in Belo Horizonte-Brazil between January 2008 and December 2010. Based on the process of spatial signature, the socio-spatial condition of the victims was identified according to data from census tracts. The spatial distribution trends of the addresses of victims were analyzed using Kernel maps and Ripley's K function. Multicriteria analysis was used to analyze the territorial insertion of victims, using a combination of variables to obtain the degree of socio-spatial vulnerability. The residences of the victims were distributed in an aggregated manner in urban areas, with a confidence level of 99%. The highest densities were found in areas of unfavorable socioeconomic conditions and, to a lesser extent, areas with worse residential and neighborhood infrastructure. Spatial clusters of households formed in slums with a significant level of socio-spatial vulnerability. Explanations of the living conditions in segregated urban areas and analysis of the concentration of more vulnerable populations should be a priority in the development of public health and safety policies.

Parenting Efficacy and Health-promoting Behaviors for Children of Mothers from Native and Multicultural Families in Korea

PURPOSE

The aim of this study was to examine the levels of parenting efficacy and health-promoting behaviors for children of mothers, and to explore the relationships between parenting efficacy and the behaviors of mothers from native and multicultural families in South Korea.

METHODS

Data was collected by a self-report questionnaire completed by 258 mothers who had 6-month to 36-month-old children attending kindergartens or multicultural family support centers located in Seoul and in Gyeounggi Province, South Korea.

RESULTS

No significant difference in parenting efficacy was found, depending on the maternal country of origin. However, Chinese mothers performed health-promoting behaviors more frequently for their children than Korean and Vietnamese mothers did (F = 6.87, p < .001). The significant positive correlations between parenting efficacy and maternal health-promoting behaviors for children were found, regardless of maternal country of origin (r = .57, p < .001 for Korean, r = .42, p < .001 for Chinese, and r= .40, p < .001 for Vietnamese mothers).

CONCLUSIONS

Since maternal health-promoting behaviors were different depending on the native country of the mothers, maternal country of origin should be considered in designing programs for improving maternal health-promoting behaviors for their children. In addition, increasing the level of parenting efficacy can be an effective way for improvement of maternal health-promoting behaviors.

Socioeconomic inequalities in cause-specific mortality in 15 European cities

BACKGROUND

Socioeconomic inequalities are increasingly recognised as an important public health issue, although their role in the leading causes of mortality in urban areas in Europe has not been fully evaluated. In this study, we used data from the INEQ-CITIES study to analyse inequalities in cause-specific mortality in 15 European cities at the beginning of the 21st century.

METHODS

A cross-sectional ecological study was carried out to analyse 9 of the leading specific causes of death in small areas from 15 European cities. Using a hierarchical Bayesian spatial model, we estimated smoothed Standardized Mortality Ratios, relative risks and 95% credible intervals for cause-specific mortality in relation to a socioeconomic deprivation index, separately for men and women.

RESULTS

We detected spatial socioeconomic inequalities for most causes of mortality studied, although these inequalities differed markedly between cities, being more pronounced in Northern and Central-Eastern Europe. In the majority of cities, most of these causes of death were positively associated with deprivation among men, with the exception of prostatic cancer. Among women, diabetes, ischaemic heart disease, chronic liver diseases and respiratory diseases were also positively associated with deprivation in most cities. Lung cancer mortality was positively associated with deprivation in Northern European cities and in Kosice, but this association was non-existent or even negative in Southern European cities. Finally, breast cancer risk was inversely associated with deprivation in three Southern European cities.

CONCLUSIONS

The results confirm the existence of socioeconomic inequalities in many of the main causes of mortality, and reveal variations in their magnitude between different European cities.

