| Summary: | 碩士 === 國防醫學院 === 公共衛生學研究所 === 102 === Background: Knee osteoarthritis (OA) is one of the most common forms of chronic joint disease worldwide. The impact of knee pain on health-related quality of life (HRQoL) may differ according to the severity of knee OA, and little research reported the influence of knee OA on the HRQoL and physical function. However, the findings of these studies remain controversial.
Purpose: The purpose of this study is to assess the HRQoL in the elderly and to determine its relationships with conventional clinical measure and self-reported disability, WOMAC and SF-12. In addition, to develop risk prediction model for knee OA.
Material and methods: This study was used secondary data and analyzed 901 participants. The participants’ information was collected by a questionnaire to assess demographics, knee symptoms, OA risk factors, and general health. To evaluate degree of knee pain and health-related quality of life, the WOMAC and the SF-12 were used. For each elderly, radiographic OA is assessed using the Kellgren/Lawrence (K/L) grading system. Knee functional ability is assessed using the 6 Meter-up-and-Go and the Five Times Sit-to-Stand Test.
Results: The radiographic serious of knee OA patients have the worse WOMAC, SF-12 and knee functional ability, especially in females. The influence factors of WOMAC are knee functional ability, exercise, the severity of knee and gender and can be explained 19.9% variance. In addition, the WOMAC, gender, 6 Meter-up-and-Go and exercise can be explained 43.6% variance of PCS. The WOMAC, 6 Meter-up-and-Go, exercise and education can be explained 16.5% variance of MCS. Finally, we found that the risk factors of knee OA are age, gender, BMI and WOMAC scores and develop the prediction model. The area under curve of ROC was 0.581 and the cut-off point was 101.46 points. If the scores more than 101.46 points, that indicates possible morbidity.
Conclusion: The HRQoL of knee OA patients would affect by the severity of knee, gender, education, knee functional ability and exercise. The risk factors of knee OA are age, gender, BMI and WOMAC scores and we use the risk factors to develop the prediction model.
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