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临床试验/NCT07205835
NCT07205835已完成不适用

A Comparative Evaluation of the Effectiveness of an Artificial Intelligence-Generated Reformer Pilates Protocol and a Studio-Designed Reformer Pilates Protocol in Individuals With Forward Head Posture

Uskudar University2 个研究点 分布在 1 个国家目标入组 40 人开始时间: 2024年11月1日最近更新:

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
40
试验地点
2
主要终点
Change in Craniovertebral Angle

研究概览

简要总结

Posture is the alignment of body segments. While ideal posture places minimal stress on the joints, poor posture increases joint stress. Forward head posture (FHP) is a common postural abnormality characterized by the anterior displacement of the head in the sagittal plane. This condition may lead to muscle imbalances, pain, reduced cervical range of motion (ROM), decreased quality of life, and spinal degeneration.

The most common method for evaluating FHP is the craniovertebral angle (CVA). Causes of FHP include excessive smartphone and computer use, mouth breathing, carrying heavy bags, and rounded shoulders. Cervical stabilization exercises and holistic approaches are recommended for prevention and treatment.

Pilates, developed by Joseph Pilates, especially in its clinical form, has been shown to improve posture, strengthen core muscles, and enhance quality of life. Literature indicates that stretching- and strengthening-based exercise programs targeting FHP positively affect CVA, neck pain, and ROM.

In recent years, artificial intelligence (AI) has gained importance in physiotherapy as a diagnostic and therapeutic support tool. Its potential in generating exercise prescriptions is being explored, though whether AI can replace physiotherapists remains debated.

The aim of this study is to compare the effectiveness of an AI-generated reformer Pilates protocol and a studio-based reformer Pilates protocol in individuals with FHP. Hypotheses:

H0: The studio-based reformer Pilates protocol has no effect on CVA, ROM, pain, muscle endurance, or quality of life in individuals with FHP.

H1: The studio-based reformer Pilates protocol has a positive effect on these parameters.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Treatment
盲法
Single (Outcomes Assessor)

入排标准

年龄范围
18 Years 至 50 Years(Adult)
性别
All
接受健康志愿者

入选标准

  • Inclusion Criteria:
  • Volunteers aged between 18-50 years
  • Craniovertebral angle less than 54°
  • Ability to participate in exercise sessions twice a week for 6 weeks
  • Willingness to provide informed consent

排除标准

  • History of musculoskeletal, neurological, or cardiovascular disorders
  • Previous surgery affecting posture or spine
  • Current participation in another structured exercise program

结局指标

主要结局

Change in Craniovertebral Angle

时间窗: Baseline and after 6 weeks

Craniovertebral angle will be measured using digital photography and goniometric analysis to evaluate postural improvement.

次要结局

未报告次要终点

研究者

发起方
Uskudar University
申办方类型
Other
责任方
Principal Investigator
主要研究者

Dr. Öğr. Üyesi Muhammed Fatih Kavak

Asst. Prof.

Uskudar University

研究点 (2)

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