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Parents have both implicit and explicit biases against children with obesity
Open accessAbstract
Weight bias (negative attitudes towards individuals with obesity) has been widely observed, but not examined in parents. In this study, we measured parents' (N = 658; 74.2% female) explicit and implicit weight bias against children with obesity. Many parents (n = 612; 93%) endorsed some moderate explicit weight bias. Fathers had greater explicit bias than mothers and parents with overweight/obesity had less bias than those with healthy-weight. Other parent/child variables (i.e., parent age, child sex, child weight, child age) were not significantly associated with explicit bias. Parents also demonstrated implicit weight bias. No parent or child variables were significantly associated with implicit bias. Parents may contribute, among many others, to the stigmatizing environment experienced by youth with overweight/obesity, which has been associated with negative child psychosocial functioning and health. Clinical research into strategies to reduce parental weight bias against children with obesity or increase children's resilience to weight discrimination is needed to improve children's health and well-being.
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“Weight stigma has been documented in multiple societal domains, including the workplace, education, healthcare settings, and within families9,10.”
From Joint international consensus statement for ending stigma of obesity (2020) · cites this paper as [10]
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Cites
The Stigma of Obesity: A Review and Update
Puhl, R. M., & Heuer, C. A. (2009) · Obesity · doi:10.1038/oby.2008.636 · Cited by 3,323 · cited 2×
“…behavioral expression of weight bias—has been documented across many life domains, including work, health care, mass media, and relationships (Puhl & Heuer, 2009) and is associated with medical problems such as diabetes, cardiac problems, and gastrointestinal problems (Udo et al., 2016),…”
Awareness of implicit attitudes.
Hahn, A., Judd, C. M., Hirsh, H. K., & Blair, I. V. (2014) · Journal of Experimental Psychology: General · doi:10.1037/a0035028 · Cited by 414
Tomiyama, A. J., Finch, L. E., Belsky, A. C. I., Buss, J., Finley, C., Schwartz, M. B., & Daubenmier, J. (2015) · Obesity · doi:10.1002/oby.20910 · Cited by 199
Perceived weight discrimination and chronic medical conditions in adults with overweight and obesity
Udo, T., Purcell, K., & Grilo, C. M. (2016) · International Journal of Clinical Practice · doi:10.1111/ijcp.12902 · Cited by 64 · cited 4×
“…many life domains, including work, health care, mass media, and relationships (Puhl & Heuer, 2009) and is associated with medical problems such as diabetes, cardiac problems, and gastrointestinal problems (Udo et al., 2016), even when adjusting for other forms of discrimination (Udo & Grilo, 2017).”
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Research works printed but not linked: 27
- Agerstrom, J., & Rooth, D. O. (2011). The role of automatic obesity stereotypes in real hiring discrimination. Journal of Applied Psychology, 96, 790–805. https://doi.org/10.1037/a0021594 · DOI · Paper page
- Alberga, A. S., Pickering, B. J., Alix Hayden, K., Ball, G. D., Edwards, A., Jelinski, S., et al. (2016). Weight bias reduction in health professionals: A systematic review. Clinical Obesity, 6, 175–188. https://doi.org/10.1111/cob.12147 · DOI
- Allison, D. B., Basile, V. C., & Yuker, H. E. (1991). The measurement of attitudes toward and beliefs about obese persons. International Journal of Eating Disorders, 10, 599–607. · DOI
- Ambwani, S., Thomas, K. M., Hopwood, C. J., Moss, S. A., & Grilo, C. M. (2014). Obesity stigmatization as the status quo: Structural considerations and prevalence among young adults in the U.S. Eating Behaviors, 15, 366–370. https://doi.org/10.1016/j.eatbeh.2014.04.005 · DOI
- Birch, L. L., Fisher, J. O., Grimm-Thomas, K., Markey, C. N., Sawyer, R., & Johnson, S. L. (2001). Confirmatory factor analysis of the Child Feeding Questionnaire: A measure of parental attitudes, beliefs and practices about child feeding and obesity proneness. Appetite, 36, 201–210. · DOI
- Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s Mechanical Turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6, 3–5. https://doi.org/10.1177/1745691610393980 · DOI · Paper page
- Carels, R. A., Young, K. M., Wott, C. B., Harper, J., Gumble, A., Oehlof, M. W., et al. (2009). Weight bias and weight loss treatment outcomes in treatment-seeking adults. Annals of Behavioral Medicine, 37, 350–355. https://doi.org/10.1007/s12160-009-9109-4 · DOI
- Gay, J., Monsma, E. V., & Torres-McGehee, T. (2009). Give or take a few? Comparing measured and self-reported height and weight as correlates of social physique anxiety. Research Quarterly for Exercise and Sport, 80, 656–662. https://doi.org/10.1080/02701367.2009.10599605 · DOI
- Greenwald, A. G., Banaji, M. R., & Nosek, B. A. (2015). Statistically small effects of the Implicit Association Test can have societally large effects. Journal of Personality and Social Psychology, 108, 553–561. https://doi.org/10.1037/pspa0000016 · DOI
- Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. (1998). Measuring individual differences in implicit cognition: the implicit association test. Journal of Personality and Social Psychology, 74, 1464–1480. · DOI · Paper page
- Greenwald, A. G., Poehlman, T. A., Uhlmann, E. L., & Banaji, M. R. (2009). Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. Journal of Personality and Social Psychology, 97, 17–41. https://doi.org/10.1037/a0015575 · DOI · Paper page
- Hofmann, W., Gawronski, B., Gschwendner, T., Le, H., & Schmitt, M. (2005). A meta-analysis on the correlation between the implicit association test and explicit self-report measures. Personality and Social Psychology Bulletin, 31, 1369–1385. https://doi.org/10.1177/0146167205275613 · DOI · Paper page
- Kushner, R. F., Zeiss, D. M., Feinglass, J. M., & Yelen, M. (2014). An obesity educational intervention for medical students addressing weight bias and communication skills using standardized patients. BMC Medical Education, 14, 53. https://doi.org/10.1186/1472-6920-14-53 · DOI
- Lydecker, J. A., Riley, K. E., & Grilo, C. M. (2018). Associations of parents’ self, child, and other “fat talk” with child eating behaviors and weight. International Journal of Eating Disorders. https://doi.org/10.1002/eat.22858 · DOI
- Lynagh, M., Cliff, K., & Morgan, P. J. (2015). Attitudes and beliefs of nonspecialist and specialist trainee health and physical education teachers toward obese children: Evidence for “anti-fat” bias. Journal of School Health, 85, 595–603. https://doi.org/10.1111/josh.12287 · DOI
- Nosek, B. A., Greenwald, A. G., & Banaji, M. R. (2005). Understanding and using the Implicit Association Test: II. Method Variables and Construct Validity, 31, 166–180.
