The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
A Large Cross-Sectional Survey Investigating the Knowledge of Cervical Cancer Risk Aetiology and the Predictors of the Adherence to Cervical Cancer Screening Related to Mass Media Campaign
Open accessAbstract
Objectives.The aims of this study were to compare the characteristics of women who got a Pap-test during the mass media campaign, carried out in an Italian region by broadcasts advertising, and two years later and to identify the determinants of knowledge of cervical cancer etiology and of the adherence to the mass media campaign.Methods.A cross-sectional survey was carried out through a self-administered questionnaire.Results.A total of 8570 randomly selected women were surveyed, 823 of these had a Pap-test during the mass media campaign period and 7747 two years later. Higher educational level, being not married, and living in urban areas were the main independent characteristics associated with a higher level of knowledge of cervical cancer etiology, although a previous treatment following a Pap smear abnormality was the strongest predictor (OR = 2.88; 95% CI: 2.43–3.41). During the campaign period women had the Pap-test more frequently as a consequence of the mass media campaign (OR = 8.28; 95% CI; 5.51–12.45).Conclusions.Mass media campaign is a useful tool to foster cervical screening compliance; however, its short-term effect suggests repeating it regularly.
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(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008
Ferlay, J., Shin, H., Bray, F., Forman, D., Mathers, C., & Parkin, D. M. (2010) · International Journal of Cancer · doi:10.1002/ijc.25516 · Cited by 21,293
Hilbe, J. M. (2009) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420075779 · Cited by 2,588
The epidemiology of human papillomavirus infections
Baseman, J. G., & Koutsky, L. A. (2005) · Journal of Clinical Virology · doi:10.1016/j.jcv.2004.12.008 · Cited by 955
Participation in Colorectal Cancer Screening: A Review
Vernon, S. W. (1997) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/89.19.1406 · Cited by 755
SNYDER, L. B., HAMILTON, M. A., MITCHELL, E. W., KIWANUKA-TONDO, J., FLEMING-MILICI, F., & PROCTOR, D. (2004) · Journal of Health Communication · doi:10.1080/10810730490271548 · Cited by 535
Clavel, C., Masure, M., Bory, J.-P., Putaud, I., Mangeonjean, C., Lorenzato, M., Nazeyrollas, P., Gabriel, R., Quereux, C., & Birembaut, P. (2001) · British Journal of Cancer · doi:10.1054/bjoc.2001.1845 · Cited by 465
Are rural residents less likely to obtain recommended preventive healthcare services?
Casey, M. M., Thiede Call, K., & Klingner, J. M. (2001) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(01)00349-x · Cited by 398
What Do Women in the U.S. Know about Human Papillomavirus and Cervical Cancer?
Tiro, J. A., Meissner, H. I., Kobrin, S., & Chollette, V. (2007) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-06-0756 · Cited by 225
Screening for cervical cancer: a review of women's attitudes, knowledge, and behaviour.
Fylan, F. (1998) · Europe PMC (PubMed Central) · Cited by 220
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Metadata
- Authors
- De Vito, C., Angeloni, C., De Feo, E., Marzuillo, C., Lattanzi, A., Ricciardi, W., Villari, P., & Boccia, S.
- Venue
- BioMed Research International
- Publisher
- Wiley
- Published
- 2014
- Volume
- 2014
- Pages
- 1-6
- ISSN
- 1110-7243 (ISSN-L)
- 2314-6133
- 2314-6141
- OpenAlex
- W2025879425
- Cited by
- 451
- References
- 18
- FWCI
- 47.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- De Vito, C., Angeloni, C., De Feo, E., Marzuillo, C., Lattanzi, A., Ricciardi, W., Villari, P., & Boccia, S. (2014). A Large Cross-Sectional Survey Investigating the Knowledge of Cervical Cancer Risk Aetiology and the Predictors of the Adherence to Cervical Cancer Screening Related to Mass Media Campaign. BioMed Research International. https://doi.org/10.1155/2014/304602
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