Evidence map›Paper›PMID 33624440›Full record

SynthesisObesity (Silver Spring, Md.)2021

Self-Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity.

Michele L Patel, Lindsay N Wakayama, Gary G Bennett

Registry-linked trialAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Obesity (Silver Spring, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05866107 (Effectiveness and Feasibility of Self-Monitoring for Weight Management in Individuals With Mental Disorders Using Digital Intervention), which is not on this map. Cited by 105 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 10 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.

NCT05866107 narecruitingnot on this mapstarted 2023, after this paper: background citation

Effectiveness and Feasibility of Self-Monitoring for Weight Management in Individuals With Mental Disorders Using Digital Intervention ("SWIM" Trial)

TypeinterventionalSponsorCapital Medical UniversityRan2023 to 2025Enrolled204ConditionsSchizophrenia, Bipolar Disorder, Metabolic Syndrome, Overweight and ObesityArmsEffectiveness and Feasibility of Self-Monitoring for Weight Management in Individuals with Mental Disorders Using Digital Intervention ("SWIM" trial)
3 · Its place in the literature

Who cites it

105 citing papers in PubMed, 10 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Trial
  16. Trial
  17. Trial
  18. Trial
  19. Trial
  20. Trial

45 more citing papers are in PubMed but not listed here.

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

3 authors.

Michele L PatelStanford Prevention Research Center, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0001-5307-4861
Lindsay N WakayamaIntegrated Care Psychology, San Francisco VA Health Care System, San Francisco, California, USA.
Gary G BennettDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina, USA.ORCID 0000-0002-4740-9175

Funding

CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
NHLBI NIH HHS T32 HL007034NHLBI NIH HHS T32HL007034
6 · The paper itself

Abstract

objectiveSelf-monitoring is a core component of behavioral obesity treatment, but it is unknown how digital health has been used for self-monitoring, what engagement rates are achieved in these interventions, and how self-monitoring and weight loss are related.

methodsThis systematic review examined digital self-monitoring in behavioral weight loss interventions among adults with overweight or obesity. Six databases (PubMed, Embase, Scopus, PsycInfo, CINAHL, and ProQuest Dissertations & Theses) were searched for randomized controlled trials with interventions ≥ 12 weeks, weight outcomes ≥ 6 months, and outcomes on self-monitoring engagement and their relationship to weight loss.

resultsThirty-nine studies from 2009 to 2019 met inclusion criteria. Among the 67 interventions with digital self-monitoring, weight was tracked in 72% of them, diet in 81%, and physical activity in 82%. Websites were the most common self-monitoring modality, followed by mobile applications, wearables, electronic scales, and, finally, text messaging. Few interventions had digital self-monitoring engagement rates ≥ 75% of days. Rates were higher in digital- than in paper-based arms in 21 out of 34 comparisons and lower in just 2. Interventions with counseling had similar rates to standalone interventions. Greater digital self-monitoring was linked to weight loss in 74% of occurrences.

conclusionsSelf-monitoring via digital health is consistently associated with weight loss in behavioral obesity treatment.

Indexed as

Mobile ApplicationsAdultBehavior TherapyBody WeightDietExerciseFemaleHumansMaleMonitoring, PhysiologicObesityOverweightRandomized Controlled Trials as TopicSelf-ManagementTelemedicineWeight Loss

Identifiers

PMID33624440
PMCPMC12838191

What OpenQuestion holds

Textmetadata
LicenceTDM
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.