The association between mindfulness and social media addiction among nurses: A cross-sectional study
Open accessAbstract
Background: With the increasing use of social media, social media addiction (SMA) has become a pressing issue and is associated with multiple negative outcomes. Lack of mindfulness has been shown to be associated with an increased risk of SMA, yet such an association has never been explored among nurses in China. Methods From December 4, 2022 to March 14, 2023, a cross-sectional study was conducted in 29 hospitals in Hunan Province, China. A total of 1,141 nurses were recruited and completed the online questionnaires. Mindfulness and SMA were assessed by the Mindful Awareness Attention Scale (MAAS) and Social Networking Service Addiction Scale (SNSAS), respectively. Multivariate linear regression analysis was used to explore the association between mindfulness and SMA, and other influencing factors of SMA. Results The nurses had an average score of 68.02 ± 11.86 for mindfulness and 46.15 ± 15.09 for SMA. The results of linear regression analysis showed that lower levels of mindfulness (β = –0.06, p < .001), shorter working years (β = –0.21, p = .014), and experiencing more frequent workplace violence (β = 0.21, p =.007) were associated with an increased risk of SMA. Conclusions/Application to Practice Our study shows a generally moderate level of SMA among nurses in Hunan Province, which was influenced by mindfulness, working years, and workplace violence. Mindfulness-based interventions may be effective interventions to alleviate nurses’ SMA. Special attention should also be paid to nurses with shorter working years and those who experienced workplace violence.
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Cites
The benefits of being present: Mindfulness and its role in psychological well-being
Brown, K. W., & Ryan, R. M. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.84.4.822 · Cited by 13,448 · see citing works
Using Self-Report Assessment Methods to Explore Facets of Mindfulness
Baer, R. A., Smith, G. T., Hopkins, J., Krietemeyer, J., & Toney, L. (2006) · Assessment · doi:10.1177/1073191105283504 · Cited by 7,511 · cited 1× · see citing works
“Mindfulness refers to the state of ‘bringing one’s complete attention to the experiences occurring in the present moment, in a non-judgmental or accepting way’ (Baer et al., 2006).”
Mindfulness: A proposed operational definition.
Bishop, S. R., Lau, M., Shapiro, S., Carlson, L., Anderson, N. D., Carmody, J., Segal, Z. V., Abbey, S., Speca, M., Velting, D., et al. (2004) · Clinical Psychology: Science and Practice · doi:10.1093/clipsy.bph077 · Cited by 7,234 · cited 1× · see citing works
“Mindfulness has shown beneficial effects in improving many health conditions, including depression, anxiety, stress, insomnia, addiction, mental illness, pain, hypertension, weight control, cancer-related symptoms, and prosocial behavior (Bishop et al., 2004).”
Preventing problematic internet use during the COVID-19 pandemic: Consensus guidance
Király, O., Potenza, M. N., Stein, D. J., King, D. L., Hodgins, D. C., Saunders, J. B., Griffiths, M. D., Gjoneska, B., Billieux, J., Brand, M., et al. (2020) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2020.152180 · Cited by 820 · see citing works
Hawi, N. S., & Samaha, M. (2017) · Social Science Computer Review · doi:10.1177/0894439316660340 · Cited by 618 · see citing works
Sun, Y., & Zhang, Y. (2021) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106699 · Cited by 509 · see citing works
Internet use and psychological well-being: A meta-analysis
Huang, C. (2010) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2009.0217 · Cited by 359 · see citing works
Xanidis, N., & Brignell, C. M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.09.004 · Cited by 267 · see citing works
Müller, K. W., Dreier, M., Beutel, M. E., Duven, E., Giralt, S., & Wölfling, K. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.09.007 · Cited by 263 · see citing works
Brailovskaia, J., Schillack, H., & Margraf, J. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106511 · Cited by 244 · see citing works
Life satisfaction: A key to managing internet & social media addiction
Longstreet, P., & Brooks, S. L. (2017) · Technology in Society · doi:10.1016/j.techsoc.2017.05.003 · Cited by 240 · see citing works
Sriwilai, K., & Charoensukmongkol, P. (2016) · Stress and Health · doi:10.1002/smi.2637 · Cited by 200 · see citing works
Apaolaza, V., Hartmann, P., D'Souza, C., & Gilsanz, A. (2019) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2018.0681 · Cited by 189 · cited 1× · see citing works
“A possible explanation may be that individuals with lower levels of mindfulness may also have lower self-control, which in turn increases social anxiety and leads to compulsive use of social media (Apaolaza et al., 2019).”
