• Mashup Score: 4

    The Present and FutureCardiovascular Medicine and SocietyHistorical Neighborhood Redlining and Contemporary Cardiometabolic RiskSection snippetsMethodsThis is a cross-sectional study of the mean prevalence of the 2019 cardiometabolic outcomes and risk factors at the census tract level according to HOLC grading.ResultsA total of 11,178 HOLC-graded census tracts were included, comprising 38,537,798…

    Tweet Tweets with this article
    • Online @JACCJournals (led by @IMotairek), we examine the relationship between historical residential segregation #redlining and contemporary cardiometolic health outcomes in the US. Work part of our efforts to define #neighborhood effects on CVD https://t.co/vQRhKPXEDZ https://t.co/nbiZFvcdH2

  • Mashup Score: 0

    Community engagement is well established as a key to improving public health. Prior food environment research has largely studied community engagement as an intervention component, leaving much unknown about how food retailers may already engage in this work. The purpose of this study was to explore the community engagement activities employed by neighborhood food retailers located in…

    Tweet Tweets with this article
    • Funding: @NIH_NHLBI & @RWJF: Kaur et al. explore the #community engagement activities (CEA) employed by #neighborhood #food retailers located in lower-income #communities. Chart shows #customer, CEA, & level of #implementation across cases. Read: https://t.co/xoNdvyYSKf #ImpSCI https://t.co/KZqq2dWgLy

  • Mashup Score: 8

    Characteristics of the neighborhood built environment influence health and health behavior. Google Street View (GSV) images may facilitate measures of the neighborhood environment that are meaningful, practical, and adaptable to any geographic boundary. We used GSV images and computer vision to characterize neighborhood environments (green streets, visible utility wires, and dilapidated…

    Tweet Tweets with this article
    • New @NIH-funded work by Drs. @KBibbinsDomingo, Thu T Nguyen, Quyn C Nguyen and colleagues at @UCSF_Epibiostat uses @Google Street View & #EHR to examine impact of place on #HeartDisease #HTN #Diabetes #Neighborhood #SES #SDOH #Disparities #BigData #ImpSci https://t.co/kqnh5bFnDO https://t.co/opzFcym1Y8