- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06105346
Prevalence of ENT Diseseas (PrENT)
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
Status
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
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Emanuel Maitz, MD
- Phone Number: 00436604756105
- Email: emanuel.maitz@medunigraz.at
Study Contact Backup
- Name: Reinhard Domanyi, MD
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
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
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
Sponsor
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Pathologic Processes
- Coronavirus Infections
- Coronaviridae Infections
- Nidovirales Infections
- RNA Virus Infections
- Virus Diseases
- Infections
- Respiratory Tract Infections
- Respiratory Tract Diseases
- Communicable Diseases
- Sexually Transmitted Diseases, Viral
- Sexually Transmitted Diseases
- Pneumonia, Viral
- Pneumonia
- Lung Diseases
- Disease Attributes
- DNA Virus Infections
- Tumor Virus Infections
- Paranasal Sinus Diseases
- Nose Diseases
- Chronic Disease
- Post-Infectious Disorders
- COVID-19
- Urogenital Diseases
- Genital Diseases
- Sinusitis
- Papillomavirus Infections
- Otorhinolaryngologic Diseases
- Post-Acute COVID-19 Syndrome
Other Study ID Numbers
- PrENT v1
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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