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Complex interrelationships between race, sex, obesity and depression have been well-documented. Because of differences in associations between socioeconomic status (SES) and health by race, determining the role of SES may help to further explicate these relationships. The aim of this study was to determine how race and income interact with obesity on depression. Combining data from the 2007-2014 National Health and Nutrition Examination Survey, depressive symptoms was measured with the Patient Health Questionnaire-9 and obesity was assessed as body mass index ≥30 kg/m 2 . Three-way interactions between race, income and obesity on depressive symptoms were determined using ordered regression models. Significant interactions between race, middle income and obesity (OR = 0.66, 95% CI = 0.22-1.96) suggested that, among white women, obesity is positively associated with depressive symptoms across income levels, while obesity was not associated with depression for African American women at any income level. Obesity was only associated with depressive symptoms among middle-income white men (OR = 1.44, 95% CI = 1.02-2.03) and among high-income African American men (OR = 4.65, 95% CI = 1.48-14.59). The associations between obesity and depressive symptoms vary greatly by race and income. Findings from this study underscore the importance of addressing obesity and depression among higher income African American men.

Racial disparities in obesity among men are accompanied by positive associations between income and obesity among Black men only. Race also moderates the positive association between marital status and obesity. This study sought to determine how race, income, and marital status interact on obesity among men. Using data from the 2007 to 2014 National Health and Nutrition Examination Survey, obesity was measured as body mass index ≥30 kg/m 2  among 6,145 Black and White men. Income was measured by percentage of the federal poverty line and marital status was categorized as currently, formerly, or never married. Using logistic regression and interaction terms, the associations between income and obesity were assessed by race and marital status categories adjusted for covariates. Black compared to White (OR = 1.19, 95% CI [1.03, 1.38]), currently married compared to never married (OR = 1.45, 95% CI [1.24, 1.69]), and high-income men compared to low income men (OR = 1.26, 95% CI [1.06, 1.50]) had higher odds of obesity. A three-way interaction was significant and analyses identified that income was positively associated with obesity among currently married Black men and never married White men with the highest and lowest probabilities of obesity, respectively. High-income, currently married Black men had higher obesity rates and may be at increased risk for obesity-related morbidities.

O besity 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 Recent years have seen increased interest in the role of neighborhood factors in chronic diseases such as cancers. Less is known about the role of neighborhood factors beyond individual demographics such as age or education. It is particularly important to examine neighborhood effects on health among African American men and women, considering the disproportionate impact of cancer on this group. This study evaluated the unique contribution of neighborhood characteristics (e.g., racial/ethnic diversity, income) beyond individual demographics, to cancer control behaviors in African American men and women. Methods Individual-level data were drawn from a national survey (N = 2,222). Participants’ home addresses were geocoded and merged with neighborhood data from the American Community Survey. Multi-level regressions examined the unique contribution of neighborhood characteristics beyond individual demographics, to a variety of cancer risk, prevention, and screening behaviors. Results Neighborhood racial/ethnic diversity, median income, and percentage of home ownership made modest significant contributions beyond individual factors, in particular to smoking status where these factors were associated with lower likelihood of smoking (ps < .05). Men living in neighborhoods with older residents, and greater income and home ownership were significantly more likely to report prostate specific antigen testing (ps < .05). Regional analyses suggested different neighborhood factors were associated with smoking status depending on the region. Conclusion Findings provide a more nuanced understanding of the interplay of social determinants of health and neighborhood social environment among African American men and women, with implications for cancer control interventions to eliminate cancer disparities.

Recent attention to the interrelationship between racism, socioeconomic status (SES) and health has led to a small, but growing literature of empirical work on the role of structural racism in population health. Area-level racial inequities in SES are an indicator of structural racism, and the associations between structural racism indicators and self-rated health are unknown. Further, because urban-rural differences have been observed in population health and are associated with different manifestations of structural racism, explicating the role of urban-rural classification is warranted. This study examined the associations between racial inequities in SES and self-rated health by county urban-rural classification. Using data from County Health Rankings and American Communities Surveys, black-white ratios of SES were regressed on rates of fair/poor health in U.S. counties. Racial inequities in homeownership were negatively associated with fair/poor health ( β  = −0.87, s.e. = 0.18), but racial inequities in unemployment were positively associated with fair/poor health ( β  = 0.03, s.e. = 0.01). The associations between structural racism and fair/poor health varied by county urban-rural classification. Potential mechanisms include the concentration of resources in racially segregated counties with high racial inequities that lead to better health outcomes, but are associated with extreme black SES disadvantage. Racial inequities in SES are a social justice imperative with implications for population health that can be targeted by urban-rural classification and other social contextual characteristics.

In the US, African Americans have a higher prevalence of hypertension than Whites. Previous studies show that social support contributes to the racial differences in hypertension but are limited in accounting for the social and environmental effects of racial residential segregation. We examined whether the association between race and hypertension varies by the level of social support among African Americans and Whites living in similar social and environmental conditions, specifically an urban, low-income, racially integrated community. Using data from the Exploring Health Disparities in Integrated Communities-Southwest Baltimore (EHDIC-SWB) sample, we hypothesized that social support moderates the relationship between race and hypertension and the racial difference in hypertension is smaller as the level of social support increases. Hypertension was defined as having systolic blood pressure greater than 140 mmHg and/or diastolic blood pressure greater than 90 mmHg, or the participant reports of taking antihypertensive medication(s). The study only included participants that self-reported as “Black/African American” or “White.” Social support was measured as functional social support and marital status. After adjusting for demographics and health-related characteristics, we found no interaction between social support and race (DUFSS score, prevalence ratio 1.00; 95% confidence interval 0.99, 1.01; marital status, prevalence ratio 1.02; 95% confidence interval 0.86, 1.21); thus the hypothesis was not supported. A plausible explanation is that the buffering factor of social support cannot overcome the social and environmental conditions which the participants live in. Further, these findings emphasize social and environmental conditions of participants in EHDIC-SWB may equally impact race and hypertension.

