Craniofacial obesity in patients with obstructive sleep apnea

Banabilh, Saeed M; Suzina, A. H.; Sidek, Dinsuhaimi; Samsudin, Abdul Rani; Singh, Gurdev

doi:10.1007/s11325-008-0211-9

Cited by 23 publications

(33 citation statements)

References 33 publications

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“…Full details of the sleep study for the same group of patients can be found elsewhere. 6,19 Table 1 shows the demographic profile of 120 subjects classified according to age and sex. The control group included 37 females and 23 males.…”

Section: Sleep Studymentioning

confidence: 99%

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Facial Profile Shape, Malocclusion and Palatal Morphology in Malay Obstructive Sleep Apnea Patients

Banabilh

Samsudin

Suzina

et al. 2010

The Angle Orthodontist

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Objective: To test the null hypothesis that there is no difference in facial profile shape, malocclusion class, or palatal morphology in Malay adults with and without obstructive sleep apnea (OSA). Materials and Methods: Subjects were 120 adult Malays aged 18 to 65 years (mean Ϯ standard deviation [SD], 33.2 Ϯ 13.31) divided into two groups of 60. Both groups underwent clinical examination and limited channel polysomnography (PSG). The mean OSA and control values were subjected to t-test and the chi square test. Results: Physical examination showed that 61.7% of the OSA patients were obese, and 41.7% of those obese patients had severe OSA. The mean body mass index (BMI) was significantly greater for the OSA group (33.2 kg/m 2 Ϯ 6.5) than for the control group (22.7 kg/m 2 Ϯ 3.5; P Ͻ .001). The mean neck size and systolic blood pressure were greater for the OSA group (43.6 cm Ϯ 6.02; 129.1 mm Hg Ϯ 17.55) than for the control group (35.6 cm Ϯ 3.52; 114.1 mm Hg Ϯ 13.67; P Ͻ .001). Clinical examination showed that the most frequent findings among OSA groups when compared with the control group were convex profiles (71.7%), Class II malocclusion (51.7%), and V palatal shape (53.3%), respectively; the chi square test revealed a significant difference in terms of facial profile and malocclusion class (P Ͻ .05), but no significant difference in palatal shape was found. Conclusion:The null hypothesis is rejected. A convex facial profile and Class II malocclusion were significantly more common in the OSA group. The V palatal shape was a frequent finding in the OSA group. (Angle Orthod. 2010;80:37-42.)

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Section: Sleep Studymentioning

confidence: 99%

“…5 Patients with OSA manifest a spectrum of craniofacial abnormalities and obesity that appear to promote upper airway obstruction during sleep. 6 The contributions of skeletal abnormalities vary among patients and between ethnic groups. For example, Asians have more pronounced skeletal abnormalities and are less obese than white subjects.…”

Section: Introductionmentioning

confidence: 99%

Facial Profile Shape, Malocclusion and Palatal Morphology in Malay Obstructive Sleep Apnea Patients

Banabilh

Samsudin

Suzina

et al. 2010

The Angle Orthodontist

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“…Banabilh et al in [13] carry out an accurate analysis of the face shape, using the 3D stereophotogrammetry, in order to detect patients more prone to severe form of sleep apnea; hence, although this study is one of the first investigating the relations between 3D accurate facial data and specific healthy/unhealthy condition, it cannot be properly compared to our study, nor with respect to the methodology neither to the objective. Other works (such as by Coetzee et al [8] and Tinlin et al [9]) aim to assess the health status focusing on body fat; on the contrary, they measure the perceived fat adiposity, hence they do not provide a reproducible measure for the assessment of the health status.…”

Section: Discussionmentioning

confidence: 96%

“…Also, measurements and indexes derived from anthropometry may be used to monitor the nutritional status, and are currently studied to disclose existing relations with syndromes, as the obstructive sleep apnea, reported by Balabilh et al in [13]), and health risk factors, such as the cardiovascular or the cardio-metabolic risk, in [14] by Millar et al…”

Section: Standard Anthropometric Measurementsmentioning

confidence: 99%

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Face morphology: Can it tell us something about body weight and fat?

Pascali

Giorgi

Bastiani

et al. 2016

Computers in Biology and Medicine

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This paper proposes a method for an automatic extraction of geometric features, related to weight parameters, from 3D facial data acquired with lowcost depth scanners. The novelty of the method relies both on the processing of the 3D facial data and on the definition of the geometric features which are conceptually simple, robust against noise and pose estimation errors, computationally efficient, invariant with respect to rotation, translation, and scale changes. Experimental results show that these measurements are highly correlated with weight, BMI, and neck circumference, and well correlated with waist and hip circumference, which are markers of central obesity.Therefore the proposed method strongly supports the development of interactive, non obtrusive systems able to provide a support for the detection of weight-related problems.

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Interdisciplinary Approaches to Automated Obstructive Sleep Apnea Diagnosis Through High-Dimensional Multiple Scaled Data Analysis

Heo

Leonard

Wang

et al. 2019

Association for Women in Mathematics Series

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Craniofacial obesity in patients with obstructive sleep apnea

Abstract: Craniofacial obesity in the bucco-submandibular regions is associated with OSA and may provide valuable screening information for the identification of patients with undiagnosed OSA.

Cited by 23 publications

References 33 publications

Facial Profile Shape, Malocclusion and Palatal Morphology in Malay Obstructive Sleep Apnea Patients

Facial Profile Shape, Malocclusion and Palatal Morphology in Malay Obstructive Sleep Apnea Patients

Face morphology: Can it tell us something about body weight and fat?

Interdisciplinary Approaches to Automated Obstructive Sleep Apnea Diagnosis Through High-Dimensional Multiple Scaled Data Analysis

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