Evidence map›Paper›PMID 38854787›Full record

ArticleEthnicity & disease2024

Financial Well-Being Among US Adults with Vascular Conditions: Differential Impacts Among Blacks and Hispanics.

Molly M Jacobs, Elizabeth Evans, Charles Ellis

Abstract read
In one paragraph

Article in Ethnicity & disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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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.

Molly M JacobsDepartment of Health Services, Management and Policy, University of Florida, Gainesville, FL.
Elizabeth EvansDepartment of Speech, Language, and Hearing Sciences, University of Florida, Gainesville, FL.
Charles EllisDepartment of Speech, Language, and Hearing Sciences, University of Florida, Gainesville, FL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The ability to meet current and ongoing financial obligations, known as financial well-being (FWB), is not only associated with the likelihood of adverse health events but is also affected by unexpected health care expenditures. However, the relationship between FWB and common health outcomes is not well understood. Using data available in the Financial Well-Being Scale from the Consumer Financial Protection Bureau, we evaluated the impact of four vascular conditions-cardiovascular disease (CVD), stroke, high blood pressure (BP), and high cholesterol-on FWB and how these impacts varied between racial and ethnic groups. Methods: Using the Understanding America Survey-a nationally representative, longitudinal panel-we identified adults with self-reported diagnoses between 2014 and 2020 of high cholesterol, high BP, stroke, and CVD. We used stratified, longitudinal mixed regression models to assess the association between these diagnoses and FWB. Each condition was modeled separately and included sex, age, marital status, household size, income, education, race/ethnicity, insurance, body mass index, and an indicator of the condition. Racial and ethnic differentials were captured using group-condition interactions. Results: On average, Whites had the highest FWB Scale score (69.0, SD=21.8), followed by other races (66.7, SD=21.0), Hispanics (59.3, SD=21.6), and Blacks (56.2, SD=21.4). In general, FWB of individuals with vascular conditions was lower than that of those without, but the impact varied between racial and ethnic groups. Compared with Whites (the reference group), Blacks with CVD (-7.4, SD=1.0), stroke (-8.1, SD=1.5), high cholesterol (-5.7, SD=0.7), and high BP (6.1, SD=0.7) had lower FWB. Similarly, Hispanics with high BP (-3.0, SD=0.6) and CVD (-6.3, SD=1.3) had lower FWB. Income, education, insurance, and marital status were also correlated with FWB. Conclusions: These results indicated differences in the financial ramifications of vascular conditions among racial and ethnic groups. Findings suggest the need for interventions targeting FWB of individuals with vascular conditions, particularly those from minority groups.

Indexed as

Cardiovascular DiseasesHispanic or LatinoAdultAgedBlack or African AmericanFemaleHumansHypertensionLongitudinal StudiesMaleMiddle AgedStrokeUnited StatesVascular DiseasesWhiteCardiovascular DiseaseDisparitiesEthnicityFinancial Well-BeingRaceStroke

Identifiers

PMID38854787
PMCPMC11156161

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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.