A multilevel analysis of urban neighborhood socioeconomic disadvantage and health in late life

Association of Childhood Exposure to School Racial Segregation with Late-Life Cognitive Outcomes among Older Americans

IMPORTANCE

Disparities in cognition, including dementia occurrence, persist between White and Black older adults, and are possibly influenced by early educational differences stemming from structural racism. However, the relationship between school racial segregation and later-life cognition remains underexplored.

OBJECTIVE

To investigate the association between childhood contextual exposure to school racial segregation and cognitive outcomes in later life.

DESIGN SETTING AND PARTICIPANTS

Data from 16,625 non-Hispanic White (hereafter, White) and 3,335 non-Hispanic Black (hereafter, Black) Americans aged 65 or older were analyzed from the Health and Retirement Study.

EXPOSURES

State-level White-Black dissimilarity index for public elementary schools in the late 1960s (range: 0-100) was used to measure school segregation. States were categorized into high segregation (383.6) and low segregation (<83.6) based on the top quintile.

MAIN OUTCOMES AND MEASURES

Cognitive scores, cognitive impairment (with or without dementia), and dementia were assessed using the Telephone Interview for Cognitive Status (TICS) and proxy assessment. Multilevel regression analyses were conducted, adjusting for demographic covariates, socioeconomic status, and health factors. Stratified analyses by race were performed.

RESULTS

The mean (SD) age of participants was 78.5 (5.7) years, and 11,208 (56.2%) were female. Participants exposed to high segregation exhibited lower cognitive scores (12.6 vs. 13.6; P<0.001) and higher prevalence of cognitive impairment (50.8% vs 41.4%; P<0.001) and dementia (26.0% vs. 19.5%; P<0.001), compared to those with low segregation exposure. Multilevel analyses revealed a significant negative association between school segregation and later-life cognitive even after adjusting sequentially for potential confounders, and these associations were stronger among Black than White participants. Notably, in the fully adjusted model, Black participants exposed to high segregation displayed significantly lower cognitive scores (-0.51; 95% CI: -0.94, -0.09) and higher likelihood of cognitive impairment (adjusted Odds Ratio [aOR]: 1.45, 95% CI: 1.22, 1.72) and dementia (aOR: 1.31, 95% CI: 1.06, 1.63).

CONCLUSIONS AND RELEVANCE

Our study underscores that childhood exposure to state-level school segregation is associated with late-life cognition, especially for Black Americans. Given the rising trend of school segregation in the US, educational policies aimed at reducing segregation are crucial to address health inequities. Clinicians can leverage patients' early-life educational circumstances to promote screening, prevention, and management of cognitive disorders.

Survival among children under-five in India: a parametric multilevel survival approach

BACKGROUND

Many studies have been conducted on under-five mortality in India and most of them focused on the associations between individual-level factors and under-five mortality risks. On the contrary, only a scarce number of literatures talked about contextual level effect on under-five mortality. Hence, it is very important to have thorough study of under-five mortality at various levels. This can be done by applying multilevel analysis, a method that assesses both fixed and random effects in a single model. The multilevel analysis allows extracting the influence of individual and community characteristics on under-five mortality. Hence, this study would contribute substantially in understanding the under-five mortality from a different perspective.

METHOD

The study used data from the Demographic and Health Survey (DHS) acquired in India, i.e., the fourth round of National Family and Health Survey (2015-16). It is a nationally representative repeated cross-sectional data. Multilevel Parametric Survival Model (MPSM) was employed to assess the influence of contextual correlates on the outcome. The assumption behind this study is that 'individuals' (i.e., level-1) are nested within 'districts' (i.e., level-2), and districts are enclosed within 'states' (i.e., level-3). This suggests that people have varying health conditions, residing in dissimilar communities with different characteristics.

RESULTS

Highest under-five mortality i.e., 3.85% are happening among those women whose birth interval is less than two years. In case of parity, around 4% under-five mortality is among women with Third and above order parity. Further, findings from the full model is that ICC values of 1.17 and 0.65% are the correlation of the likelihood of having under-five mortality risk among people residing in the state and district communities, respectively. Besides, the risk of dying was increased alarmingly in the first year of life and slowly to aged 3 years and then it remains steady.

CONCLUSION

This study has revealed that both aspects viz. individual and contextual effect of the community are necessary to address the importance variations in under-five mortality in India. In order to ensure substantial reduction in under-five mortality, findings of the study support some policy initiatives that involves the need to think beyond individual level effects and considering contextual characteristics.

The effects of neighborhood socioeconomic status on ADL/IADL among Chinese older adults-neighborhood environments as mediators

Background

There have been few consistencies in the effects and pathways of neighborhood socioeconomic status (SES) on functional limitations. This study aimed to investigate whether neighborhood socioeconomic status influences ADL/IADL in older residents in China through the neighborhood built environment and social environment.

Methods

Activities of daily living/IADL were assessed in a sample of 5,887 Chinese individuals aged 60 or older, utilizing data obtained from the 2011 China Health and Retirement Longitudinal Study (CHARLS 2011). Neighborhood SES was measured by the neighborhood per-capita net income. Neighborhood built environment was measured by the security resources, motion resources, living resources, service resources for older adults, and medical resources of neighborhood. Neighborhood social environment was measured by the organizations, unemployment subsidies, minimum living allowance, subsidies to persons older than 65, and pensions to persons older than 80 of the neighborhood. The two-level logistical regression model and multilevel structural equation model (MSEM) were used.

Results

The rate of ADL/IADL loss among Chinese older adults aged 60 and above in 2011 were 32.17 and 36.87%, respectively. Neighborhood SES was significantly associated with ADL/IADL in older adults. Compared with the respondents living in communities with lower SES, those living in communities with higher SES possessed better ADL (β = -0.33, p < 0.05) and IADL (β = -0.36, p < 0.05) status. The path of neighborhood socioeconomic status on ADL was completely mediated by the neighborhood built environment (β = -0.110, p < 0.05) and neighborhood social environment (β = -0.091, p < 0.05). Additionally, the effect of neighborhood socioeconomic status on IADL was fully mediated by the neighborhood built environment (β = -0.082, p < 0.05) and neighborhood social environment (β = -0.077, p < 0.05).

Conclusion

Neighborhood SES was significantly correlated with ADL/IADL through the neighborhood environment. Improving the ADL/IADL status of older adults residing in low socioeconomic neighborhoods requires enhancing the built and social environment by provisioning additional neighborhood resources.

Contributions of neighborhood social environment and air pollution exposure to Black-White disparities in epigenetic aging

Racial disparities in many aging-related health outcomes are persistent and pervasive among older Americans, reflecting accelerated biological aging for Black Americans compared to White, known as weathering. Environmental determinants that contribute to weathering are poorly understood. Having a higher biological age, measured by DNA methylation (DNAm), than chronological age is robustly associated with worse age-related outcomes and higher social adversity. We hypothesize that individual socioeconomic status (SES), neighborhood social environment, and air pollution exposures contribute to racial disparities in DNAm aging according to GrimAge and Dunedin Pace of Aging methylation (DPoAm). We perform retrospective cross-sectional analyses among 2,960 non-Hispanic participants (82% White, 18% Black) in the Health and Retirement Study whose 2016 DNAm age is linked to survey responses and geographic data. DNAm aging is defined as the residual after regressing DNAm age on chronological age. We observe Black individuals have significantly accelerated DNAm aging on average compared to White individuals according to GrimAge (239%) and DPoAm (238%). We implement multivariable linear regression models and threefold decomposition to identify exposures that contribute to this disparity. Exposure measures include individual-level SES, census-tract-level socioeconomic deprivation and air pollution (fine particulate matter, nitrogen dioxide, and ozone), and perceived neighborhood social and physical disorder. Race and gender are included as covariates. Regression and decomposition results show that individual-level SES is strongly associated with and accounts for a large portion of the disparity in both GrimAge and DPoAm aging. Higher neighborhood deprivation for Black participants significantly contributes to the disparity in GrimAge aging. Black participants are more vulnerable to fine particulate matter exposure for DPoAm, perhaps due to individual- and neighborhood-level SES, which may contribute to the disparity in DPoAm aging. DNAm aging may play a role in the environment "getting under the skin", contributing to age-related health disparities between older Black and White Americans.

