Evidence map›Paper›PMID 30080981›Full record

ArticleHealth communication2019

Neighborhoods and Perceived Norms: Understanding the Impact of Neighborhoods on Perceived Norms and Cancer Screening.

Nan Zhao Martin, Sheila T Murphy, Sandra Ball-Rokeach, Lauren B Frank, Meghan B Moran

Abstract readVideo-Audio Media
In one paragraph

Article in Health communication, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Nan Zhao MartinDepartment of Public Health, California State University Los Angeles.
Sheila T MurphyAnnenberg School for Communication and Journalism, University of Southern California.
Sandra Ball-RokeachAnnenberg School for Communication and Journalism, University of Southern California.
Lauren B FrankDepartment of Communication, Portland State University.
Meghan B MoranDepartment of Health, Behavior & Society, Johns Hopkins University Bloomberg School of Public Health.

Funding

Barriers to Cervical Cancer Prevention in Hispanic Women: A Multilevel ApproachR01CA155326 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BALL-ROKEACH, SANDRA, MURPHY, SHEILA T. · 2011 to 2014
$2.4M
NCI NIH HHS R01 CA155326
6 · The paper itself

Abstract

This study examines the importance of urban ethnic neighborhoods as the context of everyday life, where normative influences on health are formed, modified, and maintained. Built on communication infrastructure theory, this study investigates the role of women's connections to their neighborhood storytelling network-consisting of residents, local/ethnic media, and community organizations-in shaping their descriptive normative perceptions regarding cervical cancer screening. Specifically, we explore the communication mechanisms that underlie Latinas' exposure and attention to media information about Pap tests, their discussions with health-care professionals about Pap tests, their perceptions about how normative Pap tests are among "women like them", and their compliance with cervical cancer screening guidelines. Our findings suggest that neighborhood storytelling resources hold promise for health communication research to understand not only the uptake of Pap tests but also health disparities in other domains that affect diverse populations and communities.

Indexed as

Residence CharacteristicsAdultEarly Detection of CancerFemaleHispanic or LatinoHumansLos AngelesMiddle AgedPapanicolaou TestSocial Determinants of HealthSurveys and QuestionnairesUterine Cervical Neoplasms

Identifiers

PMID30080981
PMCPMC12767290

What OpenQuestion holds

Textmetadata
LicenceTDM
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.