Md Dilshad Manzar1, Mohammad Muntafa Rajput2, Wassilatul Zannat1, Unaise Abdul Hameed3, Muhammed Deeb Al-Jarrah3,4, David Warren Spence5, Seithikurippu R Pandi-Perumal6, Ahmed S BaHammam7,8, M Ejaz Hussain9. 1. Centre for Physiotherapy and Rehabilitation Sciences, Jamia Millia Islamia, Maulana Mohammad Ali Jauhar Marg, New Delhi, 110025, India. 2. Department of Biochemistry, Institute of Home Economics, University of Delhi, New Delhi, India. 3. Department of Physiotherapy, Fatima College of Health Sciences, Al Mafraq, Abu Dhabi City, United Arab Emirates. 4. Department of Rehabilitation Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, 22110, Irbid, Jordan. 5. , 652 Dufferin St., Toronto, ON, Canada. 6. Somnogen Canada Inc, Toronto, ON, Canada. 7. Department of Medicine, College of Medicine, The University Sleep Disorders Centre, Riyadh, Saudi Arabia. 8. The Strategic Technologies Program of the National Plan for Sciences and Technology and Innovation in the Kingdom of Saudi Arabia, Riyadh, Saudi Arabia. 9. Centre for Physiotherapy and Rehabilitation Sciences, Jamia Millia Islamia, Maulana Mohammad Ali Jauhar Marg, New Delhi, 110025, India. hussainmejaz@gmail.com.
Abstract
BACKGROUND: An accumulating amount of evidence has linked humoral mediators of inflammation with sleep measures. Nevertheless, important details of this association, in particular the role of the complement components in the context of chronic sleep attributes, have remained largely uncharacterized. MATERIALS AND METHODS: Fifty university students (age, 23.3 ± 3.8 years; BMI, 23.7 ± 2.9 kg/m(2)) completed the study. Four dichotomized sleep measures assessed by the Pittsburgh Sleep Quality Index (PSQI) were used in association analysis using binary logistic regression with complement component 3, 4, and complement factor I (CFI). The sleep measures were defined as sleep quality (good sleep/poor sleep; PSQI ≤5/PSQI >5), bedtime (early/late; before 00:00 h/after 0:00 h), sleep duration (short/normal ≤6 h/>6 h), and sleep onset latency (normal/disturbed; 0-1 score/2-3 score on the PSQI component of sleep latency). RESULTS: The complement component 4 was associated with sleep quality (unadjusted, OR = 1.025, p < 0.05; adjusted for age, OR = 1.025, p < 0.05; adjusted for BMI, OR = 1.027, p < 0.05) and sleep duration (unadjusted, OR = 1.041, p < 0.01; adjusted for age, OR = 1.041, p < 0.01; adjusted for BMI, OR = 1.046, p < 0.01). CFI was associated with bedtime (unadjusted, OR = 0.737, p < 0.01; adjusted for age, OR = 0.717, p < 0.01; adjusted for BMI, OR = 0.677, p < 0.01) and with sleep duration (unadjusted, OR = 0.796, p < 0.05; adjusted for age, OR = 0.796, p < 0.05). CONCLUSION: The findings indicate the importance of the role of complement components in the dynamics of sleep. Therefore, sleep should be assessed in conditions where complement components are affected.
BACKGROUND: An accumulating amount of evidence has linked humoral mediators of inflammation with sleep measures. Nevertheless, important details of this association, in particular the role of the complement components in the context of chronic sleep attributes, have remained largely uncharacterized. MATERIALS AND METHODS: Fifty university students (age, 23.3 ± 3.8 years; BMI, 23.7 ± 2.9 kg/m(2)) completed the study. Four dichotomized sleep measures assessed by the Pittsburgh Sleep Quality Index (PSQI) were used in association analysis using binary logistic regression with complement component 3, 4, and complement factor I (CFI). The sleep measures were defined as sleep quality (good sleep/poor sleep; PSQI ≤5/PSQI >5), bedtime (early/late; before 00:00 h/after 0:00 h), sleep duration (short/normal ≤6 h/>6 h), and sleep onset latency (normal/disturbed; 0-1 score/2-3 score on the PSQI component of sleep latency). RESULTS: The complement component 4 was associated with sleep quality (unadjusted, OR = 1.025, p < 0.05; adjusted for age, OR = 1.025, p < 0.05; adjusted for BMI, OR = 1.027, p < 0.05) and sleep duration (unadjusted, OR = 1.041, p < 0.01; adjusted for age, OR = 1.041, p < 0.01; adjusted for BMI, OR = 1.046, p < 0.01). CFI was associated with bedtime (unadjusted, OR = 0.737, p < 0.01; adjusted for age, OR = 0.717, p < 0.01; adjusted for BMI, OR = 0.677, p < 0.01) and with sleep duration (unadjusted, OR = 0.796, p < 0.05; adjusted for age, OR = 0.796, p < 0.05). CONCLUSION: The findings indicate the importance of the role of complement components in the dynamics of sleep. Therefore, sleep should be assessed in conditions where complement components are affected.
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Authors: M Ejaz Hussain; Abu Hasnath M Golam Sarwar; Mohd Shoeb Alam; Majumi M Noohu; Wassilatul Zannat; Seithikurippu R Pandi-Perumal; Ahmed S Bahammam; Md Dilshad Manzar Journal: Sleep Sci Date: 2016-04-12