Our study extends previous studies that have evaluated the level of bias in self-reported height and weight and corresponding body mass index (BMI). Results are evaluated by age, sex, income, race/ethnicity, and BMI classifications.
Analyses are based on the National Health and Nutrition Examination Survey (NHANES) from 2001-2006. The sample was 8,208 men and 8,606 women aged 16 years or older.
On average, men overreport their height by 1.22 cm (0.48 in) and their weight by 0.30 kg (0.66 lbs), and women overreport their height by 0.68 cm (0.27 in) and underreport their weight by −1.39 kg (−3.06 lbs). Overreporting of height significantly increases with age after age 50 for men and after age 60 for women. Overreporting of weight in men is significant in the age groups 16 to 49 years and 70 years or older. Women significantly underreport their weight in each age group but more so in the age group 16 to 49 years, followed by 50 to 69 years, and then 70 years or older. Men are more likely than women to think their weight is about right if they are at a normal weight or are overweight or obese, but women are more likely to think their weight is about right if they are underweight.
Men and women significantly overreport their height, increasingly so at older ages. Men tend to overestimate their weight, but women underreport their weight, more so in younger ages. Corresponding BMI is underestimated, more so for women than for men at each age and increasingly so with older age for both sexes.
It is well established that excessive body weight is a risk factor for illness and death due to diabetes, stroke, coronary artery disease, hypertension, high cholesterol, and kidney and gallbladder disorders (
Previous studies have assessed the accuracy of self-reported height, weight, and corresponding BMI in adults (
In the United States, Rowland used NHANES II to show that self-reported height was greater than measured, increasingly so among participants aged 45 years or older (
Studies have investigated the correlation of bias associated with self-reported height, weight, and corresponding BMI with variables other than age. A study of NHANES III data showed that bias in self-reported weight was affected by race/ethnicity and education in addition to age and BMI (
Although these studies involving NHANES data identified the role of age, sex, weight, and race/ethnicity on bias in self-reported weight, all used data that were gathered before 1995. Bias in self-reported height and weight for people who are underweight or of normal weight according to age and sex deserves further attention. The level of reporting bias according to self-perceived weight has received little attention.
The purpose of this study is to confirm and extend previous studies that have evaluated the level of bias in self-reported height and weight by using cross-sectional NHANES data for 2001-2006. We assess the level of bias in self-reported height and weight and corresponding bias in BMI estimates. Because previous studies have shown the level of bias to be related to age, sex, race/ethnicity, and perception of one's weight (
We used data from participants aged 16 years or older from 3 cross-sectional NHANES surveys, covering 2001-2002, 2003-2004, and 2005-2006 (
NHANES is a survey of the National Center for Health Statistics that assesses the health and nutritional status of children and adults in the United States. The survey combines interviews and physical examinations from a sample of the US noninstitutionalized civilian population. The interview includes questions about demographics, socioeconomic status, diet, and health. The examination component of the survey includes medical, dental, and physiological measures (
Health interviews are conducted in participants' homes using computer-assisted personal interviewing systems, and health measurements are performed in specifically designed mobile centers that are conveniently located at survey locations throughout the country. One physician and several medical and health technicians make up the study team. Body measurements are taken on all participants, and laboratory tests are administered. Staff members are generally bilingual, speaking both English and Spanish. The information collected in the survey is kept strictly confidential. NHANES received approval through the National Center for Health Statistics Ethics Review Board (
NHANES is a complex sample survey. The sampling frame for this design includes all counties in the United States. Clusters of households are selected, and each person in a household is screened for demographic characteristics. Then, 1 or more members of each household are selected for the sample. NHANES is designed to assist and encourage participation. For example, transportation is provided to the mobile centers, compensation is given, and a report of medical findings is provided to each participant. For the 3 NHANES data sets used in our study (2001-2002, 2003-2004, and 2005-2006), the interview response rates were 84%, 79%, and 80%, and the examination response rates were 80%, 76%, and 77%, respectively (
Several body measurements were taken during the physical examination, including standing height (cm) and weight (kg), which were considered in this study. From these measurements BMI was determined. Demographic information considered was age, sex, annual household income, and race/ethnicity. Self-reported height and weight, and whether participants considered their weight to be about right, overweight, or underweight was obtained from the weight history module of the questionnaire.
Age in years was categorized as 16 to 29, 30 to 39, 40 to 49, 50 to 59, 60 to 69, 70 to 79, and 80 years or older; race/ethnicity was categorized as Hispanic, white non-Hispanic, black non-Hispanic, and other; and annual household income was categorized as less than $20,000; $20,000 to $34,999; $35,000 to $54,999; $55,000 to $74,999; and $75,000 or more. BMI (kg/m2) was categorized to determine weight status: underweight (<18.5), normal (18.5-24.9), overweight (25.0-29.9), and obese (≥30.0).
Sample weights, stratification, and clustering of the design were incorporated into the analyses to obtain unbiased national estimates and standard errors of estimates. Multiple regression analyses were used to simultaneously assess the effects of age, race/ethnicity, annual household income, and weight classification on reporting bias. All analyses were performed using the SAS/Stat 9.1 (SAS Institute Inc, Cary, North Carolina).
