A survey on prevalence, risk factors and knowledge for oral human papilloma virus infections among university students

Aim: This study analyses the prevalence, risk factors and knowledge levels for oral human papilloma virus (HPV) infection in healthy university students. Materials & methods: A questionnaire was distributed to 452 participants. Also, oral-rinsed samples were collected for molecular screening and genotyping studies by using validated protocols. Results: The prevalence of HPV was 0.7% (HPV type 72var [0.5%; n = 2] and HPV type 13 [0.2%; n = 1]). Male circumcision and age of first sexual experience were the significant factors associated with oral HPV positivity. Several factors found to be predictors for HPV positivity including not being vaccinated. Conclusion: Here, the prevalence of oral HPV infection was low among a healthy sample pool. Further studies are suggested to clarify relations between the infection and risk factors.

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Chemical Ablation of the Soft Palate Neoplasm

Revista de Chimie ◽

10.37358/rc.18.12.6826 ◽

2019 ◽

Vol 69 (12) ◽

pp. 3714-3716

Author(s):

Alexandru Dumitras Meius ◽

Teodora Ioana Ghindea ◽

Catalina Pietrosanu ◽

Dragos Cristian Stefanescu ◽

Irina Ionita ◽

...

Keyword(s):

Risk Factors ◽

Human Papilloma Virus ◽

Soft Palate ◽

Virus Infections ◽

Poor Oral Hygiene ◽

Papilloma Virus ◽

Factors Associated ◽

Endoscopic Control ◽

Chemical Ablation ◽

Mechanical Irritation

Approximately 2% of head and neck malignancies are represented by tumors of the soft palate. The main risk factors associated are smoking, alcohol abuse, human papilloma virus infections, poor oral hygiene, mechanical irritation. The treatment of the soft palate cancer depends on the staging of the tumor and of the pathologic type of the carcinoma. In this article, we will present coblation under endoscopic control as a new method of resection of the soft palate neoplasms.

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Estimating the conditional probability of developing human papilloma virus related oropharyngeal cancer by combining machine learning and inverse Bayesian modelling

PLoS Computational Biology ◽

10.1371/journal.pcbi.1009289 ◽

2021 ◽

Vol 17 (8) ◽

pp. e1009289

Author(s):

Prerna Tewari ◽

Eugene Kashdan ◽

Cathal Walsh ◽

Cara M. Martin ◽

Andrew C. Parnell ◽

...

Keyword(s):

Machine Learning ◽

Natural History ◽

Human Papilloma Virus ◽

Conditional Probability ◽

The United States ◽

Hpv Infection ◽

Health Concern ◽

Prevention Strategies ◽

Papilloma Virus ◽

Oral Hpv

The epidemic increase in the incidence of Human Papilloma Virus (HPV) related Oropharyngeal Squamous Cell Carcinomas (OPSCCs) in several countries worldwide represents a significant public health concern. Although gender neutral HPV vaccination programmes are expected to cause a reduction in the incidence rates of OPSCCs, these effects will not be evident in the foreseeable future. Secondary prevention strategies are currently not feasible due to an incomplete understanding of the natural history of oral HPV infections in OPSCCs. The key parameters that govern natural history models remain largely ill-defined for HPV related OPSCCs and cannot be easily inferred from experimental data. Mathematical models have been used to estimate some of these ill-defined parameters in cervical cancer, another HPV related cancer leading to successful implementation of cancer prevention strategies. We outline a “double-Bayesian” mathematical modelling approach, whereby, a Bayesian machine learning model first estimates the probability of an individual having an oral HPV infection, given OPSCC and other covariate information. The model is then inverted using Bayes’ theorem to reverse the probability relationship. We use data from the Surveillance, Epidemiology, and End Results (SEER) cancer registry, SEER Head and Neck with HPV Database and the National Health and Nutrition Examination Surveys (NHANES), representing the adult population in the United States to derive our model. The model contains 8,106 OPSCC patients of which 73.0% had an oral HPV infection. When stratified by age, sex, marital status and race/ethnicity, the model estimated a higher conditional probability for developing OPSCCs given an oral HPV infection in non-Hispanic White males and females compared to other races/ethnicities. The proposed Bayesian model represents a proof-of-concept of a natural history model of HPV driven OPSCCs and outlines a strategy for estimating the conditional probability of an individual’s risk of developing OPSCC following an oral HPV infection.

