Evidence map›Paper›PMID 24050427›Full record

SynthesisAmerican journal of preventive medicine2013

Current mHealth technologies for physical activity assessment and promotion.

Gillian A O'Reilly, Donna Spruijt-Metz

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in American journal of preventive medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 7 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.

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

71 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  7. The Technological Growth in eHealth Services.Computational and mathematical methods in medicine · 2015
    Pooled it
  8. Trial
  9. Application of Personalized Education in the Mobile Medical App for Breast Self-Examination.International journal of environmental research and public health · 2022
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  11. A text message intervention to reduce 21st birthday alcohol consumption: Evaluation of a two-group randomized controlled trial.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2018
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11 more citing papers are in PubMed but not listed here.

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

2 authors.

Gillian A O'ReillyDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California. Electronic address: goreilly@usc.edu.
Donna Spruijt-Metz

Funding

Using resistance training to reduce metabolic and cardiovascular disease risk inP60MD002254 · NIMHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GORAN, MICHAEL ISAAC · 2007 to 2011
$8.1M
Training grant for Cancer Control and EpidemiologyT32CA009492 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN · 1985 to 2019
$7.4M
Virtual Sprouts: Web-based Gardening Games to Teach Nutrition and Combat ObesityR25OD011113 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RAGUSA, GISELE, SPRUIJT-METZ, DONNA D · 2012 to 2015
$874k
NCI NIH HHS T32 CA009492NIH HHS R25 OD011113NIMHD NIH HHS P60 MD002254NIMHD NIH HHS P60MD002254-01
6 · The paper itself

Abstract

contextNovel mobile assessment and intervention capabilities are changing the face of physical activity (PA) research. A comprehensive systematic review of how mobile technology has been used for measuring PA and promoting PA behavior change is needed. EVIDENCE ACQUISITION: Article collection was conducted using six databases from February to June 2012 with search terms related to mobile technology and PA. Articles that described the use of mobile technologies for PA assessment, sedentary behavior assessment, and/or interventions for PA behavior change were included. Articles were screened for inclusion and study information was extracted. EVIDENCE SYNTHESIS: Analyses were conducted from June to September 2012. Mobile phone-based journals and questionnaires, short message service (SMS) prompts, and on-body PA sensing systems were the mobile technologies most utilized. Results indicate that mobile journals and questionnaires are effective PA self-report measurement tools. Intervention studies that reported successful promotion of PA behavior change employed SMS communication, mobile journaling, or both SMS and mobile journaling.

conclusionsmHealth technologies are increasingly being employed to assess and intervene on PA in clinical, epidemiologic, and intervention research. The wide variations in technologies used and outcomes measured limit comparability across studies, and hamper identification of the most promising technologies. Further, the pace of technologic advancement currently outstrips that of scientific inquiry. New adaptive, sequential research designs that take advantage of ongoing technology development are needed. At the same time, scientific norms must shift to accept "smart," adaptive, iterative, evidence-based assessment and intervention technologies that will, by nature, improve during implementation.

Indexed as

Cell PhoneExerciseMicrocomputersHealth PromotionHumansTelemedicineUser-Computer Interface

Identifiers

PMID24050427
PMCPMC4199827

What OpenQuestion holds

Textmetadata
LicenceTDM
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.