- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06098274
Motivational Interview Based Intervention Program on Smartphone Addiction and Sleep Quality
The Effect of Transtheoretic Model and Motivational Interview Based Intervention Program on Smartphone Addiction and Sleep Quality Levels in Nursing Students
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Mustafa Yumuşak, Research Ass
- Phone Number: +905343893959
- Email: mustafayumusak68@hotmail.com
Study Contact Backup
- Name: Semra Kocataş, Asst. Prof.
- Phone Number: +905528507558
- Email: skocatas@gmail.com
Study Locations
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-
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Aksaray, Turkey, 68100
- Aksaray University
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Contact:
- Mustafa Yumuşak, Research Ass
- Phone Number: +905343893959
- Email: mustafayumusak68@hotmail.com
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Principal Investigator:
- Mustafa Yumuşak, Research Ass
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Sivas, Turkey, 58140
- Sivas Cumhuriyet University
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Contact:
- Semra Kocataş, Ass. Prof.
- Phone Number: +905528507558
- Email: skocatas@gmail.com
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Aksaray University Faculty of Health Sciences, Nursing Department 1st, 2nd, 3rd and 4th year students
- Those who have been using smartphones for at least 1 year
- Those who score above the cut-off score on the Smartphone Addiction Scale-Short Form (31 for men, 33 for women)
- Those who do not have internet access problems
- Those who volunteer to participate in the study and have no problems communicating
Exclusion Criteria:
- Having a chronic disease, diagnosed psychiatric health problem or sleep problem
- The individual does not want to continue working or does not attend a maximum of 2 motivational interview sessions.
- Having to take a break from education or terminate university education
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Motivational interviewing group based on transtheoretical model
Smartphone addiction scale will be applied to nursing department students.
Those who score 31 or more on the scale for men and 33 or more for women will be considered at risk and will be invited to the study.
Those who meet the participation criteria and volunteer to participate will be included in the study.
Participants will be homogeneously and randomly distributed into intervention and control groups.
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It will be determined at which stage of change of the transtheoretic model the participants in the intervention group are.
A varying number of motivational interviews will be held depending on the stage of change and a maximum of 6 motivational interviews.
Those in the preparatory phase will be trained on smartphone addiction.
Following completion of the motivational interviewing and training content, the study scales will be re-administered and the effectiveness of the motivational interviewing and training content will be evaluated by comparison with the baseline data.
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No Intervention: Group without transtheoretical model-based motivational interviewing (Control group)
No intervention will be made to the intervention group.
After evaluating the final data, if the motivational interview and training program is found to be effective, a motivational interview and training program will also be carried out to the control group participants.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Personal Information Form
Time Frame: 1. week
|
The form, which was created to determine students' socio-demographic characteristics and smartphone usage habits, was prepared by the researcher in line with the literature review on the subject.
The form consists of a total of 18 questions; There are 8 questions about the socio-demographic characteristics of the students, 8 questions evaluating smartphone usage characteristics, and 2 questions evaluating the individual's smartphone addiction and sleep quality by self-report.
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1. week
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Classification of Stages of Change Scale
Time Frame: 1. week
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The Stages of Change Classification Scale indicates the stages of change that individuals go through when they try to change their problematic behavior alone or with support. The stages of change that the individual goes through were developed based on the Transtheoretic Model. The scale guides the practices necessary for the individual to move on to the next stage of change. There is no scoring on the scale, and participants are divided into stages based on their answers to the questions.
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1. week
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Smartphone Addiction Scale Short Form (SAS-SF)
Time Frame: 1. week
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The scale is a 6-point Likert type and consists of 10 items.
The lowest score from the scale can be 10 and the highest score can be 60.
Increasing the total score from the scale indicates that the risk for smartphone addiction increases.
The cut-off score of the scale in the Korean sample was determined as 31 for men and 33 for women.
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1. week
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Pittsburgh Sleep Quality Index (PSQI)
Time Frame: 1. week
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Pittsburgh Sleep Quality Index consists of 18 questions in which the individual evaluates himself.
