Literature DB >> 16628278

[Obstructive sleep apnea and hypopnea syndrome (OSAHS): association with obesity, gender and age].

Carla H da Cunha Daltro1, Francisco H de O Fontes, Rogério Santos-Jesus, Paloma Baiardi Gregorio, Leila Maria Batista Araújo.   

Abstract

Obstructive sleep apnea and hypopnea syndrome (OSAHS) has been the focus of extensive research because of its association with neurocognitive and cardiovascular complications. The aim of this study was to evaluate the frequency and association between OSAHS and the class of obesity, gender and age in outpatients referred to a sleep laboratory. We selected 1,595 patients, 71.7% male. Mean +/- SD age was 46.7 +/- 11.7 years, BMI was 28.1 +/- 5.1 kg/m2 and AIH was 13.9 +/- 15.5 events/ hour of sleep. The patients were considered apneic when the apnea-hypopnea index (AHI) was > 5 events/hour of sleep; OSAHS was present in: (1) 71.1% of men and 50.3% of women (p < 0.001); (2) in 45.3% of patients with normal BMI, in 64.3% of those overweighed and in 80% of obese (p < 0.001). According to age, 61.2% with age < 55 were apneic, as well as 78% of those with age > 55 years old (p < 0.001). We concluded that OSAHS was directly and strongly associated to the male gender, obesity class and to aging.

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Year:  2006        PMID: 16628278     DOI: 10.1590/s0004-27302006000100011

Source DB:  PubMed          Journal:  Arq Bras Endocrinol Metabol        ISSN: 0004-2730


  5 in total

1.  Development and validation of a questionnaire to identify patients with sleep apnea in Mexican population: Mexican questionnaire to identify sleep apnea.

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Journal:  Sleep Breath       Date:  2010-02-23       Impact factor: 2.816

2.  Prevalence and severity of sleep apnea in a group of morbidly obese patients.

Authors:  Carla Daltro; Paloma Baiardi Gregorio; Erivaldo Alves; Maurício Abreu; Daniel Bomfim; Maria Helena Chicourel; Leila Araújo; Helma P Cotrim
Journal:  Obes Surg       Date:  2007-06       Impact factor: 4.129

3.  Measurement properties of a screening questionnaire of obstructive sleep apnea risk: Little information, great prediction?(☆).

Authors:  Paulo Sargento; Victoria Perea; Valentina Ladera; Paulo Lopes; Jorge Oliveira
Journal:  Sleep Sci       Date:  2014-09-18

4.  Correlation Analysis between Airway Volume and Risk of Sleep Apnea/Periodontitis.

Authors:  Wenjian Zhang; Andrew Phillips; Bing-Yan Wang
Journal:  J Oral Maxillofac Res       Date:  2022-06-30

5.  Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea.

Authors:  Xiangru Yan; Liying Wang; Chunguang Liang; Huiying Zhang; Ying Zhao; Hui Zhang; Haitao Yu; Jinna Di
Journal:  Front Neurosci       Date:  2022-08-05       Impact factor: 5.152

  5 in total

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