Evidence map›Paper›PMID 26321012›Full record

Trial reportAmerican journal of preventive medicine2016

A Dietary Intervention in Urban African Americans: Results of the "Five Plus Nuts and Beans" Randomized Trial.

Edgar R Miller, Lisa A Cooper, Kathryn A Carson, Nae-Yuh Wang, Lawrence J Appel, Debra Gayles, Jeanne Charleston, Karen White, Na You, Yingjie Weng and 9 more

Open access · greenAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in American journal of preventive medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 4 pooled it
4.1field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 4 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 2 countries.

Edgar R MillerDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland; Johns Hopkins Center to Eliminate Cardiovascular Health Disparities, Johns Hopkins School of Medicine, Baltimore, Maryland; The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland. Electronic address: ermiller@jhmi.edu.
Lisa A CooperDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland; Johns Hopkins Center to Eliminate Cardiovascular Health Disparities, Johns Hopkins School of Medicine, Baltimore, Maryland; The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.
Kathryn A CarsonDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland; Johns Hopkins Center to Eliminate Cardiovascular Health Disparities, Johns Hopkins School of Medicine, Baltimore, Maryland; The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland; Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Nae-Yuh WangDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland; Johns Hopkins Center to Eliminate Cardiovascular Health Disparities, Johns Hopkins School of Medicine, Baltimore, Maryland; The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.
Lawrence J AppelDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland; Johns Hopkins Center to Eliminate Cardiovascular Health Disparities, Johns Hopkins School of Medicine, Baltimore, Maryland; The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.
Debra GaylesDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland; Johns Hopkins Center to Eliminate Cardiovascular Health Disparities, Johns Hopkins School of Medicine, Baltimore, Maryland.
Jeanne CharlestonDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland; Johns Hopkins Center to Eliminate Cardiovascular Health Disparities, Johns Hopkins School of Medicine, Baltimore, Maryland.
Karen WhiteDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland.
Na YouSchool of Mathematics and Computational Science, Sun Yat-sen University, Guangzhou, China.
Yingjie WengDepartment of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Michelle Martin-DanielsDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland; Johns Hopkins Center to Eliminate Cardiovascular Health Disparities, Johns Hopkins School of Medicine, Baltimore, Maryland.
Barbara Bates-HopkinsDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland; Johns Hopkins Center to Eliminate Cardiovascular Health Disparities, Johns Hopkins School of Medicine, Baltimore, Maryland.
Inez RobbJohns Hopkins Center to Eliminate Cardiovascular Health Disparities, Johns Hopkins School of Medicine, Baltimore, Maryland.
Whitney K FranzDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland.
Emily L BrownDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland.
Jennifer P HalbertDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland; Johns Hopkins Center to Eliminate Cardiovascular Health Disparities, Johns Hopkins School of Medicine, Baltimore, Maryland.
Michael C AlbertDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland; Johns Hopkins Community Physicians, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Arlene T DalcinDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland; The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.
Hsin-Chieh YehDepartment of Medicine, The Johns Hopkins School of Medicine, Baltimore, Maryland; Johns Hopkins Center to Eliminate Cardiovascular Health Disparities, Johns Hopkins School of Medicine, Baltimore, Maryland; The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland; Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Johns Hopkins University · USSun Yat-sen University · CN

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
TRAINING COREP50HL105187 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI COOPER, LISA A · 2010 to 2014
$9.8M
NCATS NIH HHS UL1 TR001079NHLBI NIH HHS P50HL0105187NHLBI NIH HHS P50 HL105187
6 · The paper itself

Abstract

introductionUnhealthy diets, often low in potassium, likely contribute to racial disparities in blood pressure. We tested the effectiveness of providing weekly dietary advice, assistance with selection of higher potassium grocery items, and a $30 per week food allowance on blood pressure and other outcomes in African American adults with hypertension.

designWe conducted an 8-week RCT with two parallel arms between May 2012 and November 2013. SETTING/

participantsWe randomized 123 African Americans with controlled hypertension from an urban primary care clinic in Baltimore, Maryland, and implemented the trial in partnership with a community supermarket and the Baltimore City Health Department. Mean (SD) age was 58.6 (9.5) years; 71% were female; blood pressure was 131.3 (14.7)/77.2 (10.5) mmHg; BMI was 34.5 (8.2); and 28% had diabetes.

interventionParticipants randomized to the active intervention group (Dietary Approaches to Stop Hypertension [DASH]-Plus) received coach-directed dietary advice and assistance with weekly online ordering and purchasing of high-potassium foods ($30/week) delivered by a community supermarket to a neighborhood library. Participants in the control group received a printed DASH diet brochure along with a debit account of equivalent value to that of the DASH-Plus group.

main outcome measuresThe primary outcome was blood pressure change. Analyses were conducted in January to October 2014.

resultsCompared with the control group, the DASH-Plus group increased self-reported consumption of fruits and vegetables (mean=1.4, 95% CI=0.7, 2.1 servings/day); estimated intake of potassium (mean=0.4, 95% CI=0.1, 0.7 grams/day); and urine potassium excretion (mean=19%, 95% CI=1%, 38%). There was no significant effect on blood pressure.

conclusionsA program providing dietary advice, assistance with grocery ordering, and $30/week of high-potassium foods in African American patients with controlled hypertension in a community-based clinic did not reduce BP. However, the intervention increased consumption of fruits, vegetables, and urinary excretion of potassium.

Indexed as

Black or African AmericanNutsVegetablesAdultBaltimoreBlood PressureCommunity-Based Participatory ResearchDietFemaleFruitHealth Status DisparitiesHumansHypertensionMaleMiddle AgedUrban Population

Identifiers

PMID26321012
PMCPMC4691550
OpenAlexW1125052666

What OpenQuestion holds

Textmetadata
LicenceTDM
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.