Evidence map›Paper›PMID 26236766›Full record

ArticleAdvanced health care technologies2015

Smartphone applications to support weight loss: current perspectives.

Christine A Pellegrini, Angela F Pfammatter, David E Conroy, Bonnie Spring

Registry-linked trialAbstract read
In one paragraph

Article in Advanced health care technologies, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01814072 (Opt-IN), which is not on this map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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.

NCT01814072 phase2 / phase3completednot on this map

Opt-IN: Optimization of Remotely Delivered Intensive Lifestyle Treatment for Obesity

TypeinterventionalSponsorNorthwestern UniversityRan2013 to 2017Enrolled562ConditionsWeight LossArms12 Telephone Coaching Sessions, 24 Telephone Coaching Sessions, Report to Primary Care Physician, Text Messages, Recommendations to use meal replacements
3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

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  16. An expandable approach for design and personalization of digital, just-in-time adaptive interventions.Journal of the American Medical Informatics Association : JAMIA · 2019
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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.

Christine A PellegriniDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Angela F PfammatterDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
David E ConroyDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Bonnie SpringDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9M
TRAINING U54EB020404 · NIBIB · UNIVERSITY OF MEMPHIS · PI KUMAR, SANTOSH · 2014 to 2018
$11.3M
Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MARSHALL H CHIN · 2011 to 2026
$10.0M
Multiple Behavior Change in Diet and ActivityR01HL075451 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SPRING, BONNIE · 2004 to 2014
$6.6M
Opt-IN: Optimizing INtensive Lifestyle Intervention for Weight LossR01DK097364 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI COLLINS, LINDA M, SPRING, BONNIE · 2012 to 2016
$3.0M
NCI NIH HHS P30 CA060553NHLBI NIH HHS R01 HL075451NIBIB NIH HHS U54 EB020404NIDDK NIH HHS P30 DK092949NIDDK NIH HHS R01 DK097364
6 · The paper itself

Abstract

Lower cost alternatives are needed for the traditional in-person behavioral weight loss programs to overcome challenges of lowering the worldwide prevalence of overweight and obesity. Smartphones have become ubiquitous and provide a unique platform to aid in the delivery of a behavioral weight loss program. The technological capabilities of a smartphone may address certain limitations of a traditional weight loss program, while also reducing the cost and burden on participants, interventionists, and health care providers. Awareness of the advantages smartphones offer for weight loss has led to the rapid development and proliferation of weight loss applications (apps). The built-in features and the mechanisms by which they work vary across apps. Although there are an extraordinary number of a weight loss apps available, most lack the same magnitude of evidence-based behavior change strategies typically used in traditional programs. As features develop and new capabilities are identified, we propose a conceptual model as a framework to guide the inclusion of features that can facilitate behavior change and lead to reductions in weight. Whereas the conventional wisdom about behavior change asserts that more is better (with respect to the number of behavior change techniques involved), this model suggests that less may be more because extra techniques may add burden and adversely impact engagement. Current evidence is promising and continues to emerge on the potential of smartphone use within weight loss programs; yet research is unable to keep up with the rapidly improving smartphone technology. Future studies are needed to refine the conceptual model's utility in the use of technology for weight loss, determine the effectiveness of intervention components utilizing smartphone technology, and identify novel and faster ways to evaluate the ever-changing technology.

Indexed as

dietobesityphysical activitytechnology

Identifiers

PMID26236766
PMCPMC4520704

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.