Racial health inequities are not fully explained by socioeconomic status (SES) measures like education, income and wealth. The largest inequities are observed among African American and white college graduates suggesting that African Americans do not receive the same health benefits of education. African Americans do not receive the same income and wealth returns of college education as their white counterparts indicating a racial non-equivalence of SES that may affect health inequities. The aim of this study is to determine whether racial non-equivalence of SES mediates race inequities in self-rated health by education and sex. Using data from the 2007–2016 National Health and Nutrition Examination Survey in the United States, the mediation of the associations between race and self-rated health through household income ≥400% federal poverty line, homeownership, and investment income were assessed among college graduates and non-college graduates by sex. Indirect associations were observed among college graduate women (odds = 0.08, standard error (s.e.) = 0.03), and non-college graduate men (odds = 0.14, s.e. = 0.02) and women (odds = 0.06, s.e. = 0.02). Direct associations between race and self-rated health remained after accounting for household income and wealth indicators suggesting that race differences in income and wealth partially mediate racial inequities in self-rated health. This study demonstrates that the racial non-equivalence of SES has implications for health inequities, but the magnitude of indirect associations varied by sex. Other factors like discrimination, health pessimism and segregation should be considered in light of the racial non-equivalence of SES and racial inequities in self-rated health.

Racial health inequities are not fully explained by socioeconomic status (SES) measures like education, income and wealth. The largest inequities are observed among African American and white college graduates suggesting that African Americans do not receive the same health benefits of education. African Americans do not receive the same income and wealth returns of college education as their white counterparts indicating a racial non-equivalence of SES that may affect health inequities. The aim of this study is to determine whether racial non-equivalence of SES mediates race inequities in self-rated health by education and sex. Using data from the 2007–2016 National Health and Nutrition Examination Survey in the United States, the mediation of the associations between race and self-rated health through household income ≥400% federal poverty line, homeownership, and investment income were assessed among college graduates and non-college graduates by sex. Indirect associations were observed among college graduate women (odds = 0.08, standard error (s.e.) = 0.03), and non-college graduate men (odds = 0.14, s.e. = 0.02) and women (odds = 0.06, s.e. = 0.02). Direct associations between race and self-rated health remained after accounting for household income and wealth indicators suggesting that race differences in income and wealth partially mediate racial inequities in self-rated health. This study demonstrates that the racial non-equivalence of SES has implications for health inequities, but the magnitude of indirect associations varied by sex. Other factors like discrimination, health pessimism and segregation should be considered in light of the racial non-equivalence of SES and racial inequities in self-rated health.

Background Few studies have investigated the consequences of caregiving on the objectively measured physiological health outcomes in China. This study used population-based longitudinal data to examine the association between parental caregiving and blood pressure among Chinese women. Method This is a retrospective analysis of 2586 women using five waves of data from the Ever-Married Women Survey component of the China Health and Nutrition Survey (2000, 2004, 2006, 2009, and 2011). We applied growth curve models to examine trajectories of systolic blood pressure (SBP) and diastolic blood pressure (DBP) associated with parental caregiving among women in China. Results In multivariable analyses of blood pressure trajectories adjusting for potential confounders, parental caregivers had higher systolic (β-coefficient (β) = 1.16; p ≤ 0.01) and diastolic blood pressure (β = 0.75; p ≤ 0.01) compared with non-caregivers across multiple waves. Caregivers and non-caregivers had similar levels of systolic blood pressure at baseline, but caregivers exhibited relatively higher growth rate over time. Diastolic blood pressure was much higher among caregivers at the baseline measure, and across time relative to non-caregivers. Moreover, low-intensity but not high-intensity caregivers showed higher growth rate compared with non-caregivers for both SBP and DBP. Discussion Our results demonstrate the negative cardiovascular consequences of parental caregiving among Chinese women. Findings from the study can be used to develop future stress management interventions to decrease hypertension risk within women who provide care to their parents.

Purpose: Reproductive autonomy is associated with educational attainment, advanced employment, and wellbeing. While U.S. Latinas use contraception to control their own childbearing and have reported a desire to do so, they often use it inconsistently and have the lowest rates of contraceptive use of any group. Reasons previously cited for why Latinas do not use contraception compared with non-Latino white women include lack of access, lack of knowledge, language barriers, emphasis on large families, machismo, and religiosity. These reasons are often overly simplistic and can lead to widespread generalizations about Latinas. Methods: Using focus groups and semistructured interviews from November 2014 through June 2015, this study describes the family planning perspectives and experiences of 16 Latinas living in Baltimore and recruited from two federally qualified health centers. A social determinant of health framework was used to guide identification of important concepts and explain findings. Results: Results demonstrated that respondents reported contraceptive agency and claimed autonomy over their bodies; described a sense of responsibility and often expressed caution about having families too large to care for; expressed educational and career aspirations; and perceived contraception as critical for the postponement of childbearing to achieve their goals. Conclusion: The patient/provider encounter should include communication that recognizes all patient preferences and lived experiences to support vulnerable and/or marginalized Latinas in their desires to control their own childbearing and life choices.