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.
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
10,000
Prevalence of rhinosinusitis
To assess whether there is a difference in prevalence of rhinosinusitis in urban-bred conscripts compared to non-urban-bred conscripts.
Time frame: Through data collection, an average of 1 week
Prevalence of human papilloma virus vaccination
To assess whether there is a difference in prevalence of human papilloma virus vaccinations in urban-bred conscripts compared to non-urban-bred conscripts.
Time frame: Through data collection, an average of 1 week
Prevalence of hearing impairment
To assess whether there is a difference in prevalence of hearing impairment in urban-bred conscripts compared to non-urban-bred conscripts.
Time frame: Through data collection, an average of 1 week
Prevalence of long-COVID disease
To assess whether there is a difference in prevalence of long-COVID disease in vaccinated conscripts compared to no-vaccinated conscripts.
Time frame: Through data collection, an average of 1 week
Prevalence of rhinosinusitis
To assess prevalence of rhinosinusitis in conscripts at the military induction board
Time frame: Through data collection, an average of 1 week
Prevalence of rhinosinusitis
To assess the different symptoms of rhinosinusitis in conscripts at the military induction board
Time frame: Through data collection, an average of 1 week
Prevalence of rhinosinusitis
To assess the prevalence of rhinosinusitis in conscripts with previous ENT-surgeries
Time frame: Through data collection, an average of 1 week
Prevalence of rhinosinusitis
To assess differences in symptoms in rhinosinusitis in conscripts with previous ENT-surgeries
Time frame: Through data collection, an average of 1 week
Prevalence of rhinosinusitis
To assess the combined prevalence of rhinosinusitis and chronic pulmonary diseases in conscripts
Time frame: Through data collection, an average of 1 week
Prevalence of rhinosinusitis
To assess the difference in prevalence of subjective symptoms of rhinosinusitis compared to objective (apparatus based and laboratory based) symptoms of rhinosinusitis
Time frame: Through data collection, an average of 1 week
Prevalence of rhinosinusitis
To analyse demographic data in conscripts with rhinosinusitis
Time frame: Through data collection, an average of 1 week
Prevalence of human papilloma virus vaccines
To assess the prevalence of HPV vaccines among conscripts at the military induction board
Time frame: Through data collection, an average of 1 week
Prevalence of human papilloma virus vaccines
To assess knowledge about HPV and HPV vaccinations and in dependent of that prevalence of HPV vaccines among conscripts at the military induction board
Time frame: Through data collection, an average of 1 week
Prevalence of hearing impairment
To assess the prevalence of hearing impairment in conscripts at the military induction board
Time frame: Through data collection, an average of 1 week
Prevalence of hearing impairment
To assess the difference in prevalence of subjective symptoms of hearing impairment compared to objective (apparatus based and laboratory based) signs of hearing impairment
Time frame: Through data collection, an average of 1 week
Prevalence of hearing impairment
To analyse demographic data in conscripts with hearing impairment
Time frame: Through data collection, an average of 1 week
Prevalence of long-COVID
To assess the prevalence of long-COVID in conscripts at the military induction board
Time frame: Through data collection, an average of 1 week
Prevalence of long-COVID
To assess different symptoms of long-COVID in conscripts at the military induction board
Time frame: Through data collection, an average of 1 week
Prevalence of COVID-19 infection
To assess the prevalence of previous COVID 19 infections in conscripts at the military induction board
Time frame: Through data collection, an average of 1 week
Prevalence of long-COVID
To analyse demographic data in conscripts with long-COVID
Time frame: Through data collection, an average of 1 week
Reinhard Domanyi, MD
CONTACT
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