The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Demographic and attitudinal determinants of protective behaviours during a pandemic: A review
Open accessAbstract
Purpose . A new strain of H1N1 influenza, also known as swine flu was confirmed in the UK in May 2009 and has spread to over 100 countries around the world causing the World Health Organization to declare a global flu pandemic. The primary objectives of this review are to identify the key demographic and attitudinal determinants of three types of protective behaviour during a pandemic: preventive, avoidant, and management of illness behaviours, in order to describe conceptual frameworks in which to better understand these behaviours and to inform future communications and interventions in the current outbreak of swine flu and subsequent influenza pandemics. Methods . Web of Science and PubMed databases were searched for references to papers on severe acute respiratory syndrome, avian influenza/flu, H5N1, swine influenza/flu, H1N1, and pandemics. Forward searching of the identified references was also carried out. In addition, references were gleaned from an expert panel of the Behaviour and Communications sub‐group of the UK Scientific Pandemic Influenza Advisory Group. Papers were included if they reported associations between demographic factors, attitudes, and a behavioural measure (reported, intended, or actual behaviour). Results . Twenty‐six papers were identified that met the study inclusion criteria. The studies were of variable quality and most lacked an explicit theoretical framework. Most were cross‐sectional in design and therefore not predictive over time. The research shows that there are demographic differences in behaviour: being older, female and more educated, or non‐White, is associated with a higher chance of adopting the behaviours. There is evidence that greater levels of perceived susceptibility to and perceived severity of the diseases and greater belief in the effectiveness of recommended behaviours to protect against the disease are important predictors of behaviour. There is also evidence that greater levels of state anxiety and greater trust in authorities are associated with behaviour. Conclusions . The findings from this review can be broadly explained by theories of health behaviour. However, theoretically driven prospective studies are required to further clarify the relationship between demographic factors, attitudes, and behaviour. The findings suggest that intervention studies and communication strategies should focus on particular demographic groups and on raising levels of perceived threat of the pandemic disease and belief in the effectiveness of measures designed to protect against it.
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.
Integrity signals
Registry
Cites
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.
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
Reflective and Impulsive Determinants of Social Behavior
Strack, F., & Deutsch, R. (2004) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr0803_1 · Cited by 3,984
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988) · Journal of Consumer Research · doi:10.1086/209170 · Cited by 3,867
The Theory of Planned Behavior: A Review of its Applications to Health-Related Behaviors
Godin, G., & Kok, G. (1996) · American Journal of Health Promotion · doi:10.4278/0890-1171-11.2.87 · Cited by 3,185
A Meta-Analytic Review of the Common-Sense Model of Illness Representations
Hagger, M. S., & Orbell, S. (2003) · Psychology & Health · doi:10.1080/088704403100081321 · Cited by 1,607 · cited 2×
“This demonstrated how the relationships between these concepts were consistent with those predicted by the model and that the model predicted a variety of health behaviours (Hagger & Orbell, 2003) .”
ResultRubin, G. J., Amlot, R., Page, L., & Wessely, S. (2009) · BMJ · doi:10.1136/bmj.b2651 · Cited by 1,106
West, R., & Brown, J. (2013) · doi:10.1002/9781118484890 · Cited by 816
Why illness perceptions matter
Petrie, K., & Weinman, J. (2006) · Clinical Medicine · doi:10.7861/clinmedicine.6-6-536 · Cited by 475
Towards a theory of intentional behaviour change: Plans, planning, and self‐regulation
Sniehotta, F. F. (2009) · British Journal of Health Psychology · doi:10.1348/135910708x389042 · Cited by 437
The public’s response to severe acute respiratory syndrome in Toronto and the United States
Blendon, R. J., Benson, J. M., DesRoches, C. M., Raleigh, E., & Taylor‐Clark, K. (2004) · Clinical Infectious Diseases · doi:10.1086/382355 · Cited by 393
Leung, G. M., Ho, L.-M., Chan, S. K. K., Ho, S.-Y., Bacon-Shone, J., Choy, R. Y. L., Hedley, A. J., Lam, T.-H., & Fielding, R. (2005) · Clinical Infectious Diseases · doi:10.1086/429923 · Cited by 377 · cited 8×
“The finding that higher anxiety is associated with a greater chance of uptake of precautionary behaviours was also observed in a longitudinal study carried out in Hong Kong (Leung et al., 2005).”
BackgroundResultInfluential
Cited by
Allcott, H., Boxell, L., Conway, J., Gentzkow, M., Thaler, M., & Yang, D. (2020) · Journal of Public Economics · doi:10.1016/j.jpubeco.2020.104254 · Cited by 999
Wise, T., Zbozinek, T. D., Michelini, G., Hagan, C. C., & Mobbs, D. (2020) · Royal Society Open Science · doi:10.1098/rsos.200742 · Cited by 734
Nivette, A., Ribeaud, D., Murray, A., Steinhoff, A., Bechtiger, L., Hepp, U., Shanahan, L., & Eisner, M. (2021) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.113370 · Cited by 575
The impacts of vulnerability, perceived risk, and fear on preventive behaviours against COVID-19
Yıldırım, M., Geçer, E., & Akgül, Ö. (2021) · Psychology, Health & Medicine · doi:10.1080/13548506.2020.1776891 · Cited by 518
The Psychological Causes of Panic Buying Following a Health Crisis
Yuen, K. F., Wang, X., Ma, F., & Li, K. X. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17103513 · Cited by 514
Metadata
- Authors
- Bish, A., & Michie, S.
- Venue
- British Journal of Health Psychology
- Publisher
- Wiley
- Published
- 2010-11
- Volume
- 15
- Issue
- 4
- Pages
- 797-824
- ISSN
- 1359-107X (ISSN-L)
- 2044-8287
- OpenAlex
- W1995148731
- Cited by
- 1,227
- References
- 11
- FWCI
- 63.65
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Demographic and attitudinal determinants of protective behaviours during a pandemic: A review. https://app.cochat.ai/papers/10.1348/135910710x485826
- The paper
- Bish, A., & Michie, S. (2010). Demographic and attitudinal determinants of protective behaviours during a pandemic: A review. British Journal of Health Psychology. https://doi.org/10.1348/135910710x485826
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.