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Rounding as an indicator of bias in reported body weight in health surveys

Published online by Cambridge University Press:  15 September 2020

Juan Manuel García-González Open the ORCID record for Juan Manuel García-González [Opens in a new window]  and
Enrique Martin-Criado Open the ORCID record for Enrique Martin-Criado [Opens in a new window]
Juan Manuel García-González*
Affiliation:
Department of Sociology, Universidad Pablo de Olavide, Seville, Spain
Enrique Martin-Criado
Affiliation:
Department of Sociology, Universidad Pablo de Olavide, Seville, Spain
*
*Corresponding author. Email: jmgargon@upo.es
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Abstract

Due to the higher costs and selection bias of directly measuring weight, the majority of body weight data are based on survey responses. However, these statements are subject to systematic biases of social desirability; therefore, it is important to evaluate the magnitude of bias through indirect indicators such as rounding of weights. Data from seven rounds of the Spanish National Health Survey from 1995 to 2017 were included in the study, with 113,284 subjects. A general rounding index of weights terminating in 0 and 5, and a partial rounding index that estimated the bias direction, were used to estimate the bias distribution in the self-reporting of body weight. All body weights were systematically rounded, although more strongly in the lower weights and even more so in the higher weights. Lower weights were rounded up, and the higher weights rounded down. Regarding gender, men had higher rounding indices than women. The subjects generally reported a weight closer to the socially desirable weight. Rounding allows estimating the historical evolution of this bias in health and nutrition surveys, having more accurate information by population segments and designing public policies against obesity aimed at the more affected social segments.

Keywords

ObesityData qualityBody weight
Type
Research Article
Information
Journal of Biosocial Science , Volume 53 , Issue 5 , September 2021 , pp. 790 - 799
Copyright
© The Author(s), 2020. Published by Cambridge University Press