The scale consists of 7 components in total.
These; subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbance, use of sleeping pills, and daytime sleep dysfunction.
Each component is evaluated separately on a scale of 0-3 points.
The total score that can be obtained from the Pittsburgh Sleep Quality Index varies between 0-21.
A total score of 5 or less on the scale is interpreted as "good" sleep quality, and a score above 5 is interpreted as "bad" sleep quality.
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1. week
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Classification of Stages of Change Scale
Time Frame: 16. week
|
The Stages of Change Classification Scale indicates the stages of change that individuals go through when they try to change their problematic behavior alone or with support. The stages of change that the individual goes through were developed based on the Transtheoretic Model. The scale guides the practices necessary for the individual to move on to the next stage of change. There is no scoring on the scale, and participants are divided into stages based on their answers to the questions.
|
16. week
|
Smartphone Addiction Scale Short Form (SAS-SF)
Time Frame: 16. week
|
The scale is a 6-point Likert type and consists of 10 items.
The lowest score from the scale can be 10 and the highest score can be 60.
Increasing the total score from the scale indicates that the risk for smartphone addiction increases.
The cut-off score of the scale in the Korean sample was determined as 31 for men and 33 for women.
|
16. week
|
Pittsburgh Sleep Quality Index (PSQI)
Time Frame: 16. week
|
Pittsburgh Sleep Quality Index consists of 18 questions in which the individual evaluates himself.
The scale consists of 7 components in total.
These; subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbance, use of sleeping pills, and daytime sleep dysfunction.
Each component is evaluated separately on a scale of 0-3 points.
The total score that can be obtained from the Pittsburgh Sleep Quality Index varies between 0-21.
A total score of 5 or less on the scale is interpreted as "good" sleep quality, and a score above 5 is interpreted as "bad" sleep quality.
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16. week
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Mustafa Yumuşak, Aksaray University
- Study Director: Semra Kocataş, Cumhuriyet University
Publications and helpful links
General Publications
- Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, Buysse D, Dinges DF, Gangwisch J, Grandner MA, Kushida C, Malhotra RK, Martin JL, Patel SR, Quan SF, Tasali E. Recommended Amount of Sleep for a Healthy Adult: A Joint Consensus Statement of the American Academy of Sleep Medicine and Sleep Research Society. Sleep. 2015 Jun 1;38(6):843-4. doi: 10.5665/sleep.4716.
- Xie Y, Szeto GP, Dai J, Madeleine P. A comparison of muscle activity in using touchscreen smartphone among young people with and without chronic neck-shoulder pain. Ergonomics. 2016;59(1):61-72. doi: 10.1080/00140139.2015.1056237. Epub 2015 Jul 28.
- Newzoo Global Mobile Market Report 2020, Free Version. Available online: https://newzoo.com/insights/trend-reports/newzoo-global-mobile-market-report-2020-free-version/ (Date of access: 19.10.2023).
- Li L, Lin TTC. Over-connected? A qualitative exploration of smartphone addiction among working adults in China. BMC Psychiatry. 2019 Jun 18;19(1):186. doi: 10.1186/s12888-019-2170-z.
- Mohamed SM, Mostafa MH. Impact of smartphone addiction on depression and self-esteem among nursing students. Nurs Open. 2020 May 19;7(5):1346-1353. doi: 10.1002/nop2.506. eCollection 2020 Sep.
- Oulasvirta, A., Rattenbury, T., Ma, L., & Raita, E. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16(1), 105-114.
- Grant JE, Potenza MN, Weinstein A, Gorelick DA. Introduction to behavioral addictions. Am J Drug Alcohol Abuse. 2010 Sep;36(5):233-41. doi: 10.3109/00952990.2010.491884.
- Randler C, Wolfgang L, Matt K, Demirhan E, Horzum MB, Besoluk S. Smartphone addiction proneness in relation to sleep and morningness-eveningness in German adolescents. J Behav Addict. 2016 Sep;5(3):465-73. doi: 10.1556/2006.5.2016.056. Epub 2016 Aug 8.
