The scale matters: assessing body size with figure rating scales in a diverse sample of young adults.
Body size
Figure rating scales
Gender
Race
Weight perception
Young adult
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:
Feb 2022
Feb 2022
Historique:
received:
18
09
2020
accepted:
10
03
2021
pubmed:
30
3
2021
medline:
24
2
2022
entrez:
29
3
2021
Statut:
ppublish
Résumé
To explore intersectional differences in weight perception accuracy in a diverse sample of young adults using CDC-defined weight status labels and four separate figure rating scales (FRS). This cross-sectional study of 322 18-25-year-olds with body mass index (BMI) ranging from 18.5 to 57.2 (M Area under the curve (AUC) statistics indicated all scales were significantly better at classifying weight status than chance. Among Black females and Black males, the culturally adapted scale had the strongest discriminatory ability [(AUC = 0.93, SE = 0.02, p < 0.001, 95% CI = 0.89-0.97) and (AUC = 0.93, SE = 0.04, p < 0.001, 95% CI = 0.86-1.00), respectively]. Among white females, the silhouette scale had the strongest discriminatory ability (AUC = 0.93, SE = .03, p < 0.001, 95% CI = 0.88-0.99). Among white males, the photo-based scale had the strongest discriminatory ability (AUC = 0.84, SE = 0.06, p = 0.001, 95% CI = 0.71-0.96). Across all groups, weight perception labels were the weakest classifier of weight status. Weight perception labels are an ineffective method of assessing weight status and FRS accuracy varies by race and gender, suggesting the value of gender- and culturally tailored scales. Level III. Evidence obtained from well-designed cohort or case-control analytic studies.
Identifiants
pubmed: 33779966
doi: 10.1007/s40519-021-01166-9
pii: 10.1007/s40519-021-01166-9
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
263-271Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
Références
Hahn SL, Borton KA, Sonneville KR (2018) Cross-sectional associations between weight-related health behaviors and weight misperception among US adolescents with overweight/obesity. BMC Public Health 18(1):514. https://doi.org/10.1186/s12889-018-5394-9
doi: 10.1186/s12889-018-5394-9
pubmed: 29669539
pmcid: 5907388
Hazzard VM, Hahn SL, Sonneville KR (2017) Weight misperception and disordered weight control behaviors among U.S. high school students with overweight and obesity: associations and trends, 1999–2013. Eat Behav 26:189–195. https://doi.org/10.1016/j.eatbeh.2017.07.001
doi: 10.1016/j.eatbeh.2017.07.001
pubmed: 28734231
Ali MM, Fang H, Rizzo JA (2010) Body weight, self-perception and mental heatlh outcomes among adoelscents. J Mental Health Policy Econ 13:53–63
Edwards NM, Pettingell S, Borowsky IW (2010) Where perception meets reality: self-perception of weight in overweight adolescents. Pediatrics 125(3):e452-458. https://doi.org/10.1542/peds.2009-0185
doi: 10.1542/peds.2009-0185
pubmed: 20142281
Duncan DT, Wolin KY, Scharoun-Lee M, Ding EL, Warner ET, Bennett GG (2011) Does perception equal reality? Weight misperception in relation to weight-related attitudes and behaviors among overweight and obese US adults. Int J Behav Nutr Phys Act 8:20. https://doi.org/10.1186/1479-5868-8-20
doi: 10.1186/1479-5868-8-20
pubmed: 21426567
pmcid: 3073863
Sonneville KR, Thurston IB, Milliren C, Kamody RC, Gooding HC, Richmond TK (2016) Helpful or Harmful? Prospective association between weight misperception and weight gain among overweight and obese young adults. Int J Obes 40(2):328–332
doi: 10.1038/ijo.2015.166
Thurston IB, Sonneville KR, Milliren CE, Kamody RC, Gooding HC, Richmond TK (2016) Cross-sectional and prospective examination of weight misperception and depressive symptoms among youth with overweight and obesity. Prev Sci 4:1–12. https://doi.org/10.1007/s11121-016-0714-8
doi: 10.1007/s11121-016-0714-8
Sonneville KR, Thurston IB, Milliren CE, Gooding HC, Richmond TK (2016) Weight misperception among young adults with overweight/obesity associated with disordered eating behaviors. Int J Eat Disord 49(10):937–946. https://doi.org/10.1002/eat.22565
doi: 10.1002/eat.22565
pubmed: 27218865
pmcid: 5064910
Roberts DE (2011) Fatal invention: how science, politics, and big business Re-create Race in the twenty-first century. New Press
