Evidence map›Paper›PMID 28158316›Full record

ArticlePloS one2017

Phishing suspiciousness in older and younger adults: The role of executive functioning.

Brandon E Gavett, Rui Zhao, Samantha E John, Cara A Bussell, Jennifer R Roberts, Chuan Yue

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Decomposing trust-related decision making: dimensionality and predictability of phishing susceptibility in an adult lifespan sample.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Is This Phishing? Older Age Is Associated With Greater Difficulty Discriminating Between Safe and Malicious Emails.The journals of gerontology. Series B, Psychological sciences and social sciences · 2021
    Article
  8. Article
  9. Review
  10. Article
  11. 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.

Brandon E GavettDepartment of Psychology, University of Colorado Colorado Springs, Colorado Springs, CO, United States of America.ORCID http://orcid.org/0000-0003-1938-1854
Rui ZhaoDivision of Computer Science, Colorado School of Mines, Golden, CO, United States of America.
Samantha E JohnAlzheimer's Disease Research Center, Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States of America.
Cara A BussellDepartment of Psychology, University of Colorado Colorado Springs, Colorado Springs, CO, United States of America.
Jennifer R RobertsDepartment of Psychology, University of Colorado Colorado Springs, Colorado Springs, CO, United States of America.
Chuan YueDivision of Computer Science, Colorado School of Mines, Golden, CO, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phishing is the spoofing of Internet websites or emails aimed at tricking users into entering sensitive information, with such goals as financial or identity theft. The current study sought to determine whether age is associated with increased susceptibility to phishing and whether tests of executive functioning can predict phishing susceptibility. A total of 193 cognitively intact participants, 91 younger adults and 102 older adults, were primarily recruited through a Psychology department undergraduate subject pool and a gerontology research registry, respectively. The Executive Functions Module from the Neuropsychological Assessment Battery and the Iowa Gambling Task were the primary cognitive predictors of reported phishing suspiciousness. Other predictors included age group (older vs. younger), sex, education, race, ethnicity, prior knowledge of phishing, prior susceptibility to phishing, and whether or not browsing behaviors were reportedly different in the laboratory setting versus at home. A logistic regression, which accounted for a 22.7% reduction in error variance compared to the null model and predicted phishing suspiciousness with 73.1% (95% CI [66.0, 80.3]) accuracy, revealed three statistically significant predictors: the main effect of education (b = 0.58, SE = 0.27) and the interactions of age group with prior awareness of phishing (b = 2.31, SE = 1.12) and performance on the Neuropsychological Assessment Battery Mazes test (b = 0.16, SE = 0.07). Whether or not older adults reported being suspicious of the phishing attacks used in this study was partially explained by educational history and prior phishing knowledge. This suggests that simple educational interventions may be effective in reducing phishing vulnerability. Although one test of executive functioning was found useful for identifying those at risk of phishing susceptibility, four tests were not found to be useful; these results speak to the need for more ecologically valid tools in clinical neuropsychology.

Indexed as

Computer SecurityInternetAdolescentAdultAgedAged, 80 and overExecutive FunctionFemaleHumansMaleMiddle AgedSoftwareSurveys and QuestionnairesYoung Adult

Identifiers

PMID28158316
PMCPMC5291531

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.