Keyword search (4,163 papers available)

"Bias" Keyword-tagged Publications:

Title Authors PubMed ID
1 MATES: A tool for appraising the completeness with which a meta-analysis has been reported Morrison K; Pottier P; Pollo P; Ricolfi L; Williams C; Yang Y; Beillouin D; Cardoso SJ; Ferreira V; Gallagher B; Gan JL; Hao G; Keikha M; Kozlowsky-Suzuki B; Kiran Kumara TM; Latterini F; Leverkus AB; Macartney EL; Manrique SM; Martinig AR; Mizuno A; Nanayakkara S; Ntzani E; Ouédraogo DY; Pursell E; Simpson Z; Sleight H; Woon KS; Xia Z; Ghannad M; Grames E; Hennessy EA; IntHout J; Moher D; O' Dea RE; Page MJ; Whaley P; Lagisz M; Nakagawa S; 41411971
BIOLOGY
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 The β2-adrenergic biased agonist nebivolol inhibits the development of Th17 and the response of memory Th17 cells in an NF-κB-dependent manner Hajiaghayi M; Gholizadeh F; Han E; Little SR; Rahbari N; Ardila I; Lopez Naranjo C; Tehranimeh K; Shih SCC; Darlington PJ; 39445009
BIOLOGY
5 Weight bias among Canadians: Associations with sociodemographics, BMI and body image constructs Côté M; Forouhar V; Edache IY; Alberga AS; 38964079
HKAP
6 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
7 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
8 Putting things right: An experimental investigation of memory biases related to symmetry, ordering and arranging behaviour Radomsky AS; Ouellet-Courtois C; Golden E; Senn JM; Parrish CL; 37793286
PSYCHOLOGY
9 Do trauma cue exposure and/or PTSD symptom severity intensify selective approach bias toward cannabis cues in regular cannabis users with trauma histories? DeGrace S; Romero-Sanchiz P; Tibbo P; Barrett S; Arenella P; Cosman T; Atasoy P; Cousijn J; Wiers R; Keough MT; Yakovenko I; O' Connor R; Wardell J; Rudnick A; Nicholas Carleton R; Heber A; Stewart SH; 37625353
PSYCHOLOGY
10 Weight bias internalization and beliefs about the causes of obesity among the Canadian public Vida Forouhar 37620795
HKAP
11 Modeling venous bias in resting state functional MRI metrics Huck J; Jäger AT; Schneider U; Grahl S; Fan AP; Tardif C; Villringer A; Bazin PL; Steele CJ; Gauthier CJ; 37498014
PERFORM
12 Visual biases in evaluation of speakers' and singers' voice type by cis and trans listeners Marchand Knight J; Sares AG; Deroche MLD; 37205083
PSYCHOLOGY
13 Predictors of support for anti-weight discrimination policies among Canadian adults Levy M; Forouhar V; Edache IY; Alberga AS; 37139379
HKAP
14 How well do covariates perform when adjusting for sampling bias in online COVID-19 research? Insights from multiverse analyses Joyal-Desmarais K; Stojanovic J; Kennedy EB; Enticott JC; Boucher VG; Vo H; Košir U; Lavoie KL; Bacon SL; 36335560
HKAP
15 Recommendations for making editorial boards diverse and inclusive Mahdjoub H; Maas B; Nuñez MA; Khelifa R; 36280401
BIOLOGY
16 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
17 Sample size and precision of estimates in studies of depression screening tool accuracy: A meta-research review of studies published in 2018-2021 Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD; 35362161
PSYCHOLOGY
18 Inclusion of currently diagnosed or treated individuals in studies of depression screening tool accuracy: a meta-research review of studies published in 2018-2021 Nassar EL; Levis B; Rice DB; Booij L; Benedetti A; Thombs BD; 35334411
PSYCHOLOGY
19 The relationship between weight bias internalization and healthy and unhealthy weight control behaviours Levy M; Kakinami L; Alberga AS; 35201546
PERFORM
20 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
21 Vaccine hesitancy: evidence from an adverse events following immunization database, and the role of cognitive biases Azarpanah H; Farhadloo M; Vahidov R; Pilote L; 34530804
JMSB
22 Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data Bhandari PM; Levis B; Neupane D; Patten SB; Shrier I; Thombs BD; Benedetti A; 33838273
CONCORDIA
23 Weight bias and support of public health policies Edache IY; Kakinami L; Alberga AS; 33990876
PERFORM
24 Predicting Interpersonal Outcomes From Information Processing Tasks Using Personally Relevant and Generic Stimuli: A Methodology Study Serravalle L; Tsekova V; Ellenbogen MA; 33071861
CRDH
25 Prediction Errors in Depression: A Quasi-Experimental Analysis. Radomsky AS, Wong SF, Dussault D, Gilchrist PT, Tesolin SB 32746394
PSYCHOLOGY
26 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
27 Group sample sizes in nonregulated health care intervention trials described as randomized controlled trials were overly similar Thombs BD; Levis AW; Azar M; Saadat N; Riehm KE; Sanchez TA; Chiovitti MJ; Rice DB; Levis B; Fedoruk C; Lyubenova A; Malo Vázquez de Lara AL; Kloda LA; Benedetti A; Shrier I; Platt RW; Kimmelman J; 31866472
LIBRARY
28 Computer-Aided Diagnosis System of Alzheimer's Disease Based on Multimodal Fusion: Tissue Quantification Based on the Hybrid Fuzzy-Genetic-Possibilistic Model and Discriminative Classification Based on the SVDD Model. Lazli L, Boukadoum M, Ait Mohamed O 31652635
ENCS
29 Dopamine and light: effects on facial emotion recognition. Cawley E, Tippler M, Coupland NJ, Benkelfat C, Boivin DB, Aan Het Rot M, Leyton M 28633582
CSBN
30 Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies. Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ 28159689
PERFORM

