Evidence map›Paper›PMID 31636918›Full record

ArticleDigital health

Exploring aspects of the cognitive behavioural model of physical hoarding in relation to digital hoarding behaviours.

Susan Thorpe, Alexander Bolster, Nick Neave

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Lots of Digital Files? How Digital Hoarding Is Related to the Academic Performance of University Students.International journal of environmental research and public health · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Artificial Intelligence and Precision Medicine: A Perspective.Advances in experimental medicine and biology · 2022
    Article
  9. 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

3 authors.

Susan ThorpeDepartment of Psychology, Newcastle University, Newcastle upon Tyne, UK.
Alexander BolsterDepartment of Psychology, Newcastle University, Newcastle upon Tyne, UK.
Nick NeaveHoarding Research Group, Northumbria University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0002-5380-4614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the hoarding of physical objects has been extensively explored, there is little research relating to the hoarding of digital materials. The research that has been conducted suggests that digital hoarding (DH) behaviours appear to have some similarities with physical hoarding (PH) behaviours, and can be just as psychologically distressing. This study uses the framework of the cognitive behavioural model of PH to explore DH behaviours, including possible similarities regarding emotional attachment to digital possessions, and possible links with Obsessive Compulsive Disorder (OCD) and indecisiveness. For the study, 282 participants completed an online survey which measured levels of digital and physical hoarding, compulsive acquisition, OCD, indecisiveness and mood. Strong emotional attachments to particular types of digital possessions were evident: this was especially true for photographs and videos. Significant positive relationships were found between all the variables measured. However, a regression analysis revealed that only OCD and PH scores were significant predictors of DH. DH thus appears to share some of the features of PH. Implications, limitations and future research possibilities are discussed.

Indexed as

anxietydepressiondigital hoardingHoarding disorderindecisivenessOCD

Identifiers

PMID31636918
PMCPMC6785915

What OpenQuestion holds

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LicenceCC BY-NC
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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.