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Predictive power of PEN-3 cultural model in cervical cancer screening among women: a cross- sectional study in South of Iran

BACKGROUND: Cervical cancer (CC) can be prevented through early detection facilitated by screening as well as an early diagnosis and effective treatment of the precancerous lesions. The present research aimed to determine the predictors of cervical cancer screening (CCS) based on the PEN-3 model con...

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Autores principales: Dadipoor, Sara, Alavi, Azin, Kader, Zainab, Mohseni, Shokrollah, Eshaghi Sani Kakhaki, Hadi, Shahabi, Nahid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408223/
https://www.ncbi.nlm.nih.gov/pubmed/37553636
http://dx.doi.org/10.1186/s12885-023-11240-3
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author Dadipoor, Sara
Alavi, Azin
Kader, Zainab
Mohseni, Shokrollah
Eshaghi Sani Kakhaki, Hadi
Shahabi, Nahid
author_facet Dadipoor, Sara
Alavi, Azin
Kader, Zainab
Mohseni, Shokrollah
Eshaghi Sani Kakhaki, Hadi
Shahabi, Nahid
author_sort Dadipoor, Sara
collection PubMed
description BACKGROUND: Cervical cancer (CC) can be prevented through early detection facilitated by screening as well as an early diagnosis and effective treatment of the precancerous lesions. The present research aimed to determine the predictors of cervical cancer screening (CCS) based on the PEN-3 model constructs. METHODS: A cross-sectional study was conducted between September 2021- March 2022 with 840 women aged 15–49 in the city of Bandar Abbas, in the south of Iran, using a cluster sampling. The participants completed a valid and reliable self-administered questionnaire in person. The questionnaire included demographic characteristics, knowledge toward CC and the constructs of the PEN-3 model toward CCS. A multivariable logistic regression was used to determine the relationship and predictive power of model constructs with behavior as an outcome variable. The data were statistically analyzed in STATA(14.2). The p-value < 0.05 was considered statistically significant. RESULTS: A total of 810 questionnaires were analyzed (with a return of 95.63%). The mean and standard deviation of the participants’ age was 30.97 ± 5.80 years. Pearson correlation coefficient analysis of all constructs and CCS behavior was statistically significant (P-value < 0.05). The multivariable logistic regression analytic results were enablers toward CCS (coefficient: 0.275) and Nurturers toward CCS (coefficient: 0.182), perceptions toward CCS (coefficient: 0.077) and knowledge toward CC (coefficient: 0.048, marginal significant) were predictors of CCS behavior. For the internal validity of the designed prediction model, a sample of 1000 was selected using the bootstrap sample replacement method which demonstrated the accuracy of the model PEN-3 is about 75% in predicting CCS behavior. CONCLUSIONS: The results of the present research showed that personal factors such as perceptions and interpersonal factors such as enablers and nurturers toward CCS can predict CCS behavior. Therefore, in order to increase the acceptance of CCS in women, a set of intrapersonal and interpersonal factors should be taken into account. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11240-3.
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spelling pubmed-104082232023-08-09 Predictive power of PEN-3 cultural model in cervical cancer screening among women: a cross- sectional study in South of Iran Dadipoor, Sara Alavi, Azin Kader, Zainab Mohseni, Shokrollah Eshaghi Sani Kakhaki, Hadi Shahabi, Nahid BMC Cancer Research BACKGROUND: Cervical cancer (CC) can be prevented through early detection facilitated by screening as well as an early diagnosis and effective treatment of the precancerous lesions. The present research aimed to determine the predictors of cervical cancer screening (CCS) based on the PEN-3 model constructs. METHODS: A cross-sectional study was conducted between September 2021- March 2022 with 840 women aged 15–49 in the city of Bandar Abbas, in the south of Iran, using a cluster sampling. The participants completed a valid and reliable self-administered questionnaire in person. The questionnaire included demographic characteristics, knowledge toward CC and the constructs of the PEN-3 model toward CCS. A multivariable logistic regression was used to determine the relationship and predictive power of model constructs with behavior as an outcome variable. The data were statistically analyzed in STATA(14.2). The p-value < 0.05 was considered statistically significant. RESULTS: A total of 810 questionnaires were analyzed (with a return of 95.63%). The mean and standard deviation of the participants’ age was 30.97 ± 5.80 years. Pearson correlation coefficient analysis of all constructs and CCS behavior was statistically significant (P-value < 0.05). The multivariable logistic regression analytic results were enablers toward CCS (coefficient: 0.275) and Nurturers toward CCS (coefficient: 0.182), perceptions toward CCS (coefficient: 0.077) and knowledge toward CC (coefficient: 0.048, marginal significant) were predictors of CCS behavior. For the internal validity of the designed prediction model, a sample of 1000 was selected using the bootstrap sample replacement method which demonstrated the accuracy of the model PEN-3 is about 75% in predicting CCS behavior. CONCLUSIONS: The results of the present research showed that personal factors such as perceptions and interpersonal factors such as enablers and nurturers toward CCS can predict CCS behavior. Therefore, in order to increase the acceptance of CCS in women, a set of intrapersonal and interpersonal factors should be taken into account. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11240-3. BioMed Central 2023-08-08 /pmc/articles/PMC10408223/ /pubmed/37553636 http://dx.doi.org/10.1186/s12885-023-11240-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Dadipoor, Sara
Alavi, Azin
Kader, Zainab
Mohseni, Shokrollah
Eshaghi Sani Kakhaki, Hadi
Shahabi, Nahid
Predictive power of PEN-3 cultural model in cervical cancer screening among women: a cross- sectional study in South of Iran
title Predictive power of PEN-3 cultural model in cervical cancer screening among women: a cross- sectional study in South of Iran
title_full Predictive power of PEN-3 cultural model in cervical cancer screening among women: a cross- sectional study in South of Iran
title_fullStr Predictive power of PEN-3 cultural model in cervical cancer screening among women: a cross- sectional study in South of Iran
title_full_unstemmed Predictive power of PEN-3 cultural model in cervical cancer screening among women: a cross- sectional study in South of Iran
title_short Predictive power of PEN-3 cultural model in cervical cancer screening among women: a cross- sectional study in South of Iran
title_sort predictive power of pen-3 cultural model in cervical cancer screening among women: a cross- sectional study in south of iran
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408223/
https://www.ncbi.nlm.nih.gov/pubmed/37553636
http://dx.doi.org/10.1186/s12885-023-11240-3
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