Evidence map›Paper›PMID 28411896›Full record

ReviewCardiology clinics2017

Psychosocial Factors and Hypertension: A Review of the Literature.

Adolfo G Cuevas, David R Williams, Michelle A Albert

Abstract readReview
In one paragraph

Review in Cardiology clinics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
–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

59 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Population-Level Gaps in Coronary Artery Disease Care: A Focused Review.Methodist DeBakey cardiovascular journal · 2025
    Review
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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

3 authors.

Adolfo G CuevasDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Landmark Center, Room 428a, 401 Park Drive, Boston, MA 02215, USA.
David R WilliamsDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, 6th Floor, Boston, MA 02115, USA; Department of African and African American Studies, Harvard University, 12 Quincy Street, Cambridge, MA 02138, USA. Electronic address: dwilliam@hsph.harvard.edu.
Michelle A AlbertDivision of Cardiology, Department of Medicine, Center for the Study of Adversity and Cardiovascular Disease [NURTURE Center], University of California, San Francisco, 505 Parnassus Avenue, M1177, San Francisco, CA 94143, USA.

Funding

Harvard Education Program in Cancer Prevention Control (R25T)R25CA057711 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI DAVISON, KIRSTEN · 1992 to 2018
$8.5M
NCI NIH HHS R25 CA057711
6 · The paper itself

Abstract

Black people have the highest prevalence of hypertension in the United States. Evidence suggests that psychosocial factors increase the risks for hypertension and help to account for racial differences in this condition. This article reviews research on psychosocial factors and hypertension, and contextualizes the findings within a health disparities framework. A wide range of psychosocial factors contribute to hypertension but understanding remains limited about how these factors relate to each other and accumulate to contribute to hypertension disparities. Future research on psychosocial factors and hypertension needs to enhance the effectiveness of interventions to reduce hypertension risk in ethnic minority communities.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityRacial GroupsGlobal HealthHumansHypertensionMorbiditySocioeconomic FactorsHealth disparitiesHypertensionPsychosocial factorsRace/ethnicityReview

Identifiers

PMID28411896
PMCPMC5407387

What OpenQuestion holds

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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.