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A comparison of direct vs. self‐report measures for assessing height, weight and body mass index: a systematic review
Abstract
Summary: Obesity is a rapidly increasing public health problem, with surveillance most often based on self‐reported values of height and weight. We conducted a systematic review to determine what empirical evidence exists regarding the agreement between objective (measured) and subjective (reported) measures in assessing height, weight and body mass index (BMI). Five electronic databases were searched to identify observational and experimental studies on adult populations over the age of 18. Searching identified 64 citations that met the eligibility criteria and examined the relationship between self‐reported and directly measured height or weight. Overall, the data show trends of under‐reporting for weight and BMI and over‐reporting for height, although the degree of the trend varies for men and women and the characteristics of the population being examined. Standard deviations were large indicating that there is a great deal of individual variability in reporting of results. Combining the results quantitatively was not possible because of the poor reporting of outcomes of interest. Accurate estimation of these variables is important as data from population studies such as those included in this review are often used to generate regional and national estimates of overweight and obesity and are in turn used by decision makers to allocate resources and set priorities in health.
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Maternal Weight Gain in Women Who Develop Gestational Diabetes Mellitus
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The feasibility of establishing correction factors to adjust self-reported estimates of obesity.
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ResultGaining weight through retirement? Results from the SHARE survey
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Maternal and Paternal Body Mass Index and Offspring Obesity: A Systematic Review
Patro-Gołąb, B., Liber, A., Zalewski, B., Poston, L., Szajewska, H., & Koletzko, B. V. (2013) · Annals of Nutrition and Metabolism · doi:10.1159/000350313 · Cited by 122
Validity of FitBit, Jawbone UP, Nike+ and other wearable devices for level and stair walking
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“Previous research has shown that when self-reporting (as done in this study) subjects tend to slightly under-report weight and over-report height, though this tendency is more pronounced in overweight individuals [29,30].”
ResultFlexibility Training and Functional Ability in Older Adults: A Systematic Review
Stathokostas, L., Little, R. M. D., Vandervoort, A. A., & Paterson, D. H. (2012) · Journal of Aging Research · doi:10.1155/2012/306818 · Cited by 143
Prevalence and patterns of morbidity among adults in Germany
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“Self-reports of anthropometric information is known to be inexact, with height tending to be overestimated and weight underestimated.(52) The nature of individual misreporting is likely to be complex, being related not only to their actual size but also to other factors such as age and sex.”
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Periodontal complications with obesity
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State and Local Chronic Disease Surveillance Using Electronic Health Record Systems
Klompas, M., Cocoros, N. M., Menchaca, J. T., Erani, D., Hafer, E., Herrick, B., Josephson, M., Lee, M., Weiss, M. D. P., Zambarano, B., et al. (2017) · American Journal of Public Health · doi:10.2105/ajph.2017.303874 · Cited by 115
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“It might change over time and as social and cultural norms about the phenomenon changes.(1) To the best of our knowledge, the validity of self-reported height and weight has not been described in a Norwegian population.”
InfluentialPractitioner Advice and Gestational Weight Gain
Phelan, S., PHIPPS, M. G., Abrams, B. F., Darroch, F., Schaffner, A. A., & Wing, R. R. (2011) · Journal of Women s Health · doi:10.1089/jwh.2010.2316 · Cited by 113
“Prepregnancy weight was based on self-report, which may have led us to misclassify some overweight = obese women as normal weight, 36 but we were able to validate the recalled pre-pregnancy weights against objectively measured weights before pregnancy for approximately half of our sample.”
