Reader TTS

ABSTRACT BACKGROUND: Obesity interventions are implemented at state or sub-state level in the United States (US), where only self-reported weight and height data for adults are available

from the Behavioral Risk Factor Surveillance System (BRFSS). The prevalence estimates of overweight and obesity generated from self-reported weight and height from BRFSS are known to

underestimate the true prevalence. However, whether this underestimation is consistent across different demographic groups has not been fully investigated. METHODS: In this study, we

compared the prevalence estimates of obesity (body mass index (BMI) ⩾30 kg/m2) and overweight (BMI ⩾25 kg/m2) in different demographic groups in the US from the National Health and Nutrition

Examination Survey (NHANES) and BRFSS during 1999–2000. We also compared the rank orders of the obesity and overweight prevalence across different demographic groups from the two data

sources. RESULTS: Compared to NHANES, BRFSS underestimated the overall prevalence of obesity and overweight by 9.5 and 5.7 percentage points, respectively. The underestimation differed

across different demographic groups: the underestimation of obesity and overweight prevalence was higher among women (13.1 and 12.2 percentage points, respectively) than among men (5.8 and

−0.6 percentage points, respectively). The variation of underestimation was higher among men. A clear inverse association between educational attainment and obesity prevalence among

non-Hispanic African American women was observed from BRFSS data. However, no such association was found from NHANES. While BRFSS can identify correctly the population with the highest

obesity and overweight burden, it did not accurately rank the obesity and overweight prevalence across different demographic groups. CONCLUSION: Compared to NHANES, BRFSS disproportionately

underestimates the prevalence of obesity and overweight across different gender, race, age, and education subgroups. Access through your institution Buy or subscribe This is a preview of

subscription content, access via your institution ACCESS OPTIONS Access through your institution Subscribe to this journal Receive 12 print issues and online access $259.00 per year only

$21.58 per issue Learn more Buy this article * Purchase on SpringerLink * Instant access to full article PDF Buy now Prices may be subject to local taxes which are calculated during checkout

ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support SIMILAR CONTENT BEING VIEWED BY OTHERS TIME TRENDS AND PROJECTED

OBESITY EPIDEMIC IN BRAZILIAN ADULTS BETWEEN 2006 AND 2030 Article Open access 26 July 2022 TRENDS AND SOCIAL DETERMINANTS OF THE OBESITY EPIDEMIC AMONG REPRODUCTIVE-AGE WOMEN IN TEN ASIAN

COUNTRIES Article Open access 29 September 2024 EVOLUTION OF THE PREVALENCE OF OBESITY IN THE ADULT POPULATION IN FRANCE, 2013–2016: THE CONSTANCES STUDY Article Open access 08 July 2021

REFERENCES * Flegal KM, Carrol MD, Ogden CL, Johnson CL . Prevalence and trends in obesity among US adults, 1999–2000. _JAMA_ 2002; 288: 1723–1727. Article  Google Scholar  * Scaglione R,

Argano C, Di Chiara T, Licata G . Obesity and cardiovascular risk: the new public health problem of worldwide proportions. _Expert Rev Cardiovasc Ther_ 2004; 2: 203–212. Article  Google

Scholar  * Reilly JJ, Methven E, McDowell ZC, Hacking B, Alexander D, Stewart L et al. Health consequences of obesity. _Arch Dis Child_ 2003; 88: 748–752. Article  CAS  Google Scholar  *

Finkelstein EA, Fiebelkorn IC, Wang G . National medical spending attributable to overweight and obesity: how much, and who's paying? _Health Aff (Millwood)_ 2003; SUPPL): W2219–W2226.

