Association of Smartphone and Digital Game Addiction With Physical Activity, Sleep Quality, Stress, Fatigue, and Musculoskeletal Pain in University Students: A Cross-Sectional Study
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 194
- 试验地点
- 2
- 主要终点
- Smartphone Addiction Level Measured by SAS-SF
研究概览
简要总结
This study aims to examine the relationship between smartphone and digital game addiction and various health indicators, including physical activity level, sleep quality, stress, fatigue, and musculoskeletal pain among young people. University students often spend prolonged time on digital devices, which may affect their mental and physical well-being. By collecting self-reported data through validated questionnaires, the study will explore how these addictive behaviors are associated with lifestyle and health outcomes. The findings may help guide future interventions to promote healthier technology use among youth.
详细描述
This cross-sectional, observational study investigates the associations between smartphone and digital game addiction and physical activity level, sleep quality, perceived stress, fatigue, and musculoskeletal pain among undergraduate students in the Department of Physiotherapy and Rehabilitation at Istanbul University-Cerrahpaşa. The study targets a minimum of 193 participants, with sample size determined via G*Power analysis. Data will be collected using online survey forms distributed to students who provide informed consent.
The study employs a range of validated assessment tools including the Smartphone Addiction Scale-Short Form (SAS-SF), Digital Game Addiction Scale for University Students (DGAS-U), International Physical Activity Questionnaire-Short Form (IPAQ-SF), Pittsburgh Sleep Quality Index (PSQI), Perceived Stress Scale (PSS), Multidimensional Fatigue Inventory (MFI-20), Cornell Musculoskeletal Discomfort Questionnaire (CMDQ), and the Numerical Rating Scale (NRS) for pain intensity. Sociodemographic data and screen usage patterns will also be gathered.
Statistical analysis will be conducted using IBM SPSS Statistics (Version 24). Appropriate statistical tests such as correlation analysis, independent samples t-test or Mann-Whitney U test, ANOVA or Kruskal-Wallis test, and multiple regression analysis will be applied to assess relationships and differences among subgroups. Comparisons will be made based on variables such as gender, academic year, screen time, and addiction severity.
This study is expected to reveal important links between digital addiction and decreased physical activity, poor sleep quality, elevated stress levels, fatigue, and increased musculoskeletal pain, particularly in the neck, back, shoulder, elbow, and wrist. It offers a comprehensive evaluation of both psychosocial and physical health outcomes related to digital addiction in physiotherapy students, a population with future responsibilities in musculoskeletal health care.
By highlighting the potential occupational health risks associated with students' digital habits, the study underscores the importance of preventive strategies, including ergonomics education, digital health literacy, and self-care practices. It also contributes uniquely to the literature by addressing how prolonged device use relates to musculoskeletal symptoms and by examining how daily step counts and physical activity levels may be influenced by digital addiction. Ultimately, the findings are expected to inform future interventions aimed at promoting healthier digital behaviors and supporting the well-being of students in health-related academic programs.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 30 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Inclusion Criteria Aged between 18 and 30 years Currently enrolled as a student in a physiotherapy and rehabilitation undergraduate program Willing to voluntarily participate and able to provide signed informed consent Capable of providing self-reported data regarding smartphone or digital game use
排除标准
- •Diagnosis of any neurological, psychiatric, or chronic pain disorder Presence of a serious musculoskeletal condition or a history of major orthopedic surgery Having a medical condition (e.g., sleep disorder) that could affect the study outcomes Previous participation in a treatment program for smartphone or digital game addiction
研究组 & 干预措施
Physiotherapy Students
Participants are undergraduate students enrolled in the Department of Physiotherapy and Rehabilitation. All participants complete the same set of self-reported questionnaires assessing smartphone and digital game addiction, physical activity, sleep quality, stress, fatigue, and musculoskeletal pain.
结局指标
主要结局
Smartphone Addiction Level Measured by SAS-SF
时间窗: At enrollment
The Smartphone Addiction Scale-Short Form (SAS-SF) is a 10-item self-report instrument scored on a 6-point Likert scale (1 = Strongly disagree, 6 = Strongly agree). The total score ranges from 10 to 60, with higher scores indicating higher levels of smartphone addiction. The Turkish version of the scale has shown high reliability (Cronbach's α = 0.88). All participants will complete the questionnaire online or in print.
Digital Game Addiction Level Measured by DGAS-U
时间窗: At enrollment
The Digital Game Addiction Scale for University Students (DGAS-U) consists of 21 items rated on a 5-point Likert scale (1 = Never, 5 = Always). Total scores range from 21 to 105, with higher scores indicating greater digital game addiction. The scale has demonstrated strong psychometric properties in university populations. In this study, the questionnaire will be completed online or in paper form.
次要结局
- Perceived Stress Measured by Perceived Stress Scale (PSS)(At enrollment)
- Physical Activity Level Assessed by IPAQ-Short Form(At enrollment)
- Sleep Quality Assessed by Pittsburgh Sleep Quality Index (PSQI)(At enrollment)
- Fatigue Level Measured by Multidimensional Fatigue Inventory (MFI-20)(At enrollment)
- Pain Intensity Measured by Numeric Rating Scale (NRS)(At enrollment)
- Musculoskeletal Discomfort Measured by Cornell Musculoskeletal Discomfort Questionnaire (CMDQ)(At enrollment)
研究者
Ayse Zengin Alpozgen
Assoc. Prof.
Istanbul University - Cerrahpasa