Adverse life events and delinquent behavior among Kenyan adolescents: a cross-sectional study on the protective role of parental monitoring, religiosity, and self-esteem

BACKGROUND

Past research provides strong evidence that adverse life events heighten the risk of delinquent behavior among adolescents. Urban informal (slum) settlements in sub-Saharan Africa are marked by extreme adversity. However, the prevalence and consequences of adverse life events as well as protective factors that can mitigate the effects of exposure to these events in slum settlements is largely understudied. We examine two research questions. First, are adverse life events experienced at the individual and household level associated with a higher likelihood of delinquent behavior among adolescents living in two slums in Nairobi, Kenya? Second, are parental monitoring, religiosity, and self-esteem protective against delinquency in a context of high adversity?

METHODS

We used cross-sectional data from 3,064 males and females aged 12-19 years who participated in the Transitions to Adulthood Study. We examined the extent to which a composite index of adverse life events was associated with delinquent behavior (measured using a composite index derived from nine items). We also examined the direct and moderating effects of three protective factors: parental monitoring, religiosity, and self-esteem.

RESULTS

Fifty-four percent of adolescents reported at least one adverse life event, while 18% reported three or more adverse events. For both males and females, adversity was positively and significantly associated with delinquency in bivariate and multivariate models. Negative associations were observed between the protective factors and delinquency. Significant adverse events × protective factor interaction terms were observed for parental monitoring (females and males), religiosity (males), and self-esteem (females).

CONCLUSIONS

Similar to research in high income countries, adverse life events are associated with an increased likelihood of delinquent behavior among adolescents living in urban slums in Kenya, a low-income country. However, parental monitoring, religiosity, and self-esteem may moderate the effect of adversity on delinquent behavior and pinpoint possible avenues to develop interventions to reduce delinquency in resource-poor settings in low and middle income countries.

Urban slum structure: integrating socioeconomic and land cover data to model slum evolution in Salvador, Brazil

BACKGROUND

The expansion of urban slums is a key challenge for public and social policy in the 21st century. The heterogeneous and dynamic nature of slum communities limits the use of rigid slum definitions. A systematic and flexible approach to characterize, delineate and model urban slum structure at an operational resolution is essential to plan, deploy, and monitor interventions at the local and national level.

METHODS

We modeled the multi-dimensional structure of urban slums in the city of Salvador, a city of 3 million inhabitants in Brazil, by integrating census-derived socioeconomic variables and remotely-sensed land cover variables. We assessed the correlation between the two sets of variables using canonical correlation analysis, identified land cover proxies for the socioeconomic variables, and produced an integrated map of deprivation in Salvador at 30 m × 30 m resolution.

RESULTS

The canonical analysis identified three significant ordination axes that described the structure of Salvador census tracts according to land cover and socioeconomic features. The first canonical axis captured a gradient from crowded, low-income communities with corrugated roof housing to higher-income communities. The second canonical axis discriminated among socioeconomic variables characterizing the most marginalized census tracts, those without access to sanitation or piped water. The third canonical axis accounted for the least amount of variation, but discriminated between high-income areas with white-painted or tiled roofs from lower-income areas.

CONCLUSIONS

Our approach captures the socioeconomic and land cover heterogeneity within and between slum settlements and identifies the most marginalized communities in a large, complex urban setting. These findings indicate that changes in the canonical scores for slum areas can be used to track their evolution and to monitor the impact of development programs such as slum upgrading.

Children's health in slum settings

Rapid urbanisation in the 20th century has been accompanied by the development of slums. Nearly one-third of the world's population and more than 60% of urban populations in the least developed countries live in slums, including hundreds of millions of children. Slums are areas of broad social and health disadvantage to children and their families due to extreme poverty, overcrowding, poor water and sanitation, substandard housing, limited access to basic health and education services, and other hardships (eg, high unemployment, violence). Despite the magnitude of this problem, very little is known about the potential impact of slum life on the health of children and adolescents. Statistics that show improved mortality and health outcomes in cities are based on aggregated data and may miss important intraurban disparities. Limited but consistent evidence suggests higher infant and under-five years mortality for children residing in slums compared with non-slum areas. Children suffer from higher rates of diarrhoeal and respiratory illness, malnutrition and have lower vaccination rates. Mothers residing in slums are more poorly educated and less likely to receive antenatal care and skilled birth assistance. Adolescents have earlier sexual debut and higher rates of HIV, and adopt risky behaviours influenced by their social environment. We also know little about the consequences of this form of early childhood on long-term health-related behaviour (eg, diet and exercise) and non-communicable disease outcomes, such as obesity, heart disease and mental illness. Further attention to understanding and addressing child health in slum settings is an important priority for paediatricians and those committed to child health worldwide.

