Evidence map›Paper›PMID 30034508›Full record

ArticleJournal of children and media2018

Understanding the unique role of media message processing in predicting adolescent sexual behavior intentions in the United States.

Tracy M Scull, Christina V Malik, Janis B Kupersmidt

Abstract read
In one paragraph

Article in Journal of children and media, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. A Six-Month Outcome Evaluation ofJournal of health communication · 2022
    Trial
  2. Trial
  3. Article
  4. Article
  5. Media Influence on Intergenerational Attitudes toward Non-Conventional Sexual Behaviors in Contemporary China: Evidence from Chinese General Social Survey.International journal of sexual health : official journal of the World Association for Sexual Health · 2024
    Article
  6. Article
  7. Article
  8. Article
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

3 authors.

Tracy M Scullinnovation Research & Training.
Christina V Malikinnovation Research & Training.
Janis B Kupersmidtinnovation Research & Training.

Funding

Middle School Media Literacy for Reproductive HealthR44HD061193 · NICHD · INNOVATION RESEARCH AND TRAINING, INC. · PI SCULL, TRACY MARIE · 2012 to 2013
$990k
Middle School Media Literacy for Reproductive HealthR43HD061193 · NICHD · INNOVATION RESEARCH AND TRAINING, INC. · PI SCULL, TRACY MARIE · 2009 to 2009
$142k
NICHD NIH HHS R43 HD061193NICHD NIH HHS R44 HD061193
6 · The paper itself

Abstract

This study investigated the role that media message processing variables stemming from the Message Interpretation Process (MIP) model play in adolescents' intentions to engage in sexual activity. Data collected from 873 adolescents in the United States were examined in an ordered logistic regression model containing demographic variables; attitudes; self-efficacy; parent and peer normative beliefs; and media message processing variables. The analyses revealed that media message processing variables have a unique influence on adolescent sexual intentions above and beyond the influence of all the other predictors. Specifically, higher levels of perceived realism of, perceived similarity to, and identification with media messages were related to higher levels of adolescent sexual intent. These findings support the relevance of logical processing of media messages for adolescent intentions for sexual activity and suggest that this may be a possible cognitive mechanism to address in media literacy education programs focusing on promoting healthy decision-making.

Indexed as

adolescentsmediamedia influencemessage interpretation processingsexual intentions

Identifiers

PMID30034508
PMCPMC6051720

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.