Evidence map›Paper›PMID 31686369›Full record

ArticleJournal of racial and ethnic health disparities2020

What Predicts a Mayoral Official's Opinion about the Role of Stress in Health Disparities?

Adolfo G Cuevas, Sarah Levine, Jonathan Purtle

Abstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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 Community Health, Tufts University, 574 Boston Ave, Suite 208, Medford, MA, 02155, USA. Adolfo.cuevas@tufts.edu.ORCID 0000-0001-9875-3825
Sarah LevineDepartment of Community Health, Tufts University, 574 Boston Ave, Suite 208, Medford, MA, 02155, USA.
Jonathan PurtleDepartment of Health Management & Policy, Urban Health Collaborative, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA.

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Margaret von Mehren · 1985 to 2026
$138.8M
Harvard Education Program in Cancer Prevention Control (R25T)R25CA057711 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI DAVISON, KIRSTEN · 1992 to 2018
$8.5M
National Survey of State Policy Decision-making and SimulationP50MH113662 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HOAGWOOD, KIMBERLY E., MCKAY, MARY MCKERNAN · 2019 to 2022
$6.9M
CTSA Institutional Mentored Career Development Program (KL2)KL2TR002545 · NCATS · TUFTS UNIVERSITY BOSTON · PI FREUND, KAREN · 2018 to 2022
$5.0M
Cancer Disparities Research Network/Geographic Management Program (GMaP) Region 4 3 P30 CA006927-52S2NCATS NIH HHS KL2 TR002545NCI NIH HHS P30 CA006927NCI NIH HHS R25 CA057711NIMH NIH HHS P50 MH113662
6 · The paper itself

Abstract

High stress is a public health issue in the United States (US), that disproportionately affects socially-marginalized group members, including racial and ethnic minorities and those of low socioeconomic status. While city governments have the potential to reduce stress exposure and health disparities through municipal policies, very little is known about factors that are associated with mayor officials' beliefs about stress as a determinant of disparities. This information is important because it can inform the design of interventions to educate city policymakers about evidence related to stress and health disparities. Using data from a 2016 survey of 230 mayor officials (101 mayors, 129 senior staff), multivariable logistic regression was used to determine the extent to which respondents' individual characteristics (e.g., ideology, highest level of education) and the characteristics of their city's population (e.g., percentage of residents non-white) were associated with their identification of stress as a factor that has a "very strong effect" on health disparities. Forty-four percent of respondents identified stress as having a very strong effect on health disparities. In the fully adjusted model, every percentage point increase in the proportion of a respondent's city population that was non-White increased the odds of identifying stress as having a very strong effect on health disparities by 2% [adjusted odds ratio (aOR) = 1.02; 95% CI = 1.00,1.04]. Interventions are needed to increase city policymakers' knowledge about the role of stress in the production of health disparities, which could, in turn, help cultivate political will for city policies that reduce disparities.

Indexed as

Attitude to HealthHealth Status DisparitiesLocal GovernmentFemaleHumansMaleMiddle AgedMinority GroupsPovertyProfessional CompetenceStress, PsychologicalUnited StatesHealth disparitiesPolicyPolicymakersStressUrban

Identifiers

PMID31686369
PMCPMC7047710

What OpenQuestion holds

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Registered trials

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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.