Comparing the theory of planned behavior and transtheoretical model in limiting screen time before bedtime: a narrative review

Authors

  • Farhana F. Zerin Department of Public Health, Georgia Southern University, Statesboro, Georgia, USA
  • Hadeer Hegazy Department of Public Health, Georgia Southern University, Statesboro, Georgia, USA
  • Nasrin Akter Department of Public Health, Northern University Bangladesh, Dhaka, Bangladesh
  • Bilkis Banu Department of Public Health, International University Bangladesh, Dhaka, Bangladesh
  • Sonia J. Bithi Department of Prosthodontics, Dhaka Community Medical College, Dhaka, Bangladesh
  • Fatema Arefin Kanta Department of Public Health, Northern University Bangladesh, Dhaka, Bangladesh

DOI:

https://doi.org/10.18203/2320-6012.ijrms20251669

Keywords:

Screen time reduction, Sleep hygiene, Behavior change, Theory of planned behavior, Transtheoretical model, Digital well-being

Abstract

Excessive screen time before bed is becoming an increasing public health issue, as it’s associated with poor sleep, impaired cognitive functioning, and elevated stress levels. The key to healthier digital habits is understanding behavior change mechanisms. The purpose of this article is to compare the theory of planned behavior (TPB) and the transtheoretical model (TTM) to determine their relative effectiveness for screen use reduction prior to sleep. TPB describes behavior change in regards to attitudes, subjective norms and perceived behavioral control; however, it also faces struggles with the intention-behavior gap, where individuals intend to reduce screen use but fail to act. In contrast, TTM recognizes that behavior change is a multi-stage process, allowing for tailored interventions based on an individual’s readiness for change. This narrative review attempts to synthesize empirical research on TPB and TTM in a systematic literature search in ISI Web of Science, Scopus, PubMed, SID and Magiran. Studies were included if they focused on screen time reduction and applied either TPB or TTM. The review emphasizes that TPB gives insightful understanding of behavioral intentions, while TTM provides a step-by step, structured framework for intervention development. Findings suggest that integrating TPB’s predictive strengths with TTM’s staged framework could enhance intervention effectiveness. Future research should explore hybrid models that bridge the gap between intention formation and sustained behavior change, ultimately supporting better sleep hygiene and long-term digital well-being.

 

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References

Arshad D, Joyia UM, Fatima S, Khalid N, Rishi AI, Rahim NUA, et al. The adverse impact of excessive smartphone screen-time on sleep quality among young adults: A prospective cohort. Sleep Sci (Sao Paulo, Brazil). 2021;14(4):337-41. DOI: https://doi.org/10.5935/1984-0063.20200114

Schrempft S, Baysson H, Chessa A, Lorthe E, Zaballa ME, Stringhini S, et al. Associations between bedtime media use and sleep outcomes in an adult population-based cohort. Sleep Med. 2024;121:226-35. DOI: https://doi.org/10.1016/j.sleep.2024.06.029

Gradisar M, Wolfson AR, Harvey AG, Hale L, Rosenberg R, Czeisler CA. The sleep and technology use of amer icans: Findings from the National Sleep Foundation's 2011 sleep in america poll. J Clin Sleep Med. 2013;9(12):1291-9. DOI: https://doi.org/10.5664/jcsm.3272

Hale L, Guan S. Screen time and sleep among school-aged children and adolescents: a systematic literature review. Sleep Med Rev. 2015;21:50-8. DOI: https://doi.org/10.1016/j.smrv.2014.07.007

Silva SSD, Silveira MACD, Almeida HCR, Nascimento MCPD, Santos MAMD, Heimer MV. Use of digital screens by adolescents and association on sleep quality: a systematic review. Cad Saude Publica. 2022;38(10):e00300721. DOI: https://doi.org/10.1590/0102-311xen300721

Fitzpatrick C, Almeida ML, Harvey E, Garon-Carrier G, Berrigan F, Asbridge M. An examination of bedtime media and excessive screen time by Canadian preschoolers during the COVID-19 pandemic. BMC Pediatr. 2022;22(1):212. DOI: https://doi.org/10.1186/s12887-022-03280-8

Nestler S, Böckelmann I. Influence of screen time on the sleep quality of students. Somnologie. 2023;27(2):124-31. DOI: https://doi.org/10.1007/s11818-022-00357-5

Ajzen I. The theory of planned behavior: Frequently asked questions. Hum Behav Emerg Technol. 2020;2(4):314-24. DOI: https://doi.org/10.1002/hbe2.195

Ajzen I, Schmidt P. Changing behavior using the theory of planned behavior. In: The Handbook of Behavior Change. 2020;17-31. DOI: https://doi.org/10.1017/9781108677318.002

Mead MP, Irish LA. The Theory of Planned Behavior and sleep opportunity: A structural model. Sleep Health. 2021;7(1):83-9. DOI: https://doi.org/10.1111/jsr.13420

Zhang CQ, Zhang R, Schwarzer R, Hagger MS. A meta-analysis of the health action process approach. Health Psychol. 2019;38(7):623-32. DOI: https://doi.org/10.1037/hea0000728

Roussel-Ouellet J, Beaulieu D, Vézina-Im LA, Turcotte S, Labbé V, Bouchard D. Psychosocial correlates of recreational screen time among adolescents. Int J Environ Res Public Health. 2022;19(24):16719. DOI: https://doi.org/10.3390/ijerph192416719

Prochaska JO, DiClemente CC, Norcross JC. In search of how people change: Applications to addictive behaviors. Am Psychol. 2015;47(9):1102-11. DOI: https://doi.org/10.1037//0003-066X.47.9.1102

