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A predictive model of genital warts preventive behaviors among women in the south of Iran: application of health belief model

BACKGROUND: Genital wart (GW) is known as an infectious disease. Besides the infection, it is associated with a higher risk of cervical neoplasia and cancer in the infected population. The present research aimed to explore the predictors of GW preventive behaviors based on the health belief model (H...

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Autores principales: Shahsavari, Saeideh, Alavi, Azin, Razmjoue, Parisa, Mohseni, Shokrollah, Ranae, Vahid, Hosseini, Zahra, dadipoor, Sakineh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903721/
https://www.ncbi.nlm.nih.gov/pubmed/35260143
http://dx.doi.org/10.1186/s12905-022-01649-6
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author Shahsavari, Saeideh
Alavi, Azin
Razmjoue, Parisa
Mohseni, Shokrollah
Ranae, Vahid
Hosseini, Zahra
dadipoor, Sakineh
author_facet Shahsavari, Saeideh
Alavi, Azin
Razmjoue, Parisa
Mohseni, Shokrollah
Ranae, Vahid
Hosseini, Zahra
dadipoor, Sakineh
author_sort Shahsavari, Saeideh
collection PubMed
description BACKGROUND: Genital wart (GW) is known as an infectious disease. Besides the infection, it is associated with a higher risk of cervical neoplasia and cancer in the infected population. The present research aimed to explore the predictors of GW preventive behaviors based on the health belief model (HBM). METHODS: The present analytical and cross-sectional research was conducted in 2019 among 720 women between 15 and 49 years of age in Bandar Abbas in the south of Iran. The sample was selected in a multi-stratified clustering method. The participants responded to a reliable and valid researcher-made questionnaire which explored demographic information, knowledge-related items and the model constructs. A multivariate linear regression analysis was run to determine the predictors of adopting GW preventive behaviors. A path analysis was also run to test the direct and indirect effects of the model constructs on the dependent variable. RESULTS: The mean and standard deviation of participants’ age was 30.43 ± 8.697 years. As Pearson’s correlation coefficients showed, knowledge (r = 0.197, p < 0.001), perceived susceptibility (r = 0.434, p < 0.001), severity (r = 0.463, p < 0.001) and self-efficacy (r = 0.434, p < 0.001) were significantly correlated with the adoption of GWs preventive behaviors. Multiple linear regression analysis showed that self-efficacy (B = − 0.010, p < 0.001), perceived susceptibility (B = 0.070, p < 0.001) and severity (B = 0.078, p < 0.001) were the predictors of GW preventive behaviors. Path analysis showed that perceived susceptibility, severity and self-efficacy directly affected healthy behaviors while perceived benefits and barriers indirectly affected the preventive behaviors. CONCLUSIONS: The present findings help to promote knowledge of the predictors of GW preventive behaviors. HBM can be a useful theoretical framework to evaluate the preventive behavior of the disease and help to reduce the rate of sexually-transmitted infections including GW. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12905-022-01649-6.
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spelling pubmed-89037212022-03-18 A predictive model of genital warts preventive behaviors among women in the south of Iran: application of health belief model Shahsavari, Saeideh Alavi, Azin Razmjoue, Parisa Mohseni, Shokrollah Ranae, Vahid Hosseini, Zahra dadipoor, Sakineh BMC Womens Health Research BACKGROUND: Genital wart (GW) is known as an infectious disease. Besides the infection, it is associated with a higher risk of cervical neoplasia and cancer in the infected population. The present research aimed to explore the predictors of GW preventive behaviors based on the health belief model (HBM). METHODS: The present analytical and cross-sectional research was conducted in 2019 among 720 women between 15 and 49 years of age in Bandar Abbas in the south of Iran. The sample was selected in a multi-stratified clustering method. The participants responded to a reliable and valid researcher-made questionnaire which explored demographic information, knowledge-related items and the model constructs. A multivariate linear regression analysis was run to determine the predictors of adopting GW preventive behaviors. A path analysis was also run to test the direct and indirect effects of the model constructs on the dependent variable. RESULTS: The mean and standard deviation of participants’ age was 30.43 ± 8.697 years. As Pearson’s correlation coefficients showed, knowledge (r = 0.197, p < 0.001), perceived susceptibility (r = 0.434, p < 0.001), severity (r = 0.463, p < 0.001) and self-efficacy (r = 0.434, p < 0.001) were significantly correlated with the adoption of GWs preventive behaviors. Multiple linear regression analysis showed that self-efficacy (B = − 0.010, p < 0.001), perceived susceptibility (B = 0.070, p < 0.001) and severity (B = 0.078, p < 0.001) were the predictors of GW preventive behaviors. Path analysis showed that perceived susceptibility, severity and self-efficacy directly affected healthy behaviors while perceived benefits and barriers indirectly affected the preventive behaviors. CONCLUSIONS: The present findings help to promote knowledge of the predictors of GW preventive behaviors. HBM can be a useful theoretical framework to evaluate the preventive behavior of the disease and help to reduce the rate of sexually-transmitted infections including GW. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12905-022-01649-6. BioMed Central 2022-03-08 /pmc/articles/PMC8903721/ /pubmed/35260143 http://dx.doi.org/10.1186/s12905-022-01649-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Shahsavari, Saeideh
Alavi, Azin
Razmjoue, Parisa
Mohseni, Shokrollah
Ranae, Vahid
Hosseini, Zahra
dadipoor, Sakineh
A predictive model of genital warts preventive behaviors among women in the south of Iran: application of health belief model
title A predictive model of genital warts preventive behaviors among women in the south of Iran: application of health belief model
title_full A predictive model of genital warts preventive behaviors among women in the south of Iran: application of health belief model
title_fullStr A predictive model of genital warts preventive behaviors among women in the south of Iran: application of health belief model
title_full_unstemmed A predictive model of genital warts preventive behaviors among women in the south of Iran: application of health belief model
title_short A predictive model of genital warts preventive behaviors among women in the south of Iran: application of health belief model
title_sort predictive model of genital warts preventive behaviors among women in the south of iran: application of health belief model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903721/
https://www.ncbi.nlm.nih.gov/pubmed/35260143
http://dx.doi.org/10.1186/s12905-022-01649-6
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