State Boredom and Procrastination in Gen Z: The Mediating Role of Social Media Addiction
Open accessAbstract
This study examined the mediating role of social media addiction in the relationship between state boredom and procrastination among Generation Z participants.
AI snapshot
Written from the paper’s full text.
TL;DR
This correlational study of 119 Generation Z participants found that state boredom, social media addiction, and procrastination were positively correlated, and that social media addiction partially mediated the boredom–procrastination relationship. The indirect effect accounted for 56.2% of the total effect, while the direct effect of state boredom on procrastination remained significant.
Key findings
- All three variables were positively correlated (r = .515–.702, p < .01): state boredom–social media addiction r = .515, state boredom–procrastination r = .553, and social media addiction–procrastination r = .702.
- Social media addiction partially mediated the relationship between state boredom and procrastination: indirect effect B = 3.53, p < .001, accounting for 56.2% of the total effect; direct effect B = 2.75, p = .017; total effect B = 6.29, p < .001.
- State boredom significantly predicted social media addiction (a = 2.80, p < .001), and social media addiction significantly predicted procrastination (b = 1.26, p < .001).
- Descriptives: state boredom M = 4.40, SD = 0.91; social media addiction M = 19.98, SD = 4.93; procrastination M = 41.49, SD = 10.71.
Methods
- Correlational design using convenience sampling of 119 Generation Z participants aged 14–29 years (91 females, 26 males, 1 other; 55 post-graduates, 45 undergraduates, 18 high school students).
- Measures: Multidimensional State Boredom Scale (MSBS; 29 items, Cronbach’s α = .95), Bergen Social Media Addiction Scale (BSMAS; 6 items, α = .88), and Pure Procrastination Scale (PPS; 12 items, α = .92).
- Main analysis: Pearson correlation and bootstrapped mediation analysis.
Limitations
- Stated by the paper: self-report measures may introduce response bias and social desirability effects; the correlational design prevents causal conclusions and longitudinal research is needed; convenience sampling limits generalizability; the sample was predominantly female (76.5%); and developmental/contextual differences between Generation Z age subgroups were not explored separately.
- Evident from the text: the cross-sectional correlational design and single convenience sample mean temporal ordering and causal mediation cannot be established, and the sample size (N = 119) may limit precision and broader generalizability.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
2 of 2 cited sources checked · 0 supported · 0 flagged · accuracy not yet measured
- Premisecitation
The mechanism through which state boredom translates into procrastination remains empirically underexplored, particularly among Generation Z.
“While prior research has independently established significant associations between boredom, social media addiction, and procrastination, the mechanism through which state boredom translates into procrastination remains empirically underexplored, particularly among Generation Z (Xie et al., 2023;Tang & He, 2025).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Xie et al., 2023 source
The Introduction (page unavailable) says little is known about how short-form video addiction affects academic procrastination; its boredom-proneness subsection identifies a separate gap about boredom proneness moderating effects on attentional control. The Methods (page unavailable) measure boredom proneness as a trait, not state boredom. Searches for a state-boredom-to-procrastination mechanism and Generation Z found no passage addressing the claimed gap. (LLM, conf=0.73)
Experimental — accuracy not yet measured - cites Tang & He, 2025 source
The Discussion section links social media addiction with academic procrastination and mentions boredom as a possible consequence of heavy social media use. It does not address whether the mechanism from state boredom to procrastination is empirically underexplored, particularly among Generation Z (searched: state boredom, Generation Z, research gap). No page numbers are available in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Findingown data
Participants reported a moderately high mean level of state boredom (M = 4.40, SD = 0.91).
“Participants reported a moderately high mean level of state boredom (M = 4.40, SD = 0.91)”
Quote in the paperNot a substantial claim - Findingown data
Participants' mean procrastination score was 41.49 (SD = 10.71), reflecting considerable procrastination tendencies within the sample.
“Additionally, the mean procrastination score (M = 41.49,SD = 10.71)reflected considerable procrastination tendencies within the sample.”
Quote in the paperNot a substantial claim - Findingown data
The direct effect of state boredom on procrastination remained significant after including the mediator (B = 2.75, p = .017).
“while the direct effect of state boredom on procrastination also remained significant (B = 2.75, p = .017).”
- Also stated in: § 3. Results · plain
“The direct effect of state boredom on procrastination remained statistically significant after including the mediator (c' = 2.75, p = .017)”
Quote in the paperSubstantial claim - Also stated in: § 3. Results · plain
- Findingown data
The indirect effect of state boredom on procrastination through social media addiction was significant (B = 3.53, p < .001).
