The relevance of emotion regulation, procrastination, and perceived stress for problematic social media use in a representative sample of children and adolescents
Open accessAbstract
Social media use is widespread among minors. Already children and adolescents can be affected by a problematic social media use (PSMU). Deficits in emotion regulation are becoming increasingly important as an explanation for psychological strain. In the present study, associations between different facets of emotion regulation and PSMU in childhood and adolescence were investigated for the first time. In a representative sample of 1221 10- to 17-year-olds, standardized questionnaires were used to survey PSMU, emotion regulation, procrastination, and perceived stress. We used correlation and multivariable regression analyses to determine the associations. Bivariate statistically significant relations were found between PSMU and lower age, more pronounced problems in all six facets of emotion regulation, procrastination, and stress. In the multivariable regression, PSMU was associated with lower age, stronger impulse control difficulties, stronger difficulties engaging in goal-directed behavior, stronger procrastination and higher perceived stress (Corrected R2 = 0.26). For the first time, the importance of emotion regulation (especially difficulties in impulse control and goal-oriented behavior), procrastination and perceived stress for PSMU in childhood and adolescence was observed. In prevention measures, deficits in emotion regulation or coping strategies and dealing with procrastination could be addressed.
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Although there is a relationship between emotional regulation and procrastination, factors such as age and context can shape this connection.
“These results highlight that, although there is a relationship between emotional regulation and procrastination, factors such as age and context can shape this connection, underscoring the relevance of considering additional variables when addressing procrastination across different student populations. [64]”
From Social Media Addiction and Procrastination in Peruvian University Students: Exploring the Role of Emotional Regulation and Age Moderation (2025) · cites this paper as [64]
Cites
Gratz, K. L., & Roemer, L. (2004) · Journal of Psychopathology and Behavioral Assessment · doi:10.1023/b:joba.0000007455.08539.94 · Cited by 8,942 · see citing works
Emotion-regulation strategies across psychopathology: A meta-analytic review
Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010) · Clinical Psychology Review · doi:10.1016/j.cpr.2009.11.004 · Cited by 6,686 · see citing works
A cognitive-behavioral model of pathological Internet use
Davis, R. A. (2001) · Computers in Human Behavior · doi:10.1016/s0747-5632(00)00041-8 · Cited by 3,010 · see citing works
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.033 · Cited by 2,153 · see citing works
Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence.
Verduyn, P., Lee, D. S., Park, J., Shablack, H., Orvell, A., Bayer, J., Ybarra, O., Jonides, J., & Kross, E. (2015) · Journal of Experimental Psychology: General · doi:10.1037/xge0000057 · Cited by 988 · see citing works
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 · see citing works
Kaufman, E. A., Xia, M., Fosco, G., Yaptangco, M., Skidmore, C. R., & Crowell, S. E. (2016) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-015-9529-3 · Cited by 960 · see citing works
The social media disorder scale
van den Eijnden, R. J. J. M., Lemmens, J. S., & Valkenburg, P. M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.038 · Cited by 948 · see citing works
Emotion dysregulation and adolescent psychopathology: A prospective study
McLaughlin, K. A., Hatzenbuehler, M. L., Mennin, D. S., & Nolen-Hoeksema, S. (2011) · Behaviour Research and Therapy · doi:10.1016/j.brat.2011.06.003 · Cited by 850 · see citing works
Shensa, A., Escobar-Viera, C. G., Sidani, J. E., Bowman, N. D., Marshal, M. P., & Primack, B. A. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.03.061 · Cited by 469 · see citing works
Hormes, J. M., Kearns, B., & Timko, C. A. (2014) · Addiction · doi:10.1111/add.12713 · Cited by 398 · see citing works
Attachment and emotion regulation in substance addictions and behavioral addictions
Estévez, A., Jáuregui, P., Sánchez-Marcos, I., López-González, H., & Griffiths, M. D. (2017) · Journal of Behavioral Addictions · doi:10.1556/2006.6.2017.086 · Cited by 371 · see citing works
