scholarly journals A County-Level Examination of the Relationship Between HIV and Social Determinants of Health: 40 States, 2006-2008

2012 ◽  
Vol 6 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Gant Z ◽  
Lomotey M ◽  
Hall H.I ◽  
Hu X ◽  
Guo X ◽  
...  

Background: Social determinants of health (SDH) are the social and physical factors that can influence unhealthy or risky behavior. Social determinants of health can affect the chances of acquiring an infectious disease – such as HIV – through behavioral influences and limited preventative and healthcare access. We analyzed the relationship between social determinants of health and HIV diagnosis rates to better understand the disparity in rates between different populations in the United States. Methods: Using National HIV Surveillance data and American Community Survey data at the county level, we examined the relationships between social determinants of health variables (e.g., proportion of whites, income inequality) and HIV diagnosis rates (averaged for 2006-2008) among adults and adolescents from 40 states with mature name-based HIV surveillance. Results: Analysis of data from 1,560 counties showed a significant, positive correlation between HIV diagnosis rates and income inequality (Pearson correlation coefficient ρ = 0.40) and proportion unmarried – ages >15 (ρ = 0.52). There was a significant, negative correlation between proportion of whites and rates (ρ = -0.67). Correlations were low between racespecific social determinants of health indicators and rates. Conclusions/Implications: Overall, HIV diagnosis rates increased as income inequality and the proportion unmarried increased, and rates decreased as proportion of whites increased. The data reflect the higher HIV prevalence among non-whites. Although statistical correlations were moderate, identifying and understanding these social determinants of health variables can help target prevention efforts to aid in reducing HIV diagnosis rates. Future analyses need to determine whether the higher proportion of singles reflects higher populations of gay and bisexual men.

Author(s):  
Hamed Seddighi ◽  
Mir-Taher Mousavi

Introduction: Education and income inequality are two important social determinants of health inequality. Every society for improving health status should focus on income equality and education for all. A review of the current situation helps to identify and improve the weaknesses in Iran.  Methods: This study was descriptive and data collection was done by documentary study method. This researchtried to study various global databases, papers and global reports to search the status of Iran in comparison to other countries in different regions. Result: Studies have shown that inequality in income and wealth. Although the situation in Iran is better than the Persian Gulf countries, more inequality is observed in Iran in comparison to other parts of the world, including the United States and Western Europe. In terms of health, among the fifty major causes of death, Iran is ranked first and fourth in global terms due to road accidents and illicit drug use. At the same time, mortality from liver cancer, skin cancer, epilepsy, cervical cancer, kidney cancer, and cancer are in good condition compared to other countries in the world. In the field of education, the state of Iran in primary education, the exclusion of children from primary education, the guarantee of equal access for women and men to higher education and the eradication of gender inequality in participating in education is in a better situation than other parts of the world, but has been weaker than many other countries in the number of preschool years and pre-school education. Conclusion: The status of Iran in income inequality and education showed challenges that should be improve. These two as social determinants of health inequalities have an enormous role in health status. Sustainable development goals can be a guideline for developing the current situation.


2021 ◽  
Vol 75 (6) ◽  
Author(s):  
Nuria Menéndez Álvarez ◽  
Emiliano Diez Villoria ◽  
Estíbaliz Jimenez Arberas ◽  
Ana María Castaño Pérez ◽  
Antonio León García Izquierdo

Importance: For the first time in recent history, people worldwide have faced severe restrictions in occupations because of the measures adopted by governments to contain the coronavirus disease 2019 (COVID-19) crisis. Objective: To determine the limitations on participation of occupational therapists and occupational therapy students during “lockdown” and their impact on social determinants of health. Design: A cross-sectional, descriptive study conducted via an online survey. Participants: A total of 488 occupational therapists and occupational therapy students in North America, South America, and Europe. Outcomes and Measures: A questionnaire consisting of the World Health Organization Disability Assessment Schedule 2.0 of the International Classification of Functioning, Disability and Health and items developed to assess the impact of lockdown on daily life was emailed to occupational therapy professional associations, organizations, and universities between April and June 2020. It was available in English, Spanish, and Portuguese and met all the parameters listed in the Declaration of Helsinki. Results: The roles and routines of people across the developed world have been affected by lockdown measures. The study shows marked differences between participants in the domains of getting along and life activities, as well as influence on the environment. Moreover, South American participants experienced these difficulties to a greater extent than European participants. Conclusions and Relevance: This study quantifies the limitations in the participation of occupational therapists and occupational therapy students and the relationship of occupation to social determinants of health. What This Article Adds: The results of this research corroborate the relationship between health and occupation and highlight elements, such as the environment and context, that are important in occupational therapy. Therapists’ ability to analyze occupation in relation to contextual and cultural factors will benefit clients.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Randhir Sagar Yadav ◽  
Durgesh Chaudhary ◽  
Shima Shahjouei ◽  
Jiang Li ◽  
Vida Abedi ◽  
...  