 

Title:Predictors of support for anti-weight discrimination policies among Canadian adults
Authors:Levy MForouhar VEdache IYAlberga AS
Link:https://pubmed.ncbi.nlm.nih.gov/37139379/
DOI:10.3389/fpubh.2023.1060794
Publication:Frontiers in public health
Keywords:discriminationobesitypublic policyweight biasweight discrimination policyweight stigma
PMID:37139379 Category: Date Added:2023-05-04
Dept Affiliation: HKAP

Description:

Introduction: Weight discrimination of individuals with overweight or obesity is associated with adverse mental and physical health. Weight discrimination is prevalent in many sectors such as within workplaces, where individuals with overweight and obesity are denied the same opportunities as individuals with lower weight status, regardless of performance or experience. The purpose of this study was to understand the Canadian public's support or opposition of anti-weight discrimination policies and predictors of support. It was hypothesized that Canadians will show support of anti-weight discrimination policies to some extent.

Methods: A secondary analysis was conducted on a previous cross-sectional sample of Canadian adults (N = 923, 50.76% women, 74.4% White) who responded to an online survey assessing weight bias and support of twelve anti-weight discrimination policies related to societal policies (e.g., implementing laws preventing weight discrimination) and employment-related policies (e.g., making it illegal to not hire someone due to their weight). Participants completed the Causes of Obesity Questionnaire (COB), the Anti-Fat Attitudes Questionnaire (AFA) and the Modified Weight Bias Internalization Scale (WBIS-M). Multiple logistic regressions were used to determine predictors of policy support.

Results: Support for policies ranged from 31.3% to 76.9%, with employment anti-discrimination policies obtaining greater support than societal policies. Identifying as White and a woman, being over the age of 45 and having a higher BMI were associated with an increased likelihood of supporting anti-weight discrimination policies. There were no differences between the level of support associated with attributing obesity to behavioral or non-behavioral causes. Explicit weight bias was associated with a reduced likelihood of supporting 8/12 policies. Weight Bias Internalization was associated with an increased likelihood of supporting all societal policies but none of the employment policies.

Conclusions: Support for anti-weight discrimination policies exists among Canadian adults, and explicit weight bias is associated with a lower likelihood of supporting these policies. These results highlight the need for education on the prevalence and perils of weight discrimination which may urge policy makers to consider weight bias as a form of discrimination that must be addressed. More research on potential implementation of anti-weight discrimination policies in Canada is warranted.





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