Evidence map›Paper›PMID 38502160›Full record

SynthesisJournal of medical Internet research2024

The Use of Mobile Technologies to Promote Physical Activity and Reduce Sedentary Behaviors in the Middle East and North Africa Region: Systematic Review and Meta-Analysis.

Huong Ly Tong, Aroub Alnasser, Najim Z Alshahrani, Rowaedh A Bawaked, Reem AlAhmed, Reem F Alsukait, Severin Rakic, Volkan Cetinkaya, Hazzaa M Al-Hazzaa, Saleh A Alqahtani

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  8. Staying engaged: a scoping review of psychological and motivational drivers of adherence to technology-supported physical activity in older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Huong Ly TongCultural and Indigenous Research Centre Australia, Redfern, Australia.ORCID 0000-0002-8462-0105
Aroub AlnasserDepartment of Food Science and Nutrition, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0003-2389-5145
Najim Z AlshahraniDepartment of Family and Community Medicine, Faculty of Medicine, University of Jeddah, Jeddah, Saudi Arabia.ORCID 0000-0002-2163-004X
Rowaedh A BawakedDepartment of Public Health, Saudi Electronic University, Riyadh, Saudi Arabia.ORCID 0000-0002-8161-0454
Reem AlAhmedDepartment of Biostatistics, Epidemiology and Scientific Computing, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.ORCID 0000-0001-6302-5932
Reem F AlsukaitThe World Bank Group, Washington, DC, United States.ORCID 0000-0003-0797-0643
Severin RakicThe World Bank Group, Washington, DC, United States.ORCID 0000-0001-5401-3614
Volkan CetinkayaThe World Bank Group, Washington, DC, United States.ORCID 0009-0006-1782-6775
Hazzaa M Al-HazzaaHealth Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID 0000-0002-3099-0389
Saleh A AlqahtaniOrgan Transplant Center of Excellence, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.ORCID 0000-0003-2017-3526

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Middle East and North Africa (MENA) region faces unique challenges in promoting physical activity and reducing sedentary behaviors, as the prevalence of insufficient physical activity is higher than the global average. Mobile technologies present a promising approach to delivering behavioral interventions; however, little is known about the effectiveness and user perspectives on these technologies in the MENA region.

objectiveThis study aims to evaluate the effectiveness of mobile interventions targeting physical activity and sedentary behaviors in the MENA region and explore users' perspectives on these interventions as well as any other outcomes that might influence users' adoption and use of mobile technologies (eg, appropriateness and cultural fit).

methodsA systematic search of 5 databases (MEDLINE, Embase, CINAHL, Scopus, and Global Index Medicus) was performed. Any primary studies (participants of all ages regardless of medical condition) conducted in the MENA region that investigated the use of mobile technologies and reported any measures of physical activity, sedentary behaviors, or user perceptions were included. We conducted a narrative synthesis of all studies and a meta-analysis of randomized controlled trials (RCTs). The Cochrane risk-of-bias tool was used to assess the quality of the included RCTs; quality assessment of the rest of the included studies was completed using the relevant Joanna Briggs Institute critical appraisal tools.

resultsIn total, 27 articles describing 22 interventions (n=10, 37% RCTs) and 4 (15%) nonexperimental studies were included (n=6141, 46% women). Half (11/22, 50%) of the interventions included mobile apps, whereas the other half examined SMS. The main app functions were goal setting and self-monitoring of activity, whereas SMS interventions were primarily used to deliver educational content. Users in experimental studies described several benefits of the interventions (eg, gaining knowledge and receiving reminders to be active). Engagement with the interventions was poorly reported; few studies (8/27, 30%) examined users' perspectives on the appropriateness or cultural fit of the interventions. Nonexperimental studies examined users' perspectives on mobile apps and fitness trackers, reporting several barriers to their use, such as perceived lack of usefulness, loss of interest, and technical issues. The meta-analysis of RCTs showed a positive effect of mobile interventions on physical activity outcomes (standardized mean difference=0.45, 95% CI 0.17-0.73); several sensitivity analyses showed similar results. The trim-and-fill method showed possible publication bias. Only 20% (2/10) of the RCTs measured sedentary behaviors; both reported positive changes.

conclusionsThe use of mobile interventions for physical activity and sedentary behaviors in the MENA region is in its early stages, with preliminary evidence of effectiveness. Policy makers and researchers should invest in high-quality studies to evaluate long-term effectiveness, intervention engagement, and implementation outcomes, which can inform the design of culturally and socially appropriate interventions for countries in the MENA region.

trial registrationPROSPERO CRD42023392699; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=392699.

Indexed as

ExerciseHealth PromotionMobile ApplicationsSedentary BehaviorAfrica, NorthernHumansMiddle EastAfrica, Northernbehavior changedigital healthexercisefitness trackersinterventionmHealthMiddle Eastmobile appsmobile healthmobile phonemovementphysical activityphysical inactivitysedentary behaviorsmartphoneSMSSMS text messaging

Identifiers

PMID38502160
PMCPMC10988381

What OpenQuestion holds

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LicenceCC BY
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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.