Literature DB >> 31482836

Predictors of Intervention Interest Among Individuals With Short Sleep Duration.

Elizabeth C Adkins1, Olivia DeYonker2, Jennifer Duffecy3, Stephanie A Hooker2, Kelly Glazer Baron2.   

Abstract

STUDY
OBJECTIVES: Over one-third of the United States population sleeps less than the recommended 7 hours a night, which increases risk for chronic diseases. The aim of this study was to evaluate the acceptability of sleep extension interventions and preferences in sleep extension interventions among adults with short sleep duration.
METHODS: Participants aged 18 to 65 years with self-reported sleep duration ≤ 6.5 hours completed an online survey including reported sleep behaviors, barriers to adequate sleep, interest in sleep extension interventions, and a sleep disturbance questionnaire. Data were analyzed using chi-square and binary logistic regression.
RESULTS: Participants (n = 92; 61 females; mean age = 45.6 years, standard deviation = 13.5) reported an average sleep duration of 5:49 (standard deviation = 0:49). More than half of the participants reported current health comorbidities (64%), including insomnia (n = 12, 13%) and sleep apnea (n = 9, 10%). Many participants (38%) reported sleep disturbance. The most common barrier to adequate sleep included insomnia or other sleep problems (55%). Most respondents (84%) indicated an interest in increasing sleep duration. Of the treatment options suggested, most (84% of those interested) were interested in a wrist-worn device. Participants with insomnia or other sleep disorders were more likely to be interested in extending sleep, (χ² = 12.86, P < .001) and in a wrist-worn device (χ² = 5.24, P = .022). Higher Patient-Reported Outcomes Measurement Information System sleep disturbance t scores were also associated with interest in monitoring sleep with a wrist-worn device (b = .18, P < .001).
CONCLUSIONS: Sleep extension interventions using wearable technology are attractive to individuals with short sleep duration, particularly those with greater sleep disturbance and comorbid sleep disorders. CITATION: Adkins EC, DeYonker O, Duffecy J, Hooker SA, Baron KG. Predictors of intervention interest among individuals with short sleep duration. JClin SleepMed. 2019;15(8):1143-1148.
© 2019 American Academy of Sleep Medicine.

Entities:  

Keywords:  sleep disturbance; sleep duration; sleep extension

Mesh:

Year:  2019        PMID: 31482836      PMCID: PMC6707060          DOI: 10.5664/jcsm.7808

Source DB:  PubMed          Journal:  J Clin Sleep Med        ISSN: 1550-9389            Impact factor:   4.062


  27 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

Review 2.  Associations between sleep loss and increased risk of obesity and diabetes.

Authors:  Kristen L Knutson; Eve Van Cauter
Journal:  Ann N Y Acad Sci       Date:  2008       Impact factor: 5.691

3.  The effects of sleep extension on the athletic performance of collegiate basketball players.

Authors:  Cheri D Mah; Kenneth E Mah; Eric J Kezirian; William C Dement
Journal:  Sleep       Date:  2011-07-01       Impact factor: 5.849

4.  ResearchMatch: a national registry to recruit volunteers for clinical research.

Authors:  Paul A Harris; Kirstin W Scott; Laurie Lebo; Niknik Hassan; Chad Lightner; Jill Pulley
Journal:  Acad Med       Date:  2012-01       Impact factor: 6.893

5.  Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments.

Authors:  Daniel J Buysse; Lan Yu; Douglas E Moul; Anne Germain; Angela Stover; Nathan E Dodds; Kelly L Johnston; Melissa A Shablesky-Cade; Paul A Pilkonis
Journal:  Sleep       Date:  2010-06       Impact factor: 5.849

6.  Objectively measured sleep characteristics among early-middle-aged adults: the CARDIA study.

Authors:  Diane S Lauderdale; Kristen L Knutson; Lijing L Yan; Paul J Rathouz; Stephen B Hulley; Steve Sidney; Kiang Liu
Journal:  Am J Epidemiol       Date:  2006-06-01       Impact factor: 4.897

7.  Racial differences in self-reports of sleep duration in a population-based study.

Authors:  Lauren Hale; D Phuong Do
Journal:  Sleep       Date:  2007-09       Impact factor: 5.849

8.  The PHQ-8 as a measure of current depression in the general population.

Authors:  Kurt Kroenke; Tara W Strine; Robert L Spitzer; Janet B W Williams; Joyce T Berry; Ali H Mokdad
Journal:  J Affect Disord       Date:  2008-08-27       Impact factor: 4.839

9.  Dubious bargain: trading sleep for Leno and Letterman.

Authors:  Mathias Basner; David F Dinges
Journal:  Sleep       Date:  2009-06       Impact factor: 5.849

10.  Correlates of short and long sleep duration: a cross-cultural comparison between the United Kingdom and the United States: the Whitehall II Study and the Western New York Health Study.

Authors:  Saverio Stranges; Joan M Dorn; Martin J Shipley; Ngianga-Bakwin Kandala; Maurizio Trevisan; Michelle A Miller; Richard P Donahue; Kathleen M Hovey; Jane E Ferrie; Michael G Marmot; Francesco P Cappuccio
Journal:  Am J Epidemiol       Date:  2008-10-22       Impact factor: 4.897

View more
  1 in total

1.  How are Consumer Sleep Technology Data Being Used to Deliver Behavioral Sleep Medicine Interventions? A Systematic Review.

Authors:  K Glazer Baron; E Culnan; J Duffecy; M Berendson; I Cheung Mason; E Lattie; N Manalo
Journal:  Behav Sleep Med       Date:  2021-03-23       Impact factor: 2.964

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.