Understanding urban health inequalities: methods and design of the Heart Health Hoods qualitative project / Comprensión de las desigualdades en salud urbana: métodos y diseños del proyecto cualitativo Heart Health Hoods

Objective: Qualitative methods may help to understand features related to health urban inequalities as a way to include citizens' perceptions of their neighbourhoods in relation to their health-related behaviours. The aim of this article is to describe the methods and design of a qualitative urban health study. Methods: The Heart Healthy Hoods (HHH) analyses cardiovascular health in an urban environment using mixed methods: electronic health records, quantitative individual questionnaires, physical examination, semi-structured Interviews (SSIs), focus groups (FGs) and participatory technics such as photovoice. This article focuses on the HHH qualitative methods and design. A case study was used to select three neighbourhoods in Madrid with different socioeconomic levels: low, medium, and high. The selection process for these three neighbourhoods was as follows: classification of all Madrid's neighbourhoods (128) according to their socioeconomic level; after ranking this classification, nine neighbourhoods, three by socioeconomic level, were short-listed; different urban sociology criteria and non-participant observation were used for the final selection of three neighbourhoods. After selecting the three neighbourhoods, thirty SSIs were held with residents and six SSIs were held with key informants. Finally, twenty-nine FGs will be conducted over the course of 8 months, between May and December of 2018. Conclusions: Systematization in the selection of neighbourhoods and the use of adequate techniques are essential for the qualitative study of urban health inequalities

Objetivo: La metodología cualitativa puede ayudar a entender aspectos relacionados con las desigualdades en salud urbana, incluyendo la percepción de los ciudadanos de su barrio en relación con los comportamientos relacionados con su salud. El objetivo de este artículo es describir los métodos y el diseño de un estudio cualitativo sobre salud urbana. Método: Heart Healthy Hoods (HHH) es un estudio que analiza la salud cardiovascular en un ámbito urbano, utilizando métodos mixtos: registros electrónicos de salud, cuestionarios individuales cuantitativos, exploraciones físicas, entrevistas semiestructuradas (ESE), grupos de discusión (GD) y técnicas participativas como el fotovoz. Este artículo se centra en los métodos y el diseño de la fase cualitativa del HHH. Se aplicó un estudio de caso, seleccionando tres barrios de Madrid con diferente nivel socioeconómico: bajo, medio y alto. El proceso de selección para estos tres barrios fue el siguiente: clasificación de todos los barrios de Madrid (128) según su nivel socioeconómico; tras graduar la clasificación se seleccionaron nueve barrios de Madrid, tres por nivel socioeconómico; se utilizaron diferentes criterios de sociología urbana y observación no participante para la selección final de tres barrios. Tras la elección de los tres barrios, se realizaron 30 ESE a vecinos y 6 ESE a informantes clave. Finalmente, se están organizando 29 GD con vecinos durante 8 meses, entre mayo y diciembre de 2018. Conclusiones: La sistematización en la selección de barrios y la utilización de las técnicas adecuadas son fundamentales para el estudio cualitativo de las desigualdades en el entorno urbano

Classification of frailty using the Kihon checklist: A cluster analysis of older adults in urban areas.

AIM: Frailty is an important predictor of the need for long-term care and hospitalization. Our aim was to categorize frailty in community-dwelling older adults. METHODS: The present study was carried out in 2011-2013, and consisted of 1380 individuals over 65 years of age. Participants completed the Kihon checklist, which is widely used to assess frailty in Japan, and their physical, cognitive and social function was evaluated. Non-hierarchical cluster analysis was used to statistically categorize frailty. The optimum number of clusters was determined as the point at which the external reference values (instrumental activity of daily living score, grip power, 10-m walk time, body mass index, portable fall risk index, occlusal force and Mini-Mental State Examination score) differed. RESULTS: According to the Kihon checklist, 369 (26.7%) of the 1380 study participants were considered frail. When the cluster number was increased from two to six, the scores in each subdomain of the Kihon checklist significantly differed. The estimated minimum number of clusters was five, and each of the five cluster groups had distinct characteristics. The numbers of participants in cluster groups 1-5 were 105, 78, 62, 71 and 53, respectively. CONCLUSIONS: We identified five types of frailty in community-dwelling older adults in Japan: "experience of falling," "pre-frailty," "oral frailty," "housebound" and "severe frailty." Geriatr Gerontol Int 2017; 17: 69-77.

