Cited by 599Obesity, Physical Activity, DietStatistical Methods in EpidemiologyBody Composition Measurement Techniques

The DOI matches its Crossref record; 24 of the 25 references it cites were found in a registry or an index.

Accuracy and usefulness of BMI measures based on self-reported weight and height: findings from the NHANES & NHIS 2001-2006

Open access

Stommel, Manfred, Schoenborn, Charlotte A·2009·BMC Public Health

DOI 10.1186/1471-2458-9-421PMC PMC2784464

Open this paper in CoChat — free account Open PDF

Abstract

BACKGROUND: The Body Mass Index (BMI) based on self-reported height and weight ("self-reported BMI") in epidemiologic studies is subject to measurement error. However, because of the ease and efficiency in gathering height and weight information through interviews, it remains important to assess the extent of error present in self-reported BMI measures and to explore possible adjustment factors as well as valid uses of such self-reported measures. METHODS: Using the combined 2001-2006 data from the continuous National Health and Nutrition Examination Survey, discrepancies between BMI measures based on self-reported and physical height and weight measures are estimated and socio-demographic predictors of such discrepancies are identified. Employing adjustments derived from the socio-demographic predictors, the self-reported measures of height and weight in the 2001-2006 National Health Interview Survey are used for population estimates of overweight & obesity as well as the prediction of health risks associated with large BMI values. The analysis relies on two-way frequency tables as well as linear and logistic regression models. All point and variance estimates take into account the complex survey design of the studies involved. RESULTS: Self-reported BMI values tend to overestimate measured BMI values at the low end of the BMI scale (< 22) and underestimate BMI values at the high end, particularly at values > 28. The discrepancies also vary systematically with age (younger and older respondents underestimate their BMI more than respondents aged 42-55), gender and the ethnic/racial background of the respondents. BMI scores, adjusted for socio-demographic characteristics of the respondents, tend to narrow, but do not eliminate misclassification of obese people as merely overweight, but health risk estimates associated with variations in BMI values are virtually the same, whether based on self-report or measured BMI values. CONCLUSION: BMI values based on self-reported height and weight, if corrected for biases associated with socio-demographic characteristics of the survey respondents, can be used to estimate health risks associated with variations in BMI, particularly when using parametric prediction models.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1186/1471-2458-9-421

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001
Mokdad, A. H., Ford, E. S., Bowman, B. A., Dietz, W. H., Vinicor, F., Bales, V. S., & Marks, J. S. (2003) · JAMA · doi:10.1001/jama.289.1.76 · Cited by 5,866
A comparison of direct vs. self‐report measures for assessing height, weight and body mass index: a systematic review
Gorber, S. C., Tremblay, M., Moher, D., & Gorber, B. (2007) · Obesity Reviews · doi:10.1111/j.1467-789x.2007.00347.x · Cited by 1,945
Summary Health Statistics for U.S. Adults: National Health Interview Survey, 2006
Pleis, J. R., & Lethbridge‐Çejku, M. (2007) · PsycEXTRA Dataset · doi:10.1037/e403882008-001 · Cited by 1,441
BMI-related errors in the measurement of obesity
Rothman, K. J. (2008) · International Journal of Obesity · doi:10.1038/ijo.2008.87 · Cited by 1,194
Dose-Response and Trend Analysis in Epidemiology
Greenland, S. (1995) · Epidemiology · doi:10.1097/00001648-199507000-00005 · Cited by 1,086
Validity of self-reported height and weight in 4808 EPIC–Oxford participants
Spencer, E. A., Appleby, P. N., Davey, G. K., & Key, T. J. (2002) · Public Health Nutrition · doi:10.1079/phn2001322 · Cited by 1,082
Effects of Age on Validity of Self-Reported Height, Weight, and Body Mass Index
KUCZMARSKI, M. F., KUCZMARSKI, R. J., & NAJJAR, M. (2001) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(01)00008-6 · Cited by 965
Effect of BMI on Lifetime Risk for Diabetes in the U.S.
Narayan, K. M. V., Boyle, J. P., Thompson, T. J., Gregg, E. W., & Williamson, D. F. (2007) · Diabetes Care · doi:10.2337/dc06-2544 · Cited by 510
The validity of self-reported weight in US adults: a population based cross-sectional study
Villanueva, E. (2001) · BMC Public Health · doi:10.1186/1471-2458-1-11 · Cited by 336
Race-ethnicity–specific waist circumference cutoffs for identifying cardiovascular disease risk factors1–3
Zhu, S., Heymsfield, S. B., Toyoshima, H., Wang, Z., Pietrobelli, A., & Heshka, S. (2005) · American Journal of Clinical Nutrition · doi:10.1093/ajcn.81.2.409 · Cited by 288

