Evidence map›Paper›PMID 35311677›Full record

Trial reportJournal of medical Internet research2022

Clinical Outcomes Among Working Adults Using the Health Integrator Smartphone App: Analyses of Prespecified Secondary Outcomes in a Randomized Controlled Trial.

Stephanie Bonn, Gabriella Licitra, Rino Bellocco, Ylva Trolle Lagerros

Erratum issued Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03579342 (Using App-technology and a Personalized Health Plan to Improve Lifestyle Habits Among Working Adults - a Randomized Controlled Trial), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 21% 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.

NCT03579342 nacompletednot on this map

Using App-technology and a Personalized Health Plan to Improve Lifestyle Habits Among Working Adults - a Randomized Controlled Trial

TypeinterventionalSponsorKarolinska InstitutetRan2018 to 2019Enrolled209ConditionsLifestyle, Quality of Life, mHealth, Mobile ApplicationsArmsApp-technology and active coaching to improve lifestyles behaviors, App-technology to improve lifestyle behaviors
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 2 countries.

Stephanie BonnClinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-2219-7970
Gabriella LicitraClinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-0547-3435
Rino BelloccoDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-2538-0287
Ylva Trolle LagerrosClinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-6816-7577
Karolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a need to find new methods that can enhance the individuals' engagement in self-care and increase compliance to a healthy lifestyle for the prevention of noncommunicable diseases and improved quality of life. Mobile health (mHealth) apps could provide large-scale, cost-efficient digital solutions to implement lifestyle change, which as a corollary may enhance quality of life.

objectiveHere we evaluate if the use of a smartphone-based self-management system, the Health Integrator app, with or without telephone counseling by a health coach, had an effect on clinical variables (secondary outcomes) of importance for noncommunicable diseases.

methodsThe study was a 3-armed parallel randomized controlled trial. Participants were randomized to a control group or to 1 of 2 intervention groups using the Health Integrator app with or without additional telephone counseling for 3 months. Clinical variables were assessed before the start of the intervention (baseline) and after 3 months. Due to the nature of the intervention, targeting lifestyle changes, participants were not blinded to their allocation. Robust linear regression with complete case analysis was performed to study the intervention effect among the intervention groups, both in the entire sample and stratifying by type of work (office worker vs bus driver) and sex.

resultsComplete data at baseline and follow-up were obtained from 205 and 191 participants, respectively. The mean age of participants was 48.3 (SD 10) years; 61.5% (126/205) were men and 52.2% (107/205) were bus drivers. Improvements were observed at follow-up among participants in the intervention arms. There was a small statistically significant effect on waist circumference (β=-0.97, 95% CI -1.84 to -0.10) in the group receiving the app and additional coach support compared to the control group, but no other statistically significant differences were seen. However, participants receiving only the app had statistically significantly lower BMI (β=-0.35, 95% CI -0.61 to -0.09), body weight (β=-1.08, 95% CI -1.92 to -0.26), waist circumference (β=-1.35, 95% CI -2.24 to -0.45), and body fat percentage (β=-0.83, 95% CI -1.65 to -0.02) at follow-up compared to the controls. There was a statistically significant difference in systolic blood pressure between the two intervention groups at follow-up (β=-3.74, 95% CI -7.32 to -0.16); no other statistically significant differences in outcome variables were seen.

conclusionsParticipants randomized to use the Health Integrator smartphone app showed small but statistically significant differences in body weight, BMI, waist circumference, and body fat percentage compared to controls after a 3-month intervention. The effect of additional coaching together with use of the app is unclear.

trial registrationClinicalTrials.gov NCT03579342; https://clinicaltrials.gov/ct2/show/NCT03579342. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12889-019-6595-6.

Indexed as

Mobile ApplicationsSelf-ManagementAdultHealthy LifestyleHumansMaleMiddle AgedQuality of LifeSmartphoneadultsbody compositionexerciseHbA1chealthy lifestylemetabolic healthmobile apprandomized controlled trialsmartphone

Identifiers

PMID35311677
PMCPMC8946520
OpenAlexW4220856544

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.