Associations between air pollution, intracellular-to-extracellular water distribution, and obstructive sleep apnea manifestations.


Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2023
Historique:
received: 27 02 2023
accepted: 16 05 2023
medline: 5 7 2023
pubmed: 3 7 2023
entrez: 3 7 2023
Statut: epublish

Résumé

Exposure to air pollution may be a risk factor for obstructive sleep apnea (OSA) because air pollution may alter body water distribution and aggravate OSA manifestations. This study aimed to investigate the mediating effects of air pollution on the exacerbation of OSA severity through body water distribution. This retrospective study analyzed body composition and polysomnographic data collected from a sleep center in Northern Taiwan. Air pollution exposure was estimated using an adjusted nearest method, registered residential addresses, and data from the databases of government air quality motioning stations. Next, regression models were employed to determine the associations between estimated air pollution exposure levels (exposure for 1, 3, 6, and 12 months), OSA manifestations (sleep-disordered breathing indices and respiratory event duration), and body fluid parameters (total body water and body water distribution). The association between air pollution and OSA risk was determined. Significant associations between OSA manifestations and short-term (1 month) exposure to PM Because exposure to PM

Sections du résumé

Background
Exposure to air pollution may be a risk factor for obstructive sleep apnea (OSA) because air pollution may alter body water distribution and aggravate OSA manifestations.
Objectives
This study aimed to investigate the mediating effects of air pollution on the exacerbation of OSA severity through body water distribution.
Methods
This retrospective study analyzed body composition and polysomnographic data collected from a sleep center in Northern Taiwan. Air pollution exposure was estimated using an adjusted nearest method, registered residential addresses, and data from the databases of government air quality motioning stations. Next, regression models were employed to determine the associations between estimated air pollution exposure levels (exposure for 1, 3, 6, and 12 months), OSA manifestations (sleep-disordered breathing indices and respiratory event duration), and body fluid parameters (total body water and body water distribution). The association between air pollution and OSA risk was determined.
Results
Significant associations between OSA manifestations and short-term (1 month) exposure to PM
Conclusion
Because exposure to PM

Identifiants

pubmed: 37397706
doi: 10.3389/fpubh.2023.1175203
pmc: PMC10310528
doi:

Substances chimiques

Air Pollutants 0
Environmental Pollutants 0
Particulate Matter 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1175203

Informations de copyright

Copyright © 2023 Tsai, Huang, Liu, Cheng, Hsu, Kuan, Majumdar, Lee, Feng, Tseng, Chen, Kang, Lee, Wu and Liu.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Cheng-Yu Tsai (CY)

Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom.
Division of Pulmonary Medicine, Department of Internal Medicine, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.

Huei-Tyng Huang (HT)

Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.

Ming Liu (M)

Department of Biology, University of Oxford, Oxfordshire, United Kingdom.

Wun-Hao Cheng (WH)

School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Respiratory Therapy, Division of Pulmonary Medicine, Department of Internal Medicine, Taipei Medical University-Wan Fang Hospital, Taipei, Taiwan.

Wen-Hua Hsu (WH)

School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.

Yi-Chun Kuan (YC)

Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
Department of Neurology, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan.

Arnab Majumdar (A)

Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom.

Kang-Yun Lee (KY)

Division of Pulmonary Medicine, Department of Internal Medicine, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.

Po-Hao Feng (PH)

Division of Pulmonary Medicine, Department of Internal Medicine, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.

Chien-Hua Tseng (CH)

Division of Pulmonary Medicine, Department of Internal Medicine, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.

Kuan-Yuan Chen (KY)

Division of Pulmonary Medicine, Department of Internal Medicine, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.

Jiunn-Horng Kang (JH)

Research Center of Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan.
Graduate Institute of Nanomedicine and Medical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan.

Hsin-Chien Lee (HC)

Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan.

Cheng-Jung Wu (CJ)

Department of Otolaryngology, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.

Wen-Te Liu (WT)

Division of Pulmonary Medicine, Department of Internal Medicine, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
Research Center of Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan.

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Classifications MeSH