Evidence map›Paper›PMID 34972020›Full record

ArticleBody image2022

Demographic predictors of objectification theory and tripartite influence model constructs: The U.S. Body Project I.

David A Frederick, Eva Pila, Vanessa L Malcarne, Emilio J Compte, Jason M Nagata, Cassidy R Best, Catherine P Cook-Cottone, Tiffany A Brown, Lexie Convertino, Canice E Crerand and 8 more

Abstract read
In one paragraph

Article in Body image, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 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

18 authors.

David A FrederickCrean College of Health and Behavioral Sciences, Chapman University, Orange, CA, USA. Electronic address: dfrederi@chapman.edu.
Eva PilaSchool of Kinesiology, Western University, London, ON, Canada.
Vanessa L MalcarneDepartment of Psychology, San Diego State University, San Diego, CA, USA.
Emilio J CompteSchool of Psychology, Adolfo Ibáñez University, Santiago, Chile; Research Department, Comenzar de Nuevo Treatment Center, Monterrey, Mexico.
Jason M NagataDepartment of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
Cassidy R BestCrean College of Health and Behavioral Sciences, Chapman University, Orange, CA, USA.
Catherine P Cook-CottoneDepartment of Counseling, School, and Educational Psychology, University at Buffalo, State University of New York, Buffalo, NY, USA.
Tiffany A BrownDepartment of Psychiatry, University of California, San Diego, CA, USA.
Lexie ConvertinoSan Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
Canice E CrerandDepartment of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA; Center for Biobehavioral Health, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
Michael C ParentDepartment of Educational Psychology, University of Texas at Austin, Austin, TX, USA.
Jamie-Lee PennesiDepartment of Psychology, San Diego State University, San Diego, CA, USA.
Marisol PerezDepartment of Psychology, Arizona State University, Tempe, AZ, USA.
Rachel F RodgersAPPEAR, Department of Applied Psychology, Northeastern University, Boston, MA, USA; Department of Psychiatric Emergency & Acute Care, Lapeyronie Hospital, CHRU Montpellier, Montpellier, France.
Lauren M SchaeferSanford Center for Bio-behavioral Research, Fargo, ND, USA.
J Kevin ThompsonDepartment of Psychology, University of South Florida, FL, USA.
Tracy L TylkaDepartment of Psychology, The Ohio State University, Columbus, OH, USA.
Stuart B MurrayDepartment of Psychiatry & Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

Funding

The Neurocognitive Reward Learning Mechanisms of Binge EatingP20GM134969 · NIGMS · SANFORD RESEARCH NORTH · PI DODD, DORIAN R · 2021 to 2025
$11.5M
CLINICAL SERVICES RESEARCH TRAINING PROGRAMT32MH018261 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kaja Zabrina LeWinn, Rachel L. Loewy · 1985 to 2026
$7.0M
Regional Postdoctoral Training Grant in Eating Disorders ResearchT32MH082761 · NIMH · UNIVERSITY OF MINNESOTA · PI CAROL B. PETERSON · 2009 to 2026
$6.2M
NIGMS NIH HHS P20 GM134969NIMH NIH HHS T32 MH018261NIMH NIH HHS T32 MH082761
6 · The paper itself

Abstract

We examined how demographic factors (gender, sexual orientation, racial group, age, body mass) were linked to measures of sociocultural appearance concerns derived from objectification theory and the tripartite influence model (McKinley & Hyde, 1996; Schaefer et al., 2015) among 11,620 adults. Men were less likely than women to report high body surveillance, thin-ideal internalization, appearance-related media pressures, and family pressures; did not differ in peer pressures; and reported greater muscle/athletic internalization. Both men and women expressed greater desire for their bodies to look "very lean" than to look "very thin". Compared to gay men, heterosexual men reported lower body surveillance, thin-ideal internalization, peer pressures, and media pressures. Black women reported lower thin-ideal internalization than White, Hispanic, and Asian women, whereas Asian women reported greater family pressures. Being younger and having higher BMIs were associated with greater sociocultural appearance concerns across most measures. The variation in prevalence of sociocultural appearance concerns across these demographic groups highlights the need for interventions.

Indexed as

Body ImageGender IdentityAdultDemographyFemaleHeterosexualityHumansMalePeer InfluenceBody imageGenderObjectification theorySexual orientationTripartite influence model

Identifiers

PMID34972020
PMCPMC9750803

What OpenQuestion holds

Textmetadata
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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.