- Amez S, Vujic S, Soffers P, Baert S. Yawning while scrolling? Examining gender differences in the association between smartphone use and sleep quality. J Sleep Res. 2020 Dec;29(6):e12971. doi: 10.1111/jsr.12971. Epub 2020 Jan 9.
- AlAbdulwahab SS, Kachanathu SJ, AlMotairi MS. Smartphone use addiction can cause neck disability. Musculoskeletal Care. 2017 Mar;15(1):10-12. doi: 10.1002/msc.1170. Epub 2017 Jan 19. No abstract available.
- Choi, Y. S. (2018). A study on the smartphone addiction and physical pain in the university students. Biomed Res, 29, 3162-8.
- Baabdullah A, Bokhary D, Kabli Y, Saggaf O, Daiwali M, Hamdi A. The association between smartphone addiction and thumb/wrist pain: A cross-sectional study. Medicine (Baltimore). 2020 Mar;99(10):e19124. doi: 10.1097/MD.0000000000019124.
- Paek, K. S. (2017). A convergence study the association between addictive smart phone use, dry eye syndrome, upper extremity pain and depression among college students. Journal of the Korea Convergence Society, 8(1), 61-69.
- Golebiowski B, Long J, Harrison K, Lee A, Chidi-Egboka N, Asper L. Smartphone Use and Effects on Tear Film, Blinking and Binocular Vision. Curr Eye Res. 2020 Apr;45(4):428-434. doi: 10.1080/02713683.2019.1663542. Epub 2019 Oct 7.
- Haripriya, S., Samuel, S. E., & Megha, M. (2019). Correlation between Smartphone Addiction, Sleep Quality and Physical Activity among Young Adults. Journal of Clinical & Diagnostic Research, 13(10).
- Alhassan AA, Alqadhib EM, Taha NW, Alahmari RA, Salam M, Almutairi AF. The relationship between addiction to smartphone usage and depression among adults: a cross sectional study. BMC Psychiatry. 2018 May 25;18(1):148. doi: 10.1186/s12888-018-1745-4.
- Hawi, N. S., & Samaha, M. (2017). Relationships among smartphone addiction, anxiety, and family relations. Behaviour & Information Technology, 36(10), 1046-1052.
- Enez Darcin, A., Kose, S., Noyan, C. O., Nurmedov, S., Yılmaz, O., & Dilbaz, N. (2016). Smartphone addiction and its relationship with social anxiety and loneliness. Behaviour & Information Technology, 35(7), 520-525.
- Baert, S., Vujić, S., Amez, S., Claeskens, M., Daman, T., Maeckelberghe, A., Omey, E., and De Marez, L. (2020) Smartphone Use and Academic Performance: Correlation or Causal Relationship?. Kyklos, 73: 22- 46. https://doi.org/10.1111/kykl.12214
- Jniene A, Errguig L, El Hangouche AJ, Rkain H, Aboudrar S, El Ftouh M, Dakka T. Perception of Sleep Disturbances due to Bedtime Use of Blue Light-Emitting Devices and Its Impact on Habits and Sleep Quality among Young Medical Students. Biomed Res Int. 2019 Dec 24;2019:7012350. doi: 10.1155/2019/7012350. eCollection 2019.
- Ishizawa M, Uchiumi T, Takahata M, Yamaki M, Sato T. Effects of pre-bedtime blue-light exposure on ratio of deep sleep in healthy young men. Sleep Med. 2021 Aug;84:303-307. doi: 10.1016/j.sleep.2021.05.046. Epub 2021 Jun 8.
- Hughes, N., & Burke, J. (2018). Sleeping with the frenemy: How restricting 'bedroom use'of smartphones impacts happiness and wellbeing. Computers in Human Behavior, 85, 236-244.
- El Hangouche AJ, Jniene A, Aboudrar S, Errguig L, Rkain H, Cherti M, Dakka T. Relationship between poor quality sleep, excessive daytime sleepiness and low academic performance in medical students. Adv Med Educ Pract. 2018 Sep 7;9:631-638. doi: 10.2147/AMEP.S162350. eCollection 2018.
