Evidence map›Paper›PMID 33012663›Full record

ArticleJournal of nutrition education and behavior2021

Managing Outliers in Adolescent Food Frequency Questionnaire Data.

Morgan S Lee, April Idalski Carcone, Linda Ko, Noel Kulik, Deborah A Ellis, Sylvie Naar

Abstract read
In one paragraph

Article in Journal of nutrition education and behavior, 2021. 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.

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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.

Morgan S LeeCommunicateHealth, Inc, Rockville, MD.
April Idalski CarconeDivision of Behavioral Sciences, Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI. Electronic address: acarcone@med.wayne.edu.
Linda KoDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA.
Noel KulikDivision of Kinesiology, Health and Sport Studies and the Center for Health and Community Impact, College of Education, Wayne State University, Detroit, MI.
Deborah A EllisDivision of Behavioral Sciences, Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI.
Sylvie NaarDepartment of Behavioral Sciences and Social Medicine, Florida State University, Tallahassee, FL.

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI PAUL M STEMMER · 1985 to 2026
$68.4M
Interventionist Procedures for Adherence to Weight Loss Recs in Black AdolescentsU01HL097889 · NHLBI · WAYNE STATE UNIVERSITY · PI JEN, KAI-LIN CATHERINE, NAAR, SYLVIE · 2009 to 2013
$5.5M
NCI NIH HHS P30 CA022453NHLBI NIH HHS U01 HL097889
6 · The paper itself

Abstract

objectiveThe goal of this study was to explore the impact of 5 decision rules for removing outliers from adolescent food frequency questionnaire (FFQ) data.

designThis secondary analysis used baseline and 3-month data from a weight loss intervention clinical trial.

participantsAfrican American adolescents (n = 181) were recruited from outpatient clinics and community health fairs. VARIABLES MEASURED: Data collected included self-reported FFQ and mediators of weight (food addiction, depressive symptoms, and relative reinforcing value of food), caregiver-reported executive functioning, and objectively measured weight status (percentage overweight). ANALYSIS: Descriptive statistics examined patterns in study variables at baseline and follow-up. Correlational analyses explored the relationships between FFQ data and key study variables at baseline and follow-up.

resultsCompared with not removing outliers, using decision rules reduced the number of cases and restricted the range of data. The magnitude of baseline FFQ-mediator relationships was attenuated under all decision rules but varied (increasing, decreasing, and reversing direction) at follow-up. Decision rule use increased the magnitude of change in FFQ estimated energy intake and significantly strengthened its relationship with weight change under 2 fixed range decision rules. CONCLUSIONS AND IMPLICATIONS: Results suggest careful evaluation of outliers and testing and reporting the effects of different outlier decision rules through sensitivity analyses.

Indexed as

DietEnergy IntakeMotivationAdolescentDiet RecordsDiet SurveysFemaleHumansMaleReproducibility of ResultsSurveys and Questionnairesadolescentenergy intakefood frequency questionnaireoutlier

Identifiers

PMID33012663
PMCPMC7855646

What OpenQuestion holds

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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.