“with a significant indirect effect (B = 3.53, p < .001)”
- Also stated in: § 4. Discussion · plain
“Indirect | 3.53 | 0.751 | 2.215 | 5.01 | 4.71 <.001 | 56.2”
Quote in the paperSubstantial claim - Also stated in: § 4. Discussion · plain
- Findingown data
State boredom was significantly positively correlated with procrastination (r = .553, p < .01).
“3. Procrastination | .553** | .702** | -”
- Also stated in: § Additional information · plain
“2. State boredom was significantly and positively correlated with procrastination.”
Quote in the paperSubstantial claim - Also stated in: § Additional information · plain
- Findingown data
Social media addiction was significantly positively correlated with procrastination (r = .702, p < .01).
“Additionally, social media addiction showed a strong positive correlation with procrastination (r = .702,p < .01)”
- Also stated in: § Additional information · plain
“3. Social media addiction was significantly and positively correlated with procrastination.”
Quote in the paperSubstantial claim - Also stated in: § Additional information · plain
- Findingown data
The indirect effect accounted for 56.2% of the total effect.
“accounting for 56.2% of the total effect”
Quote in the paperSubstantial claim - Findingown data
State boredom was significantly positively correlated with social media addiction (r = .515, p < .01).
“2. Social Media Addiction | .515** | - |”
- Also stated in: § Additional information · plain
“1. State boredom was significantly and positively correlated with social media addiction.”
Quote in the paperSubstantial claim - Also stated in: § Additional information · plain
- Findingown data
Social media addiction partially mediated the relationship between state boredom and procrastination among Generation Z.
“The findings further indicated that social media addiction partially mediated the relationship between state boredom and procrastination”
- Also stated in: § Additional information · plain
“4. Social media addiction partially mediated the relationship between state boredom and procrastination, accounting for 56.2 % of the total effect.”
Quote in the paperSubstantial claim- Rests on an assumption: Individuals experiencing boredom are motivated to seek sources of stimulation to alleviate discomfort.
- Rests on an assumption: Repeated reliance on social media as an emotional coping strategy may, over time, contribute to compulsive and uncontrolled usage.
- Also stated in: § Additional information · plain
- Findingown data
State boredom, social media addiction, and procrastination were significantly positively correlated with one another (r = .515-.702, p < .01) among Generation Z participants.
“Pearson correlation and bootstrapped mediation analysis revealed significant positive associations between all three variables (r = .515-.702, p < .01).”
Quote in the paperSubstantial claim - Findingown data
Social media addiction significantly predicted procrastination (b = 1.26, p < .001).
“Social media addiction, in turn, significantly predicted procrastination (b = 1.26, p < .001)”
Quote in the paperSubstantial claim - Study design and conductown data
The Multidimensional State Boredom Scale (MSBS) demonstrated excellent internal consistency in the present study (Cronbach's α = .95).
“The scale has demonstrated excellent internal consistency in the present study (Cronbach's α = .95).”
Quote in the paperNot a substantial claim - Study design and conductown data
The Bergen Social Media Addiction Scale (BSMAS) demonstrated good internal consistency in the present study (Cronbach's α = .88).
“The scale has demonstrated good internal consistency in the present study (Cronbach's α = .88).”
Quote in the paperNot a substantial claim - Study design and conductown data
The sample was predominantly female (76.5%), which may limit the representativeness of the findings across genders within Generation Z.
“The sample was predominantly female (76.5%), which may limit the representativeness of the findings across genders within Generation Z.”
Quote in the paperNot a substantial claim - Study design and conductown data
The Pure Procrastination Scale (PPS) demonstrated excellent internal consistency in the present study (Cronbach's α = .92).
“The scale appeared to have excellent internal consistency in the present study (Cronbach's α = .92).”
Quote in the paperNot a substantial claim - Interpretationown data
Social media addiction is a key behavioral mechanism linking boredom to procrastination among Generation Z.
“identifying social media addiction as a key behavioral mechanism in this relationship among Generation Z.”
Quote in the paperSubstantial claim- Rests on an assumption: Individuals experiencing boredom are motivated to seek sources of stimulation to alleviate discomfort.
- Rests on an assumption: Repeated reliance on social media as an emotional coping strategy may, over time, contribute to compulsive and uncontrolled usage.
- Rests on an assumption: In the current digital environment, social media platforms are a primary outlet for relief from boredom, offering personalized content and gratification.
- Classified as probably not a substantial claim. 4
- May combine two claims. 4
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Study design and conductnone givenThe developmental and contextual differences between age subgroups of Generation Z were not explored separately and may obscure important differences in the relationships between the study variables.
