Towards a sociocultural model of weight stigma.

Social comparison Thin-ideal internalization Weight controllability beliefs Weight stigma

Journal

Eating and weight disorders : EWD
ISSN: 1590-1262
Titre abrégé: Eat Weight Disord
Pays: Germany
ID NLM: 9707113

Informations de publication

Date de publication:
Apr 2021
Historique:
received: 03 03 2020
accepted: 14 05 2020
pubmed: 29 5 2020
medline: 24 6 2021
entrez: 29 5 2020
Statut: ppublish

Résumé

Weight stigma is pervasive and is associated with numerous physical and psychological health consequences, including decreased body satisfaction. Understanding of contributing factors to weight stigma remains limited, although researchers have consistently documented the connection between weight controllability beliefs and weight stigma. Sociocultural factors, including thin-ideal internalization and related social-cognitive correlates, are in the nascent stages of exploration to further our understanding of weight stigma. In this study, we tested an emerging sociocultural model of weight stigma, examining the influence of thin-ideal internalization and appearance-related comparisons on weight stigma, statistically controlling for weight controllability beliefs and accounting for thin-ideal environmental influences. Participants were 137 MTurk workers living in the United States. We found that increased thin-ideal information was associated with thin-ideal internalization, which in turn was related to both upward and downward appearance-related comparison tendencies. These comparisons were then significantly related to weight stigma, controlling for weight controllability beliefs. There were significant indirect effects of both upward and downward appearance-related comparison tendencies on the relation between thin-ideal internalization and weight stigma. These results extend limited prior research examining the association between the thin-ideal and appearance-related comparisons with weight stigma, and contribute to a more nuanced understanding of this complex phenomenon. Level V, cross-sectional study.

Identifiants

pubmed: 32462360
doi: 10.1007/s40519-020-00931-6
pii: 10.1007/s40519-020-00931-6
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

