Body Fat Composition: A Predictive Factor for Obstructive Sleep Apnea

Öǧretmenoǧlu, Oğuz; Süslü, Ahmet Emre; Yücel, Ömer Taşkın; Önerci, T. Metin; Şahin, Altan

doi:10.1097/01.mlg.0000172204.82314.c3

Cited by 69 publications

(22 citation statements)

References 14 publications

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“…Most of the existing evidence shows a good correlation between body fat percentage (estimated by anthropometric measurements and bio-impedance) and the severity of OSAHS [7,8]. In one of the studies, body fat percentage estimated by bio-impedance predicted the risk for OSAHS, contributing to the pre-test probability [7].…”

Section: Discussionmentioning

confidence: 99%

Body composition in obstructive sleep apneahypopnea syndrome bio-impedance reflects the severity of sleep apnea

Lovin

Bercea

Cojocaru

et al. 2010

Multidiscip Respir Med

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BackgroundObstructive sleep apnea-hypopnea syndrome (OSAHS) is characterized by repeated breathing pauses during sleep and is closely associated with obesity. Body fat is known to be a predictive factor for OSAHS and its severity.AimTo study the correlation between the severity of OSAHS and body composition measurements.Methods30 patients with OSAHS (21 men, 9 women, mean age 45.1 years, mean apnea-hypopnea index = 29.6/hour) were included in the study after full polysomnography. They were divided into 3 groups according to the apnea-hypopnea index (AHI): mild OSAHS (mean AHI 10.9/h), moderate OSAHS (mean AHI 23.9/h) and severe OSAHS (mean AHI 53.9/h). Body composition (body fat, body water and dry lean mass) was assessed using bioelectric impedance assay (BIA). Other measurements included neck and abdominal circumferences and body mass index (BMI). Pearson's coefficient (r) was used to express correlations between AHI and the following parameters: BMI, neck and abdominal circumferences, body fat, dry lean mass, and body water. Wilcoxon Sum-of-Ranks (Mann-Whitney) test for comparing unmatched samples was used to compare anthropometric and body composition measurements between groups.ResultsThe correlation between AHI and BMI was weak (r = 0.38). AHI correlated moderately with neck circumference (r = 0.54), with neck circumference corrected by height (r = 0.60), and more strongly with body fat (r = 0.67), with body water (r = 0.69) and with abdominal circumference (r = 0.75). There was a strong negative correlation between AHI and dry lean mass (r = - 0.92). There were significant differences in body fat, body water, neck circumference corrected by height and abdominal circumference (Wilcoxon Sum-of-Ranks, p < 0.01), between mild and severe OSASH groups, but not in BMI (Wilcoxon Sumof-Ranks, W = 86.5; p = 0.17).ConclusionsIn our study, the severity of OSAHS correlated with body fat and with body water more strongly than with general and cervical obesity. Abdominal adiposity may predict OSAHS severity better than neck circumference.

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Section: Discussionmentioning

confidence: 99%

Body composition in obstructive sleep apneahypopnea syndrome bio-impedance reflects the severity of sleep apnea

Lovin

Bercea

Cojocaru

et al. 2010

Multidiscip Respir Med

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“…Segundo esses autores, dentre IMC, idade, circunferência interna da faringe e do pescoço, a CP foi identificada como o mais importante preditor da SAOS. Correlações similares foram observadas por Oðretmenoðlu et al 45 no que diz respeito à CP apresentar coeficientes de correlação mais fracos que o IMC e a CC. Entretanto, contrariamente aos dados desse estudo, o presente trabalho mostrou moderada correlação quanto ao DAS.…”

Section: I S C U S S ã Ounclassified

Perfis metabólico e nutricional como preditores da síndrome da apneia obstrutiva do sono

