Association between allergic rhinitis and poor sleep parameters in U.S. adults

Christopher R. Roxbury, Mary Qiu, Josef Shargorodsky, Sandra Y Lin

Research output: Contribution to journalArticle

Abstract

Background: Evidence suggests relationships between allergic rhinitis (AR) and poor sleep parameters, but population-based studies in the United States are lacking. This study investigates the relationship between AR and sleep parameters in a representative sample of U.S. adults. Methods: Cross-sectional study of 5563 participants ≥18 years old from the 2005-2006 National Health and Nutrition Examination Survey who participated in the allergy and sleep questionnaires. The predictor variable was AR (self-reported hay fever and/or nasal symptoms in the past 12 months). The outcome variables were individual sleep parameters (sleep latency, sleep duration, sleep disorders, sleep habits, sleep medication use, daytime dysfunction). Covariates included age, gender, race, and obesity. Results: The population-weighted prevalence of AR was 36.5%. Adjusting for covariates, subjects with AR had higher odds of sleep latency ≥30 minutes (OR 1.24; 95% CI, 1.01 to 1.51; p = 0.04), sleep apnea (OR 1.86; 95% CI, 1.22 to 2.82; p < 0.01), insomnia (OR 1.85; 95% CI, 1.04 to 3.32; p = 0.04), trouble falling asleep (OR 1.43; 95% CI, 1.17 to 1.75; p < 0.01), waking up during the night (OR 1.49; 95% CI, 1.11 to 1.99; p = 0.01), waking up too early in the morning (OR 1.46; 95% CI, 1.20 to 1.79; p < 0.01), feeling unrested during the day (OR 1.76, 95% CI, 1.43 to 2.16; p < 0.01), feeling overly sleeping during the day (OR 1.54; 95% CI, 1.25 to 1.90; p < 0.01), not getting enough sleep (OR 1.68; 95% CI, 1.41 to 1.99; p < 0.01), using sleep medication (OR 1.69; 95% CI, 1.23 to 2.33; p < 0.01), difficulty concentrating (OR 1.93; 95% CI, 1.30 to 2.88; p < 0.01), remembering (OR 1.91; 95% CI, 1.22 to 2.97; p < 0.01), managing finances (OR 1.68; 95% CI, 1.09 to 2.56; p = 0.02), working (OR 2.16; 95% CI, 1.45 to 3.22; p < 0.01), and getting things done (OR 2.35; 95% CI, 1.36 to 4.06; p < 0.01) due to daytime sleepiness. Conclusion: This analysis of a representative sample of U.S. adults revealed associations between AR and poor sleep parameters including prolonged sleep latency, insomnia, sleep apnea, sleep disturbances, sleep medication use, and daytime dysfunction. These findings reinforce the need to assess sleep quality in patients undergoing evaluation for AR.

Original languageEnglish (US)
JournalInternational Forum of Allergy and Rhinology
DOIs
StateAccepted/In press - Jan 1 2018

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Sleep
Allergic Rhinitis
Sleep Apnea Syndromes
Sleep Initiation and Maintenance Disorders
Emotions
Seasonal Allergic Rhinitis
Nutrition Surveys
Nose
Population
Habits
Hypersensitivity
Obesity
Cross-Sectional Studies

Keywords

  • Aeroallergen
  • Allergic rhinitis
  • Patient reported outcome measure
  • Quality of life
  • Sleep

ASJC Scopus subject areas

  • Immunology and Allergy
  • Otorhinolaryngology

Cite this

Association between allergic rhinitis and poor sleep parameters in U.S. adults. / Roxbury, Christopher R.; Qiu, Mary; Shargorodsky, Josef; Lin, Sandra Y.

In: International Forum of Allergy and Rhinology, 01.01.2018.

