Evidence map›Paper›PMID 39693296›Full record

ArticlePloS one2024

Cybercrime victimisation among older adults: A probability sample survey in England and Wales.

Benjamin Havers, Kartikeya Tripathi, Alexandra Burton, Sally McManus, Claudia Cooper

Abstract read
In one paragraph

Article in PloS one, 2024. 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. Trial
  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.

Benjamin HaversDawes Centre for Future Crime, Department of Security and Crime Science, Faculty of Engineering, University College London, London, United Kingdom.ORCID 0009-0004-2492-8142
Kartikeya TripathiDawes Centre for Future Crime, Department of Security and Crime Science, Faculty of Engineering, University College London, London, United Kingdom.
Alexandra BurtonDepartment of Behavioural Science and Health, University College London, London, United Kingdom.
Sally McManusViolence and Society Centre, City, University of London, London, United Kingdom.
Claudia CooperCentre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.ORCID 0000-0002-2777-7616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYounger people are more likely to report cybercrime than older people. As older people spend more time online, this may change. If similarly exposed, risk factors including social isolation and poor health could make older adults disproportionally susceptible. We aimed to explore whether cybercrime risks and their predictors vary between age groups.

methodsWe analysed responses from 35,069 participants aged 16+ in the 2019/20 Crime Survey for England and Wales (CSEW). We investigated, among people who have used the internet in the past year, risks of experiencing any cybercrime, repeat victimisation and associated financial loss across age groups.

resultsDespite being at lower risk of reporting any cybercrime in the past year, people aged 75+ were more likely to report financial loss resulting from cybercrime victimisation (OR 4.25, p = 0.037) and repeat cybercrime victimisation (OR 2.03, p = 0.074) than younger people. Men, those from Mixed or Black ethnic groups, more deprived areas, managerial professional groups, and with worse health were at greater cybercrime risk. DISCUSSION: While younger adults are more at risk from cybercrime, older adults disclosed more severe cases (repetitive victimisation and associated financial loss), perhaps due to lesser awareness of scams and reporting options. As most people experience declining health as they age, greater understanding of why poor health predicts cybercrime could inform prevention initiatives that would particularly benefit older age groups and mitigate risks of growing internet use among older adults. Health and social care professionals may be well positioned to support prevention.

Indexed as

Crime VictimsAdolescentAdultAgedAged, 80 and overAge FactorsEnglandFemaleHumansInternetMaleMiddle AgedRisk FactorsSurveys and QuestionnairesWalesYoung Adult

Identifiers

PMID39693296
PMCPMC11654966

What Socratic holds

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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 Socratic graph.