Evidence map›Paper›PMID 25057397›Full record

ArticleJRSM open2014

Comparison of bias resulting from two methods of self-reporting height and weight: a validation study.

Melissa Scribani, Jessica Shelton, David Chapel, Nicole Krupa, Lynae Wyckoff, Paul Jenkins

Abstract read
In one paragraph

Article in JRSM open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. A Comparison of Common Health Indicators From Two Surveys of Latinos in the Bronx, New York.Hispanic health care international : the official journal of the National Association of Hispanic Nurses · 2020
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  19. Physical inactivity and television-viewing time among Aboriginal adults with asthma: a cross-sectional analysis of the Aboriginal Peoples Survey.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2015
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Melissa ScribaniBassett Healthcare Network Research Institute, One Atwell Road, Cooperstown, NY 13326, USA.
Jessica SheltonBassett Healthcare Network Research Institute, One Atwell Road, Cooperstown, NY 13326, USA.
David ChapelBassett Healthcare Network Research Institute, One Atwell Road, Cooperstown, NY 13326, USA.
Nicole KrupaBassett Healthcare Network Research Institute, One Atwell Road, Cooperstown, NY 13326, USA.
Lynae WyckoffBassett Healthcare Network Research Institute, One Atwell Road, Cooperstown, NY 13326, USA.
Paul JenkinsBassett Healthcare Network Research Institute, One Atwell Road, Cooperstown, NY 13326, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo contrast the validity of two modes of self-reported height and weight data.

designSubjects' self-reported height and weight by mailed survey without expectation of subsequent measurement. Subjects were later offered a physical exam, where they self-reported their height and weight again, just prior to measurement. Regression equations to predict actual from self-reported body mass index (BMI) were fitted for both sets of self-reported values. Residual analyses assessed bias resulting from application of each regression equation to the alternative mode of self-report. Analyses were stratified by gender.

settingUpstate New York.

participantsSubjects (n = 260) with survey, pre-exam and measured BMI.

main outcome measuresPrevalence of obesity based on two modes of self-report and also measured values. Bias resulting from misapplication of correction equations.

resultsAccurate prediction of measured BMI was possible for both self-report modes for men (R (2 )= 0.89 survey, 0.85 pre-exam) and women (R (2 )= 0.92 survey, 0.97 pre-exam). Underreporting of BMI was greater for survey than pre-exam but only significantly so in women. Obesity prevalence was significantly underestimated by 10.9% (p < 0.001) and 14.9% (p < 0.001) for men and 5.4% (p = 0.007) and 11.2% (p < 0.001) for women, for pre-exam and survey, respectively. Residual analyses showed that significant bias results when a regression model derived from one mode of self-report is used to correct BMI values estimated from the alternative mode.

conclusionsBoth modes significantly underestimated obesity prevalence. Underestimation of actual BMI is greater for survey than pre-exam self-report for both genders, indicating that equations adjusting for self-report bias must be matched to the self-report mode.

Indexed as

epidemiologyobesitypublic healthresearch methods

Identifiers

PMID25057397
PMCPMC4100222

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.