Advertisement
Research Article| Volume 5, ISSUE 4, P401-408, August 2019

Download started.

Ok

Reducing late evening bedtime electronic device intentions and use among young adults

Published:April 26, 2019DOI:https://doi.org/10.1016/j.sleh.2019.02.005

      Abstract

      Objectives

      We examined (Study #1) the association of attitudes, subjective norms (SN), and perceived behavioral control (PBC) with intentions to reduce late evening electronic device (e-device) use and (Study #2) the impact of a brief theory-driven message on reducing the use.

      Methods

      Young adults aged 18-30 years participated in Internet surveys to assess sleep quality, attitudes, SN, PBC, and intentions to reduce and patterns of late evening e-device use. In Study #1, participants (n = 160) were randomized to receive a Theory of Planned Behavior (TPB)–driven message based on information from the National Sleep Foundation and were assessed for intentions to decrease late evening e-device use immediately afterward. In Study #2, participants (n = 148) were given the same message but were assessed for behaviors 24 hours–1 week afterward.

      Results

      In Study #1, regressions indicated that less supportive attitudes and higher PBC were associated with higher intention to reduce e-device use at baseline (P < .01); intentions and PBC were associated with current use (P < .01). Participants receiving the message were more likely to reduce late evening e-device use intentions (adjusted odds ratio: 2.30, 95% confidence interval: 1.06-4.99). In Study #2, those receiving the intervention with attitudes consistent with limiting use were more likely to reduce use 24 hours–1 week after the intervention (adjusted odds ratio: 3.13, 95% confidence interval: 1.10-8.91).

      Conclusion

      Attitudes and PBC were associated with intention to reduce late evening e-device use, and our brief TPB-driven message benefited young adults with attitudes inconsistent with use. TPB-based interventions can decrease late evening e-device use and promote better quantity and quality of sleep.

