Evidence map›Paper›PMID 35356149›Full record

ArticleJournal of technology in behavioral science2021

The Behavioral Intervention with Technology for E-Weight Loss Study (BITES): Incorporating Energy Balance Models and the Bite Counter into an Online Behavioral Weight Loss Program.

Carly M Goldstein, Stephanie P Goldstein, Diana M Thomas, Adam Hoover, Dale S Bond, J Graham Thomas

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of technology in behavioral science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 22% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 3 institutions in 1 country.

Carly M GoldsteinThe Weight Control and Diabetes Research Center, The Miriam Hospital, Providence, RI 02903, USA.ORCID 0000-0002-6150-5649
Stephanie P GoldsteinThe Weight Control and Diabetes Research Center, The Miriam Hospital, Providence, RI 02903, USA.
Diana M ThomasDepartment of Mathematical Sciences, The United States Military Academy, West Point, NY 10996, USA.
Adam HooverHolcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC 29634, USA.
Dale S BondThe Weight Control and Diabetes Research Center, The Miriam Hospital, Providence, RI 02903, USA.
J Graham ThomasThe Weight Control and Diabetes Research Center, The Miriam Hospital, Providence, RI 02903, USA.
Brown University · USClemson University · USUnited States Military Academy · US

Funding

Optimization and Evaluation of a Tailored Behavioral eHealth/mHealth Weight Loss Intervention for Cardiac Rehabilitation Patients Using the Multiphase Optimization StrategyK23HL136845 · NHLBI · MIRIAM HOSPITAL · PI GOLDSTEIN, CARLY MICHELLE · 2018 to 2022
$930k
Applying Novel Passive Sensing Technology to Target Adherence to Diet in Behavioral Obesity Treatment for Patients with Cardiovascular Disease RiskF32HL143954 · NHLBI · MIRIAM HOSPITAL · PI GOLDSTEIN, STEPHANIE PAIGE · 2018 to 2019
$119k
NHLBI NIH HHS F32 HL143954NHLBI NIH HHS K23 HL136845
6 · The paper itself

Abstract

This study evaluated feasibility and acceptability of adding energy balance modeling displayed on weight graphs combined with a wrist-worn bite counting sensor against a traditional online behavioral weight loss program. Adults with a BMI of 27-45 kg/m

Indexed as

EatingFeeding behaviorObesity managementTechnologyWeight loss

Identifiers

PMID35356149
PMCPMC8963133
OpenAlexW3110623335

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.