The Social Determinants of Health Core: Taking a Place-Based Approach

Place-based estimates of cigarette butt litter raise environmental justice concerns in the United States

Littering of cigarette butts is a major environmental challenge. In 2022, ~124 billion cigarette butts were littered in the United States. This litter may pose an environmental justice concern by disproportionately affecting human and environmental health in communities of color or communities of low socioeconomic status. However, the lack of data on the distribution and magnitude of cigarette butt littering prevents an environmental justice analysis and limits the ability to tackle this environmental challenge. We conducted an environmental justice assessment of tobacco product waste, specifically cigarette butts, through spatially-explicit, place-based estimates across the contiguous U.S. We built a bottom-up model by synthesizing census tract-level population and smoking prevalence, state-level cigarette consumption, and published littering data to assess the spatial pattern of cigarette consumption and littering, and its implications for environmental injustice in >71,600 U.S. census tracts. Further, we compared the model output to urbanicity (rural-urban commuting area) and Social-Environmental Risk (SER; CDC Environmental Justice Index). Cigarette butt density was not uniformly distributed across the U.S. and ranged from 0-45.5 butts/m2, with an area-weighted average of 0.019 ± 0.0005 butts/m2. Cigarette butt density was 96 times higher in metropolitan vs. rural areas. Cigarette butt density increased significantly with SER, with 5.6 times more littered cigarette butts, and a steeper response to population density, in census tracts with the highest SER vs. the lowest SER. These results demonstrate the relative influences of location, smoking prevalence, and population density, and show that cigarette butt littering is a potential environmental justice concern in the U.S. This study provides information that may help devise targeted strategies to reduce cigarette butt pollution and prevent disproportionate impacts. The spatial data layer with place-based cigarette consumption and butt density is a tool that can support municipal, state, and federal level policy work and future studies on associations among cigarette butt pollution and environmental health outcomes.

Self-efficacy in health among university students: the role of social support and place

OBJECTIVE

The aim of this study was to better understand the role of students' living arrangements (on campus, off campus, with and without their parents) on their health self-efficacy.

PARTICIPANTS

A sample of undergraduate students (n = 216) were recruited by using word of mouth and visiting classrooms in a small Atlantic Canadian university.

METHODS

Participants completed a self-report questionnaire measuring health and sleep self-efficacy. Analyses of variance and covariance were used to compare the living arrangements of the students.

RESULTS

Differences between living arrangements were found. Students living on campus had higher health self-efficacy, particularly on the psychological well-being subscale, followed by those living off campus with their parents. Students living off campus without their parents had the lowest scores.

CONCLUSION

This study demonstrated that health self-efficacy varies according to students' living situations, thus illustrating the importance of keeping students' living arrangements in mind when designing health and well-being interventions.

The PhenX Toolkit: Measurement Protocols for Assessment of Social Determinants of Health

INTRODUCTION

Social determinants are structures and conditions in the biological, physical, built, and social environments that affect health, social and physical functioning, health risk, quality of life, and health outcomes. The adoption of recommended, standard measurement protocols for social determinants of health will advance the science of minority health and health disparities research and provide standard social determinants of health protocols for inclusion in all studies with human participants.

METHODS

A PhenX (consensus measures for Phenotypes and eXposures) Working Group of social determinants of health experts was convened from October 2018 to May 2020 and followed a well-established consensus process to identify and recommend social determinants of health measurement protocols. The PhenX Toolkit contains data collection protocols suitable for inclusion in a wide range of research studies. The recommended social determinants of health protocols were shared with the broader scientific community to invite review and feedback before being added to the Toolkit.

RESULTS

Nineteen social determinants of health protocols were released in the PhenX Toolkit (https://www.phenxtoolkit.org) in May 2020 to provide measures at the individual and structural levels for built and natural environments, structural racism, economic resources, employment status, occupational health and safety, education, environmental exposures, food environment, health and health care, and sociocultural community context.

CONCLUSIONS

Promoting the adoption of well-established social determinants of health protocols can enable consistent data collection and facilitate comparing and combining studies, with the potential to increase their scientific impact.

