Prevalence of ENT Diseseas (PrENT)

October 23, 2023 updated by: Medical University of Graz

Prevalence Study of ENT-related Diseases in Conscripts at the Military Induction Board

The aim of the present study will be to evaluate in conscripts at the military induction board the prevalence of rhinosinusitis, the prevalence of HPV vaccinations, the prevalence of hearing impairments and the prevalence of long-COVID symptoms and further, to evaluate different factors that influence on the one hand the prevalence (urban-bred, non-urban-bred) and on the other hand symptoms (ENT-surgeries in medical history). Further, we want to evaluate if there is a correlation between subjective symptoms and apparated-based diagnostic investigations.

Therefore, questionnaires and data of medical examinations, aquired routinely at the military induction board, will be analysed.

Study Overview

Detailed Description

Rhinosinusitis is a very common complaint at ENT departments, whereby symptoms of the underlying disease are varying. Therefore, there is growing interest in prevalence of rhinosinusitis including differences in prevalence's depending on where the patient grew up. Further, there is growing interest in answering the question if different factors, including ENT-surgeries in medical history have an impact on symptoms of rhinosinusitis.

Within the past few years there is growing interest in carring out as many HPV-vaccinations as possible in order to reduce the prevalence of HPV-associated cancers.

Further, in adolescents there is a growing number of hearing impairments, including hearing loss and/or sounds in the ears.

Next, since the beginning of the COVID pandemic there are very common complaints in adult and pediatric patients about persistent medical problems for weeks or months after an acute SARS-CoV-2-infection and cannot be explained by another diagnosis, called long- Covid disease.

The military induction board of conscripts enables access to data from a cross-section of the population, with common characteristics of gender and age.

In the present study we want therefore to evaluate in conscripts at the military induction board the prevalence of rhinosinusitis, the prevalence of HPV vaccinations, the prevalence of hearing impairments and the prevalence of long-COVID symptoms and further, to evaluate different factors that influence on the one hand the prevalence (urban-bred, non-urban-bred) and on the other hand symptoms (ENT-surgeries in medical history). Further, we want to evaluate if there is a correlation between subjective symptoms and apparated-based diagnostic investigations.

Study Type

Observational

Enrollment (Estimated)

10000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

  • Name: Reinhard Domanyi, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Probability Sample

Study Population

All male Austrian conscripts who take part at the military inductions board are eligible for the study inclusion.

Description

Inclusion Criteria:

  • participation of the military induction board of conscripts
  • consent for participation obtained by the conscripts
  • completed questionnaire (with at least 50% completeness of each subcategory)
  • participation of medical examination

Exclusion Criteria:

  • no consent for participation in the study by the conscripts
  • incomplete questionnaire (with less than 50% completeness of each subcategory)
  • no participation of medical examination.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Prevalence of rhinosinusitis
Time Frame: Through data collection, an average of 1 week
To assess whether there is a difference in prevalence of rhinosinusitis in urban-bred conscripts compared to non-urban-bred conscripts.
Through data collection, an average of 1 week
Prevalence of human papilloma virus vaccination
Time Frame: Through data collection, an average of 1 week
To assess whether there is a difference in prevalence of human papilloma virus vaccinations in urban-bred conscripts compared to non-urban-bred conscripts.
Through data collection, an average of 1 week
Prevalence of hearing impairment
Time Frame: Through data collection, an average of 1 week
To assess whether there is a difference in prevalence of hearing impairment in urban-bred conscripts compared to non-urban-bred conscripts.
Through data collection, an average of 1 week
Prevalence of long-COVID disease
Time Frame: Through data collection, an average of 1 week
To assess whether there is a difference in prevalence of long-COVID disease in vaccinated conscripts compared to no-vaccinated conscripts.
Through data collection, an average of 1 week

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Prevalence of rhinosinusitis
Time Frame: Through data collection, an average of 1 week
To assess prevalence of rhinosinusitis in conscripts at the military induction board
Through data collection, an average of 1 week
Prevalence of rhinosinusitis
Time Frame: Through data collection, an average of 1 week
To assess the different symptoms of rhinosinusitis in conscripts at the military induction board
Through data collection, an average of 1 week
Prevalence of rhinosinusitis
Time Frame: Through data collection, an average of 1 week
To assess the prevalence of rhinosinusitis in conscripts with previous ENT-surgeries
Through data collection, an average of 1 week
Prevalence of rhinosinusitis
Time Frame: Through data collection, an average of 1 week
To assess differences in symptoms in rhinosinusitis in conscripts with previous ENT-surgeries
Through data collection, an average of 1 week
Prevalence of rhinosinusitis
Time Frame: Through data collection, an average of 1 week
To assess the combined prevalence of rhinosinusitis and chronic pulmonary diseases in conscripts
Through data collection, an average of 1 week
Prevalence of rhinosinusitis
Time Frame: Through data collection, an average of 1 week
To assess the difference in prevalence of subjective symptoms of rhinosinusitis compared to objective (apparatus based and laboratory based) symptoms of rhinosinusitis
Through data collection, an average of 1 week
Prevalence of rhinosinusitis
Time Frame: Through data collection, an average of 1 week
To analyse demographic data in conscripts with rhinosinusitis
Through data collection, an average of 1 week
Prevalence of human papilloma virus vaccines
Time Frame: Through data collection, an average of 1 week
To assess the prevalence of HPV vaccines among conscripts at the military induction board
Through data collection, an average of 1 week
Prevalence of human papilloma virus vaccines
Time Frame: Through data collection, an average of 1 week
To assess knowledge about HPV and HPV vaccinations and in dependent of that prevalence of HPV vaccines among conscripts at the military induction board
Through data collection, an average of 1 week
Prevalence of hearing impairment
Time Frame: Through data collection, an average of 1 week
To assess the prevalence of hearing impairment in conscripts at the military induction board
Through data collection, an average of 1 week
Prevalence of hearing impairment
Time Frame: Through data collection, an average of 1 week
To assess the difference in prevalence of subjective symptoms of hearing impairment compared to objective (apparatus based and laboratory based) signs of hearing impairment
Through data collection, an average of 1 week
Prevalence of hearing impairment
Time Frame: Through data collection, an average of 1 week
To analyse demographic data in conscripts with hearing impairment
Through data collection, an average of 1 week
Prevalence of long-COVID
Time Frame: Through data collection, an average of 1 week
To assess the prevalence of long-COVID in conscripts at the military induction board
Through data collection, an average of 1 week
Prevalence of long-COVID
Time Frame: Through data collection, an average of 1 week
To assess different symptoms of long-COVID in conscripts at the military induction board
Through data collection, an average of 1 week
Prevalence of COVID-19 infection
Time Frame: Through data collection, an average of 1 week
To assess the prevalence of previous COVID 19 infections in conscripts at the military induction board
Through data collection, an average of 1 week
Prevalence of long-COVID
Time Frame: Through data collection, an average of 1 week
To analyse demographic data in conscripts with long-COVID
Through data collection, an average of 1 week

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

December 1, 2023

Primary Completion (Estimated)

December 1, 2025

Study Completion (Estimated)

March 31, 2026

Study Registration Dates

First Submitted

October 9, 2023

First Submitted That Met QC Criteria

October 23, 2023

First Posted (Actual)

October 27, 2023

Study Record Updates

Last Update Posted (Actual)

October 27, 2023

Last Update Submitted That Met QC Criteria

October 23, 2023

Last Verified

October 1, 2023

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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