Flagged first, then by citations

Show all 25 references

1 of the 25 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

StataCorp: Stata Statistical Software: Release 10.1. 2008, College Station, TX: StataCorp LP

Sorted by citations

Items 201–300 of 598

Implications of differing attitudes and experiences between providers and persons with obesity: results of the national ACTION study
Look, M., Kolotkin, R. L., Dhurandhar, N. V., Nadglowski, J. F., Stevenin, B., & Golden, A. K. (2019) · Postgraduate Medicine · doi:10.1080/00325481.2019.1620616 · Cited by 28
BMI and healthy life expectancy in old and very old women
Leigh, L., Byles, J., & Jagger, C. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114516002403 · Cited by 28
Patterns of body image concerns in adolescence and early adulthood: A latent profile analysis
Hoffmann, S., & Warschburger, P. (2018) · Eating Behaviors · doi:10.1016/j.eatbeh.2018.02.002 · Cited by 27
Childhood and family influences on body mass index in early adulthood: findings from the Ontario Child Health Study
González, A., Boyle, M. H., Georgiades, K., Duncan, L., Atkinson, L. R., & MacMillan, H. L. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-755 · Cited by 27
Gender and Ethnic Differences in the Association Between Body Image Dissatisfaction and Binge Eating Disorder among Blacks
Blostein, F., Assari, S., & Caldwell, C. H. (2016) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-016-0255-7 · Cited by 30
Improving mental health through integration with primary care in rural Karnataka: study protocol of a cluster randomized control trial
Srinivasan, K., Mazur, A., Mony, P. K., Whooley, M. A., & Ekstrand, M. L. (2018) · BMC Family Practice · doi:10.1186/s12875-018-0845-z · Cited by 28
Examining validity of body mass index calculated using height and weight data from the US driver license
Chernenko, A., Meeks, H., & Smith, K. R. (2019) · BMC Public Health · doi:10.1186/s12889-019-6391-3 · Cited by 29
The Influence of Weight-Related Self-Esteem and Symptoms of Depression on Shape and Weight Concerns and Weight-Loss 12 Months After Bariatric Surgery
Felske, A. N., Williamson, T., Scurrey, S. R. M., Telfer, J., Campbell, T., & Rash, J. A. (2020) · Obesity Surgery · doi:10.1007/s11695-020-05097-9 · Cited by 19
Decreases in Diabetes-Free Life Expectancy in the U.S. and the Role of Obesity
Cunningham, S. A., Riosmena, F., Wang, J., Boyle, J. P., Rolka, D. B., & Geiss, L. S. (2011) · Diabetes Care · doi:10.2337/dc11-0462 · Cited by 26
Pre-pregnancy body mass index and the risk of antenatal depression and anxiety
Holton, S., Fisher, J., Nguyen, H. T. M., Brown, W. J., & Tran, T. D. (2019) · Women and Birth · doi:10.1016/j.wombi.2019.01.007 · Cited by 29
Increased body mass index is a risk factor for end-stage renal disease in the Chinese Singapore population
Lew, Q.-L. J., Jafar, T. H., Talaei, M., Jin, A., Chow, K. Y., Yuan, J., & Koh, W. (2017) · Kidney International · doi:10.1016/j.kint.2017.03.019 · Cited by 25
Anthropometric assessment in ambulatory nutrition amid the COVID-19 pandemic: Possibilities for the remote and in-person care
Bagni, U. V., Ribeiro, K. D. D. S., Bezerra, D. S., de Barros, D. C., Fittipaldi, A. L. D. M., Araújo, R. G. P. D. S., & Ferreira, A. A. (2020) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2020.11.022 · Cited by 27
Race, Social Determinants of Health, and Risk of All-Cause and Cardiovascular Mortality in the United States
Javed, Z., Elizondo, J. V., Cainzos‐Achirica, M., Sharma, G. V., Mossialos, E. A., Parekh, T., Hagan, K., Hyder, A. A., Kash, B. A., & Nasir, K. (2023) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-023-01567-9 · Cited by 25
Is There a Crisis in Clergy Health?: Reorienting Research Using a National Sample
Holleman, A., & Eagle, D. E. (2023) · Journal for the Scientific Study of Religion · doi:10.1111/jssr.12859 · Cited by 25
Body Mass Index in Multiple Sclerosis: Associations with CSF Neurotransmitter Metabolite Levels
Markianos, M., Evangelopoulos, M., Koutsis, G., Davaki, P., & Sfagos, C. (2013) · ISRN Neurology · doi:10.1155/2013/981070 · Cited by 25
A Web-Based Approach to Address Cardiovascular Risks in Managers
Bennett, J. B., Broome, K. M., Schwab-Pilley, A., & Gilmore, P. L. (2011) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0b013e3182258bd8 · Cited by 25