Pontes, H. M. (2017) · Journal of Behavioral Addictions · doi:10.1556/2006.6.2017.075 · Cited by 267 · see citing works
Atroszko, P. A., Balcerowska, J. M., Bereznowski, P., Biernatowska, A., Pallesen, S., & Schou Andreassen, C. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.04.001 · Cited by 238 · see citing works
Pontes, H. M., Taylor, M., & Stavropoulos, V. (2018) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2017.0609 · Cited by 163 · see citing works
Hou, X.-L., Wang, H.-Z., Guo, C., Gaskin, J., Rost, D. H., & Wang, J.-L. (2017) · Personality and Individual Differences · doi:10.1016/j.paid.2016.12.048 · Cited by 148 · see citing works
Hussain, Z., & Griffiths, M. D. (2021) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-019-00175-1 · Cited by 142 · see citing works
Raudsepp, L., & Kais, K. (2019) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2019.100925 · Cited by 114 · see citing works
Brailovskaia, J., Teismann, T., & Margraf, J. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.04.045 · Cited by 104 · see citing works
The Use of Digital Technologies, Impulsivity and Psychopathological Symptoms in Adolescence
Cerniglia, L., Guicciardi, M., Sinatra, M., Monacis, L., Simonelli, A., & Cimino, S. (2019) · Behavioral Sciences · doi:10.3390/bs9080082 · Cited by 74 · see citing works
Lian, S.-L., Sun, X.-J., Zhou, Z.-K., Fan, C.-Y., Niu, G.-F., & Liu, Q.-Q. (2018) · PLOS ONE · doi:10.1371/journal.pone.0208162 · Cited by 68 · see citing works
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Orben, A., Meier, A., Dalgleish, T., & Blakemore, S.-J. (2024) · Nature Reviews Psychology · doi:10.1038/s44159-024-00307-y · Cited by 220 · see citing works
Pagano, M., Bacaro, V., & Crocetti, E. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107813 · Cited by 74 · see citing works
Adolescent Social Media Use and Emotional Intelligence: A Systematic Review
Piccerillo, L., & Digennaro, S. (2025) · Adolescent Research Review · doi:10.1007/s40894-024-00245-z · Cited by 55 · see citing works
“…difficulties (r = 0.37, p < 0.01); difficulties engaging in goal-directed behavior (r = 0.40, p < 0.01), lack of emotional awareness (r = 0.13, p < 0.01) and lack of emotional clarity (r = 0.34, p < 0.01) were all positively correlated with problematic social media use (Wartberg et al., 2021).”
InfluentialCARATIQUIT, K. D., & CARATIQUIT, L. J. C. (2023) · Turkish Online Journal of Distance Education · doi:10.17718/tojde.1060563 · Cited by 38 · see citing works
“This finding is supported by other studies (Li et al, 2020; Aalbers et al., 2021; Wartberg et al, 2021).”
ResultIannattone, S., Mezzalira, S., Bottesi, G., Gatta, M., & Miscioscia, M. (2024) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-023-00700-0 · Cited by 28 · see citing works
Feyzi Behnagh, R., & Ferrari, J. R. (2022) · Current Psychology · doi:10.1007/s12144-021-02653-z · Cited by 28 · see citing works
Fortunato, L., Lo Coco, G., Teti, A., Bonfanti, R. C., & Salerno, L. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20156439 · Cited by 20 · see citing works
Todorovic, L., Bozhar, H., de Rooij, S. R., Bogaerts, A., Boyer, B. E., & Larsen, H. (2025) · Journal of Research on Adolescence · doi:10.1111/jora.70076 · Cited by 16 · see citing works
Fuentes Chavez, S. E., Vera-Calmet, V. G., Aguilar-Armas, H. M., Yglesias Alva, L. A., Arbulú Ballesteros, M. A., & Alegria Silva, C. E. (2025) · Healthcare · doi:10.3390/healthcare13091072 · Cited by 8 · see citing works
- Authors
- Wartberg, L., Thomasius, R., & Paschke, K.
- Affiliations
- MSH Medical School Hamburg – University of Applied Sciences and Medical University (DE)
- University Medical Center Hamburg-Eppendorf (DE)
- Corresponding author
- Wartberg, Lutz
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 121
- Pages
- 106788
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W3137174311
- Cited by
- 123
- References
- 21
- Citations by year
- 2026: 21 · 2025: 30 · 2024: 28 · 2023: 25 · 2022: 14 · 2021: 5
- FWCI
- 24.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Computers in Human Behavior (publishedVersion, cc-by)
- Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) (submittedVersion)
- Funders
- DAK-Gesundheit
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- social media addiction, emotion regulation, procrastination, perceived stress, children and adolescents, impulse control difficulties, goal-directed behavior, age differences, prevention
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