Evidence map›Paper›PMID 32953966›Full record

ArticleSSM - population health2020

How individual and neighborhood characteristics relate to health topic awareness and information seeking.

Amy Bleakley, Vicky Tam, Julia Orchinik, Karen Glanz

Abstract read
In one paragraph

Article in SSM - population health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Amy BleakleyDepartment of Communication, University of Delaware, Newark, DE, USA.
Vicky TamData Science and Biostatistics Unit, Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Julia OrchinikPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Karen GlanzPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural determinants of health like neighborhood are often overlooked in the context of understanding public awareness of health topics and health information seeking behaviors. Seeking health information is particularly relevant given that some communities have higher prevalence of disease than others. Using the Structural Influence Model of Health Communication (SIMHC), this paper examines how both individual and neighborhood level characteristics contribute to health communication outcomes such as being aware of health topics like cancer, obesity, and HIV, and whether or not individual seeking health-related information or coming across information in the course of their general media use. Respondents to the Southeastern Pennsylvania Household Health Survey (SEPa HHS), a county-stratified random sample of adults ages 18-75 years old, who completed the survey in 2015, were recontacted for participation in 2017. Over one-thousand respondents (n=1,005) completed the survey, and the final sample size for this analysis was 887. Individual level correlates included demographic factors and relevant lifestyle behaviors (e.g., smoking); neighborhood level variables- determined by ZIP Code- included such socioeconomic status (SES) measures as percent unemployed, percent with a high school education, and percent living in poverty. Multilevel modeling was used to determine whether there were random effects on the health communication outcomes of interest. Analyses showed our outcomes of interest did not vary across neighborhoods, whether they were treated as random or fixed effects. Different characterizations of neighborhood (e.g., census block group) and different indicators of neighborhood media environments may be more likely to demonstrate macro level effects on health communication outcomes.

Indexed as

Cancer communicationHealth communicationHealth information seekingNeighborhoods

Identifiers

PMID32953966
PMCPMC7486453

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Registered trials

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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.