Google Scholar  * Jackson C, Hatulis DE, Fortmann SP . The Behavior Risk Factor Survey and the Standard Five-City Project Survey: a comparison of cardiovascular risk behavior estimates. _Am

J Public Health_ 1992; 82: 412–416. Article  CAS  Google Scholar  * Paccaud F, Wietlisbach V, Rickenbach M . Body mass index: comparing mean values and prevalence rates from telephone and

examination surveys. _Rev Epidemiol Sante Publ_ 2001; 49: 33–40. CAS  Google Scholar  * Bowlin SJ, Morrill BD, Nafziger AN, Jenkins PL, Lewis C, Pearson TA . Validity of cardiovascular

disease risk factors assessed by telephone survey: the Behavior Risk Factor Survey. _J Clin Epidemiol_ 1993; 46: 561–571. Article  CAS  Google Scholar  * Centers for Disease Control and

Prevention. _National Health and Nutrition Examination Survey_. Available at: http://www.cdc.gov/nchs/nhanes.htm. * Centers for Disease Control and Prevention. _Behavior Risk Factor

Surveillance System_. Available at: http://www.cdc.gov/brfss. * Casella G, Berger RL . _Statistical Inference_ 1st edn. Duxbury Press: California, 1990. Google Scholar  * US Census Bureau

and United State Census. 2000. Available at: http://www.census.gov/main/www/cen2000.html. * Kuczmarski MF, Kuczmarski RJ, Najjar M . Effects of age on validity of self-reported height,

weight, and body mass index: findings from the third national health and nutrition examination survey, 1998–1994. _J Am Diet Assoc_ 2001; 10: 28–34. Article  Google Scholar  * Nelson DE,

Powell-Griner E, Machell T, Kovar MG . A comparison of national estimates from the National Health Interview Survey and the Behavior Risk Factor Surveillance System. _Am J Public Health_

2003; 93: 1335–1341. Article  Google Scholar  * Centers for Disease Control and Prevention. _Nutrition and Physical Activity_. Available at:

http://www.cdc.gov/nccdphp/dnpa/obesity/trend/prev_reg.htm. * Centers for Disease Control and Prevention. _Technical Information and Data. Behavior Risk Factor Surveillance System_.

Available at: http://www.cdc.gov/brfss/technical_infodata/2000QualityReport.htm. * Rowland ML . Self-reported weight and height. _Am J Clin Nutr_ 1990; 52: 1125–1133. Article  CAS  Google

Scholar  * Plankey MW, Stevens J, Flegal KM et al. Prediction equations do not eliminate systematic error in self-reported body mass index. _Obes Res_ 1997; 5: 308–314. Article  CAS  Google

Scholar  * Mensa GA, Mokdad AH, Ford ES et al. State of disparities in cardiovascular health in the United States. _Circulation_ 2005; 111: 1233–1241. Article  Google Scholar  * Rocky

Mountain Poll. _25 Percent may Drop Hard Wire Phone Service and Rely on their Cell Phones_. Available at: http://www.brcpolls.com/02/RMP2002-I-17.PDF. Download references ACKNOWLEDGEMENTS

This document was supported by Grant/Cooperative Agreement Number U58/CCU722795-02 from the Centers for Disease Control and Prevention. Its contents are solely our responsibility and do not

necessarily represent the official views of the Centers for Disease Control and Prevention. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Missouri Department of Health and Senior Services,

Jefferson City, MO, USA S Yun & B-P Zhu * Department of Community Health and Prevention Research Center, School of Public Health, Saint Louis University, St Louis, USA W Black & R C

Brownson Authors * S Yun View author publications You can also search for this author inPubMed Google Scholar * B-P Zhu View author publications You can also search for this author inPubMed 

Google Scholar * W Black View author publications You can also search for this author inPubMed Google Scholar * R C Brownson View author publications You can also search for this author

inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to S Yun. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Yun, S., Zhu, BP., Black, W. _et

al._ A comparison of national estimates of obesity prevalence from the behavioral risk factor surveillance system and the national health and nutrition examination survey. _Int J Obes_ 30,

164–170 (2006). https://doi.org/10.1038/sj.ijo.0803125 Download citation * Received: 16 September 2004 * Revised: 09 July 2005 * Accepted: 31 August 2005 * Published: 11 October 2005 * Issue

Date: 01 January 2006 * DOI: https://doi.org/10.1038/sj.ijo.0803125 SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get shareable link Sorry,

a shareable link is not currently available for this article. Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative KEYWORDS * overweight * BRFSS * NHANES *

prevalence