Evidence map›Paper›PMID 24876625›Full record

ReviewJournal of diabetes science and technology2014

The technology boom: a new era in obesity management.

L Anne Gilmore, Abby F Duhé, Elizabeth A Frost, Leanne M Redman

Abstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

L Anne GilmorePennington Biomedical Research Center, Baton Rouge, LA, USA.
Abby F DuhéPennington Biomedical Research Center, Baton Rouge, LA, USA.
Elizabeth A FrostPennington Biomedical Research Center, Baton Rouge, LA, USA.
Leanne M RedmanPennington Biomedical Research Center, Baton Rouge, LA, USA leanne.redman@pbrc.edu.

Funding

Expecting Success: Personalized management of body weight during pregnancyU01DK094418 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI REDMAN, LEANNE MAREE · 2011 to 2015
$2.8M
Determinants of gestational weight gain in obese pregnant womenR01DK099175 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI REDMAN, LEANNE MAREE · 2013 to 2015
$1.8M
Effects of weight and insulin sensitivity on reproductive function in PCOSR00HD060762 · NICHD · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI REDMAN, LEANNE MAREE · 2011 to 2013
$717k
NICHD NIH HHS R00 HD060762NICHD NIH HHS R00HD060762NIDDK NIH HHS R01 DK099175NIDDK NIH HHS R01DK099175NIDDK NIH HHS U01 DK094418NIDDK NIH HHS U01DK094418
6 · The paper itself

Abstract

As technology continues to develop rapidly, the incidence of obesity also continues to climb at an alarming rate. The increase in available technology is thought to be a contributor in the obesogenic environment, yet at the same time technology can also be used to intervene and improve health and health behaviors. This article reviews the components of effective weight management programs and the novel role that technology, such as SMS, websites, and smartphone apps, is playing to improve the success of such programs. Use of these modern technologies can now allow for individualized treatment recommendations to be delivered to individuals remotely, increased self-monitoring/tracking of health-related data, broader and more rapid dissemination of health information/recommendations, and increased patient-dietician/physician contact. The use of technology in weight management programs results in improved long-term weight management, and in most cases improved cost-effectiveness. Rather than blaming increased food intake and sedentary lifestyle on technology, rapidly developing and innovative technologies should be used to our advantage and deployed to combat the obesity epidemic.

Indexed as

Biomedical TechnologyDelivery of Health CareEnergy IntakeHumansInternetLife StyleMobile ApplicationsObesityRisk FactorsSedentary BehaviorSmartphoneTelemedicineTreatment OutcomeWeight LossInternetobesitysmartphoneweight loss

Identifiers

PMID24876625
PMCPMC4455431

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.