- Adelantado-Renau M, Diez-Fernandez A, Beltran-Valls MR, Soriano-Maldonado A, Moliner-Urdiales D. The effect of sleep quality on academic performance is mediated by Internet use time: DADOS study. J Pediatr (Rio J). 2019 Jul-Aug;95(4):410-418. doi: 10.1016/j.jped.2018.03.006. Epub 2018 May 19.
- Woods HC, Scott H. #Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. J Adolesc. 2016 Aug;51:41-9. doi: 10.1016/j.adolescence.2016.05.008. Epub 2016 Jun 10.
- Erol, S., & Erdoğan, S. (2007). Sağlık davranışlarını geliştirmek ve değiştirmek için transteoratik modelin kullanılması. Atatürk Üniversitesi Hemşirelik Yüksekokulu Dergisi, 10(2), 86-94.
- Taş, F., Seviğ, E. Ü., Güngörmüş, Z. (2016). Sigara bağımlılığında davranış değişimi için transteoretik model ile motivasyonel görüşme tekniğinin kullanılması. Psikiyatride Güncel Yaklaşımlar, 8(4), 380-392.
- Güngörmüş Z (2010) Lise öğrencilerinde sigara içme davranışının Transteoretik model çerçevesinde değerlendirilmesi. Sürekli Tıp Eğitimi Dergisi, 19:12-18.
- Sertel HÖ, Yücel B, Deveci E. ergenlik döneminde obezite; bilişsel davranışçı kuramlar ve motivasyon kuramları açısından karşılaştırmalı bir inceleme, Türkiye Klinikleri J Psychol-Special Topics, 2016;1(2):50-58.
- Walters JA, Courtney-Pratt H, Cameron-Tucker H, Nelson M, Robinson A, Scott J, Turner P, Walters EH, Wood-Baker R. Engaging general practice nurses in chronic disease self-management support in Australia: insights from a controlled trial in chronic obstructive pulmonary disease. Aust J Prim Health. 2012;18(1):74-9. doi: 10.1071/PY10072.
- Rollnick S, Miller WR. What is motivational in-terviewing? Behav Cognit Psychother 1995; 23(4):325- 34.
- Ögel K. Motivasyonel görüşme tekniği. Türkiye Klinikleri Psychiatry-Special Topics 2009; 2(2):41- 4.
- Augner C, Hacker GW. Associations between problematic mobile phone use and psychological parameters in young adults. Int J Public Health. 2012 Apr;57(2):437-41. doi: 10.1007/s00038-011-0234-z. Epub 2011 Feb 3.
- Cocoradă, E., Maican, C. I., Cazan, A. M., & Maican, M. A. (2018). Assessing the smartphone addiction risk and its associations with personality traits among adolescents. Children and Youth Services Review, 93, 345-354.
- TÜİK (2021), Hanelerde Bilişim Teknolojileri Kullanım Araştırması, https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2021-37437 , (Date of access; 18.10.2023).
- Aljomaa, S. S., Qudah, M. F. A., Albursan, I. S., Bakhiet, S. F., & Abduljabbar, A. S. (2016). Smartphone addiction among university students in the light of some variables. Computers in Human Behavior, 61, 155-164.
- Ghosh T, Sarkar D, Sarkar K, Dalai CK, Ghosal A. A study on smartphone addiction and its effects on sleep quality among nursing students in a municipality town of West Bengal. J Family Med Prim Care. 2021 Jan;10(1):378-386. doi: 10.4103/jfmpc.jfmpc_1657_20. Epub 2021 Jan 30.
- Wang PY, Chen KL, Yang SY, Lin PH. Relationship of sleep quality, smartphone dependence, and health-related behaviors in female junior college students. PLoS One. 2019 Apr 3;14(4):e0214769. doi: 10.1371/journal.pone.0214769. eCollection 2019.