Expanding the scope of health disparities research in Alzheimer's disease and related dementias: Recommendations from the "Leveraging Existing Data and Analytic Methods for Health Disparities Research Related to Aging and Alzheimer's Disease and Related Dementias" Workshop Series

Topics discussed at the "Leveraging Existing Data and Analytic Methods for Health Disparities Research Related to Aging and Alzheimer's Disease and Related Dementias" workshop, held by Duke University and the Alzheimer's Association with support from the National Institute on Aging, are summarized.  Ways in which existing data resources paired with innovative applications of both novel and well-known methodologies can be used to identify the effects of multi-level societal, community, and individual determinants of race/ethnicity, sex, and geography-related health disparities in Alzheimer's disease and related dementia are proposed.  Current literature on the population analyses of these health disparities is summarized with a focus on identifying existing gaps in knowledge, and ways to mitigate these gaps using data/method combinations are discussed at the workshop.  Substantive and methodological directions of future research capable of advancing health disparities research related to aging are formulated.

Health and environment from adaptation to adaptivity: a situated relational account

The definitions and conceptualizations of health, and the management of healthcare have been challenged by the current global scenarios (e.g., new diseases, new geographical distribution of diseases, effects of climate change on health, etc.) and by the ongoing scholarship in humanities and science. In this paper we question the mainstream definition of health adopted by the WHO-'a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity' (WHO in Preamble to the constitution of the World Health Organization as adopted by the international health conference, The World Health Organization, 1948)-and its role in providing tools to understand what health is in the contemporary context. More specifically, we argue that this context requires to take into account the role of the environment both in medical theory and in the healthcare practice. To do so, we analyse WHO documents dated 1984 and 1986 which define health as 'coping with the environment'. We develop the idea of 'coping with the environment', by focusing on two cardinal concepts: adaptation in public health and adaptivity in philosophy of biology. We argue that the notions of adaptation and adaptivity can be of major benefit for the characterization of health, and have practical implications. We explore some of these implications by discussing two recent case studies of adaptivity in public health, which can be valuable to further develop adaptive strategies in the current pandemic scenario: community-centred care and microbiologically healthier buildings.

Gentrification, Mobility, and Exposure to Contextual Social Determinants of Health

This study uses individual level consumer trace data for 2006 residents of low- and moderate-income neighborhoods for the principal cities of the 100 largest metropolitan regions in the US using their location in 2006 and 2019 to examine exposure to the following four cSDOH: healthcare access (Medically Underserved Areas), socioeconomic condition (Area Deprivation Index), air pollution (NO2, PM 2.5 and PM10), and walkability (National Walkability Index). The results control for individual characteristics and initial neighborhood conditions. Residents of neighborhoods classified as gentrifying were exposed to more favorable cSDOH as of 2006 relative to residents of low- and moderate-income neighborhoods that were not gentrifying in terms of likelihood to be in a MUA, and level of local deprivation and walkability while experiencing similar level of air pollution. As a result of changes in neighborhood characteristics and differential mobility pattern, between 2006 and 2019, individuals who originally lived in gentrifying neighborhoods experienced worse changes in MUAs, ADI, and Walkability Index but a greater improvement in exposure to air pollutants. The negative changes are driven by movers, while stayers actually experience a relative improvement in MUAs and ADI and larger improvements in exposure to air pollutants. The findings indicate that gentrification may contribute to health disparities through changes in exposure to cSDOH through mobility to communities with worse cSDOH among residents of gentrifying neighborhoods although results in terms of exposure to health pollutants are mixed.

Using geographic information systems to inform the public health response to COVID-19 and structural racism: The role of place-based initiatives

Black communities have been disproportionately impacted by the syndemic of COVID-19 and structural racism. Place-based initiatives (PBIs) are well-positioned to respond to this syndemic. This study sought to highlight disparities in access to social determinants of health (SDH) between two racially segregated communities, assess residents' needs and measure resource accessibility in one predominantly Black community, and describe the PBI's response. We measured racial disparities in access to SDH before COVID-19 using an SDH Index. We assessed participants' needs using a needs assessment and documented resource availability. A Geographic Information System (GIS) was used to measure resource accessibility. Results show inequities in access to SDH between the two communities before COVID-19. Following the onset of COVID-19, unemployment and food insecurity were higher in the predominantly Black community relative to the US population. Available resources did not always align with participants' needs and were less accessible for residents without private transportation. The PBI's response to the syndemic spanned SDH sectors. Inequitable access to SDH may be produced by structural racism and exacerbated by COVID-19. PBIs are well-equipped to employ a contextually informed, data-driven, cross-sector response to the syndemic.

