Comparisons of Self-Reported and Measured Height and Weight, BMI, and Obesity Prevalence from National Surveys: 1999-2016

Overview

Journal Obesity (Silver Spring)

Specialties Endocrinology
Nutritional Sciences
Physiology

Date 2019 Sep 24

PMID 31544344

Citations 55

Authors

Katherine M Flegal

Cynthia L Ogden

Cheryl Fryar

Joseph Afful

Richard Klein

David T Huang

Affiliations

Soon will be listed here.

Abstract

Objective: The aim of this study was to compare national estimates of self-reported and measured height and weight, BMI, and obesity prevalence among adults from US surveys.

Methods: Self-reported height and weight data came from the National Health and Nutrition Examination Survey (NHANES), the National Health Interview Survey, and the Behavioral Risk Factor Surveillance System for the years 1999 to 2016. Measured height and weight data were available from NHANES. BMI was calculated from height and weight; obesity was defined as BMI ≥ 30.

Results: In all three surveys, mean self-reported height was higher than mean measured height in NHANES for both men and women. Mean BMI from self-reported data was lower than mean BMI from measured data across all surveys. For women, mean self-reported weight, BMI, and obesity prevalence in the National Health Interview Survey and Behavioral Risk Factor Surveillance System were lower than self-report in NHANES. The distribution of BMI was narrower for self-reported than for measured data, leading to lower estimates of obesity prevalence.

Conclusions: Self-reported height, weight, BMI, and obesity prevalence were not identical across the three surveys, particularly for women. Patterns of misreporting of height and weight and their effects on BMI and obesity prevalence are complex.

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References

Zipf G, Chiappa M, Porter K, Ostchega Y, Lewis B, Dostal J . National health and nutrition examination survey: plan and operations, 1999-2010. Vital Health Stat 1. 2014; (56):1-37. View

Stommel M, Schoenborn C . Accuracy and usefulness of BMI measures based on self-reported weight and height: findings from the NHANES & NHIS 2001-2006. BMC Public Health. 2009; 9:421. PMC: 2784464. DOI: 10.1186/1471-2458-9-421. View

Maukonen M, Mannisto S, Tolonen H . A comparison of measured versus self-reported anthropometrics for assessing obesity in adults: a literature review. Scand J Public Health. 2018; 46(5):565-579. DOI: 10.1177/1403494818761971. View

Grabner M . BMI trends, socioeconomic status, and the choice of dataset. Obes Facts. 2012; 5(1):112-26. DOI: 10.1159/000337018. View

Scribani M, Shelton J, Chapel D, Krupa N, Wyckoff L, Jenkins P . Comparison of bias resulting from two methods of self-reporting height and weight: a validation study. JRSM Open. 2014; 5(6):2042533313514048. PMC: 4100222. DOI: 10.1177/2042533313514048. View

Merrill R, Richardson J . Validity of self-reported height, weight, and body mass index: findings from the National Health and Nutrition Examination Survey, 2001-2006. Prev Chronic Dis. 2009; 6(4):A121. PMC: 2774635. View

Chen T, Parker J, Clark J, Shin H, Rammon J, Burt V . National Health and Nutrition Examination Survey: Estimation Procedures, 2011-2014. Vital Health Stat 2. 2018; (177):1-26. View

Plankey M, Stevens J, Flegal K, Rust P . Prediction equations do not eliminate systematic error in self-reported body mass index. Obes Res. 1997; 5(4):308-14. DOI: 10.1002/j.1550-8528.1997.tb00556.x. View

Stommel M, Osier N . Temporal changes in bias of body mass index scores based on self-reported height and weight. Int J Obes (Lond). 2012; 37(3):461-7. PMC: 3595465. DOI: 10.1038/ijo.2012.67. View

10.

Villanueva E . The validity of self-reported weight in US adults: a population based cross-sectional study. BMC Public Health. 2001; 1:11. PMC: 59896. DOI: 10.1186/1471-2458-1-11. View

11.

Le A, Judd S, Allison D, Oza-Frank R, Affuso O, Safford M . The geographic distribution of obesity in the US and the potential regional differences in misreporting of obesity. Obesity (Silver Spring). 2013; 22(1):300-6. PMC: 3866220. DOI: 10.1002/oby.20451. View

12.

Black D, Taylor A, Coster D . Accuracy of self-reported body weight: Stepped Approach Model component assessment. Health Educ Res. 1998; 13(2):301-7. DOI: 10.1093/her/13.2.301. View

13.

Connor Gorber S, Tremblay M, Moher D, Gorber B . A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review. Obes Rev. 2007; 8(4):307-26. DOI: 10.1111/j.1467-789X.2007.00347.x. View

14.

Craig B, Adams A . Accuracy of body mass index categories based on self-reported height and weight among women in the United States. Matern Child Health J. 2008; 13(4):489-96. PMC: 2731685. DOI: 10.1007/s10995-008-0384-7. View

15.

Fahimi M, Link M, Mokdad A, Schwartz D, Levy P . Tracking chronic disease and risk behavior prevalence as survey participation declines: statistics from the behavioral risk factor surveillance system and other national surveys. Prev Chronic Dis. 2008; 5(3):A80. PMC: 2483564. View

16.

Gillum R, Sempos C . Ethnic variation in validity of classification of overweight and obesity using self-reported weight and height in American women and men: the Third National Health and Nutrition Examination Survey. Nutr J. 2005; 4:27. PMC: 1262765. DOI: 10.1186/1475-2891-4-27. View

17.

Chou S, Grossman M, Saffer H . An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System. J Health Econ. 2004; 23(3):565-87. DOI: 10.1016/j.jhealeco.2003.10.003. View

18.

Wen M, Kowaleski-Jones L . Sex and ethnic differences in validity of self-reported adult height, weight and body mass index. Ethn Dis. 2012; 22(1):72-8. PMC: 3590903. View

19.

Yu D, Zheng W, Johansson M, Lan Q, Park Y, White E . Overall and Central Obesity and Risk of Lung Cancer: A Pooled Analysis. J Natl Cancer Inst. 2018; 110(8):831-842. PMC: 6093439. DOI: 10.1093/jnci/djx286. View

20.

Rowland M . Self-reported weight and height. Am J Clin Nutr. 1990; 52(6):1125-33. DOI: 10.1093/ajcn/52.6.1125. View