Evidence map›Paper›PMID 27367614›Full record

Trial reportObesity (Silver Spring, Md.)2016

Impact of newer self-monitoring technology and brief phone-based intervention on weight loss: A randomized pilot study.

Kathryn M Ross, Rena R Wing

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Obesity (Silver Spring, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 12 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

52 citing papers in PubMed, 12 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Effective behavior change techniques to promote physical activity in adults with overweight or obesity: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. The effectiveness of app-based mobile interventions on nutrition behaviours and nutrition-related health outcomes: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
    Pooled it
  13. Trial
  14. Trial
  15. An Evaluation of Alternative Technology-Supported Counseling Approaches to Promote Multiple Lifestyle Behavior Changes in Patients With Type 2 Diabetes and Chronic Kidney Disease.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2023
    Trial
  16. Effectiveness of Minimal Contact Interventions: An RCT.American journal of preventive medicine · 2021
    Trial
  17. Trial
  18. Trial
  19. Trial
  20. 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

2 authors.

Kathryn M RossDepartment of Psychiatry and Human Behavior, Weight Control & Diabetes Research Center, Alpert Medical School of Brown University and the Miriam Hospital, Providence, Rhode Island, USA.
Rena R WingDepartment of Psychiatry and Human Behavior, Weight Control & Diabetes Research Center, Alpert Medical School of Brown University and the Miriam Hospital, Providence, Rhode Island, USA.

Funding

NIDDK NIH HHS F32 DK100069
6 · The paper itself

Abstract

objectiveDespite the proliferation of newer self-monitoring technology (e.g., activity monitors and smartphone apps), their impact on weight loss outside of structured in-person behavioral intervention is unknown.

methodsA randomized, controlled pilot study was conducted to examine efficacy of self-monitoring technology, with and without phone-based intervention, on 6-month weight loss in adults with overweight and obesity. Eighty participants were randomized to receive standard self-monitoring tools (ST, n = 26), technology-based self-monitoring tools (TECH, n = 27), or technology-based tools combined with phone-based intervention (TECH + PHONE, n = 27). All participants attended one introductory weight loss session and completed assessments at baseline, 3 months, and 6 months.

resultsWeight loss from baseline to 6 months differed significantly between groups P = 0.042; there was a trend for TECH + PHONE (-6.4 ± 1.2 kg) to lose more weight than ST (-1.3 ± 1.2 kg); weight loss in TECH (-4.1 ± 1.4 kg) was between ST and TECH + PHONE. Fewer ST (15%) achieved ≥5% weight losses compared with TECH and TECH + PHONE (44%), P = 0.039. Adherence to self-monitoring caloric intake was higher in TECH + PHONE than TECH or ST, Ps < 0.05.

conclusionsThese results suggest use of newer self-monitoring technology plus brief phone-based intervention improves adherence and weight loss compared with traditional self-monitoring tools. Further research should determine cost-effectiveness of adding phone-based intervention when providing self-monitoring technology.

Indexed as

Cell PhoneAdultBehavior TherapyBody WeightDirective CounselingFemaleHumansMaleMiddle AgedObesityPilot ProjectsResearch DesignSelf ReportWeight LossWeight Reduction Programs

Identifiers

PMID27367614
PMCPMC4963263

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.