Validity of an ecometric neighborhood physical disorder measure constructed by virtual street audit.

Neighborhood physical disorder is thought to affect mental and physical health, but it has been difficult to measure objectively and reliably across large geographical areas or multiple locales. Virtual street audits are a novel method for assessing neighborhood characteristics. We evaluated the ecometric properties of a neighborhood physical disorder measure constructed from virtual street audit data. Eleven trained auditors assessed 9 previously validated items developed to capture physical disorder (e.g., litter, graffiti, and abandoned buildings) on 1,826 block faces using Google Street View imagery (Google, Inc., Mountain View, California) dating from 2007-2011 in 4 US cities (San Jose, California; Detroit, Michigan; New York, New York; and Philadelphia, Pennsylvania). We constructed a 2-parameter item response theory scale to estimate latent levels of disorder on each block face and defined a function using kriging to estimate physical disorder levels, with confidence estimates, for any point in each city. The internal consistency reliability of the resulting scale was 0.93. The final measure of disorder was positively correlated with US Census data on unemployment and housing vacancy and negatively correlated with data on owner-occupied housing. These results suggest that neighborhood physical disorder can be measured reliably and validly using virtual audits, facilitating research on possible associations between physical disorder and health.

Major reduction in AIDS-mortality inequalities after HAART: the importance of absolute differences in evaluating interventions.

This study estimates the magnitude of inequalities in AIDS mortality in the period when highly active antiretroviral therapy (HAART) was introduced and after its widespread dissemination in the Region of Madrid, Spain. Two population cohorts were constructed by linking records from 1996 and 2001 population censuses with mortality registry records after initial and full implementation of HAART, respectively. Absolute and relative differences in AIDS mortality in people aged 20-49 years were estimated in each population cohort according to neighbourhood and individual socioeconomic position. The absolute difference in mortality between neighbourhoods with highest and lowest socioeconomic position (unemployment rate, per capita income) declined from about 30/100,000 person-years in the 1996 population cohort to 8/100,000 person-years in the 2001 population cohort. The absolute difference in mortality between individuals with the highest and lowest socioeconomic position fell from about 60/100,000 person-years in the first cohort to about 20/100,000 in the second. Relative differences in mortality by neighbourhood socioeconomic position and by individual education level also decreased in the 2001 cohort with respect to the 1996 cohort. Although relative differences by individual occupation increased, there was no evidence of a significant change. These findings show major reduction in absolute socioeconomic differences in AIDS mortality after HAART and indicate that the use of relative differences alone may be inadequate to fully evaluate the results of health interventions.

Staying connected: neighbourhood correlates of social participation among older adults living in an urban environment in Montréal, Quebec.

Alongside community involvement, promoting social participation has been identified as a key strategy of fostering empowerment, one of the central tenets of the health promotion movement. Engagement in social and productive activities appears to be particularly beneficial to older adults, as it has been found to be associated with positive outcomes on a variety of health indicators. It is therefore critical to identify factors that might lead to greater social participation within these age groups. The objective of this study was to investigate the relationship between perceptions of neighbourhood user-friendliness and social participation while controlling for personal characteristics in a sample of seniors living in an urban environment. A convenience sample of older adults (n = 282) was recruited through community organizations located in high- average- and low-income Montreal neighbourhoods. Data were collected via an interviewer-administered questionnaire assessing social participation and various variables at the neighbourhood level (e.g. housing and social environment, walking environment and transportation, and services and amenities) and at the individual-level (e.g. health status and socio-demographic characteristics). Five variables emerged as independent predictors of social participation. Positive predictors retained in the final regression model included frequent walking episodes (almost every day), higher Vitality and General Health SF-12v2 scores, and perceived accessibility to key resources for older adults. Also included was a negative predictor: age (R2 of the final model = 0.28). Implications of the findings for research and action pertaining to ecological, health promotion interventions for older adults are identified.