Validating a geospatial healthfulness index with self-reported chronic disease and health outcomes

Leveraging community engagement from past research may yield frameworks on which to build new inquiries. We previously integrated community voice into the development of a healthfulness index to increase awareness of social determinants of health in the built environment and inform deployment of public health interventions in the Flint (Michigan, USA) Center for Health Equity Solutions. Here we combine the healthfulness index with self-reported chronic disease and health outcomes (n = 12,279) from a community-based healthcare entity, the Genesee Health Plan. The healthfulness index purports to predict how health-promoting a neighborhood is based on many spatially varying characteristics; by linking our health plan data to this index, we validate the effectiveness of the healthfulness index. After geocoding all enrollees and joining their healthfulness scores, we conducted a series of logistic regressions to compare the relationship between self-reported outcomes and healthfulness. Matching the two intervention projects of our center (revolving around healthy eating & physical activity in project 1 and mental health sustainment & substance use prevention in project 2), our analyses also focused on classes of outcomes related to a) cardiovascular disease and b) mental health. In only select cases, higher (better) healthfulness scores from each project were independently associated with better cardiovascular and mental health outcomes, controlling for age, race, and sex. Generally, however, healthfulness did not add predictive strength to the association between health and sociodemographic covariates. Even so, the use of composite healthfulness indices to describe the health-promoting or degrading qualities of a neighborhood could be valuable in identifying differences in health outcomes. Future researchers could further explore healthcare claims datasets to increase understanding of the links between healthfulness and health outcomes. This and future work will be valuable in advocacy toward additional healthfulness indices to aid other communities in enriching understanding between the built environment and health.

Ambient ozone effects on respiratory outcomes among smokers modified by neighborhood poverty: An analysis of SPIROMICS AIR

BACKGROUND

Neighborhood poverty has been associated with poor health outcomes. Previous studies have also identified adverse respiratory effects of long-term ambient ozone. Factors associated with neighborhood poverty may accentuate the adverse impact of ozone on respiratory health.

OBJECTIVES

To evaluate whether neighborhood poverty modifies the association between ambient ozone exposure and respiratory morbidity including symptoms, exacerbation risk, and radiologic parameters, among participants of the SPIROMICS AIR cohort study.

METHODS

Spatiotemporal models incorporating cohort-specific monitoring estimated 10-year average outdoor ozone concentrations at participants' homes. Adjusted regression models were used to determine the association of ozone exposure with respiratory outcomes, accounting for demographic factors, education, individual income, body mass index (BMI), and study site. Neighborhood poverty rate was defined by percentage of families living below federal poverty level per census tract. Interaction terms for neighborhood poverty rate with ozone were included in covariate-adjusted models to evaluate for effect modification.

RESULTS

1874 participants were included in the analysis, with mean (± SD) age 64 (± 8.8) years and FEV₁ (forced expiratory volume in one second) 74.7% (±25.8) predicted. Participants resided in neighborhoods with mean poverty rate of 9.9% (±10.3) of families below the federal poverty level and mean 10-year ambient ozone concentration of 24.7 (±5.2) ppb. There was an interaction between neighborhood poverty rate and ozone concentration for numerous respiratory outcomes, including COPD Assessment Test score, modified Medical Research Council Dyspnea Scale, six-minute walk test, and odds of COPD exacerbation in the year prior to enrollment, such that adverse effects of ozone were greater among participants in higher poverty neighborhoods.

CONCLUSION

Individuals with COPD in high poverty neighborhoods have higher susceptibility to adverse respiratory effects of ambient ozone exposure, after adjusting for individual factors. These findings highlight the interaction between exposures associated with poverty and their effect on respiratory health.

School racial segregation and long-term cardiovascular health among Black adults in the US: A quasi-experimental study

BACKGROUND

Cardiovascular disease (CVD) disproportionately affects Black adults in the United States. This is increasingly acknowledged to be due to inequitable distribution of health-promoting resources. One potential contributor is inequities in educational opportunities, although it is unclear what aspects of education are most salient. School racial segregation may affect cardiovascular health by increasing stress, constraining socioeconomic opportunities, and altering health behaviors. We investigated the association between school segregation and Black adults' CVD risk.

METHODS AND FINDINGS

We leveraged a natural experiment created by quasi-random (i.e., arbitrary) timing of local court decisions since 1991 that released school districts from court-ordered desegregation. We used the Panel Study of Income Dynamics (PSID) (1991 to 2017), linked with district-level school segregation measures and desegregation court order status. The sample included 1,053 Black participants who ever resided in school districts that were under a court desegregation order in 1991. The exposure was mean school segregation during observed schooling years. Outcomes included several adult CVD risk factors and outcomes. We fitted standard ordinary least squares (OLS) multivariable linear regression models, then conducted instrumental variables (IV) analysis, using the proportion of schooling years spent in districts that had been released from court-ordered desegregation as an instrument. We adjusted for individual- and district-level preexposure confounders, birth year, and state fixed effects. In standard linear models, school segregation was associated with a lower probability of good self-rated health (-0.05 percentage points per SD of the segregation index; 95% CI: -0.08, -0.03; p < 0.001) and a higher probability of binge drinking (0.04 percentage points; 95% CI: 0.002, 0.07; p = 0.04) and heart disease (0.01 percentage points; 95% CI: 0.002, 0.15; p = 0.007). IV analyses also found that school segregation was associated with a lower probability of good self-rated health (-0.09 percentage points; 95% CI: -0.17, -0.02, p = 0.02) and a higher probability of binge drinking (0.17 percentage points; 95% CI: 0.04, 0.30, p = 0.008). For IV estimates, only binge drinking was robust to adjustments for multiple hypothesis testing. Limitations included self-reported outcomes and potential residual confounding and exposure misclassification.

CONCLUSIONS

School segregation exposure in childhood may have longstanding impacts on Black adults' cardiovascular health. Future research should replicate these analyses in larger samples and explore potential mechanisms. Given the recent rise in school segregation, this study has implications for policies and programs to address racial inequities in CVD.

Neighbourhood Socioeconomic Processes and Dynamics and Healthy Ageing: A Scoping Review

Elderly citizens are concentrated in urban areas and are particularly affected by the immediate residential environment. Cities are unequal and segregated places, where there is an intensification of urban change processes such as gentrification and displacement. We aimed to understand how neighbourhood socioeconomic processes and dynamics influence older people’s health. Three bibliographic databases—PubMed, Web of Science, and Scopus—were used to identify evidence of the influence of neighbourhood socioeconomic deprivation, socio-spatial segregation, urban renewal, and gentrification on healthy ageing. We followed the method of Arksey and O’Malley, Levac and colleagues, the Joanna Briggs Institute, and the PRISMA-ScR. The included studies (n = 122) were published between 2001 and 2021. Most evaluated neighbourhood deprivation (n = 114), followed by gentrification (n = 5), segregation (n = 2), and urban renewal (n = 1). Overall, older people living in deprived neighbourhoods had worse healthy ageing outcomes than their counterparts living in more advantaged neighbourhoods. Older adults pointed out more negative comments than positive ones for gentrification and urban renewal. As to segregation, the direction of the association was not entirely clear. In conclusion, the literature has not extensively analysed the effects of segregation, gentrification, and urban renewal on healthy ageing, and more quantitative and longitudinal studies should be conducted to draw better inferences.

[Correlation Study of Community Social Environment and Self-Rated Health of Middle-Aged and Older Adults]

OBJECTIVE

To analyze the impact of the social environment of a community on the self-rated health of middle-aged and older adults living in the community, and to provide a basis for building favorable community social environment that promotes the health of middle-aged and older adults.

