Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 702

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Relationship Between Media Consumption and Eating Disorders

Harrison, Kristen, Cantor, Joanne·1997·Journal of Communication
DOI 10.1111/j.1460-2466.1997.tb02692.x
Open this paper in CoChat — free account

Abstract

This study examined the relationship between college women's media use and two sets of variables (disordered-eating symptomatology and a set of related variables, including body dissatisfaction and drive for thinness) and assessed the relationship between college men's media use and their endorsement of thinness for themselves and for women. We expected to find consumption of thinness-depicting and thinness-promoting TDP) media related to disordered eating and thinness endorsement, with the social learning process of modeling accounting for the relationships. For women, media use predicted disordered-eating symptomatology, drive for thinness, body dissatisfaction, and ineffectiveness. For men, media use predicted endorsement of personal thinness and dieting and select attitudes in favor of thinness and dieting for women. Magazine reading was a more consistent predictor than television viewing. Several relationships remained significant when interest in fitness and dieting as media topics was partialled out of the analyses. Exposure to TDP media appears to be associated with a subsequent increase in eating disorder symptomatology. Selective exposure to these media based on initial interest in fitness and dieting as media topics is not a viable alternative explanation for this association.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1460-2466.1997.tb02692.x

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

Metadata

Authors
Harrison, K., & Cantor, J.
Venue
Journal of Communication
Publisher
Oxford University Press (OUP)
Published
1997-03-01
Volume
47
Issue
1
Pages
40-67
ISSN
  • 0021-9916 (ISSN-L)
  • 1460-2466
DOI
10.1111/j.1460-2466.1997.tb02692.x
OpenAlex
W2170737228
Cited by
702
References
1
FWCI
14.70
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.