Ethnic-group socioeconomic status as an indicator of community-level disadvantage: A study of overweight/obesity in Asian American adolescents
Cook, W. K., Tseng, W., Tam, C. C., John, I., & Lui, C. K. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.04.027 · Cited by 25
Patterns and predictors of adherence to colorectal cancer screening recommendations in Alberta’s Tomorrow Project participants stratified by risk
Solbak, N. M., Xu, J., Vena, J. E., Rajabi, A. A., Vaseghi, S., Whelan, H. K., & McGregor, S. E. (2018) · BMC Public Health · doi:10.1186/s12889-018-5095-4 · Cited by 25
Validity of Self-reported Height, Weight, Body Mass Index, and Waist Circumference in Iranian Adults
Aminianfar, A., Saneei, P., Nouri, M., Shafiei, R., Keshteli, A. H., Esmaillzadeh, A., & Adibi, P. (2021) · International Journal of Preventive Medicine · doi:10.4103/ijpvm.ijpvm_422_18 · Cited by 26
Does an elite education benefit health? Findings from the 1970 British Cohort Study
Bann, D., Hamer, M., Parsons, S., Ploubidis, G. B., & Sullivan, A. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw045 · Cited by 24
Ethnicity, socioeconomic status, and overweight in Asian American adolescents
Cook, W. K., Tseng, W., Bautista, R., & John, I. (2016) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2016.06.010 · Cited by 24
Predictors of BMI Vary along the BMI Range of German Adults - Results of the German National Nutrition Survey II
Moon, K., Krems, C., Heuer, T., Roth, A., & Hoffmann, I. (2017) · Obesity Facts · doi:10.1159/000456665 · Cited by 24
Coronary Artery Bypass Graft Patients’ Perception about the Risk Factors of Illness: Educational Necessities of Second Prevention
Soroush, A., Komasi, S., Saeidi, M., Heydarpour, B., Carrozzino, D., Fulcheri, M., Marchettini, P., Rabboni, M., & Compare, A. (2017) · Annals of Cardiac Anaesthesia · doi:10.4103/aca.aca_19_17 · Cited by 24
Serum Leptin Levels in Treatment-Naive Patients with Clinically Isolated Syndrome or Relapsing-Remitting Multiple Sclerosis
Evangelopoulos, M., Koutsis, G., & Markianos, M. (2014) · Autoimmune Diseases · doi:10.1155/2014/486282 · Cited by 24
The Relationship Between Health-Related Quality of Life and Body Mass Index
McLaughlin, L., & Hinyard, L. (2014) · Western Journal of Nursing Research · doi:10.1177/0193945913520415 · Cited by 23
The impact of overweight/obesity duration and physical activity on telomere length: An application of the WATCH paradigm
Dankel, S. J., Loenneke, J. P., & Loprinzi, P. D. (2016) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2016.11.002 · Cited by 23
Compliance with Dietary Guidelines Varies by Weight Status: A Cross-Sectional Study of Australian Adults
Hendrie, G. A., Golley, R. K., & Noakes, M. (2018) · Nutrients · doi:10.3390/nu10020197 · Cited by 23
Associations between the neighbourhood characteristics and body mass index, waist circumference, and waist-to-hip ratio: Findings from Alberta's Tomorrow Project
Nichani, V., Turley, L., Vena, J. E., & McCormack, G. R. (2020) · Health & Place · doi:10.1016/j.healthplace.2020.102357 · Cited by 24
Metabolically Healthy Obesity: Are Interventions Useful?
Mathis, B. J., Tanaka, K., & Hiramatsu, Y. (2023) · Current Obesity Reports · doi:10.1007/s13679-023-00494-4 · Cited by 27
The Role of Marital Status in Physical Activity Among African American and White Men
Porch, T., Bell, C. N., Bowie, J. V., Usher, T., Kelly, E. A., LaVeist, T. A., & Thorpe, R. J. (2015) · American Journal of Men s Health · doi:10.1177/1557988315576936 · Cited by 23
Sex-Specific Predictors of Intra-articular Injuries Observed During Anterior Cruciate Ligament Reconstruction
Kluczynski, M. A., Marzo, J. M., Rauh, M. A., Bernas, G. A., & Bisson, L. J. (2015) · Orthopaedic Journal of Sports Medicine · doi:10.1177/2325967115571300 · Cited by 23
Obesity or diabetes: which is more hazardous to the health of the offspring?
Langer, O. (2014) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.3109/14767058.2014.995084 · Cited by 22
Body mass index and lung cancer risk: results from the ICARE study, a large, population-based case–control study
Tarnaud, C., Guida, F., Papadopoulos, A., Cénée, S., Cyr, D., Schmaus, A., Radoï, L., Paget‐Bailly, S., Menvielle, G., Buémi, A., et al. (2012) · Cancer Causes & Control · doi:10.1007/s10552-012-9980-3 · Cited by 23