999-1005

Références

Puhl RM, Heuer CA (2009) The stigma of obesity: a review and update. Obesity 17:941–964. https://doi.org/10.1038/oby.2008.636
doi: 10.1038/oby.2008.636 pubmed: 19165161
Carels RA, Latner J (2016) Weight stigma and eating behaviors: introduction to the special issue. Appetite 102:1–2. https://doi.org/10.1016/j.appet.2016.03.001
doi: 10.1016/j.appet.2016.03.001 pubmed: 26946278
Jendrzyca A, Warschburger P (2016) Weight stigma and eating behaviours in elementary school children: a prospective population-based study. Appetite 102:1–9. https://doi.org/10.1016/j.appet.2016.02.005
doi: 10.1016/j.appet.2016.02.005
Douglas V, Varnado-Sullivan P (2016) Weight stigmatization, internalization, and eating disorder symptoms: the role of emotion dysregulation. Stigma Health 1:166–175. https://doi.org/10.1037/sah0000029
doi: 10.1037/sah0000029
Vartanian LR, Novak SA (2011) Internalized societal attitudes moderate the impact of weight stigma on avoidance of exercise. Obesity 19:757–762. https://doi.org/10.1038/oby.2010.234
doi: 10.1038/oby.2010.234 pubmed: 20948515
Alberga AS, Russell-Mayhew S, von Ranson KM, McLaren L, Ramos Salas X, Sharma AM (2016) Future research in weight bias: what next? Obesity 24:1207–1209. https://doi.org/10.1002/oby.21480
doi: 10.1002/oby.21480 pubmed: 27129601
Wiener B, Perry RP, Magnusson J (1988) An attributional analysis of reactions to stigma. J Pers Soc Psychol 55:738–748. https://doi.org/10.1037/0022-3514.55.5.738
doi: 10.1037/0022-3514.55.5.738
Puhl RM, Latner JD, O’Brien KS, Luedicke J, Danielsdottir S, Forhan M (2015) A multi-national examination of weight bias: predictors of anti-fat attitudes across four countries. Int J Obes 39:1166–1173. https://doi.org/10.1038/ijo.2015.32
doi: 10.1038/ijo.2015.32
Thompson JK, Heinberg LJ, Altabe M, Tantleff-Dunn S (1999) Exacting beauty: theory, assessment and treatment of body image disturbance. American Psychological Association, Washington, DC
doi: 10.1037/10312-000
Grabe S, Ward LM, Hyde JS (2008) The role of the media in body image concerns among women: a meta-analysis of experimental and correlational studies. Psychol Bull 134:460–476. https://doi.org/10.1037/0033-2909.134.3.460
doi: 10.1037/0033-2909.134.3.460 pubmed: 18444705
Stice E, Gau JM, Rohde P, Shaw H (2017) Risk factors that predict future onset of each DSM-5 eating disorder: predictive specificity in high-risk adolescent females. J Ab Psychol 126:38–51. https://doi.org/10.1037/abn0000219
doi: 10.1037/abn0000219
Latner JD, Rosewall JK, Simmonds MB (2007) Childhood obesity stigma: association with television, videogame, and magazine exposure. Body Image 4:147–155. https://doi.org/10.1016/j.bodyim.2007.03.002
doi: 10.1016/j.bodyim.2007.03.002 pubmed: 18089260
Klaczynski PA, Goold KW, Mudry JJ (2004) Culture, obesity stereotypes, self-esteem, and the “thin ideal”: a social identity perspective. J Youth Adolesc 33:307–317. https://doi.org/10.1023/B:JOYO.0000032639.71472.19
doi: 10.1023/B:JOYO.0000032639.71472.19
Festinger L (1954) A theory of social comparison processes. Hum Relat 7:117–140. https://doi.org/10.1177/001872675400700202
doi: 10.1177/001872675400700202
Fitzsimmons-Craft EE, Bardone-Cone AM, Crosby RD, Engel SG, Wonderlich SA, Bulik CM (2016) Mediators of the relationship between thin-ideal internalization and body dissatisfaction in the natural environment. Body Image 18:113–122. https://doi.org/10.1016/j.bodyim.2016.06.006
doi: 10.1016/j.bodyim.2016.06.006 pubmed: 27391791 pmcid: 5012939
Saunders JF, Eaton AA (2018) Snaps, selfies, and shares: how social media use contributes to the sociocultural model of disordered eating among young women. Cyberpsychol Behav Soc Netw 21:343–354. https://doi.org/10.1089/cyber.2017.0713
doi: 10.1089/cyber.2017.0713 pubmed: 29883209
Ramirez JC, Milan S (2016) Perceived size of friends and weight evaluation among low-income adolescents. J Behav Med 39:334–345. https://doi.org/10.1007/s10865-015-9682-x
doi: 10.1007/s10865-015-9682-x pubmed: 26403505
O’Brien KS, Caputi P, Minto R, Peoples G, Hooper C, Kell S, Sawley E (2009) Upward and downward physical appearance comparisons: development of scales and examination of predictive qualities. Body Image 6:201–206. https://doi.org/10.1016/j.bodyim.2009.03.003
doi: 10.1016/j.bodyim.2009.03.003 pubmed: 19447692
Rodgers RF (2016) The role of the “healthy weight” discourse in body image and eating concerns: an extension of sociocultural theory. Eat Behav 22:194–198. https://doi.org/10.1016/j.eatbeh.2016.06.004
doi: 10.1016/j.eatbeh.2016.06.004 pubmed: 27299698
Buhrmester M, Kwang T, Gosling SD (2016) Amazon’s mechanical Turk: a new source of inexpensive, yet high-quality data? In: Kazdin AE (ed) Methodological issues and strategies in clinical research. American Psychological Association, Washington, DC, pp 133–139
doi: 10.1037/14805-009
Thompson JK, van den Berg P, Roehrig M, Guarda AS, Heinberg LJ (2004) The sociocultural attitudes towards appearance scale-3 (SATAQ-3): development and validation. Int J Eat Dis 35:293–304. https://doi.org/10.1002/eat.10257
doi: 10.1002/eat.10257
Schaefer LM, Burke NL, Thompson JK et al (2015) Development and validation of the sociocultural attitudes towards appearance questionnaire-4 (SATAQ-4). Psychol Assess 27:54–67. https://doi.org/10.1037/a0037917
doi: 10.1037/a0037917 pubmed: 25285718
Allison DB, Basile VC, Yuker HE (1991) The measurement of attitudes and beliefs about obese persons. Int J Eat Dis 10:599–607. https://doi.org/10.1002/1098-108X(199109)10:5%3c599:AID-EAT2260100512%3e3.0.CO;2-%23
doi: 10.1002/1098-108X(199109)10:5%3c599:AID-EAT2260100512%3e3.0.CO;2-%23
Hu L, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model 6:1–55. https://doi.org/10.1080/10705519909540118
doi: 10.1080/10705519909540118
Browne MW, Cudeck R (1993) Alternative ways of assessing model fit. Soc Methods Res 154:136–136. https://doi.org/10.1177/0049124192021002005
doi: 10.1177/0049124192021002005
Byrne BM (1998) Structural Equation Modeling with LISREL, PRELIS and SIMPLIS: basic concepts, applications and programming. Lawrence Erlbaum Associates, Mahwah
MacKinnon DP, Lockwood CM, Hoffman JM, West SG, Sheets V (2002) A comparison of methods to test mediation and other intervening variable effects. Psychol Methods 7:83–104. https://doi.org/10.1037/1082-989X.7.1.83
doi: 10.1037/1082-989X.7.1.83 pubmed: 11928892 pmcid: 2819363
Himes SM, Thompson JK (2007) Fat stigmatization in television shows and movies: a content analysis. Obesity 15:712–718. https://doi.org/10.1038/oby.2007.635
doi: 10.1038/oby.2007.635 pubmed: 17372322
Aruguete MS, Huynh H, Browne BL, Jurs B, Flint E, McCutcheon LE (2019) How serious is the ‘carelessness’ problem on mechanical Turk? Int J Soc Res Methodol 22:441–449. https://doi.org/10.1080/13645579.2018.1563966
doi: 10.1080/13645579.2018.1563966

Auteurs

Sarah Nutter (S)

Counselling Psychology, Werklund School of Education, University of Calgary, EDT 114, 2500 University Dr. NW, Calgary, AB, T2N 1N4, Canada. snutter@ucalgary.ca.

Shelly Russell-Mayhew (S)

Counselling Psychology, Werklund School of Education, University of Calgary, EDT 114, 2500 University Dr. NW, Calgary, AB, T2N 1N4, Canada.

Jessica F Saunders (JF)

Counselling Psychology, Werklund School of Education, University of Calgary, EDT 114, 2500 University Dr. NW, Calgary, AB, T2N 1N4, Canada.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH