Childhood asthma, a chronic inflammatory disease, is linked to sleep-breathing disorders (SBD). The vulnerability of asthmatic children to SBDs is well-established, yet limited research focuses on adolescents. This study addresses the research gap, exploring the frequency and risk factors of SBD in adolescents with asthma. A cross-sectional study was conducted among 98 adolescents (12-17 years) with asthma at a Lisbon healthcare facility. Comprehensive assessments, including sociodemographic data, medical history, lung function variables, and validated questionnaires for SBD risk (Pediatric Sleep Questionnaire), rhinitis control, and asthma control (Control of Allergic Rhinitis and Asthma Test and Asthma Control Test), were employed. The study revealed a substantial frequency of SBD symptoms, with 25.5% of adolescents classified as high-risk based on the Pediatric Sleep Questionnaire. Significant associations were identified between high SBD risk and elevated body mass index (BMI), uncontrolled rhinitis, and uncontrolled asthma. Logistic regression analysis confirmed elevated BMI as a robust predictor of SBD risk, indicating a 5.9-fold increase compared to normal-weight counterparts. This study contributes valuable insights into the interplay between asthma and SBD in adolescents. The high prevalence of SBD symptoms, particularly among those with excess weight and uncontrolled respiratory symptoms, underscores the need for targeted preventive strategies. The identified risk factors, notably elevated BMI, provide clinicians with actionable information for intervention, emphasizing the importance of addressing modifiable factors associated with asthma and SBD in this specific population.
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http://dx.doi.org/10.23822/EurAnnACI.1764-1489.377 | DOI Listing |
Ann Work Expo Health
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TNO Research Group Risk Analysis for Prevention, Innovation and Development, Princetonlaan 6, PO Box 80015, Utrecht 3584 CB, The Netherlands.
This article describes the development of a Safe-by-Design (SbD) module and its integration into an easy-to-use tool, named the Nano Exposure Quantifier-Safe-by-Design (NEQ-SbD) tool. The NEQ-SbD tool guides its user to lower the exposure to nanomaterials at the worksite where nanomaterials are manipulated or handled during a wide range of activities. This allows the tool user with an informed decision to assess airborne exposure and to select, compare, and identify appropriate risk management measures (RMM).
View Article and Find Full Text PDFPLoS One
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Department of Endocrinology, Copenhagen University Hospital (Bispebjerg & Steno Diabetes Center Copenhagen), Copenhagen, Denmark.
It is not well investigated whether exposure to specific drug classes is associated with COVID-19. We investigated the risk of SARS-CoV-2 infection and severe COVID-19 among healthcare workers according to prescription drug use. We conducted an observational study among Danish healthcare workers.
View Article and Find Full Text PDFEur Ann Allergy Clin Immunol
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Allergy and Clinical Immunology Department, Hospital de Dona Estefânia, Unidade Local de Saúde (ULS) São José, Lisbon, Portugal.
J Clin Virol
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Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom and the NIHR Oxford Biomedical Research Centre, Oxford, UK.
Nat Rev Clin Oncol
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Department of Health Policy, Vanderbilt University School of Medicine, Nashville, TN, USA.
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