From attachment to addiction: The mediating role of need satisfaction on social networking sites
Chen, A. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.03.034 · Cited by 169 · see citing works
Exploring the mechanism of social media addiction: an empirical study from WeChat users
Cao, X., Gong, M., Yu, L., & Dai, B. (2020) · Internet Research · doi:10.1108/intr-08-2019-0347 · Cited by 158 · see citing works
Excessive dependence on mobile social apps: A rational addiction perspective
Kwon, H. E., So, H., Han, S. P., & Oh, W. (2016) · Information Systems Research · doi:10.1287/isre.2016.0658 · Cited by 156 · see citing works
Mindfulness-based programs for substance use disorders: a systematic review of manualized treatments
Korecki, J. R., Schwebel, F. J., Votaw, V. R., & Witkiewitz, K. (2020) · Substance Abuse Treatment, Prevention, and Policy · doi:10.1186/s13011-020-00293-3 · Cited by 145 · see citing works
Stănculescu, E., & Griffiths, M. D. (2022) · Telematics and Informatics · doi:10.1016/j.tele.2022.101879 · Cited by 119 · see citing works
Risk Factors Associated With Social Media Addiction: An Exploratory Study
Zhao, J., Jia, T., Wang, X., Xiao, Y., & Wu, X. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.837766 · Cited by 97 · see citing works
Hjetland, G. J., Skogen, J. C., Hysing, M., & Sivertsen, B. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.794307 · Cited by 92 · see citing works
Brailovskaia, J., Teismann, T., & Margraf, J. (2020) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2019.0563 · Cited by 75 · see citing works
Liu, Q., Xu, X.-P., Yang, X., Xiong, J., & Hu, Y. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19052593 · Cited by 58 · see citing works
Gong, M., Yu, L., & Luqman, A. (2019) · Behaviour and Information Technology · doi:10.1080/0144929x.2019.1653993 · Cited by 57 · see citing works
Jones, A., Hook, M., Podduturi, P., McKeen, H., Beitzell, E., & Liss, M. (2021) · Personality and Individual Differences · doi:10.1016/j.paid.2021.111284 · Cited by 52 · see citing works
Social media ‘addiction’: The absence of an attentional bias to social media stimuli
Thomson, K., Hunter, S. C., Butler, S. H., & Robertson, D. J. (2021) · Journal of Behavioral Addictions · doi:10.1556/2006.2021.00011 · Cited by 43 · see citing works
Mazzoni, E., Cannata, D., & Baiocco, L. (2016) · Behaviour and Information Technology · doi:10.1080/0144929x.2016.1159249 · Cited by 35 · see citing works
The Impact of Workplace Violence on Headache and Sleep Problems in Nurses
Magnavita, N., Mele, L., Meraglia, I., Merella, M., Vacca, M. E., Cerrina, A., Gabriele, M., Labella, M., Soro, M. T., Ursino, S., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192013423 · Cited by 32 · see citing works
Eşkısu, M., Çam, Z., Geli̇bolu, S., & Rasmussen, K. R. (2020) · Studia Psychologica · doi:10.31577/sp.2020.03.801 · Cited by 31 · see citing works
Social media addiction and work engagement among nurses
HOŞGÖR, H., Dörttepe, Z. Ü., & Memiş, K. (2021) · Perspectives In Psychiatric Care · doi:10.1111/ppc.12774 · Cited by 24 · see citing works
Luo, A., Kong, W., He, H., Li, Y., & Xie, W. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.888714 · Cited by 24 · see citing works
Self-citationDemystifying the Dark Side of Social Networking Sites through Mindfulness