Prevalence of Child and Youth Obesity in Spain in 2012
Sánchez‐Cruz, J., Jiménez‐Moleón, J. J., Fernández-Quesada, F., & Sánchez, M. (2013) · Revista Española de Cardiología (English Edition) · doi:10.1016/j.rec.2012.10.012 · Cited by 111
Martin, A., Panter, J., Suhrcke, M., & Ogilvie, D. (2015) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2014-205211 · Cited by 110
Petrick, J. L., Thistle, J. E., Zeleniuch‐Jacquotte, A., Zhang, X., Wactawski‐Wende, J., Dyke, A. L. V., Stampfer, M. J., Sinha, R. R., Sesso, H. D., Schairer, C., et al. (2018) · The American Journal of Gastroenterology · doi:10.1038/s41395-018-0207-4 · Cited by 112
Eating habits, health attitudes and obesity indices among medical students in northern Greece
Chourdakis, M., Tzellos, T., Papazisis, G., Toulis, K. A., & Kouvelas, D. (2010) · Appetite · doi:10.1016/j.appet.2010.08.013 · Cited by 109
Episodic migraine and obesity and the influence of age, race, and sex
Peterlin, B. L., Rosso, A. L., Williams, M. A., Rosenberg, J. D., Haythornthwaite, J. A., Merikangas, K. R., Gottesman, R. F., Bond, D. S., He, J.-P., & Zonderman, A. B. (2013) · Neurology · doi:10.1212/wnl.0b013e3182a824f7 · Cited by 108
“For example, previous research has demonstrated that participants underestimate their weight (and thus their BMI) when self-reported.(31,32) Misclassification of BMI, unrelated to migraine status, would thus have biased ORs toward no association.”
ResultBody image satisfaction and weight concerns among a Mediterranean adult population
Bibiloni, M. D. M., Coll, J. L., Solé, J. P., Pons, A., & Tur, J. A. (2017) · BMC Public Health · doi:10.1186/s12889-016-3919-7 · Cited by 115
“weight and overestimate their height [15], and artificially lower their risk factor profile which may have negative health outcome implications.”
BackgroundJob Stress and Work Schedules in Relation to Nurse Obesity
Han, K., Trinkoff, A. M., Storr, C. L., & Geiger-Brown, J. M. (2011) · JONA The Journal of Nursing Administration · doi:10.1097/nna.0b013e3182346fff · Cited by 108
“Although body weight is often selfreported in large epidemiologic studies, respondents tend to underreport their weight.(45) Because of this concern about inaccurate self-reported body weight data, plus the sensitivity of weight data in females, the NWHS measured weight using a categorical variable.”
BackgroundRetail food environments research in Canada: A scoping review
Minaker, L. M., Shuh, A., Olstad, D. L., Engler‐Stringer, R., Black, J., & Mah, C. L. (2016) · Canadian Journal of Public Health · doi:10.17269/cjph.107.5344 · Cited by 106
A systematic review of interventions to foster physician resilience
Fox, S., Lydon, S., Byrne, D., Madden, C., Connolly, F., & O'Connor, P. E. (2017) · Postgraduate Medical Journal · doi:10.1136/postgradmedj-2017-135212 · Cited by 111
Use of self-reported height and weight biases the body mass index–mortality association
Keith, S. W., Fontaine, K. R., Pajewski, N. M., Mehta, T. S., & Allison, D. B. (2010) · International Journal of Obesity · doi:10.1038/ijo.2010.148 · Cited by 107
Examining binge-eating disorder and food addiction in adults with overweight and obesity
Ivezaj, V., White, M. A., & Grilo, C. M. (2016) · Obesity · doi:10.1002/oby.21607 · Cited by 104
Alkazemi, D. U. Z. (2018) · Nutrition and Health · doi:10.1177/0260106018817410 · Cited by 114
“Connor Gorber et al. (2007) and Binkley et al. (2009) showed that among college students in the US, female students had significantly higher actual BMI scores compared to their self-reported BMI scores.”
ResultPrevalence and Correlates of Overweight and Obesity in 12 European Countries in 2017–2018
Stival, C., Lugo, A., Odone, A., van den Brandt, P. A., Fernández, E., Tigova, O., Soriano, J. B., López, M. J., Scaglioni, S., Gallus, S., et al. (2022) · Obesity Facts · doi:10.1159/000525792 · Cited by 104
Early Life Course Risk Factors for Childhood Obesity: The IDEFICS Case-Control Study
Bammann, K., Peplies, J., Henauw, S. D., Hunsberger, M. L., Molnár, D., Moreno, L. A., Tornaritis, M. J., Veidebaum, T., Ahrens, W., & Siani, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086914 · Cited by 103
“Self-reported BMI is known to underestimate the true BMI, especially in the obese [43].”