Investigating Health Context: Using Geospatial Big Data Ecosystem (Preprint)

Background

Objective

Methods

Results

Conclusions

Gender-based vulnerability: combining Pareto ranking and spatial statistics to model gender-based vulnerability in Rohingya refugee settlements in Bangladesh

BACKGROUND

The Rohingya refugee crisis in Bangladesh continues to outstrip humanitarian resources and undermine the health and security of over 900,000 people. Spatial, sector-specific information is required to better understand the needs of vulnerable populations, such as women and girls, and to target interventions with improved efficiency and effectiveness. This study aimed to create a gender-based vulnerability index and explore the geospatial and thematic variations in gender-based vulnerability of Rohingya refugees residing in Bangladesh by utilizing pre-existing, open source data.

METHODS

Data sources included remotely-sensed REACH data on humanitarian infrastructure, United Nations Population Fund resource availability data, and the Needs and Population Monitoring Survey conducted by the International Organization for Migration in October 2017. Data gaps were addressed through probabilistic interpolation. A vulnerability index was designed through a process of literature review, variable selection and thematic grouping, normalization, and scorecard creation, and Pareto ranking was employed to rank sites based on vulnerability scoring. Spatial autocorrelation of vulnerability was analyzed with the Global and Anselin Local Moran's I applied to both combined vulnerability index rank and disaggregated thematic ranking.

RESULTS

Of the settlements, 24.1% were ranked as 'most vulnerable,' with 30 highly vulnerable clusters identified predominantly in the northwest region of metropolitan Cox's Bazar. Five settlements in Dhokkin, Somitapara, and Pahartoli were categorized as less vulnerable outliers amongst highly vulnerable neighboring sites. Security- and health-related variables appear to be the most significant drivers of gender-specific vulnerability in Cox's Bazar. Clusters of low security and education vulnerability measures are shown near Kutupalong.

CONCLUSION

The humanitarian sector produces tremendous amounts of data that can be analyzed with spatial statistics to improve research targeting and programmatic intervention. The critical utilization of these data and the validation of vulnerability indexes are required to improve the international response to the global refugee crisis. This study presents a novel methodology that can be utilized to not only spatially characterize gender-based vulnerability in refugee populations, but can also be calibrated to identify and serve other vulnerable populations during crises.

A General Pathway Model for Improving Health Disparities: Lessons from Community and Cultural Involvement in Improving Cervical Cancer Screening in Vietnamese Women

Objective: Chronic diseases have become dominant in the global health landscape. Despite remarkable advances in basic science, pharmacology, surgery, and technology, progress in lifestyle improvements, now considered essential, has been disappointing. Patient adherence to medications and other instructions play the greatest role in individual outcome shortfalls. Classically medicine has approached management using a high-risk model, targeting clinical manifestations of disease with progressively intensive therapies, in contrast with population-based models. In an effort to identify effectiveness among the many models available, the “pathways model” is reevaluated. Methods: Relying upon secondary data from prior studies in which Papanicolaou (Pap) test utilization was successfully improved, a “pathway model” is qualitatively reexamined in which characteristics of patients, providers, and the health system—as impacted by culture, beliefs, values, and habits—are acknowledged and incorporated by community resources into treatment plans. In so doing, health disparities are also addressed. Observations: The culturally inclusive pathways model using immersion community-based participation was successful in modifying behaviors when applied to a high-risk population in great need of improving Pap test adherence. Conclusions: In populations characterized by recognized cultural barriers contributing to low adherence, the pathways model may improve chronic disease outcomes. This model emphasizes a high degree of immersion within a culture and community as vehicles to improve patient behavior and address inequities. Central features are concordant with current concepts in guidelines, scientific statements, manuals, and advisories concerning the conduct of community-based research and social determinants of health. The pathways model deserves consideration for use in other chronic illnesses, such as cardiometabolic disease.

Local Retail Tobacco Environment Regulation: Early Adoption in the United States

Objectives

To identify sociodemographic and policy environment characteristics of early adopters of retail tobacco control policies in U.S. localities.

Methods

We interviewed a sample of local tobacco control programs on policy progress for 33 specific policies, along with other program characteristics. We combine these results with secondary data in logistic regression analysis.

Results

Eighty (82% of 97) county tobacco control programs from 24 states were interviewed. Localities with lower smoking rates (OR: 0.7; 95%: 0.6-0.9) or higher excise taxes (OR: 6.0; 95%: 1.4-26.0) were more likely to have adopted a retail policy by late 2015. Early adopters were less likely to have voted majority Republican in the 2012 election (OR: 0.03; 95%: 0.00-0.34) or to have higher percentages of African American population (OR: 0.9; 95%: 0.8-0.99).

