Snoring and sleep apnea. A population study in Australian men.

Bearpark, Helen M.; Elliott, Lynne; Grunstein, Ron; Cullen, Stewart R J; Schneider, Hartmut; Althaus, Wilma; Sullivan, Colin E.

doi:10.1164/ajrccm.151.5.7735600

Cited by 404 publications

(324 citation statements)

References 10 publications

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“…(2) When an AHI ≥ 5 events/h was used as the diagnostic criterion, the prevalence of sleep apnea in men tested in sleep laboratories was found to be 17-26%. (3) A prospective study on sleep conducted in the state of Wisconsin, USA, showed that, in terms of body weight, being 10% heavier at baseline was predictive of a 32% increase in the AHI (95% CI: 20-45%). (4) Conversely, being 10% lighter at baseline predicted a 26% decrease in the AHI (95% CI: 18-34%).…”

Section: Introductionmentioning

confidence: 99%

Avaliação de um modelo de predição para apneia do sono em pacientes submetidos a polissonografia

et al. 2011

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Objective: To test a prediction model for sleep apnea based on clinical and sociodemographic variables in a population suspected of having sleep disorders and submitted to polysomnography. Methods: We included 323 consecutive patients submitted to polysomnography because of the clinical suspicion of having sleep disorders. We used a questionnaire with sociodemographic questions and the Epworth sleepiness scale. Blood pressure, weight, height, and SpO 2 were measured. Multiple linear regression was used in order to create a prediction model for sleep apnea, the apnea-hypopnea index (AHI) being the dependent variable. Multinomial logistic regression was used in order to identify factors independently associated with the severity of apnea (mild, moderate, or severe) in comparison with the absence of apnea. Results: The prevalence of sleep apnea in the study population was 71.2%. Sleep apnea was more prevalent in men than in women (81.2% vs. 56.8%; p < 0.001). The multiple linear regression model, using log AHI as the dependent variable, was composed of the following independent variables: neck circumference, witnessed apnea, age, BMI, and allergic rhinitis. The best-fit linear regression model explained 39% of the AHI variation. In the multinomial logistic regression, mild apnea was associated with BMI and neck circumference, whereas severe apnea was associated with age, BMI, neck circumference, and witnessed apnea. Conclusions: Although the use of clinical prediction models for sleep apnea does not replace polysomnography as a tool for its diagnosis, they can optimize the process of deciding when polysomnography is indicated and increase the chance of obtaining positive polysomnography findings.Keywords: Sleep apnea syndromes; Polysomnography; Sleep apnea, obstructive; Body mass index. ResumoObjetivo: Testar um modelo de predição para apneia do sono a partir de variáveis sociodemográficas e clínicas em uma população com suspeita de distúrbio do sono e submetida à polissonografia. Métodos: Foram incluídos no estudo 323 pacientes consecutivos submetidos à polissonografia por suspeita clínica de distúrbio do sono. Utilizou-se um questionário com questões sociodemográficas e a escala de sonolência de Epworth. Foram medidos pressão arterial, peso, altura e SpO 2 . A regressão linear múltipla, tendo o índice de apneia-hipopneia (IAH) como variável dependente, foi utilizada para construir um modelo de predição de apneia do sono. A regressão logística multinomial foi realizada para verificar fatores associados de forma independente à gravidade da apneia (leve, moderada ou grave) em comparação à ausência de apneia. Resultados: A prevalência de apneia do sono na população de estudo foi de 71,2%, e foi mais prevalente nos homens que nas mulheres (81,2% vs. 56,8%; p < 0,001). O modelo de regressão linear múltipla, com o log IAH como variável dependente, foi composto pelas seguintes variáveis independentes: circunferência do pescoço, apneia testemunhada, idade, IMC e presença de rinite alérgica. O melhor modelo de reg...

