A predictive model for disability in patients with lumbar disc herniation

作者：Chen Hsin Ni^*; Tsai Yun Fang

来源：Journal of Orthopaedic Science, 2013, 18(2): 220-229.

DOI：10.1007/s00776-012-0354-1

Lumbar disc herniation may influence patients%26apos; daily activities and social interactions; however, no predictive models of disability could be found for patients with lumbar disc herniation. We aimed to explore predictive factors for disability in patients with lumbar disc herniation. %26lt;br%26gt;The sample included 216 patients recruited from the orthopedic outpatient clinics at a medical center in northern Taiwan. Data were collected on patients%26apos; pain, fatigue, depression, disability, and demographics. Hierarchical multiple regression analysis was used in model verification. Path analysis was used to investigate causal relationships between disability and other factors. %26lt;br%26gt;In path analysis, the most influential factor affecting the disability level was the pain level (standardized regression coefficient, b = 0.746), followed by the fatigue level (b = 0.138) and depression level (b = 0.100). The depression level was directly affected by the fatigue level (b = 0.416) and the pain level (b = 0.367), the fatigue level was directly affected by the pain level (b = 0.538), and the pain level was directly affected by age (b = 0.140) and previous surgery (b = 0.260). %26lt;br%26gt;We recommend that health-care providers regularly assess and treat pain and depression to reduce/prevent disability among patients with lumbar disc herniation, even among those who are apparently functioning well in the community.

• 出版日期2013-3
• 单位长春大学