Conclusions

While localities with more resources, eg, program capacity, political will or policy options, were more likely to adopt policies by 2015, those with higher smoking rates and proportions of priority populations were less likely to do so. As local retail policy work becomes more commonplace, only time will tell if this "rich-get-richer" trend continues, or if the contexts in which retail policies are adopted diversify.

Identifying Spatial Variation Along the HIV Care Continuum: The Role of Distance to Care on Retention and Viral Suppression

Distance to HIV care may be associated with retention in care (RIC) and viral suppression (VS). RIC (≥ 2 HIV visits or labs ≥ 90 days apart in 12 months), prescribed antiretroviral therapy (ART), VS (< 200 copies/mL at last visit) and distance to care were estimated among 3623 DC Cohort participants receiving HIV care in 13 outpatient clinics in Washington, DC in 2015. Logistic regression models and geospatial statistics were computed. RIC was 73%; 97% were on ART, among whom 77% had VS. ZIP code-level clusters of low RIC and high VS were found in Northwest DC, and low VS in Southeast DC. Those traveling ≥ 5 miles had 30% lower RIC (adjusted odds ratio (aOR) 0.71, 95% CI 0.58, 0.86) and lower VS (OR 0.70, 95% CI 0.52, 0.94). Geospatial clustering of RIC and VS was observed, and distance may be a barrier to optimal HIV care outcomes.

Cultural primer for cardiometabolic health: health disparities, structural factors, community, pathways to improvement, and clinical applications

The quest to optimize cardiometabolic health has created great interest in nonmedical health variables in the population, community-based research and coordination, and addressing social, ethnic, and cultural barriers. All of these may be of equal or even greater importance than classical health care delivery in achieving individual well-being. One dominant issue is health disparity - causes, methods of reduction, and community versus other levels of solutions. This communication summarizes some major views regarding social structures, followed by amplification and synthesis of central ideas in the literature. The role of community involvement, tools, and partnerships is also presented in this Primer. Recent views of how these approaches could be incorporated into cardiometabolic initiatives and strategies follow, with implications for research. Two examples comparing selected aspects of community leverage and interventions in relation to individual approaches to health care equity are examined in depth: overall performance in reducing cardiovascular risk and mortality, and the recent National Diabetes Prevention Program, both touching upon healthy diets and adherence. Finally, the potential that precision medicine offers, and possible effects on disparities are also discussed.

Standard measures for sickle cell disease research: the PhenX Toolkit sickle cell disease collections

Standard measures and common data elements for sickle cell disease (SCD) will improve the data quality and comparability necessary for cross-study analyses and the development of guidelines that support effective treatments and interventions. In 2014, the National Institutes of Health, National Heart, Lung, and Blood Institute (NHLBI) funded an Administrative Supplement to the PhenX Toolkit (consensus measures for Phenotypes and eXposures; https://www.phenxtoolkit.org/) to identify common measures to promote data comparability across SCD research. An 11-member Sickle Cell Disease Research and Scientific Panel provided guidance to the project, establishing a core collection of SCD-related measures and defining the scope of 2 specialty collections: (1) cardiovascular, pulmonary, and renal complications, and (2) neurology, quality-of-life, and health services. For each specialty collection, a working group of SCD experts selected high-priority measures using a consensus process that included scientific community input. The SCD measures were released into the Toolkit in August 2015. The 25 measures included in the core collection are recommended for use by all NHLBI-funded investigators performing human-subject SCD research. The 10 neurology, quality-of-life, and health services measures and 14 cardiovascular, pulmonary, and renal measures are recommended for use within these specialized research areas. For SCD and other researchers, PhenX measures will promote collaborations with clinicians and patients, facilitate cross-study analysis, accelerate translational research, and lead to greater understanding of SCD phenotypes and epigenetics. For clinicians, using PhenX measures will help elucidate the etiology, progression, and treatment of SCD, leading to improved patient care and quality of life.

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Zusammenfassung. Trotz aller Kontroversen ist die Empfehlung der Kontrolle der Zufuhr an gesättigten Fetten und Cholesterin bei gleichzeitiger Optimierung der Zufuhr an einfach- und mehrfach ungesättigten Fetten immer noch gültig, sollte aber nicht unabhängig von anderen beeinflussbaren Determinanten betrachtet werden. Diese Empfehlungen können am einfachsten durch Beachtung des gesamten Essmusters erreicht werden, das eigentlich einem semi-vegetarischen Essmuster mit geringer Energiedichte entspricht. Es gilt, regelmässig alle Komponenten des «Foodoms» mit der Ernährung aufzunehmen.