scholarly journals Neighborhood-level Asian American Populations, Social Determinants of Health, and Health Outcomes in 500 US Cities

2021 ◽  
Vol 31 (3) ◽  
pp. 433-444
Author(s):  
Ben R. Spoer ◽  
Filippa Juul ◽  
Pei Yang Hsieh ◽  
Lorna E. Thorpe ◽  
Marc N. Gourevitch ◽  
...  
Keyword(s):  
Health Outcome ◽  
Health Outcomes ◽  
Social Determinants Of Health ◽  
Geographic Distribution ◽  
Social Determinants ◽  
Asian American ◽  
The City ◽  
Us Cities ◽  
Racial Ethnic ◽  
Neighborhood Level

Introduction: The US Asian American (AA) population is projected to double by 2050, reaching ~43 million, and currently resides primarily in urban areas. Despite this, the geographic distribution of AA subgroup populations in US cities is not well-characterized, and social determinants of health (SDH) and health measures in places with significant AA/AA subgroup populations have not been described. Our research aimed to: 1) map the geographic distribution of AAs and AA subgroups at the city- and neighborhood- (census tract) level in 500 large US cities (population ≥66,000); 2) characterize SDH and health outcomes in places with significant AA or AA subgroup populations; and 3) compare SDH and health outcomes in places with significant AA or AA subgroup populations to SDH and health outcomes in places with significant non-Hispanic White (NHW) populations.Methods: Maps were generated using 2019 Census 5-year estimates. SDH and health outcome data were obtained from the City Health Dashboard, a free online data platform providing more than 35 measures of health and health drivers at the city and neighborhood level. T-tests compared SDH (unemployment, high-school completion, childhood poverty, income inequality, racial/ ethnic segregation, racial/ethnic diversity, percent uninsured) and health outcomes (obesity, frequent mental distress, cardiovas­cular disease mortality, life expectancy) in cities/neighborhoods with significant AA/AA subgroup populations to SDH and health outcomes in cities/neighborhoods with sig­nificant NHW populations (significant was defined as top population proportion quin­tile). We analyzed AA subgroups including Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, and Other AA.Results: The count and proportion of AA/ AA subgroup populations varied sub­stantially across and within cities. When comparing cities with significant AA/AA subgroup populations vs NHW populations, there were few meaningful differences in SDH and health outcomes. However, when comparing neighborhoods within cities, areas with significant AA/AA subgroup vs NHW populations had less favorable SDH and health outcomes.Conclusion: When comparing places with significant AA vs NHW populations, city-level data obscured substantial variation in neighborhood-level SDH and health outcome measures. Our findings empha­size the dual importance of granular spatial and AA subgroup data in assessing the influence of SDH in AA populations.Ethn Dis. 2021;31(3):433-444; doi:10.18865/ed.31.3.433

scholarly journals Discapacidad y Determinantes Sociales de la Salud Estructurales e Intermedios: Diferencias por Género

2014 ◽  
Author(s):  
Consuelo V ◽  
Jos Armando Vidarte Claros
Keyword(s):  
Gender Differences ◽  
Social Security ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Determinants Of Health ◽  
The Social ◽  
Full Participation ◽  
Low Levels ◽  
The City ◽  
Monthly Salary

Objetivo: Establecer los determinantes sociales de la salud estructurales e intermedios y su relación con la discapacidad en la ciudad de Barranquilla, apartir del análisis de las diferencias por género. Materiales y métodos: Estudio descriptivo correlacional, con 726 registros de la base de datos a 2011.Se utilizó el Registro DANE de personas con discapacidad, que fue sistematizado en el programa SPSS Versión 19.0. Resultados: Se encontrarondiferencias estadísticamente significativas (p < 0,05) y niveles de dependencia baja relacionadas con tipo de afiliación a la seguridad social, la raza, eltrabajo desempeñado y el salario mensual. Conclusiones: Existen diferencias por género en algunos determinantes sociales de la salud. Además, ladiscapacidad se hace evidente cuando la persona encuentra o presenta restricciones que le impiden su plena participación en la sociedad. ABSTRACTObjective:To establish the social determinants of health and intermediate structural and Disability in the city of Barranquilla, analyzing genderdifferences. Materials and Methods: A descriptive correlational study with 726 records database to 2011, the Registry was used DANE people withdisabilities was systematized in the SPSS version 19.0 program. Results: Statistically significant differences p < 0.05 and low levels of dependenceaffiliation to social security, race, work performed and met monthly salary. Conclusions: There are gender differences in some social Determinants ofHealth, disability is also evident when the person is or has restrictions that prevent their full participation in society.

