CoChat
Sign Up
Cited by 171Obesity, Physical Activity, DietSurvey Methodology and NonresponseStatistical Methods in Epidemiology

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Trends in national and state-level obesity in the USA after correction for self-report bias: analysis of health surveys.

Ezzati, Majid, Martin, Hilarie, Skjold, Suzanne, Hoorn, Stephen Vander, Murray, Christopher J L·2006·Journal of the Royal Society of Medicine
DOI 10.1258/jrsm.99.5.250
Open this paper in CoChat — free account

Abstract

Objectives: To quantify population-level bias in self-reported weight and height as a function of age, sex, and the mode of self-report, and to estimate unbiased trends in national and state level obesity in the USA. Design: Statistical analysis of repeated cross-sectional health examination surveys (the National Health and Nutrition Examination Survey [NHANES]) and health surveys (the Behavioral Risk Factor Surveillance System [BRFSS]) in the USA. Setting: The 50 states of the USA and the District of Columbia. Results: In the USA, on average, women underreported their weight, but men did not. Young and middle-aged (565 years) adult men over-reported their height more than women of the same age. In older age groups, over-reporting of height was similar in men and women. Population-level bias in self-reported weight was larger in telephone interviews (BRFSS) than in-person interviews (NHANES). Except in older adults, height was over-reported more often in telephone interviews than in-person interviews. Using corrected weight and height in the year 2000, Mississippi (31%) and Texas (30%) had the highest prevalence of obesity for men; Texas (37%), Louisiana (37%), Mississippi (37%), District of Columbia (37%), Alabama (37%), and South Carolina (36%) for women. Conclusions: Population-level bias in self-reported weight and height is larger in telephone interviews than in-person interviews. Telephone interviews are a low-cost method for regular, nationally- and sub-nationally representative monitoring of obesity. It is possible to obtain corrected estimates of trends and geographical distributions of obesity from telephone interviews by using systematic analysis which measure weight and height from an independent sample of the same population.

Overview

Integrity signals

Registry

Crossref · 10.1177/014107680609900517

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

Show all 14 references

Research works printed but not linked: 6

  1. 10.1016/S0140-6736(02)11403-6 · DOI · Paper page
  2. National Center for Health Statistics., 1994, Vital Health Stat, 32, 1
  3. 10.1016/S0002-8223(01)00008-6 · DOI · Paper page
  4. 10.1002/9781118032619 · DOI
  5. Objectives and design of the Behavioral Risk Factor Surveillance System., 1998, Proceedings Of The Section On Survey Methods, American Statistical Association National Meeting, 1998, Dallas, Texas.
  6. Remington P.L., 1988, Public Health Rep, 103, 366

Cited by

Sorted by citations

Related

See all

Metadata

Authors
Ezzati, M., Martin, H., Skjold, S., Hoorn, S. V., & Murray, C. J. L.
Affiliations
  • Harvard University (US)
  • Initiative for Global Health, Harvard University, Cambridge, USA
  • Clinical Trials Research Unit, University of Auckland, New Zealand
  • Harvard School of Public Health, Boston
Corresponding author
Ezzati, Majid
ORCID
Ezzati, Majid
Venue
Journal of the Royal Society of Medicine
Publisher
SAGE Publications
Published
2006-05
Volume
99
Issue
5
Pages
250-257
ISSN
  • 0141-0768 (ISSN-L)
  • 1758-1095
DOI
10.1258/jrsm.99.5.250
OpenAlex
W4322694598
Cited by
170
References
14
Citations by year
2024: 1 · 2023: 1 · 2022: 1 · 2021: 4 · 2018: 2 · 2017: 4 · 2016: 17 · 2015: 16 · 2014: 21 · 2013: 15 · 2012: 19
FWCI
11.33
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations
Journal of the Royal Society of Medicine (publishedVersion)
Funders
  • Centers for Disease Control and Prevention
  • National Institute on Aging
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords
obesity prevalence, self-report bias, self-reported weight, self-reported height, measurement error correction, telephone interviews, face-to-face interviews, sex differences, age differences, obesity trends, NHANES, Behavioral Risk Factor Surveillance System, obesity surveillance

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