- O’Brien, K. S., Hunter, J. A., & Banks, M. (2007). Implicit anti-fat bias in physical educators: Physical attributes, ideology and socialization. International Journal of Obesity, 31, 308–314. https://doi.org/10.1038/sj.ijo.0803398 · DOI
- Phelan, S. M., Puhl, R. M., Burke, S. E., Hardeman, R., Dovidio, J. F., Nelson, D. B., et al. (2015). The mixed impact of medical school on medical students’ implicit and explicit weight bias. Medical Education, 49, 983–992. https://doi.org/10.1111/medu.12770 · DOI
- Pont, S. J., Puhl, R., Cook, S. R., Slusser, W., Section On, O., & Obesity, S. (2017). Stigma experienced by children and adolescents with. Obesity. https://doi.org/10.1542/peds.2017-3034 · DOI · Paper page
- Puhl, R. M., & Latner, J. D. (2007). Stigma, obesity, and the health of the nation’s children. Psychological Bulletin, 133, 557–580. https://doi.org/10.1037/0033-2909.133.4.557 · DOI
- Schwimmer, J. B., Burwinkle, T. M., & Varni, J. W. (2003). Health-related quality of life of severely obese children and adolescents. Jama, 289, 1813–1819. https://doi.org/10.1001/jama.289.14.1813 · DOI
- Skinner, A. C., Payne, K., Perrin, A. J., Panter, A. T., Howard, J. B., Bardone-Cone, A., et al. (2017). Implicit weight bias in children age 9 to 11 years. Pediatrics, 140, e20163936. https://doi.org/10.1542/peds.2016-3936 · DOI
- Swift, J. A., Tischler, V., Markham, S., Gunning, I., Glazebrook, C., Beer, C., et al. (2013). Are anti-stigma films a useful strategy for reducing weight bias among trainee healthcare professionals? Results of a pilot randomized control trial. Obesity Facts, 6, 91–102. https://doi.org/10.1159/000348714 · DOI
- Teachman, B. A., & Brownell, K. D. (2001). Implicit anti-fat bias among health professionals: is anyone immune? International Journal of Obesity and Related Metabolic Disorders, 25, 1525–1531. https://doi.org/10.1038/sj.ijo.0801745 · DOI
- Teachman, B. A., Gapinski, K. D., Brownell, K. D., Rawlins, M., & Jeyaram, S. (2003). Demonstrations of implicit anti-fat bias: The impact of providing causal information and evoking empathy. Health Psychology, 22, 68–78. · DOI · Paper page
- Udo, T., & Grilo, C. M. (2017). Cardiovascular disease and perceived weight, racial, and gender discrimination in U.S. adults. Journal of Psychosomatic Research, 100, 83–88. https://doi.org/10.1016/j.jpsychores.2017.07.007 · DOI
- White, M. A., Masheb, R. M., & Grilo, C. M. (2010). Accuracy of self-reported weight and height in binge eating disorder: Misreport is not related to psychological factors. Obesity, 18, 1266–1269. https://doi.org/10.1038/oby.2009.347 · DOI
Cited by
Sorted by citations
Joint international consensus statement for ending stigma of obesity
Rubino, F., Puhl, R. M., Cummings, D. E., Eckel, R. H., Ryan, D. H., Mechanick, J. I., Nadglowski, J., Ramos Salas, X., Schauer, P. R., Twenefour, D., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0803-x · Cited by 1,152
“Weight stigma has been documented in multiple societal domains, including the workplace, education, healthcare settings, and within families 9, 10 .”
Background
Metadata
- Authors
- Lydecker, J. A., O’Brien, E., & Grilo, C. M.
- Affiliations
- Yale University (US)
- Corresponding author
- Lydecker, Janet A.
- Venue
- Journal of Behavioral Medicine
- Published
- 2018-05-04
- Volume
- 41
- Issue
- 6
- Pages
- 784-791
- ISSN
- 0160-7715 (ISSN-L)
- 1573-3521
- PMC
- PMC6209524
- OpenAlex
- W2801845538
- Cited by
- 54
- References
- 4
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 6 · 2023: 7 · 2022: 8 · 2021: 9 · 2020: 10 · 2019: 2
- FWCI
- 4.90
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Behavioral Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (DK070052)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity and Health Practices
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Keywords
- weight bias, parental attitudes, children with obesity, implicit bias, explicit bias, weight stigma, parental weight status, weight discrimination, childhood obesity
- MeSH terms
- Adolescent, Body Image, Child, Child, Preschool, Female, Humans, Male, Parents, Stereotyping, Reproducibility of Results, Bias, Body Mass Index, Parenting, Pediatric Obesity
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