A multilevel analysis of the effects of neighbourhood income inequality on individual self-rated health in Hong Kong.

We examined the effect on self-rated health of neighbourhood-level income inequality in Hong Kong, which has a high and growing Gini coefficient. Data were derived from two population household surveys in 2002 and 2005 of 25,623 and 24,610 non-institutional residents aged 15 or over. We estimated neighbourhood-level Gini coefficients in each of 287 Government Planning Department Tertiary Planning Units. We used multilevel regression analysis to assess the association of neighbourhood income inequality with individual self-perceived health status. After adjustment for both individual- and household-level predictors, there was no association between neighbourhood income inequality, median household income or household-level income and self-rated health. We tested for but did not find any statistical interaction between these three income-related exposures. These findings suggest that neighbourhood income inequality is not an important predictor of individual health status in Hong Kong.

Exploring obesogenic food environments in Edmonton, Canada: the association between socioeconomic factors and fast-food outlet access.

PURPOSE: To explore the relationship between the placement of fast-food outlets and neighborhood-level socioeconomic variables by determining if indicators of lower socioeconomic status were predictive of exposure to fast food. DESIGN: A descriptive analysis of the fast-food environment in a Canadian urban center, using secondary analysis of census data and Geographic Information Systems technology. SETTING: Edmonton, Alberta, Canada. MEASURES: Neighborhoods were classified as High, Medium, or Low Access based on the number of fast-food opportunities available to them. Neighborhood-level socioeconomic data (income, education, employment, immigration status, and housing tenure) from the 2001 Statistics Canada federal census were obtained. ANALYSIS: A discriminant function analysis was used to determine if any association existed between neighborhood demographic characteristics and accessibility of fast-food outlets. RESULTS: Significant differences were found between the three levels of fast-food accessibility across the socioeconomic variables, with successively greater percentages of unemployment, low income, and renters in neighborhoods with increasingly greater access to fast-food restaurants. A high score on several of these variables was predictive of greater access to fast-food restaurants. CONCLUSION: Although a causal inference is not possible, these results suggest that the distribution of fast-food outlets relative to neighborhood-level socioeconomic status requires further attention in the process of explaining the increased rates of obesity observed in relatively deprived populations.

Whither gender in urban health?

The past decade has witnessed the rapid expansion of the field of urban health, including the establishment of an international society of urban health and annual conference, the publication of several books and the growing popularity of a peer-reviewed journal on urban health. Relatively absent is an emphasis on the role of gender in urban health, despite scholarly and theoretical work on gender and place by feminist geographers, sociologists, public health researchers and others. This essay examines the treatment of gender within urban health and, drawing on insights from the social sciences, offers suggestions as to how urban health researchers might adopt an intersectional and gendered approach that will advance our understanding of the production of urban health for women and men.

Municipal mortality due to thyroid cancer in Spain.

BACKGROUND: Thyroid cancer is a tumor with a low but growing incidence in Spain. This study sought to depict its spatial municipal mortality pattern, using the classic model proposed by Besag, York and Mollié. METHODS: It was possible to compile and ascertain the posterior distribution of relative risk on the basis of a single Bayesian spatial model covering all of Spain's 8077 municipal areas. Maps were plotted depicting standardized mortality ratios, smoothed relative risk (RR) estimates, and the posterior probability that RR > 1. RESULTS: From 1989 to 1998 a total of 2,538 thyroid cancer deaths were registered in 1,041 municipalities. The highest relative risks were mostly situated in the Canary Islands, the province of Lugo, the east of La Coruña (Corunna) and western areas of Asturias and Orense. CONCLUSION: The observed mortality pattern coincides with areas in Spain where goiter has been declared endemic. The higher frequency in these same areas of undifferentiated, more aggressive carcinomas could be reflected in the mortality figures. Other unknown genetic or environmental factors could also play a role in the etiology of this tumor.

