Evidence map›Paper›PMID 24903462›Full record

ArticleObesity facts2014

Association between perceived health care stigmatization and BMI change.

Lena M Hansson, Finn Rasmussen

Open access · goldAbstract read
In one paragraph

Article in Obesity facts, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Weight bias and health care utilization: a scoping review.Primary health care research & development · 2019
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

2 authors at 1 institution in 1 country.

Lena M HanssonDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
Finn Rasmussen
Karolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsThis study examined the association between experiences of health care stigmatization and BMI changes in men and women with normal weight and obesity in Sweden.

methodsThe participants were drawn from a population-based survey in Sweden (1996-2006), and data on their perceived health care stigmatization were measured in 2008. They were categorized in individuals with normal weight (n = 1,064), moderate obesity (n = 1,273), and severe obesity (n = 291). The main outcome measure was change in BMI.

resultsIndividuals with severe obesity experiencing any health care stigmatization showed a BMI increase by 1.5 kg/m2 more than individuals with severe obesity with no such experience. For individuals with moderate obesity, insulting treatment by a physician and avoidance of health care were associated with a relative BMI increase of 0.40 and 0.75 kg/m2, respectively, compared with their counterparts who did not experience stigmatization in these areas. No difference in experience of any form of health care stigmatizing associated BMI change was observed for men and women with normal weight.

conclusionIn this large, population-based study, perceived health care stigmatization was associated with an increased relative BMI in individuals with severe obesity. For moderate obesity, the evidence of an association was inconclusive.

Indexed as

Body Mass IndexHealthcare DisparitiesPerceptionStereotypingAdultAgedAged, 80 and overAttitude of Health PersonnelBody WeightFemaleHealth BehaviorHealth EducationHumansMaleMiddle AgedObesity

Identifiers

PMID24903462
PMCPMC5644841
OpenAlexW2061014402

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.