TY - JOUR
T1 - Analysis of age-related prevalence and risk factors of chronic rhinosinusitis with asthma
AU - Tai, Junhu
AU - Jeong, Yujin
AU - Lee, Kijeong
AU - Park, Jaehyung
AU - Han, Munsoo
AU - Kim, Tae Hoon
N1 - Funding Information:
We thank the 150 residents of the Otorhinolaryngology Departments of 47 training hospitals in South Korea for participating in this survey and members of the Division of Chronic Disease Surveillance of the Korea Centers for Disease Control & Prevention for their dedicated work. This research was also supported by the Statistical Support Project for Writing Medical Papers using the Korea National Health and Nutrition Examination Survey (KNHANES).
Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the Basic Science Research Program, National Research Foundation of Korea, funded by the Ministry of Science and Technology and the Ministry of Science, ICT and Future Planning (2017R1A2B2003575 and NRF-2020R1A2C1006398); the Ministry of Science and ICT, Korea, under the ICT Creative Consilience program (IITP-2022-2020-0-01819), supervised by the Institute for Information and Communications Technology Planning and Evaluation (IITP); and the Korea Health Technology R&D Project (HI17C0387, HI22C1302) through Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare. This research was also supported by a Korea University grant and a grant from the Korea University Medical Center and Anam Hospital in Seoul, Republic of Korea.
Publisher Copyright:
© The Author(s) 2022.
PY - 2022
Y1 - 2022
N2 - Objective: To determine age-related risk factors for chronic rhinosinusitis (CRS) with asthma. Methods: Data were obtained from a national survey of non-hospitalized civilians conducted by the Korean Center for Disease Control and Prevention. CRS diagnosis was based on the guidelines of the European Position Paper on Rhinosinusitis and Nasal Polyps 2020. Asthma was judged based on whether the patient had been diagnosed with asthma in the past. Of the 45,811 survey participants, 26,335 were included in the cross-sectional study. Participants included in the study were divided into the control, CRS, and CRS with asthma groups. Age-related risk factors were analyzed in patients aged < 60 or > 60 years. Univariate logistic analyses were performed to evaluate the relationship between groups. Risk factors included age, sex, household income, residence, education level, occupation, and body mass index (BMI). Results: Education level (Odds Ratio [OR]: 0.342, P =.0003), BMI (OR: 1.09, P =.0082), and total IgE (TIgE) levels (OR: 5.582, P =.003) were significantly different between the control and the CRS with asthma group. Education level (OR: 0.478, P =.0016) and TIgE levels (OR: 4, P =.0218) were significantly different between the CRS and CRS with asthma groups under 60 years of age. BMI (OR: 1.087, P =.0443; OR: 1.104, P =.0224) showed a significant difference between all three groups with age > 60 years. Conclusion: Progression to CRS with asthma is influenced by education level, occupation, and TIgE levels in patients under 60 years of age. BMI was the only influencing factor associated with the progression to CRS with asthma in those aged > 60 years.
AB - Objective: To determine age-related risk factors for chronic rhinosinusitis (CRS) with asthma. Methods: Data were obtained from a national survey of non-hospitalized civilians conducted by the Korean Center for Disease Control and Prevention. CRS diagnosis was based on the guidelines of the European Position Paper on Rhinosinusitis and Nasal Polyps 2020. Asthma was judged based on whether the patient had been diagnosed with asthma in the past. Of the 45,811 survey participants, 26,335 were included in the cross-sectional study. Participants included in the study were divided into the control, CRS, and CRS with asthma groups. Age-related risk factors were analyzed in patients aged < 60 or > 60 years. Univariate logistic analyses were performed to evaluate the relationship between groups. Risk factors included age, sex, household income, residence, education level, occupation, and body mass index (BMI). Results: Education level (Odds Ratio [OR]: 0.342, P =.0003), BMI (OR: 1.09, P =.0082), and total IgE (TIgE) levels (OR: 5.582, P =.003) were significantly different between the control and the CRS with asthma group. Education level (OR: 0.478, P =.0016) and TIgE levels (OR: 4, P =.0218) were significantly different between the CRS and CRS with asthma groups under 60 years of age. BMI (OR: 1.087, P =.0443; OR: 1.104, P =.0224) showed a significant difference between all three groups with age > 60 years. Conclusion: Progression to CRS with asthma is influenced by education level, occupation, and TIgE levels in patients under 60 years of age. BMI was the only influencing factor associated with the progression to CRS with asthma in those aged > 60 years.
KW - age
KW - asthma
KW - big data
KW - chronic rhinosinusitis
KW - prevalence
KW - risk factor
KW - united airway
UR - http://www.scopus.com/inward/record.url?scp=85138280176&partnerID=8YFLogxK
U2 - 10.1177/01455613221121022
DO - 10.1177/01455613221121022
M3 - Article
C2 - 36032033
AN - SCOPUS:85138280176
SN - 0145-5613
JO - Ear, Nose and Throat Journal
JF - Ear, Nose and Throat Journal
ER -