A socially neutral disease? Individual social class, household wealth and mortality from Spanish influenza in two socially contrasting parishes in Kristiania 1918-19.

The Spanish influenza pandemic of 1918-19 was one of the most devastating diseases in history, killing perhaps as many as 50-100 million people worldwide. Much of the literature since 1918 has favored the view that mortality from Spanish influenza was class neutral. This view has prevailed, even though several contemporary surveys showed that there indeed were clear differences between the classes in disease incidence and that case fatality rates from influenza and pneumonia also varied according to socioeconomic status. Furthermore, studies of more recent influenza epidemics have also shown that there can be clear class differentials in mortality in this type of illness--is there any reason to believe that Spanish influenza was different? This paper is the first study in which individual- and household-level data which are unique for the period are utilized to test the conservative hypothesis that Spanish influenza was a socially neutral disease with respect to mortality. Through the use of Cox regressions in an analysis of two socially contrasting parishes in the Norwegian capital city of Kristiania, it is shown that apartment size as an indicator of wealth of a household, in addition to social status of place of residence, were the only socioeconomic variables that had an independent and significant effect on mortality after controlling for age, sex and marital status.

The Index of Multiple Deprivation 2000 and accessibility effects on health.

STUDY OBJECTIVE: To investigate whether the Index of Multiple Deprivation 2000 (IMD) is more strongly related to inequalities in health in rural areas than traditional deprivation indices. To explore the contribution of the IMD domain "geographical access to services" to understanding rural health variations. DESIGN: A geographically based cross sectional study. SETTING: Nine counties in the south west region of England. PARTICIPANTS: All those aged below 65 who reported a limiting long term illness in the 1991 census, and all those who died during 1991-96, aged less than 65 years. MAIN RESULTS: The IMD is comparable with the Townsend score in its overall correlation with premature mortality (r(2) = 0.44 v 0.53) and morbidity (r(2) = 0.79 v 0.76). Correlation between the Townsend score and population health is weak in rural areas but the IMD maintains a strong correlation with rates of morbidity (r(2) = 0.70). The "geographical access to services" domain of the IMD is not strongly correlated with rates of morbidity in rural areas (r(2) = 0.04), and in urban areas displays a negative correlation (r(2) = -0.47). CONCLUSIONS: The IMD has a strong relation with health in both rural and urban areas. This is likely to be the result of the inclusion of data in the IMD on the numbers of people claiming benefits related to ill health and disability. The domain "geographical access to services" is not associated with health in rural areas, although it displays some association in urban areas. This domain is potentially important but, as yet, inadequately specified in the IMD for the purposes of health research.

Social capital and neighborhood mortality rates in Chicago.

Several empirical studies have suggested that neighborhood characteristics influence health, with most studies having focused on neighborhood deprivation or aspects of the physical environment, such as services and amenities. However, such physical characteristics are not the only features of neighborhoods that potentially affect health. Neighborhoods also matter because of the nature of their social organization. This study examined social capital as a potential neighborhood characteristic influencing health. Using a cross-sectional study design which linked counts of death for persons 45-64 years by race and sex to neighborhood indicators of social capital and poverty for 342 Chicago neighborhoods in the USA, we tested the ecological association between neighborhood-level social capital and mortality rates, taking advantage of the community survey data collected as part of the Project on Human Development in Chicago Neighborhoods. We estimated a hierarchical generalized linear model to examine the association of race and sex specific mortality rates to social capital. Overall, neighborhood social capital-as measured by reciprocity, trust, and civic participation-was associated with lower neighborhood death rates, after adjustment for neighborhood material deprivation. Specifically, higher levels of neighborhood social capital were associated with lower neighborhood death rates for total mortality as well as death from heart disease and "other" causes for White men and women and, to a less consistent extent, for Blacks. However, there was no association between social capital and cancer mortality. Although, the findings from this study extend the state-level findings linking social capital to health to the level of neighborhoods, much work remains to be carried out before social capital can be widely applied to improve population health, including establishing standards of measurement, and exploring the potential "downsides" of social capital.

