Evidence map›Paper›PMID 27846053›Full record

Observational studyMenopause (New York, N.Y.)2017

Inaccurate self-report of height and its impact on misclassification of body mass index in postmenopausal women.

Xiaodan Mai, Jill N Sperrazza, Britt A Marshall, Kathleen M Hovey, Jean Wactawski-Wende

Abstract readObservational Study
In one paragraph

Observational study in Menopause (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Xiaodan Mai1Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, Buffalo, NY 2Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 3Department of Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA.
Jill N Sperrazza
Britt A Marshall
Kathleen M Hovey
Jean Wactawski-Wende
Penn State Milton S. Hershey Medical Center · USUniversity at Buffalo, State University of New York · US

Funding

BONE MINERAL DENSITY AS A PREDICTOR OF PERIODONTITISR01DE013505 · NIDCR · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WACTAWSKI-WENDE, JEAN · 2002 to 2005
$1.9M
VANGUARD CENTER FOR WOMEN'S HEALTH INITIATIVEN01WH032122 · WH · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI TREVISAN, MAURIZIO · 1993 to 2000
$927k
NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNIDCR NIH HHS R01 DE013505WHI NIH HHS HHSN268201100001CWHI NIH HHS N01 WH032122
6 · The paper itself

Abstract

objectiveSelf-reported height is commonly used in population obesity research. Evidence has also shown a positive association between depression and obesity. We examined the extent of height misreporting and its impact on body mass index (BMI) calculations and classification, and explored whether depression is associated with height misreporting.

methodsThe Buffalo Osteoporosis and Periodontal Disease Follow-up Study enrolled 1,015 postmenopausal women between 2002 and 2006. Participants self-reported their height on a questionnaire before stadiometer measurement at the clinical visit. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale. Odds ratios and 95% CI for association between depression and height misreporting were estimated using logistic regression.

resultsOverall, 446 women (43.9%) misreported height by greater than 1/2 inch, of which 296 (29.2%) underestimated and 150 (14.8%) overestimated their height. Height misreporting influenced BMI calculations by ≥1 unit in 12% of women, and influenced classification into WHO BMI categories in 8% of women. After adjusting for age, race, education, and measured BMI, women with significant depressive symptoms were more likely to misreport their height (odds ratio = 1.65, 95% CI, 1.04-2.61).

conclusionsHeight misreporting was common in older women and significantly influenced BMI calculations and classification. Obtaining objective data is thus important for studies investigating obesity-disease associations in this population, especially in those with significant depressive symptoms.

Indexed as

Body HeightSelf ReportAgedBody Mass IndexDepressive DisorderFemaleHumansMiddle AgedNew YorkObesityPostmenopauseReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID27846053
PMCPMC5403696
OpenAlexW2550105018

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.