METHODS

Using the community and individual survey data from China Health and Retirement Longitudinal Study (CHARLS) done in 2011, 7822 middle-aged and older adults living in 397 communities were selected as the subjects of the study. Community social environment under study included community socioeconomic status, community social security and community services. Self-rated health was measured with a five-level score. A three-level hierarchical generalized linear model (HGLM) was used to analyze the impact of community social environment on the self-rated health of middle-aged and older adults.

RESULTS

The proportion of subjects who reported self-rated poor health was 28.8%. According to the results of the three-level HGLM, the self-rated health of middle-aged and older adults showed differences at both the city and the community levels, and the variance reduction ratio reached 35.71% at the community level. The self-rated health status of residents in the communities with medium and high net per capita income was better than that in the communities with low net per capita income ( OR=0.84, P<0.05; OR=0.70, P<0.05). The self-rated health status of residents in the communities with secondary and higher education levels was better than that in the communities with low education level ( OR=0.78, P<0.05; OR=0.73, P<0.05). The self-rated health of middle-aged and older adults in the communities with unemployment subsidies was much better ( OR=0.77, P<0.05). The self-rated health status of middle-aged and older adults with chronic diseases was worse ( OR=4.46, P<0.05). Middle-aged and older adults living in cities had better self-rated health status ( OR=0.67, P<0.05).

CONCLUSION

Community socioeconomic status and community unemployment subsidy are positively correlated with the self-rated health of middle-aged and older adults living in the community. It is necessary to pay special attention to the health status of middle-aged and older adults in communities of low socioeconomic status, improve unemployment insurance policies, and promote the health of middle-aged and older adults.

Perceptions of Risk: Perspectives on Crime and Safety in Public Housing for Older Adults

BACKGROUND AND OBJECTIVES

An increasing number of older adults are aging-in-place in public housing. Public housing is perceived to have higher rates of crime that have detrimental impacts on health and wellbeing. We used a qualitative approach to understand the experiences of safety and unsafety for older adults in public housing.

RESEARCH DESIGN AND METHODS

Participants included older adult tenants (n=58) as well as service providers (n=58) that offer supports directly in the buildings. Semi-structured qualitative interviews and focus groups were used to explore: (1) what makes the buildings feel unsafe; (2) how safety concerns impact access to support services; and (3) strategies used to promote safety.

RESULTS

Participants acknowledged the importance of safety for creating a home-like environment; however, many described feeling unsafe at home or work. Participants described extreme examples of antisocial behaviors that were pervasive and viewed as commonplace. Lack of building security was a key issue, which was compounded by a perceived lack of accountability. While service providers were willing to accept a certain level of risk, many acknowledged that unsafe situations forced them to withdraw in-home services or stop community programs, further contributing to feelings of unsafety. In the absence of effective formal security, participants described several measures taken to mitigate risk.

DISCUSSION AND IMPLICATIONS

Our findings point to the need for enhanced physical and environmental safety infrastructure, improved building management, increased on-site security, as well as other proactive measures to reduce risk by creating greater sense of connection and community within the buildings.

A systematic review of geographic indices of disadvantage with implications for older adults

BACKGROUNDNeighborhood-level socioeconomic disadvantage has wide-ranging impacts on health outcomes, particularly in older adults. Although indices of disadvantage are a widely used tool, research conducted to date has not codified a set of standard variables that should be included in these indices for the United States. The objective of this study was to conduct a systematic review of literature describing the construction of geographic indices of neighborhood-level disadvantage and to summarize and distill the key variables included in these indices. We also sought to demonstrate the utility of these indices for understanding neighborhood-level disadvantage in older adults.METHODSWe conducted a systematic review of existing indices in the English-language literature.RESULTSWe identified 6021 articles, of which 130 met final study inclusion criteria. Our review identified 7 core domains across the surveyed papers, including income, education, housing, employment, neighborhood structure, demographic makeup, and health. Although not universally present, the most prevalent variables included in these indices were education and employment.CONCLUSIONIdentifying these 7 core domains is a key finding of this review. These domains should be considered for inclusion in future neighborhood-level disadvantage indices, and at least 5 domains are recommended to improve the strength of the resulting index. Targeting specific domains offers a path forward toward the construction of a new US-specific index of neighborhood disadvantage with health policy applications. Such an index will be especially useful for characterizing the life-course impact of lived disadvantage in older adults.

Dietary adherence and program attrition during a severely energy-restricted diet among people with complex class III obesity: A qualitative exploration

Meal replacement Severely Energy-Restricted Diets (SERDs) produce ≥ 10% loss of body mass when followed for 6 weeks or longer in people with class III obesity (BMI ≥ 40 kg/m2). The efficacy of SERDs continues to be questioned by healthcare professionals, with concerns about poor dietary adherence. This study explored facilitators and barriers to dietary adherence and program attrition among people with class III obesity who had attempted or completed a SERD in a specialised weight loss clinic. Participants who commenced a SERD between January 2016 to May 2018 were invited to participate. Semi-structured in-depth interviews were conducted from September to October 2018 with 20 participants (12 women and 8 men). Weight change and recounted events were validated using the participants' medical records. Data were analysed by thematic analysis using line-by-line inductive coding. The mean age ± SD of participants was 51.2 ± 11.3 years, with mean ± SD BMI at baseline 63.7 ± 12.6 kg/m2. Five themes emerged from participants' recounts that were perceived to facilitate dietary adherence: (1.1) SERD program group counselling and psychoeducation sessions, (1.2) emotionally supportive clinical staff and social networks that accommodated and championed change in dietary behaviours, (1.3) awareness of eating behaviours and the relationship between these and progression of disease, (1.4) a resilient mindset, and (1.5) dietary simplicity, planning and self-monitoring. There were five themes on factors perceived to be barriers to adherence, namely: (2.1) product unpalatability, (2.2) unrealistic weight loss expectations, (2.3) poor program accessibility, (2.4) unforeseeable circumstances and (2.5) externalised weight-related stigma. This study highlights opportunities where SERD programs can be optimised to facilitate dietary adherence and reduce barriers, thus potentially improving weight loss outcomes with such programs. Prior to the commencement of a SERD program, healthcare professionals facilitating such programs could benefit from reviewing participants to identify common barriers. This includes identifying the presence of product palatability issues, unrealistic weight loss expectations, socio-economic disadvantage, and behaviour impacting experiences of externalised weight-related stigma.

Maternal Delivery at Home: Issues in India

INTRODUCTION

Maternal delivery at home without skilled care at birth is a major public health issue. The current study aimed to assess the various contributing and eliminating factors of maternal delivery at home in India. The reasons for not delivering at healthcare facilities were also explored.

METHODS

The study used the National Family Health Surveys (NFHS)-4 (2015-2016) data from states and union territories of India for analysis. A national representative sample of 699,686 women of reproductive age group (15-49 years) was used. Cross-tabulation and multivariate logistic regression analyses were performed.

RESULTS

The prevalence of home delivery in India was 22%, among which 34% of women believed that institutional delivery was not a necessity. Financial constraints, lack of proper transportation facilities, non-accessibility of healthcare institutions and not getting permission from family members were the main reasons cited by the women for delivering at home. The proportion of home deliveries was much higher among women from more disadvantaged socioeconomic areas than women from less disadvantaged socioeconomic areas. Domestic violence and partner control were essential factors contributing to the prevalence of home delivery. However, the women who owned mobile phones and used a short message service (SMS) facility delivered at home less often.

CONCLUSION

Policymakers should focus more on the women living in disadvantaged socioeconomic areas and other marginalised populations with less education and low economic levels to provide them with optimum delivery care utilisation. Strengthening of public healthcare facilities and more effective use of skilled birth attendents and their networking are essential steps. Electronic and economic empowerment of women should be emphasised to bring about a significant reduction in the proportion of home deliveries in India.