Associations between food environment typologies and body mass index: Evidence from Yorkshire, England
Hobbs, M., Green, M. A., Wilkins, E. L., Lamb, K. E., McKenna, J., & Griffiths, C. (2019) · Social Science & Medicine · doi:10.1016/j.socscimed.2019.112528 · Cited by 24
Gender Differences in Type 2 Diabetes Risk Perception, Attitude, and Protective Health Behaviors: A Study of Overweight and Obese College Students
Amuta, A. O., Jacobs, W., Barry, A. E., Popoola, O. A., & Crosslin, K. (2016) · American Journal of Health Education · doi:10.1080/19325037.2016.1203836 · Cited by 22
Gestational weight gain within recommended ranges in consecutive pregnancies: A retrospective cohort study
Waring, M. E., Simas, T. A. M., & Liao, X. (2012) · Midwifery · doi:10.1016/j.midw.2012.04.014 · Cited by 22
Estimating Disability Prevalence Among Adults by Body Mass Index: 2003–2009 National Health Interview Survey
Armour, B. S., Courtney‐Long, E. A., Campbell, V. A., & Wethington, H. R. (2012) · Preventing Chronic Disease · doi:10.5888/pcd9.120136 · Cited by 22
Increased maternal BMI is associated with infant wheezing in early life: a prospective cohort study
de Vries, A., Reynolds, R. M., Seckl, J. R., van der Wal, M., Bonsel, G. J., & Vrijkotte, T. G. M. (2014) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174414000312 · Cited by 22
Integrating eating disorder-specific risk factors into the acquired preparedness model of dysregulated eating: A moderated mediation analysis
Racine, S. E., & Martin, S. J. (2016) · Eating Behaviors · doi:10.1016/j.eatbeh.2016.12.007 · Cited by 22
How do UK physiotherapists address weight loss among individuals with hip osteoarthritis? A mixed‐methods study
Holden, M. A., Waterfield, J., Whittle, R., Bennell, K. L., Quicke, J. G., Chesterton, L. S., & Mallen, C. D. (2019) · Musculoskeletal Care · doi:10.1002/msc.1383 · Cited by 23
Translating, modifying, and validating the Adult Picky Eating Questionnaire for use in China
He, J., Ellis, J. M., Zickgraf, H. F., & Fan, X. (2019) · Eating Behaviors · doi:10.1016/j.eatbeh.2019.04.002 · Cited by 22
Gardening and age-related weight gain: Results from a cross-sectional survey of Denver residents
Litt, J., Lambert, J. R., & Glueck, D. H. (2017) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2017.10.018 · Cited by 22
Role of childhood maltreatment on weight and weight-related behaviors in adulthood.
Ruiz, A. L., & Font, S. A. (2020) · Health Psychology · doi:10.1037/hea0001027 · Cited by 20
National trends in rheumatoid arthritis and osteoarthritis prevalence in South Korea, 1998–2021
Park, J., Lee, M., Lee, H., Kim, H. J., Kwon, R., Yang, H., Lee, S. W., Kim, S., Rahmati, M., Koyanagi, A., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-46279-6 · Cited by 21
Effects of a physical activity and nutrition program for seniors on body mass index and waist-to-hip ratio: A randomised controlled trial
Burke, L., Lee, A. H., Pasalich, M., Jancey, J. M., Kerr, D. A., & Howat, P. A. (2012) · Preventive Medicine · doi:10.1016/j.ypmed.2012.03.015 · Cited by 23
Who perceives a higher personal risk of developing type 2 diabetes? A cross-sectional study on associations between personality traits, health-related behaviours and perceptions of susceptibility among university students in Denmark
Skøt, L., Nielsen, J. B., & Leppin, A. (2018) · BMC Public Health · doi:10.1186/s12889-018-5884-9 · Cited by 20
Productivity or discrimination? An economic analysis of excess-weight penalty in the Swedish labor market
Dackehag, M., Gerdtham, U., & Nordin, M. (2014) · The European Journal of Health Economics · doi:10.1007/s10198-014-0611-7 · Cited by 21
Causal relations between body-mass index, self-rated health and active travel: An empirical study based on longitudinal data
de Haas, M., Kroesen, M., Chorus, C. G., Hoogendoorn-Lanser, S., & Hoogendoorn, S. P. (2021) · Journal of Transport & Health · doi:10.1016/j.jth.2021.101113 · Cited by 22
Nutritional status of leprosy patients in India.
Rao, P. S. S., & John, A. S. (2012) · PubMed · Cited by 20
Identifying persons at risk for developing type 2 diabetes in a concentrated population of high risk ethnicities in Canada using a risk assessment questionnaire and point-of-care capillary blood HbA1cmeasurement
