scholarly journals Disparities in social determinants of health outcomes and behaviours between older adults in Alaska and the contiguous US: evidence from a national survey

2018 ◽  
Vol 78 (1) ◽  
pp. 1557980
Author(s):  
Steven A. Cohen ◽  
Ana X. Talamas ◽  
Natalie J. Sabik
Author(s):  
Pietro Renzi ◽  
Alberto Franci

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.


Circulation ◽  
2020 ◽  
Vol 141 (10) ◽  
Author(s):  
Robert A. Harrington ◽  
Robert M. Califf ◽  
Appathurai Balamurugan ◽  
Nancy Brown ◽  
Regina M. Benjamin ◽  
...  

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.


Vaccine ◽  
2020 ◽  
Vol 38 (35) ◽  
pp. 5607-5617 ◽  
Author(s):  
Justin Gatwood ◽  
Sohul Shuvo ◽  
Kenneth C. Hohmeier ◽  
Tracy Hagemann ◽  
Chi-Yang Chiu ◽  
...  

Author(s):  
Holley A. Wilkin

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.


2018 ◽  
Vol 25 (8) ◽  
pp. 1109-1110
Author(s):  
Jessica S Ancker ◽  
Min-Hyung Kim ◽  
Yiye Zhang ◽  
Yongkang Zhang ◽  
Jyotishman Pathak

2021 ◽  
Vol 9 ◽  
Author(s):  
Monica R. Perracini ◽  
Juleimar Soares Coelho de Amorim ◽  
Camila Astolphi Lima ◽  
Alexandre da Silva ◽  
Francis Trombini-Souza ◽  
...  

Background: The COVID-19 pandemic hit Brazil in a scenario of substantial socioeconomic and health inequalities. It is unknown the immediate impact of social restriction recommendations (i.e., lockdown, stay-at-home) on the life-space mobility of older people.Objective: To investigate the immediate impact of COVID-19 pandemic on life-space mobility of community-dwelling Brazilian older adults and examine the social determinants of health associated with change in life-space mobility.Design: Baseline data from a prospective cohort study (REMOBILIZE Study).Setting: Community.Subject: A convenience snowball sample of participants aged 60 and older (n = 1,482) living in 22 states in Brazil.Methods: We conducted an online and phone survey using an adapted version of the Life-Space Assessment (LSA). Linear regression models were used to investigate social determinants of health on the change in LSA score.Results: Regardless of their gender and social determinants of health, participants showed a significant reduction in life-space mobility since COVID-19 pandemic outbreak. Life-space mobility reduction was higher among black individuals, those living alone and aged between 70 and 79. Other variables associated with change in life-space mobility, to a lesser extent, were sex, education and income.Conclusion: Social restriction measures due to pandemic caused substantial reduction in older adults' life-space mobility in Brazil. Social inequalities strongly affected vulnerable groups. Concerted actions should be put in place to overcome the deterioration in life-pace mobility amongst these groups. Failure in minimizing health inequalities amplified by the pandemic may jeopardize the desired achievements of the Decade of Healthy Aging.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 164-164
Author(s):  
Yongjing Ping ◽  
Chenkai Wu ◽  
Michelle Odden ◽  
Robert Stawski ◽  
Hoda Magid

Abstract The interrelatedness between social determinants of health impedes researchers to identify important social factors for health investment. Since the older population had highly diverse social backgrounds, a new approach is needed to quantify the aggregate effect of social factors and develop person-centered social interventions. Participants ([n = 7383], 54.5% female) were aged 65 years or above who complete an additional psychosocial questionnaire in the Health and Retirement Study (HRS) at study entry in 2006 or 2008. Social determinants of health encompassing five social domains: economic stability, neighborhood and physical environment, education, community and social context, and health care system. Five-year mortality was calculated as the number of years from the interview date to the death date. We used the forward stepwise logistic regression to construct the polysocial score and multivariate logistic regressions to assess the associations between polysocial score and five-year mortality. Polysocial score (range: 7 to 59, mean±SD: 35.5±7.5) was created using 15 social determinants of health. Of the 7383 participants, 491 (30.8%), 599 (17.2%), and 166 (7.8%) deaths occurred over five years among participants with a low (0-29), intermediate (30-39), and high (40+) polysocial score, respectively. Participants with an intermediate (Odds Ratio [OR]=0.76; 95% CI, 0.65-0.89) or high (OR=0.46; 95% CI, 0.36-0.59) polysocial score had higher odds of death than those in the low category in the fully adjusted model, respectively. The polysocial approach may offer possible solutions to monitor social environments and suggestions for older adults to improve their social status for specific health outcomes.


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