Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,541

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The illness perception questionnaire: A new method for assessing the cognitive representation of illness

Weinman, John, Petrie, Keith J., Moss-morris, Rona, Horne, Rob·1996·Psychology & Health

Abstract

The Illness Perception Questionnaire (IPQ) is a new method for assessing cognitive representations of illness. The IPQ is a theoretically derived measure comprising five scales that provides information about the five components that have been found to underlie the cognitive representation of illness. The five scales assess identity - the symptoms the patient associates with the illness, cause - personal ideas about aetiology, time-line - the perceived duration of the illness, consequences - expected effects and outcome and cure control - how one controls or recovers from the illness. The IPQ has a specific number of core items but allows the user to add items for particular patient groups or health threats. Data is presented supporting the reliability and validity of the IPQ scales in different chronic illness populations.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/08870449608400270

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 1,541

Metadata

Authors
Weinman, J., Petrie, K. J., Moss-morris, R., & Horne, R.
Venue
Psychology & Health
Published
1996-03
Volume
11
Issue
3
Pages
431-445
ISSN
  • 0887-0446 (ISSN-L)
  • 1476-8321
OpenAlex
W2169612163
Cited by
1,541
References
2
FWCI
74.99
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The illness perception questionnaire: A new method for assessing the cognitive representation of illness. https://app.cochat.ai/papers/10.1080/08870449608400270
The paper
Weinman, J., Petrie, K. J., Moss-morris, R., & Horne, R. (1996). The illness perception questionnaire: A new method for assessing the cognitive representation of illness. Psychology & Health. https://doi.org/10.1080/08870449608400270

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.