Keyword search (4,163 papers available)

"Weight stigma" Keyword-tagged Publications:

Title Authors PubMed ID
1 Exploring correlates of weight bias among university students in diverse programs Jeanningros A; Côté M; Forouhar V; Aimé A; Lavallière M; Blackburn P; Maïano C; Alberga AS; Baillot A; 41718586
SOH
2 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
3 Unintended consequences of measuring gestational weight gain: how to reduce weight stigma in perinatal care Alberga AS; Incollingo Rodriguez AC; Nagpal TS; 40652172
HKAP
4 Weight bias among Canadians: Associations with sociodemographics, BMI and body image constructs Côté M; Forouhar V; Edache IY; Alberga AS; 38964079
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 Predictors of support for anti-weight discrimination policies among Canadian adults Levy M; Forouhar V; Edache IY; Alberga AS; 37139379
HKAP
7 Weight bias and support of public health policies Edache IY; Kakinami L; Alberga AS; 33990876
PERFORM
8 Weight bias and health care utilization: a scoping review. Alberga AS, Edache IY, Forhan M, Russell-Mayhew S 32800008
HKAP
9 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
10 Psychometric properties of the Weight Self-Stigma Questionnaire (WSSQ) among a sample of overweight/obese French-speaking adolescents. Maïano C, Aimé A, Lepage G, ASPQ Team, Morin AJS 28390006
PSYCHOLOGY
11 Examining Weight Bias among Practicing Canadian Family Physicians. Alberga AS, Nutter S, MacInnis C, Ellard JH, Russell-Mayhew S 31707395
HKAP

 

Title:Weight bias among Canadians: Associations with sociodemographics, BMI and body image constructs
Authors:Côté MForouhar VEdache IYAlberga AS
Link:https://pubmed.ncbi.nlm.nih.gov/38964079/
DOI:10.1016/j.socscimed.2024.117061
Publication:Social science & medicine (1982)
Keywords:Anti-Fat attitudesBody dissatisfactionBody weightObesityWeight bias internalizationWeight stigma
PMID:38964079 Category: Date Added:2024-07-05
Dept Affiliation: HKAP
1 Département des fondements et pratiques en éducation, Faculté des sciences de l'éducation, Université Laval, Canada; Centre Nutrition, santé et société (NUTRISS), INAF, Université Laval, Canada. Electronic address: marilou.cote.2@ulaval.ca.
2 Department of Health, Kinesiology, and Applied Physiology, Concordia University, 7141 Sherbrooke St West, Montreal, QC, H4B1R6, Canada. Electronic address: vida.forouhar@concordia.ca.
3 School of Population and Public Health, The University of British Columbia, Vancouver Campus, 2206 East Mall, Vancouver, BC, Canada V6T1Z3. Electronic address: iyoma.edache@ubc.ca.
4 Department of Health, Kinesiology, and Applied Physiology, Concordia University, 7141 Sherbrooke St West, Montreal, QC, H4B1R6, Canada. Electronic address: angela.alberga@concordia.ca.

Description:

This cross-sectional study examined the associations between sociodemographic characteristics, BMI, and body image constructs (body satisfaction and weight bias internalization; WBI) and explicit weight bias. A near-representative sample of 995 English-speaking Canadian adults (52% Female) completed a survey which assessed explicit weight bias (Anti-Fat Attitudes questionnaire), body satisfaction (Body Shape Satisfaction Scale), WBI (Modified Weight Bias Internalization Scale), and self-reported height and weight. Multiple linear regression analyses were run. Results showed that the variable that explained the most variance in explicit weight bias was WBI, followed by BMI. Higher levels of WBI and a lower BMI were both significantly associated with greater explicit weight bias. Male sex was associated with both disliking people with obesity and thinking obesity is attributable to lack of willpower, whereas female sex was associated with worrying about weight gain. The current findings emphasize the importance of future research efforts aimed at preventing or mitigating WBI to reduce negative attitudes about people with obesity.





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