Neighborhood environment and muscle mass and function among rural older adults: a 3-year longitudinal study

BACKGROUND

Sarcopenia, resulting from loss of muscle mass and function, is highly prevalent in the ageing societies and is associated with risk of falls, frailty, loss of independence, and mortality. It is important to identify environmental risk factors, so that evidence-based interventions to prevent sarcopenia can be implemented at the population level. This study aimed to examine the potential effect of several objectively measured neighborhood environmental factors on longitudinal change of muscle mass and function among older adults living in rural Japanese towns where the population is ageing.

METHODS

This study was based on data from the Shimane CoHRE Study conducted by the Center for Community-based Healthcare Research and Education (CoHRE) at Shimane University in 3 rural towns in the Shimane Prefecture, Japan. Subjects older than 60 years, who participated in an annual health examination in 2016 and any follow-up years until 2019, i.e., 4 possible time points in total, were included (n = 2526). The skeletal muscle mass index (SMI) and grip strength were assessed objectively for each year as a measure of muscle mass and function, respectively. Neighborhood environmental factors, i.e., hilliness, bus stop density, intersection density, residential density, and distance to a community center were measured by geographic information systems (GIS). Linear mixed models were applied to examine the potential effect of each neighborhood environmental factor on the change of SMI and grip strength over time.

RESULTS

Males living far from community centers had a less pronounced decline in SMI compared to those living close to community centers. Females living in areas with higher residential density had a less pronounced decline in grip strength compared to those living in areas with lower residential density.

CONCLUSIONS

Neighborhood environmental factors had limited effects on change of SMI and grip strength among rural older adults within the 3 years follow up. Further long-term follow up studies are necessary by also taking into account other modifiable neighborhood environmental factors.

Healthy and unhealthy food environments are linked with neighbourhood socio-economic disadvantage: an innovative geospatial approach to understanding food access inequities

Objective:

This study examined the separate relationships between socio-economic disadvantage and the density of multiple types of food outlets, and relationships between socio-economic disadvantage and composite food environment indices.

Design:

Cross-sectional data were analysed using geospatial kernel density techniques. Food outlet data included convenience stores, discount stores, fast-food and fast casual restaurants, and grocery stores. Controlling for urbanicity and race/ethnicity, multivariate linear regression was used to examine the relationships between socio-economic disadvantage and density of food outlets.

Setting:

This study occurred in a large Southeastern US county containing 255 census block groups with a total population of 474 266, of which 77·1 % was Non-Hispanic White, the median household income was $48 886 and 15·0 % of residents lived below 125 % of the federal poverty line.

Participants:

The unit of analysis was block groups; all data about neighbourhood socio-economic disadvantage and food outlets were publicly available.

Results:

As block group socio-economic disadvantage increased, so too did access to all types of food outlets. The total food environment index, calculated as the ratio of unhealthy food outlets to all food outlets, decreased as block group disadvantage increased.

Conclusions:

Those who reside in more disadvantaged block groups have greater access to both healthy and unhealthy food outlets. The density of unhealthy establishments was greater in more disadvantaged areas; however, because of having greater access to grocery stores, disadvantaged populations have less obesogenic total food environments. Structural changes are needed to reduce access to unhealthy food outlets to ensure environmental injustice and reduce obesity risk.

Development of a national childhood obesogenic environment index in the United States: differences by region and rurality

Background

Diverse environmental factors are associated with physical activity (PA) and healthy eating (HE) among youth. However, no study has created a comprehensive obesogenic environment index for children that can be applied at a large geographic scale. The purpose of this study was to describe the development of a childhood obesogenic environment index (COEI) at the county level across the United States.

Methods

A comprehensive search of review articles (n = 20) and input from experts (n = 12) were used to identify community-level variables associated with youth PA, HE, or overweight/obesity for potential inclusion in the index. Based on strength of associations in the literature, expert ratings, expertise of team members, and data source availability, 10 key variables were identified – six related to HE (# per 1000 residents for grocery/superstores, farmers markets, fast food restaurants, full-service restaurants, and convenience stores; as well as percentage of births at baby (breastfeeding)-friendly facilities) and four related to PA (percentage of population living close to exercise opportunities, percentage of population < 1 mile from a school, a composite walkability index, and number of violent crimes per 1000 residents). Data for each variable for all counties in the U.S. (n = 3142) were collected from publicly available sources. For each variable, all counties were ranked and assigned percentiles ranging from 0 to 100. Positive environmental variables (e.g., grocery stores, exercise opportunities) were reverse scored such that higher values for all variables indicated a more obesogenic environment. Finally, for each county, a total obesogenic environment index score was generated by calculating the average percentile for all 10 variables.

Results

The average COEI percentile ranged from 24.5–81.0 (M = 50.02,s.d. = 9.01) across US counties and was depicted spatially on a choropleth map. Obesogenic counties were more prevalent (F = 130.43,p < .0001) in the South region of the U.S. (M = 53.0,s.d. = 8.3) compared to the Northeast (M = 43.2,s.d. = 6.9), Midwest (M = 48.1,s.d. = 8.5), and West (M = 48.4,s.d. = 9.8). When examined by rurality, there were also significant differences (F = 175.86,p < .0001) between metropolitan (M = 46.5,s.d. = 8.4), micropolitan (M = 50.3,s.d. = 8.1), and rural counties (M = 52.9,s.d. = 8.8) across the U.S.

Conclusion

The COEI can be applied to benchmark obesogenic environments and identify geographic disparities and intervention targets. Future research can examine associations with obesity and other health outcomes.

Unique Effects of Perceived Neighborhood Physical Disorder and Social Cohesion on Episodic Memory and Semantic Fluency

OBJECTIVE

Objective measures of neighborhood quality are associated with physical and mental health outcomes for older adults, but the relationship between perceived neighborhood quality and cognitive health has not been fully explored. Furthermore, positive and negative neighborhood characteristics may influence cognition through different mechanisms. The present study aimed to determine whether perceptions of neighborhood quality predict cognitive functioning in two domains, above and beyond individual-level risk factors, in a nationally representative sample of older adults.

METHOD

Using cross-sectional weighted data from 13,919 participants aged 51 and older from the Health and Retirement Study, linear regression models tested independent associations between perceived neighborhood quality (physical disorder and social cohesion) and cognition (episodic memory and semantic verbal fluency), controlling for sociodemographic characteristics, chronic disease burden, and depressive symptoms. Interaction terms tested whether neighborhood social cohesion moderated the relationship between neighborhood physical disorder and each cognitive outcome.

RESULTS

Perception of greater neighborhood physical disorder was significantly associated with worse episodic memory, while perception of lower neighborhood social cohesion was significantly associated with worse semantic fluency. There were no significant interactions between physical disorder and social cohesion.

CONCLUSIONS

Results provide preliminary evidence for different mechanisms underlying associations between aspects of neighborhood quality and cognition (e.g., stress vs. social interaction). Additional intervention work is needed to determine whether improving neighborhood physical conditions and promoting social cohesion at the neighborhood level could reduce cognitive morbidity among older adults.

Epigenetic predictors of all-cause mortality are associated with objective measures of neighborhood disadvantage in an urban population

BACKGROUND

Neighborhood characteristics are robust predictors of overall health and mortality risk for residents. Though there has been some investigation of the role that molecular indicators may play in mediating neighborhood exposures, there has been little effort to incorporate newly developed epigenetic biomarkers into our understanding of neighborhood characteristics and health outcomes.

METHODS

Using 157 participants of the Detroit Neighborhood Health Study with detailed assessments of neighborhood characteristics and genome-wide DNA methylation profiling via the Illumina 450K methylation array, we assessed the relationship between objective neighborhood characteristics and a validated DNA methylation-based epigenetic mortality risk score (eMRS). Associations were adjusted for age, race, sex, ever smoking, ever alcohol usage, education, years spent in neighborhood, and employment. A secondary model additionally adjusted for personal neighborhood perception. We summarized 19 neighborhood quality indicators assessed for participants into 9 principal components which explained over 90% of the variance in the data and served as metrics of objective neighborhood quality exposures.

