This study explored the role of potential risk variables, measured during the acute stage of pain, in predicting two development of chronic pain. Linear discriminant function analyses were performed on a subset of data from a large prospective pain prevalence study. The relationships among selected demographic, medical, psychological, and cognitive variables with the development of chronic pain was examined in 371 hospitalized patients experiencing acute pain at the initial interview. Pain was assessed at follow-up interviews (3 weeks, 3 and 6 months). A prediction equation maximizing the differences between the group who subsequently developed chronic pain and the group whose pain resolved was developed. Patients who developed chronic pain reported significantly higher pain intensity levels continuing to the 3-week follow-up, higher anxiety and distress levels continuing to the 3-week follow-up, less certainty that their pain would resolve, had been hospitalized for a longer period of time in the past year, were less independent in their ambulation, and were more likely to have a diagnosis of trauma and not to have undergone surgery. Multiple factors contributed to the development of chronic pain. An awareness of these factors could lead to early identification of those individuals with acute pain who are at risk for developing chronic pain.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.56998 |
| Date | January 1993 |
| Creators | White, Carole |
| Contributors | Jeans, Mary Ellen (advisor) |
| Publisher | McGill University |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Format | application/pdf |
| Coverage | Master of Science (School of Nursing.) |
| Rights | All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated. |
| Relation | alephsysno: 001327689, proquestno: AAIMM87746, Theses scanned by UMI/ProQuest. |
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