Evidence map›Paper›PMID 35137557›Full record

ArticleObesity (Silver Spring, Md.)2022

In their own words: Topic analysis of the motivations and strategies of over 6,000 long-term weight-loss maintainers.

Suzanne Phelan, James Roake, Noemi Alarcon, Sarah M Ng, Hunter Glanz, Michelle I Cardel, Gary D Foster

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline 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

7 authors.

Suzanne PhelanDepartment of Kinesiology and Public Health, Center for Health Research, California Polytechnic State University, San Luis Obispo, California, USA.ORCID 0000-0003-2260-0499
James RoakeDepartment of Kinesiology and Public Health, Center for Health Research, California Polytechnic State University, San Luis Obispo, California, USA.
Noemi AlarconDepartment of Kinesiology and Public Health, Center for Health Research, California Polytechnic State University, San Luis Obispo, California, USA.
Sarah M NgDepartment of Kinesiology and Public Health, Center for Health Research, California Polytechnic State University, San Luis Obispo, California, USA.
Hunter GlanzDepartment of Statistics, Center for Health Research, California Polytechnic State University, San Luis Obispo, California, USA.
Michelle I CardelWW International, Inc., New York, New York, USA.
Gary D FosterWW International, Inc., New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to identify major themes of a large cohort experiencing long-term weight-loss maintenance who answered open-ended questions about weight-loss triggers, current motivations, strategies, and experiences.

methodsMachine learning and topic modeling were used to analyze responses to six open-ended questions among 6,139 WW International, Inc., (formerly Weight Watchers) members with weight-loss maintenance; inclusion criteria included ≥9.1-kg loss with weight-loss maintenance for ≥1 year.

resultsParticipants (mean age = 53.6 years; 94.3% White; mean BMI = 27.8 kg/m

conclusionsFuture weight-maintenance research should include more diverse populations and investigate weight-loss maintenance as a journey with highs and lows, perseverance in the face of setbacks, sustained tracking, and making changes in medical status more salient during the weight-maintenance journey.

Indexed as

MotivationObesityExerciseHumansMiddle AgedOverweightWeight Loss

Identifiers

PMID35137557
PMCPMC9305441

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.