RESULTS

Of the nine principal components utilized for this study, one was strongly associated with the eMRS (β = 0.15; 95% confidence interval = 0.06-0.24; P = 0.002). This principal component (PC7) was most strongly driven by the presence of abandoned cars, poor streets, and non-art graffiti. Models including both PC7 and individual indicators of neighborhood perception indicated that only PC7 and not neighborhood perception impacted the eMRS. When stratified on neighborhood indicators of greenspace, we observed a potentially protective effect of large mature trees as this feature substantially attenuated the observed association.

CONCLUSION

Objective measures of neighborhood disadvantage are significantly associated with an epigenetic predictor of mortality risk, presenting a potential novel avenue by which neighborhood-level exposures may impact health. Associations were independent of an individual's perception of their neighborhood and attenuated by neighborhood greenspace features. More work should be done to determine molecular risk factors associated with neighborhoods, and potentially protective neighborhood features against adverse molecular effects.

Integrating Biomarkers in Social Stratification and Health Research

This article provides an overview of the integration of biomarkers and biological mechanisms in social science models of stratification and health. The goal in reviewing this literature is to highlight research that identifies the social forces that drive inequalities over the life course and across generations. The article is structured in the following way. First, descriptive background information on biomarkers is presented, followed secondly by a review of the general theoretical paradigms that lend themselves to an integrative approach. Third, the biomarkers used to capture several biological systems that are most responsive to social conditions are described. Fourth, research that explicates how social exposures "get under the skin" to affect physiological functioning and downstream health is discussed, using socioeconomic disadvantage as an illustrative social exposure. The review ends with emerging directions in the use of biomarkers in social science research. This article endeavors to encourage sociologists to embrace biosocial approaches in order to elevate the importance of social factors in biomedical processes and to intervene on the social conditions that create inequities.

Effects of Perceived Neighbourhood Environments on Self-Rated Health among Community-Dwelling Older Chinese

In response to the growing number of older people living in cities, the World Health Organization (WHO) introduced the concept of “Age-Friendly Cities” (AFC) to guide the way in designing physical and social environments to encourage active ageing. Limited research has studied the effects of neighbourhood age-friendliness on elderly health outcomes. Using the example of a highly urbanized city in Asia, this study examined the effects of perceived age-friendliness of neighbourhood environments on self-rated health (SRH) among community-dwelling older Chinese. A multi-stage sampling method was used to collect views of community-dwelling older people from two local districts of Hong Kong. A structured questionnaire covering the WHO’s eight AFC domains was developed to collect information on the perceived neighbourhood environments, SRH and individual characteristics. Age-friendliness of neighbourhood was assessed by mean scores of AFC domains, which was used to predict SRH with adjustment for individual and objective neighbourhood characteristics. Furthermore, 719 respondents aged ≥60 years completed the questionnaire, of which 44.5% reported good SRH. Independent of individual and objective neighbourhood characteristics, multiple logistics regressions showed that higher satisfaction on outdoor spaces and buildings, transportation, housing, social participation, and respect and social inclusion was significantly associated with increased odds of reporting good SRH by more than 20% (p < 0.05). Individuals aged 70–79 years, being female, lower education and residents of public or subsidized housing were less likely to report good SRH, after controlling for individual and neighbourhood characteristics. In addition to age, gender, education and housing type, AFC environments have important contributive influence on SRH, after controlling for individual and objective neighbourhood characteristics.

Association between socioeconomic and physical/built neighborhoods and disability: A systematic review

The aim of this systematic review was to assess the association between the characteristics of the socioeconomic and physical/built neighborhoods and disability in basic activities of daily living (ADL) and/or instrumental activities of daily living (IADL). Six databases were searched. Fourteen from the 1811 identified studies were included. Neighborhoods with socioeconomic disadvantage were associated with ADL/IADL disabilities in 7 out of the 11 studies with this objective. Worst features of the physical/built neighborhoods were associated with disabilities in only 3 of the 7 studies that investigated this. Relative to the physical/built, the socioeconomic neighborhood and ADL/IADL disabilities were more consistently associated in the still scarcely available literature on the subject.

Functional limitation trajectories and their determinants among women in the Philippines

BACKGROUND

Limited evidence exists regarding how functional limitation patterns of women in developing countries unfold through midlife and into old age, a critical period during which the tendency to develop severe problems is fomented.

OBJECTIVE

Functional limitation prevalence and patterns through midlife into early old age, and their determinants, are examined among women in the Philippines.

METHODS

Data from the Cebu Longitudinal Health and Nutrition Study are monitored from 1994 to 2015. Patterns are categorized using group-based trajectory modeling. Predictors of group membership are modeled.

RESULTS

About half responding to all survey waves report functional limitation at least once over the study period. Movements in and out of functional limitation states are common. Between age 30 and 70, trajectories are categorized into four groups: 1) robust, 2) late onset, 3) early onset, and 4) recovery. Being married, living in a nuclear household, higher successful birth ratio, and higher education associate with favorable trajectories. More births, higher age at first birth, wealth, and urbanicity associate with less favorable trajectories.

CONCLUSION

Many possible routes into and out of functional limitation exist. The manifold patterns can be grouped into common trajectories. A number of earlier life characteristics associate with these trajectories.

CONTRIBUTION

This is the first analysis to ascertain common functional limitation trajectories and earlier life predictors among women as they age in a high fertility developing country setting. Recognizing these is an important step toward understanding global health given aging of the population and the likelihood of functional problems developing in women as they move into old age.

Neighborhood disadvantage, individual-level socioeconomic position and physical function: A cross-sectional multilevel analysis

INTRODUCTION

Understanding associations between physical function and neighborhood disadvantage may provide insights into which interventions might best contribute to reducing socioeconomic inequalities in health. This study examines associations between neighborhood-disadvantage, individual-level socioeconomic position (SEP) and physical function from a multilevel perspective.

METHODS

Data were obtained from the HABITAT multilevel longitudinal (2007-13) study of middle-aged adults, using data from the fourth wave (2013). This investigation included 6004 residents (age 46-71years) of 535 neighborhoods in Brisbane, Australia. Physical function was measured using the PF-10 (0-100), with higher scores indicating better function. The data were analyzed using multilevel linear regression and were extended to test for cross-level interactions by including interaction terms for different combinations of SEP (education, occupation, household income) and neighborhood disadvantage on physical function.

RESULTS

Residents of the most disadvantaged neighborhoods reported significantly lower physical function (men: β -11.36 95% CI -13.74, -8.99; women: β -11.41 95% CI -13.60, -9.22). These associations remained after adjustment for individual-level SEP. Individuals with no post-school education, those permanently unable to work, and members of the lowest household income had significantly poorer physical function. Cross-level interactions suggested that the relationship between household income and physical function is different across levels of neighborhood disadvantage for men; and for education and occupation for women.

CONCLUSION

Living in a disadvantaged neighborhood was negatively associated with physical function after adjustment for individual-level SEP. These results may assist in the development of policy-relevant targeted interventions to delay the rate of physical function decline at a community-level.

Neighbourhood disadvantage and self-reported type 2 diabetes, heart disease and comorbidity: a cross-sectional multilevel study

PURPOSE

This study examines associations between neighborhood socioeconomic disadvantage and self-reported type 2 diabetes and heart disease, occurring separately and concurrently at a single time point (comorbidity).

METHODS

This study included 11,035 residents from 200 neighborhoods in Brisbane, Australia. Respondents self-reported type 2 diabetes and heart disease as long-term health conditions. Neighborhood socioeconomic disadvantage was measured using a census-derived composite index. Individual socioeconomic position was measured using education, occupation, and household income. Data were analyzed using multilevel multinomial mixed-effects logistic regression using Markov chain Monte Carlo simulation.

RESULTS

Compared with the most advantaged neighborhoods, residents of the most-disadvantaged neighborhoods were more likely to report type 2 diabetes (odds ratio [OR] = 2.21, 95% credible interval [CrI] = 1.55-3.15), heart disease (OR = 1.72, 95% CrI = 1.25-2.38), and comorbidity (OR = 4.38, 95% CrI = 2.27-8.66). This relationship attenuated after adjustment for individual-level socioeconomic position, but remained statistically significant for type 2 diabetes (OR = 1.81, 95% CrI = 1.15-2.83) and comorbidity (OR = 3.00, 95% CrI = 1.49-6.13).