Hashemzadeh M, Rahimi A, Zare-Farashbandi F, Alavi NM, Daei A. Transtheoretical model of health behavioral change: A systematic review. Iran J Nurs Midwifery Res. 2019;24(2):83-90. DOI: https://doi.org/10.4103/ijnmr.IJNMR_94_17

Buctot DB, Kim N, Kim SH. The role of nomophobia and smartphone addiction in the lifestyle profiles of junior and senior high school students in the Philippines. Soc Sci Humanit Open. 2020;2(1):100035. DOI: https://doi.org/10.1016/j.ssaho.2020.100035

Chung JE, Choi SA, Kim KT, Yee J, Kim JH, Seong JW, et al. Smartphone addiction risk and daytime sleepiness in Korean adolescents. J Paediatr Child Health. 2018;54(7):800-6. DOI: https://doi.org/10.1111/jpc.13901

Zhao X, Feng X, Garg R, Kelly KM. Reducing late evening bedtime electronic device intentions and use among young adults. Sleep Health. 2019;5(4):401-8. DOI: https://doi.org/10.1016/j.sleh.2019.02.005

Chin A Paw MJ, Singh AS, Brug J, van Mechelen W. Why did soft drink consumption decrease but screen time not? Mediating mechanisms in a school-based obesity prevention program. Int J Behav Nutr Physical Activity. 2008;5:1-11. DOI: https://doi.org/10.1186/1479-5868-5-41

Jones D, Hoelscher DM, Kelder SH, Hergenroeder A, Sharma SV. Increasing physical activity and decreasing sedentary activity in adolescent girls–The Incorporating More Physical Activity and Calcium in Teens (IMPACT) study. Int J Behav Nutr Physical Activity. 2008;5:1-10. DOI: https://doi.org/10.1186/1479-5868-5-42

Kipping RR, Payne C, Lawlor DA. Randomised controlled trial adapting US school obesity prevention to England. Arch Dis Childhood. 2008;93(6):469-73. DOI: https://doi.org/10.1136/adc.2007.116970

Prochaska J, Velicer W. The transtheoretical model of health behavior change. Am J Health Promot. 2021;35(1):124-39.

Throuvala MA, Griffiths MD, Rennoldson M, Kuss DJ. Motivational processes and dysfunctional mechanisms of social media use among adolescents: A qualitative focus group study. Comput Hum Behav. 2019;93:164-75. DOI: https://doi.org/10.1016/j.chb.2018.12.012

Boonroungrut C, Fei H. The Theory of Planned Behavior and Transtheoretical Model of Change: A systematic review on combining two behavioral change theories in research. J Public Health Dev. 2018;16(1):75-87.

Labadorf EA. Smartphone habits and health: Testing Habit Theory to target perceived behavioral control within the Theory of Planned Behavior [Master's thesis]. Purdue University. 2024. Available at: https://hammer.purdue.edu/articles/thesis/_b_Smartphone_habits_and_health_Testing_Habit_Theory_to_target_perceived_behavioral_control_within_the_Theory_of_Planned_Behavior_b_/26322136?file=47750683. Accessed on 12 March 2025.

Hamilton K, Spinks T, White KM, Kavanagh DJ, Walsh AM. A psychosocial analysis of parents' decisions for limiting their young child's screen time: An examination of attitudes, social norms and roles, and control perceptions. Br J Health Psychol. 2016;21(2):285-301. DOI: https://doi.org/10.1111/bjhp.12168

Laftah SA, Ali MBHA. Using the Transtheoretical Model of Change to Understand High School Students’ Screen Time Behavior. Pak J Med Health Sci. 2022;16(05):535. DOI: https://doi.org/10.53350/pjmhs22165535

García‐Feijóo L, Parra‐Gallego I, Vázquez‐Cano E. Coping Strategies and Self‐Efficacy in University Students: A Person‐Centered Approach. Front Psychol. 2020;11:841. DOI: https://doi.org/10.3389/fpsyg.2020.00841

Raihan N, Cogburn M. Stages of Change Theory. In StatPearls. StatPearls Publishing. 2023.

Aulbach MB, Knittle K, Haukkala A. A dual process model to predict adolescents' screen time and physical activity: A longitudinal study. Psychol Health. 2021;36(12):1457-74.

Carmack CC, Lewis-Moss RK. Examining the theory of planned behavior applied to condom use: the effect-indicator vs. causal-indicator models. J Prim Prev. 2009;30:659-76. DOI: https://doi.org/10.1007/s10935-009-0199-3

Hui SK, Grandner MA. Associations between poor sleep quality and stages of change of multiple health behaviors among participants of an employee wellness program. Prev Med Rep. 2015;2:292-9. DOI: https://doi.org/10.1016/j.pmedr.2015.04.002

Smith SM, Bais B, M'hamdi HI, Schermer MH, Steegers-Theunissen RP. Stimulating the Uptake of Preconception Care by Women With a Vulnerable Health Status Through mHealth App–Based Nudging (Pregnant Faster): Cocreation Design and Protocol for a Cohort Study. JMIR Res Protocols. 2023;12(1):e45293. DOI: https://doi.org/10.2196/45293

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Published

2025-05-30

How to Cite

Zerin, F. F., Hegazy, H., Akter, N., Banu, B., Bithi, S. J., & Kanta, F. A. (2025). Comparing the theory of planned behavior and transtheoretical model in limiting screen time before bedtime: a narrative review. International Journal of Research in Medical Sciences, 13(6), 2674–2679. https://doi.org/10.18203/2320-6012.ijrms20251669

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Review Articles