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Sleep Health: Journal of the National Sleep Foundation
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Ojile J.
        National Sleep Foundation sets the standard for sleep as a vital sign of health.
        Sleep Health. 2017; 3: 226
        • Ayas N.T.
        • White D.P.
        • Manson J.E.
        • et al.
        A prospective study of sleep duration and coronary heart disease in women.
        Arch Intern Med. 2003; 163: 205-209
        • Lockley S.W.
        • Cronin J.W.
        • Evans E.E.
        • et al.
        Effect of reducing interns' weekly work hours on sleep and attentional failures.
        N Engl J Med. 2004; 351: 1829-1837
        • Bixler E.
        Sleep and society: AN epidemiological perspective.
        Sleep Med. 2009; 10: S3-S6
        • Gradisar M.
        • Wolfson A.R.
        • Harvey A.G.
        • et al.
        The sleep and technology use of americans: Findings from the National Sleep Foundation's 2011 sleep in america poll.
        J Clin Sleep Med. 2013; 9: 1291-1299
        • National Sleep Foundation (NSF)
        2018 Sleep in America® Poll – Sleep Prioritization and Personal Effectiveness Sleep Health.
        Journal of the National Sleep Foundation. 2018;
        • American Academy of Neurology Institute
        Understanding sleep disorders.
        • Irish L.A.
        • Kline C.E.
        • Gunn H.E.
        • et al.
        The role of sleep hygiene in promoting public health: a review of empirical evidence.
        Sleep Med Rev. 2015; 22: 23-36
        • Caia J.
        • Scott T.J.
        • Halson S.L.
        • et al.
        The influence of sleep hygiene education on sleep in professional rugby league athletes..
        Sleep Health. 2018; 4: 364-368
        • Mitler M.M.
        • Dement W.C.
        • Dinges D.F.
        Sleep medicine, public policy, and public health..
        Principles and Practice of Sleep Medicine. 2000; 2: 453-462
        • Grandner M.A.
        • Gallagher R.
        • Gooneratne N.S.
        The use of technology at night: Impact on sleep and health.
        J Clin Sleep Med. 2013; 9: 1301-1302
        • Exelmans L.
        • Van den Bulck J.
        Bedtime mobile phone use and sleep in adults.
        Soc Sci Med. 2016; 148: 93-101
        • Orzech K.M.
        • Grandner M.A.
        • Roane B.M.
        • et al.
        Digital media use in the 2 h before bedtime is associated with sleep variables in university students.
        Comput Hum Behav. 2016; 55: 43-50
        • Fossum I.N.
        • Nordnes L.T.
        • Storemark S.S.
        • et al.
        The association between use of electronic media in bed before going to sleep and insomnia symptoms, daytime sleepiness, morningness, and chronotype.
        Behav Sleep Med. 2014; 12: 343-357
        • Chang A.-M.
        • Aeschbach D.
        • Duffy J.F.
        • et al.
        Evening use of light-emitting ereaders negatively affects sleep, circadian timing, and next-morning alertness.
        Proc Natl Acad Sci. 2015; 112: 1232-1237
        • Rosen L.D.
        • Mark Carrier L.
        • Cheever N.A.
        Facebook and texting made me do it: Media-induced task-switching while studying.
        Comput Hum Behav. 2013; 29: 948-958
        • National Sleep Foundation (NSF)
        Electronics in the bedroom: why it's necessary to turn off before you tack in.
        • Lippke S.
        • Ziegelmann J.P.
        Theory-based health behavior change: developing, testing, and applying theories for evidence-based interventions.
        Appl Psychol. 2008; 57: 698-716
        • Noar S.M.
        • Benac C.N.
        • Harris M.S.
        Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions.
        Psychol Bull. 2007; 133: 673-693
        • Knowlden A.P.
        • Sharma M.
        • Bernard A.L.
        A theory of planned behavior research model for predicting the sleep intentions and behaviors of undergraduate college students.
        J Prim Prev. 2012; 33: 19-31
        • Kor K.
        • Mullan B.A.
        Sleep hygiene behaviours: An application of the theory of planned behaviour and the investigation of perceived autonomy support, past behaviour and response inhibition.
        Psychol Health. 2011; 26: 1208-1224
        • Ajzen I.
        Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior.
        J Appl Soc Psychol. 2002; 32: 665-683
        • Webb T.L.
        • Joseph J.
        • Yardley L.
        • et al.
        Using the internet to promote health behavior change: A systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy.
        J Med Internet Res. 2010; 12: e4
        • Norman P.
        • Conner M.
        Predicting Health Behaviour: Research and Practice With Social Cognition Models.
        Open University Press, 2005
        • Tavernier R.
        • Adam E.K.
        Text message intervention improves objective sleep hours among adolescents: the moderating role of race-ethnicity.
        Sleep Health. 2017; 3: 62-67
        • Ajzen I.
        Theories of cognitive self-regulationthe theory of planned behavior.
        Organ Behav Hum Decis Process. 1991; 50: 179-211
        • Francis J.
        • Eccles M.P.
        • Johnston M.
        • et al.
        Constructing Questionnaires Based on the Theory of Planned Behaviour: A Manual for Health Services Researchers.
        Centre for Health Services Research, University of Newcastle Upon Tyne, 2004
        • Benloucif S.
        • Guico M.J.
        • Reid K.J.
        • et al.
        Stability of melatonin and temperature as circadian phase markers and their relation to sleep times in humans.
        J Biol Rhythm. 2005; 20: 178-188
        • Buysse D.J.
        • Reynolds C.F.
        • Monk T.H.
        • et al.
        The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research.
        Psychiatry Res. 1989; 28: 193-213
        • Hirshkowitz M.
        • Whiton K.
        • Albert S.M.
        • et al.
        National Sleep Foundation's sleep time duration recommendations: methodology and results summary.
        Sleep Health. 2015; 1: 40-43
        • Altun I.
        • Cınar N.
        • Dede C.
        The contributing factors to poor sleep experiences in according to the university students: a cross-sectional study.
        J Res Med Sci. 2012; 17: 557-561
        • Pilkonis P.A.
        • Choi S.W.
        • Reise S.P.
        • et al.
        Item banks for measuring emotional distress from the Patient-Reported Outcomes Measurement Information System (PROMIS®): depression, anxiety, and anger.
        Assessment. 2011; 18: 263-283
        • Kooler J.M.
        • Bruvold W.H.
        Evaluation of an educational intervention upon knowledge, attitudes, and behavior concerning drinking/drugged driving.
        J Drug Educ. 1992; 22: 87-100
        • American Academy of Pediatrics
        Media and children communication toolkit.
        • Karr Douglas
        How women and men use social media and mobile differently.
        • Rosen L.
        • Carrier L.M.
        • Miller A.
        • et al.
        Sleeping with technology: cognitive, affective, and technology usage predictors of sleep problems among college students.
        Sleep Health. 2016; 2: 49-56
        • Pew Reseach Center
        Social media fact sheet.
        http://www.pewinternet.org/fact-sheet/social-media/
        Date: 2017
        Date accessed: April 30, 2017
        • Lenhart Amanda
        Cell phones and American adults.
        • Emanuel A.S.
        • McCully S.N.
        • Gallagher K.M.
        • et al.
        Theory of planned behavior explains gender difference in fruit and vegetable consumption.
        Appetite. 2012; 59: 693-697
        • Blanchard C.M.
        • Kupperman J.
        • Sparling P.
        • et al.
        Ethnicity as a moderator of the theory of planned behavior and physical activity in college students.
        Res Q Exerc Sport. 2007; 78: 531-541
        • Ajzen I.
        • Czasch C.
        • Flood M.G.
        From intentions to behavior: Implementation intention, commitment, and conscientiousness1.
        J Appl Soc Psychol. 2009; 39: 1356-1372