Literature DB >> 29445542

Assessing the sleeping habits of patients in a sleep disorder centre: a review of sleep diary accuracy.

Geoffrey Lawrence1, Rexford Muza2.   

Abstract

BACKGROUND: Excessive daytime sleepiness (EDS) is a complaint common to many aspects of medicine. There are primary and secondary causes for EDS, with secondary causes including a large number of common conditions. Primary causes, such as narcolepsy, are much rarer. When assessing for primary hypersomnia, restricted or fragmented sleep must be ruled out. This process involves assessment of sleeping habits using a sleep diary and/or actigraphy. Clinicians are suspicious of the accuracy with which patients use the former. This review aims to evaluate the accuracy of a sleep diary study against the 'objective gold standard' actigraphy report.
METHODS: Data from 35 patients at a Sleep Disorder Centre who underwent both a sleep diary and actigraphy study for suspected primary hypersomnia in 2016 was collected. Mean values of four variables were calculated: 'time of lights out', 'time to fall asleep', 'time of waking' and 'sleep time'. The 'similarity' was assessed. This was a term defined in three different ways: if sleep diary values are accurate to within 20, 30 and 60 min respectively. Percentage 'similarity', mean time differences and standard deviations (SDs) were calculated for each variable. A paired t-test was also performed to assess the significance of the time differences between the two modalities.
RESULTS: Least accurate was 'sleep time', with 14.7%, 23.5% and 58.8% of patients within 20, 30 and 60 min of the actigraphy respectively. Mean time difference for this variable was 66 min (versus 33, 15 and 22). 'Time to fall asleep' was most accurate, with 76.5%, 82.4% and 100% 'similarity' respectively.
CONCLUSIONS: The clinically acceptable accuracy has no universal definition, so clinicians must use experience and reasoning to determine this level to interpret this data. The review suggests that some variables are entered with high accuracy, and the diary is low cost and adds subjective information that cannot be gathered from actigraphy. Therefore, use is recommended to continue alongside actigraphy.

Entities:  

Keywords:  Excessive daytime sleepiness; actigraphy; sleep diary

Year:  2018        PMID: 29445542      PMCID: PMC5803039          DOI: 10.21037/jtd.2017.12.127

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


  9 in total

1.  Eyes wide shut. The dangers of sleepy driving.

Authors:  M W Mahowald
Journal:  Minn Med       Date:  2000-08

Review 2.  The role and validity of actigraphy in sleep medicine: an update.

Authors:  Avi Sadeh
Journal:  Sleep Med Rev       Date:  2011-01-14       Impact factor: 11.609

Review 3.  [Excessive daytime sleepiness].

Authors:  Lia Rita Azeredo Bittencourt; Rogério Santos Silva; Ruth Ferreira Santos; Maria Laura Nogueira Pires; Marco Túlio de Mello
Journal:  Braz J Psychiatry       Date:  2005-07-28       Impact factor: 2.697

Review 4.  Excessive daytime sleepiness: a challenge for the practising neurologist.

Authors:  C Guilleminault; S N Brooks
Journal:  Brain       Date:  2001-08       Impact factor: 13.501

5.  A comparative model: reaction time performance in sleep-disordered breathing versus alcohol-impaired controls.

Authors:  N B Powell; R W Riley; K B Schechtman; M B Blumen; D F Dinges; C Guilleminault
Journal:  Laryngoscope       Date:  1999-10       Impact factor: 3.325

6.  Excessive daytime sleepiness.

Authors:  J F Pagel
Journal:  Am Fam Physician       Date:  2009-03-01       Impact factor: 3.292

7.  A new method for measuring daytime sleepiness: the Epworth sleepiness scale.

Authors:  M W Johns
Journal:  Sleep       Date:  1991-12       Impact factor: 5.849

8.  Adolescent sleep disturbance and school performance: the confounding variable of socioeconomics.

Authors:  James F Pagel; Natalie Forister; Carol Kwiatkowki
Journal:  J Clin Sleep Med       Date:  2007-02-15       Impact factor: 4.062

Review 9.  Sleep disorders as core symptoms of depression.

Authors:  David Nutt; Sue Wilson; Louise Paterson
Journal:  Dialogues Clin Neurosci       Date:  2008       Impact factor: 5.986

  9 in total
  5 in total

1.  Correlation of self-reported sleep duration with working memory of adolescents.

Authors:  Bharati Mehta; Prathamesh H Kamble; Mahesh Gadhvi; Ayush Kaushal
Journal:  J Family Med Prim Care       Date:  2020-08-25

2.  Study protocol for the Shifting Weight using Intermittent Fasting in night shift workers (SWIFt) study: a three-arm randomised controlled trial comparing three weight loss strategies in night shift workers with obesity.

Authors:  Michelle Rogers; Alison Coates; Catherine E Huggins; Jillian Dorrian; Angela B Clark; Corinne Davis; Gloria Kw Leung; Rochelle Davis; Yan Yin Phoi; Nicole J Kellow; Marina Iacovou; Crystal L Yates; Siobhan Banks; Tracey L Sletten; Maxine P Bonham
Journal:  BMJ Open       Date:  2022-04-26       Impact factor: 3.006

3.  ActiGraph and Short-term Heart Rate Variability Study Protocol: Amended for the COVID-19 Pandemic.

Authors:  Anna Luong; Madison Goodyke; Susan L Dunn; Tracy Baynard; Ulf Bronas
Journal:  J Cardiovasc Nurs       Date:  2021 Nov-Dec 01       Impact factor: 2.083

4.  Sleep disorders among Aboriginal Australians with Machado-Joseph Disease: Quantitative results from a multiple methods study to assess the experience of people living with the disease and their caregivers.

Authors:  Desireé LaGrappe; Libby Massey; Anuk Kruavit; Timothy Howarth; Gayangwa Lalara; Bronwyn Daniels; Julie Gungunbuy Wunungmurra; Kimberley Flavell; Ruth Barker; Howard Flavell; Subash S Heraganahally
Journal:  Neurobiol Sleep Circadian Rhythms       Date:  2022-04-22

Review 5.  Mobile phone sleep self-management applications for early start shift workers: A scoping review of the literature.

Authors:  Ben Bullock; Caitlin Learmonth; Hilary Davis; Abdullah Al Mahmud
Journal:  Front Public Health       Date:  2022-08-10
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.