Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 182

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Predicting the intention to quit smoking and quitting behaviour: Extending the theory of planned behaviour

Rise, J., Kovac, V., Kraft, P., Moan, I. S.·2008·British Journal of Health Psychology

Abstract

Objectives. The present study examined the ability of the TPB to predict the intention to quit smoking and quitting behaviour. In addition, the predictive power of future orientation, number of cigarettes smoked, planning, past behaviour and the interactions between intention and other predictors was examined. Material and methods. The data were derived from a longitudinal survey among 103 daily smoking students at the University of Oslo (mean age 24.6 years, mean number of years of smoking = 8 years). These data were collected by means of self‐administered questionnaires at T1 (October 2003) and at T2 (February 2004) in terms of recording actual quitting. Results. The TPB components accounted for 30% of the variance in quitting intentions, and affective attitude and descriptive norm emerged as the strongest predictors of quitting intention. Ordinal regression analysis showed that intention was a borderline significant predictor of subsequent quitting behaviour, while the impact of PBC was non‐significant (model 1). The inclusion of the additional variables improved the fit of the model, with number of cigarettes and planning appearing as significant predictors of behaviour (model 2). As predicted, there was a significant interaction between perceived control and intentions on quitting (model 3). Nagelkerke R 2 increased from .07 in model 1 to .54 in model 2, and finally to .58 in model 3. Conclusions. The results indicate that affective attitude and descriptive norm play a more crucial role than the other TPB predictors in motivating smokers to quit. The results also indicate that self‐regulatory strategies are important in relation to addictive behaviours.

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 · 10.1348/135910707x187245

Cites

18 of 18 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 18 references

Cited by

See all 182

Metadata

Authors
Rise, J., Kovac, V., Kraft, P., & Moan, I. S.
Venue
British Journal of Health Psychology
Publisher
Wiley
Published
2008-05
Volume
13
Issue
2
Pages
291-310
ISSN
  • 1359-107X (ISSN-L)
  • 2044-8287
OpenAlex
W2092702832
Cited by
182
References
18
FWCI
3.96
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: Predicting the intention to quit smoking and quitting behaviour: Extending the theory of planned behaviour. https://app.cochat.ai/papers/10.1348/135910707x187245
The paper
Rise, J., Kovac, V., Kraft, P., & Moan, I. S. (2008). Predicting the intention to quit smoking and quitting behaviour: Extending the theory of planned behaviour. British Journal of Health Psychology. https://doi.org/10.1348/135910707x187245

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.