“The developmental and contextual differences between age subgroups of Generation Z were not explored separately and may obscure important differences in the relationships between the study variables.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe use of self-report measures may result in response bias and social desirability effects that could influence the accuracy of participants' responses.
“The study used self-report measures, and this can result in response bias and social desirability effects that could influence the accuracy of participants' responses.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe use of convenience sampling may restrict the generalizability of the findings to the broader Generation Z population across diverse geographical and socio-cultural contexts.
“The use of convenience sampling may restrict the generalizability of the findings to the broader Generation Z population across diverse geographical and socio-cultural contexts.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataState boredom influences procrastination through two distinct pathways: directly by reducing motivation and increasing task aversiveness, and indirectly by driving individuals toward addictive social media use, which subsequently reinforces procrastination.
“Taken together, these findings indicate that state boredom influences procrastination through two distinct pathways: directly by reducing motivation and increasing task aversiveness, and indirectly, by driving individuals toward addictive social media use, which subsequently reinforces procrastination.”
- Also stated in: § 4. Discussion · hedged
“This suggests that state boredom influences procrastination through two pathways: directly, by reducing motivation and increasing task aversiveness, and indirectly, by driving individuals toward addictive social media use, which subsequently reinforces procrastination.”
Quote in the paperSubstantial claim- Rests on an assumption: Individuals experiencing boredom are motivated to seek sources of stimulation to alleviate discomfort.
- Rests on an assumption: Repeated reliance on social media as an emotional coping strategy may, over time, contribute to compulsive and uncontrolled usage.
- Rests on an assumption: In the current digital environment, social media platforms are a primary outlet for relief from boredom, offering personalized content and gratification.
- Also stated in: § 4. Discussion · hedged
Classified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningDue to the correlational research design, it was not possible to draw causal conclusions between the variables; longitudinal research would be required to establish the causal order of the relationships.
“Due to the correlational research design, it was not possible to draw causal conclusions between the variables; longitudinal research would be required to establish the causal order of the relationships.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataProcrastination among Generation Z is not merely a consequence of poor time management but is deeply influenced by emotional and behavioral factors, with state boredom as a key emotional trigger and social media addiction as an important behavioral pathway.
“Taken together, the findings of the present study highlight that procrastination among Generation Z is not merely a consequence of poor time management but is deeply influenced by emotional and behavioral factors.State boredom serves as a key emotional trigger, while social media addiction functions as an important behavioral pathway through which procrastination is reinforced.”
Quote in the paperSubstantial claim- Rests on an assumption: Individuals experiencing boredom are motivated to seek sources of stimulation to alleviate discomfort.
- Rests on an assumption: Repeated reliance on social media as an emotional coping strategy may, over time, contribute to compulsive and uncontrolled usage.
- Rests on an assumption: In the current digital environment, social media platforms are a primary outlet for relief from boredom, offering personalized content and gratification.
- Rests on an assumption: The digital environment plays a crucial role in shaping procrastination patterns among Generation Z.
The paper relies on this without support.
Individuals experiencing boredom are motivated to seek sources of stimulation to alleviate discomfort.
“Individuals experiencing boredom are typically motivated to seek sources of stimulation to alleviate this discomfort.”
The paper relies on this without support.
Repeated reliance on social media as an emotional coping strategy may, over time, contribute to compulsive and uncontrolled usage.
“Repeated reliance on social media as an emotional coping strategy may, over time, contribute to compulsive and uncontrolled usage.”
The paper relies on this without support.
In the current digital environment, social media platforms are a primary outlet for relief from boredom, offering personalized content and gratification.
“In the current digital environment, social media platforms have emerged as a primary outlet for such relief, offering personalized content and gratification.”
The paper relies on this without support.
The digital environment plays a crucial role in shaping procrastination patterns among Generation Z.
“The digital environment plays a crucial role in shaping these patterns as features such as infinite scrolling, push notifications, and the use of algorithm-driven content are specifically designed to capture and sustain attention, making disengagement particularly difficult for Generation Z.”
Cites
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 659 · cited 1× · see citing works
“The negative effects include decreased self-control, attention problems, psychological problems and decreased productivity (Hou et al., 2019; Rasouli et al., 2025).”
