PDF herunterladen
CC BY-NC-ND 4.0 · Sleep Sci 2018; 11(02): 69-73
DOI: 10.5935/1984-0063.20180015
SHORT COMMUNICATION

Withdrawn and wired: Problematic internet use accounts for the link of neurotic withdrawal to sleep disturbances

Anne Danielle Herlache
1   Internal Revenue Service, Research Division - Washington - D.C. - USA.
,
Kathryn M. Lang
2   Western Carolina University, Psychology - Cullowhee - NC - USA.
,
Zlatan Krizan
3   Iowa State University, Psychology - AMes - IA - USA.
› Institutsangaben
› Weitere Informationen
Auch verfügbar auf
   Lizenzen und Reprints

Objective

Although neuroticism is the strongest personality predictor of sleep disturbance, it is not clear whether dysphoric (Withdrawal) or angry (Volatility) aspect of neuroticism is more important and whether problematic technology use plays an intervening role. To this end, this study examined distinct contributions of neurotic withdrawal and volatility in predicting self-reported sleep disturbance while testing the mediating role of problematic internet use. Methods: One-hundred and fourty-three college students completed an online survey that included measures of neuroticism, sleep quality, and problematic internet use. Results: Although both aspects of neuroticism predicted poor sleep, Withdrawal emerged as a stronger and the only unique predictor. Furthermore, problematic internet use explained a portion of Withdrawal’s relationship to worse sleep, especially nighttime and daytime disturbances. Discussion: The findings suggest that dysphoric rather than angry features of neuroticism are more important for sleep problems and that the problematic use of modern technology may be an important contributing factor.

Sleep Wake Disorders - Sleep - Internet - Personality


Publikationsverlauf

Eingereicht: 15. Februar 2018

Angenommen: 26. März 2018

Artikel online veröffentlicht:
13. Oktober 2023

© 2023. Brazilian Sleep Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Thieme Revinter Publicações Ltda.
Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil

 

  • REFERENCES

  • 1 Thomas M, Sing H, Belenky G, Holcomb H, Mayberg H, Dannals R, et al. Neural basis of alertness and cognitive performance impairments during sleepiness. I. Effects of 24 h of sleep deprivation on waking human regional brain activity. J Sleep Res. 2000;9(4):335-52.
  • 2 Lim J, Dinges DF. A meta-analysis of the impact of short-term sleep deprivation on cognitive variables. Psychol Bull. 2010;136(3):375-89.
  • 3 Taylor DJ, Vatthauer KE, Bramoweth AD, Ruggero C, Roane B. The role of sleep in predicting college academic performance: is it a unique predictor? Behav Sleep Med. 2013;11(3):159-72.
  • 4 Hoshino K, Pasqualini JC, D’Oliveira EP, Silva CP, Modesto AE, Silveira RSM. Is sleep deprivation involved in domestic violence? Sleep Sci. 2009;2(1):14-20.
  • 5 Krizan Z, Herlache AD. Sleep disruption and aggression: Implications for violence and its prevention. Psychol Violence. 2016;6(4):542-52.
  • 6 Calkins AW, Hearon BA, Capozzoli MC, Otto MW. Psychosocial predictors of sleep dysfunction: the role of anxiety sensitivity, dysfunctional beliefs, and neuroticism. Behav Sleep Med. 2013;11(2):133-43.
  • 7 Duggan KA, Friedman HS, McDevitt EA, Mednick SC. Personality and healthy sleep: The importance of conscientiousness and neuroticism. PloS One. 2014;9(3):e90628.
  • 8 Singareddy R, Vgontzas AN, Fernandez-Mendoza J, Liao D, Calhoun S, Shaffer ML, et al. Risk factors for incident chronic insomnia: a general population prospective study. Sleep Med. 2012;13(4):346-53.
  • 9 Twenge J, Krizan Z, Hisler G. Decreases in self-reported sleep duration among U.S. adolescents 2009-2015 and association with new media screen time. Sleep Med. 2017;39:47-53.
  • 10 DeYoung CG, Quilty LC. Peterson JB. Between facets and domains: 10 aspects of the Big Five. J Pers Soc Psychol. 2007;93(5):880-96.
  • 11 Saucier G, Goldberg LR, Institute OR. Lexical studies of indigenous personality factors: premises, products, and prospects. J Pers. 2001;69(6):847-79.
  • 12 Kessler RC, Petukhova M, Zaslavsky AM. The role of latent internalizing and externalizing predispositions in accounting for the development of comorbidity among common mental disorders. Curr Opin Psychiatry. 2011;24(4):307-12.
  • 13 Cunningham WA, Arbuckle NL, Jahn A, Mowrer SM, Abduljalil AM. Aspects of neuroticism and the amygdala: chronic tuning from motivational styles. Neuropsychologia. 2010;48(12):3399-404.
  • 14 Danielsson NS, Jansson-Frojmark M, Linton SJ, Jutengren G, Stattin H. Neuroticism and sleep-onset: What is the long-term connection? Pers Individ Dif. 2010;48(4):463-8.
  • 15 Tavernier R, Choo SB, Grant K, Adam EK. Daily affective experiences predict objective sleep outcomes among adolescents. J Sleep Res. 2016;25(1):62-9.
  • 16 Stephan Y, Sutin AR, Bayard S, Kri.an Z, Terracciano A. Personality and subjective sleep quality: Evidence from four prospective studies. Health Psychol. 2018;37(3):271-81.
  • 17 Lovato N, Gradisar M. A meta-analysis and model of the relationship between sleep and depression in adolescents: recommendations for future research and clinical practice. Sleep Med Rev. 2014;18(6):521-9.
  • 18 Kayi. AR, Satici SA, Yilmaz FM, .im.ek D, Ceyhan E, Bakio.lu F. Bigfive personality trait and internet addiction: A meta-analytic review. Comput Human Behav. 2016;63:35-40.
  • 19 Shapira NA, Goldsmith TD, Keck PE Jr, Khosla UM, McElroy SL. Psychiatric features of individuals with problematic internet use. J Affect Disord. 2000;57(1-3):267-72.
  • 20 Bruni O, Sette S, Fontanesi L, Baiocco R, Laghi F, Baumgartner E. Technology Use and Sleep Quality in Preadolescence and Adolescence. J Clin Sleep Med. 2015;11(12):1433-41.
  • 21 De Leo JA, Wulfert E. Problematic Internet use and other risky behaviors in college students: an application of problem-behavior theory. Psychol Addict Behav. 2013;27(1):133-41.
  • 22 Amiel T, Sargent SL. Individual differences in internet usage motives. Comput Human Behav. 2004;20(6):711-26.
  • 23 McHugh J, Lawlor B. Living alone does not account for the association between loneliness and sleep in older adults: Response to Hawkley, Preacher, and Cacioppo, 2010. Health Psychol. 2011;30(2):135; discussion 136.
  • 24 Thatcher A, Goolam S. Development and psychometric properties of the Problematic Internet use Questionnaire. S Afr J Psychol. 2005;35(4):793-809.
  • 25 Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193-213.
  • 26 Cole JC, Motivala SJ, Buysse DJ, Oxman MN, Levin MJ, Irwin MR. Validation of a 3-factor scoring model for the Pittsburgh sleep quality index in older adults. Sleep. 2006;29(1):112-6.
  • 27 Ko CH, Liu TL, Wang PW, Chen CS, Yen CF, Yen JY. The exacerbation of depression, hostility, and social anxiety in the course of Internet addiction among adolescents: a prospective study. Compr Psychiatry. 2014;55(6):1377-84.