Evidence map›Paper›PMID 24999304›Full record

ArticleHealth, risk & society2014

Examining intuitive risk perceptions for cancer in diverse populations.

Jennifer L Hay, Raymond Baser, Neil D Weinstein, Yuelin Li, Louis Primavera, M Margaret Kemeny

Abstract read
In one paragraph

Article in Health, risk & society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Effect of Superstitious Beliefs and Risk Intuitions on Genetic Test Decisions.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Using NCI-Designated Cancer Center Catchment-Area Data to Understand an Ignored but High-Need Constituent: People Uncertain or Avoidant about Their Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  9. Article
  10. Low Health Literacy and Health Information Avoidance but Not Satisficing Help Explain "Don't Know" Responses to Questions Assessing Perceived Risk.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
  11. Article
  12. Article
  13. Examining Intuitive Cancer Risk Perceptions in Haitian-Creole and Spanish-Speaking Populations.Journal of transcultural nursing : official journal of the Transcultural Nursing Society · 2016
    Article
  14. Article
  15. Article
  16. Latinx Immigrant Mothers' Perceived Self-Efficacy and Intentions Regarding Human Papillomavirus Vaccination of Their Daughters.Women's health issues : official publication of the Jacobs Institute of Women's Health
    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

6 authors.

Jennifer L HayMemorial Sloan-Kettering Cancer Center, New York, New York, USA.
Raymond BaserMemorial Sloan-Kettering Cancer Center, New York, New York, USA.
Neil D WeinsteinDepartment of Human Ecology, Rutgers University, New Jersey, USA.
Yuelin LiMemorial Sloan-Kettering Cancer Center, New York, New York, USA.
Louis PrimaveraTouro College, New York, New York, USA.
M Margaret KemenyMount Sinai Hospital, Long Island City, New York, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Elisa de Stanchina · 1985 to 2026
$347.4M
Perception of Gene-Environment Cancer Risks in MelanomaK07CA098106 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI HAY, JENNIFER L · 2003 to 2007
$672k
Cancer Risks Beliefs & ScreeningR21CA133376 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI HAY, JENNIFER L · 2009 to 2010
$457k
Measurement of Cancer Related Risk PerceptionsR03CA093182 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI HAY, JENNIFER L · 2001 to 2002
$163k
NCI NIH HHS K07 CA098106NCI NIH HHS P30 CA008748NCI NIH HHS R03 CA093182NCI NIH HHS R21 CA133376
6 · The paper itself

Abstract

In this article we examine intuitive dimensions of personal cancer risk likelihood, which theory and empirical evidence indicate may be important elements in the risk perception process. We draw on data from a study of risk perceptions in three social groups, university students, men living in the community, and primary care patients living in urban area. The study took place in 2007-2011, in New York State (Garden City and New York City) and Boston, Massachusetts. This study used items developed from categories identified in prior qualitative research specifying emotions and attitudes activated in cancer risk determination to examine perception of cancer risks. Across three samples - university students (N=568), community men (N=182), and diverse, urban primary care patients (N=127) - we conducted exploratory factor and construct analyses. We found that the most reliable two factors within the five-factor solution were Cognitive Causation, tapping beliefs that risk thoughts may encourage cancer development, and Negative Affect in Risk, assessing negative feelings generated during the risk perception process. For these factors, there were high levels of item endorsement, especially in minority groups, and only modest associations with established cancer risk perception and worry assessments, indicating novel content. These items may prove useful in measuring and comparing intuitive cancer risk perceptions across diverse population subgroups.

Indexed as

cancer risk perceptionsdecision-makingdiverse populationsintuitionmeasure developmentriskrisk perceptions

Identifiers

PMID24999304
PMCPMC4078890

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.