Keyword search (4,164 papers available)

"Weight bias" Keyword-tagged Publications:

Title Authors PubMed ID
1 Weight bias, stigma and discrimination: a call for greater conceptual clarity Côté M; Forouhar V; Sacco S; Baillot A; Himmelstein M; Hussey B; Incollingo Rodriguez AC; Nagpal TS; Nutter S; Patton I; Pearl RL; Puhl RM; Ramos Salas X; Russell-Mayhew S; Alberga AS; 41280193
HKAP
2 Unintended consequences of measuring gestational weight gain: how to reduce weight stigma in perinatal care Alberga AS; Incollingo Rodriguez AC; Nagpal TS; 40652172
HKAP
3 Weight bias among Canadians: Associations with sociodemographics, BMI and body image constructs Côté M; Forouhar V; Edache IY; Alberga AS; 38964079
HKAP
4 Exploring the association between internalized weight bias and mental health among Canadian adolescents Lucibello KM; Goldfield GS; Alberga AS; Leatherdale ST; Patte KA; 38676448
HKAP
5 Weighty words: exploring terminology about weight among samples of physicians, obesity specialists, and the general public Wilson OWA; Nutter S; Russell-Mayhew S; Ellard JH; Alberga AS; MacInnis CC; 38131299
HKAP
6 Weight bias internalization and beliefs about the causes of obesity among the Canadian public Vida Forouhar 37620795
HKAP
7 Predictors of support for anti-weight discrimination policies among Canadian adults Levy M; Forouhar V; Edache IY; Alberga AS; 37139379
HKAP
8 Exploring weight bias internalization in pregnancy Nagpal TS; Salas XR; Vallis M; Piccinini-Vallis H; Alberga AS; Bell RC; da Silva DF; Davenport MH; Gaudet L; Rodriguez ACI; Liu RH; Myre M; Nerenberg K; Nutter S; Russell-Mayhew S; Souza SCS; Vilhan C; Adamo KB; 35906530
HKAP
9 The relationship between weight bias internalization and healthy and unhealthy weight control behaviours Levy M; Kakinami L; Alberga AS; 35201546
PERFORM
10 Mapping changes in the obesity stigma discourse through Obesity Canada: a content analysis Kirk SF; Forhan M; Yusuf J; Chance A; Burke K; Blinn N; Quirke S; Salas XR; Alberga A; Russell-Mayhew S; 35071667
HKAP
11 The Association Between Weight-Based Teasing from Peers and Family in Childhood and Depressive Symptoms in Childhood and Adulthood: A Systematic Review. Szwimer E, Mougharbel F, Goldfield GS, Alberga AS 32002762
HKAP

 

Title:Weighty words: exploring terminology about weight among samples of physicians, obesity specialists, and the general public
Authors:Wilson OWANutter SRussell-Mayhew SEllard JHAlberga ASMacInnis CC
Link:https://pubmed.ncbi.nlm.nih.gov/38131299/
DOI:10.1080/17538068.2023.2297122
Publication:Journal of communication in healthcare
Keywords:Weight biasadult samplelanguageobesityterminologyweight stigma
PMID:38131299 Category: Date Added:2023-12-22
Dept Affiliation: HKAP
1 Werklund School of Education, University of Calgary, Calgary, Canada.
2 Faculty of Health, Victoria University of Wellington, Wellington, New Zealand.
3 Educational Psychology and Leadership Studies, University of Victoria, Victoria, Canada.
4 Department of Psychology, University of Calgary, Calgary, Canada.
5 Department of Health, Kinesiology, and Applied Physiology, Concordia University, Montreal, Canada.
6 Department of Psychology, Acadia University, Wolfville, Canada.

Description:

Background: The words used to refer to weight and individuals with large bodies can be used to reinforce weight stigma. Given that most previous research has examined preferred terminology within homogenous groups, this research sought to examine terminology preferences across populations.

Methods: This paper reports on data gathered with the general public, family physicians, and obesity researchers/practitioners. Participants were asked about the words they commonly: (1) used to refer to people with large bodies (general public); (2) heard in their professional contexts (physicians and obesity specialists); and (3) perceived to be the most socially or professionally acceptable (all samples).

Results: Similarities and differences were evident between samples, especially related to weight-related clinical terms, the word fat, and behavioral stereotypes.

Conclusion: The results provide some clarity into the differences between populations and highlight the need to incorporate use of strategies that may move beyond person-first language to humanize research and clinical practice with people with large bodies.





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University