Relationship between the Upper Airway and Obstructive Sleep Apnea-Hypopnea Syndrome in Morbidly Obese Women

Santiago-Recuerda, Ana; Gomez-Terreros, F.J.; Caballero, Paloma; Martín‐Duce, Antonio; Soleto, María Jesús; Vesperinas, Gregorio; Pérez‐Fernández, Elia; Villamor, J.; Álvarez-Sala, R.

doi:10.1007/s11695-007-9120-4

Cited by 26 publications

(29 citation statements)

References 34 publications

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“…Santiago-Recuerda et al 20 have reported that the increase in respiratory muscle strength due to the increase in body mass happens through the reversal of the muscle fiber type (ie, larger quantities of type II fibers compared with type I fibers). This is explained by the adaptation to chronic overload that accompanies obesity.…”

Section: Discussionmentioning

confidence: 99%

Predictive Equations for Maximum Respiratory Pressures of Women According to Body Mass

Sgariboldi

Pazzianotto-Forti

2015

Respir Care

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BACKGROUND:The objective of the present study was to develop predictive equations for maximum respiratory pressures in women according to anthropometric characteristics. METHODS: This cross-sectional study included 156 women between ages 25 and 65 y with a body mass index (BMI) between 18.5 and 55 kg/m 2 , who were evaluated for body mass, height, BMI, neck circumference, waist circumference, hip circumference, and waist/hip ratio. Respiratory muscle strength was assessed by measuring the maximum inspiratory pressure (P Imax ) and maximum expiratory pressure (P Emax ) with an analog vacuum manometer. For statistical analysis, the KolmogorovSmirnov test, Spearman correlation test, and stepwise multiple regression were used. The level of statistical significance was set at 5% (P < .05). RESULTS: Body mass, BMI, neck circumference, waist circumference, hip circumference, and waist/hip ratio showed significant and positive correlations with P Imax and P Emax . On the other hand, age and height showed no significant correlations with P Imax and P Emax . In the regression analysis, the variables that correlated significantly with P Imax and P Emax were used. CONCLUSIONS: Body mass was the variable that best contributed to predicting maximum respiratory pressures values in women (11.70% of the variations of the P Imax and 21.05% of the variations of the P Emax ). For P Imax measurements, the equation ؊0.2 ؋ body mass ؊ 65.6 was established, and for P Emax , the equation 0.3 ؋ body mass ؉ 66.4 was used. It is suggested that the predictive equations developed in this study can be used in the interpretation of the assessment of respiratory muscle strength in morbidly obese women 25-65 y of age.

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Section: Discussionmentioning

confidence: 99%

Predictive Equations for Maximum Respiratory Pressures of Women According to Body Mass

Sgariboldi

Pazzianotto-Forti

2015

Respir Care

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“…Numerous studies have confirmed that obesity is one of the strongest risk factors for the development of OSAHS [5][6][7]. In the case of morbidly obese patients, this association is much more evident with a prevalence of sleep apnea detected in 93.6% of cases [3].…”

Section: Introductionmentioning

confidence: 96%

Obstructive Sleep Apnea–Hypopnea Syndrome—The Role of Bariatric and Maxillofacial Surgeries

et al. 2009

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Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a complex disease with multifactorial etiology. It is marked by the occurrence of apnea and hypopnea events caused by repeated obstructions of the upper airways. OSAHS is strongly associated with obesity, and the prevalence of this disease in morbidly obese patients is very high. Nevertheless, not all patients with OSAHS are obese, and for this reason, there may be other anatomical predispositions to airway collapse. In obese patients, fatty deposition in the parapharyngeal region results in airway reduction and predisposes to airway collapse, worsened by neurologic loss of the normal dilator muscle tone of the neck. However, in nonobese patients, specific craniofacial characteristics such as posterior air pharyngeal space, tongue length, hyoid position, and maxillomandibular deficiencies may predispose some people to develop OSAHS. Treatment strategies for OSAHS patients vary from clinical treatment with continuous positive airway pressure, oral appliances, or medications for mild and moderate OSAHS patients, bariatric surgery for severe obese OSAHS patients to maxillomandibular advancement for obese or nonobese OSAHS patients.

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“…Our group provided data on COPD pathophysiology, particularly about hypoxia and related oxidative stress, the effect of nutritional status, physical exercise and sleep disorders (Álvarez-Sala R, 2010;García-Río et al, 2009, 2011Braghiroli & Álvarez-Sala, 2010;Alcolea et al, 2007). In addition, the sleep apnea hypopnea syndrome (SAHS), its association with metabolic syndrome (MS) constituents and the sum of SAHS plus COPD in the so called "overlap syndrome" were studied (Santiago-Recuerda et al, 2007;De Miguel et al, 2002). We made a search in PubMed including articles published during the last ten years about COPD and DM, in order to review how one disease influences the onset, evolution, treatment and prognosis of the other one.…”

Section: Introductionmentioning

confidence: 99%

Chronic Obstructive Pulmonary Disease and Diabetes Mellitus

Martínez‐Cerón¹,

Barquiel²,

Pallardo³

et al. 2012

Chronic Obstructive Pulmonary Disease - Current Concepts and Practice

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Relationship between the Upper Airway and Obstructive Sleep Apnea-Hypopnea Syndrome in Morbidly Obese Women

Cited by 26 publications

References 34 publications

Predictive Equations for Maximum Respiratory Pressures of Women According to Body Mass

Predictive Equations for Maximum Respiratory Pressures of Women According to Body Mass

Obstructive Sleep Apnea–Hypopnea Syndrome—The Role of Bariatric and Maxillofacial Surgeries

Chronic Obstructive Pulmonary Disease and Diabetes Mellitus

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