Evidence map›Paper›PMID 30758514›Full record

SynthesisInternational journal of public health2019

What is the role of smartphones on physical activity promotion? A systematic review and meta-analysis.

Natan Feter, Tiago Silva Dos Santos, Eduardo Lucia Caputo, Marcelo Cozzensa da Silva

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in International journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 8 pooled it
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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

52 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  13. International journal of environmental research and public health · 2023
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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

4 authors.

Natan FeterFederal University of Pelotas, Pelotas, Brazil. natanfeter@hotmail.com.
Tiago Silva Dos SantosFederal University of Pelotas, Pelotas, Brazil.
Eduardo Lucia CaputoFederal University of Pelotas, Pelotas, Brazil.
Marcelo Cozzensa da SilvaFederal University of Pelotas, Pelotas, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify and evaluate the effect of interventions that used cell phones as a means to promote physical activity (PA).

methodsThe databases searched were MedLine/PubMed, Scopus, SPORTDiscus, PsycINFO, Science Direct, Lilacs, and SciELO. After removing duplicates, applying exclusion criteria, and checking the reference lists, 45 studies were reviewed. The Downs and Black (D&B) scale measured methodological quality, and a random effect model was used to compute the meta-analysis of PA by the reported unit (minutes per day or steps per day), delivery agent (application (APP), SMS, or other), and PA measurement (questionnaire, accelerometer, pedometer).

resultsMobile phone-based PA interventions were efficient in increasing both minutes [10.49; CI (3.37-17.60); p = 0.004] and steps per day [735.17; CI (227.72-1242.61); p = 0.005] in adults when compared to baseline. Furthermore, APP-based interventions were able to increase the number of steps (p = 0.04) and minutes per day of PA (p = 0.04) in adults. Also, 85% of included manuscripts were classified as moderate- to high-quality articles.

conclusionsMobile phone-based PA interventions, inclusive those delivery by APP, were effective to increase minutes and steps per day in adults.

Indexed as

Cell PhoneMotivationSmartphoneActigraphyAdultAgedExerciseFemaleHealth PromotionHumansMaleMiddle AgedSurveys and QuestionnairesAdultsInterventionsMobile devicesPhysical activity

Identifiers

PMID30758514

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.