Self-reported and measured height, weight, and BMI for 16,814 participants (
On average, men overreported their height by 1.22 cm (0.48 in) and their weight by 0.30 kg (0.66 lbs), and women overreported their height by 0.68 cm (0.27 in) and underreported their weight by −1.39 kg (−3.06 lbs) (
On average, both men and women significantly overreported their actual height, men more so than women (
Self-reporting bias in weight significantly differs between men and women. Although men significantly overreport their weight in the age groups 16 to 39 years and 70 years or older, women significantly underreport their weight in the age range 16 to 79 years. Only white and black non-Hispanic men significantly overreport their weight, whereas all racial/ethnic groups for women significantly underreport their weight. Men in the income bracket $20,000 to $34,999 significantly overreport their weight, but women across all income categories significantly underreport their weight. Men in each BMI category significantly overreport their weight, with the exception of obese men, who significantly underreport their weight. Conversely, women who are normal weight, overweight, or obese significantly underreport their weight, increasingly so as BMI increases.
Self-reported height bias was significantly associated with age, sex, income, and BMI weight classification, but not with race/ethnicity. No significant interactions were found among these variables. Self-reported weight bias was also significantly associated with age, sex, income, and BMI weight classification, but not with race/ethnicity. Significant interactions were observed between age and sex (
Approximately 39% (44% men and 34% women) thought their weight was about right, approximately 5% (7% men and 3% women) thought they were underweight, and 56% (48% men and 63% women) thought they were overweight. The difference in responses between men and women was significant (
Participants Who Perceived Their Weight as About Right, By Sex and BMI Classification, National Health and Nutrition Examination Survey, 2001-2006.
| Underweight (<18.5) | 32.0 (24.7-39.4) | 57.7 (50.3-65.1) |
| Normal weight (18.5-24.9) | 76.2 (74.0-78.4) | 65.5 (63.2-67.7) |
| Overweight (25.0-29.9) | 46.8 (44.1-49.5) | 24.4 (22.3-26.5) |
| Obese (≥30.0) | 12.0 (10.1-13.8) | 4.9 (3.9-5.9) |
This article has described the level of bias in self-reported height, weight, and corresponding BMI. Men tended to overreport their height and weight, whereas women tended to overreport their height but underreport their weight. Consequently, BMI of both men and women is significantly underestimated. Had self-reported height and weight been obtained over the telephone rather than face-to-face, the bias would likely be more pronounced (
Lower self-reported height than measured height increased with age for both men and women, which has been observed previously (
Elgar and Stewart found that both men and women underreported their weight, women more so across the age span. In contrast, our data show that men aged 16 to 39 years and aged 70 years or older significantly overreported their weight, but women significantly underreported their weight in each age group. Men in our study only significantly underreported their weight if they were obese. The underreporting of weight among women, but generally not among men, is consistent with women being less satisfied with their weight. McAdams et al found that self-reported weight for white non-Hispanic men was not significantly biased although self-reported weight of black and Hispanic men was (
In this study, women underreported their weight similarly across all income groups. In contrast, men overreported weight in the lower income groups but not in the higher. Although it has not been previously considered, overreporting of height was associated with income in this study, with the level of overreporting of height decreasing as income increases. Using data from NHANES III, Villanueva similarly showed that men were more likely to overestimate their weight in lower income categories (
No previous study has focused on trends in overreporting height according to BMI classification. This study shows that overreporting bias in height increases significantly with weight classification. Conversely, studies have observed that a person's actual weight influences their self-reported weight; underreporting bias in self-reported weight increases with higher weight (
Kuchler and Variyam analyzed NHANES III data to describe the percentage of men and women who perceived their weight as about right, according to weight status; however, they did not distinguish the amount of those who were underweight (
Men are more likely than women to overreport their weight if they are actually underweight, whereas women are more likely than men to underreport their weight if they are overweight or obese. This finding is consistent with previous research (
NHANES is a comprehensive national survey with high response rates and minimal missing data. Data are representative of a sample of the United States population, so results are generalizable. Oversampling of ethnic minorities also ensures that adequate numbers of minorities are available for analyses. Nevertheless, NHANES data are limited because the survey design is cross-sectional, so causal inferences cannot be made and confounding may be an issue. In addition, NHANES does not include institutionalized people, such as those in long-term care facilities who are not as healthy as or who are more likely to have functional limitations than the general population.
BMI is underestimated for both men and women for different reasons. On average, men significantly overreport their height and weight, and women significantly overreport their height and underreport their weight. Men are more likely than women to think their weight is about right if they are normal weight, overweight, or obese, but women are more likely to think their weight is about right if they are underweight. Assessment of reporting bias of height, weight, and corresponding BMI according to age, sex, income, and BMI classification indicates those categories where bias is high, low, or not present. Furthermore, BMI based on self-reported height and weight is underestimated for both men and women, increasingly so with older age and weight. Such information may be particularly useful to researchers as they evaluate the effects of BMI based on self-reported height and weight on disease outcomes according to selected subgroups.