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Section: Introductionmentioning

confidence: 99%

Avaliação de um modelo de predição para apneia do sono em pacientes submetidos a polissonografia

et al. 2011

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“…3 Obesity is commonly associated with OSA and has been shown to increase the risk of OSA 10-fold when compared to subjects with normal weight. 4 Indeed, most patients with OSA are obese 5 and at least 50% of severely obese patients report symptoms of OSA. 6 Obesity predisposes individuals to OSA by reducing upper airway size presumably owing to enlargement of lateral airway fat pads and lateral pharyngeal walls.…”

Section: Introductionmentioning

confidence: 99%

The effect of sibutramine-assisted weight loss in men with obstructive sleep apnoea

et al. 2006

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Objective: Obstructive sleep apnoea (OSA) occurs frequently in obese patients and may be reversible with weight loss. Obstructive sleep apnoea and obesity are both independent risk factors for hypertension and increased sympathetic activity. Sibutramine has been increasingly used in the management of obesity, but is relatively contraindicated in patients with hypertension. No studies have investigated the effect of sibutramine on OSA, blood pressure and heart rate. We aimed to assess the changes in OSA and cardiovascular parameters in obese men with OSA enrolled in a sibutramine-assisted weight loss programme (SIB-WL). Design: Open uncontrolled cohort study of obese male subjects with OSA in an SIB-WL. Subjects: Eighty-seven obese (body mass index ¼ 34.272.8 kg/m 2 ) middle-aged (46.379.3 years) male subjects with symptomatic OSA (Epworth score 13.473.6; respiratory disturbance index (RDI) 46.0723.1 events/h) completed the study. Results: At 6 months, there was significant weight loss (8.374.7 kg, Po0.0001), as well as a reduction in waist and neck circumference and sagittal height (all Po0.0001). These changes were accompanied by a reduction in OSA severity (RDI fell by 16.3719.4 events/h and Epworth score by 4.574.6), both Po0.0001). There was no significant change to systolic (P ¼ 0.07) or diastolic blood pressure (P ¼ 0.87); however, there was a mild rise in resting heart rate (Po0.0001). Conclusion: Moderate (B10%) weight loss with SIB-WL results in improvement in OSA severity without increase in blood pressure in closely monitored OSA subjects.

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“…The full methods for implementation and manual scoring of snoring and OSA are described in the original prevalence paper. 18 From this dataset we have previously reported 3 manuscripts related to OSA and snoring outcomes, 2,17,19 but have only reported on the effects of OSA out to 14 years follow-up. The parent Busselton Health Study is an ongoing representative and comprehensive survey of residents in the Shire of Busselton in the South-West region of Western Australia.…”

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confidence: 99%

Sleep Apnea and 20-Year Follow-Up for All-Cause Mortality, Stroke, and Cancer Incidence and Mortality in the Busselton Health Study Cohort

Marshall

Wong

Cullen

et al. 2014

Journal of Clinical Sleep Medicine

426

322

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Objective: To ascertain whether objectively measured obstructive sleep apnea (OSA) independently increases the risk of all cause death, cardiovascular disease (CVD), coronary heart disease (CHD), stroke or cancer Design: Community-based cohort Setting and Participants: 400 residents of the Western Australian town of Busselton Measures: OSA severity was quantifi ed via the respiratory disturbance index (RDI) as measured by a single night recording in November-December 1990 using the MESAM IV device, along with a range of other risk factors. Follow-up for deaths and hospitalizations was ascertained via record linkage to the end of 2010. Results: We had follow-up data in 397 people and then removed those with a previous stroke (n = 4) from the mortality/ CVD/CHD/stroke analyses and those with cancer history from the cancer analyses (n = 7). There were 77 deaths, 103 cardiovascular events (31 strokes, 59 CHD) and 125 incident cases of cancer (39 cancer fatalities) during 20 years follow-up. In fully adjusted models, moderate-severe OSA was signifi cantly associated with all-cause mortality (HR = 4.2; 95% CI 1.9, 9.2), cancer mortality (3.4; 1.1, 10.2), incident cancer (2.5; 1.2, 5.0), and stroke (3.7; 1.2, 11.8), but not signifi cantly with CVD (1.9; 0.75, 4.6) or CHD incidence (1.1; 0.24, 4.6). Mild sleep apnea was associated with a halving in mortality (0.5; 0.27, 0.99), but no other outcome, after control for leading risk factors. Conclusions: Moderate-to-severe sleep apnea is independently associated with a large increased risk of all-cause mortality, incident stroke, and cancer incidence and mortality in this community-based sample.

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Snoring and sleep apnea. A population study in Australian men.

Cited by 404 publications

References 10 publications

Avaliação de um modelo de predição para apneia do sono em pacientes submetidos a polissonografia

Avaliação de um modelo de predição para apneia do sono em pacientes submetidos a polissonografia

The effect of sibutramine-assisted weight loss in men with obstructive sleep apnoea

Sleep Apnea and 20-Year Follow-Up for All-Cause Mortality, Stroke, and Cancer Incidence and Mortality in the Busselton Health Study Cohort

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