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The aim of the study is to determine the effects of the use of smartphone on the neck and shoulder posture, pain, and functions, and the quality of life in young adults. The sample of the study consists of university students. According to the scores they got from the Smartphone Addiction Scale-Short Version, all participants will be divided into two groups. The neck and shoulder posture, pain, and functions, and the quality of life will be compared between the two groups.
The study will include 106 university students who are 18-25 years old. According to the scores they got from the Smartphone Addiction Scale-Short Version, all students will be divided into two groups as Excessive Smartphone Use Group and Non-excessive Smartphone Use Group, both consisting of 53 participants. Participants whose scores are higher than 30 will be included to the Excessive Smartphone Use Group, and whose scores are 30 or less will be included to the Non-excessive Smartphone Use Group. In the assessment of pain level, the Visual Analogue Scale will be used. Functional levels of the neck and shoulders will be evaluated with the Copenhagen Neck Functional Disability Scale and the Shoulder Disability Questionnaire. World Health Organization Quality of Life Instrument-Short Form will be utilized to assess the quality of life. Postural analyzes of the participants will be fulfilled with the New York Posture Rating Chart. All scores will be evaluated by comparing between the two groups.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Excessive Smartphone Use Group | Participants whose Smartphone Addiction Scale-Short Version scores are higher than 30 |
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| Non-excessive Smartphone Use Group | Participants whose Smartphone Addiction Scale-Short Version scores are 30 or less |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Assessment | Other | The structured questionnaire, Visual Analogue Scale, Copenhagen Neck Functional Disability Scale, Shoulder Disability Questionnaire, World Health Organization Quality of Life Instrument-Short Form, and Smartphone Addiction Scale-Short Version will be applied to all participants respectively. Lastly, posture analysis will be performed to all participants by using the New York Posture Rating Chart. |
| Measure | Description | Time Frame |
|---|---|---|
| Posture | Posture will be examined with New York Posture Rating Chart which is a quantitative approach to assess the alignment of various body parts from posterior and lateral. The total score calculated after the evaluation is at most 65, and at least 13. The low score indicates impairments in posture. | 1 day (Instant single measure) |
| Pain level | In the assessment of the neck and shoulder pain levels the Visual Analogue Scale will be used. This scale is 10 cm long, and has two ends on a horizontal line. One of these two ends is called as "0", while one is named as "10". "0" point defines no pain, and "10" points describe the most severe pain. | 1 day (Instant single measure) |
| Neck function | Functional level of the neck will be evaluated with the Copenhagen Neck Functional Disability Scale. It is a valid and reliable tool for self-assessment of cervical pain and related disabilities, developed by Jordan el al. in 1998. The minimum score of the scale is 0, while the maximum score is 30. Disability level increases as the total score increases. | 1 day (Instant single measure) |
| Shoulder function | Functional level of the shoulder will be evaluated with the Shoulder Disability Questionnaire. It is a 16-items disability questionnaire related to shoulder pain. The result is calculated with a special formula, and evaluated out of 100. Disability level increases as the total score increases. | 1 day (Instant single measure) |
| Quality of life level | World Health Organization Quality of Life Instrument-Short Form will be utilized to assess the quality of life of participants. This questionnaire has been developed by World Health Organization, and has been validated in 1999 by Eser et al. in Turkish population. The scale does not have a total score, each field of the scale is evaluated independently in itself and is scored out of 20 or 100 points. The higher the score shows the higher the quality of life level. |
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Inclusion Criteria:
Exclusion Criteria:
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The sample of the study will consist of university students.
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| Name | Affiliation | Role |
|---|---|---|
| Rasmi Muammer, Professor | Yeditepe University, Department of Physiotherapy and Rehabilitation | Study Chair |
| Sıla Yılmaz, PT | Yeditepe University, Department of Physiotherapy and Rehabilitation | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Yeditepe University | Istanbul | Turkey (Türkiye) |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31435373 | Background | Akodu AK, Akinbo SR, Young QO. Correlation among smartphone addiction, craniovertebral angle, scapular dyskinesis, and selected anthropometric variables in physiotherapy undergraduates. J Taibah Univ Med Sci. 2018 Oct 5;13(6):528-534. doi: 10.1016/j.jtumed.2018.09.001. eCollection 2018 Dec. |
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| ID | Term |
|---|---|
| D019547 | Neck Pain |
| D020069 | Shoulder Pain |
| D000082424 | Internet Addiction Disorder |
| ID | Term |
|---|---|
| D010146 | Pain |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| ID | Term |
|---|---|
| D012149 | Restraint, Physical |
| ID | Term |
|---|---|
| D032763 | Behavior Control |
| D013812 | Therapeutics |
| D007103 | Immobilization |
| D008919 | Investigative Techniques |
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| 1 day (Instant single measure) |
| Smartphone addiction level | In determining the smartphone addiction levels of the participants, Smartphone Addiction Scale-Short Version will be utilized. It is a self-assessment tool questioning smartphone usage, constituted by Kwon et al in 2013. The validity and reliability study of its Turkish version was made by Noyan et al. in 2015. The cut-off score for Turkish population was detected both for male and female students in 2017 by Şata and Karip. The lowest score of the scale is 10, while the highest score is 60. As the score obtained from the scale increases, the severity of smartphone addiction increases. | 1 day (Instant single measure) |
| D018771 | Arthralgia |
| D007592 | Joint Diseases |
| D009140 | Musculoskeletal Diseases |
| D000088942 | Technology Addiction |
| D016739 | Behavior, Addictive |
| D003192 | Compulsive Behavior |
| D007175 | Impulsive Behavior |
| D001519 | Behavior |