CONCLUSIONS

Studies of neighborhood disadvantage that fail to include individual-level socioeconomic measures may inflate associations. Establishing why residents of disadvantaged neighborhoods are more likely to experience the co-occurrence of heart disease and type 2 diabetes independent of their individual socioeconomic position warrants further investigation.

Conceptual and operational considerations in identifying socioenvironmental factors associated with disability among community-dwelling adults

Disability is conceived as a person–context interaction. Physical and social environments are identified as intervention targets for improving social participation and independence. In comparison to the body of research on place and health, relatively few reports have been published on residential environments and disability in the health sciences literature. We reviewed studies evaluating the socioenvironmental correlates of disability. Searches were conducted in Medline, Embase and CINAHL databases for peer-reviewed articles published between 1997 and 2014. We found many environmental factors to be associated with disability, particularly area-level socioeconomic status and rurality. However, diversity in conceptual and methodological approaches to such research yields a limited basis for comparing studies. Conceptual inconsistencies in operational measures of disability and conceptual disagreement between studies potentially affect understanding of socioenvironmental influences. Similarly, greater precision in socioenvironmental measures and in study designs are likely to improve inference. Consistent and generalisable support for socioenvironmental influences on disability in the general adult population is scarce.

Seniors' perspectives on care: a case study of the Alex Seniors health clinic, Calgary

BACKGROUND

Primary care initiatives face an imperative to not only reduce barriers to care for their patients but also to uniquely accommodate the complex needs of at-risk patient populations. Patient-centered multidisciplinary care team models for primary care, like the Alex Seniors Clinic, are one approach for providing comprehensive care for marginalized seniors. The purpose of this qualitative study was to explore patient perspectives on the responsiveness of the Alex Seniors Clinic to their stated health needs.

RESULTS

Themes reflected participants' perspectives on factors impacting their health needs as vulnerable seniors as well as on the measures that the Alex Seniors Clinic has taken to meet those needs. Factors impacting health included: the nature of their relationships to the physical environment in which they lived, the nature of the relationships they had to others in that environment, and independence and autonomy. Participants identified accessibility, respect and support, and advocacy as the ways in which the clinic was working to address those health needs.

CONCLUSIONS

While respect and support, as well as advocacy, effectively addressed some patient needs, participants felt that accessibility problems continue to be health-related barriers for clinic patients. This may be due to the fact that issues of accessibility reflect larger community and social problems. Nevertheless, it is only through engaging the patient community for input on clinic approaches that an understanding can be gained of how closely a clinic's care goals are currently aligning with patient perspectives of the care and services they receive.

Cardiovascular health outcomes of Latinos in the Affordable Housing as an Obesity Mediating Environment (AHOME) study: a study of rental assistance use

Studies have shown that households subsidized with vouchers live in higher quality units and exhibit fewer physical, mental, and social problems than do their peers living in public housing. However, none of these studies have included cardiovascular outcomes. The objective of this study was to assess if use/type of rental assistance is independently associated with poor cardiovascular health among Latino adults (ages ≥ 18) who are eligible for federal low-income rental assistance and living in the Bronx, NY. Data from the cross-sectional, Affordable Housing as an Obesity Mediating Environment study, collected over 18 months (January 2011 to August 2012) were used. The prevalence of cardiovascular disease (CVD) outcomes was determined by measured high blood pressure and self-reported heart attack and/or stroke. Type of housing status was defined as: public housing units, units subsidized by section 8 vouchers, and units unassisted by either federal program. Statistical techniques used were analysis of variance and multivariate logistic regression. The prevalence of CVD was significantly higher among public housing residents than unassisted participants even in the presence of all individual level covariates. Public housing residents also have higher levels of CVD than do section 8 participants. The prevalence of CVD was similar for unassisted and section 8 participants. These findings point to the potential for health benefits arising from housing voucher use even within a fairly delimited geographic area.

Individual and community determinants of neonatal mortality in Ghana: a multilevel analysis

Background

Neonatal mortality is a global challenge; identification of individual and community determinants associated with it are important for targeted interventions. However in most low and middle income countries (LMICs) including Ghana this problem has not been adequately investigated as the impact of contextual factors remains undetermined despite their significant influence on under-five mortality and morbidity.

Methods

Based on a modified conceptual framework for child survival, hierarchical modelling was deployed to examine about 6,900 women, aged 15 – 49 years (level 1), nested within 412 communities (level 2) in Ghana by analysing combined data of the 2003 and 2008 Ghana Demographic and Health Survey. The aim was to identify individual (maternal, paternal, neonatal, antenatal, delivery and postnatal) and community (socioeconomic disadvantage communities) determinants associated with neonatal mortality.

Results

The results showed both individual and community characteristics to be associated with neonatal mortality. Infants of multiple-gestation [OR 5.30; P-value < 0.001; 95% CI 2.81 – 10.00], neonates with inadequate birth spacing [OR 3.47; P-value < 0.01; 95% CI 1.60 – 7.57] and low birth weight [OR 2.01; P-value < 0.01; 95% CI 1.23 – 3.30] had a lower chance of surviving the neonatal period. Similarly, infants of grand multiparous mothers [OR 2.59; P-value < 0.05; 95% CI 1.03 – 6.49] and non-breastfed infants [OR 142.31; P-value < 0.001; 95% CI 80.19 – 252.54] were more likely to die during neonatal life, whereas adequate utilization of antenatal, delivery and postnatal health services [OR 0.25; P-value < 0.001; 95% CI 0.13 – 0.46] reduced the likelihood of neonatal mortality. Dwelling in a neighbourhood with high socioeconomic deprivation was associated with increased neonatal mortality [OR 3.38; P-value < 0.01; 95% CI 1.42 – 8.04].

Conclusion

Both individual and community characteristics show a marked impact on neonatal survival. Implementation of community-based interventions addressing basic education, poverty alleviation, women empowerment and infrastructural development and an increased focus on the continuum-of-care approach in healthcare service will improve neonatal survival.

The difference-in-difference method: assessing the selection bias in the effects of neighborhood environment on health

This paper uses the difference-in-difference estimation approach to explore the self-selection bias in estimating the effect of neighborhood economic environment on self-assessed health among older adults. The results indicate that there is evidence of downward bias in the conventional estimates of the effect of neighborhood economic disadvantage on self-reported health, representing a lower bound of the true effect.

Self-assessed health of elderly people in Brussels: does the built environment matter?

The living environment plays a key role in the "Aging in Place" strategy. We studied the influence of the built environment on the health status of elderly people living in Brussels. Using census and geo-coded data, we analysed whether built environment factors were associated with poor self-assessed health status and functional limitations of elderly residents (aged 65 and over). We concluded that evidence of such an association is weak and vulnerable to the composition of the neighbourhood.

Contextual socioeconomic status and mental health counseling use among US adolescents with depression

Most adolescents with depressive disorders do not receive any mental health services, even though effective treatments exist. Although research has examined numerous individual-level factors associated with mental health service use among depressed adolescents, less is known about the role of contextual factors. This study examines the relationship between contextual-level socioeconomic status (SES) and clinic-based mental health counseling use among US adolescents with high depressive symptoms in urban and suburban areas. Data from the first two waves of the National Longitudinal Study of Adolescent Health (N = 1,133; 59 % female) were analyzed using multilevel logistic models in which adolescents were nested within counties. After controlling for individual-level predisposing, enabling, and need characteristics, as well as county racial/ethnic composition, county SES was positively associated with clinic-based counseling use among depressed youth. A one standard deviation increase in the county affluence index was associated with 43 % greater odds of receiving any clinical counseling services. Furthermore, the positive relationship between county affluence and clinical counseling use was no longer significant after controlling for the county supply of mental health specialist physicians. The results indicate that county residential context is a key correlate of mental health service use among depressed adolescents, such that those who live in lower SES counties with fewer mental health specialists are less likely to receive treatment.

