Evidence map›Paper›PMID 40499655›Full record

ArticleThe Journal of nutrition2025

Differences in United States Adult Dietary Patterns by Cardiometabolic Health and Socioeconomic Vulnerability.

Eric J Brandt, Cindy W Leung, Tammy Chang, John Z Ayanian, Mousumi Banerjee, Matthias Kirch, Dariush Mozaffarian, Brahmajee K Nallamothu

Abstract read
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Article in The Journal of nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Eric J BrandtInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States; Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States. Electronic address: EricJBrandtMD@gmail.com.
Cindy W LeungDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Tammy ChangInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States; Department of Family Medicine, University of Michigan, Ann Arbor, MI, United States.
John Z AyanianInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States; Division of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.
Mousumi BanerjeeInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States; School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Matthias KirchInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States.
Dariush MozaffarianFood is Medicine Institute, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
Brahmajee K NallamothuInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States; Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.

Funding

Nutrition Program Participation and Cardiovascular Outcomes in U.S. AdultsK23MD017253 · NIMHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Eric J Brandt · 2022 to 2026
$837k
NIMHD NIH HHS K23 MD017253
6 · The paper itself

Abstract

backgroundNaturally occurring dietary patterns are not well described among individuals with cardiovascular disease (CVD) or cardiometabolic risk factors (i.e., diabetes, hypertension, obesity, and dyslipidemia), particularly considering socioeconomic vulnerability.

objectivesWe investigated major dietary patterns in the United States and their distribution by prevalent CVD, cardiometabolic risk factors, and socioeconomic vulnerability.

methodsThis cross-sectional study analyzed data from 32,498 noninstitutionalized adults who participated in the National Health and Nutrition Examination Survey (2009-2020). We used principal component analysis to identify dietary patterns. Using multiple linear regression, we tested the association of prevalent CVD, cardiometabolic risk factors, and socioeconomic vulnerability [number of social risk factors and Supplemental Nutrition Assistance Program (SNAP) participation status] with each pattern.

resultsFour dietary patterns were identified: processed/animal foods (high-refined grains, added sugars, meats, and dairy), prudent (high vegetables, nuts/seeds, oils, seafood, and poultry), legume, and fruit/whole grain/dairy, which together explained 29.2% of the dietary variance. After adjustment for age, gender, race and ethnicity, cohort year, and total energy intake, the processed/animals foods pattern associated (β-coefficient for difference in principal component score) positively with diabetes [0.08 (0.01, 0.14)], hypertension [0.11 (0.06, 0.16)], obesity [0.15 (0.11, 0.19)], higher social risk score (P-trend < 0.001), income-eligible SNAP nonparticipation [0.16 (0.09, 0.23)], and SNAP participation [0.23 (0.17, 0.29)]. The prudent pattern associated negatively with hypertension [-0.09 (-0.14, -0.04)], obesity [-0.11 (-0.16, -0.06)], higher social risk score (P-trend < 0.001), income-eligible SNAP nonparticipation [-0.14 (-0.21, -0.06)], and SNAP participation [-0.30 (-0.35, -0.24)]. The legume pattern was associated negatively with CVD [-0.09 (-0.15, -0.02)] and obesity [-0.08 (-0.12, -0.04)], and positively with income-eligible SNAP nonparticipation [0.11 (0.04, 0.18)]. The fruit/whole grain/dairy pattern was associated positively with diabetes [0.08 (0.01, 0.15)] and negatively with hypertension [-0.21 (-0.26, -0.15)], obesity [-0.23 (-0.28, -0.18)], higher social risk score (P-trend < 0.001), and SNAP participation [-0.19 (-0.25, -0.12)].

conclusionsEmpirical dietary patterns in the United States vary by CVD, cardiometabolic risk factors, and socioeconomic vulnerability. Initiatives to improve nutrition should consider these naturally occurring dietary patterns and their variation in key subgroups.

Indexed as

Cardiovascular DiseasesDietSocioeconomic FactorsAdultAgedCardiometabolic Risk FactorsCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsUnited Statescardiovascular diseasefood assistancenutritionpolicysocial determinants of health

Identifiers

PMID40499655
PMCPMC12405929

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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.