Rowan, C. P., Miadovnik, L. A., Riddell, M. C., Rotondi, M. A., Gledhill, N., & Jamnik, V. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-929 · Cited by 20
Exploring racial differences in the obesity gender gap
Seamans, M. J., Robinson, W. R., Thorpe, R. J., Cole, S. R., & LaVeist, T. A. (2015) · Annals of Epidemiology · doi:10.1016/j.annepidem.2015.03.010 · Cited by 20
Peer‐Effects in Obesity among Public Elementary School Children: A Grade‐Level Analysis
Asirvatham, J., Nayga, R. M., & Thomsen, M. R. (2014) · Applied Economic Perspectives and Policy · doi:10.1093/aepp/ppu011 · Cited by 22
Long‐term self‐reported exposure to occupational noise is associated with BMI‐defined obesity in the US general population
Dzhambov, A. M., & Dimitrova, D. (2016) · American Journal of Industrial Medicine · doi:10.1002/ajim.22609 · Cited by 20
Accuracy of self-reported height, body mass and derived body mass index in a group of United States law enforcement officers
Jay, D., Lockie, R. G., Kukić, F., Čvorović, A., Kornhauser, C. L., Holmes, R. J., & Orr, R. M. (2019) · Nauka bezbednost policija · doi:10.5937/nabepo24-21191 · Cited by 20
The Unequal Effect of Income on Risk of Overweight/Obesity of Whites and Blacks with Knee Osteoarthritis: the Osteoarthritis Initiative
Assari, S., Bazargan, M., & Chalian, M. (2020) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-020-00719-5 · Cited by 20
Mortality Risks Associated with Average Drinking Level and Episodic Heavy Drinking
Schoenborn, C. A., Stommel, M., & Ward, B. W. (2014) · Substance Use & Misuse · doi:10.3109/10826084.2014.891620 · Cited by 20
Bariatric surgery and weight loss in the short‐ and long‐term: Evidence from NHANES 2015–2018
Xie, W., Johnston, S. S., Waggoner, J. R., Doshi, I., & Stokes, A. C. (2022) · Clinical Obesity · doi:10.1111/cob.12563 · Cited by 17
Cumulative Social Disadvantage and All-Cause Mortality in the United States: Findings from a National Study
Javed, Z., Elizondo, J. V., Khan, S. U., Taha, M. B., Maqsood, M. H., Mossialos, E. A., Sharma, G. V., Hyder, A. A., Cainzos‐Achirica, M., & Nasir, K. (2022) · Population Health Management · doi:10.1089/pop.2022.0184 · Cited by 19
Clinically Significant Weight Gain 1 Year After Occupational Back Injury
Keeney, B. J., Fulton‐Kehoe, D., Wickizer, T. M., Turner, J. A., Chan, K. C. G., & Franklin, G. M. (2012) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0b013e31827943c6 · Cited by 19
Self-reported weight and predictors of missing responses in youth
Aceves‐Martins, M., Whitehead, R., Inchley, J., Giralt, M., Currie, C., & Solà, R. (2018) · Nutrition · doi:10.1016/j.nut.2018.01.003 · Cited by 20
Do the Low WHRs and BMIs Judged Most Attractive Indicate Better Health?
Lassek, W. D., & Gaulin, S. J. C. (2018) · Evolutionary Psychology · doi:10.1177/1474704918803998 · Cited by 19
A significant correlation between body surface area and infrarenal aortic diameter is detected in a large screening population with possibly clinical implications
Starck, J., Aaltonen, H. L., Björses, K., Lundgren, F., Gottsäter, A., Sonesson, B., & Holst, J. (2019) · International Angiology · doi:10.23736/s0392-9590.19.04071-9 · Cited by 19
Postdiagnosis weight change is associated with poorer survival in breast cancer survivors: A prospective population‐based patient cohort study
Jung, A. Y., Hüsing, A., Behrens, S., Krzykalla, J., Obi, N., Becher, H., & Chang-Claude, J. C. (2020) · International Journal of Cancer · doi:10.1002/ijc.33181 · Cited by 19
Limb, Sex, and Anthropometric Factors Influencing Normative Data for the Biodex Balance System SD Athlete Single Leg Stability Test
Riemann, B. L., & Davies, G. J. (2013) · Athletic Training & Sports Health Care · doi:10.3928/19425864-20130827-02 · Cited by 19
Food Hardship and Obesity in a Sample of Low-Income Immigrants
Caspi, C. E., Tucker‐Seeley, R. D., Adamkiewicz, G., Roberto, C. A., Stoddard, A. M., & Sorensen, G. (2016) · Journal of Immigrant and Minority Health · doi:10.1007/s10903-016-0344-z · Cited by 19
Fear of fat and restrained eating: negative body talk between female friends as a moderator
Chow, C. M., Ruhl, H., Tan, C. C., & Ellis, L. (2017) · Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity · doi:10.1007/s40519-017-0459-9 · Cited by 20
