Evidence map›Paper›PMID 31607420›Full record

ArticleAnnals of epidemiology2019

Errors in body mass index from self-reported data by sex and across waves of Add Health.

Carmen D Ng

Abstract read
In one paragraph

Article in Annals of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

1 author.

Carmen D NgHubert Department of Global Health, Emory University, Atlanta, GA. Electronic address: carmen.ng@emory.edu.

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
Dynamics and Health Consequences of Obesity between Infancy and Young Adulthood in the United StatesR01DK115937 · NIDDK · EMORY UNIVERSITY · PI ARGESEANU CUNNINGHAM, SOLVEIG · 2018 to 2021
$1.6M
NICHD NIH HHS P01 HD031921NIDDK NIH HHS R01 DK115937
6 · The paper itself

Abstract

purposeBody mass index (BMI) derived from self-reported height and weight is often used to study adiposity and its health implications. However, misestimates of BMI from self-reported data have been observed. This study adds to the literature by demonstrating how anthropometric misreporting patterns differed by sex and changed across time in a nationally representative cohort, as well as examining behavioral/psychological correlates of biases in BMI.

methodsMisreporting of height and weight (and thus BMI) from adolescence to adulthood in the United States was studied using the National Longitudinal Study of Adolescent to Adult Health (1996-2008). Behavioral/psychological characteristics possibly associated with errors in BMI were analyzed with fixed-effects models.

resultsDifferent patterns of anthropometric misreporting resulted in larger underestimation of BMI among females than males at the beginning waves, but females saw a reduction by the last wave. Males did not see such a decrease, and their error, at 0.75 BMI units by 2008, was comparable to that of females. For both sexes, body image perception was a significant predictor of biases in BMI.

conclusionsFrom adolescence to adulthood, anthropometric reporting patterns changed, and its variation differed by sex. Nevertheless, errors in BMI were similarly associated with behavioral/psychological characteristics.

Indexed as

Body Mass IndexHealth SurveysSelf ReportAdolescentAdultAnthropometryBody HeightBody WeightCross-Sectional StudiesFemaleHumansMaleObesityOverweightSex CharacteristicsSex FactorsAnthropometricsBody imageBody mass indexMisreportingSelf-report

Identifiers

PMID31607420
PMCPMC6904951

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.