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References

Akin, JS, Bilsborrow, RE, Guilkey, DK and Popkin, BM (1986) Breastfeeding patterns and determinants in the Near East: an analysis for four countries. Population Studies 40(2), 247–262.CrossRefGoogle Scholar
Ariely, D (2012) The (Honest) Truth about Dishonesty: How We Lie to Everyone, Especially Ourselves. Harper Collins, New York.Google Scholar
Basterra-Gortari, FJ, Bes-Rastrollo, M, Forga, LI, Martínez, JA and Martinez-Gonzalez, MA (2007) Validación del índice de masa corporal auto-referido en la Encuesta Nacional de Salud. Anales del Sistema Sanitario de Navarra 30(3), 373–381.CrossRefGoogle Scholar
Bopp, M and Faeh, D (2008) End-digits preference for self-reported height depends on language. BMC Public Health 8(1), 342.CrossRefGoogle ScholarPubMed
Boström, G and Diderichsen, F (1997) Socioeconomic differentials in misclassification of height, weight and body mass index based on questionnaire data. International Journal of Epidemiology 26(4), 860–866.CrossRefGoogle ScholarPubMed
Brener, ND, McManus, T, Galuska, DA, Lowry, R and Wechsler, H (2003) Reliability and validity of self-reported height and weight among high school students. Journal of Adolescent Health 32(4), 281–287.CrossRefGoogle ScholarPubMed
Crawford, SL, Johannes, CB and Stellato, RK (2002) Assessment of digit preference in self-reported year at menopause: choice of an appropriate reference distribution. American Journal of Epidemiology 156(7), 676–683.CrossRefGoogle ScholarPubMed
Elgar, FJ and Stewart, JM (2008) Validity of self-report screening for overweight and obesity: evidence from the Canadian Community Health Survey. Canadian Journal of Public Health 99(5), 423–427.CrossRefGoogle ScholarPubMed
Ezzati, M, Martin, H, Skjold, S, van der Hoorn, S and Murray, C (2006) Trends in national and state-level obesity in the USA after correction for self-report bias: analysis of health surveys. Journal of the Royal Society of Medicine 99(5), 250–257.CrossRefGoogle ScholarPubMed
Germov, J and Williams, L (1996) The epidemic of dieting women: the need for a sociological approach to food and nutrition. Appetite 27(2), 97–108.CrossRefGoogle ScholarPubMed
Gorber, SC and Tremblay, MS (2010) The bias in self-reported obesity from 1976 to 2005: a Canada–US comparison. Obesity 18(2), 354–361.CrossRefGoogle Scholar
Gorber, SC, Tremblay, M, Moher, D and Gorber, B (2007) A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review. Obesity Reviews 8(4), 307–326.CrossRefGoogle Scholar
Hattori, A and Sturm, R (2013) The obesity epidemic and changes in self-report biases in BMI. Obesity 21(4), 856–860.CrossRefGoogle ScholarPubMed
Hebert, JR, Clemow, L, Pbert, L, Ockene, IS and Ockene, JK (1995) Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. International Journal of Epidemiology 24(2), 389–398.CrossRefGoogle ScholarPubMed
Hessel, PA (1986) Terminal digit preference in blood pressure measurements: effects on epidemiological associations. International Journal of Epidemiology 15(1), 122–125.CrossRefGoogle ScholarPubMed
Hill, A and Roberts, J (1998) Body mass index: a comparison between self-reported and measured height and weight. Journal of Public Health 20(2), 206–210.CrossRefGoogle ScholarPubMed
Jdanov, DA, Jasilionis, D, Soroko, EL, Rau, R and Vaupel, JW (2008) Beyond the Kannisto-Thatcher database on old age mortality: an assessment of data quality at advanced ages. MPIDR Working Paper from Max Planck Institute for Demographic Research No. WP-2008-13. URL: http://www.demogr.mpg.de/papers/working/wp-2008-013.pdf (accessed 2nd April 2020).CrossRefGoogle Scholar
Kannisto, V (1999) Assessing the information on age at death of old persons in national vital statistics. In Jeune, B and Vaupel, JW (eds) Validation of Exceptional Longevity. Odense University Press, Odense, pp. 240–249.Google Scholar
Lawlor, DA, Bedford, C, Taylor, M and Ebrahim, S (2002) Agreement between measured and self-reported weight in older women. Results from the British Women’s Heart and Health Study. Age and Ageing 31(3), 169–174.Google ScholarPubMed
MacLellan, DL, Taylor, JP, Van Til, L and Sweet, L (2004) Measured weights in PEI adults reveal higher than expected obesity rates. Canadian Journal of Public Health 95(3), 174–178.CrossRefGoogle ScholarPubMed
Niedhammer, I, Bugel, I, Bonenfant, S, Goldberg, M and Leclerc, A (2000) Validity of self-reported weight and height in the French GAZEL cohort. International Journal of Obesity 24(9), 1111–1118.CrossRefGoogle ScholarPubMed
Nietert, PJ, Wessell, AM, Feifer, C and Ornstein, SM (2006) Effect of terminal digit preference on blood pressure measurement and treatment in primary care. American Journal of Hypertension 19(2), 147–152.CrossRefGoogle ScholarPubMed
Park, JY, Mitrou, PN, Keogh, RH, Luben, RN, Wareham, NJ and Khaw, KT (2011) Effects of body size and sociodemographic characteristics on differences between self-reported and measured anthropometric data in middle-aged men and women: the EPIC-Norfolk study. European Journal of Clinical Nutrition 65(3), 357–367.CrossRefGoogle ScholarPubMed
Plankey, MW, Stevens, J, Fiegal, KM and Rust, PF (1997) Prediction equations do not eliminate systematic error in self-reported body mass index. Obesity Research 5(4), 308–314.CrossRefGoogle Scholar
Ridout, MS and Morgan, BJ (1991) Modelling digit preference in fecundability studies. Biometrics 47(4), 1423–1433.CrossRefGoogle ScholarPubMed
Rowland, ML (1990) Self-reported weight and height. American Journal of Clinical Nutrition 52(6), 1125–1133.CrossRefGoogle ScholarPubMed
Shields, M, Gorber, SC and Tremblay, MS (2008) Estimates of obesity based on self-report versus direct measures. Health Reports 19(2), 61–76.Google ScholarPubMed
Shiely, F, Hayes, K, Perry, IJ and Kelleher, CC (2013) Height and weight bias: the influence of time. PloS One 8(1), e54386.CrossRefGoogle ScholarPubMed
Sobal, J and Stunkard, AJ (1989) Socioeconomic status and obesity: a review of the literature. Psychological Bulletin 105(2), 260–275.CrossRefGoogle ScholarPubMed
Spencer, EA, Appleby, PN, Davey, GK and Key, TJ (2002) Validity of self-reported height and weight in 4808 EPIC–Oxford participants. Public Health Nutrition 5(4), 561–565.CrossRefGoogle ScholarPubMed
Spoorenberg, T and Dutreuilh, C (2007) Quality of age reporting: extension and application of the modified Whipple’s index. Population 62(4), 729–741.CrossRefGoogle Scholar
Stewart, AL (1982) The reliability and validity of self-reported weight and height. Journal of Chronic Diseases 35(4), 295–309.CrossRefGoogle ScholarPubMed
Stommel, M and Osier, N (2013) Temporal changes in bias of body mass index scores based on self-reported height and weight. International Journal of Obesity 37(3), 461–467.CrossRefGoogle ScholarPubMed
Stommel, M and Schoenborn, CA (2009) Accuracy and usefulness of BMI measures based on self-reported weight and height: findings from the NHANES & NHIS 2001–2006. BMC Public Health 9(1), 421.CrossRefGoogle ScholarPubMed
Taylor, AW, Dal Grande, E, Gill, TK, Chittleborough, CR, Wilson, DH, Adams, RJ et al. (2006) How valid are self-reported height and weight? A comparison between CATI self-report and clinic measurements using a large cohort study. Australian and New Zealand Journal of Public Health 30(3), 238–246.CrossRefGoogle Scholar
Uhrig, SN (2011) Understanding panel conditioning: an examination of social desirability bias in self-reported height and weight in panel surveys using experimental data. Longitudinal and Life Course Studies 3(1), 120–136.Google Scholar
Wen, SW, Kramer, MS, Hoey, J, Hanley, JA and Usher, RH (1993) Terminal digit preference, random error, and bias in routine clinical measurement of blood pressure. Journal of Clinical Epidemiology 46(10), 1187–1193.CrossRefGoogle ScholarPubMed
Yannakoulia, M, Panagiotakos, DB, Pitsavos, C and Stefanadis, C (2006) Correlates of BMI misreporting among apparently healthy individuals: the ATTICA study. Obesity 14(5), 894–901.CrossRefGoogle ScholarPubMed
Ziebland, S, Thorogood, M, Fuller, A and Muir, J (1996) Desire for the body normal: body image and discrepancies between self-reported and measured height and weight in a British population. Journal of Epidemiology and Community Health 50(1), 105–106.CrossRefGoogle Scholar