Validity of self-reported weight, height, and body mass index among African American breast cancer survivors
Qin, B., Llanos, A. A. M., Lin, Y., Szamreta, E. A., Plascak, J. J., Oh, H., Pawlish, K. S., Ambrosone, C. B., Demissie, K., Hong, C., et al. (2018) · Journal of Cancer Survivorship · doi:10.1007/s11764-018-0685-9 · Cited by 19
The relationship between obesity and suicide ideation among young adults in the United States
Graham, C., & Frisco, M. L. (2022) · SSM - Population Health · doi:10.1016/j.ssmph.2022.101106 · Cited by 18
A review of the application of machine learning in adult obesity studies
Alkhalaf, M., Yu, P., Shen, J., & Deng, C. (2022) · Applied Computing and Intelligence · doi:10.3934/aci.2022002 · Cited by 20
Sources and severity of bias in estimates of the BMI–mortality association
Masters, R. K. (2023) · Population Studies · doi:10.1080/00324728.2023.2168035 · Cited by 20
Associations of Asian Ethnicity and Parental Education with Overweight in Asian American Children and Adolescents: An Analysis of 2011–2016 National Health and Nutrition Examination Surveys
Cook, W. K., & Tseng, W. (2019) · Maternal and Child Health Journal · doi:10.1007/s10995-018-2662-3 · Cited by 18
The Impact of Smoking and Multiple Health Behaviors on All-Cause Mortality
Choi, S. H., Stommel, M., Ling, J., Noonan, D., & Chung, J. (2020) · Behavioral Medicine · doi:10.1080/08964289.2020.1796570 · Cited by 19
What is the relationship between body mass index and eating disorder symptomatology in professional female fashion models?
Ralph‐Nearman, C., Yeh, H., Khalsa, S. S., Feusner, J. D., & Filik, R. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113358 · Cited by 18
Co-morbidity and predictors of health status in older rural breast cancer survivors
Azuero, A., Benz, R. L., McNees, P., & Meneses, K. (2014) · SpringerPlus · doi:10.1186/2193-1801-3-102 · Cited by 18
The Concise Physical Activity Questionnaire (CPAQ): Its development, validation, and application to firefighter occupational health.
Sliter, K. A., & Sliter, M. T. (2014) · International Journal of Stress Management · doi:10.1037/a0035638 · Cited by 25
Does Economic Insecurity Cause Weight Gain Among Canadian Labor Force Participants?
Watson, B. (2017) · Review of Income and Wealth · doi:10.1111/roiw.12293 · Cited by 18
Body mass and wages: New evidence from quantile estimation
Slade, P. (2017) · Economics & Human Biology · doi:10.1016/j.ehb.2017.07.001 · Cited by 17
Differences in pre-conception and pregnancy healthy lifestyle advice by maternal BMI: Findings from a cross sectional survey
Bye, A., Shawe, J., Stephenson, J., Bick, D., Brima, N., & Micali, N. (2016) · Midwifery · doi:10.1016/j.midw.2016.09.013 · Cited by 17
Health-related parental indicators and their association with healthy weight and overweight/obese children’s physical activity
Sigmund, E., Sigmundová, D., Baďura, P., & Gecková, A. M. (2018) · BMC Public Health · doi:10.1186/s12889-018-5582-7 · Cited by 17
Associations of gestational weight gain with offspring thinness and obesity: by prepregnancy body mass index
Wan, N., Cai, L., Tan, W., Zhang, T., Yang, J., & Chen, Y. (2018) · Reproductive Health · doi:10.1186/s12978-018-0585-5 · Cited by 16
Obesity Trends Among US Adults With Doctor‐Diagnosed Arthritis 2009–2014
Barbour, K. E., Helmick, C. G., Boring, M. A., Qin, J., Pan, L., & Hootman, J. M. (2016) · Arthritis Care & Research · doi:10.1002/acr.22958 · Cited by 17
OSA in Professional Transport Operations
Gurubhagavatula, I., Tan, M., & Jobanputra, A. M. (2020) · CHEST Journal · doi:10.1016/j.chest.2020.05.582 · Cited by 17
Does the use of prediction equations to correct self-reported height and weight improve obesity prevalence estimates? A pooled cross-sectional analysis of Health Survey for England data
Scholes, S., Fat, L. N., Moody, A., & Mindell, J. S. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-061809 · Cited by 17
Built environment and active play among Washington DC metropolitan children: A protocol for a cross-sectional study
Roberts, J. D., Ray, R., Biles, A. D., Knight, B. E., & Saelens, B. E. (2015) · Archives of Public Health · doi:10.1186/s13690-015-0070-3 · Cited by 17