Educational inequalities in women's depressive symptoms: the mediating role of perceived neighbourhood characteristics

Socio-economically disadvantaged (e.g., less educated) women are at a greater risk of depression compared to less disadvantaged women. However, little is known regarding the factors that may explain socioeconomic inequalities in risk of depression. This study aimed to investigate the contribution of perceived neighbourhood factors in mediating the relationship between education and women’s risk of depression. Cross-sectional data were provided by 4,065 women (aged 18–45). Women self-reported their education level, depressive symptoms (CES-D 10), as well as four neighbourhood factors (i.e., interpersonal trust, social cohesion, neighbourhood safety, and aesthetics). Single and multiple mediating analyses were conducted. Clustering by neighbourhood of residence was adjusted by using a robust estimator of variance. Multiple mediating analyses revealed that interpersonal trust was the only neighbourhood characteristic found to partly explain the educational inequalities in women’s depressive symptoms. Social cohesion, neighbourhood aesthetics and safety were not found to mediate this relationship. Acknowledging the cross-sectional nature of this study, findings suggest that strategies to promote interpersonal trust within socioeconomically disadvantaged neighbourhoods may help to reduce the educational inequalities in risk of depression amongst women. Further longitudinal and intervention studies are needed to confirm these findings.

Dog-walking and sense of community in neighborhoods: implications for promoting regular physical activity in adults 50 years and older

This study investigates whether dog-ownership and neighborhood characteristics are associated with sense of community (SC) and neighborhood-based recreational walking (NRW) for older adults. A random sample of adults ≥50 years of age (n=884) provided information on SC, dog-related factors, neighborhood walking, and socio-demographics in telephone and postal surveys. Associations between dog-ownership, neighborhood characteristics, and NRW were estimated using logistic regression (i.e., odds ratios (OR)). Frequent dog-walkers (≥4 times/wk) were more likely than those not owning a dog to report a heightened SC (OR=1.94, p<.05) and to achieve ≥150min/wk of NRW (OR=10.68, p<.05). SC was also tested but not found to mediate associations between neighborhood characteristics, dog-ownership and NRW. Older adults who walk dogs often in their neighborhoods may benefit from both increased physical activity and heightened sense of community to an extent that supports healthy aging. Longitudinal studies are needed to explore directions of associations among these factors.

The influence of socioeconomic status on women's preferences for modern contraceptive providers in Nigeria: a multilevel choice modeling

BACKGROUND

Contraceptives are one of the most cost effective public health interventions. An understanding of the factors influencing users' preferences for contraceptives sources, in addition to their preferred methods of contraception, is an important factor in increasing contraceptive uptake. This study investigates the effect of women's contextual and individual socioeconomic positions on their preference for contraceptive sources among current users in Nigeria.

METHODS

A multilevel modeling analysis was conducted using the most recent 2008 Nigerian Demographic and Health Surveys data of women aged between 15 and 49 years old. The analysis included 1,834 ever married women from 888 communities across the 36 states of the federation, including the Federal Capital Territory of Abuja. Three outcome variables, private, public, and informal provisions of contraceptive sources, were considered in the modeling.

RESULTS

There was variability in women's preferences for providers across communities. The result shows that change in variance accounted for about 31% and 19% in the odds of women's preferences for both private and public providers across communities. Younger age and being from the richest households are strongly associated with preference for both private and public providers. Living in rural areas and economically deprived neighborhoods were the community level determinants of women's preferences.

CONCLUSION

This study documents the independent association of contextual socioeconomic characteristics and individual level socioeconomic factors with women's preferences for contraceptive commodity providers in Nigeria. Initiatives that seek to improve modern contraceptive uptake should jointly consider users' preferences for sources of these commodities in addition to their preference for contraceptive type.

Self-rated health trajectories in the African American health cohort

BACKGROUND

Self-rated health taps health holistically and dynamically blends prior health histories with current illness burdens and expectations for future health. While consistently found as an independent predictor of functional decline, sentinel health events, physician visits, hospital episodes, and mortality, much less is known about intra-individual changes in self-rated health across the life course, especially for African Americans.

MATERIALS/METHODS

Data on 998 African American men and women aged 50-64 years old were taken from a probability-based community sample that was first assessed in 2000-2001 and re-assessed 1, 2, 3, 4, 7, and 9 years later. Using an innovative approach for including decedents in the analysis, semi-parametric group-based mixture models were used to identify person-centered group trajectories of self-rated health over time. Multivariable multinomial logistic regression analysis was then used to differentiate the characteristics of AAH participants classified into the different group trajectories.

RESULTS

Four self-rated health group trajectories were identified: persistently good health, good but declining health, persistently fair health, and fair but declining health. The main characteristics that differentiated the self-rated health trajectory groups from each other were age, education, smoking, morbidity (angina, congestive heart failure, diabetes, and kidney disease), having been hospitalized in the year prior to baseline, depressive symptoms, mobility limitations, and initial self-rated health.

CONCLUSIONS

This is the first study to examine self-rated health trajectories separately among African Americans. Four qualitatively distinct self-rated health group trajectories were identified that call into question the accuracy of prior reports that a single, average self-rated health trajectory for African Americans adequately captures their within-group heterogeneity.

Economic empowerment of women and utilization of maternal delivery care in bangladesh

OBJECTIVE

Maternal mortality is a major public health problem in low-income countries, such as Bangladesh. Women's empowerment in relation to enhanced utilization of delivery care is underexplored. This study investigates the associations between women's economic empowerment and their utilization of maternal health care services in Bangladesh.

METHODS

In total, 4925 women (15-49 years of age) with at least one child from whole Bangladesh constituted the study sample. Home delivery without skilled birth attendant and use of institutional delivery services were the main outcome variables used for the analyses. Economic empowerment, neighborhood socioeconomic status, household economic status, and demographic factors were considered as explanatory variables. The chi square test and unadjusted and adjusted logistic regression analyses were applied at the collected data.

RESULTS

In the adjusted model, respondent's and husband's education, household economic status, and residency emerged as important predictors for utilization of delivery care services. In the unadjusted model, economically empowered working and microfinanced women displayed more home delivery.

CONCLUSION

The current study shows that use of delivery care services is associated with socioeconomic development and can be enhanced by societies that focus on general issues such as schooling, economic wellbeing, and gender-based discrimination.

Are residents of downtown Toronto influenced by their urban neighbourhoods? Using concept mapping to examine neighbourhood characteristics and their perceived impact on self-rated mental well-being

Background

There is ample evidence that residential neighbourhoods can influence mental well-being (MWB), with most studies relying on census or similar data to characterize communities. Few studies have actively investigated local residents’ perceptions.

Methods

Concept mapping was conducted with residents from five Toronto neighbourhoods representing low income and non-low income socio-economic groups. These residents participated in small groups and attended two sessions per neighbourhood. The first session (brainstorming) generated neighbourhood characteristics that residents felt influenced their MWB. A few weeks later, participants returned to sort these neighbourhood characteristics and rate their relative importance in affecting residents’ ‘good’ and ‘poor’ MWB. The data from the sorting and rating groups were analyzed to generate conceptual maps of neighbourhood characteristics that influence MWB.

Results

While agreement existed on factors influencing poor MWB (regardless of neighbourhood, income, gender and age), perceptions related to factors affecting good MWB were more varied. For example, women were more likely to rank physical beauty of their neighbourhood and range of services available as more important to good MWB, while men were more likely to cite free access to computers/internet and neighbourhood reputation as important. Low-income residents emphasized aesthetic attributes and public transportation as important to good MWB, while non-low-income residents rated crime, negative neighbourhood environment and social concerns as more important contributors to good MWB.

Conclusion

These findings contribute to the emerging literature on neighbourhoods and MWB, and inform urban planning in a Canadian context.

