Literature DB >> 25748767

Feasibility of portable sleep monitors to detect obstructive sleep apnea (OSA) in a vulnerable urban population.

Jillian Nickerson1, Euny Lee2, Michael Nedelman2, R Nisha Aurora2, Ana Krieger2, Carol R Horowitz2.   

Abstract

PURPOSE: Portable sleep monitors may offer a convenient method to expand detection of obstructive sleep apnea (OSA), yet few studies have evaluated this technology in vulnerable populations. We therefore aimed to assess the feasibility and acceptability of portable sleep monitors for detection of OSA in a prediabetic, urban minority population.
METHODS: We recruited a convenience sample of participants at their 12-month follow-up for a community-partnered, peer-led lifestyle intervention aimed to prevent diabetes in prediabetic and overweight patients in this prospective mixed-methods pilot study. All participants wore portable sleep monitors overnight at home. We qualitatively explored perceptions about OSA and portable monitors in a subset of participants.
RESULTS: We tested 72 people, predominantly non-White, female, Spanish speaking, uninsured, and of low income. Use of portable sleep monitors was feasible: 100% of the monitors were returned and all participants received results. We detected OSA in 49% (defined as an Apnea-Hypopnea Index [AHI] >5) and moderate-severe OSA in 14% (AHI >15) requiring treatment in 14%. In 21 qualitative interviews, participants supported increased use of portable sleep monitors in their community, were appropriately concerned that OSA could cause progression to diabetes, and thought weight loss could prevent or improve OSA.
CONCLUSIONS: Portable sleep monitors may represent a feasible method for detecting OSA in high-risk urban minority populations. © Copyright 2015 by the American Board of Family Medicine.

Entities:  

Keywords:  Community-Based Participatory Research; Diabetes Mellitus; Monitoring; Obesity; Sleep; Sleep Disorders

Mesh:

Year:  2015        PMID: 25748767      PMCID: PMC4377645          DOI: 10.3122/jabfm.2015.02.140273

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.657


  29 in total

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4.  Evaluation of a single-channel portable monitor for the diagnosis of obstructive sleep apnea.

Authors:  Burcu Oktay; Thomas B Rice; Charles W Atwood; Michael Passero; Neeraj Gupta; Rachel Givelber; Oliver J Drumheller; Patricia Houck; Nancy Gordon; Patrick J Strollo
Journal:  J Clin Sleep Med       Date:  2011-08-15       Impact factor: 4.062

5.  Clinical guidelines for the use of unattended portable monitors in the diagnosis of obstructive sleep apnea in adult patients. Portable Monitoring Task Force of the American Academy of Sleep Medicine.

Authors:  Nancy A Collop; W McDowell Anderson; Brian Boehlecke; David Claman; Rochelle Goldberg; Daniel J Gottlieb; David Hudgel; Michael Sateia; Richard Schwab
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6.  In-home, self-assembled sleep studies are useful in diagnosing sleep apnea in the elderly.

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Review 7.  Obesity, sleep apnea, and hypertension.

Authors:  Robert Wolk; Abu S M Shamsuzzaman; Virend K Somers
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9.  Risk of obstructive sleep apnea in patients with type 2 diabetes mellitus.

Authors:  Alvah R Cass; W Jerome Alonso; Jamal Islam; Susan C Weller
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10.  Type 2 diabetes and pre-diabetes are associated with obstructive sleep apnea in extremely obese subjects: a cross-sectional study.

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Review 1.  Methodological strategies in using home sleep apnea testing in research and practice.

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2.  The effect of CPAP therapy on excessive daytime sleepiness and quality of life in subjects with obstructive sleep apnoea: an AB design study.

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Journal:  Sleep Breath       Date:  2020-11-05       Impact factor: 2.816

3.  Effects of continuous positive airway pressure (CPAP) therapy on neurological and functional rehabilitation in Basal Ganglia Stroke patients with obstructive sleep apnea: A prospective multicenter study.

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Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

4.  Enhancing Obstructive Sleep Apnea Diagnosis With Screening Through Disease Phenotypes: Algorithm Development and Validation.

Authors:  Daniela Ferreira-Santos; Pedro Pereira Rodrigues
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  4 in total

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