Smedley A, Smedley BD (2005) Race as biology is fiction, racism as a social problem is real: anthropological and historical perspectives on the social construction of race. Am Psychol 60(1):16–26
doi: 10.1037/0003-066X.60.1.16
Ogden CL, Carroll MD, Lawman HG, Fryar CD, Kruszon-Moran D, Kit BK, Flegal KM (2016) Trends in obesity prevalence among children and adolescents in the United States, 1988–1994 through 2013–2014. J Am Med Assoc 315(21):2292–2299. https://doi.org/10.1001/jama.2016.6361
doi: 10.1001/jama.2016.6361
Kotecki J, Kandiah J, Greene M, Khubchandani J (2019) Weight misperception in young adults: race and gender based disparities (P04–108–19). Curr Dev Nutr. https://doi.org/10.1093/cdn/nzz051.P04-108-19
doi: 10.1093/cdn/nzz051.P04-108-19
pmcid: 6579342
Smalley KB, Warren JC, Morrissey BD (2017) Discrepancy between actual and perceived weight status in rural patients: variations by race and gender. J Health Care Poor Underserved 28(1):514–527. https://doi.org/10.1353/hpu.2017.0037
doi: 10.1353/hpu.2017.0037
pubmed: 28239016
pmcid: 5588681
Lewis DW, Dutton GR, Affuso O (2015) Physical characteristics associated with weight misperception among overweight and obese men: NHANES 1999–2006. Obesity (Silver Spring, Md) 23(1):242–247. https://doi.org/10.1002/oby.20930
doi: 10.1002/oby.20930
Stunkard AJ, Sorensen T, Schulsinger F (1983) Use of the danish adoption register for the study of obesity and thinness. Res Pub Assoc Res Nerv Mental Dis 60:115–120
Anderson LA, Janes GR, Ziemer DC, Phillips LS (1997) Diabetes in urban African Americans. Body image, satisfaction with size, and weight change attempts. Diabetes Educ 23(3):301–308
doi: 10.1177/014572179702300309
Mitola AL, Papas MA, Le K, Fusillo L, Black MM (2007) Agreement with satisfaction in adolescent body size between female caregivers and teens from a low-income African-American community. J Pediatr Psychol 32(1):42–51. https://doi.org/10.1093/jpepsy/jsl004
doi: 10.1093/jpepsy/jsl004
pubmed: 16762992
Harris CV, Bradlyn AS, Coffman J, Gunel E (2005) BMI-based body size guides for women and men: development and validation of a novel pictorial method to assess weight-related concepts. Int J Obes 32(2):336–342. https://doi.org/10.1038/sj.ijo.0803704
doi: 10.1038/sj.ijo.0803704
Latner JD, Stunkard AJ, Wilson GT (2005) Stigmatized students: age, sex, and ethnicity effects in the stigmatization of obesity. Obes Res 13(7):1226–1231. https://doi.org/10.1038/oby.2005.145
doi: 10.1038/oby.2005.145
pubmed: 16076992
Perez-Lopez MS, Lewis RJ, Cash TF (2001) The relationship of antifat attitudes to other prejudicial and gender-related attitudes1. J Appl Soc Psychol 31(4):683–697. https://doi.org/10.1111/j.1559-1816.2001.tb01408.x
doi: 10.1111/j.1559-1816.2001.tb01408.x
Centers for Disease Control and Prevention (2015) About Adult BMI. http://www.cdc.gov/healthyweight/assessing/bmi/adult_bmi/ .
Youngstrom EA (2014) A primer on receiver operating characteristic analysis and diagnostic efficiency statistics for pediatric psychology: we are ready to ROC. J Pediatr Psychol 39(2):204–221
doi: 10.1093/jpepsy/jst062
Swets JA, Dawes RM, Monahan J (2000) Psychological science can improve diagnostic decisions. Psychol Sci Pub Interest 1(1):1–26
doi: 10.1111/1529-1006.001
Hanley JA, McNeil BJ (1983) A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 148(3):839–843
doi: 10.1148/radiology.148.3.6878708
Volger S, Vetter ML, Dougherty M, Panigrahi E, Egner R, Webb V, Thomas JG, Sarwer DB, Wadden TA (2012) Patients’ preferred terms for describing their excess weight: discussing obesity in clinical practice. Obesity 20(1):147–150
doi: 10.1038/oby.2011.217
Puhl RM, Himmelstein MS, Armstrong SC, Kingsford E (2017) Adolescent preferences and reactions to language about body weight. Int J Obes 41(7):1062–1065
doi: 10.1038/ijo.2017.55
Rose KL, Leonard KC, Chang T, Miller AL, Nichols LP, Plegue MA, Sonneville KR (2019) Responses to the word obese: definitions, associations, and assumptions made by adolescents and emerging adults. Stigma Health 4:10–13
Puhl RM (2020) What words should we use to talk about weight? A systematic review of quantitative and qualitative studies examining preferences for weight-related terminology. Obes Rev 21(6):e13008
doi: 10.1111/obr.13008
Dorsey RR, Eberhardt MS, Ogden CL (2009) Racial/ethnic differences in weight perception. Obesity (Silver Spring, Md) 17(4):790–795. https://doi.org/10.1038/oby.2008.603
doi: 10.1038/oby.2008.603