Xie, J., Xu, X., Zhang, Y., Tan, Y., Wu, D., Shi, M., & Huang, H. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1298361 · Cited by 125 · see citing works
Chen, G., & Lyu, C. (2024) · Personality and Individual Differences · doi:10.1016/j.paid.2024.112652 · Cited by 58 · see citing works
Kil, N., Kim, J., McDaniel, J. T., Kim, J., & Kensinger, K. (2021) · Health Promotion Perspectives · doi:10.34172/hpp.2021.06 · Cited by 49 · see citing works
Why Cannot I Stop Phubbing? Boredom Proneness and Phubbing: A Multiple Mediation Model
Gao, B., Liu, Y., Shen, Q., Fu, C., Li, W., & Li, X. (2023) · Psychology Research and Behavior Management · doi:10.2147/prbm.s423371 · Cited by 45 · see citing works
Santini, Z. I., Thygesen, L. C., Andersen, S., Tolstrup, J. S., Koyanagi, A., Nielsen, L., Meilstrup, C., Koushede, V., & Ekholm, O. (2024) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-024-01283-3 · Cited by 39 · see citing works
Malik, L., Shahnawaz, M. G., Rehman, U., Pragyendu, Uniyal, R., & Griffiths, M. D. (2023) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-023-00323-4 · Cited by 37 · see citing works
Touloupis, T., & Campbell, M. A. (2023) · Social Psychology of Education · doi:10.1007/s11218-023-09817-8 · Cited by 35 · see citing works
Sümer, C., & Büttner, O. B. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.918306 · Cited by 29 · see citing works
Flack, M., Burton, W. H., & Caudwell, K. M. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-05834-9 · Cited by 18 · see citing works
Tang, Y., & He, W. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1668567 · Cited by 12 · cited 2× · see citing works
“The negative consequences of procrastination are related to poorer academic performance, higher stress levels, and poorer psychological well-being (Tang & He, 2025).”
The Self-Control Bridge: Connecting Social Media Use to Academic Procrastination
Rasouli, A., Soumee, Z. N., Seraji, H. T., Ramzi, F., & Saed, O. (2025) · Psychological Reports · doi:10.1177/00332941251330538 · Cited by 12 · cited 1× · see citing works
“The negative effects include decreased self-control, attention problems, psychological problems and decreased productivity (Hou et al., 2019; Rasouli et al., 2025).”
A Systematic Review of Excessive Social Media Use: Has It Really Affected Our Mental Health?
Rahmawati, A., Fitriana, D. M., & Pradany, R. N. (2020) · Jurnal NERS · doi:10.20473/jn.v14i3.17061 · Cited by 8 · cited 1× · see citing works
“Social media addiction is characterized by excessive and uncontrollable engagement with social networking platforms despite awareness of its detrimental consequences (Rahmawati et al., 2020).”
Kolas, J., & von Mühlenen, A. (2024) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-024-01349-2 · Cited by 7 · cited 1× · see citing works
“State boredom is a transient affective state characterized by a sense of lack of stimulation, lack of concentration on the current event, and lack of meaningful involvement (Kolas & von Mühlenen, 2024).”
Beyond the Screen: An In-Depth Examination of Social Media Habits Among University Students
Bahat, İ. (2023) · International Journal of Psychology and Educational Studies · doi:10.52380/ijpes.2023.10.4.1281 · Cited by 3 · see citing works
Rachana Ghosh, S. R. (2025) · Journal of Informatics Education and Research · doi:10.52783/jier.v5i1.2023 · Cited by 2 · see citing works
Flagged first, then by citations
3 of the 19 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Nwosu, K. C., Ikwuka, O. I., Onyinyechi, M. U., & Unachukwu, G. C. (2020). Does the association of social media use with problematic internet behaviours predict ISSN: 2584-0142 International Journal of Interdisciplinary Approaches in Psychology (IJIAP) Vol. 4, Issue 6 June 2026 89
- undergraduate students' academic procrastination? Canadian Journal of Learning and Technology, 46(1). https://eric.ed.gov/?id=EJ1267623
- Authors
- Deepak, A., & Rudrappa, S.
- Affiliations
- Jain University (IN)
- Venue
- International Journal of Interdisciplinary Approaches in Psychology
- Publisher
- Psychopedia
- Published
- 2026-06-20
- Volume
- 4
- Issue
- 6
- ISSN
- 2584-0142 (ISSN-L)
- OpenAlex
- W7165355858
- Semantic Scholar
- 842b6e33be56e19199488bdbad2b8f925fca1819
- Cited by
- 0
- References
- 19
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- International Journal of Interdisciplinary Approaches in Psychology (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Perfectionism, Procrastination, Anxiety Studies
- Social Sciences › Demography › Cyberloafing and Workplace Behavior
- Keywords
- state boredom, procrastination, social media addiction, Generation Z, mediation, adolescents and young adults
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