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Cited by 451

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 access
De Vito, Corrado, Angeloni, Claudio, De Feo, Emma, Marzuillo, Carolina, Lattanzi, Amedeo, Ricciardi, Walter, Villari, Paolo, Boccia, Stefania·2014·BioMed Research International

Abstract

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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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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CoChat. (2026). Citation check: 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. https://app.cochat.ai/papers/10.1155/2014/304602
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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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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.