The Parkinson's Disease (PD) is a chronic neurodegenerative condition characterized by motor symptoms such as tremors, rigidity, and bradykinesia, which can significantly impact various aspects of daily life. Among these aspects, pain is a prominent element. Despite the widespread use of therapies aimed at improving symptoms and quality of life, effective pain management is essential to enhance the quality of life of individuals affected by this disease. However, a detailed understanding of the factors associated with pain in PD is still evolving. In this study, we examined the disability caused by pain and the pain experienced by PD patients using two validated questionnaires, namely the Parkinson's Disease Questionnaire (PDQ) and the King's Parkinson's Disease Pain Questionnaire (KPPQ). Customized questions were also included to further explore the pain experience and management strategies adopted by PD patients. Through statistical analysis, we explored the relationships between questionnaire scores, socio-demographic data, and other relevant variables. Additionally, generative Artificial Intelligence (AI) was employed to gain a deeper understanding of patient responses. The results indicate the extent and impact of pain in PD and provide valuable insights for more targeted and personalized management. This study lays the foundation for future research and the development of interventions aimed at improving the quality of life for individuals affected by this condition.

中文翻译：

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用于评估帕金森病患者的疼痛体验、疼痛引起的残疾和生活质量的统计分析和生成人工智能 (AI)

帕金森病 (PD) 是一种慢性神经退行性疾病，其特征是震颤、强直和运动迟缓等运动症状，可显着影响日常生活的各个方面。在这些方面中，疼痛是一个突出的因素。尽管广泛使用旨在改善症状和生活质量的疗法，但有效的疼痛管理对于提高受这种疾病影响的个体的生活质量至关重要。然而，对帕金森病疼痛相关因素的详细了解仍在不断发展。在这项研究中，我们使用两份经过验证的问卷，即帕金森病问卷（PDQ）和国王帕金森病疼痛问卷（KPPQ），检查了疼痛引起的残疾以及帕金森病患者所经历的疼痛。还包括定制问题，以进一步探讨帕金森病患者的疼痛经历和管理策略。通过统计分析，我们探讨了问卷分数、社会人口统计数据和其他相关变量之间的关系。此外，还采用生成人工智能（AI）来更深入地了解患者的反应。结果表明帕金森病疼痛的程度和影响，并为更有针对性和个性化的管理提供有价值的见解。这项研究为未来的研究和旨在改善受这种疾病影响的个人的生活质量的干预措施的开发奠定了基础。