Income inequality, residential poverty clustering and infant mortality: a study in Rio de Janeiro, Brazil.

In this paper, we propose an approach to investigate the hypothesis that the residential concentration of poverty affects health status more deeply than when poverty is randomly scattered in a given geographical area. To characterize the geographic pattern of poverty in the city of Rio de Janeiro, Brazil, an index that measures the heterogeneity of poverty concentration among sub-areas was proposed. We used census data and defined poverty by means of the household head monthly income. The 153 neighborhoods that compose the city were used as the geographic units, and the census tracts as the sub-areas. The proposed index measures differences of poverty concentration across census tracts within a neighborhood. The effects of geographic poverty clustering on infant mortality related variables (early neonatal mortality rate; post-neonatal mortality rate; proportion of adolescent mothers; and fertility rate among adolescents) were estimated by partial correlation coefficients, controlling for the neighborhood poverty rate. Our study revealed that intra-city variations of the post-neonatal mortality rate are associated with geographic patterns of poverty, and that pregnancy in adolescence is strongly and contextually correlated with intra-neighborhood poverty clustering, even after adjustment for the poverty rate. The evidence of relevant health differences associated with the spatial concentration of poverty supports the hypothesis that properties of the environment of residence contextually influence health. Our findings suggest that prevention of some infant mortality related problems has to be focused directly on features of communities, considering their physical, cultural and psychosocial characteristics, being of particular concern the health of communities segregated from the society at large by extreme poverty.

Factor variability of the Center for Epidemiological Studies Depression Scale (CES-D) among urban Latinos.

Establishing comparable measurement properties across different populations or in different population subgroups is a crucial yet often neglected step in instrument development. Failure to have comparable factor structures across groups makes any comparison between groups suspect. Previous analyses of the measurement structure of the Center for Epidemiologic Studies Depression Scale (CES-D) in diverse racial/ethnic populations have resulted in conflicting results. In the present analysis, data from three studies of urban Latinos (N = 1,403) were analyzed using structural equation modeling techniques to (1) fit the original four-factor solution separately in men and women; (2) evaluate configural and metric invariance between men and women; and (3) evaluate the mediating effects of age and acculturation on the fit of this model to the data. Results indicated that the four-factor model proposed by Radloff provided adequate fit to the data for Latina women when age and acculturation were included in the model. The four-factor model did not fit the data for Latino men; thus tests of configural and metric invariance across these two groups failed. We conclude that the CES-D may not measure the same constructs in Latino men and women and that further evaluation of the use of this measure in diverse populations is needed. Additionally, prior to comparison with other groups in which the four-factor solution is observed, the effects of age and acculturation should be controlled in Latinas.

The effect of primary care physician supply and income inequality on mortality among blacks and whites in US metropolitan areas.

OBJECTIVES: This study assessed whether income inequality and primary care physician supply have a different effect on mortality among Blacks compared with Whites. METHODS: We conducted a multivariate ecologic analysis of 1990 data from 273 US metropolitan areas. RESULTS: Both income inequality and primary care physician supply were significantly associated with White mortality (P < .01). After the inclusion of the socioeconomic status covariates, the effect of income inequality on Black mortality remained significant (P < .01), but the effect of primary care physician supply was no longer significant (P > .10), particularly in areas with high income inequality. CONCLUSIONS: Improvement in population health requires addressing socioeconomic determinants of health, including income inequality and primary care availability and access.

Social inequalities, stressors and self reported health status among African American and white women in the Detroit metropolitan area.