Neighborhood deprivation and clinical outcomes among head and neck cancer patients

The unique effects of neighborhood-level economic deprivation on survival, recurrence, and second primary malignancy development were examined using adjusted Cox proportional hazards regression models among 1151 incident squamous cell carcinomas of the head and neck patients. Cancer site was examined as a potential moderator. Main analyses yielded null results; however, interaction analyses indicated poorer overall survival [HR=1.59 (1.00-2.53)] and greater second primary malignancy development [HR=2.99 (1.46-6.11)] among oropharyngeal cancer patients from highly deprived neighborhoods relative to less deprived neighborhoods. Results suggest a dual focus on individual and neighborhood risk factors could help improve clinical outcomes among oropharyngeal cancer patients.

Socioeconomic status and the trajectory of self-rated health

BACKGROUND

self-rated health (SRH) likely reflects both mental and physical health domains, and is assessed by asking individuals to describe their health status. Poor SRH is associated with disease incidence and subsequent mortality. Changes in SRH across time in persons with different incident diseases are uncharacterised.

METHODS

SRH was assessed in the Atherosclerosis Risk in Communities study via annual telephone interviews over a median of 17.6 years. Individual quadratic growth models were used for repeated measures of SRH in persons who remained disease-free during follow-up (n = 11,188), as well as among those who were diagnosed with myocardial infarction (MI; n = 1,071), stroke (n = 809), heart failure (HF; n = 1,592) or lung cancer (n = 433) and those who underwent a cardiac revascularisation procedure (n = 1,340) during follow-up.

RESULTS

among disease-free participants and across time, there was a trend for lowest mean SRH among persons living in low socioeconomic areas and highest mean SRH among persons living in high socioeconomic areas. Factors contributing to the decline in SRH over time included advanced age, lower educational attainment, smoking and obesity.

CONCLUSION

addressing factors related to poor SRH trajectories among patients pre- and post-incident disease may favourably affect health outcomes among patients regardless of type of disease.

Neighborhood socioeconomic disadvantage, individual wealth status and patterns of delivery care utilization in Nigeria: a multilevel discrete choice analysis

Background

High maternal mortality continues to be a major public health problem in most part of the developing world, including Nigeria. Understanding the utilization pattern of maternal healthcare services has been accepted as an important factor for reducing maternal deaths. This study investigates the effect of neighborhood and individual socioeconomic position on the utilization of different forms of place of delivery among women of reproductive age in Nigeria.

Methods

A population-based multilevel discrete choice analysis was performed using the most recent population-based 2008 Nigerian Demographic and Health Surveys data of women aged between 15 and 49 years. The analysis was restricted to 15,162 ever-married women from 888 communities across the 36 states of the federation including the Federal Capital Territory of Abuja.

Results

The choice of place to deliver varies across the socioeconomic strata. The results of the multilevel discrete choice models indicate that with every other factor controlled for, the household wealth status, women’s occupation, women’s and partner’s high level of education attainment, and possession of health insurance were associated with use of private and government health facilities for child birth relative to home delivery. The results also show that higher birth order and young maternal age were associated with use of home delivery. Living in a highly socioeconomic disadvantaged neighborhood is associated with home birth compared with the patronage of government health facilities. More specifically, the result revealed that choice of facility-based delivery is clustered around the neighborhoods.

Conclusion

Home delivery, which cuts across all socioeconomic strata, is a common practice among women in Nigeria. Initiatives that would encourage the appropriate use of healthcare facilities at little or no cost to the most disadvantaged should be accorded the utmost priority.

Socio-economic determinants in selecting childhood diarrhoea treatment options in Sub-Saharan Africa: a multilevel model

Background

Diarrhoea disease which has been attributed to poverty constitutes a major cause of morbidity and mortality in children aged five and below in most low-and-middle income countries. This study sought to examine the contribution of individual and neighbourhood socio-economic characteristics to caregiver's treatment choices for managing childhood diarrhoea at household level in sub-Saharan Africa.

Methods

Multilevel multinomial logistic regression analysis was applied to Demographic and Health Survey data conducted in 11 countries in sub-Saharan Africa. The unit of analysis were the 12,988 caregivers of children who were reported to have had diarrhoea two weeks prior to the survey period.

Results

There were variability in selecting treatment options based on several socioeconomic characteristics. Multilevel-multinomial regression analysis indicated that higher level of education of both the caregiver and that of the partner, as well as caregivers occupation were associated with selection of medical centre, pharmacies and home care as compared to no treatment. In contrast, caregiver's partners' occupation was negatively associated with selection medical centre and home care for managing diarrhoea. In addition, a low-level of neighbourhood socio-economic disadvantage was significantly associated with selection of both medical centre and pharmacy stores and medicine vendors.

Conclusion

In the light of the findings from this study, intervention aimed at improving on care seeking for managing diarrhoea episode and other childhood infectious disease should jointly consider the influence of both individual SEP and the level of economic development of the communities in which caregivers of these children resides.

A multi-level analysis of urban/rural and socioeconomic differences in functional health status transition among older Chinese

The main purpose of the study is to assess urban versus rural differences in functional status transitions among older Chinese, aged 55+, and to examine how individual and community level socioeconomic indicators alter the rural/urban effects and themselves influence transitions. The study uses a hierarchical linear modeling approach that considers individual responses to be embedded within communities. Data come from the 2004 and 2006 rounds of the Chinese Health and Nutrition Survey. The study considers the functional transitions of 2944 individuals living across 209 communities in nine Chinese provinces. Functioning is measured at baseline as being able or not being able to conduct all of the following: walking, standing, climbing stairs, lifting, kneeling. Outcomes include having or not having a functional limitation, measured the same way, dying, or not responding. Outcomes are modeled adjusted for baseline functional status. Findings indicate urbanites have substantial advantages. They are less likely to have a limitation at follow-up and less likely to die over the study period. Some of this is explained by socioeconomic indicators measured at two levels. Cross-level interactions suggest education and having insurance operate differently in urban and rural areas. Community-level indicators are somewhat less predictive, and much of the urban advantage is unexplained. In conclusion, the study suggests differences in the influences of socioeconomic indicators in China versus what has been found in the past, and that place of residence in China is a particularly robust predictor of functional health transitions.

Urban neighborhood context and mortality in late life

OBJECTIVE

To examine the contextual effects of urban neighborhood characteristics on mortality among older adults.

METHOD

Data are from the Study of Assets and Health Dynamics Among the Oldest Old (AHEAD). Death is assessed between the baseline assessment (1993) and the first follow-up interview (1995). Neighborhood data are from the 1990 Census.

RESULTS

The log odds of dying between the two time points are higher in high proportion Hispanic neighborhoods, net of individual-level sociodemographic variables, but this effect is partly mediated by individual-level health. The log odds of dying are significantly (p < .05) lower in affluent neighborhoods, controlling for all individual-level variables and neighborhood proportion Hispanic.

DISCUSSION

There are survival-related benefits of living in an affluent urban neighborhood, which we posit may be manifested through the diffusion of innovations in health care and health-promotion activities.

Geographic life environments and coronary heart disease: a literature review, theoretical contributions, methodological updates, and a research agenda

A growing literature investigates associations between neighborhood social environments and coronary heart disease (CHD). After reviewing the literature, we present a theoretical model of the mechanisms through which geographic life environments may influence CHD, focusing particularly on the social-interactional environment. We suggest that, in addition to the common notions of social cohesion or fragmentation and social disorder, eco-epidemiologists should consider neighborhood identities and stigmatization processes. We posit that neighborhood social interactions affect the wide set of affective, cognitive, and relational experiences individuals have in their neighborhoods, which in turn influence the psycho-cognitive antecedents of behavior and in the end shape health behavior. Finally, we discuss key methodological challenges relevant to the advent of a new generation of neighborhood studies, including the operational definition of neighborhoods, non-residential environments, ecometric measurement, model specification strategies, mediational models, selection processes and notions of empirical/structural confounding, and the relevance of observational versus interventional studies.