Evidence map›Paper›PMID 27528528›Full record

ArticleTranslational behavioral medicine2016

Do Arabic weight-loss apps adhere to evidence-informed practices?

Aroub A Alnasser, Raja E Amalraj, Arjuna Sathiaseelan, Abdulrahman S Al-Khalifa, Debbi Marais

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

Aroub A AlnasserDepartment of Food Science and Nutrition, King Saud University, Riyadh, Saudi Arabia. aroub@ksu.edu.sa.
Raja E AmalrajDivision of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
Arjuna SathiaseelanComputer Laboratory, University of Cambridge, Cambridge, UK.
Abdulrahman S Al-KhalifaDepartment of Food Science and Nutrition, King Saud University, Riyadh, Saudi Arabia.
Debbi MaraisDivision of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile technology has been used successfully for promoting health and weight loss and for treating obesity. There is a high prevalence of smartphone and tablet users among the Saudi population. This study aimed to identify whether current Arabic weight-loss apps had features that adhered to evidence-informed practices. The six most relevant app stores were systematically searched using the Arabic words for weight and diet (n = 298). All apps that met the inclusion criteria (n = 65) were downloaded and examined for adherence to 13 evidence-informed practices. Latent class analysis identified two subgroups of apps: self-monitoring (15 % of apps) and advice-giving apps (85 %). The median number of evidence-informed practices was 1 (1, 2), with no apps having more than six and only nine apps including four to six. Meal planning was the most common feature (38 % of apps). These findings identify serious weaknesses in the currently available Arabic weight-loss apps. Thus, existing and future apps should include more features based on the best available evidence in the context of Arab culture.

Indexed as

Guideline AdherenceEvidence-Based PracticeGuidelines as TopicHumansMobile ApplicationsObesitySaudi ArabiaSmartphoneWeight Reduction ProgramsAppsArabicSmartphonesTabletsWeight lossWeight reduction programs

Identifiers

PMID27528528
PMCPMC4987602

What OpenQuestion holds

Textmetadata
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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.