Introduction: Stroke hospitalization and mortality are influenced by various social determinants. This ecological study aimed to determine the associations between social determinants and stroke hospitalization and outcome at county-level in the United States. Methods: County-level data were recorded from the Centers for Disease Control and Prevention as of January 7, 2020. We considered four outcomes: all-age (1) Ischemic and (2) Hemorrhagic stroke Death rates per 100,000 individuals (ID and HD respectively), and (3) Ischemic and (4) Hemorrhagic stroke Hospitalization rate per 1,000 Medicare beneficiaries (IH and HH respectively). Results: Data of 3,225 counties showed IH (12.5 ± 3.4) and ID (22.2 ± 5.1) were more frequent than HH (2.0 ± 0.4) and HD (9.8 ± 2.1). Income inequality as expressed by Gini Index was found to be 44.6% ± 3.6% and unemployment rate was 4.3% ± 1.5%. Only 29.8% of the counties had at least one hospital with neurological services. The uninsured rate was 11.0% ± 4.7% and people living within half a mile of a park was only 18.7% ± 17.6%. Age-adjusted obesity rate was 32.0% ± 4.5%. In regression models, age-adjusted obesity (OR for IH: 1.11; HH: 1.04) and number of hospitals with neurological services (IH: 1.40; HH: 1.50) showed an association with IH and HH. Age-adjusted obesity (ID: 1.16; HD: 1.11), unemployment (ID: 1.21; HD: 1.18) and income inequality (ID: 1.09; HD: 1.11) showed an association with ID and HD. Park access showed inverse associations with all four outcomes. Additionally, population per primary-care physician was associated with HH while number of pharmacy and uninsured rate were associated with ID. All associations and OR had p ≤0.04. Conclusion: Unemployment and income inequality are significantly associated with increased stroke mortality rates.


Author(s):  
Macarius M. Donneyong ◽  
Teng-Jen Chang ◽  
John W. Jackson ◽  
Michael A. Langston ◽  
Paul D. Juarez ◽  
...  

Background: Non-adherence to antihypertensive medication treatment (AHM) is a complex health behavior with determinants that extend beyond the individual patient. The structural and social determinants of health (SDH) that predispose populations to ill health and unhealthy behaviors could be potential barriers to long-term adherence to AHM. However, the role of SDH in AHM non-adherence has been understudied. Therefore, we aimed to define and identify the SDH factors associated with non-adherence to AHM and to quantify the variation in county-level non-adherence to AHM explained by these factors. Methods: Two cross-sectional datasets, the Centers for Disease Control and Prevention (CDC) Atlas of Heart Disease and Stroke (2014–2016 cycle) and the 2016 County Health Rankings (CHR), were linked to create an analytic dataset. Contextual SDH variables were extracted from the CDC-CHR linked dataset. County-level prevalence of AHM non-adherence, based on Medicare fee-for-service beneficiaries’ claims data, was extracted from the CDC Atlas dataset. The CDC measured AHM non-adherence as the proportion of days covered (PDC) with AHM during a 365 day period for Medicare Part D beneficiaries and aggregated these measures at the county level. We applied confirmatory factor analysis (CFA) to identify the constructs of social determinants of AHM non-adherence. AHM non-adherence variation and its social determinants were measured with structural equation models. Results: Among 3000 counties in the U.S., the weighted mean prevalence of AHM non-adherence (PDC < 80%) in 2015 was 25.0%, with a standard deviation (SD) of 18.8%. AHM non-adherence was directly associated with poverty/food insecurity (β = 0.31, P-value < 0.001) and weak social supports (β = 0.27, P-value < 0.001), but inversely with healthy built environment (β = −0.10, P-value = 0.02). These three constructs explained one-third (R2 = 30.0%) of the variation in county-level AHM non-adherence. Conclusion: AHM non-adherence varies by geographical location, one-third of which is explained by contextual SDH factors including poverty/food insecurity, weak social supports and healthy built environments.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Fiona Haigh ◽  
Lynn Kemp ◽  
Patricia Bazeley ◽  
Neil Haigh

Abstract Background That there is a relationship between human rights and health is well established and frequently discussed. However, actions intended to take account of the relationship between human rights and social determinants of health have often been limited by lack of clarity and ambiguity concerning how these rights and determinants may interact and affect each other. It is difficult to know what to do when you do not understand how things work. As our own understanding of this consideration is founded on perspectives provided by the critical realist paradigm, we present an account of and commentary on our application of these perspectives in an investigation of this relationship. Findings We define the concept of paradigm and review critical realism and related implications for construction of knowledge concerning this relationship. Those implications include the need to theorise possible entities involved in the relationship together with their distinctive properties and consequential power to affect one another through exercise of their respective mechanisms (ways of working). This theorising work enabled us identify a complex, multi-layered assembly of entities involved in the relationship and some of the array of causal mechanisms that may be in play. These are presented in a summary framework. Conclusion Researchers’ views about the nature of knowledge and its construction inevitably influence their research aims, approaches and outcomes. We demonstrate that by attending to these views, which are founded in their paradigm positioning, researchers can make more progress in understanding the relationship between human rights and the social determinants of health, in particular when engaged in theorizing work. The same approaches could be drawn on when other significant relationships in health environments are investigated.


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