- Yumuşak M., (2019). Üniversite öğrencilerinde akıllı telefon bağımlılığı, uyku kalitesi ve yaşam doyumu düzeyleri, Yükseklisans Tezi, Erciyes Üniversitesi Sağlık Bilimleri Enstitüsü, Kayseri, 33-34.
- Setiawan, A., Sugiharto, D. Y. P., & Purwanto, E. (2021). Efektivitas Konseling Motivational Interviewing (MI) dalam Mereduksi Adiksi Smartphone Siswa. In Prosiding Seminar Nasional Bimbingan dan Konseling Universitas Ahmad Dahlan (Vol. 1).
- Khalily MT, Bhatti MM, Ahmad I, Saleem T, Hallahan B, Ali SA, Khan AA, Hussain B. Indigenously adapted cognitive-behavioral therapy for excessive smartphone use (IACBT-ESU): A randomized controlled trial. Psychol Addict Behav. 2021 Feb;35(1):93-101. doi: 10.1037/adb0000677. Epub 2020 Jul 23.
- Lu, C., Zou, L., Becker, B., Griffiths, M. D., Yu, Q., Chen, S. T., ... & Zhang, Y. (2020). Comparative effectiveness of mind-body exercise versus cognitive behavioral therapy for college students with problematic smartphone use: a randomized controlled trial. International Journal of Mental Health Promotion, 22(4), 271-282.
- Shin, J. H., & Jang, M. (2016). Effect of group sandplay therapy to be addicted youth's addiction levels and anxiety. Journal of Symbols & Sandplay Therapy, 7(1), 39-55.
- Baek, H. G., & Ha, T. H. (2018). A Study on the Effects of Literacy Therapy Program for the Prevention of Adolescents' Smartphone Addiction. Journal of Digital Contents Society, 19(2), 269-276.
- Bong SH, Won GH, Choi TY. Effects of Cognitive-Behavioral Therapy Based Music Therapy in Korean Adolescents with Smartphone and Internet Addiction. Psychiatry Investig. 2021 Feb;18(2):110-117. doi: 10.30773/pi.2020.0155. Epub 2021 Feb 2.
- Jo J, Bang KS. The effect of peer relationship enhancement programs on the prevention of smartphone addiction among late school-age children in South Korea. J Pediatr Nurs. 2022 Mar-Apr;63:e127-e135. doi: 10.1016/j.pedn.2021.09.025. Epub 2021 Oct 5.
- Yoo, Y. G., Lee, M. J., Yu, B., & Yun, M. R. (2019). The effect of Mind Subtraction Meditation on smartphone addiction in school children. Glob. J. Health Sci, 11, 16-28.
- Lee H, Seo MJ, Choi TY. The Effect of Home-based Daily Journal Writing in Korean Adolescents with Smartphone Addiction. J Korean Med Sci. 2016 May;31(5):764-9. doi: 10.3346/jkms.2016.31.5.764. Epub 2016 Mar 23.
- Jang, H. J., Kim, J. W., & Choi, T. Y. (2017). The effect of group therapy using art program on Internet/Smartphone addictive behaviors of adolescents: a pilot study. J Korean Soc Biol Ther Psychiatry, 23, 171-180.
- Bae, S. Y., & Won, H. R. (2019). The effect of attachment-focused group art therapy on early youth attachment behavior and smartphone overdependence. Korean J. Arts Ther, 26, 559-584.
- Choi, W., Park, J., Jung, H., Yim, J., Lee, S., Han, S., Park, S., Jeong, H. (2016). The effects of laughter therapy interventions for smartphone addicts. International Journal of Bio-Science and Bio-Technology, 8(4), 189-198.
- Choi EH, Chun MY, Lee I, Yoo YG, Kim MJ. The Effect of Mind Subtraction Meditation Intervention on Smartphone Addiction and the Psychological Wellbeing among Adolescents. Int J Environ Res Public Health. 2020 May 7;17(9):3263. doi: 10.3390/ijerph17093263.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- AksarayUniversity
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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