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Does the Duration and Time of Sleep Increase the Risk of Allergic Rhinitis? Results of the 6-Year Nationwide Korea Youth Risk Behavior Web-Based Survey

Authors
 Jeoung A. Kwon  ;  Minjee Lee  ;  Ki-Bong Yoo  ;  Eun-Cheol Park 
Citation
 PLOS ONE, Vol.8(8) : e72507, 2013 
Journal Title
 PLOS ONE 
Issue Date
2013
MeSH
Adolescent ; Age Factors ; Child ; Data Collection* ; Depression*/microbiology ; Depression*/physiopathology ; Depression*/psychology ; Female ; Follow-Up Studies ; Humans ; Internet ; Male ; Republic of Korea/epidemiology ; Rhinitis, Allergic ; Rhinitis, Allergic, Perennial*/epidemiology ; Rhinitis, Allergic, Perennial*/physiopathology ; Rhinitis, Allergic, Perennial*/psychology ; Risk-Taking* ; Sleep* ; Socioeconomic Factors ; Suicidal Ideation* ; Time Factors
Keywords
Adolescent ; Age Factors ; Child ; Data Collection* ; Depression*/microbiology ; Depression*/physiopathology ; Depression*/psychology ; Female ; Follow-Up Studies ; Humans ; Internet ; Male ; Republic of Korea/epidemiology ; Rhinitis, Allergic ; Rhinitis, Allergic, Perennial*/epidemiology ; Rhinitis, Allergic, Perennial*/physiopathology ; Rhinitis, Allergic, Perennial*/psychology ; Risk-Taking* ; Sleep* ; Socioeconomic Factors ; Suicidal Ideation* ; Time Factors
Abstract
Allergic rhinitis (AR) is the most common chronic disorder in the pediatric population. Although several studies have investigated the correlation between AR and sleep-related issues, the association between the duration and time of sleep and AR has not been analyzed in long-term national data. This study investigated the relationship between sleep time and duration and AR risk in middle- and high-school students (adolescents aged 12–18). We analyzed national data from the Korea Youth Risk Behavior Web-based Survey by the Korea Centers for Disease Control and Prevention from 2007–2012. The sample size was 274,480, with an average response rate of 96.2%. Multivariate logistic regression analyses were conducted to determine the relationship between sleep and AR risk. Furthermore, to determine the best-fitted model among independent variables such as sleep duration, sleep time, and the combination of sleep duration and sleep time, we used Akaike Information Criteria (AIC) to compare models. A total of 43,337 boys and 41,665 girls reported a diagnosis of AR at baseline. The odds ratio increased with age and with higher education and economic status of the parents. Further, students in mid-sized and large cities had stronger relationships to AR than those in small cities. In both genders, AR was associated with depression and suicidal ideation. In the analysis of sleep duration and sleep time, the odds ratio increased in both genders when sleep duration was <7 hours, and when the time of sleep was later than 24[ratio]00 hours. Our results indicate an association between sleep time and duration and AR. This study is the first to focus on the relationship between sleep duration and time and AR in national survey data collected over 6 years.
Files in This Item:
T201302952.pdf Download
DOI
10.1371/journal.pone.0072507
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Preventive Medicine and Public Health (예방의학교실) > 1. Journal Papers
Yonsei Authors
Park, Eun-Cheol(박은철) ORCID logo https://orcid.org/0000-0002-2306-5398
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/87716
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