Evidence map›Paper›PMID 20029707›Full record

ArticleJournal of health communication2009

Validating measures of scanned information exposure in the context of cancer prevention and screening behaviors.

Bridget J Kelly, Jeff Niederdeppe, Robert C Hornik

Abstract read
In one paragraph

Article in Journal of health communication, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Bridget J KellyRTI International, Washington, DC, USA.
Jeff Niederdeppe
Robert C Hornik

Funding

Effects of Public Information in Cancer (EPIC Center)P50CA095856 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HORNIK, ROBERT C. · 2003 to 2007
$10.1M
NCI NIH HHS 5P50CA095856NCI NIH HHS P50 CA095856
6 · The paper itself

Abstract

Individuals may obtain health information, particularly from the mass media, without engaging in purposeful information searches (called scanning). This study used the Seeking and Scanning Behavior Survey of the General Population (SSBG), a nationally representative survey of adults aged 40-70 years (n = 2,489), to validate measures of scanned information exposure about cancer prevention and screening behaviors. Scanned exposure measures concerning specific behaviors (exercise; fruit and vegetable consumption; dieting; and mammogram, prostate-specific antigen (PSA) text, and colonoscopy screening) have good face validity and are convergent across behaviors (mean correlation across six preventive behaviors = 0.50, sd = 0.09). These measures can be discriminated from measures of general media exposure (mean r = 0.23, sd = 0.02) and seeking exposure for the same behaviors (mean r = 0.25, sd = 0.06). Scanned information exposure was associated with weekly volume of newspaper coverage for two of six behaviors, providing additional evidence of nomological validity. Scanned information exposure at the first round of measurement was associated with identical exposure 1 year later (mean r = .41, sd = .04). Scanned exposure measures also were significantly associated with five of the six preventive behaviors. These results provide evidence that scanned information exposure measures are valid indicators of the construct. Researchers might consider their use to capture scanned media influence on cognitions and behaviors.

Indexed as

AdultConsumer Health InformationFemaleHealth BehaviorHumansInformation DisseminationInternetMaleMass MediaMass ScreeningMiddle AgedNeoplasmsReproducibility of ResultsSocial Marketing

Identifiers

PMID20029707
PMCPMC2970510

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.