Evidence map›Paper›PMID 24945166›Full record

ArticleSouthern medical journal2014

Self-reported versus actual weight and height data contribute to different weight misperception classifications.

William T Dalton, Liang Wang, Jodi L Southerland, Karen E Schetzina, Deborah L Slawson

Abstract readComparative Study
In one paragraph

Article in Southern medical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  19. Examining General Versus Condition-Specific Health-Related Quality of Life Across Weight Categories in an Adolescent Sample.Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners
    Review
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

5 authors.

William T DaltonFrom the Department of Psychology, College of Arts and Sciences, the Department of Biostatistics and Epidemiology and the Department of Community and Behavioral Health, College of Public Health, and the Department of Pediatrics, Quillen College of Medicine, East Tennessee State University, Johnson City.
Liang WangFrom the Department of Psychology, College of Arts and Sciences, the Department of Biostatistics and Epidemiology and the Department of Community and Behavioral Health, College of Public Health, and the Department of Pediatrics, Quillen College of Medicine, East Tennessee State University, Johnson City.
Jodi L SoutherlandFrom the Department of Psychology, College of Arts and Sciences, the Department of Biostatistics and Epidemiology and the Department of Community and Behavioral Health, College of Public Health, and the Department of Pediatrics, Quillen College of Medicine, East Tennessee State University, Johnson City.
Karen E SchetzinaFrom the Department of Psychology, College of Arts and Sciences, the Department of Biostatistics and Epidemiology and the Department of Community and Behavioral Health, College of Public Health, and the Department of Pediatrics, Quillen College of Medicine, East Tennessee State University, Johnson City.
Deborah L SlawsonFrom the Department of Psychology, College of Arts and Sciences, the Department of Biostatistics and Epidemiology and the Department of Community and Behavioral Health, College of Public Health, and the Department of Pediatrics, Quillen College of Medicine, East Tennessee State University, Johnson City.

Funding

College Students as Facilitators to Reduce Adolescent Obesity DisparityR01MD006200 · NIMHD · EAST TENNESSEE STATE UNIVERSITY · PI SLAWSON, DEBORAH L · 2011 to 2013
$973k
NIMHD NIH HHS R01 MD006200NIMHD NIH HHS R01MD006200
6 · The paper itself

Abstract

objectivesThe purpose of the study was to examine potential differences between two approaches to defining adolescent weight misperception. Specifically, weight status perception was compared with self-reported weight status and actual weight status (based on body mass index percentiles calculated from self-reported and actual weights and heights, respectively). Furthermore, the accuracy of assigning weight status based on body mass index percentiles calculated from self-reported weights and heights was assessed by comparing them with actual weight status.

methodsData were extracted from Team Up for Healthy Living, an 8-week, school-based obesity prevention program in southern Appalachia. Participants (N = 1509) were predominately white (93.4%) and ninth graders (89.5%), with approximately equivalent representation of both sexes (50.7% boys).

resultsThe study revealed significant differences between the approaches to defining weight misperception (χ(2) = 16.2; P = 0.0003).

conclusionsResearchers should interpret study findings with awareness of potential differences based on the method of calculating weight misperception.

Indexed as

Body HeightBody WeightSelf ReportAdolescentAppalachian RegionBody Mass IndexFemaleHumansMaleObesityOverweightSelf ConceptThinness

Identifiers

PMID24945166
PMCPMC4141645

What OpenQuestion holds

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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.