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Mean Difference Between Self-Reported and Measured Height, Weight, and Body Mass Index, by Sex, National Health and Nutrition Examination Survey, 2001-2006
| Characteristic | Self-Reported | Measured | Mean Difference (95% CI) |
|---|---|---|---|
| Standing height, cm | 177.67 | 176.45 | 1.22 (1.15, 1.28) |
| Weight, kg | 87.55 | 87.25 | 0.30 (0.20, 0.40) |
| Body mass index (kg/m2) | 27.62 | 27.96 | −0.34 (−0.38, −0.30) |
| Standing height, cm | 162.99 | 162.31 | 0.68 (0.62, 0.74) |
| Weight, kg | 72.46 | 73.85 | −1.39 (−1.48, −1.30) |
| Body mass index (kg/m2) | 27.20 | 28.02 | −0.82 (−0.85, −0.77) |
Abbreviation: CI, confidence interval.
Data source: NHANES, 2001-2006. Estimates were weighted to produce unbiased national estimates.
Mean Difference Between Self-Reported and Measured Height, Weight, and BMI in Men and Women, by Selected Characteristics
| Characteristic | No. of Participants | Height, cm, Mean 95% CI | Weight, kg, Mean (95% CI) | BMI, kg/m2, Mean (95% CI) |
|---|---|---|---|---|
| 16-29 | 2800 | |||
| 30-39 | 1076 | |||
| 40-49 | 1193 | 0.21 (−0.12, 0.53) | ||
| 50-59 | 912 | 0.07 (−0.19, 0.33) | ||
| 60-69 | 964 | 0.24 (−0.03, 0.51) | ||
| 70-79 | 788 | |||
| ≥80 | 475 | |||
| Hispanic | 2011 | 0.10 (−0.19, 0.38) | ||
| White, non-Hispanic | 3942 | |||
| Black, non-Hispanic | 1953 | |||
| Other | 302 | −0.16 (−0.75, 0.43) | ||
| <20,000 | 1650 | 0.75 (0.34, 1.15) | ||
| 20,000-34,999 | 1761 | |||
| 35,000-54,999 | 1635 | 0.26 (−0.01, 0.53) | ||
| 55,000-74,999 | 946 | 0.08 (−0.26, 0.43) | ||
| ≥75,000 | 1737 | 0.05 (−0.21, 0.31) | ||
| Underweight (<18.5) | 273 | |||
| Normal (18.5-24.9) | 2695 | |||
| Overweight (25.0-29.9) | 3055 | |||
| Obese (≥30.0) | 2185 | |||
| 16-29 | 3097 | |||
| 30-39 | 1260 | |||
| 40-49 | 1163 | 0.12 (−0.03, 0.30) | ||
| 50-59 | 885 | |||
| 60-69 | 994 | |||
| 70-79 | 653 | |||
| ≥80 | 554 | −0.13 (−0.44, 0.17) | ||
| Hispanic | 2099 | |||
| White, non-Hispanic | 4154 | |||
| Black, non-Hispanic | 1991 | |||
| Other | 362 | |||
| <20,000 | 2080 | |||
| 20,000-34,999 | 1765 | |||
| 35,000-54,999 | 1539 | |||
| 55,000-74,999 | 969 | |||
| ≥75,000 | 1715 | |||
| Underweight (<18.5) | 371 | |||
| Normal (18.5-24.9) | 2925 | |||
| Overweight (25.0-29.9) | 2459 | |||
| Obese (≥30.0) | 2851 | |||
Abbreviations: BMI, body mass index; CI, confidence interval.
Data source: NHANES, 2001-2006. Estimates were weighted to produce unbiased national estimates. Bolded items are significant (
Mean Difference Between Self-Reported and Measured Weight (kg), by Selected Variables
| Characteristic | Age 16-49 y, Mean (95% CI) | Age 50-69 y, Mean (95% CI) | Age ≥70 y, Mean (95% CI) |
|---|---|---|---|
| Male | 0.13 (−0.06, 0.33) | ||
| Female | |||
| <20,000 | −0.30 (−0.65, 0.04) | 0 (−0.30, 0.30) | |
| 20,000-34,999 | −0.21 (−0.61, 0.18) | ||
| 35,000-54,999 | 0.05 (−0.27, 0.36) | ||
| 55,000-74,999 | −0.38 (−0.78, 0.02) | ||
| ≥75,000 | −0.22 (−0.64, 0.20) | ||
| Not reported | 0.29 (−0.18, 0.76) | ||
| Underweight (<18.5) | |||
| Normal (18.5-24.9) | |||
| Overweight (25.0-29.9) | −0.04 (−0.21, 0.14) | ||
| Obese (≥30.0) | |||
Abbreviation: CI, confidence interval.
Data source: NHANES, 2001-2006. Estimates were weighted to produce unbiased national estimates. Bolded items are significant (