Evidence map›Paper›PMID 39104805›Full record

ArticleCurrent developments in nutrition2024

Examining Generalizability across Different Surveys: Comparing Nutrient-Based Food Patterns and Their Cross-Sectional Associations with Cardiometabolic Health in the United States Hispanic/Latino Adults.

Jeanette J Varela, Josiemer Mattei, Daniela Sotres-Alvarez, Yasmin Mossavar-Rahmani, Amanda C McClain, Luis E Maldonado, Martha L Daviglus, Briana Jk Stephenson

Abstract read
In one paragraph

Article in Current developments in nutrition, 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

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.

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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

5 · Who and what money

Authors and funding

8 authors.

Jeanette J VarelaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Josiemer MatteiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Daniela Sotres-AlvarezDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Yasmin Mossavar-RahmaniDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States.
Amanda C McClainSchool of Exercise and Nutritional Sciences, College of Health and Human Services, San Diego State University College of Health and Human Services, San Diego, CA, United States.
Luis E MaldonadoDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
Martha L DaviglusInstitute of Minority Health Research, University of Illinois at Chicago, Chicago, IL, United States.
Briana Jk StephensonDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.

Funding

GRADUATE TRAINING IN BIOSTATISTICST32ES007142 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Brent Andrew Coull · 1985 to 2026
$11.9M
NIEHS NIH HHS T32 ES007142
6 · The paper itself

Abstract

Background: Ethnicity, cultural background, and geographic location differ significantly within the United States Hispanic/Latino population. These variations can greatly define diet and its relationship with cardiometabolic disease, thus influencing generalizability of results. Objectives: We aimed to examine nutrient-based food patterns (NBFPs) of Hispanic/Latino adults and their association with cardiometabolic risk factors (dyslipidemia, hypertension, obesity, diabetes) across 2 United States population-based studies with differing sampling strategies. Methods: Data were collected from Mexican or other Hispanic adult participants from 2007-2012 National Health and Nutrition Examination Survey (NHANES) ( Results: Five NBFPs were identified in both studies: Conclusions: Diet-disease relationships among Hispanic/Latino adults vary according to 2 population-based studies. These differences have research and practical implications when generalizing inferences on heterogeneous underrepresented populations.

Indexed as

dietary patternsfactor analysisHCHS/SOLHispanic/Latino dietsNHANESnutrient intake

Identifiers

PMID39104805
PMCPMC11298582

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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.