Evidence map›Paper›PMID 36170056›Full record

ArticleJAMA cardiology2022

Food Insecurity Among Individuals With Cardiovascular Disease and Cardiometabolic Risk Factors Across Race and Ethnicity in 1999-2018.

Eric J Brandt, Tammy Chang, Cindy Leung, John Z Ayanian, Brahmajee K Nallamothu

Open access · greenAbstract read
In one paragraph

Article in JAMA cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
14.7field-weighted citation impact, top 1% of its field
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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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  4. Food Security and Cardio-Metabolic Risk in Individuals with Metabolic Syndrome.International journal of environmental research and public health · 2024
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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

5 authors at 1 institution in 1 country.

Eric J BrandtInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
Tammy ChangInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
Cindy LeungInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
John Z AyanianInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
Brahmajee K NallamothuInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
University of Michigan–Ann Arbor · US

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

Importance: Food insecurity is a risk factor for poor cardiovascular outcomes that occur disproportionately among individuals from racial and ethnic minority backgrounds who have cardiovascular disease (CVD) or cardiometabolic risk factors. Objective: To assess long-term prevalence of food insecurity among those with CVD or cardiometabolic risk factors in the United States. Design, Setting, and Participants: This serial cross-sectional study includes data for noninstitutionalized US adults from the National Health and Nutrition Examination Survey (1999-2018). Main Outcomes and Measures: Food insecurity was assessed using the US Department of Agriculture Adult Food Security Survey Module. We estimated prevalence of food insecurity among adults with prior CVD (myocardial infarction, stroke, heart failure) and cardiometabolic risk factors (hypertension, diabetes, obesity, hyperlipidemia) across racial and ethnic groups and prevalence of Supplemental Nutrition Assistance Program (SNAP) participation among those reporting food insecurity. Results: In the analytic sample of 57 517 adults, 6770 individuals (11.8%) reported food insecurity, which was more prevalent among Hispanic (1938 [24.0%]) and non-Hispanic Black (1202 [18.2%]) than non-Hispanic Asian (100 [8.0%]) and non-Hispanic White adults (3221 [8.5%]). Among 57 517 adults, 4527 (7.9%) had any CVD, 2933 (5.1%) coronary artery disease, 1536 (2.7%) stroke, 1363 (2.4%) heart failure, 28 528 (49.6%) hypertension, 17 979 (33.2%) obesity, 6418 (11.2%) diabetes, and 19 178 (30.8%) dyslipidemia. All CVD and cardiometabolic diseases except coronary artery disease were more prevalent among those with food insecurity. Food insecurity increased over time and was more frequent for patients with CVD but not for cardiometabolic risk factors. From 2011 to 2018, non-Hispanic Black adults with CVD had a decrease in food insecurity prevalence (36.6%; 95% CI, 23.9%-49.4%, to 25.4%; 95% CI, 21.4%-29.3%; P = .04 for trend), whereas adults of other races and ethnicities or data based on cardiometabolic risk factors had no significant change. For individuals who had food insecurity, SNAP participation was higher among those with CVD vs without CVD (54.2%; 95% CI, 46.6%-61.8%, vs 44.3%; 95% CI, 40.5%-48.1%; P = .01). Conclusions and Relevance: The prevalence of food insecurity among patients with CVD increased over time. Although members of non-Hispanic Black and Hispanic groups had the highest food insecurity, non-Hispanic Black individuals with CVD were the only group to have a significant decrease in food insecurity since 2011. Increased recognition of food insecurity and resources for treating it are needed to address the negative consequences of food insecurity on CVD outcomes.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseDiabetes MellitusHeart FailureHypertensionStrokeAdultCardiometabolic Risk FactorsCross-Sectional StudiesEthnicityFood InsecurityHumansMinority GroupsNutrition SurveysObesityUnited States

Identifiers

PMID36170056
PMCPMC9520443
OpenAlexW4297461466

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.