scholarly journals Frameworks and inequalities in healthcare: some applications

2021 ◽  
pp. 115-120
Author(s):  
Pietro Renzi ◽  
Alberto Franci
Keyword(s):  
Health Outcomes ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Social Inequalities ◽  
Economic Status ◽  
Determinants Of Health ◽  
Health Determinants ◽  
Quadrant Analysis ◽  
Inequality Measures ◽  
Health Objectives

Background Social determinants of health (SDOH) have increasingly entered health policy conversations as a growing body of researches, reveal the direct relationship between social determinants and health outcome. In fact, the recent literature is moving from the traditional model that focus on how health affects economic status, to a new view that economic status affects health. Objectives To investigate the principal conceptual frameworks for action on social determinants of health. Another aim is to contribute on the ongoing discourse on feasible measures which could be used to alert regions to inequalities in the distribution of health. Methodology, Italian data are used as a demonstration. Quadrant charts illustrate associations between how much regions spend on health and how effectively health system functions. The relevant inequality measures are used to rank health inequalities. Main results Frameworks have been presented to help communities, health professionals and others begin to better understand and address a variety of factors that affects health. Quadrant analysis technique shows the extent to which spending more on health, translates into better health outcomes, higher quality of care and improve access to care across the Italian regions, whilst also recognition the importance of major risk factors. Conclusions The social inequalities in health and what this means for how we understand and reduce them, as not to date been compressively examined empirically. There is an urgent need to expand our knowledge with comparable data on health determinants and more refined health outcomes. Furthermore, there is a need for feasible inequality measures in the health information systems. The measures used in this study, provide a step to inform and guide the uptake of equity-sensitive policies.

scholarly journals Call to Action: Rural Health: A Presidential Advisory From the American Heart Association and American Stroke Association

Circulation ◽  
2020 ◽  
Vol 141 (10) ◽  
Author(s):  
Robert A. Harrington ◽  
Robert M. Califf ◽  
Appathurai Balamurugan ◽  
Nancy Brown ◽  
Regina M. Benjamin ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Social Determinants Of Health ◽  
Rural Health ◽  
Social Determinants ◽  
American Heart Association ◽  
American Heart ◽  
Heart Association ◽  
Determinants Of Health ◽  
Rural Populations ◽  
Call To Action

Understanding and addressing the unique health needs of people residing in rural America is critical to the American Heart Association’s pursuit of a world with longer, healthier lives. Improving the health of rural populations is consistent with the American Heart Association’s commitment to health equity and its focus on social determinants of health to reduce and ideally to eliminate health disparities. This presidential advisory serves as a call to action for the American Heart Association and other stakeholders to make rural populations a priority in programming, research, and policy. This advisory first summarizes existing data on rural populations, communities, and health outcomes; explores 3 major groups of factors underlying urban-rural disparities in health outcomes, including individual factors, social determinants of health, and health delivery system factors; and then proposes a set of solutions spanning health system innovation, policy, and research aimed at improving rural health.

Neighborhood Considerations for Social Determinants of Health and Risk

2017 ◽  
Author(s):  
Holley A. Wilkin
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Health Outcomes ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Determinants Of Health ◽  
Communication Infrastructure ◽  
The Social ◽  
Action Context ◽  
Communication Infrastructure Theory