Hassan, Y., & Pandey, J. (2021) · AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems · doi:10.3127/ajis.v25i0.2923 · Cited by 18 · see citing works
Luteijn, I., VanDerNagel, J., van Duijvenbode, N., de Haan, H. A., Poelen, E. A. P., & Didden, R. (2020) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2020.103753 · Cited by 14 · see citing works
A Review of Mindfulness and Social Media Excessive Use
Sun, X. (2022) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/assehr.k.220105.238 · Cited by 13 · see citing works
Developing a mobile SNS addiction scale utilizing factor analysis and the Rasch model
Wang, X. (2019) · Online Information Review · doi:10.1108/oir-10-2018-0300 · Cited by 8 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- bph077 · DOI · Paper page
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Sorted by citations
AlYousef, N. H., Alhakeem, F. M., AlNasser, K. A., AlSinan, Z. H., Alessa, Z. K., AlDawood, F. M., Shafey, M. M., & Al-Johani, W. M. (2025) · Journal of Family and Community Medicine · doi:10.4103/jfcm.jfcm_223_25 · Cited by 4 · see citing works
Brailovskaia, J., Brämig, S., Precht, L.-M., Frewer, A.-L., Lansu, A. M., Sathananthan, A., Schillack, H., & Margraf, J. (2026) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2026.100989 · Cited by 2 · see citing works
When Interaction Becomes Addiction: The Psychological Consequences of Instagram Dependency
Herrero-Báguena, B., Blas, S. S., & Buzova, D. (2025) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer20030195 · Cited by 5 · see citing works
Gezgin, D. M. (2025) · Research Square · doi:10.21203/rs.3.rs-6322544/v1 · Cited by 3 · see citing works
The Association Between Mindfulness and Social Media Addiction Among Nurses: Comment
Daungsupawong, H., & Wiwanitkit, V. (2025) · Workplace Health & Safety · doi:10.1177/21650799251333070
The Impact of Social Media Addiction on Employee Performance Sleep Deprivation As a Mediator
Shoaib, M., Ilyas, S., & Malik, F. A. (2025) · Journal of Political Stability Archive · doi:10.63468/jpsa.3.3.32 · Cited by 1 · see citing works
Özsoy, T. (2025) · Akademik İncelemeler Dergisi · doi:10.17550/akademikincelemeler.1677695
Özer, D., & Altun, Ö. Ş. (2026) · Psychological Reports · doi:10.1177/00332941261484082
- Authors
- Kang, C., Wang, H., Li, J., Zhang, Q., & Xie, W.
- Affiliations
- Central South University (CN)
- Third Xiangya Hospital (CN)
- Corresponding author
- Zhang, Qiuxiang
- Xie, Wenzhao
- Venue
- Workplace Health & Safety
- Publisher
- SAGE Publications
- Published
- 2025-02-19
- Volume
- 73
- Issue
- 3
- Pages
- 150-157
- ISSN
- 2165-0799 (ISSN-L)
- 2165-0969
- OpenAlex
- W4407747264
- Cited by
- 8
- References
- 33
- Citations by year
- 2026: 2 · 2025: 6
- FWCI
- 13.78
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Workplace Health & Safety (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Natural Science Foundation of Hunan Province (Grant No. 2021JJ70140)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Social Sciences › Demography › Cyberloafing and Workplace Behavior
- Keywords
- mindfulness, social media addiction, nurses, workplace violence, work experience, mindfulness-based interventions, occupational health
- MeSH terms
- Adult, China, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Nurses, Surveys and Questionnaires, Behavior, Addictive, Social Media, Mindfulness
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