Evidence map›Paper›PMID 36432576›Full record

ArticleNutrients2022

Implementing DASH-Aligned Meals and Self-Measured Blood Pressure to Reduce Hypertension at Senior Centers: A RE-AIM Analysis.

Anuradha Hashemi-Arend, Kimberly S Vasquez, Dozene Guishard, Moufdi Naji, Andrea Ronning, Glenis George-Alexander, Dacia Vasquez, Clewert Sylvester, William Pagano, Chamanara Khalida and 8 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

18 authors at 3 institutions in 1 country.

Anuradha Hashemi-ArendCenter for Clinical Translational Science, The Rockefeller University, New York, NY 10065, USA.
Kimberly S VasquezCenter for Clinical Translational Science, The Rockefeller University, New York, NY 10065, USA.
Dozene GuishardCarter Burden Network, New York, NY 10021, USA.
Moufdi NajiCarter Burden Network, New York, NY 10021, USA.
Andrea RonningCenter for Clinical Translational Science, The Rockefeller University, New York, NY 10065, USA.
Glenis George-AlexanderCenter for Clinical Translational Science, The Rockefeller University, New York, NY 10065, USA.
Dacia VasquezCenter for Clinical Translational Science, The Rockefeller University, New York, NY 10065, USA.
Clewert SylvesterCarter Burden Network, New York, NY 10021, USA.ORCID 0000-0003-1064-2026
William PaganoClinical Directors Network (CDN), New York, NY 10018, USA.
Chamanara KhalidaClinical Directors Network (CDN), New York, NY 10018, USA.
Cameron CoffranCenter for Clinical Translational Science, The Rockefeller University, New York, NY 10065, USA.
Teeto EzeonuCenter for Clinical Translational Science, The Rockefeller University, New York, NY 10065, USA.ORCID 0000-0002-3000-6556
Kadija FofanaCenter for Clinical Translational Science, The Rockefeller University, New York, NY 10065, USA.
Dana BielopolskiCenter for Clinical Translational Science, The Rockefeller University, New York, NY 10065, USA.
Roger VaughanCenter for Clinical Translational Science, The Rockefeller University, New York, NY 10065, USA.
Adam QureshiCenter for Clinical Translational Science, The Rockefeller University, New York, NY 10065, USA.
Jonathan N TobinCenter for Clinical Translational Science, The Rockefeller University, New York, NY 10065, USA.ORCID 0000-0003-4722-539X
Rhonda G KostCenter for Clinical Translational Science, The Rockefeller University, New York, NY 10065, USA.
Rockefeller University · USCarter Center · USClinical Directors Network · US

Funding

Developing, Demonstrating, and Disseminating Innovative Programs to Achieve Translational SuccessUL1TR001866 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY, KRUEGER, JAMES G · 2016 to 2025
$40.6M
Transforming Translational Science and Education to Benefit Human HealthUL1TR000043 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY · 2012 to 2015
$26.8M
ACL HHS 90INNU0007-01-00NCATS NIH HHS TR000043-07S1NCATS NIH HHS UL1 TR000043NCATS NIH HHS UL1 TR001866
6 · The paper itself

Abstract

Low-income, minority seniors face high rates of hypertension that increase cardiovascular risk. Senior centers offer services, including congregate meals, that can be a valuable platform to reach older adults in underserved communities. We implemented two evidence-based interventions not previously tested in this setting: DASH-aligned congregate meals and Self-Measured Blood Pressure (SMBP), to lower blood pressure (BP) at two senior centers serving low-income, racially diverse communities. The study enrolled congregate meal program participants, provided training and support for SMPB, and nutrition and BP education. DASH-aligned meals delivered 40% (lunch) or 70% (breakfast and lunch) of DASH requirements/day. Primary outcomes were change in BP, and BP control, at Month 1. Implementation data collected included client characteristics, menu fidelity, meal attendance, SMBP adherence, meal satisfaction, input from partner organizations and stakeholders, effort, and food costs. We used the RE-AIM framework to analyze implementation. Study Reach included 94 older, racially diverse participants reflecting neighborhood characteristics. Effectiveness: change in systolic BP at Month 1 trended towards significance (-4 mmHg,

Indexed as

COVID-19HypertensionAgedBlood PressureHumansLunchMealsagingblood pressurecardiovascular diseaseDASH diethypertensionimplementationinterventionolder adultsRE-AIMself-monitored blood pressuresenior centers

Identifiers

PMID36432576
PMCPMC9699075
OpenAlexW4309737300

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.