Nonresponse Bias Analysis of Body Mass Index Data in the Eating and Health Module
by
Karen HamrickTechnical Bulletin No. (TB-1934) 36 pp, August 2012
What Is the Issue?
ERS collected data on Americans' time-use patterns and
food-related information in its Eatingand Health Module (EH
Module), a supplement to the American Time Use Survey (ATUS). TheEH
Module also included questions on height and weight so that
respondents' Body Mass Index(BMI-a measure of body fat based on
height and weight) could be calculated and analyzed with ATUS
time-use information. Though the EH Module had a high rate of
cooperation among respondents,just under 5 percent of respondents
did not report height and/or weight, and ERS could notcalculate
BMIs for these individuals. This raises concerns of bias in the
data due to the missingBMI observations. In this report, ERS
examines the BMI data to determine if the missing values hinder the
ability of researchers to use the data in future analyses. If
respondents who did not reportheight and/or weight differed
significantly in other observable characteristics from the rest of
thesurvey respondents, then time-use estimates may be higher or
lower than they would be if BMIs were available for all
respondents.
What Did the Study Find?
• Respondents who did not report height and/or weight had
disproportionately higher indicators of being reluctant or
uncooperative survey participants than other respondents. For
example, it took more phone calls over more weeks to obtain a
completed interview from these participants. This suggests that for
these respondents, the tendency to not report height and/or weight
had less to do with sensitivity to height and weight questions and
more to do with negative views toward participating in the
survey.
• The time-use profiles of the total population and of men with
missing BMIs closely resembled the profiles of respondents who were
normal weight (18.5 ≤ BMI < 25.0).
• The time-use profiles of women with missing BMIs closely
resembled the profiles of women who were overweight (25.0 ≤ BMI
< 30.0).
• These findings suggest that those who did not report height
and weight are unlikely to be at either end of the BMI
spectrum-underweight (BMI<18.5) or obese
(BMI>30.0)-mitigating any bias in the data.
Based on these findings, any bias in the EH Module height and
weight data stemming from nonresponse appears to be small and would
not affect future analyses of correlations between BMI and time
use.
How Was the Study Conducted?
This study used data from the Bureau of Labor Statistics
American Time Use Survey and the ERS Eating and Health Module for
2006-08. Researchers analyzed demographic characteristics, such as
gender and age, of respondents who did not provide weight or height
information. Data quality measures (e.g., completeness or
incompleteness of diary reports recording respondents' activities)
served as indicators of respondents' reluctance or
uncooperativeness toward participating in the ATUS. Multivariate
analysis was performed on respondents' demographic and survey
characteristics. A measure of dissimilarity was used to compare
time profiles across BMI groups to determine which BMI group most
resembled the respondents with missing BMIs in terms of activities
reported in the time diaries.