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:Mapping changes in the obesity stigma discourse through Obesity Canada: a content analysis
Authors:Kirk SFForhan MYusuf JChance ABurke KBlinn NQuirke SSalas XRAlberga ARussell-Mayhew S
Link:https://pubmed.ncbi.nlm.nih.gov/35071667/
DOI:10.3934/publichealth.2022004
Publication:AIMS public health
Keywords:content analysishealth researchobesity stigmapolicyweight bias
PMID:35071667 Category: Date Added:2022-01-24
Dept Affiliation: HKAP
1 Healthy Populations Institute, Dalhousie University, PO Box 150000, Halifax, B3H 4R2, Canada.
2 School of Health and Human Performance, Faculty of Health, Dalhousie University, PO Box 150000, Halifax, NS, B3H 4R2, Canada.
3 Faculty of Rehabilitation Medicine, Department of Occupational Therapy, Corbett Hall, University of Alberta, 11405 87 Avenue NW, Edmonton, AB, T6H 2G4, Canada.
4 Research and Policy Consultant, Rönnebergsvägen 116, 29891 Tollarp, Sweden.
5 Department of Health, Kinesiology and Applied Physiology, Concordia University, 7141 Sherbrooke Street West, Montreal, Quebec, H4B1R6 Canada.
6 Werklund School of Education, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.

Description:

Background: Stigmatization of persons living with obesity is an important public health issue. In 2015, Obesity Canada adopted person-first language in all internal documentation produced by the organization, and, from 2017, required all authors to use person-first language in abstract submissions to Obesity Canada hosted conferences. The impact of this intentional shift in strategic focus is not known. Therefore, the aim of this study was to conduct a content analysis of proceedings at conferences hosted by Obesity Canada to identify whether or how constructs related to weight bias and obesity stigma have changed over time.

Methods: Of 1790 abstracts accepted to conferences between 2008-2019, we excluded 353 abstracts that featured animal or cellular models, leaving 1437 abstracts that were reviewed for the presence of five constructs of interest and if they changed over time: 1) use of person-first versus use of disease-first terminology, 2) incorporation of lived experience of obesity, 3) weight bias and stigma, 4) aggressive or alarmist framing and 5) obesity framed as a modifiable risk factor versus as a disease. We calculated and analyzed through linear regression: 1) the overall frequency of use of each construct over time as a proportion of the total number of abstracts reviewed, and 2) the ratio of abstracts where the construct appeared at least once based on the total number of abstracts.

Results: We found a significant positive correlation between use of person-first language in abstracts and time (R2 = 0.51, p < 0.01 for frequency, R2 = 0.65, p < 0.05 for ratio) and a corresponding negative correlation for the use of disease-first terminology (R2 = 0.48, p = 0.01 for frequency, R2 = 0.75, p < 0.001 for ratio). There was a significant positive correlation between mentions of weight bias and time (R2 = 0.53 and 0.57, p < 0.01 for frequency and ratio respectively).

Conclusion: Use of person-first language and attention to weight bias increased, while disease-first terminology decreased in accepted abstracts over the past 11 years since Obesity Canada began hosting conferences and particularly since more explicit actions for expectations to use person-first language were put in place in 2015 and 2017.





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