Health inequalities, which have been well documented for decades, have more recently become policy targets in developed countries. This review describes time trends in health inequalities (by sex, race/ethnicity, and socioeconomic status), commitments to reduce health inequalities, and progress made to eliminate health inequalities in the United States, United Kingdom, and other OECD countries. Time-trend data in the United States indicate a narrowing of the gap between the best- and worst-off groups in some health indicators, such as life expectancy, but a widening of the gap in others, such as diabetes prevalence. Similarly, time-trend data in the United Kingdom indicate a narrowing of the gap between the best- and worst-off groups in some indicators, such as hypertension prevalence, whereas the gap between social classes has increased for life expectancy. More research and better methods are needed to measure precisely the relationships between stated policy goals and observed trends in health inequalities.
Obesity rates in the U.S. are associated with area-level, food-related characteristics. Studies have previously examined the role of structural racism (policies/practices that advantaged White Americans and deprived other racial/ethnic minority groups), but racial inequalities in socioeconomic status (SES) is a novel indicator. The aim of this study is to determine the associations between racial inequalities in SES with obesity and obesogenic environments. Data from 2007–2014 County Health Rankings and 2012–2016 County Business Patterns were combined to assess the associations between relative SES comparing Blacks to Whites with obesity, and number of grocery stores and fast food restaurants in U.S. counties. Random effects linear and Poisson regressions were used and stratified by county racial composition. Racial inequality in poverty, unemployment, and homeownership were associated with higher obesity rates. Racial inequality in median income, college graduates, and unemployment were associated with fewer grocery stores and more fast food restaurants. Associations varied by county racial composition. The results demonstrate that a novel indicator of structural racism on the county-level is associated with obesity and obesogenic environments. Associations vary by SES measure and county racial composition, suggesting the ability for targeted interventions to improve obesogenic environments and policies to eliminate racial inequalities in SES.
BACKGROUND
Social support is an important determinant of health, yet understanding of its contribution to racial disparities in hypertension is limited. Many studies have focused on the relationship between hypertension and social support, or race/ethnicity and social support, but few have examined the inter-relationship between race/ethnicity, social support, and hypertension. The objective of this study was to determine whether the relationship between race/ethnicity and hypertension varied by level of social support.
METHODS
Data from the National Health and Nutrition Examination Survey (NHANES) 2001–2006 were used to calculate the odds ratios (ORs) for the association between hypertension and race/ethnicity by levels of social support. Hypertension was defined as systolic blood pressure (BP) ≥140 mm Hg and/or diastolic BP ≥ 90 mm Hg or having been prescribed antihypertensive medication. Social support was defined by emotional and financial support, and marital status.
RESULTS
Black/white ORs of hypertension increased as social support decreased; that is, the race difference among those without social support was larger compared to those with social support. Contrarily, Mexican American/white ethnic differences were only observed among those with social support; Mexican Americans with social support had lower odds of hypertension than their white counterparts.
CONCLUSIONS
This study observed that the relationship between race (but not ethnicity) and hypertension varies by social support level. Results suggest there may be beneficial effects of social support on hypertension among blacks, however, the possible impact of social support on ethnic differences in hypertension remains unclear.
The weathering hypothesis, an explanation for race disparities in the USA, asserts that the health of African Americans begin to deteriorate prematurely compared to whites as a consequence of long-term exposure to social and environmental risk factors. Using data from 2000-2009 National Health Interview Surveys (NHIS), we sought to describe differences in age-related health outcomes in 619,130 African Americans and whites. Outcome measures included hypertension, diabetes, stroke, and cardiovascular disease. Using a mixed models approach to age-period-cohort analysis, we calculated age- and race-specific prevalence rates that accounted for the complex sampling design of NHIS. African Americans exhibited higher prevalence rates of hypertension, diabetes, and stroke than whites across all age groups. Consistent with the weathering hypothesis, African Americans exhibited equivalent prevalence rates for these three conditions 10 years earlier than whites. This suggests that African Americans are acquiring age-related conditions prematurely compared to whites.
Background
Disparities in health among blacks and Hispanics compared to whites individuals exist for a number of health measures; however, the health profile of individuals who are both black and Hispanic is not well known. We sought to determine whether race and ethnicity have synchronous or independent effects on health-related outcomes.
Methods
We combined the National Health Interview Survey for 2000–2007 to identify 896 black Hispanics. We selected health-related outcomes where white Hispanics and non-Hispanic blacks significantly differed. We computed adjusted prevalence estimates for black Hispanics and compared them to determine whether their health-related outcomes more closely resemble white Hispanics or non-Hispanic blacks. All prevalence estimates were adjusted for age, sex, education, marital status, income and survey year.
Results
Black Hispanics’ health behaviours resembled white Hispanics or were similar to both white Hispanics and non-Hispanic blacks. For health services outcomes, they resembled non-Hispanic blacks. However, their health status was influenced by both race and ethnicity, with black Hispanics resembling both white Hispanic and non-Hispanic black people.
Conclusion
We conclude that health behaviour interventions incorporating knowledge of Hispanic cultures may be sufficient to reach black Hispanics. However, health services or health status, interventions targeted broadly to Hispanic people may not be sufficient. In some respects black Hispanic people comprise a distinct subgroup that may require targeted attention in public health interventions.
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