Evidence map›Paper›PMID 30367387›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2019

Is there more to the equation? Weight bias and the costs of obesity.

Karmpaul Singh, Shelly Russell-Mayhew, Kristin von Ranson, Lindsay McLaren

Registry-linked trialAbstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07334470 (The BRAVE Study), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT07334470 narecruitingnot on this mapstarted 2026, after this paper: background citation

The BRAVE Study: A Sensitivity Intervention With Nursing Students Using Simulation

TypeinterventionalSponsorVillanova UniversityRan2026 to 2028Enrolled368ConditionsWeight BiasArmsBRAVE, SOL: Standard Obesity Lecture
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Karmpaul SinghWerklund School of Education, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada. karmpaul@gmail.com.ORCID 0000-0002-6277-7902
Shelly Russell-MayhewWerklund School of Education, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada.
Kristin von RansonDepartment of Psychology, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada.
Lindsay McLarenDepartment of Community Health Sciences, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada.

Funding

CIHR
6 · The paper itself

Abstract

The costs of obesity have been well studied, with estimates in Canada reaching $7.1 billion annually. These estimates fuel public and professional discourse about obesity as an "epidemic" with substantial economic and public health consequences. However, cost estimates for obesity thus far have neglected to consider a critical variable: weight bias (i.e., negative bias towards individuals based on their body weight). In this commentary, we propose that some costs currently attributed to obesity may be partly or fully attributable to weight bias. Taking a burden of illness approach, we show that data derived from a purposeful literature search, provided as proof of concept, support the notion that weight bias may be an important variable to consider when calculating obesity-related costs. We propose that future research on costs of obesity should consider weight bias, with goals of achieving more accurate cost attributions and identifying appropriate leverage points for interventions to improve well-being of the population.

Indexed as

Cost of IllnessWeight PrejudiceCanadaHumansObesityBiasBody weightCost of illnessCosts and cost analysisDiscriminationObesity

Identifiers

PMID30367387
PMCPMC6964496

What OpenQuestion holds

Textmetadata
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.