Literature DB >> 32022893

Waking to use technology at night, and associations with driving and work outcomes: a screenshot of Australian adults.

Sarah L Appleton1,2,3, Amy C Reynolds4,5, Tiffany K Gill2, Yohannes A Melaku1,2, Robert Adams1,2.   

Abstract

The use of smartphones/electronic devices and their relationship with outcomes are understudied in adult populations. We determined daytime functional correlates of using technology during the night in a population sample of Australian adults. A cross-sectional, national online survey of sleep health was conducted in 2019 (n = 1984, 18-90 years). Nocturnal technology use was assessed with: "In the past seven days, how often did you wake or were woken to send or receive text messages, emails or other electronic communications?" Waking to use technology during all/most nights was reported by 4.9%, with 13.8% reporting two to three nights per week, and 12.7% reporting just one night per week. Technology users were more likely to be younger, employed, experience financial stress, and speak English as a second language. In adjusted analyses, compared to no use, technology use at least two to three nights per week was significantly associated with daytime problems (sleepiness, fatigue and impaired mood, motivation, and attention) and was more evident in participants not reporting/perceiving a sleep problem. Technology use was independently associated with at least one drowsy driving-related motor vehicle accidents/near miss per month (odds ratio [OR] = 6.4, 95% CI = 3.8 to 10.7) and with missing work (OR = 4.8, 95% CI: 3.2 to 7.2) and making errors at work (OR = 2.2, 95% CI = 1.5 to 3.3) at least 1 day in the past 3 months due to sleepiness/sleep problem. These associations were not significantly modified by age. Public health implications of waking to engage with electronic devices at night may be significant in terms of safety, productivity, and well-being. Limiting sleep-disrupting technology use will require innovative language-diverse strategies targeted broadly across age groups. © Sleep Research Society 2020. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.

Entities:  

Keywords:  adults; cell phone; daytime dysfunction; epidemiological study; mobile phone; motor vehicle accidents; text messaging; work absenteeism

Mesh:

Year:  2020        PMID: 32022893     DOI: 10.1093/sleep/zsaa015

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  6 in total

1.  An evaluation of the impact of the Coronavirus (COVID 19) pandemic on interventional radiographers' wellbeing.

Authors:  Michelle Murphy; Niamh Moore; Bríd Leamy; Andrew England; Owen J O'Connor; Mark F McEntee
Journal:  J Med Imaging Radiat Sci       Date:  2022-05-18

2.  Bedtime screen use in middle-aged and older adults growing during pandemic.

Authors:  Madeleine M Grigg-Damberger; Kimberly K Yeager
Journal:  J Clin Sleep Med       Date:  2020-12-17       Impact factor: 4.062

3.  Comorbidities and quality of life in Australian men and women with diagnosed and undiagnosed high-risk obstructive sleep apnea.

Authors:  Sowmya Krishnan; Ching Li Chai-Coetzer; Nicole Grivell; Nicole Lovato; Sutapa Mukherjee; Andrew Vakulin; Robert J Adams; Sarah L Appleton
Journal:  J Clin Sleep Med       Date:  2022-07-01       Impact factor: 4.324

4.  Prevalence of Probable Shift Work Disorder in Non-Standard Work Schedules and Associations with Sleep, Health and Safety Outcomes: A Cross-Sectional Analysis.

Authors:  Amy C Reynolds; Sally A Ferguson; Sarah L Appleton; Meagan E Crowther; Yohannes Adama Melaku; Tiffany K Gill; Shantha M W Rajaratnam; Robert J Adams
Journal:  Nat Sci Sleep       Date:  2021-05-31

5.  Who is 'on-call' in Australia? A new classification approach for on-call employment in future population-level studies.

Authors:  Madeline Sprajcer; Sarah L Appleton; Robert J Adams; Tiffany K Gill; Sally A Ferguson; Grace E Vincent; Jessica L Paterson; Amy C Reynolds
Journal:  PLoS One       Date:  2021-11-04       Impact factor: 3.240

6.  Insomnia Prevalence Varies with Symptom Criteria Used with Implications for Epidemiological Studies: Role of Anthropometrics, Sleep Habit, and Comorbidities.

Authors:  Sarah L Appleton; Amy C Reynolds; Tiffany K Gill; Yohannes Adama Melaku; Robert J Adams
Journal:  Nat Sci Sleep       Date:  2022-04-21
  6 in total

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