Evidence map›Paper›PMID 39497641›Full record

ArticleObesity (Silver Spring, Md.)2024

Cardiometabolic characteristics of weight cycling: results from a mid-South regional comprehensive health care system.

Alison Z Swartz, Kathryn Wood, Eric Farber-Eger, Alexander Petty, Heidi J Silver

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Weight Trajectory Impacts Risk for 10 Distinct Cardiometabolic Diseases.The Journal of clinical endocrinology and metabolism · 2025
    Article
  4. 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

5 authors.

Alison Z SwartzVanderbilt University School of Medicine, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0003-4203-6389
Kathryn WoodDepartment of Medicine, Division of Gastroenterology, Hepatology, and Nutrition, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Eric Farber-EgerDepartment of Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Alexander PettyVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Heidi J SilverDepartment of Medicine, Division of Gastroenterology, Hepatology, and Nutrition, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0003-2237-4903

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
NCATS NIH HHS UL1 TR002243NCATS NIH HHS UL1TR002243Vanderbilt Medical Scholars Fellowship
6 · The paper itself

Abstract

objectiveThe objective of this study was to determine the unique clinical and cardiometabolic risk characteristics of weight-cyclers and identify differences between weight-cyclers and individuals with other weight-change trajectories.

methodsA deidentified database of 1,428,204 Vanderbilt University Medical Center patients from 1997 to 2020 was included based on having ≥5 years of recorded weights. Patients with a history of malignant neoplasm, bariatric surgery, implausible BMI (e.g., <15 or >80 kg/m

resultsOver half (55%) of participants were weight-cyclers, 23% were weight-gainers, 12% were weight-losers, and 10% were weight-stable over 5 years. Although baseline BMI did not differ among groups, weight-cyclers were more likely to have lower high-density lipoprotein cholesterol and higher blood glucose and triglyceride levels and to have been prescribed antihypertensive, dyslipidemia, and/or antidiabetic therapies. They were also younger and more likely to be smokers. Participants with the greatest weight variability (i.e., highest quartile of average successive weight variability) had higher cardiometabolic risk scores.

conclusionsWeight cycling was highly prevalent but yielded no meaningful overall change in body weight after 5 years. These findings support a paradigm shift in weight management in individuals with overweight/obesity toward reducing cardiometabolic risk with or without weight loss.

Indexed as

Weight GainWeight LossAdultBlood GlucoseBody Mass IndexBody-Weight TrajectoryCardiometabolic Risk FactorsCardiovascular DiseasesFemaleHumansMaleMiddle AgedObesityBlood Glucose

Identifiers

PMID39497641
PMCPMC11540335

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.