Social and gender determinants of risk of cryptosporidiosis, an emerging zoonosis, in Dagoretti, Nairobi, Kenya

The aim of the study was to investigate the social and gender determinants of the risk of exposure to Cryptosporidium from urban dairying in Dagoretti, Nairobi. Focus group discussions were held in six locations to obtain qualitative information on risk of exposure. A repeated cross-sectional descriptive study included participatory assessment and household questionnaires (300 randomly selected urban dairy farming households and 100 non-dairying neighbours). One-hundred dairy households randomly selected from the 300 dairy households participated in an additional economic survey along with 40 neighbouring non-dairy households. We found that exposure to Cryptosporidium was influenced by gender, age and role in the household. Farm workers and people aged 50 to 65 years had most contact with cattle, and women had greater contact with raw milk. However, children had relatively higher consumption of raw milk than other age groups. Adult women had more daily contact with cattle faeces than adult men, and older women had more contact than older men. Employees had greater contact with cattle than other groups and cattle faeces, and most (77 %) were male. Women took more care of sick people and were more at risk from exposure by this route. Poverty did not affect the level of exposure to cattle but did decrease consumption of milk. There was no significant difference between men and women as regards levels of knowledge on symptoms of cryptosporidiosis infections or other zoonotic diseases associated with dairy farming. Awareness of cryptosporidiosis and its transmission increased significantly with rising levels of education. Members of non-dairy households and children under the age of 12 years had significantly higher odds of reporting diarrhoea: gender, season and contact with cattle or cattle dung were not significantly linked with diarrhoea. In conclusion, social and gender factors are important determinants of exposure to zoonotic disease in Nairobi.

Urban inequities; urban rights: a conceptual analysis and review of impacts on children, and policies to address them

This paper explores current conceptual understanding of urban social, environmental, and health inequality and inequity, and looks at the impact of these processes on urban children and young people in the 21st century. This conceptual analysis was commissioned for a discussion paper for UNICEF's flagship publication: State of the World's Children 2012: Children in an Urban World. The aim of the paper is to examine evidence on the meaning of urban inequality and inequity for urban children and young people. It further looks at the controversial policies of targeting "vulnerable" young people, and policies to achieve the urban MDGs. Finally, the paper looks briefly at the potential of concepts such as environment justice and rights to change our understanding of urban inequality and inequity.

The effects of school poverty on adolescents' sexual health knowledge

Using National Longitudinal Study of Adolescent Health data, hierarchical linear modeling was conducted to estimate the association of school poverty concentration to the sexual health knowledge of 6,718 adolescents. Controlling for individual socio-economic status, school poverty had modest negative effects on sexual health knowledge. Although not directly associated with sexual health knowledge, after controlling for demographic characteristics, school poverty interactions showed that sexual health knowledge was associated with higher grade point average (GPA) and age. The combination of low GPA and high-levels of school poverty was especially detrimental for students' sexual health knowledge. There are differences in the sexual health knowledge of adolescents attending low poverty and high poverty schools that can be attributed to the school environment.

