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Association between chronotypes and comorbidities in obstructive sleep apnea: The age effect.
Nikolaos Athanasiou1,2, Vassilios Vlachakos2, Asteria Ilektra Karapiperi2
1Division of Pulmonology, Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Morning chronotype in obstructive sleep apnoea (OSA) patients is linked to cardiometabolic risks, especially in those under 60. This chronotype may serve as a clinical marker for identifying comorbidity risk in younger adults with OSA.
Area of Science:
- Sleep Medicine
- Circadian Biology
- Cardiology
Background:
- Obstructive sleep apnoea (OSA) is linked to increased cardiometabolic risk.
- Chronotype, a marker of circadian rhythm, may influence this association.
- Age-related differences in chronotype's impact on OSA comorbidities are not fully understood.
Purpose of the Study:
- To evaluate chronotypes in OSA patients.
- To examine the association between chronotype, age, and comorbidity risk.
- To determine if chronotype can serve as a clinical marker for OSA comorbidities.
Main Methods:
- Cross-sectional study of 671 adult OSA patients.
- Assessment of medical history, questionnaires, and sleep testing (polysomnography or home sleep testing).
- Chronotype assessed using the Morningness-Eveningness Questionnaire (MEQ); comorbidities identified via medical history and treatment.
Main Results:
- Morning chronotype associated with higher prevalence of hypertension, dyslipidemia, diabetes, and cardiovascular disease (p < 0.05).
- These associations were stronger in individuals younger than 60 years.
- Evening chronotype was linked to higher depression rates, irrespective of age.
Conclusions:
- In newly diagnosed OSA patients, morning chronotype is associated with cardiometabolic comorbidities, particularly in younger and middle-aged adults.
- The association between morning chronotype and cardiometabolic risk diminishes in older individuals.
- Chronotype may be a useful adjunctive clinical marker for identifying comorbidity risk in specific age groups within the OSA population.
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