Alcohol and Binge Eating as Mediators between Post-traumatic Stress Disorder Symptom Severity and Body Mass Index
Cronce, J. M., Bedard-Gilligan, M., Zimmerman, L., Hodge, K. A., & Kaysen, D. (2017) · Obesity · doi:10.1002/oby.21809 · Cited by 14
School- and Individual-level Predictors of Weight Status Misperception among Korean Adolescents: A National Online Survey
Kim, Y., & Kawachi, I. I. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154826 · Cited by 16
A Rigorous Algorithm To Detect And Clean Inaccurate Adult Height Records Within EHR Systems
Muthalagu, A., Aufox, S. A., Peissig, P. L., Fuehrer, J. T., Tromp, G., Kho, A. N., Rasmussen‐Torvik, L. J., & Pacheco, J. A. (2014) · Applied Clinical Informatics · doi:10.4338/aci-2013-09-ra-0074 · Cited by 16
The Association Between Body Mass Index and Presenting Symptoms in African American Women with Ovarian Cancer
Erondu, C., Alberg, A. J., Bandera, E. V., Barnholtz‐Sloan, J. S., Bondy, M. L., Coté, M. L., Funkhouser, E. M., Peters, E. S., Schwartz, A. G., Terry, P., et al. (2016) · Journal of Women s Health · doi:10.1089/jwh.2015.5359 · Cited by 16
Low-income women's conceptualizations of emotional- and stress-eating
Hayman, L. W., Lee, H. J., Miller, A. L., & Lumeng, J. C. (2014) · Appetite · doi:10.1016/j.appet.2014.09.005 · Cited by 17
The role of comorbidity in the association of obesity with unemployment and disability
Strat, Y. L., Melchior, M., Gorwood, P. A. P. M., Tebeka, S., & Dubertret, C. (2020) · Annals of Epidemiology · doi:10.1016/j.annepidem.2020.03.004 · Cited by 18
Unfavorable social determinants of health and risk of mortality in adults with diabetes: findings from the National Health Interview Survey
Chang, R. P., Philip, J. S., Javed, U., Titus, A., Gardezi, S. K., Kundi, H., Yousefzai, R., Hyder, A. A., Mossialos, E. A., Nasir, K., et al. (2024) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2023-003710 · Cited by 16
The WATCH (Weight Activity and Time Contributes to Health) paradigm and quality of life: the impact of overweight/obesity duration on the association between physical activity and health-related quality of life
Dankel, S. J., Loenneke, J. P., & Loprinzi, P. D. (2016) · International Journal of Clinical Practice · doi:10.1111/ijcp.12797 · Cited by 15
Body composition measurements and risk of hematological malignancies: A population-based cohort study during 20 years of follow-up
Hagström, H., Andréasson, A., Carlsson, A. C., Jerkeman, M., & Carlsten, M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0202651 · Cited by 16
Associations of socio-demographic factors with adiposity among immigrants in Norway: a secondary data analysis
Qureshi, S. A., Straiton, M., & Gele, A. A. (2020) · BMC Public Health · doi:10.1186/s12889-020-08918-9 · Cited by 15
Speed of eating and 3-year BMI change: a nationwide prospective study of mid-age women
Leong, S. L., Gray, A. R., & Horwath, C. C. (2015) · Public Health Nutrition · doi:10.1017/s1368980015001548 · Cited by 15
Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight
Cui, Z., Stevens, J., Truesdale, K. P., Zeng, D., French, S. A., & Gordon‐Larsen, P. (2016) · PLoS ONE · doi:10.1371/journal.pone.0167288 · Cited by 15
Psycho-social factors related to obesity and their associations with socioeconomic characteristics: the RECORD study
Fuentes, S., Brondeel, R., Franco, M., Sureda, X., Traissac, P., Cleary, L. K., & Chaix, B. (2019) · Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity · doi:10.1007/s40519-018-00638-9 · Cited by 15
A longitudinal study investigating change in BMI z-score in primary school-aged children and the association of child BMI z-score with parent BMI
Mears, R., Salway, R., Sharp, D., Hamilton-Shield, J. P., & Jago, R. (2020) · BMC Public Health · doi:10.1186/s12889-020-10001-2 · Cited by 15
Weight, Weight Perceptions, and Health and Well-Being Among Canadian Adolescents: Evidence From the 2017-2018 Canadian Community Health Survey
Chai, L., & Xue, J. (2021) · American Journal of Health Promotion · doi:10.1177/08901171211031064 · Cited by 15
Assessing nutritional status in the elderly evaluation of Chumlea equations for weight.
Barceló, M., Torres, O. H., Mascaró, J., Francia, E., Cardona, D., & Ruiz, D. (2013) · PubMed · doi:10.3305/nh.2013.28.2.6320 · Cited by 14

