Evidence map›Paper›PMID 31367513›Full record

ArticlePreventive medicine reports2019

DASH diet and prevalent metabolic syndrome in the Hispanic Community Health Study/Study of Latinos.

Brian T Joyce, Donghong Wu, Lifang Hou, Qi Dai, Sheila F Castaneda, Linda C Gallo, Gregory A Talavera, Daniela Sotres-Alvarez, Linda Van Horn, Jeannette M Beasley and 6 more

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 32 citations in OpenAlex.

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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

16 authors at 9 institutions in 1 country.

Brian T JoyceCenter for Population Epigenetics, Robert H. Lurie Comprehensive Cancer Center, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL 60611, USA.
Donghong WuInstitute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA.
Lifang HouCenter for Population Epigenetics, Robert H. Lurie Comprehensive Cancer Center, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL 60611, USA.
Qi DaiVanderbilt University Medical Center, Nashville, TN, USA.
Sheila F CastanedaSan Diego State University, Graduate School of Public Health, Division of Health Promotion and Behavioral Science, San Diego, CA, USA.
Linda C GalloDepartment of Psychology, San Diego State University, San Diego, CA, USA.
Gregory A TalaveraDivision of Health Promotion and Behavioral Science, San Diego State University, San Diego, CA, USA.
Daniela Sotres-AlvarezCollaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Linda Van HornDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Jeannette M BeasleyDivision of General Internal Medicine and Clinical Innovation, NYU School of Medicine, New York, NY, USA.
Tasneem KhambatyDepartment of Psychology, University of Miami, Coral Gables, FL, USA.
Tali ElfassyDepartment of Public Health Sciences, University of Miami, Miami, FL, USA.
Donglin ZengDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Josiemer MatteiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Leonor CorsinoDepartment of Medicine/Endocrinology, Duke University School of Medicine, Durham, NC, USA.
Martha L DaviglusInstitute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA.
Northwestern University · USSan Diego State University · USUniversity of Miami · USUniversity of North Carolina at Chapel Hill · USDuke University · USHarvard University · USNew York University · USUniversity of Illinois Chicago · USVanderbilt University Medical Center · US

Funding

New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Institutional Career Development CoreKL2TR002737 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI RUNDEK, TATJANA, SCOTT, GWENDOLYN BARBARA · 2018 to 2022
$3.6M
Thalassemia Clinical Research Network, CanadaU01HL065233 · NHLBI · UNIVERSITY HEALTH NETWORK · PI OLIVIERI, NANCY F · 2000 to 2009
$2.6M
GENETIC ARCHITECTURE OF PLASMA T-PA AND PAI-1R01HL065234 · NHLBI · VANDERBILT UNIVERSITY · PI MOORE, JASON H. · 2000 to 2004
$1.7M
HISPANIC COMMUNITY HEALTH STUDY-268065233N01HC065233 · HC · COORDINATING CENTER · PI CHAMBLESS, LLOYD E · 2006 to 2006
–
NCATS NIH HHS KL2 TR002737NHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

The Dietary Approaches to Stop Hypertension (DASH) diet is recommended for lowering blood pressure and preventing cardiovascular disease (CVD), but little data exist on these associations in US Hispanics/Latinos. We sought to assess associations between DASH score and prevalence of metabolic syndrome (MetS) and its components in diverse Hispanics/Latinos. We studied 10,741 adults aged 18-74 in the multicenter Hispanic Community Health Study/Study of Latinos. Dietary intake was measured using two 24-hour recalls, and MetS defined per the 2009 harmonized guidelines. We assessed cross-sectional associations of DASH score and MetS (and its dichotomized components) using survey logistic regression, and DASH and MetS continuous components using linear regression. We also stratified these models by Hispanic/Latino heritage group to explore heritage-specific associations. We found no associations between DASH and MetS prevalence. DASH was inversely associated with both measures of blood pressure (p < 0.01 for systolic and p < 0.001 for diastolic) in the overall cohort. DASH was also inversely associated with diastolic blood pressure in the Mexican (p < 0.05), Central American (p < 0.05), and South American (p < 0.01) groups; triglycerides (p < 0.05) in the Central American group; fasting glucose overall (p < 0.01) and in the Mexican group (p < 0.01); and waist circumference overall (p < 0.05) and in the South American group (p < 0.01). DASH was positively associated with HDL-cholesterol (p < 0.01) in the Central American group. DASH may better capture diet-MetS associations in Hispanic/Latino subpopulations such as Central/South Americans; this study also adds evidence that Hispanics/Latinos should be analyzed by heritage. Further research, and/or culturally tailored DASH measures will help further explain between-heritage differences.

Indexed as

DASHDietDiet quality scoresHispanics/LatinosMetabolic syndrome

Identifiers

PMID31367513
PMCPMC6657306
OpenAlexW2960328474

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.