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Human Papilloma Virus and Other Risk Factors of Carcinoma Cervix

Bangladesh Medical Journal ◽

10.3329/bmj.v38i1.3582 ◽

1970 ◽

Vol 38 (1) ◽

pp. 18-23 ◽

Cited By ~ 1

Author(s):

S Khatun ◽

Syed Md Akram Hussain ◽

F Hossain ◽

A Choudhury

Keyword(s):

Risk Factors ◽

Cervical Cancer ◽

Cancer Screening ◽

Human Papilloma Virus ◽

Sexual Activity ◽

Hpv Infection ◽

Carcinoma Cervix ◽

Papilloma Virus ◽

Hpv Dna ◽

Screening Strategies

Cervical cancer is the most common cancer among women in many developing countries constituting 20%-30% of female cancers. The etiological factors of cervical cancer include environmental, social, sexual and sexually transmitted agents including human papilloma virus (HPV). HPV has identified in 99.7% invasive cancer. Objective of the study was to find out the prevalence of HPV-DNA virus among diagnosed cases of preinvasive and invasive diseases and to find out different sociodemographic parameters related to carcinoma cervix. This was a cross sectional study. The study has conducted in the department of Obstetrics and Gynaecology of Bangabandhu Sheikh Mujib Medical University. Duration of study was from May 2005 to May 2006. Samples were collected from diagnosed cases of CIN I, II, III and CIS and invasive cancer. Thirty cases were recruited for collection of cervical scraping. Sample were collected of in a specially designed sampler containing liquid transport medium and preserved in minus 20 Degree Celsius and sent to the DNA laboratory for processing and identification of HPV by hybrid capture II method. The results were analyzed by using SPSS version 11.0 and shown in tables and diagrams. The risk factors for HPV infection identified from the result. These are early sexual activity, years of sexual activity, urban people, and higher number of pregnancies. The test could identify HPV-DNA in 100 % of invasive and 50 % of preinvasive cancer. In this study HPV infection was found as a strong determinant for the development of cervical carcinoma and its precursors. Poor socio-economic condition, lower level of education, early marriage and first delivery, multi-parity, years of sexual activity are the risk factors for developing HPV infection. New guidelines for cervical cancer screening strategies could be able to develop from the information obtained from this study. A population-based study with larger sample will be required for the evaluation of cervical cancer screening strategies. Key words: HPV, Carcinoma Cervix DOI: 10.3329/bmj.v38i1.3582 Bangladesh Medical Journal 38(1) 2009 18-23

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Human Papilloma Virus Infection and Anal Squamous Intraepithelial Lesions

Clinics in Colon and Rectal Surgery ◽

10.1055/s-0039-1687830 ◽

2019 ◽

Vol 32 (05) ◽

pp. 347-357 ◽

Cited By ~ 2

Author(s):

Laura Svidler López ◽

Luciana La Rosa

Keyword(s):

Risk Factors ◽

Squamous Cell Carcinoma ◽

Human Papilloma Virus ◽

Human Papilloma Virus Infection ◽

Hpv Infection ◽

Squamous Intraepithelial Lesions ◽

Papilloma Virus ◽

History Of ◽

Anal Squamous Intraepithelial Lesions ◽

Intraepithelial Lesions

AbstractThis article addresses the natural history of the human papilloma virus (HPV) infection to anal squamous intraepithelial lesions, and onto squamous cell carcinoma of the anus. This article provides overviews of the virology, pathophysiology, nomenclature, classification, historical terms, risk factors, clinical evaluation, differential diagnosis, and treatment of HPV infection and its sequelae.

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Combining Machine Learning with Bayesian Inverse Modelling to Estimate the Conditional Probability of Developing Oropharyngeal Cancer following an Oral Human Papilloma Virus Infection

10.21203/rs.3.rs-30245/v1 ◽

2020 ◽

Author(s):

Prerna Tewari ◽

Eugene Kashdan ◽

Cathal Walsh ◽

Cara Martin ◽

Andrew Parnell ◽

...

