2019
DOI: 10.5578/tt.69057
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The association of body mass index values with severity and phenotype of sleep-disordered breathing

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Cited by 7 publications
(2 citation statements)
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“…Despite the strong association between OSAS and obesity, studies have shown that an important number of OSAS patients have a BMI within the normal range [ 23 ]. However, this relationship is reinforced by studies concluding that patients with a higher BMI experience frequent ODI periods, resulting in a higher AI and decreased sleep efficiency [ 24 ]. Moreover, a 10% increase in weight gain was associated with a huge probability of developing OSAS, and a 10% weight loss predicted a 26% decrease in AHI [ 25 ].…”
Section: Discussionmentioning
confidence: 99%
“…Despite the strong association between OSAS and obesity, studies have shown that an important number of OSAS patients have a BMI within the normal range [ 23 ]. However, this relationship is reinforced by studies concluding that patients with a higher BMI experience frequent ODI periods, resulting in a higher AI and decreased sleep efficiency [ 24 ]. Moreover, a 10% increase in weight gain was associated with a huge probability of developing OSAS, and a 10% weight loss predicted a 26% decrease in AHI [ 25 ].…”
Section: Discussionmentioning
confidence: 99%
“…Obstructive sleep apnea (OSA) is a common breathing disorder characterized by repetitive episodes of upper airway obstruction and is positively associated with body mass index and age (Zhang, 2012). Of the adult population, up to 50% have OSA, whereas 23.4% of women and 49.7% of men are suffering from moderate to severe OSA (Heinzer et al, 2015; Özdilekcan, Özdemir, Türkkanı, Sur, & Katoue, 2019). The Apnea–Hypopnea Index is a main metric measured by polysomnography for diagnosing OSA, reflecting the average number of significant breathing disturbances per hour of sleep (Zhang, 2012).…”
Section: Introductionmentioning
confidence: 99%