Journal article
Associations of sleep duration and sleep-wake rhythm with lung parenchymal abnormalities on computed tomography: The MESA study
Journal of sleep research, Vol.31(2), pp.e13475-n/a
04/2022
DOI: 10.1111/jsr.13475
PMCID: PMC8891036
PMID: 34498326
Abstract
Impairment of the circadian rhythm promotes lung inflammation and fibrosis in pre-clinical models. We aimed to examine whether short and/or long sleep duration and other markers of sleep-wake patterns are associated with a greater burden of lung parenchymal abnormalities on computed tomography among adults. We cross-sectionally examined associations of sleep duration captured by actigraphy with interstitial lung abnormalities (n = 1111) and high attenuation areas (n = 1416) on computed tomography scan in the Multi-Ethnic Study of Atherosclerosis at Exam 5 (2010-2013). We adjusted for potential confounders in logistic and linear regression models for interstitial lung abnormalities and high attenuation area, respectively. High attenuation area models were also adjusted for study site, lung volume imaged, radiation dose and stratified by body mass index. Secondary exposures were self-reported sleep duration, sleep fragmentation index, sleep midpoint and chronotype. The mean age of those with longer sleep duration (≥ 8 hr) was 70 years and the prevalence of interstitial lung abnormalities was 14%. Increasing actigraphy-based sleep duration among participants with ≥ 8 hr of sleep was associated with a higher adjusted odds of interstitial lung abnormalities (odds ratio of 2.66 per 1-hr increment, 95% confidence interval 1.42-4.99). Longer sleep duration and higher sleep fragmentation index were associated with greater high attenuation area on computed tomography among participants with a body mass index < 25 kg m
(p-value for interaction < 0.02). Self-reported sleep duration, later sleep midpoint and evening chronotype were not associated with outcomes. Actigraphy-based longer sleep duration and sleep fragmentation were associated with a greater burden of lung abnormalities on computed tomography scan.
Details
- Title: Subtitle
- Associations of sleep duration and sleep-wake rhythm with lung parenchymal abnormalities on computed tomography: The MESA study
- Creators
- John S Kim - Columbia University Irving Medical CenterHassan S Dashti - Massachusetts General HospitalTianyi Huang - Brigham and Women's HospitalBrian E Cade - Brigham and Women's HospitalAnna J Podolanczuk - Division of Pulmonary and Critical Care Medicine, Weill Cornell Medical Center, New York, NY, USA.Daniel J O'Hearn - University of VirginiaEric A Hoffman - University of IowaHeming Wang - Brigham and Women's HospitalJohn Blaikley - University of ManchesterR Graham Barr - Columbia University Irving Medical CenterSusan Redline - Harvard University
- Resource Type
- Journal article
- Publication Details
- Journal of sleep research, Vol.31(2), pp.e13475-n/a
- DOI
- 10.1111/jsr.13475
- PMID
- 34498326
- PMCID
- PMC8891036
- NLM abbreviation
- J Sleep Res
- ISSN
- 0962-1105
- eISSN
- 1365-2869
- Grant note
- Department of Health N01HC95169 / NHLBI NIH HHS N01HC95161 / NHLBI NIH HHS UL1 TR001881 / NCATS NIH HHS N01HC95164 / NHLBI NIH HHS R03 HL154284 / NHLBI NIH HHS N01HC95167 / NHLBI NIH HHS RC1 HL100543 / NHLBI NIH HHS N01HC95159 / NHLBI NIH HHS R01 HL103676 / NHLBI NIH HHS N01HC95163 / NHLBI NIH HHS R01 HL077612 / NHLBI NIH HHS N01HC95166 / NHLBI NIH HHS R35 HL135818 / NHLBI NIH HHS MR/T032529/1 / Medical Research Council UL1 TR001079 / NCATS NIH HHS R01 HL153814 / NHLBI NIH HHS UL1-TR-000040 / NHLBI NIH HHS R01 HL093081 / NHLBI NIH HHS N01HC95160 / NHLBI NIH HHS R01 HL153805 / NHLBI NIH HHS HHSN268201500003I / NHLBI NIH HHS K23 HL150301 / NHLBI NIH HHS N01HC95168 / NHLBI NIH HHS K23 HL140199 / NHLBI NIH HHS N01HC95165 / NHLBI NIH HHS N01HC95162 / NHLBI NIH HHS
- Language
- English
- Date published
- 04/2022
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
- Record Identifier
- 9984318822702771
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