Effects of Smartphone Addiction on Posture and Breathing Control in University Students: The Role of Physical Activity and Demographic Factors
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 300
- 试验地点
- 1
研究概览
简要总结
The aim of this study is to investigate the effects of smartphone addiction on postural problems and breathing control in healthy university students.
Excessive smartphone use has been associated with forward head posture, thoracic postural changes, and musculoskeletal complaints. These postural alterations may negatively influence respiratory biomechanics and breathing control. However, the relationship between smartphone addiction, postural deterioration, and dysfunctional breathing symptoms has not been comprehensively investigated.
Participants will complete questionnaires assessing smartphone addiction and breathing control, and posture will be evaluated using the New York Posture Rating Chart. Binary logistic regression analysis will be performed to determine whether smartphone addiction independently predicts postural problems. Additionally, multiple linear regression analyses will be conducted to examine the association between smartphone addiction, posture, and breathing control.
详细描述
This cross-sectional observational study will be conducted between April and September 2026 in healthy university students aged 18-35 years.
Following written informed consent, participants will complete a sociodemographic form including age, sex, body mass index, smoking status, and daily smartphone usage duration.
Smartphone addiction levels will be evaluated using the Smartphone Addiction Scale-Short Form (SAS-SV). Breathing control and dysfunctional breathing symptoms will be assessed using the Self Evaluation of Breathing Questionnaire (SEBQ). Postural assessment will be performed using the New York Posture Rating Chart (NYPRC).
Participants will additionally be categorized according to smartphone addiction status using validated cutoff values for the SAS-SV. Postural status will also be categorized according to NYPRC scores.
Binary logistic regression analysis will be performed to determine whether smartphone addiction is an independent predictor of postural problems. Odds ratios (OR) and 95% confidence intervals (CI) will be reported. Multiple linear regression analysis will additionally be used to examine the relationship between smartphone addiction, posture scores, and breathing control scores while adjusting for potential confounding factors such as age, sex, body mass index, smoking status, and smartphone usage duration.
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 35 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Age between 18 and 35 years
- •Smartphone user
- •Ability to stand independently
- •Ability to perform activities of daily living independently
- •Ability to understand assessment instructions
- •Voluntary participation with signed informed consent
排除标准
- •• History of fracture
- •Cardiovascular disease
- •Pulmonary disease
- •Neurological or orthopedic disorders affecting posture or breathing
- •Inability to understand instructions
研究者
Emel Mete
Assistant Professor, PhD
Istanbul Medeniyet University