Research output: Contribution to journalArticle

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abstract = "Background: Evidence suggests relationships between allergic rhinitis (AR) and poor sleep parameters, but population-based studies in the United States are lacking. This study investigates the relationship between AR and sleep parameters in a representative sample of U.S. adults. Methods: Cross-sectional study of 5563 participants ≥18 years old from the 2005-2006 National Health and Nutrition Examination Survey who participated in the allergy and sleep questionnaires. The predictor variable was AR (self-reported hay fever and/or nasal symptoms in the past 12 months). The outcome variables were individual sleep parameters (sleep latency, sleep duration, sleep disorders, sleep habits, sleep medication use, daytime dysfunction). Covariates included age, gender, race, and obesity. Results: The population-weighted prevalence of AR was 36.5{\%}. Adjusting for covariates, subjects with AR had higher odds of sleep latency ≥30 minutes (OR 1.24; 95{\%} CI, 1.01 to 1.51; p = 0.04), sleep apnea (OR 1.86; 95{\%} CI, 1.22 to 2.82; p < 0.01), insomnia (OR 1.85; 95{\%} CI, 1.04 to 3.32; p = 0.04), trouble falling asleep (OR 1.43; 95{\%} CI, 1.17 to 1.75; p < 0.01), waking up during the night (OR 1.49; 95{\%} CI, 1.11 to 1.99; p = 0.01), waking up too early in the morning (OR 1.46; 95{\%} CI, 1.20 to 1.79; p < 0.01), feeling unrested during the day (OR 1.76, 95{\%} CI, 1.43 to 2.16; p < 0.01), feeling overly sleeping during the day (OR 1.54; 95{\%} CI, 1.25 to 1.90; p < 0.01), not getting enough sleep (OR 1.68; 95{\%} CI, 1.41 to 1.99; p < 0.01), using sleep medication (OR 1.69; 95{\%} CI, 1.23 to 2.33; p < 0.01), difficulty concentrating (OR 1.93; 95{\%} CI, 1.30 to 2.88; p < 0.01), remembering (OR 1.91; 95{\%} CI, 1.22 to 2.97; p < 0.01), managing finances (OR 1.68; 95{\%} CI, 1.09 to 2.56; p = 0.02), working (OR 2.16; 95{\%} CI, 1.45 to 3.22; p < 0.01), and getting things done (OR 2.35; 95{\%} CI, 1.36 to 4.06; p < 0.01) due to daytime sleepiness. Conclusion: This analysis of a representative sample of U.S. adults revealed associations between AR and poor sleep parameters including prolonged sleep latency, insomnia, sleep apnea, sleep disturbances, sleep medication use, and daytime dysfunction. These findings reinforce the need to assess sleep quality in patients undergoing evaluation for AR.",
keywords = "Aeroallergen, Allergic rhinitis, Patient reported outcome measure, Quality of life, Sleep",
author = "Roxbury, {Christopher R.} and Mary Qiu and Josef Shargorodsky and Lin, {Sandra Y}",
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T1 - Association between allergic rhinitis and poor sleep parameters in U.S. adults

AU - Roxbury, Christopher R.