Mental health in the slums of Dhaka - a geoepidemiological study

Background

Urban health is of global concern because the majority of the world's population lives in urban areas. Although mental health problems (e.g. depression) in developing countries are highly prevalent, such issues are not yet adequately addressed in the rapidly urbanising megacities of these countries, where a growing number of residents live in slums. Little is known about the spectrum of mental well-being in urban slums and only poor knowledge exists on health promotive socio-physical environments in these areas. Using a geo-epidemiological approach, the present study identified factors that contribute to the mental well-being in the slums of Dhaka, which currently accommodates an estimated population of more than 14 million, including 3.4 million slum dwellers.

Methods

The baseline data of a cohort study conducted in early 2009 in nine slums of Dhaka were used. Data were collected from 1,938 adults (≥ 15 years). All respondents were geographically marked based on their households using global positioning systems (GPS). Very high-resolution land cover information was processed in a Geographic Information System (GIS) to obtain additional exposure information. We used a factor analysis to reduce the socio-physical explanatory variables to a fewer set of uncorrelated linear combinations of variables. We then regressed these factors on the WHO-5 Well-being Index that was used as a proxy for self-rated mental well-being.

Results

Mental well-being was significantly associated with various factors such as selected features of the natural environment, flood risk, sanitation, housing quality, sufficiency and durability. We further identified associations with population density, job satisfaction, and income generation while controlling for individual factors such as age, gender, and diseases.

Conclusions

Factors determining mental well-being were related to the socio-physical environment and individual level characteristics. Given that mental well-being is associated with physiological well-being, our study may provide crucial information for developing better health care and disease prevention programmes in slums of Dhaka and other comparable settings.

Socioeconomic status, urbanicity and risk behaviors in Mexican youth: an analysis of three cross-sectional surveys

Background

The relationship between urbanicity and adolescent health is a critical issue for which little empirical evidence has been reported. Although an association has been suggested, a dichotomous rural versus urban comparison may not succeed in identifying differences between adolescent contexts. This study aims to assess the influence of locality size on risk behaviors in a national sample of young Mexicans living in low-income households, while considering the moderating effect of socioeconomic status (SES).

Methods

This is a secondary analysis of three national surveys of low-income households in Mexico in different settings: rural, semi-urban and urban areas. We analyzed risk behaviors in 15-21-year-olds and their potential relation to urbanicity. The risk behaviors explored were: tobacco and alcohol consumption, sexual initiation and condom use. The adolescents' localities of residence were classified according to the number of inhabitants in each locality. We used a logistical model to identify an association between locality size and risk behaviors, including an interaction term with SES.

Results

The final sample included 17,974 adolescents from 704 localities in Mexico. Locality size was associated with tobacco and alcohol consumption, showing a similar effect throughout all SES levels: the larger the size of the locality, the lower the risk of consuming tobacco or alcohol compared with rural settings. The effect of locality size on sexual behavior was more complex. The odds of adolescent condom use were higher in larger localities only among adolescents in the lowest SES levels. We found no statically significant association between locality size and sexual initiation.

Conclusions

The results suggest that in this sample of adolescents from low-income areas in Mexico, risk behaviors are related to locality size (number of inhabitants). Furthermore, for condom use, this relation is moderated by SES. Such heterogeneity suggests the need for more detailed analyses of both the effects of urbanicity on behavior, and the responses--which are also heterogeneous--required to address this situation.

Stress and the social determinants of maternal health among Puerto Rican women: a CBPR approach

This qualitative research project explores how poverty, the built environment, education, working conditions, health care access, food insecurity and perceived discrimination are experienced by Puerto Rican Latinas through the course of their lives. Five focus groups were conducted with the primary objective of documenting community experiences and perspectives regarding: 1) stress, including perceived discrimination based on race/ethnicity (racism); 2) the impact of stress on Puerto Rican women of reproductive age, their families, and/or their community; and 3) stressors that affect maternal health. Focus groups were conducted in English and Spanish in the two cities with the highest rates of premature birth and low infant birthweight in the state of Connecticut. Focus group findings indicate that participants perceived poverty, food insecurity, lack of access to quality education, and unsafe environments as significant life stressors affecting maternal and child health.