When it comes to health and risk, “place” matters. People who live in lower-income neighborhoods are disproportionately affected by obesity and obesity-related diseases like heart disease, hypertension, and diabetes; asthma; cancers; mental health issues; etc., compared to those that live in higher-income communities. Contributing to these disparities are individual-level factors (e.g., education level, health literacy, healthcare access) and neighborhood-level factors such as the socioeconomic characteristics of the neighborhood; crime, violence, and social disorder; the built environment; and the presence or absence of health-enhancing and health-compromising resources. Social determinants of health—for example, social support, social networks, and social capital—may improve or further complicate health outcomes in low-income neighborhoods. Social support is a type of transaction between two or more people intended to help the recipient in some fashion. For instance, a person can help provide someone who is grieving or dealing with a newly diagnosed health issue by providing emotional support. Informational support may be provided to someone trying to diagnose, manage, and/or treat a health problem. Instrumental support may come in the help of making meals for someone who is ill, running errands for them, or taking them to a doctor’s appointment. Unfortunately, those who may have chronic diseases and require a lot of support or who otherwise do not feel able to provide support may not seek it due to the expectation of reciprocity. Neighborhood features can enable or constrain people from developing social networks that can help provide social support when needed. There are different types of social networks: some can enhance health outcomes, while others may have a more limiting or even a detrimental effect on health. Social capital results in the creation of resources that may or may not improve health outcomes. Communication infrastructure theory offers an opportunity to create theoretically grounded health interventions that consider the social and neighborhood characteristics that influence health outcomes. The theory states that every neighborhood has a communication infrastructure that consists of a neighborhood storytelling network—which includes elements similar to the social determinants of health—embedded in a communication action context that enables or constrains neighborhood storytelling. People who are more engaged in their neighborhood storytelling networks are in a better position to reduce health disparities—for example, to fight to keep clinics open or to clean up environmental waste. The communication action context features are similar to the neighborhood characteristics that influence health outcomes. Communication infrastructure theory may be useful in interventions to address neighborhood health and risk.

scholarly journals The potential value of social determinants of health in predicting health outcomes

2018 ◽  
Vol 25 (8) ◽  
pp. 1109-1110
Author(s):  
Jessica S Ancker ◽  
Min-Hyung Kim ◽  
Yiye Zhang ◽  
Yongkang Zhang ◽  
Jyotishman Pathak
Keyword(s):  
Health Outcomes ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Determinants Of Health ◽  
Potential Value

scholarly journals Food access initiatives: An integral piece of the Revere, Massachusetts, COVID-19 response

2021 ◽  
pp. 1-6
Author(s):  
Molly Babbin ◽  
Rachel Zack ◽  
Jean Granick ◽  
Kathleen Betts
Keyword(s):  
Health Care ◽  
Food Insecurity ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Food Access ◽  
Community Health Care ◽  
Healthy Foods ◽  
The Social ◽  
The City ◽  
Community Health Care System

Cambridge Health Alliance (CHA) is a community health care system that serves the region north of Boston, including the city of Revere, Massachu­setts. In an effort to confront the root causes of poor health, CHA has engaged in an initiative to address the social determinants of health, including food insecurity, homelessness, and unemployment. In 2017, we learned that 51% of our patients in Revere screened positive for food insecurity. In response, we committed to increasing our patients’ access to healthy foods.

scholarly journals Trends in Cardiovascular Disease by Asian American, Native Hawaiian, and Pacific Islander Ethnicity, Medicare Health Outcomes Survey 2011–2015

2021 ◽  
Author(s):  
Lan N Đoàn ◽  
Yumie Takata ◽  
Karen Hooker ◽  
Carolyn Mendez-Luck ◽  
Veronica L Irvin
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Health Outcomes ◽  
Asian American ◽  
Native Hawaiian ◽  
Pacific Islander ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
White Adults ◽  
Racial Ethnic

Abstract Background The burden of cardiovascular disease (CVD) is increasing in the aging population. However, little is known about CVD risk factors and outcomes for Asian American, Native Hawaiian, and Other Pacific Islander (NH/PI) older adults by disaggregated subgroups. Methods Data were from the Centers for Medicare and Medicaid Services 2011–2015 Health Outcomes Survey, which started collecting expanded racial/ethnic data in 2011. Guided by Andersen and Newman’s theoretical framework, multivariable logistic regression analyses were conducted to examine the prevalence and determinants of CVD risk factors (obesity, diabetes, smoking status, hypertension) and CVD conditions (coronary artery disease [CAD], congestive heart failure [CHF], myocardial infarction [MI], other heart conditions, stroke) for 10 Asian American and NH/PI subgroups and White adults. Results Among the 639 862 respondents, including 26 853 Asian American and 4 926 NH/PI adults, 13% reported CAD, 7% reported CHF, 10% reported MI, 22% reported other heart conditions, and 7% reported stroke. CVD risk factors varied by Asian American and NH/PI subgroup. The prevalence of overweight, obesity, diabetes, and hypertension was higher among most Asian American and NH/PI subgroups than White adults. After adjustment, Native Hawaiians had significantly greater odds of reporting stroke than White adults. Conclusions More attention should focus on NH/PIs as a priority population based on the disproportionate burden of CVD risk factors compared with their White and Asian American counterparts. Future research should disaggregate racial/ethnic data to provide accurate depictions of CVD and investigate the development of CVD risk factors in Asian Americans and NH/PIs over the life course.

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