Evidence map›Paper›PMID 30801253›Full record

ArticleJMIR formative research2019

Using Mobile Technology to Improve Bone-Related Lifestyle Risk Factors in Young Women With Low Bone Mineral Density: Feasibility Randomized Controlled Trial.

Asvini Kokila Subasinghe, Suzanne Marie Garland, Alexandra Gorelik, Ilona Tay, John Dennis Wark

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The Barriers and Facilitators to the Use of Lifestyle Apps: A Systematic Review of Qualitative Studies.European journal of investigation in health, psychology and education · 2022
    Review
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 2 institutions in 1 country.

Asvini Kokila SubasingheInfection and Immunity Theme, Murdoch Children's Research Institute, Parkville, Australia.ORCID http://orcid.org/0000-0001-6045-2728
Suzanne Marie GarlandInfection and Immunity Theme, Murdoch Children's Research Institute, Parkville, Australia.ORCID http://orcid.org/0000-0002-6869-311X
Alexandra GorelikSchool of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia.ORCID http://orcid.org/0000-0003-1032-0457
Ilona TayDepartment of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia.ORCID http://orcid.org/0000-0002-8369-5180
John Dennis WarkDepartment of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia.ORCID http://orcid.org/0000-0003-2431-7902
The Royal Melbourne Hospital · AURoyal Women's Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoor bone health in adolescent and young adult females is a growing concern. Given the widespread use of mobile phones in this population, mobile health (mHealth) interventions may help improve health behaviors related to bone health in young women.

objectiveThe goal of the study was to determine the acceptability and feasibility of an mHealth intervention called Tap4Bone in improving health behaviors associated with the risk of osteoporosis in young women.

methodsThe Tap4Bone mHealth intervention comprised the use of mobile phone apps, short messaging service (text messaging), and Web emails to encourage health behavior changes. The education group received osteoporosis prevention education leaflets. Changes in the bone health-related behaviors exercise, smoking, and calcium intake were assessed. User experiences and acceptance of the app were collected through focus group interviews.

resultsA total of 35 (22 completed, mean age 23.1 [SD 1.8] years) were randomized to either the mobile phone (intervention n=18) or education (control n=17) group. Although there were trends toward improvement in calcium intake, sports activity, and smoking behaviors in the mHealth intervention group compared to the education group, these were not statistically significant.

conclusionsThe Tap4Bone mHealth intervention was shown to be acceptable and feasible in subsets of the participants. The intervention should be improved upon using participant feedback to improve functionality. Findings from this study may aid in the development and modification of health care apps to reduce participant attrition.

Indexed as

behavior therapy methodshealth behaviormobile phonesprimary prevention methodsself-care methods

Identifiers

PMID30801253
PMCPMC6409511
OpenAlexW2901777793

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.