Evidence map›Paper›PMID 30393880›Full record

ReviewClinical cardiology2019

Where we live: The impact of neighborhoods and community factors on cardiovascular health in the United States.

Yang-Yu Karen Xiao, Garth Graham

Abstract readReview
In one paragraph

Review in Clinical cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yang-Yu Karen XiaoDepartment of Medicine, University of Connecticut School of Medicine, Farmington, Connecticut.
Garth GrahamDepartment of Medicine, University of Connecticut School of Medicine, Farmington, Connecticut.ORCID https://orcid.org/0000-0002-7054-4949

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the prevalence of cardiovascular risk factors has decreased in the United States in recent years, cardiovascular disparities by sex and race persist. Among the factors contributing to these disparities is the physical environment in which individuals live. Neighborhood characteristics, ranging from air pollution exposure to residential segregation, have been found to be related to cardiovascular health (CVH) and stroke risk. Through the use of cross-sectional, longitudinal, and analytic regression modeling, we are gaining clarity about the relationship between an individual's external environment and CVH. Moreover, differences in CVH vary by sex and/or race within the same neighborhood. The mechanism by which these disparities exist is still being explored. In this review, we examine the literature that has accumulated regarding how external environments and community factors affect individuals and populations by race and sex.

Indexed as

EthnicityResidence CharacteristicsCardiovascular DiseasesHumansMorbidityPrevalenceRisk FactorsSocioeconomic FactorsUnited Statescardiovascular health disparitiesneighborhoodsocial determinants of healthsocioeconomic status

Identifiers

PMID30393880
PMCPMC6436513

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.