Literature DB >> 22990656

Roles of gender, age, race/ethnicity, and residential socioeconomics in obstructive sleep apnea syndromes.

Frank M Ralls1, Madeleine Grigg-Damberger.   

Abstract

PURPOSE OF REVIEW: Review recent research on the roles of gender, race/ethnicity, residential socioeconomics and age in obstructive sleep apnea syndromes (OSA) and their treatment. RECENT
FINDINGS: Men have a higher prevalence of OSA than women and require higher continuous positive airway pressure (CPAP) pressures for treatment, given similar severity of OSA. When comparing age, women have less severe apnea at all ages. Menopause, pregnancy and polycystic ovarian syndrome increase the risk for OSA in women. Neck fat and BMI influence apnea-hypopnea index (AHI) severity in women; abdominal fat and neck-to-waist ratio do so in men. Obesity, craniofacial structure, lower socioeconomic status and neighborhood disadvantage may better explain ethnic/racial differences in the prevalence and severity of OSA. Ethnicity was no longer significantly associated with OSA severity when WHO criteria for obesity were used.
SUMMARY: OSA has a male predominance; women have a lower AHI than men during certain stages of sleep; women require less CPAP pressure for treatment of similar severity of OSA, and there are ethnic/racial differences in the prevalence and severity of OSA but these may be due to environmental factors, such as living in disadvantaged neighborhoods.

Entities:  

Mesh:

Year:  2012        PMID: 22990656     DOI: 10.1097/MCP.0b013e328358be05

Source DB:  PubMed          Journal:  Curr Opin Pulm Med        ISSN: 1070-5287            Impact factor:   3.155


  33 in total

1.  Association of vasomotor symptoms and sleep apnea risk in midlife women.

Authors:  Catherine C Gao; Ekta Kapoor; Melissa C Lipford; Virginia M Miller; Darrell R Schroeder; Kristin C Mara; Stephanie S Faubion
Journal:  Menopause       Date:  2018-04       Impact factor: 2.953

2.  Gender differences in clinical and polysomnographic features of obstructive sleep apnea: a clinical study of 2827 patients.

Authors:  Ozen K Basoglu; Mehmet Sezai Tasbakan
Journal:  Sleep Breath       Date:  2017-02-14       Impact factor: 2.816

Review 3.  Biomarkers associated with obstructive sleep apnea: A scoping review.

Authors:  Graziela De Luca Canto; Camila Pachêco-Pereira; Secil Aydinoz; Paul W Major; Carlos Flores-Mir; David Gozal
Journal:  Sleep Med Rev       Date:  2014-11-28       Impact factor: 11.609

4.  Exploring sex and gender differences in sleep health: a Society for Women's Health Research Report.

Authors:  Monica P Mallampalli; Christine L Carter
Journal:  J Womens Health (Larchmt)       Date:  2014-06-23       Impact factor: 2.681

5.  Sleep Apnea and Cancer: Analysis of a Nationwide Population Sample.

Authors:  David Gozal; Sandra A Ham; Babak Mokhlesi
Journal:  Sleep       Date:  2016-08-01       Impact factor: 5.849

6.  The Relationship between Metformin and Obstructive Sleep Apnea.

Authors:  Deborah Lin; Lisa Rein; Sergey Tarima; B Tucker Woodson; John R Meurer
Journal:  J Sleep Med Disord       Date:  2015-08-07

7.  Fatigued on Venus, sleepy on Mars-gender and racial differences in symptoms of sleep apnea.

Authors:  Arn H Eliasson; Mariam D Kashani; Robin S Howard; Marina N Vernalis; Randolph E Modlin
Journal:  Sleep Breath       Date:  2014-03-15       Impact factor: 2.816

8.  Decision tree based diagnostic system for moderate to severe obstructive sleep apnea.

Authors:  Hua Ting; Yi-Ting Mai; Hsueh-Chen Hsu; Hui-Ching Wu; Ming-Hseng Tseng
Journal:  J Med Syst       Date:  2014-07-11       Impact factor: 4.460

9.  Alternative scoring models of STOP-bang questionnaire improve specificity to detect undiagnosed obstructive sleep apnea.

Authors:  Frances Chung; Yiliang Yang; Russell Brown; Pu Liao
Journal:  J Clin Sleep Med       Date:  2014-09-15       Impact factor: 4.062

Review 10.  Animal models of sleep disorders.

Authors:  Linda A Toth; Pavan Bhargava
Journal:  Comp Med       Date:  2013-04       Impact factor: 0.982

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