BackgroundMalta, D. C., Andrade, S. C. D. A., Claro, R. M., Bernal, R. T. I., & Monteiro, C. A. (2014) · Revista Brasileira de Epidemiologia · doi:10.1590/1809-4503201400050021 · Cited by 102
Identifying Bias in Self-Reported Pro-Environmental Behavior
Koller, K., Pankowska, P., & Brick, C. (2022) · Current Research in Ecological and Social Psychology · doi:10.1016/j.cresp.2022.100087 · Cited by 133
Bogossian, F. E., Hepworth, J., Leong, G. M., Flaws, D., GIBBONS, K. S., Benefer, C., & Turner, C. T. (2012) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2012.01.003 · Cited by 102
Bae, J., Joung, H., Kim, J.-Y., Kwon, K. N., Kim, Y., & Park, S.-W. (2010) · Journal of Preventive Medicine and Public Health · doi:10.3961/jpmph.2010.43.5.396 · Cited by 102
“Although self-reported height and weight have been used for the assessment of overweight and obesity for reasons of low cost or convenience, previous studies have demonstrated that the prevalence estimates of overweight and obesity derived from self-reported data are likely to be underestimated among both adolescents…”
BackgroundMethodMcCrea, R. L., Berger, Y. G., & King, M. B. (2012) · International Journal of Obesity · doi:10.1038/ijo.2011.65 · Cited by 101
Frederick, D. A., Kelly, M. C., Latner, J. D., Sandhu, G., & Tsong, Y. (2016) · Body Image · doi:10.1016/j.bodyim.2015.12.002 · Cited by 115
Zickgraf, H. F., Ellis, J. M., & Essayli, J. H. (2018) · Appetite · doi:10.1016/j.appet.2018.12.006 · Cited by 101
“…fruit and vegetable intake, and to the currently unmeasured extent that orthorexic traits may systematically relate to individual differences in these response tendencies, this would limit interpretation of the results (Gorber, Tremblay, Moher, & Gorber, 2007; Marks, Hughes, & van der Pols, 2006).”
ResultChung, A. E., Perrin, E. M., & Skinner, A. C. (2013) · Academic Pediatrics · doi:10.1016/j.acap.2013.04.011 · Cited by 101
The obesity epidemic and changes in self‐report biases in BMI
Hattori, A., & Sturm, R. (2013) · Obesity · doi:10.1002/oby.20313 · Cited by 100
“Social desirability bias and recall error are wellknown reasons for measurement error (2-4).”
BackgroundKirkegaard, H., Støvring, H., Rasmussen, K. M., Abrams, B. F., Sørensen, T. I. A., & Nohr, E. A. (2013) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.067405 · Cited by 100
“High 12,383 (53) 493 (48) 9114 (56) 2136 (46) 640 (36) —”
Obesity and Physical Activity Among Aboriginal Canadians
Katzmarzyk, P. T. (2008) · Obesity · doi:10.1038/oby.2007.51 · Cited by 99
“Given the limitations associated with self-reported health data (19, 20), the purpose of this study was to examine the prevalence of measured obesity among Aboriginal Canadians and compare them to general population estimates.”
ResultAnema, A., Chan, K., Chen, Y., Weiser, S. D., Montaner, J. S. G., & Hogg, R. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061277 · Cited by 97
Yoong, S. L., Carey, M. L., D’Este, C. A., & Sanson‐Fisher, R. (2013) · BMC Medical Research Methodology · doi:10.1186/1471-2288-13-38 · Cited by 100
“2 cm in females) in the general population [8].”
BackgroundResultInfluentialAilshire, J., & House, J. S. (2011) · Social Forces · doi:10.1093/sf/sor001 · Cited by 103
The Bias in Self‐reported Obesity From 1976 to 2005: A Canada–US Comparison
Gorber, S. C., & Tremblay, M. S. (2009) · Obesity · doi:10.1038/oby.2009.206 · Cited by 98
“Research has found, however, that self-reports overestimate height and underestimate weight, which leads to an underestimation of the BMI and consequently of obesity prevalence (7,8).”
BackgroundResultSelf-citationCust, A. E., Stocks, T., Lukanova, A., Lundin, E., Hallmans, G., Kaaks, R., Jönsson, H., & Stattin, P. E. (2008) · Breast Cancer Research and Treatment · doi:10.1007/s10549-008-9958-8 · Cited by 98
Food addiction and bulimia nervosa: New data based on the yale food addiction scale 2.0
de Vries, S., & Meule, A. (2016) · European Eating Disorders Review · doi:10.1002/erv.2470 · Cited by 97
Validity of Self-reported Weights Following Bariatric Surgery
Christian, N. J., King, W. C., Yanovski, S. Z., Courcoulas, A. P., & Belle, S. H. (2013) · JAMA · doi:10.1001/jama.2013.281043 · Cited by 97
“Annually, participants were asked to report on mailed questionnaires 2 postoperative weights and the dates that those weights were measured: (1) weight from last medical office or weight loss program visit (self-reported medical weight) and (2) last self-weight (self-reported personal weight).”