Keyword(s):

Machine Learning ◽

Natural History ◽

Human Papilloma Virus ◽

Marital Status ◽

Conditional Probability ◽

Hpv Infection ◽

Papilloma Virus ◽

White Males ◽

Oral Hpv ◽

Hispanic White

Abstract Background Despite an epidemic increase in the prevalence of Human Papilloma Virus (HPV) related Oropharyngeal Squamous Cell Carcinomas (OPSCCs) in Northern America and parts of Europe, there is virtually no information about the natural history of these cancers. The lack of well–defined precursor lesions and limited data on oral HPV persistence and clearance rates, poses a challenge for disease modelling. We propose a novel mathematical modelling approach to estimate the conditional probability of developing HPV related OPSCCs following a prevalent HPV infection and other covariates. Methods We developed a double-Bayes method, whereby a Bayesian machine learning model first estimates the probability of an individual having an oral HPV infection, given OPSCC and other covariate information. The model is then inverted using Bayes’ theorem to reverse the probability relationship. The mathematical model was derived from two datasets representing the adult population in the United States (US), the Surveillance Epidemiology and End Results Program (SEER) Head and Neck with HPV Status Database and the National Health and Nutrition Examination Survey (NHANES) 2011-2014. Results The model dataset contains 8,623 subjects of which 70.7% had a prevalent oral HPV positive infection. When stratified by age, sex, marital status and race/ethnicity, the model estimated higher conditional probability for developing OPSCCs following an oral HPV infection in non-Hispanic White males and females compared to other race/ethnicities. Non-Hispanic White males with an oral HPV infection had nearly two fold higher risk of developing OPSCC than non-Hispanic White females (10.6 cases per 10,000 thousand vs 5.05 cases per 10,000) in the age range 50-60. Conclusion We have employed a novel statistical approach to estimate the conditional probability of developing OPSCCs following an oral HPV infection and covariates age, sex, ethnicity and marital status in the US population. We recognise that at best this is a first guess estimate of a natural history model of HPV driven OPSCCs within the existing limitations of the model.

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Effect of intervention in increasing knowledge and awareness of Human Papilloma Virus (HPV) infection and HPV vaccination among graduate students in a private university, Kedah state, Malaysia

MOJ Bioequivalence & Bioavailability ◽

10.15406/mojbb.2018.05.00101 ◽

2018 ◽

Vol 5 (4) ◽

Author(s):

Abdul Nazer Ali ◽

Ng Yen Ping ◽

Sunil K Prajapati ◽

Lim Cheng Pheng ◽

Mohd Zahid Iqbal ◽

...

Keyword(s):

Graduate Students ◽

Human Papilloma Virus ◽

Hpv Vaccination ◽

Private University ◽

Hpv Infection ◽

Papilloma Virus ◽

Increasing Knowledge

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Survey on the knowledge level and attitudes of university students about human papilloma virus infection and vaccination and assessing healthy living behaviors

Journal of Public Health ◽

10.1007/s10389-020-01420-x ◽

2021 ◽

Author(s):

Hale Tosun ◽

Asiye Gul ◽

Saadet Yazici

Keyword(s):

Virus Infection ◽

University Students ◽

Human Papilloma Virus ◽

Human Papilloma Virus Infection ◽

Knowledge Level ◽

Healthy Living ◽

Papilloma Virus

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Awareness and Knowledge about Human Papilloma Virus Infection among Students at Secondary Occupational Health School in China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18126321 ◽

2021 ◽

Vol 18 (12) ◽

pp. 6321

Author(s):

Xin Wang ◽

Taifeng Du ◽

Xiaoling Shi ◽

Kusheng Wu

Keyword(s):

Occupational Health ◽

Human Papilloma Virus ◽

Healthcare Providers ◽

Human Papilloma Virus Infection ◽

First Grade ◽

Hpv Infection ◽

Cross Sectional Study ◽

Causal Link ◽

Cross Sectional ◽

Papilloma Virus

Cervical cancer (CC) is one of the most common causes of cancer-related deaths worldwide. CC is mainly caused by human papilloma virus (HPV), which can be prevented by vaccination. We conducted a cross-sectional study in secondary occupational health school (SOHS) through a questionnaire aimed to assess the awareness and knowledge regarding HPV infection of students. A total of 2248 students participated in the survey, 45.3% of them had heard about CC, while only 21.9% of them had heard about HPV; and 74.2% had no idea of the causal link between HPV infection and CC. Most participants displayed poor awareness and knowledge about HPV infection. The results suggested that age, grade, major, academic performance, etc. were correlated with higher awareness of CC, HPV and HPV infection (p < 0.05). In multivariable logistic analysis, third-grade students had the most increased awareness of CC (OR = 17.13, 95%CI: [8.11, 36.15]), HPV (OR = 6.59, 95%CI: [4.16, 10.43]) and HPV vaccine (OR = 2.78, 95%CI: [1.78, 4.32]) when compared to first-grade. Awareness and knowledge regarding HPV infection were insufficient among students in SOHS. As the future healthcare providers, these results highlight the need to supplement targeted education to improve their awareness and knowledge of HPV and vaccination.

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