AU - Qiu, Mary

AU - Shargorodsky, Josef

AU - Lin, Sandra Y

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Y1 - 2018/1/1

N2 - Background: Evidence suggests relationships between allergic rhinitis (AR) and poor sleep parameters, but population-based studies in the United States are lacking. This study investigates the relationship between AR and sleep parameters in a representative sample of U.S. adults. Methods: Cross-sectional study of 5563 participants ≥18 years old from the 2005-2006 National Health and Nutrition Examination Survey who participated in the allergy and sleep questionnaires. The predictor variable was AR (self-reported hay fever and/or nasal symptoms in the past 12 months). The outcome variables were individual sleep parameters (sleep latency, sleep duration, sleep disorders, sleep habits, sleep medication use, daytime dysfunction). Covariates included age, gender, race, and obesity. Results: The population-weighted prevalence of AR was 36.5%. Adjusting for covariates, subjects with AR had higher odds of sleep latency ≥30 minutes (OR 1.24; 95% CI, 1.01 to 1.51; p = 0.04), sleep apnea (OR 1.86; 95% CI, 1.22 to 2.82; p < 0.01), insomnia (OR 1.85; 95% CI, 1.04 to 3.32; p = 0.04), trouble falling asleep (OR 1.43; 95% CI, 1.17 to 1.75; p < 0.01), waking up during the night (OR 1.49; 95% CI, 1.11 to 1.99; p = 0.01), waking up too early in the morning (OR 1.46; 95% CI, 1.20 to 1.79; p < 0.01), feeling unrested during the day (OR 1.76, 95% CI, 1.43 to 2.16; p < 0.01), feeling overly sleeping during the day (OR 1.54; 95% CI, 1.25 to 1.90; p < 0.01), not getting enough sleep (OR 1.68; 95% CI, 1.41 to 1.99; p < 0.01), using sleep medication (OR 1.69; 95% CI, 1.23 to 2.33; p < 0.01), difficulty concentrating (OR 1.93; 95% CI, 1.30 to 2.88; p < 0.01), remembering (OR 1.91; 95% CI, 1.22 to 2.97; p < 0.01), managing finances (OR 1.68; 95% CI, 1.09 to 2.56; p = 0.02), working (OR 2.16; 95% CI, 1.45 to 3.22; p < 0.01), and getting things done (OR 2.35; 95% CI, 1.36 to 4.06; p < 0.01) due to daytime sleepiness. Conclusion: This analysis of a representative sample of U.S. adults revealed associations between AR and poor sleep parameters including prolonged sleep latency, insomnia, sleep apnea, sleep disturbances, sleep medication use, and daytime dysfunction. These findings reinforce the need to assess sleep quality in patients undergoing evaluation for AR.

AB - Background: Evidence suggests relationships between allergic rhinitis (AR) and poor sleep parameters, but population-based studies in the United States are lacking. This study investigates the relationship between AR and sleep parameters in a representative sample of U.S. adults. Methods: Cross-sectional study of 5563 participants ≥18 years old from the 2005-2006 National Health and Nutrition Examination Survey who participated in the allergy and sleep questionnaires. The predictor variable was AR (self-reported hay fever and/or nasal symptoms in the past 12 months). The outcome variables were individual sleep parameters (sleep latency, sleep duration, sleep disorders, sleep habits, sleep medication use, daytime dysfunction). Covariates included age, gender, race, and obesity. Results: The population-weighted prevalence of AR was 36.5%. Adjusting for covariates, subjects with AR had higher odds of sleep latency ≥30 minutes (OR 1.24; 95% CI, 1.01 to 1.51; p = 0.04), sleep apnea (OR 1.86; 95% CI, 1.22 to 2.82; p < 0.01), insomnia (OR 1.85; 95% CI, 1.04 to 3.32; p = 0.04), trouble falling asleep (OR 1.43; 95% CI, 1.17 to 1.75; p < 0.01), waking up during the night (OR 1.49; 95% CI, 1.11 to 1.99; p = 0.01), waking up too early in the morning (OR 1.46; 95% CI, 1.20 to 1.79; p < 0.01), feeling unrested during the day (OR 1.76, 95% CI, 1.43 to 2.16; p < 0.01), feeling overly sleeping during the day (OR 1.54; 95% CI, 1.25 to 1.90; p < 0.01), not getting enough sleep (OR 1.68; 95% CI, 1.41 to 1.99; p < 0.01), using sleep medication (OR 1.69; 95% CI, 1.23 to 2.33; p < 0.01), difficulty concentrating (OR 1.93; 95% CI, 1.30 to 2.88; p < 0.01), remembering (OR 1.91; 95% CI, 1.22 to 2.97; p < 0.01), managing finances (OR 1.68; 95% CI, 1.09 to 2.56; p = 0.02), working (OR 2.16; 95% CI, 1.45 to 3.22; p < 0.01), and getting things done (OR 2.35; 95% CI, 1.36 to 4.06; p < 0.01) due to daytime sleepiness. Conclusion: This analysis of a representative sample of U.S. adults revealed associations between AR and poor sleep parameters including prolonged sleep latency, insomnia, sleep apnea, sleep disturbances, sleep medication use, and daytime dysfunction. These findings reinforce the need to assess sleep quality in patients undergoing evaluation for AR.

KW - Aeroallergen

KW - Allergic rhinitis

KW - Patient reported outcome measure

KW - Quality of life

KW - Sleep

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