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As a strategy for combating physical inactivity, obesity, and other health conditions, the apperception of greenspace and importance of human-nature relationships have increased in recent decades. With this raised awareness in greenspace, the development of park auditing tools has been positioned primarily in the material conditions (e.g., physical environmental conditions) of parks. An examination of existing park auditing tools has shown that by focusing on particular material conditions, built environment and active living scholars have set aside other characteristics, namely, those that consider the user (e.g., the active human), as a separate concern from the focus of these tools. We have sought to engage with these tools to examine how they can be more effective in analyzing both the physical and human elements of parks and other natural environments.

Jessica N. Fish, Family Science, investigates sexual-orientation-related disparities in mental, behavioral, and physical health

Access to new dataset opens up research opportunities

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.

Faculty associate Rashawn Ray investigates the social and environmental changes needed in order to remove neighborhood barriers to regular physical exercise

OBJECTIVE: Telomeres are protective sequences of DNA capping the ends of chromosomes that shorten over time. Leukocyte telomere length (LTL) is posited to reflect the replicative history of cells and general systemic aging of the organism. Chronic stress exposure leads to accelerated LTL shortening, which has been linked to increased susceptibility to and faster progression of aging-related diseases. This study examined longitudinal associations between LTL and experiences of racial discrimination, a qualitatively unique source of minority psychosocial stress, among African Americans. METHOD: Data are from 391 African Americans in the Coronary Artery Risk Development in Young Adults (CARDIA) Telomere Ancillary Study. We examined the number of domains in which racial discrimination was experienced in relation to LTL collected in Years 15 and 25 (Y15: 2000/2001; Y25: 2010/2011). Multivariable linear regression examined if racial discrimination was associated with LTL. Latent change score analysis (LCS) examined changes in racial discrimination and LTL in relation to one another. RESULTS: Controlling for racial discrimination at Y15, multivariable linear regression analyses indicated that racial discrimination at Y25 was significantly associated with LTL at Y25. This relationship remained robust after adjusting for LTL at Y15 (b = -.019, p = .015). Consistent with this finding, LCS revealed that increases in experiences of racial discrimination were associated with faster 10-year LTL shortening (b = -.019, p = .015). CONCLUSIONS: This study adds to evidence that racial discrimination contributes to accelerated physiologic weathering and health declines among African Americans through its impact on biological systems, including via its effects on telomere attrition. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Associates Marian MacDorman and Marie Thoma, with colleagues Eugene DeClerq and Elizabeth Howell examine birth records

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.

Purpose:  We propose a new theoretically grounded approach for estimating sexual orientation-related health risk that accounts for the unique and shared variance of sexual identity across other measures of sexual orientation (i.e., attraction and behavior). We argue and illustrate that this approach provides specificity not demonstrated by approaches that independently estimate and compare health risk based on sexual identity, attraction, and behavior. Methods:  Data were from the National Epidemiologic Survey on Alcohol and Related Conditions-III, collected in 2012–2013 (N = 36,309, ages 18 and older). The Karlson-Holm-Breen method tested the degree to which attraction- and behavior-based disparities in mental health and substance use disorders change after adjusting for sexual identity. Results:  Sexual attraction- and behavior-based disparities in mental health and substance use disorders statistically varied when comparing models that did and did not adjust for sexual identity. Adjusting for sexual identity appeared to have a larger influence on attraction- and behavior-based health associations among men; sexual minority and majority differences were attenuated on nearly every outcome after adjusting for sexual identity. This attenuation was less common among women. Among women, some behavior-based disparities were wider in sexual identity-adjusted models relative to unadjusted models. Conclusion:  We demonstrate more accurate approaches to capturing and comparing sexual orientation-related health disparities across multiple measures of sexual orientation, which account for the shared variance between sexual identity and measures of attraction and behavior. Adjusted estimates provide more specificity regarding relative health risk across specific subgroups of sexual minority people, and the intervention and prevention strategies needed to address them.