Neighborhood Environments and Incident Hypertension in the Multi-Ethnic Study of Atherosclerosis

Kaiser, Paulina; Roux, Ana V. Diez; Mujahid, Mahasin S.; Carnethon, Mercedes R.; Bertoni, Alain G.; Adar, Sara D.; Shea, Steven; McClelland, Robyn L.; Lisabeth, Lynda D.

doi:10.1093/aje/kwv296

Cited by 95 publications

(84 citation statements)

References 52 publications

(55 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[93] There were no significant associations between other neighborhood physical and social environment indicators and incident hypertension. These analyses used both survey-based and GIS measures of neighborhood environments and assessed the associations with cumulative average measures of these constructs.…”

Section: Select Findings To Datementioning

confidence: 99%

The Impact of Neighborhoods on CV Risk

Roux

Mujahid

Hirsch

et al. 2016

Self Cite

175

121

View full text Add to dashboard Cite

Cardiovascular disease (CVD) continues to be the leading cause of death and a major source of health disparities in the Unites States and globally. Efforts to reduce CVD risk and eliminate cardiovascular health disparities have increasingly emphasized the importance of the social determinants of health. Neighborhood environments have emerged as a possible target for prevention and policy efforts. Hence there is a need to better understand the role of neighborhood environments in shaping cardiovascular risk. The Multi-Ethnic Study of Atherosclerosis Neighborhood Study provided a unique opportunity to build a comprehensive place-based resource for investigations of associations between specific features of neighborhood physical and social environments and cardiovascular risk factors and outcomes. This manuscript summarizes the approaches used to characterize residential neighborhood environments in the MESA cohort, provides an overview of key findings to date, and discusses challenges and opportunities in neighborhood health effects research. Results to date suggest that neighborhood physical and social environments are related to behavioral and biomedical risk factors for CVD and that cardiovascular prevention efforts might benefit from taking neighborhood context into account.

show abstract

Section: Select Findings To Datementioning

confidence: 99%

The Impact of Neighborhoods on CV Risk

Roux

Mujahid

Hirsch

et al. 2016

Self Cite

175

121

View full text Add to dashboard Cite

show abstract

“…more unhealthy foods on average and fewer opportunities for physical activity) and social environments (e.g. less safety and social cohesion) are associated with increased risk of CVD risk factors such as obesity, diabetes, and hypertension, and fatal and non-fatal CVD (Christine et al, 2015; Diez Roux et al, 2016; Kaiser et al, 2016; Kershaw et al, 2015). Studies have also documented that blacks and other racial/ethnic minorities disproportionately reside in neighborhoods that are socioeconomically disadvantaged, and have poor access to health promoting resources.…”

Section: Introductionmentioning

confidence: 99%

Neighborhoods and racial/ethnic differences in ideal cardiovascular health (the Multi-Ethnic Study of Atherosclerosis)

et al. 2017

Self Cite

View full text Add to dashboard Cite

Using data from the Multi-Ethnic Study of Atherosclerosis baseline sample from 2000–2002 (N=5263; mean age=62) we examined cross-sectional racial/ethnic differences in ideal CVH, defined by the American Heart Association 2020 Impact Goals as a summary measure of ideal levels of blood pressure, fasting glucose, cholesterol, body mass index, diet, physical activity, and smoking. Using three different analytical approaches, we examined differences before and after adjustment for neighborhood socioeconomic, physical, and social environments. Significant racial/ethnic differences were present for all indicators of ideal CVH (excluding physical activity). Additional adjustments for neighborhood factors produced modest reductions in racial/ethnic differences. Future research is necessary to better understand the impact of neighborhood context on health disparities using longitudinal study designs.

show abstract

“…For example, the MESA neighborhood Study, an ancillary study to the Multi-Ethnic Study of Atherosclerosis (MESA), includes a set of novel time varying measures of healthy food availability and access to recreational facilities. Previous studies have shown that individuals living in neighborhoods with better food and physical activity environments are less likely to develop hypertension (Kaiser et al (2015)). In the present analysis, we are primarily interested in investigating whether a set of single nucleotide polymorphisms (SNPs) measured in a genome-wide association study modifies the effect of neighborhood exposures on longitudinal measures of blood pressure.…”

Section: Introductionmentioning

confidence: 99%

Set-Based Tests for the Gene–Environment Interaction in Longitudinal Studies

Zhang

Lee

et al. 2017

Journal of the American Statistical Association

View full text Add to dashboard Cite

We propose a generalized score type test for set-based inference for gene-environment interaction with longitudinally measured quantitative traits. The test is robust to misspecification of within subject correlation structure and has enhanced power compared to existing alternatives. Unlike tests for marginal genetic association, set-based tests for gene-environment interaction face the challenges of a potentially misspecified and high-dimensional main effect model under the null hypothesis. We show that our proposed test is robust to main effect misspecification of environmental exposure and genetic factors under the gene-environment independence condition. When genetic and environmental factors are dependent, the method of sieves is further proposed to eliminate potential bias due to a misspecified main effect of a continuous environmental exposure. A weighted principal component analysis approach is developed to perform dimension reduction when the number of genetic variants in the set is large relative to the sample size. The methods are motivated by an example from the Multi-Ethnic Study of Atherosclerosis (MESA), investigating interaction between measures of neighborhood environment and genetic regions on longitudinal measures of blood pressure over a study period of about seven years with 4 exams.

show abstract

Neighborhood Environments and Incident Hypertension in the Multi-Ethnic Study of Atherosclerosis

Cited by 95 publications

References 52 publications

The Impact of Neighborhoods on CV Risk

The Impact of Neighborhoods on CV Risk

Neighborhoods and racial/ethnic differences in ideal cardiovascular health (the Multi-Ethnic Study of Atherosclerosis)

Set-Based Tests for the Gene–Environment Interaction in Longitudinal Studies

Contact Info

Product

Resources

About