Literature DB >> 20374444

Objective measurements of sleep for non-laboratory settings as alternatives to polysomnography--a systematic review.

Alexander T M Van de Water1, Alison Holmes, Deirdre A Hurley.   

Abstract

Sleep disturbance influences human health. To examine sleep patterns, it is advisable to utilize valid subjective and objective measures. Laboratory-based polysomnography (PSG) is deemed the gold standard to measure sleep objectively, but is impractical for long-term and home utilization (e.g. resource-demanding, difficult to use). Hence, alternative devices have been developed. This study aimed to review the literature systematically, providing an overview of available objective sleep measures in non-laboratory settings as an alternative to PSG. To identify relevant articles, a specific search strategy was run in EMBASE, PubMed, CINAHL, PsycInfo and Compendex (Engineering Village 2). In addition, reference lists of retrieved articles were screened and experts within this research field were contacted. Two researchers, using specified in/exclusion criteria, screened identified citations independently in three stages: on title, abstract and full text. Data from included articles were extracted and inserted into summarizing tables outlining the results. Of the 2217 electronically identified citations, 35 studies met the inclusion criteria. Additional searches revealed eight papers. Psychometric characteristics of nine different objective measures of sleep pattern alternatives to PSG [(bed) actigraphy, observation, bed sensors, eyelid movement- and non-invasive arm sensors, a sleep switch and a remote device] were evaluated. Actigraphy is used widely and has been validated in several populations. Alternative devices to measure sleep patterns are becoming available, but most remain at prototype stage and are validated insufficiently. Future research should concentrate on the development and further validation of non-invasive, inexpensive and user-friendly sleep measures for non-laboratory settings.
© 2010 European Sleep Research Society.

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Year:  2011        PMID: 20374444     DOI: 10.1111/j.1365-2869.2009.00814.x

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


  111 in total

1.  Validation of Sleep-Tracking Technology Compared with Polysomnography in Adolescents.

Authors:  Massimiliano de Zambotti; Fiona C Baker; Ian M Colrain
Journal:  Sleep       Date:  2015-09-01       Impact factor: 5.849

2.  Assessment of sleep in the National Social Life, Health, and Aging Project.

Authors:  Diane S Lauderdale; L Philip Schumm; Lianne M Kurina; Martha McClintock; Ronald A Thisted; Jen-Hao Chen; Linda Waite
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2014-11       Impact factor: 4.077

3.  Agreement between actigraphic and polysomnographic measures of sleep in adults with and without chronic conditions: A systematic review and meta-analysis.

Authors:  Samantha Conley; Andrea Knies; Janene Batten; Garrett Ash; Brienne Miner; Youri Hwang; Sangchoon Jeon; Nancy S Redeker
Journal:  Sleep Med Rev       Date:  2019-05-13       Impact factor: 11.609

4.  Actigraphy-based evaluation of sleep quality and physical activity in individuals with spinal cord injury.

Authors:  Sergiu Albu; Guilherme Umemura; Arturo Forner-Cordero
Journal:  Spinal Cord Ser Cases       Date:  2019-01-21

5.  Validation of an automated wireless system for sleep monitoring during daytime naps.

Authors:  Nicola Cellini; Elizabeth A McDevitt; Ashley A Ricker; Kelly M Rowe; Sara C Mednick
Journal:  Behav Sleep Med       Date:  2014-02-24       Impact factor: 2.964

6.  Ambulatory Versus Laboratory Polysomnography in Obstructive Sleep Apnea: Comparative Assessment of Quality, Clinical Efficacy, Treatment Compliance, and Quality of Life.

Authors:  Lília Andrade; Teresa Paiva
Journal:  J Clin Sleep Med       Date:  2018-08-15       Impact factor: 4.062

7.  The 8-Hour Challenge: Incentivizing Sleep during End-of-Term Assessments.

Authors:  Elise King; Michael K Scullin
Journal:  J Inter Des       Date:  2018-11-18

8.  Capturing PLMS and their variability in children with sickle cell disease: does ankle activity monitoring measure up to polysomnography?

Authors:  Valerie E Rogers; Paul R Gallagher; Carole L Marcus; Kwaku Ohene-Frempong; Joel T Traylor; Thornton B A Mason
Journal:  Sleep Med       Date:  2012-07-25       Impact factor: 3.492

9.  The Burden of Sleep Problems: A Pilot Observational Study in an Ethnically Diverse Urban Primary Care Setting.

Authors:  Elizabeth K Seng; Cynthia Cervoni; Jessica L Lawson; Tanya Oken; Sloane Sheldon; M Diane McKee; Karen A Bonuck
Journal:  J Prim Care Community Health       Date:  2016-05-19

10.  Evaluation of a consumer fitness-tracking device to assess sleep in adults.

Authors:  Massimiliano de Zambotti; Stephanie Claudatos; Sarah Inkelis; Ian M Colrain; Fiona C Baker
Journal:  Chronobiol Int       Date:  2015       Impact factor: 2.877

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