Authors: Stommel, M., & Schoenborn, C. A.
Affiliations: Michigan State University (US)
National Center for Health Statistics (US)
Corresponding author: Stommel, Manfred
ORCID: Stommel, Manfred
Venue: BMC Public Health
Publisher: Springer Science and Business Media LLC
Published: 2009-11-19
Volume: 9
Issue: 1
Pages: 421-421
ISSN: 1471-2458 (ISSN-L)
DOI: 10.1186/1471-2458-9-421
PMC: PMC2784464
OpenAlex: W2101246830
Cited by: 599
References: 25
Citations by year: 2026: 13 · 2025: 23 · 2024: 48 · 2023: 32 · 2022: 32 · 2021: 27 · 2020: 43 · 2019: 40 · 2018: 46 · 2017: 38 · 2016: 51 · 2015: 33 · 2014: 55 · 2013: 38 · 2012: 46
FWCI: 26.76
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/2.0 (tdm)
Locations: BMC Public Health (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders: Centers for Disease Control and Prevention
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
Keywords: body mass index, self-reported height and weight, measurement error, obesity, overweight, sociodemographic predictors, health risk prediction, NHANES, NHIS
MeSH terms: Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Body Height, Body Weight, Female, Health Surveys, Humans, Male, Middle Aged, Nutrition Surveys, Obesity, Sex Factors, Socioeconomic Factors, United States, Reproducibility of Results, Body Mass Index, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Accuracy and usefulness of BMI measures based on self-reported weight and height: findings from the NHANES & NHIS 2001-2006

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks