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The study aimed to investigate the effect of a nursing care program based on the Care Bag Theory for Healthy Internet Use in Adolescents (CHIA) on adolescents' problematic internet use, self-regulation, family relationships, and coping skills.
This study constitutes a part of the doctoral thesis titled "Development of a Nursing Intervention Model Specific to Problematic Internet Use in Adolescents"
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Action group | Experimental |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| A nursing care program based on the Care Bag Theory for Healthy Internet Use in Adolescents (CHIA) | Behavioral | A nursing care program based on the Care Bag Theory for Healthy Internet Use in Adolescents (CHIA) The nursing care program based on the CHIA model is designed for adolescents with problematic internet use. The program is grounded in the concepts of the draft model. It consists of eight sessions, each expected to last 40-50 minutes. One session will be held per week. The first session includes introductions and an overview of the program, the second session aims to strengthen the adolescent's motivation for change, the third session focuses on improving the adolescent's self-control skills, the fourth session aims to enhance family functionality, the fifth session helps develop offline activities to replace internet use, the sixth and seventh sessions work on developing coping skills, and the eighth session includes the evaluation and termination of the program. |
| Measure | Description | Time Frame |
|---|---|---|
| Problematic Internet Use Scale-Adolescent (PIUS-A) | The scale consists of 27 items and is of a five-point Likert type. The lowest possible score on the scale is 27, and the highest score is 135. Higher scores on the scale indicate that adolescents' problematic internet use has increased and become unhealthy. The PIUS-A scale has three subscales: negative consequences of internet use, excessive use, and social benefit/social comfort. | Data will be collected two times: pre-intervention and immediately post-intervention. |
| Measure | Description | Time Frame |
|---|---|---|
| The Adolescent Self Regulatory Inventory (ASRI) | The scale consists of 32 items and has two subscales: 'self-control success' and 'self-control failure.' The self-control success subscale contains 18 items, while the self-control failure subscale contains 14 items. The scale uses a four-point Likert-type rating. The scale is used to calculate the total score. The lowest possible score on the ASRI is 32, and the highest score is 128. A higher score on the scale indicates that the adolescent's self-control skills are good. |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Akdeniz University | Antalya | Kepez | 07058 | Turkey (Türkiye) |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38144476 | Background | Wang W, Ye J, Zhu Y, Huang D, Zhao X. Longitudinal relationship between internet self-control and problematic internet use among Chinese adolescents: mediating role of meaning in life. Front Psychiatry. 2023 Dec 7;14:1258673. doi: 10.3389/fpsyt.2023.1258673. eCollection 2023. | |
| 27630812 | Result | Shek DT, Yu L, Leung H, Wu FK, Law MY. Development, implementation, and evaluation of a multi-addiction prevention program for primary school students in Hong Kong: the B.E.S.T. Teen Program. Asian J Gambl Issues Public Health. 2016;6(1):5. doi: 10.1186/s40405-016-0014-z. Epub 2016 Jul 8. |
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| Data will be collected two times: pre-intervention and immediately post-intervention. |
| Kidcope | The scale consists of 11 items. The Kidcope has three subscales: Active Coping (Items 3, 6, 8, 10), Negative Coping (Items 4, 5, 7), and Avoidant Coping (Items 1, 2, 9, 11). Each subscale score is obtained by summing the relevant items in order. The possible scores range from 0 to 12 for both the Active Coping and Avoidant Coping subscales, and from 0 to 9 for the Negative Coping subscale. As the score increases, it indicates a higher use of the corresponding coping strategy. | Data will be collected two times: pre-intervention and immediately post-intervention. |
| The Family Relationship Scale for Children | The scale consists of 20 items and was developed to measure how children perceive their relationships with their families. Participants respond to each item with "never" (1), "sometimes" (2), or "always" (3). The scale has two subscales: Restrictive Family Relationships and Supportive Family Relationships. Items 2, 3, 4, 5, 6, 10, 14, 16, 18, and 19 form the Restrictive Family Relationships subscale. A higher score in this subscale indicates that the child perceives the relationships within the family as restrictive. Items 1, 7, 8, 9, 11, 12, 13, 15, 17, and 20 form the Supportive Family Relationships subscale. A higher score in this subscale indicates that the child perceives the relationships within the family as supportive. | Data will be collected two times: pre-intervention and immediately post-intervention. |
| Result | Peterson SJ. Introduction to the nature of nursing knowledge. In S. J. Peterson and T. S. Bredow (Eds.), Middle range theories: Application to nursing research (3rd ed., pp. 3-41). Philadelphia: Lippincott Williams & Wilkins; 2013. |
| 34189970 | Result | Rakhmawati W, Kosasih CE, Widiasih R, Suryani S, Arifin H. Internet Addiction Among Male Adolescents in Indonesia: A Qualitative Study. Am J Mens Health. 2021 May-Jun;15(3):15579883211029459. doi: 10.1177/15579883211029459. |
| 29633243 | Result | Paulus FW, Ohmann S, von Gontard A, Popow C. Internet gaming disorder in children and adolescents: a systematic review. Dev Med Child Neurol. 2018 Jul;60(7):645-659. doi: 10.1111/dmcn.13754. Epub 2018 Apr 6. |
| 29615385 | Result | Park E, Kwon M. Health-Related Internet Use by Children and Adolescents: Systematic Review. J Med Internet Res. 2018 Apr 3;20(4):e120. doi: 10.2196/jmir.7731. |
| 36662598 | Result | Ozparlak A, Karakaya D, Onder A, Gunbayi I. Problematic internet use in adolescents: A phenomenological study. J Psychiatr Ment Health Nurs. 2023 Aug;30(4):731-742. doi: 10.1111/jpm.12900. Epub 2023 Jan 31. |
| 28813437 | Result | Marchant A, Hawton K, Stewart A, Montgomery P, Singaravelu V, Lloyd K, Purdy N, Daine K, John A. A systematic review of the relationship between internet use, self-harm and suicidal behaviour in young people: The good, the bad and the unknown. PLoS One. 2017 Aug 16;12(8):e0181722. doi: 10.1371/journal.pone.0181722. eCollection 2017. |
| 10222968 | Result | Lyons J. Reflective education for professional practice: discovering knowledge from experience. Nurse Educ Today. 1999 Jan;19(1):29-34. doi: 10.1054/nedt.1999.0607. |
| 35933287 | Result | Lukavska K, Hrabec O, Lukavsky J, Demetrovics Z, Kiraly O. The associations of adolescent problematic internet use with parenting: A meta-analysis. Addict Behav. 2022 Dec;135:107423. doi: 10.1016/j.addbeh.2022.107423. Epub 2022 Jul 6. |
| ID | Term |
|---|---|
| D000082424 | Internet Addiction Disorder |
| ID | Term |
|---|---|
| D000088942 | Technology Addiction |
| D016739 | Behavior, Addictive |
| D003192 | Compulsive Behavior |
| D007175 | Impulsive Behavior |
| D001519 | Behavior |
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