Evidence map›Paper›PMID 33983491›Full record

ReviewCurrent atherosclerosis reports2021

mHealth Technology and CVD Risk Reduction.

Maan Isabella Cajita, Yaguang Zheng, Jacob Kigo Kariuki, Karen M Vuckovic, Lora E Burke

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 12 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

5 authors at 3 institutions in 1 country.

Maan Isabella CajitaCollege of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., Room 756, Chicago, IL, USA. mcajit2@uic.edu.ORCID 0000-0002-2331-1229
Yaguang ZhengRory Meyers College of Nursing, New York University, New York, NY, USA.ORCID 0000-0002-8400-1398
Jacob Kigo KariukiSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-2423-6029
Karen M VuckovicCollege of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., Room 756, Chicago, IL, USA.ORCID 0000-0001-8740-5526
Lora E BurkeSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-2434-9867
University of Illinois Chicago · USUniversity of Pittsburgh · USNew York University · US

Funding

Institutional Career DevelopmentKL2TR002002 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PHILLIPS, SHANE A · 2016 to 2024
$6.8M
Postpartum Weight Retention and Cardiometabolic Disparities: The Effects of Contexual, Psychosocial, and Behavioral FactorsR01HL135218 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MENDEZ, DARA DANEEN · 2017 to 2021
$3.4M
Promoting Lifestyle Change via Tailored mHealth To Improve Health, HL131583R01HL131583 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BURKE, LORA EMILIE, CONROY, MARGARET B · 2017 to 2020
$3.1M
The FAITH! Trial: A mHealth Intervention to Improve Cardiovascular Health Among African-AmericansR21MD013490 · NIMHD · MAYO CLINIC ROCHESTER · PI BREWER, LAPRINCESS C · 2019 to 2020
$452k
NCATS NIH HHS KL2 TR002002NHLBI NIH HHS R01 HL131583NHLBI NIH HHS R01 HL135218NIMHD NIH HHS R21 MD013490
6 · The paper itself

Abstract

purpose of reviewTo review existing mHealth-based interventions and examine their efficacy in reducing cardiovascular disease (CVD) risk factors. RECENT

findingsA total of 50 articles are included in this review. The majority of the mHealth interventions targeted a specific CVD risk factor, while 4 addressed 2 or more CVD risk factors. Of the 9 mHealth-supported weight loss intervention trials, 4 resulted in significant weight loss. Four out of 7 RCTs targeting improvement in physical activity reported significant improvement, while 4 of the 8 mHealth-supported smoking cessation intervention trials resulted in smoking abstinence. Of the 10 mHealth-based diabetes intervention trials, 5 reported significant reductions in HbA1c; however, only 3 out of the 9 antihypertension interventions resulted in significant reductions in blood pressure. There is a growing body of literature focused on mHealth interventions that address CVD risk factors. Despite the immense potential of mHealth interventions, evidence of their efficacy in mitigating cardiovascular risk is heterogeneous.

Indexed as

Cardiovascular DiseasesTelemedicineExerciseHumansRisk Reduction BehaviorTechnologyCardiovascular diseaseCVD risk factorsmHealthPhysical activitySmokingWeight loss

Identifiers

PMID33983491
OpenAlexW3162997694

What OpenQuestion holds

Textmetadata
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.