The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Association between Facebook Dependence and Poor Sleep Quality: A Study in a Sample of Undergraduate Students in Peru
Open accessAbstract
OBJECTIVES: Internet can accelerate information exchange. Social networks are the most accessed especially Facebook. This kind of networks might create dependency with several negative consequences in people's life. The aim of this study was to assess potential association between Facebook dependence and poor sleep quality. METHODOLOGY/PRINCIPAL FINDINGS: A cross sectional study was performed enrolling undergraduate students of the Universidad Peruana de Ciencias Aplicadas, Lima, Peru. The Internet Addiction Questionnaire, adapted to the Facebook case, and the Pittsburgh Sleep Quality Index, were used. A global score of 6 or greater was defined as the cutoff to determine poor sleep quality. Generalized linear model were used to determine prevalence ratios (PR) and 95% confidence intervals (95%CI). A total of 418 students were analyzed; of them, 322 (77.0%) were women, with a mean age of 20.1 (SD: 2.5) years. Facebook dependence was found in 8.6% (95% CI: 5.9%-11.3%), whereas poor sleep quality was present in 55.0% (95% CI: 50.2%-59.8%). A significant association between Facebook dependence and poor sleep quality mainly explained by daytime dysfunction was found (PR = 1.31; IC95%: 1.04-1.67) after adjusting for age, sex and years in the faculty. CONCLUSIONS: There is a relationship between Facebook dependence and poor quality of sleep. More than half of students reported poor sleep quality. Strategies to moderate the use of this social network and to improve sleep quality in this population are needed.
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“A number of studies (Andreassen, 2015; Kim, Park, Kim, Jung, Lim, & Kim, 2010; Koc & Gulyagci, 2013; Wolniczak et al., 2013) found that compared to nonaddicts, adolescents who had a social media addiction, as well as those with other forms of internet addiction, suffered from poor sleep quality, used more alcohol and tobacco, ate irregularly, and had poor diets.”
From Ethics of the Attention Economy: The Problem of Social Media Addiction (2021) · cites this paper as Wolniczak et al., 2013
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The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234
Development of a Facebook Addiction Scale
Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012) · Psychological Reports · doi:10.2466/02.09.18.pr0.110.2.501-517 · Cited by 1,884
Sleep loss, learning capacity and academic performance
CURCIO, G., FERRARA, M., & DEGENNARO, L. (2006) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2005.11.001 · Cited by 1,310
Psychological predictors of young adults’ use of social networking sites
Wilson, K., Fornasier, S., & White, K. M. (2010) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2009.0094 · Cited by 658
Elphinston, R. A., & Noller, P. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0318 · Cited by 596 · cited 1×
“Moreover, in some cases, the Facebook dependence has been associated with relationship frustration as well as the emergence of jealousy [25].”
Backgroundden Bulck, J. V. (2004) · SLEEP · doi:10.1093/sleep/27.1.101 · Cited by 594
Social Networks Among Men and Women: The Effects of Age and Socioeconomic Status
Ajrouch, K. J., Blandon, A. Y., & Antonucci, T. C. (2005) · The Journals of Gerontology Series B · doi:10.1093/geronb/60.6.s311 · Cited by 397
The risk factors of Internet addiction—A survey of university freshmen
Tsai, H. F., Cheng, S. H., Yeh, T. L., Shih, C.-C., Chen, K. C., Yang, Y. C., & Yang, Y. K. (2009) · Psychiatry Research · doi:10.1016/j.psychres.2008.01.015 · Cited by 368
Internet overuse and excessive daytime sleepiness in adolescents
Choi, K., Son, H., Park, M., Han, J.-K., Kim, K., Lee, B., & Gwak, H. (2009) · Psychiatry and Clinical Neurosciences · doi:10.1111/j.1440-1819.2009.01925.x · Cited by 363
Munezawa, T., Kaneita, Y., Osaki, Y., Kanda, H., Minowa, M., Suzuki, K., Higuchi, S., Mori, J., Yamamoto, R., & Ohida, T. (2011) · SLEEP · doi:10.5665/sleep.1152 · Cited by 358
Research works printed but not linked: 3
- A Jiménez-Genchi, 2008, Confiabilidad y análisis factorial de la versión en español del índice de calidad de sueño de Pittsburgh en pacientes psiquiátricos, Gac Med Mex, 144, 491
- A Luengo, 2004, Addición a Internet: conceptualización y propuesta de intervención, Rev Prof Esp Terap Cognitivo-conductual, 2, 22
- S Schmit, 2011, [Evaluation of the characteristics of addiction to online video games among adolescents and young adults], Encephale, 37, 217
Cited by
Sorted by citations
Social networking sites and addiction: Ten lessons learned
Kuss, D., & Griffiths, M. (2017) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph14030311 · Cited by 1,603
Online Social Network Site Addiction: A Comprehensive Review
Andreassen, C. S. (2015) · Current Addiction Reports · doi:10.1007/s40429-015-0056-9 · Cited by 1,212
Problematic social media use: Results from a large-scale nationally representative adolescent sample
Bányai, F., Zsila, Á., Király, O., Maraz, A., Elekes, Z., Griffiths, M. D., Andreassen, C. S., & Demetrovics, Z. (2017) · PLOS ONE · doi:10.1371/journal.pone.0169839 · Cited by 984
Social media addiction: Its impact, mediation, and intervention
Hou, Y., Xiong, D., Jiang, T., Song, L., & Wang, Q. (2019) · Cyberpsychology: Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2019-1-4 · Cited by 815
“It has been reported that social media addiction affects approximately 12% of users across social networking sites (Alabi, 2012; Wolniczak et al., 2013; Wu, Cheung, Ku, & Hung, 2013).”
BackgroundCha, S.-S., & Seo, B.-K. (2018) · Health Psychology Open · doi:10.1177/2055102918755046 · Cited by 592
Metadata
- Authors
- Wolniczak, I., Cáceres-DelAguila, J. A., Palma-Ardiles, G., Arroyo, K. J., Solís-Visscher, R., Paredes-Yauri, S., Mego-Aquije, K., & Bernabe-Ortiz, A.
- Affiliations
- Peruvian University of Applied Sciences (PE)
- Corresponding author
- Cáceres-DelAguila, José Alonso
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-03-12
- Volume
- 8
- Issue
- 3
- Pages
- e59087
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3595202
- OpenAlex
- W2118198333
- Cited by
- 265
- References
- 31
- Citations by year
- 2026: 7 · 2025: 16 · 2024: 21 · 2023: 33 · 2022: 31 · 2021: 30 · 2020: 26 · 2019: 23 · 2018: 24 · 2017: 18 · 2016: 12 · 2015: 15 · 2014: 7 · 2013: 2
- FWCI
- 37.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
- Figshare (cc-by)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Communication › Digital Media and Philosophy
- Keywords
- social media addiction, sleep quality, daytime dysfunction, undergraduate students, internet addiction, social networks
- MeSH terms
- Adolescent, Adult, Cross-Sectional Studies, Female, Humans, Male, Peru, Sleep, Sleep Wake Disorders, Students, Young Adult, Social Media
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