scholarly journals Social network and census tract-level influences on substance use among emerging adult males: An activity spaces approach

2015 ◽  
Vol 35 ◽  
pp. 28-36 ◽  
Author(s):  
Crystal Gibson ◽  
Lauren Perley ◽  
Jonathan Bailey ◽  
Russell Barbour ◽  
Trace Kershaw
2008 ◽  
Vol 33 (2-3) ◽  
pp. 155-163 ◽  
Author(s):  
Jack Baker ◽  
Xiaomin Ruan ◽  
Adelamar Alcantara ◽  
Troy Jones ◽  
Kendra Watkins ◽  
...  

Author(s):  
Leah H. Schinasi ◽  
Helen V. S. Cole ◽  
Jana A. Hirsch ◽  
Ghassan B. Hamra ◽  
Pedro Gullon ◽  
...  

Neighborhood greenspace may attract new residents and lead to sociodemographic or housing cost changes. We estimated relationships between greenspace and gentrification-related changes in the 43 largest metropolitan statistical areas (MSAs) of the United States (US). We used the US National Land Cover and Brown University Longitudinal Tracts databases, as well as spatial lag models, to estimate census tract-level associations between percentage greenspace (years 1990, 2000) and subsequent changes (1990–2000, 2000–2010) in percentage college-educated, percentage working professional jobs, race/ethnic composition, household income, percentage living in poverty, household rent, and home value. We also investigated effect modification by racial/ethnic composition. We ran models for each MSA and time period and used random-effects meta-analyses to derive summary estimates for each period. Estimates were modest in magnitude and heterogeneous across MSAs. After adjusting for census-tract level population density in 1990, compared to tracts with low percentage greenspace in 1992 (defined as ≤50th percentile of the MSA-specific distribution in 1992), those with high percentage greenspace (defined as >75th percentile of the MSA-specific distribution) experienced higher 1990–2000 increases in percentage of the employed civilian aged 16+ population working professional jobs (β: 0.18, 95% confidence interval (CI): 0.11, 0.26) and in median household income (β: 0.23, 95% CI: 0.15, 0.31). Adjusted estimates for the 2000–2010 period were near the null. We did not observe evidence of effect modification by race/ethnic composition. We observed evidence of modest associations between greenspace and gentrification trends. Further research is needed to explore reasons for heterogeneity and to quantify health implications.


2014 ◽  
Vol 145 ◽  
pp. 209-216 ◽  
Author(s):  
Perry N. Halkitis ◽  
Daniel E. Siconolfi ◽  
Christopher B. Stults ◽  
Staci Barton ◽  
Kristen Bub ◽  
...  

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Jeffrey J Wing ◽  
Emily E Lynch ◽  
Sarah E Laurent ◽  
Bruce C Mitchell ◽  
Jason Richardson ◽  
...  

Introduction: Racial disparities exist in stroke and stroke outcomes. However, the fundamental cause for these disparities are not biological differences, but structural racism. Using the Home Owners’ Loan Corporation (HOLC) ‘redlining’ scores, as indicator of structural lending practices from middle of the last century, we hypothesize that census tracts with high historic redlining are associated with higher stroke prevalence. Methods: Weighted historic redlining scores (HRS) were calculated using the proportion of 1930s HOLC residential security grades contained within 2010 census tract boundaries of Columbus, Ohio. Stroke prevalence (adults >=18) was obtained at the census tract-level from the CDC’s 500 Cities Project. Sociodemographic factors, as measured by census tract level information (American Community Survey 2014-2018), were considered mediators in the causal association between historic redlining (measured in 1936) and stroke prevalence (measured in 2017) and were not controlled for in regression analysis. The functional form of the association was non-linear, so stroke prevalence within quartiles of the HRS were compared using linear regression instead of a continuous score. Results: Higher HRS, representing greater redlining, were associated with greater prevalence of stroke when comparing the highest to the lowest quartile of HRS (Figure). Census tracts in the highest quartile of HRS had 1.48% higher stroke prevalence compared to those in the lowest quartile (95% CI: 0.23-2.74). No other interquartile differences were observed. Conclusions: Historic redlining practices are a form of structural racism that established geographic systems of disadvantage and consequently, poor health outcomes. Our findings demonstrate disparate stroke prevalence by degree of historic redlining in census tracts across Columbus, Ohio. While ecologic, this study demonstrates the need to acknowledge that racism, not race, drive stroke disparities.


2020 ◽  
Vol 29 (6) ◽  
pp. 536-542 ◽  
Author(s):  
Celestina Barbosa‐Leiker ◽  
Aimee N.C. Campbell ◽  
Martina Pavlicova ◽  
Jennifer Scodes ◽  
A. Kathleen Burlew ◽  
...  

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