Evidence map›Paper›PMID 40059110›Full record

Trial reportThe Journal of cardiovascular nursing

Digital Health Technologies to Promote Healthy Eating and Physical Activity and Reduce Risk Factors for Cardiovascular Disease in Older Adults: A Pilot Study.

Marysol Cacciata, Dion Candelaria, Andrew Thomas Reyes, Reimund Serafica, Janett A Hildebrand, Axel Santa Maria, Jung-Ah Lee, Anna Strömberg, Lorraine S Evangelista

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of cardiovascular nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. [Application of Digital Nutrition Technologies in Adult Weight Management].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
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

9 authors.

Dion Candelaria
Andrew Thomas Reyes
Reimund Serafica
Janett A Hildebrand
Axel Santa Maria
Jung-Ah Lee
Anna Strömberg
Lorraine S Evangelista

Funding

Fitness Intensive Therapy (Get FIT) to Promote Healthy Living in Older AdultsR21AG053162 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI EVANGELISTA, LORRAINE S · 2018 to 2019
$425k
NIA NIH HHS R21 AG053162
6 · The paper itself

Abstract

backgroundDigital health technologies can promote healthy aging, diagnosis, treatment, self-care, and prevention to reduce inequities. However, limited data exist on the feasibility and efficacy of these technologies for healthy lifestyle behaviors and clinical outcomes for older adults at risk for cardiovascular disease.

objectivesThe purpose of this pilot study was to evaluate the feasibility of the study protocol for factors impacting process, resources, and safety and compared changes in eating patterns, physical activity, and clinical outcomes in participants randomized to Get FIT vs Get FIT + at baseline and 12 weeks.

methodsOlder adults (65.6 ± 5.8 years, 61% women, 61% married, 50% Asians, 6% Whites, 33% Hispanics, 11% Blacks) were randomized to Get FIT (n = 24) or Get Fit+ (n = 30) for 12 weeks. Get FIT included 1 in-person counseling session, a participant handbook, an activity tracker, and access to a nutrition app. Get Fit+ added weekly personalized motivational text messages.

resultsAll feasibility measures were excellent, with 100% consent and retention at 12 weeks. Both groups gradually increased moderate to vigorous exercise and lowered calorie intake. The Get Fit+ and Get Fit participants reported 6% and 1% weight loss, respectively. Blood pressure, lipid profiles, and HgbAa1C improved for all participants. However, improvements in high-density lipoprotein cholesterol and triglycerides were more significant in the Get FIT + group.

conclusionOur findings suggest that Get Fit+ can promote healthy lifestyle behaviors in older adults while lowering cardiovascular disease risk factors. A large Randomized Control Trial is needed to determine the efficacy of this intervention's personalized text-messaging feature in this population.

Indexed as

Cardiovascular DiseasesDiet, HealthyDigital HealthExerciseHealth PromotionAgedFeasibility StudiesFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedPilot ProjectsTelemedicinedietdigital health technologiesexerciserandomized clinical trial

Identifiers

PMID40059110
PMCPMC12334334

What OpenQuestion holds

Textmetadata
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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.