Evidence map›Paper›PMID 30905430›Full record

Trial reportJournal of the Academy of Nutrition and Dietetics2019

The Effect of a Digital Behavioral Weight Loss Intervention on Adherence to the Dietary Approaches to Stop Hypertension (DASH) Dietary Pattern in Medically Vulnerable Primary Care Patients: Results from a Randomized Controlled Trial.

Dori Steinberg, Melissa Kay, Jasmine Burroughs, Laura P Svetkey, Gary G Bennett

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the Academy of Nutrition and Dietetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07074145 (WEAVE NM Project), which is not on this map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
–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.

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.

NCT07074145 narecruitingnot on this mapstarted 2025, after this paper: background citation

WEAVE NM Project: Heart Health and Nutrition for Life (HHNL)

TypeinterventionalSponsorUniversity of New MexicoRan2025 to 2027Enrolled240ConditionsHypertensionArmsHeart Health and Nutrition for Life (HHNL), Self-Measured Blood Pressure
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  19. Digital Solutions Observed in Clinical Trials: A Formative Feasibility Scoping Review.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023
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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

5 authors.

Dori Steinberg
Melissa Kay
Jasmine Burroughs
Laura P Svetkey
Gary G Bennett

Funding

Interdisciplinary Research Careers in Women's HealthK12HD043446 · NICHD · DUKE UNIVERSITY · PI AMUNDSEN, CINDY · 2002 to 2023
$9.6M
New Media Obesity Treatment in Community Health CentersR01DK093829 · NIDDK · DUKE UNIVERSITY · PI BENNETT, GARY G · 2012 to 2016
$3.2M
NICHD NIH HHS K12 HD043446NIDDK NIH HHS R01 DK093829
6 · The paper itself

Abstract

backgroundObesity treatment focuses primarily on reducing overall caloric intake with limited focus on improving diet quality. The Dietary Approaches to Stop Hypertension (DASH) dietary pattern is effective in managing hypertension and other chronic conditions, yet it is not clear whether behavioral weight control interventions improve DASH adherence. We conducted a post hoc analysis of a behavioral weight loss intervention that did not emphasize diet quality and examined whether the intervention impacted DASH adherence in medically vulnerable community health center patients.

methodsParticipants (n=306) were enrolled in Track, a randomized controlled weight loss intervention for patients with elevated cardiovascular risk. The trial compared usual care to an intervention with weekly self-monitoring, tailored feedback on diet and exercise goals, and dietitian and provider counseling in community health centers. Dietary intake was measured using the Block Food Frequency Questionnaires collected at baseline and 12 months. DASH adherence was determined using previously validated scoring indices that assessed adherence based on recommended nutrient or food group targets. Total scores for both indices ranged from 0 to 9, with higher scores indicating greater DASH adherence.

resultsThe mean (and standard deviation [SD]) age of participants was 51.1 (SD=8.8) years and the mean body mass index was 35.9 (SD=3.9). Most were female (69%) and black (51%); 13% were Hispanic. Half (51%) had an annual income <$25,000 and 33% had both diabetes and hypertension. At baseline, the mean DASH nutrient score was 1.81 (SD=1.42) with 6% achieving at least a score of 4.5. Similar scores were seen for the DASH foods index. The intervention group saw significantly greater, albeit small, improvements in mean DASH nutrient score (intervention: 1.28 [SD=1.5] vs control: 0.20 [SD=1.3]; P<0.001), and there was no difference in DASH food score between study arms. There were no significant predictors of change in DASH score and no association between DASH adherence and changes in blood pressure. Within the intervention arm, improvements in DASH nutrient score were associated with greater weight loss (r=-0.28; P=0.003).

conclusionAlthough the intervention was not designed to increase adoption of DASH, the Track intervention produced significant weight loss and small improvements in DASH adherence. Despite these small improvements, overall adoption of DASH was poor among the medically vulnerable patients enrolled in Track. To further reduce chronic disease burden, weight loss interventions should include a focus on both caloric restriction and increasing diet quality.

Indexed as

Behavior TherapyBody Mass IndexCounselingDietary Approaches To Stop HypertensionDiet, HealthyDiet SurveysFemaleHealth BehaviorHumansMaleMiddle AgedObesityPatient CompliancePrimary Health CareTreatment OutcomeVulnerable PopulationsDASH dietDiet qualityHypertensionPrimary careWeight loss

Identifiers

PMID30905430
PMCPMC6435296

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Registered trials

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.