Evidence map›Paper›PMID 30475881›Full record

ArticlePloS one2018

Patterns of weight change associated with disease diagnosis in a national sample.

Yana C Vierboom, Samuel H Preston, Andrew Stokes

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Associations of EAT-Food & nutrition research · 2023
    Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. 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

3 authors at 2 institutions in 1 country.

Yana C VierboomDepartment of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0002-7764-5689
Samuel H PrestonDepartment of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America.
Andrew StokesDepartment of Global Health, Boston University School of Public Health, Boston, MA, United States of America.
University of Pennsylvania · USBoston University · US

Funding

GRADUATE TRAINING IN DEMOGRAPHYT32HD007242 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI MICHEL GUILLOT · 1985 to 2026
$6.6M
The Contribution of Diabetes to Mortality in the United StatesR03AG055724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI ELO, IRMA T., PRESTON, SAMUEL H · 2017 to 2018
$177k
NIA NIH HHS R03 AG055724NICHD NIH HHS T32 HD007242
6 · The paper itself

Abstract

backgroundThe incidence and/or diagnosis of a major disease may activate weight change. Patterns of weight change associated with diagnoses have not been systematically documented.

methodsWe use data on adults ages 30+ in the National Health and Nutrition Examination Survey (NHANES) from 1999-2014. Self-reported current weight and weight one year prior are used to estimate percent weight change in the last year. We use self-reported data on arthritis, diabetes, cancer, cardiovascular disease, liver conditions, and respiratory disease diagnoses to compare weight change among individuals never diagnosed with these conditions, individuals diagnosed 0-1 years ago, and individuals diagnosed 2+ years ago. Multinomial logistic regressions adjust for the presence of multiple conditions.

results17.7% of the adult population experienced weight loss of 5.0% or more in the year prior to survey. Individuals diagnosed with any of the conditions were less likely to maintain their weight than those without a diagnosis. Arthritis, diabetes, cancer, cardiovascular disease, and liver conditions were associated with net weight loss, whereas respiratory diseases were associated with higher probabilities of both losing and gaining weight. Among those losing 10% or more, 56.7% had been diagnosed with one of the conditions. Cancer was associated with the highest probability of unintentional weight loss and diabetes with the highest probability of intentional weight loss.

conclusionsDisease-associated weight changes leave a distinct imprint on patterns of weight change in the population. Individuals losing at least 10% of their weight in the last year have likely been diagnosed with one of the six conditions.

Indexed as

Health SurveysNutrition SurveysWeight GainWeight LossAdultFemaleHumansMaleSelf ReportUnited States

Identifiers

PMID30475881
PMCPMC6261267
OpenAlexW2903315159

What OpenQuestion holds

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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.