et al. 2016

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ORIGINAL | ORIGINALPerfis metabólico e nutricional como preditores da síndrome da apneia obstrutiva do sono Metabolic and nutritional status as predictors of obstructive sleep apnea syndrome R E S U M O ObjetivoCorrelacionar os perfis metabólico e nutricional com a presença e gravidade da síndrome da apneia obstrutiva do sono. MétodosEstudo transversal com pacientes adultos e idosos, de ambos os sexos, atendidos no Laboratório do Sono e Coração do Pronto Socorro Cardiológico Universitário de Pernambuco, entre junho e setembro de 2014. Os pacientes se submeteram à polissonografia, à bioimpedância elétrica e a aferições antropométricas. Foram verificadas a presença da síndrome metabólica e outras morbidades. ResultadosA amostra total foi constituída por 50 pacientes, com idade média de 57,52±9,80 anos, sendo que 94% receberam diagnóstico de síndrome da apneia obstrutiva do sono e 74% possuíam síndrome metabólica. As seguintes médias foram obtidas: índice de massa corporal (31,54±5,82 kg/m 2 ); circunferência do pescoço (39,14±4,33 cm); circunferência da cintura (106,72±11,22 cm); diâmetro abdominal sagital (23,00 cm [21,00] mais elevados (p<0,05) entre os pacientes com síndrome da apneia obstrutiva do sono grave, quando comparados aqueles com a forma leve. O diâmetro abdominal sagital apresentou moderada correlação com o índice de apneia e hipopneia e a gordura corporal apresentou fraca correlação. ConclusãoA obesidade, a circunferência do pescoço, o diâmetro abdominal sagital e a síndrome metabólica tiveram associação positiva com a gravidade da síndrome da apneia obstrutiva do sono. Dentre os parâmetros antropométricos avaliados, o diâmetro abdominal sagital mostrou ser o mais adequado preditor para avaliar a presença e gravidade da síndrome da apneia obstrutiva do sono.Palavras-chave: Antropometria. Apneia do sono tipo obstrutiva. Bioimpedância elétrica. Diâmetro abdominal sagital. A B S T R A C T ObjectiveTo compare metabolic and nutritional profiles with the presence and severity of obstructive sleep apnea syndrome. Methods This cross-sectional study included male and female adults and older adults treated at the Sleep and Heart Laboratory of Pernambuco Cardiologic Emergency Medical Services between June and September 2014. Patients underwent polysomnography, bioelectrical impedance analysis, and anthropometric measurements. Presence of the metabolic syndrome and other morbidities was investigated. Results The

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“…Indeed, both body fat percentage and BMI are found to be significantly related to the apnea-hypopnea index (AHI), an index of OSA severity [41–43]. Moreover, visceral adiposity [41, 42, 44] is significantly and positively correlated with AHI. As might be expected, increased fat accumulation around the neck and pharyngeal region could lead to narrowing or compression of the upper airway and has been proposed as a cause of OSA [45] and predictor of its severity [46].…”

Section: Mechanistic Insights: Impact Of Sleep On Energy Balancementioning

confidence: 99%

Sleep disturbances, body fat distribution, food intake and/or energy expenditure: pathophysiological aspects

St‐Onge¹,

Shechter

2014

Hormone Molecular Biology and Clinical Investigation

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Data from cross-sectional and longitudinal studies have illustrated a relationship between short sleep duration (SSD) and weight gain. Individuals with SSD are heavier and gain more weight over time than normal-duration sleepers. This sleep-obesity relationship may have consequences for obesity treatments, as it appears that short sleepers have reduced ability to lose weight. Laboratory-based clinical studies found that experimental sleep restriction affects energy expenditure and intake, possibly providing a mechanistic explanation for the weight gain observed in chronic short sleepers. Specifically, compared to normal sleep duration, sleep restriction increases food intake beyond the energetic costs of increased time spent awake. Reasons for this increased energy intake after sleep restriction are unclear but may include disrupted appetite-regulating hormones, altered brain mechanisms involved in the hedonic aspects of appetite, and/or changes in sleep quality and architecture. Obstructive sleep apnea (OSA) is a disorder at the intersection of sleep and obesity, and the characteristics of the disorder illustrate many of the effects of sleep disturbances on body weight and vice versa. Specifically, while obesity is among the main risk factors for OSA, the disorder itself and its associated disturbances in sleep quality and architecture seem to alter energy balance parameters and may induce further weight gain. Several intervention trials have shown that weight loss is associated with reduced OSA severity. Thus, weight loss may improve sleep, and these improvements may promote further weight loss. Future studies should establish whether increasing sleep duration/improving sleep quality can induce weight loss.

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Body Fat Composition: A Predictive Factor for Obstructive Sleep Apnea

Abstract: It was concluded that the BIA could be an inexpensive and practical alternative to prePSG screening tests and should be included in the evaluation of OSAHS patients.

Cited by 69 publications

References 14 publications

Body composition in obstructive sleep apneahypopnea syndrome bio-impedance reflects the severity of sleep apnea

Body composition in obstructive sleep apneahypopnea syndrome bio-impedance reflects the severity of sleep apnea

Perfis metabólico e nutricional como preditores da síndrome da apneia obstrutiva do sono

Sleep disturbances, body fat distribution, food intake and/or energy expenditure: pathophysiological aspects

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