Associations between Cardiorespiratory Fitness and Health-Related Quality of Life
Sloan, R. A., Sawada, S. S., Martin, C. K., Church, T. R., & Blair, S. N. (2009) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-7-47 · Cited by 97
“It has also been found that self-report methods of BMI are influenced by under reporting for weight and over reporting for height [16].”
Age standardization in mapping adult overweight and obesity trends in the WHO European Region
Doak, C. M., Wijnhoven, T. M. A., Schokker, D. F., Visscher, T. L. S., & Seidell, J. C. (2011) · Obesity Reviews · doi:10.1111/j.1467-789x.2011.00943.x · Cited by 96
Lassale, C. M., Fezeu, L., Andreeva, V. A., Herçberg, S., Kengne, A. P., Czernichow, S., & Kesse‐Guyot, E. (2012) · International Journal of Obesity · doi:10.1038/ijo.2011.264 · Cited by 96
Parenthood and trajectories of change in body weight over the life course
Umberson, D., Liu, H., Mirowsky, J., & Reczek, C. (2011) · Social Science & Medicine · doi:10.1016/j.socscimed.2011.08.014 · Cited by 107
Outdoor advertising, obesity, and soda consumption: a cross-sectional study
Lesser, L. I., Zimmerman, F. J., & Cohen, D. A. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-20 · Cited by 93
“BMI data are likely under-reported by about 1 unit (kg/m(2)) [38], which could have shifted the BMI distribution in our study downward.”
BackgroundWeight discrimination, anticipated weight stigma, and disordered eating.
Hunger, J. M., Dodd, D. R., & Smith, A. R. (2020) · Eating Behaviors · doi:10.1016/j.eatbeh.2020.101383 · Cited by 102
Increase of chronic low back pain prevalence in a medium-sized city of southern Brazil
Meucci, R. D., Fassa, A. G., Paniz, V. M., da Silva, M. C., & Wegman, D. H. (2013) · BMC Musculoskeletal Disorders · doi:10.1186/1471-2474-14-155 · Cited by 95
“By the crude analysis, gender, age, education, smoking, BMI, repetitiveness, weight lifting/loading and forced/awkward position were all associated with CLBP. ‘Being female’ (PRR 1.76), ‘smoker’ (PRR 1.48) and ‘married’ (PRR 1.31) represented risk factors for CLBP. Increasing ‘Age’ and ‘BMI’ were linear positive assoc…”
InfluentialStress, shift duty, and eating behavior among nurses in Central Saudi Arabia
Almajwal, A. M. (2016) · Saudi Medical Journal · doi:10.15537/smj.2016.2.13060 · Cited by 105
Reychav, I., Beeri, R., Balapour, A., Raban, D. R., Sabherwal, R., & Azuri, J. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.09.024 · Cited by 101
Metadata
- Authors
- Gorber, S. C., Tremblay, M., Moher, D., & Gorber, B.
- Affiliations
- Statistics Canada (CA)
- University of Ottawa (CA)
- Corresponding author
- Gorber, S. Connor
- Venue
- Obesity Reviews
- Publisher
- Wiley
- Published
- 2007-01-26
- Volume
- 8
- Issue
- 4
- Pages
- 307-326
- ISSN
- 1467-7881 (ISSN-L)
- 1467-789X
- OpenAlex
- W2011137594
- Cited by
- 1,945
- References
- 80
- Citations by year
- 2026: 40 · 2025: 58 · 2024: 80 · 2023: 69 · 2022: 77 · 2021: 98 · 2020: 104 · 2019: 113 · 2018: 114 · 2017: 127 · 2016: 142 · 2015: 135 · 2014: 145 · 2013: 172 · 2012: 127
- FWCI
- 11.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Obesity Reviews (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Keywords
- self-reported height, self-reported weight, body mass index, obesity surveillance, measurement agreement, adults
- MeSH terms
- Adult, Aged, Aged, 80 and over, Body Height, Body Weight, Body Weights and Measures, Female, Humans, Male, Middle Aged, Obesity, Self Disclosure, Reproducibility of Results, Body Mass Index, Sex Distribution
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