This article examines the cumulative effects of multiple stressors on women's health, by race and area of residence. Specifically, we examine socioeconomic status, experiences of unfair treatment and acute life events by race and residential location, and their cumulative effects on the health status of African American and white women living within the city of Detroit and in the surrounding metropolitan area. African American women, regardless of whether they live inside or outside the city, report more frequent encounters with everyday unfair treatment than white women. African American women who live in the city report a greater number of acute life events than white women who live outside the city. Regression analyses used to examine the cumulative effects of exposure to these stressors by race and area of residence show that: (1) socioeconomic status, everyday experiences with unfair treatment and acute life events each make a significant contribution to differences in health status; and (2) the contribution of each of these variables to explaining variations in health status varies by area of residence. We suggest that differences in socioeconomic status, exposure to unfair treatment or discrimination and experiences of acute life events make significant contributions to racial differences in women's health status.

Deprivation and poor health in rural areas: inequalities hidden by averages.

Poor health and social deprivation scores in 570 wards in East Anglia, UK, were much less associated in rural than in urban areas. The deprivation measure most closely related to poor health in the least accessible rural wards was male unemployment, but use of this measure did not remove the urban-rural gradient of association strength. Neither did replacing wards by smaller enumeration districts as the units of analysis. The differences between urban and rural correlations were removed by restricting the comparison to wards with the same unemployment range and combining pairs of rural wards with similar deprivation values. Apparent differences between rural and urban associations are therefore not due to the choice of deprivation indices or census areas but are artifacts of the greater internal variability, smaller average deprivation range and smaller population size of rural small areas. Deprived people with poor health in rural areas are hidden by favourable averages of health and deprivation measures and do not benefit from resource allocations based on area values.

The urban and rural divide for women giving birth in NSW, 1990-1997.

OBJECTIVE: To examine trends in the pregnancy profile and outcomes of urban and rural women. METHODS: Data were obtained from the NSW Midwives Data Collection on births in NSW, 1990-1997. Associations between place of residence (urban/rural) and maternal factors and pregnancy outcomes were examined, including changes over time. RESULTS: From 1990 to 1997 there were 685,631 confinements in NSW and these mothers resided as follows: 76% metropolitan, 5% large rural centres, 8% small rural centres, 11% other rural areas and 1% remote areas. Rural mothers were more likely to be teenagers, multiparous, without a married or de facto partner, public patients and smokers. Births in rural areas declined, particularly among women aged 20-34 years. Infants born to mothers in remote communities were at increased odds of stillbirth and low Apgar scores (all women) and small-for-gestational- age (SGA) (Indigenous women only). CONCLUSIONS: The profile of pregnant women in rural NSW is different from their urban counterparts and is consistent with relative socioeconomic disadvantage and possibly suboptimal maternity services in some areas. While increased risk of SGA is associated with environmental factors such as smoking and nutrition, the reasons the increased risk of stillbirth are unclear. Although there does not appear to be an increase d risk of preterm birth for rural women this may be masked by transfer of high risk pregnancies interstate. IMPLICATIONS: Maternity services need to be available and accessible to all rural women with targeting of interventions known to reduce low birthweight and perinatal death.

Maternal sensitivity in a developing society: the context of urban poverty and infant chronic undernutrition.

This study focuses on young children's chronic undernutrition and its association with maternal sensitivity, sociodemographic variables, children's play, and problem-solving measures. Data were obtained with home observations and laboratory procedures on 85 mothers and infants (M age = 18 months) in a low-income urban population in Santiago, Chile. Maternal sensitivity was correlated with maternal education, maternal weight, and marital satisfaction. Observed in a variety of maternal roles, maternal sensitivity was also significantly associated with children's nutritional status, attachment security, and mastery behavior. These findings demonstrate the relevance of the maternal sensitivity construct outside industrialized societies and underline the need for intervention strategies to extend beyond nutritional supplementation to address deficits of maternal care associated with specific caregiver's roles.