Evidence map›Paper›PMID 28384631›Full record

ArticleObesity facts2017

Public Support for Weight-Related Antidiscrimination Laws and Policies.

Anja Hilbert, Claudia Hübner, Gabriele Schmutzer, Sigrun Danielsdottir, Elmar Brähler, Rebecca Puhl

Abstract read
In one paragraph

Article in Obesity facts, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
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  7. Review
  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

6 authors.

Anja HilbertIntegrated Research and Treatment Center AdiposityDiseases, University of Leipzig Medical Center, Leipzig, Germany.
Claudia Hübner
Gabriele Schmutzer
Sigrun Danielsdottir
Elmar Brähler
Rebecca Puhl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWeight-related discrimination is prevalent and associated with health impairments for those who are targeted, which underscores the need of antidiscrimination legislation. This study is the first to examine public support of weight-related antidiscrimination laws or policies in Germany, compared to the US and Iceland.

methodsIn a representative German population sample (N = 2,513), public support for general and employment-specific weight-related antidiscrimination policies, weight-based victimization, and weight bias internalization were measured through established self-report questionnaires.

resultsHalf of the German population sample agreed with antidiscrimination policies. General antidiscrimination laws received lower support than employment-specific laws. Support for policies considering obesity a physical disability was greatest in Germany, whereas support for employment-specific antidiscrimination laws was lower in Germany than in the US and Iceland. Total support for weight-related antidiscrimination policies was significantly predicted by lower age, female gender, obese weight status, residence in West Germany, church membership, and readiness to vote in elections.

conclusionGerman support for weight-related antidiscrimination policies is moderate. Increasing awareness about weight-related discrimination and laws prohibiting this behavior may help to promote policy acceptance.

Indexed as

Body WeightPublic OpinionAdultAgedEmploymentFemaleGermanyHumansIcelandMaleMiddle AgedObesityPrejudicePublic PolicySurveys and QuestionnairesUnited StatesAntidiscrimination lawsDiscriminationObesityPublic supportStigma

Identifiers

PMID28384631
PMCPMC5644911

What OpenQuestion holds

Textmetadata
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.